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100 Commits

Author SHA1 Message Date
Bart
fd06404e04 release: Bump version to 3.2.0-b4 2026-05-04 14:10:37 -04:00
Ayaz Salikhov
92910466be ci: Rewrite clang-tidy workflow(s) in a reusable manner (#7062) 2026-05-04 14:10:06 -04:00
Alex Kremer
de7d9c9b54 chore: Ignore identifier-naming update in git blame (#7066)
Co-authored-by: Bart <bthomee@users.noreply.github.com>
Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>
2026-05-04 14:10:06 -04:00
Alex Kremer
3d06263830 refactor: Enable clang-tidy readability-identifier-naming check (#6571) 2026-05-04 14:09:33 -04:00
Bart
7515811efa refactor: Revert certain Throws by LogicErrors (#7036)
Co-authored-by: Bart <11445373+bthomee@users.noreply.github.com>
2026-05-04 10:13:55 -04:00
Ayaz Salikhov
0de4678284 ci: Rename print-env -> print-build-env (#7061) 2026-05-04 10:13:55 -04:00
Pratik Mankawde
8cfe4524aa fix: Gate -mcmodel flags to x86_64 in sanitizer builds (#7049)
Signed-off-by: Pratik Mankawde <3397372+pratikmankawde@users.noreply.github.com>
2026-05-04 10:13:55 -04:00
Vito Tumas
321b867978 fix: Prevents overwriting a bool value in an invariant (#6609)
Co-authored-by: Ed Hennis <ed@ripple.com>
2026-05-04 10:13:55 -04:00
Pratik Mankawde
f4a454c099 fix: Address code review comments regarding boost::coroutine2 (#6977)
Signed-off-by: Pratik Mankawde <3397372+pratikmankawde@users.noreply.github.com>
2026-05-04 10:13:54 -04:00
Bart
3054fb8852 refactor: Apply various minor improvements and corrections (#7045)
Co-authored-by: Bart <11445373+bthomee@users.noreply.github.com>
2026-05-04 10:13:54 -04:00
Zhiyuan Wang
4da46d31ac fix: Store Delegate object in delegating and authorized account directories for proper deletion (#6681) 2026-05-04 10:13:54 -04:00
Ayaz Salikhov
ed3aa6ecf5 ci: Use print-env from XRPLF/actions (#7052) 2026-05-04 10:13:54 -04:00
Mayukha Vadari
ebdafa3209 fix: Make assorted RPC fixes (#6529)
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
2026-05-04 10:13:54 -04:00
Alex Kremer
1c6fab8345 chore: Enable clang-tidy v21 new checks (#7031) 2026-05-04 10:13:54 -04:00
Jingchen
60fc9da97e feat: Create new transaction testing framework TxTest (#6537)
Signed-off-by: JCW <a1q123456@users.noreply.github.com>
Co-authored-by: xrplf-ai-reviewer[bot] <266832837+xrplf-ai-reviewer[bot]@users.noreply.github.com>
Co-authored-by: Copilot <copilot@github.com>
2026-05-04 10:13:54 -04:00
Vito Tumas
168bc7bdc7 feat: Add cleanup amendment for 3.2.0 (#7037) 2026-05-04 10:13:54 -04:00
Pratik Mankawde
62c49eb1b4 fix: Fix ubsan flagged issues (#6151)
Signed-off-by: Pratik Mankawde <3397372+pratikmankawde@users.noreply.github.com>
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
Co-authored-by: xrplf-ai-reviewer[bot] <266832837+xrplf-ai-reviewer[bot]@users.noreply.github.com>
2026-05-04 10:13:54 -04:00
Alex Kremer
917acc59e0 chore: Enable clang-tidy modernize-use-nodiscard check (#7015) 2026-05-04 10:13:53 -04:00
Pratik Mankawde
47c620cc04 fix: Resolve MSVC Debug build failure in JobQueue.h; re-enable _CRTDBG_MAP_ALLOC in CI (#6993)
Signed-off-by: Pratik Mankawde <3397372+pratikmankawde@users.noreply.github.com>
Co-authored-by: Ed Hennis <ed@ripple.com>
2026-05-04 10:13:53 -04:00
Zhiyuan Wang
58a89cda9c docs: Update hybrid offer invariant comment (#7007) 2026-05-04 10:13:53 -04:00
Mayukha Vadari
06f9b04634 fix: Fix flaky CI tests (#7005)
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
2026-05-04 10:13:53 -04:00
Mayukha Vadari
93be0797f0 docs: Update bug bounty information (#7006) 2026-05-04 10:13:53 -04:00
Mayukha Vadari
b8792e2422 fix: Make assorted Payments fixes (#6585) 2026-05-04 10:13:53 -04:00
Mayukha Vadari
f42915d61b refactor: Move LendingHelpers into libxrpl/ledger/helpers (#6638)
Co-authored-by: xrplf-ai-reviewer[bot] <266832837+xrplf-ai-reviewer[bot]@users.noreply.github.com>
2026-05-04 10:13:53 -04:00
Jingchen
e34bf5bcee refactor: Clean up NetworkOPs (#6575)
Signed-off-by: JCW <a1q123456@users.noreply.github.com>
2026-05-04 10:13:53 -04:00
Alex Kremer
7345de6c67 fix: Remaining clang-tidy unchecked optionals (#6979) 2026-05-04 10:13:53 -04:00
Jingchen
3f9a83be41 refactor: Remove seq from TMGetObjectByHash (#6976) 2026-05-04 10:13:52 -04:00
Alex Kremer
20866d5af3 chore: Add pre-commit hook to fix include style (#6995)
Co-authored-by: Ayaz Salikhov <mathbunnyru@users.noreply.github.com>
2026-05-04 10:13:52 -04:00
pdp2121
ea05679a39 feat: Add --definitions flag and artifact (#6858)
Co-authored-by: Ayaz Salikhov <mathbunnyru@users.noreply.github.com>
2026-05-04 10:13:52 -04:00
Mayukha Vadari
2a30934bb1 fix: More clang-tidy issues (#6992) 2026-05-04 10:13:52 -04:00
Alex Kremer
c9427b0f3e chore: Optionally run clang-tidy via pre-commit (#6680)
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Co-authored-by: Ayaz Salikhov <mathbunnyru@users.noreply.github.com>
Co-authored-by: Bart <bthomee@users.noreply.github.com>
2026-05-04 10:13:52 -04:00
Vito Tumas
998daf6e20 refactor: Add transaction-specific invariant checking (#6551) 2026-05-04 10:13:52 -04:00
Ayaz Salikhov
cb5678abee style: Add bashate pre-commit hook to unify bash style (#6994) 2026-05-04 10:13:52 -04:00
Alex Kremer
be86e3ce24 chore: Add -fix to clang-tidy invocation (#6990) 2026-05-04 10:13:52 -04:00
Jingchen
1aba0d9a6b chore: Remove empty Taker.h (#6984) 2026-05-04 10:13:52 -04:00
Alex Kremer
dab0ceaf8b chore: Enable clang-tidy modernize checks (#6975)
Co-authored-by: Bart <11445373+bthomee@users.noreply.github.com>
Co-authored-by: Bart <bthomee@users.noreply.github.com>
2026-05-04 10:13:51 -04:00
Ayaz Salikhov
4ed8178584 ci: Upload clang-tidy git diff (#6983) 2026-05-04 10:13:51 -04:00
Alex Kremer
394c7cab80 fix: Add rounding to Vault invariants (#6217) (#6955)
Co-authored-by: Vito Tumas <5780819+Tapanito@users.noreply.github.com>
Co-authored-by: Ed Hennis <ed@ripple.com>
2026-05-04 10:13:51 -04:00
yinyiqian1
366899d5a7 fix: Disallow MPTClearRequireAuth if is set (#6712)
Co-authored-by: Ayaz Salikhov <mathbunnyru@users.noreply.github.com>
2026-05-04 10:13:51 -04:00
Alex Kremer
5cf9e0ccfc feat: Add GRPC TLS support (#6374)
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
2026-05-04 10:13:51 -04:00
Zhiyuan Wang
6c9244e810 fix: Check for empty sfAdditionalBooks array in hybrid offer invariant (#6716) 2026-05-04 10:13:51 -04:00
chuanshanjida
d6e7dbabfa chore: Remove repetitive word in multiple files (#6978)
Signed-off-by: chuanshanjida <chuanshanjida@outlook.com>
2026-05-04 10:13:51 -04:00
Ayaz Salikhov
297f7119b5 ci: Add workflow to check PR description has been filled (#6965) 2026-05-04 10:13:50 -04:00
dependabot[bot]
c953afec55 ci: [DEPENDABOT] Bump tj-actions/changed-files from 47.0.5 to 47.0.6 (#6973)
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2026-05-04 10:13:50 -04:00
Alex Kremer
9e8ac41983 chore: Enable clang-tidy include cleaner (#6947) 2026-05-04 10:13:50 -04:00
Gregory Tsipenyuk
a38d3fc725 fix: Change AMMClawback return code to tecNO_PERMISSION (#6946) 2026-05-04 10:13:50 -04:00
dependabot[bot]
e017d0cfdd ci: [DEPENDABOT] bump actions/upload-pages-artifact from 4.0.0 to 5.0.0 (#6927)
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2026-05-04 10:13:50 -04:00
dependabot[bot]
6a3603211c ci: [DEPENDABOT] bump actions/upload-artifact from 7.0.0 to 7.0.1 (#6928)
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2026-05-04 10:13:49 -04:00
Alex Kremer
3e67c0f71d chore: Enable clang-tidy readability checks (#6930)
Co-authored-by: Ayaz Salikhov <mathbunnyru@users.noreply.github.com>
2026-05-04 10:13:49 -04:00
Jingchen
a29f94a764 fix: Fix unity build for book step (#6942)
Co-authored-by: xrplf-ai-reviewer[bot] <266832837+xrplf-ai-reviewer[bot]@users.noreply.github.com>
2026-05-04 10:13:49 -04:00
Sergey Kuznetsov
392c87349f chore: Move codegen venv setup into build stage (#6617)
Co-authored-by: JCW <a1q123456@users.noreply.github.com>
Co-authored-by: Bart <bthomee@users.noreply.github.com>
2026-05-04 10:13:49 -04:00
Alex Kremer
09ea87c12e chore: Enable most clang-tidy bugprone checks (#6929)
Co-authored-by: Ayaz Salikhov <mathbunnyru@users.noreply.github.com>
2026-05-04 10:13:49 -04:00
Bart
f85e2d5bbe refactor: Improve exception handling (#6540) (#6735)
Co-authored-by: Bart <11445373+bthomee@users.noreply.github.com>
2026-05-04 10:13:48 -04:00
Zhiyuan Wang
5a1db481df refactor: Remove unused notTooManyOffers function from NFTokenUtils (#6737) 2026-05-04 10:13:48 -04:00
Bart
d12a5490df fix: Change Tuning::bookOffers minimum limit to 1 (#6812)
Co-authored-by: Bart <11445373+bthomee@users.noreply.github.com>
2026-05-04 10:13:48 -04:00
Ed Hennis
051d551cbe chore: Make pre-commit line ending conversions work on Windows (#6832) (#6833) 2026-05-04 10:13:48 -04:00
Gregory Tsipenyuk
ee3ef638f3 fix: Add description for terLOCKED error (#6811) 2026-05-04 10:13:48 -04:00
yinyiqian1
058ccb4da6 fix: Address AI reviewer comments for Permission Delegation (#6675) 2026-05-04 10:13:48 -04:00
Mayukha Vadari
70b770f99b refactor: Combine AMMHelpers and AMMUtils (#6733) 2026-05-04 10:13:47 -04:00
Gregory Tsipenyuk
27c28be574 feat: Add MPT support to DEX (#5285) 2026-05-04 10:13:47 -04:00
Pratik Mankawde
48ece2779d fix: Handle WSClient write failure when server closes WebSocket (#6671)
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
2026-05-04 10:13:47 -04:00
Ayaz Salikhov
5d03da8051 ci: Change conditions for uploading artifacts in public/private/org repos (#6734) 2026-05-04 10:13:47 -04:00
Bart
79a3ab4c22 refactor: Rename non-functional uses of ripple(d) to xrpl(d) (#6676)
Co-authored-by: Bart <11445373+bthomee@users.noreply.github.com>
2026-05-04 10:13:47 -04:00
Mayukha Vadari
f2a7ee0067 refactor: Move more helper files into libxrpl/ledger/helpers (#6731)
Co-authored-by: xrplf-ai-reviewer[bot] <266832837+xrplf-ai-reviewer[bot]@users.noreply.github.com>
2026-05-04 10:13:46 -04:00
Mayukha Vadari
06453c15a0 fix: Minor RPC fixes (#6730) 2026-05-04 10:13:46 -04:00
Zhiyuan Wang
f1b9046c91 fix: Prevent deletion of MPTokens with active escrow (#6635)
Co-authored-by: Bart <bthomee@users.noreply.github.com>
2026-05-04 10:13:46 -04:00
Vito Tumas
26e310e498 fix: Clamp VaultClawback to assetsAvailable for zero-amount clawback (#6646) 2026-05-04 10:13:46 -04:00
Vito Tumas
6ba5576b92 fix: Add assorted Lending Protocol fixes (#6678)
Co-authored-by: Shawn Xie <35279399+shawnxie999@users.noreply.github.com>
2026-05-04 10:13:46 -04:00
Mayukha Vadari
48d2eb20b3 fix: Change variable signedness and correctly handle std::optional (#6657) 2026-05-04 10:13:45 -04:00
Mayukha Vadari
a772faf339 refactor: Reorganize RPC handler files (#6628) 2026-05-04 10:13:45 -04:00
Ayaz Salikhov
d6e8f81834 chore: Update XRPLF/actions (#6713) 2026-05-04 10:13:45 -04:00
yinyiqian1
e5b0b6f674 docs: Add explanatory comment to checkFee (#6631) 2026-05-04 10:13:45 -04:00
yinyiqian1
17f26ba973 fix: Decouple reserve from fee in delegate payment (#6568) 2026-05-04 10:13:45 -04:00
Vito Tumas
28c53362b6 fix: Check trustline limits for share-denominated vault withdrawals (#6645) 2026-05-04 10:13:45 -04:00
Bart
b6a09a4d2c release: Bump version to 3.2.0-b3 2026-04-01 13:27:58 -04:00
Valentin Balaschenko
3adad49c86 fix: Remove fatal assertion on Linux thread name truncation (#6690) 2026-04-01 13:27:23 -04:00
Alex Kremer
f04943fc50 chore: Enable clang-tidy coreguidelines checks (#6698)
Co-authored-by: Ayaz Salikhov <mathbunnyru@users.noreply.github.com>
2026-04-01 13:27:23 -04:00
Ayaz Salikhov
ab7f683b2f ci: Allow uploading artifacts for XRPLF org (#6702) 2026-04-01 13:27:23 -04:00
Vito Tumas
14749fdfb0 fix: Enforce aggregate MaximumAmount in multi-send MPT (#6644)
Co-authored-by: xrplf-ai-reviewer[bot] <266832837+xrplf-ai-reviewer[bot]@users.noreply.github.com>
2026-04-01 13:27:22 -04:00
Ayaz Salikhov
c6ddf6aa1c chore: Use nudb recipe from the upstream (#6701) 2026-04-01 13:27:22 -04:00
Mayukha Vadari
ee3a08c8d4 fix: Fix previous ledger size typo in RCLConsensus (#6696) 2026-04-01 13:27:22 -04:00
Alex Kremer
2dc705bd99 chore: Enable clang-tidy misc checks (#6655) 2026-04-01 13:27:22 -04:00
Ayaz Salikhov
7315c57edc ci: Use pull_request_target to check for signed commits (#6697) 2026-04-01 13:27:22 -04:00
Bart
5a66086fce chore: Remove unnecessary clang-format off/on directives (#6682)
Co-authored-by: Bart <11445373+bthomee@users.noreply.github.com>
2026-04-01 13:27:21 -04:00
Pratik Mankawde
682dda8bfc fix: Fix Workers::stop() race between m_allPaused and m_runningTaskCount (#6574)
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-01 13:27:21 -04:00
Bart
aac17f588a release: Bump version to 3.2.0-b2 2026-03-30 14:52:51 -04:00
Ayaz Salikhov
cbc09b2999 ci: Only publish docs in public repos (#6687) 2026-03-30 14:52:09 -04:00
Alex Kremer
453d94da17 chore: Enable remaining clang-tidy performance checks (#6648)
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
2026-03-30 14:52:09 -04:00
Jingchen
b36aedb4d5 refactor: Address PR comments after the modularisation PRs (#6389)
Signed-off-by: JCW <a1q123456@users.noreply.github.com>
Co-authored-by: Bart <bthomee@users.noreply.github.com>
2026-03-30 14:52:09 -04:00
Alex Kremer
18540c97a5 chore: Fix clang-tidy header filter (#6686) 2026-03-30 14:52:08 -04:00
dependabot[bot]
8e3d87fce3 ci: [DEPENDABOT] bump actions/deploy-pages from 4.0.5 to 5.0.0 (#6684)
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2026-03-30 14:52:08 -04:00
dependabot[bot]
b83dc9aa16 ci: [DEPENDABOT] bump codecov/codecov-action from 5.5.3 to 6.0.0 (#6685)
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2026-03-30 14:52:08 -04:00
Pratik Mankawde
0c76bf991a fix: Guard Coro::resume() against completed coroutines (#6608)
Signed-off-by: Pratik Mankawde <3397372+pratikmankawde@users.noreply.github.com>
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-30 14:52:08 -04:00
Vito Tumas
29aba28f5b refactor: Split LoanInvariant into LoanBrokerInvariant and LoanInvariant (#6674) 2026-03-30 14:52:08 -04:00
Ayaz Salikhov
b3f14c4052 ci: Don't publish docs on release branches (#6673) 2026-03-30 14:52:08 -04:00
Jingchen
e26624dcd1 refactor: Make function naming in ServiceRegistry consistent (#6390)
Signed-off-by: JCW <a1q123456@users.noreply.github.com>
Co-authored-by: Ed Hennis <ed@ripple.com>
2026-03-30 14:52:08 -04:00
Valentin Balaschenko
885f7b8c33 chore: Shorten job names to stay within Linux 15-char thread limit (#6669) 2026-03-30 14:52:07 -04:00
Vito Tumas
dcf973bc50 fix: Improve loan invariant message (#6668) 2026-03-30 14:52:07 -04:00
Ayaz Salikhov
68596f60d8 ci: Upload artifacts only in public repositories (#6670) 2026-03-30 14:52:07 -04:00
Bart
aac64d3b85 Update version (#6672) 2026-03-26 09:50:04 -04:00
1000 changed files with 15252 additions and 36881 deletions

View File

@@ -156,13 +156,7 @@ Checks: "-*,
# readability-inconsistent-declaration-parameter-name, # in this codebase this check will break a lot of arg names
# readability-static-accessed-through-instance, # this check is probably unnecessary. it makes the code less readable
# ---
CheckOptions:
bugprone-unsafe-functions.ReportMoreUnsafeFunctions: true
bugprone-unused-return-value.CheckedReturnTypes: ::std::error_code;::std::error_condition;::std::errc
misc-include-cleaner.IgnoreHeaders: ".*/(detail|impl)/.*;.*fwd\\.h(pp)?;time.h;stdlib.h;sqlite3.h;netinet/in\\.h;sys/resource\\.h;sys/sysinfo\\.h;linux/sysinfo\\.h;__chrono/.*;bits/.*;_abort\\.h;boost/uuid/uuid_hash.hpp;boost/beast/core/flat_buffer\\.hpp;boost/beast/http/field\\.hpp;boost/beast/http/dynamic_body\\.hpp;boost/beast/http/message\\.hpp;boost/beast/http/read\\.hpp;boost/beast/http/write\\.hpp;openssl/obj_mac\\.h"
readability-braces-around-statements.ShortStatementLines: 2
readability-identifier-naming.MacroDefinitionCase: UPPER_CASE
readability-identifier-naming.ClassCase: CamelCase
@@ -171,7 +165,7 @@ CheckOptions:
readability-identifier-naming.EnumCase: CamelCase
readability-identifier-naming.EnumConstantCase: CamelCase
readability-identifier-naming.ScopedEnumConstantCase: CamelCase
readability-identifier-naming.GlobalConstantCase: CamelCase
readability-identifier-naming.GlobalConstantCase: UPPER_CASE
readability-identifier-naming.GlobalConstantPrefix: "k"
readability-identifier-naming.GlobalVariableCase: CamelCase
readability-identifier-naming.GlobalVariablePrefix: "g"
@@ -179,26 +173,27 @@ CheckOptions:
readability-identifier-naming.ConstexprMethodCase: camelBack
readability-identifier-naming.ClassMethodCase: camelBack
readability-identifier-naming.ClassMemberCase: camelBack
readability-identifier-naming.ClassConstantCase: CamelCase
readability-identifier-naming.ClassConstantCase: UPPER_CASE
readability-identifier-naming.ClassConstantPrefix: "k"
readability-identifier-naming.StaticConstantCase: CamelCase
readability-identifier-naming.StaticConstantCase: UPPER_CASE
readability-identifier-naming.StaticConstantPrefix: "k"
readability-identifier-naming.StaticVariableCase: camelBack
readability-identifier-naming.ConstexprVariableCase: camelBack
readability-identifier-naming.StaticVariableCase: UPPER_CASE
readability-identifier-naming.StaticVariablePrefix: "k"
readability-identifier-naming.ConstexprVariableCase: UPPER_CASE
readability-identifier-naming.ConstexprVariablePrefix: "k"
readability-identifier-naming.LocalConstantCase: camelBack
readability-identifier-naming.LocalVariableCase: camelBack
readability-identifier-naming.TemplateParameterCase: CamelCase
readability-identifier-naming.ParameterCase: camelBack
readability-identifier-naming.FunctionCase: camelBack
readability-identifier-naming.MemberCase: camelBack
readability-identifier-naming.PrivateMemberCase: camelBack
readability-identifier-naming.PrivateMemberSuffix: _
readability-identifier-naming.ProtectedMemberCase: camelBack
readability-identifier-naming.ProtectedMemberSuffix: _
readability-identifier-naming.PublicMemberCase: camelBack
readability-identifier-naming.PublicMemberSuffix: ""
readability-identifier-naming.GlobalFunctionIgnoredRegexp: "^(to_string|hash_append|tuple_hash)$"
HeaderFilterRegex: '^.*/(tests?|xrpl|xrpld)/.*\.(h|hpp|ipp)$'
bugprone-unsafe-functions.ReportMoreUnsafeFunctions: true
bugprone-unused-return-value.CheckedReturnTypes: ::std::error_code;::std::error_condition;::std::errc
misc-include-cleaner.IgnoreHeaders: ".*/(detail|impl)/.*;.*fwd\\.h(pp)?;time.h;stdlib.h;sqlite3.h;netinet/in\\.h;sys/resource\\.h;sys/sysinfo\\.h;linux/sysinfo\\.h;__chrono/.*;bits/.*;_abort\\.h;boost/uuid/uuid_hash.hpp;boost/beast/core/flat_buffer\\.hpp;boost/beast/http/field\\.hpp;boost/beast/http/dynamic_body\\.hpp;boost/beast/http/message\\.hpp;boost/beast/http/read\\.hpp;boost/beast/http/write\\.hpp;openssl/obj_mac\\.h"
HeaderFilterRegex: '^.*/(test|xrpl|xrpld)/.*\.(h|hpp|ipp)$'
ExcludeHeaderFilterRegex: '^.*/protocol_autogen/.*\.(h|hpp)$'
WarningsAsErrors: "*"

View File

@@ -37,12 +37,12 @@ runs:
run: |
echo 'Installing dependencies.'
conan install \
--profile ci \
--build="${BUILD_OPTION}" \
--options:host='&:tests=True' \
--options:host='&:xrpld=True' \
--settings:all build_type="${BUILD_TYPE}" \
--conf:all tools.build:jobs=${BUILD_NPROC} \
--conf:all tools.build:verbosity="${LOG_VERBOSITY}" \
--conf:all tools.compilation:verbosity="${LOG_VERBOSITY}" \
.
--profile ci \
--build="${BUILD_OPTION}" \
--options:host='&:tests=True' \
--options:host='&:xrpld=True' \
--settings:all build_type="${BUILD_TYPE}" \
--conf:all tools.build:jobs=${BUILD_NPROC} \
--conf:all tools.build:verbosity="${LOG_VERBOSITY}" \
--conf:all tools.compilation:verbosity="${LOG_VERBOSITY}" \
.

View File

@@ -15,7 +15,7 @@ runs:
shell: bash
env:
VERSION: ${{ github.ref_name }}
run: echo "VERSION=${VERSION}" >>"${GITHUB_ENV}"
run: echo "VERSION=${VERSION}" >> "${GITHUB_ENV}"
# When a tag is not pushed, then the version (e.g. 1.2.3-b0) is extracted
# from the BuildInfo.cpp file and the shortened commit hash appended to it.
@@ -28,17 +28,17 @@ runs:
echo 'Extracting version from BuildInfo.cpp.'
VERSION="$(cat src/libxrpl/protocol/BuildInfo.cpp | grep "versionString =" | awk -F '"' '{print $2}')"
if [[ -z "${VERSION}" ]]; then
echo 'Unable to extract version from BuildInfo.cpp.'
exit 1
echo 'Unable to extract version from BuildInfo.cpp.'
exit 1
fi
echo 'Appending shortened commit hash to version.'
SHA='${{ github.sha }}'
VERSION="${VERSION}+${SHA:0:7}"
echo "VERSION=${VERSION}" >>"${GITHUB_ENV}"
echo "VERSION=${VERSION}" >> "${GITHUB_ENV}"
- name: Output version
id: version
shell: bash
run: echo "version=${VERSION}" >>"${GITHUB_OUTPUT}"
run: echo "version=${VERSION}" >> "${GITHUB_OUTPUT}"

View File

@@ -1,403 +0,0 @@
#!/usr/bin/env python3
"""
Format embedded shell snippets using the shfmt hook configured in
.pre-commit-config.yaml.
Two shapes are recognised:
* YAML workflow/action files: literal block-scalar runs (`run: |`) and
single-line runs (`run: some command`). A single-line run is upgraded to
a `run: |` block scalar if shfmt's output spans multiple lines.
* Markdown files: ``` ```bash ``` fenced code blocks.
Any block that shfmt cannot parse is skipped with a warning on stderr, so
the file is left untouched and surrounding blocks still get formatted.
For each occurrence the body is dedented, written to a temp .sh file,
formatted via `pre-commit run shfmt --files <temp>` (falling back to
`prek`), then re-indented and written back in place.
When invoked without arguments, every .yml/.yaml under .github/ plus every
.md file in the repo is scanned. When invoked with file arguments (the
pre-commit case), only those files are processed.
"""
from __future__ import annotations
import re
import shutil
import subprocess
import sys
import tempfile
from dataclasses import dataclass
from pathlib import Path
from typing import Union
REPO = Path(__file__).resolve().parents[2]
_HOOK_RUNNER = next((cmd for cmd in ("pre-commit", "prek") if shutil.which(cmd)), None)
if _HOOK_RUNNER is None:
sys.exit("error: neither `pre-commit` nor `prek` found on PATH")
RUN_BLOCK_RE = re.compile(r"^(?P<prefix>[ \t]*(?:- )?)run:[ \t]*\|[+-]?[ \t]*$")
RUN_INLINE_RE = re.compile(
r"^(?P<prefix>[ \t]*(?:- )?)run:[ \t]+" r"(?P<value>(?!\|[+-]?[ \t]*$)\S.*?)[ \t]*$"
)
MD_BASH_OPEN_RE = re.compile(r"^(?P<indent>[ ]{0,3})`{3}bash[ \t]*$")
MD_FENCE_CLOSE_RE = re.compile(r"^[ ]{0,3}`{3,}[ \t]*$")
@dataclass(frozen=True)
class BlockRun:
"""A `run: |` block scalar; `body_start:body_end` slices into `lines`."""
body_start: int
body_end: int
body_indent: int
@dataclass(frozen=True)
class InlineRun:
"""A single-line `run: value` at `line_idx`."""
line_idx: int
prefix: str
value: str
@dataclass(frozen=True)
class MdBashBlock:
"""A markdown ``` ```bash ``` fenced code block.
`body_start:body_end` slices into the file's lines; `open_line_idx`
points at the opening fence line.
"""
open_line_idx: int
body_start: int
body_end: int
body_indent: int
RunItem = Union[BlockRun, InlineRun]
def _scan_block_body(
lines: list[str], body_start: int, run_col: int
) -> tuple[int | None, int]:
"""Locate the body of a `run: |` block scalar starting at `body_start`.
Returns `(body_indent, scan_end)`. `scan_end` is the line index where the
outer scanner should resume. `body_indent` is `None` when no body is
present (the scalar is empty, or the next non-blank line has indent
`<= run_col`).
"""
body_indent: int | None = None
scan_end = len(lines)
for idx in range(body_start, len(lines)):
line = lines[idx]
if line.strip() == "":
continue
indent = len(line) - len(line.lstrip(" "))
if body_indent is None:
if indent > run_col:
body_indent = indent
else:
scan_end = idx
break
elif indent < body_indent:
scan_end = idx
break
if body_indent is not None:
while scan_end > body_start and lines[scan_end - 1].strip() == "":
scan_end -= 1
if scan_end <= body_start:
body_indent = None
return body_indent, scan_end
def find_run_blocks(lines: list[str]) -> list[RunItem]:
"""Return run items in document order."""
items: list[RunItem] = []
line_idx = 0
while line_idx < len(lines):
line = lines[line_idx]
if block_match := RUN_BLOCK_RE.match(line):
run_col = len(block_match.group("prefix"))
body_start = line_idx + 1
body_indent, scan_end = _scan_block_body(lines, body_start, run_col)
if body_indent is not None:
items.append(
BlockRun(
body_start=body_start,
body_end=scan_end,
body_indent=body_indent,
)
)
line_idx = scan_end
continue
if inline_match := RUN_INLINE_RE.match(line):
items.append(
InlineRun(
line_idx=line_idx,
prefix=inline_match.group("prefix"),
value=inline_match.group("value"),
)
)
line_idx += 1
return items
def find_md_bash_blocks(lines: list[str]) -> list[MdBashBlock]:
"""Return ``` ```bash ``` fenced code blocks in document order."""
blocks: list[MdBashBlock] = []
line_idx = 0
while line_idx < len(lines):
open_match = MD_BASH_OPEN_RE.match(lines[line_idx])
if not open_match:
line_idx += 1
continue
body_start = line_idx + 1
close_idx = next(
(
j
for j in range(body_start, len(lines))
if MD_FENCE_CLOSE_RE.match(lines[j])
),
None,
)
if close_idx is None:
line_idx = body_start
continue
body = lines[body_start:close_idx]
non_blank = [b for b in body if b.strip()]
body_indent = (
min(len(b) - len(b.lstrip(" ")) for b in non_blank)
if non_blank
else len(open_match.group("indent"))
)
blocks.append(
MdBashBlock(
open_line_idx=line_idx,
body_start=body_start,
body_end=close_idx,
body_indent=body_indent,
)
)
line_idx = close_idx + 1
return blocks
def dedent(lines: list[str], n: int) -> list[str]:
pad = " " * n
return [
(
""
if line.strip() == ""
else (line[n:] if line.startswith(pad) else line.lstrip(" "))
)
for line in lines
]
def reindent(lines: list[str], n: int) -> list[str]:
pad = " " * n
return [pad + line if line else "" for line in lines]
_SHFMT_ERR_RE = re.compile(r"\.sh:\d+:\d+:\s")
_GHA_EXPR_RE = re.compile(r"\$\{\{.*?\}\}", re.DOTALL)
_GHA_PLACEHOLDER_RE = re.compile(r"__GHA_EXPR_(\d+)__")
def _encode_gha_exprs(text: str) -> tuple[str, list[str]]:
"""Replace `${{ ... }}` expressions with bash-safe placeholder identifiers."""
exprs: list[str] = []
def repl(match: re.Match[str]) -> str:
exprs.append(match.group(0))
return f"__GHA_EXPR_{len(exprs) - 1}__"
return _GHA_EXPR_RE.sub(repl, text), exprs
def _decode_gha_exprs(text: str, exprs: list[str]) -> str:
"""Restore `${{ ... }}` expressions from placeholder identifiers."""
return _GHA_PLACEHOLDER_RE.sub(lambda m: exprs[int(m.group(1))], text)
def shfmt_via_hook(tmp_path: Path) -> tuple[bool, str]:
# `${{ ... }}` is not valid shell, so swap it for a placeholder identifier
# that shfmt can parse, then restore it after formatting.
encoded, exprs = _encode_gha_exprs(tmp_path.read_text())
if exprs:
tmp_path.write_text(encoded)
res = subprocess.run(
[_HOOK_RUNNER, "run", "shfmt", "--files", str(tmp_path)],
cwd=REPO,
capture_output=True,
text=True,
)
output = res.stdout + res.stderr
# shfmt emits parse errors as "<path>:<line>:<col>: <message>".
parse_err = bool(_SHFMT_ERR_RE.search(output))
# A non-zero exit that is neither a parse error nor pre-commit's "I had
# to modify files" signal means the hook itself failed to run (missing
# binary, install failure, bad config, ...). Surface that loudly rather
# than silently treating it as a no-op.
if (
res.returncode != 0
and not parse_err
and "files were modified by this hook" not in output
):
sys.exit(
f"error: `{_HOOK_RUNNER} run shfmt` failed with exit {res.returncode}:\n{output}"
)
if exprs and not parse_err:
tmp_path.write_text(_decode_gha_exprs(tmp_path.read_text(), exprs))
return not parse_err, output
def _skip(path: Path, where: int, kind: str, output: str) -> None:
print(
f" shfmt could not parse {kind} at {path}:{where + 1} — skipped",
file=sys.stderr,
)
print(f" {output.strip()}", file=sys.stderr)
def process_yaml_file(path: Path, tmp_path: Path) -> int:
text = path.read_text()
had_nl = text.endswith("\n")
lines = text.split("\n")
if had_nl:
lines = lines[:-1]
items = find_run_blocks(lines)
if not items:
return 0
changed = 0
# Process in reverse so earlier indices remain valid as we splice.
for item in reversed(items):
if isinstance(item, BlockRun):
body = lines[item.body_start : item.body_end]
tmp_path.write_text("\n".join(dedent(body, item.body_indent)) + "\n")
ok, output = shfmt_via_hook(tmp_path)
if not ok:
_skip(path, item.body_start, "block", output)
continue
formatted = tmp_path.read_text().rstrip("\n")
new_body = reindent(formatted.split("\n"), item.body_indent)
if new_body != body:
lines[item.body_start : item.body_end] = new_body
changed += 1
else:
tmp_path.write_text(item.value + "\n")
ok, output = shfmt_via_hook(tmp_path)
if not ok:
_skip(path, item.line_idx, "inline run", output)
continue
formatted = tmp_path.read_text().rstrip("\n")
if formatted == item.value:
continue
formatted_lines = formatted.split("\n")
if len(formatted_lines) == 1:
lines[item.line_idx] = f"{item.prefix}run: {formatted}"
else:
body_indent = len(item.prefix) + 2
lines[item.line_idx : item.line_idx + 1] = [
f"{item.prefix}run: |",
*reindent(formatted_lines, body_indent),
]
changed += 1
new_text = "\n".join(lines) + ("\n" if had_nl else "")
if new_text != text:
path.write_text(new_text)
return changed
def process_md_file(path: Path, tmp_path: Path) -> int:
text = path.read_text()
had_nl = text.endswith("\n")
lines = text.split("\n")
if had_nl:
lines = lines[:-1]
blocks = find_md_bash_blocks(lines)
if not blocks:
return 0
changed = 0
for block in reversed(blocks):
body = lines[block.body_start : block.body_end]
tmp_path.write_text("\n".join(dedent(body, block.body_indent)) + "\n")
ok, output = shfmt_via_hook(tmp_path)
if not ok:
_skip(path, block.open_line_idx, "```bash block", output)
continue
formatted = tmp_path.read_text().rstrip("\n")
formatted_lines = formatted.split("\n") if formatted else []
new_body = reindent(formatted_lines, block.body_indent)
if new_body != body:
lines[block.body_start : block.body_end] = new_body
changed += 1
new_text = "\n".join(lines) + ("\n" if had_nl else "")
if new_text != text:
path.write_text(new_text)
return changed
def process_file(path: Path, tmp_path: Path) -> int:
if path.suffix in (".yml", ".yaml"):
return process_yaml_file(path, tmp_path)
if path.suffix == ".md":
return process_md_file(path, tmp_path)
return 0
def gather_files(argv: list[str]) -> list[Path]:
"""Return YAML workflow/action files and markdown files that we should
process — either the paths in `argv` or, when `argv` is empty, every
such file in the repo (skipping `external/`)."""
if argv:
candidates: list[Path] = [
(REPO / a).resolve() if not Path(a).is_absolute() else Path(a) for a in argv
]
else:
gh = REPO / ".github"
candidates = [
*gh.rglob("*.yml"),
*gh.rglob("*.yaml"),
*(
p
for p in REPO.rglob("*.md")
if "external" not in p.relative_to(REPO).parts
),
]
return sorted(
p
for p in candidates
if p.exists()
and (
(p.suffix in (".yml", ".yaml") and ".github" in p.parts)
or p.suffix == ".md"
)
)
def main(argv: list[str]) -> int:
files = gather_files(argv)
if not files:
return 0
with tempfile.TemporaryDirectory(prefix="format-inline-bash-") as tmpdir:
tmp_path = Path(tmpdir) / "shfmt.sh"
total = 0
for f in files:
n = process_file(f, tmp_path)
if n:
print(f"{f.relative_to(REPO)}: reformatted {n} block(s)")
total += n
return 1 if total else 0
if __name__ == "__main__":
sys.exit(main(sys.argv[1:]))

0
.github/scripts/levelization/generate.py vendored Executable file → Normal file
View File

View File

@@ -4,9 +4,6 @@ Loop: test.jtx test.toplevel
Loop: test.jtx test.unit_test
test.unit_test ~= test.jtx
Loop: xrpl.telemetry xrpld.rpc
xrpld.rpc ~= xrpl.telemetry
Loop: xrpld.app xrpld.overlay
xrpld.app > xrpld.overlay

View File

@@ -41,8 +41,6 @@ libxrpl.shamap > xrpl.basics
libxrpl.shamap > xrpl.nodestore
libxrpl.shamap > xrpl.protocol
libxrpl.shamap > xrpl.shamap
libxrpl.telemetry > xrpl.basics
libxrpl.telemetry > xrpl.telemetry
libxrpl.tx > xrpl.basics
libxrpl.tx > xrpl.conditions
libxrpl.tx > xrpl.core
@@ -199,7 +197,6 @@ tests.libxrpl > xrpl.protocol
tests.libxrpl > xrpl.protocol_autogen
tests.libxrpl > xrpl.server
tests.libxrpl > xrpl.shamap
tests.libxrpl > xrpl.telemetry
tests.libxrpl > xrpl.tx
xrpl.conditions > xrpl.basics
xrpl.conditions > xrpl.protocol
@@ -234,7 +231,6 @@ xrpl.server > xrpl.shamap
xrpl.shamap > xrpl.basics
xrpl.shamap > xrpl.nodestore
xrpl.shamap > xrpl.protocol
xrpl.telemetry > xrpl.basics
xrpl.tx > xrpl.basics
xrpl.tx > xrpl.core
xrpl.tx > xrpl.ledger
@@ -253,7 +249,6 @@ xrpld.app > xrpl.rdb
xrpld.app > xrpl.resource
xrpld.app > xrpl.server
xrpld.app > xrpl.shamap
xrpld.app > xrpl.telemetry
xrpld.app > xrpl.tx
xrpld.consensus > xrpl.basics
xrpld.consensus > xrpl.json

View File

@@ -6,7 +6,7 @@ set -e
# On MacOS, ensure that GNU sed is installed and available as `gsed`.
SED_COMMAND=sed
if [[ "${OSTYPE}" == 'darwin'* ]]; then
if ! command -v gsed &>/dev/null; then
if ! command -v gsed &> /dev/null; then
echo "Error: gsed is not installed. Please install it using 'brew install gnu-sed'."
exit 1
fi

View File

@@ -8,12 +8,12 @@ set -e
SED_COMMAND=sed
HEAD_COMMAND=head
if [[ "${OSTYPE}" == 'darwin'* ]]; then
if ! command -v gsed &>/dev/null; then
if ! command -v gsed &> /dev/null; then
echo "Error: gsed is not installed. Please install it using 'brew install gnu-sed'."
exit 1
fi
SED_COMMAND=gsed
if ! command -v ghead &>/dev/null; then
if ! command -v ghead &> /dev/null; then
echo "Error: ghead is not installed. Please install it using 'brew install coreutils'."
exit 1
fi
@@ -74,10 +74,10 @@ if grep -q '"xrpld"' cmake/XrplCore.cmake; then
# The script has been rerun, so just restore the name of the binary.
${SED_COMMAND} -i 's/"xrpld"/"rippled"/' cmake/XrplCore.cmake
elif ! grep -q '"rippled"' cmake/XrplCore.cmake; then
${HEAD_COMMAND} -n -1 cmake/XrplCore.cmake >cmake.tmp
echo ' # For the time being, we will keep the name of the binary as it was.' >>cmake.tmp
echo ' set_target_properties(xrpld PROPERTIES OUTPUT_NAME "rippled")' >>cmake.tmp
tail -1 cmake/XrplCore.cmake >>cmake.tmp
${HEAD_COMMAND} -n -1 cmake/XrplCore.cmake > cmake.tmp
echo ' # For the time being, we will keep the name of the binary as it was.' >> cmake.tmp
echo ' set_target_properties(xrpld PROPERTIES OUTPUT_NAME "rippled")' >> cmake.tmp
tail -1 cmake/XrplCore.cmake >> cmake.tmp
mv cmake.tmp cmake/XrplCore.cmake
fi

View File

@@ -6,7 +6,7 @@ set -e
# On MacOS, ensure that GNU sed is installed and available as `gsed`.
SED_COMMAND=sed
if [[ "${OSTYPE}" == 'darwin'* ]]; then
if ! command -v gsed &>/dev/null; then
if ! command -v gsed &> /dev/null; then
echo "Error: gsed is not installed. Please install it using 'brew install gnu-sed'."
exit 1
fi
@@ -62,7 +62,7 @@ ${SED_COMMAND} -i 's@ripple/@xrpld/@g' src/test/core/Config_test.cpp
${SED_COMMAND} -i 's/Rippled/File/g' src/test/core/Config_test.cpp
# Restore the old config file name in the code that maintains support for now.
${SED_COMMAND} -i 's/kConfigLegacyName = "xrpld.cfg"/kConfigLegacyName = "rippled.cfg"/g' src/xrpld/core/detail/Config.cpp
${SED_COMMAND} -i 's/kCONFIG_LEGACY_NAME = "xrpld.cfg"/kCONFIG_LEGACY_NAME = "rippled.cfg"/g' src/xrpld/core/detail/Config.cpp
# Restore an URL.
${SED_COMMAND} -i 's/connect-your-xrpld-to-the-xrp-test-net.html/connect-your-rippled-to-the-xrp-test-net.html/g' cfg/xrpld-example.cfg

View File

@@ -6,7 +6,7 @@ set -e
# On MacOS, ensure that GNU sed is installed and available as `gsed`.
SED_COMMAND=sed
if [[ "${OSTYPE}" == 'darwin'* ]]; then
if ! command -v gsed &>/dev/null; then
if ! command -v gsed &> /dev/null; then
echo "Error: gsed is not installed. Please install it using 'brew install gnu-sed'."
exit 1
fi
@@ -62,37 +62,37 @@ done
# restoring the verbiage that is already present in LICENSE.md. Ensure that if
# the script is run multiple times, duplicate notices are not added.
if ! grep -q 'Raw Material Software' include/xrpl/beast/core/CurrentThreadName.h; then
echo -e "// Portions of this file are from JUCE (http://www.juce.com).\n// Copyright (c) 2013 - Raw Material Software Ltd.\n// Please visit http://www.juce.com\n\n$(cat include/xrpl/beast/core/CurrentThreadName.h)" >include/xrpl/beast/core/CurrentThreadName.h
echo -e "// Portions of this file are from JUCE (http://www.juce.com).\n// Copyright (c) 2013 - Raw Material Software Ltd.\n// Please visit http://www.juce.com\n\n$(cat include/xrpl/beast/core/CurrentThreadName.h)" > include/xrpl/beast/core/CurrentThreadName.h
fi
if ! grep -q 'Dev Null' src/test/app/NetworkID_test.cpp; then
echo -e "// Copyright (c) 2020 Dev Null Productions\n\n$(cat src/test/app/NetworkID_test.cpp)" >src/test/app/NetworkID_test.cpp
echo -e "// Copyright (c) 2020 Dev Null Productions\n\n$(cat src/test/app/NetworkID_test.cpp)" > src/test/app/NetworkID_test.cpp
fi
if ! grep -q 'Dev Null' src/test/app/tx/apply_test.cpp; then
echo -e "// Copyright (c) 2020 Dev Null Productions\n\n$(cat src/test/app/tx/apply_test.cpp)" >src/test/app/tx/apply_test.cpp
echo -e "// Copyright (c) 2020 Dev Null Productions\n\n$(cat src/test/app/tx/apply_test.cpp)" > src/test/app/tx/apply_test.cpp
fi
if ! grep -q 'Dev Null' src/test/rpc/ManifestRPC_test.cpp; then
echo -e "// Copyright (c) 2020 Dev Null Productions\n\n$(cat src/test/rpc/ManifestRPC_test.cpp)" >src/test/rpc/ManifestRPC_test.cpp
echo -e "// Copyright (c) 2020 Dev Null Productions\n\n$(cat src/test/rpc/ManifestRPC_test.cpp)" > src/test/rpc/ManifestRPC_test.cpp
fi
if ! grep -q 'Dev Null' src/test/rpc/ValidatorInfo_test.cpp; then
echo -e "// Copyright (c) 2020 Dev Null Productions\n\n$(cat src/test/rpc/ValidatorInfo_test.cpp)" >src/test/rpc/ValidatorInfo_test.cpp
echo -e "// Copyright (c) 2020 Dev Null Productions\n\n$(cat src/test/rpc/ValidatorInfo_test.cpp)" > src/test/rpc/ValidatorInfo_test.cpp
fi
if ! grep -q 'Dev Null' src/xrpld/rpc/handlers/server_info/Manifest.cpp; then
echo -e "// Copyright (c) 2019 Dev Null Productions\n\n$(cat src/xrpld/rpc/handlers/server_info/Manifest.cpp)" >src/xrpld/rpc/handlers/server_info/Manifest.cpp
echo -e "// Copyright (c) 2019 Dev Null Productions\n\n$(cat src/xrpld/rpc/handlers/server_info/Manifest.cpp)" > src/xrpld/rpc/handlers/server_info/Manifest.cpp
fi
if ! grep -q 'Dev Null' src/xrpld/rpc/handlers/admin/status/ValidatorInfo.cpp; then
echo -e "// Copyright (c) 2019 Dev Null Productions\n\n$(cat src/xrpld/rpc/handlers/admin/status/ValidatorInfo.cpp)" >src/xrpld/rpc/handlers/admin/status/ValidatorInfo.cpp
echo -e "// Copyright (c) 2019 Dev Null Productions\n\n$(cat src/xrpld/rpc/handlers/admin/status/ValidatorInfo.cpp)" > src/xrpld/rpc/handlers/admin/status/ValidatorInfo.cpp
fi
if ! grep -q 'Bougalis' include/xrpl/basics/SlabAllocator.h; then
echo -e "// Copyright (c) 2022, Nikolaos D. Bougalis <nikb@bougalis.net>\n\n$(cat include/xrpl/basics/SlabAllocator.h)" >include/xrpl/basics/SlabAllocator.h # cspell: ignore Nikolaos Bougalis nikb
echo -e "// Copyright (c) 2022, Nikolaos D. Bougalis <nikb@bougalis.net>\n\n$(cat include/xrpl/basics/SlabAllocator.h)" > include/xrpl/basics/SlabAllocator.h # cspell: ignore Nikolaos Bougalis nikb
fi
if ! grep -q 'Bougalis' include/xrpl/basics/spinlock.h; then
echo -e "// Copyright (c) 2022, Nikolaos D. Bougalis <nikb@bougalis.net>\n\n$(cat include/xrpl/basics/spinlock.h)" >include/xrpl/basics/spinlock.h # cspell: ignore Nikolaos Bougalis nikb
echo -e "// Copyright (c) 2022, Nikolaos D. Bougalis <nikb@bougalis.net>\n\n$(cat include/xrpl/basics/spinlock.h)" > include/xrpl/basics/spinlock.h # cspell: ignore Nikolaos Bougalis nikb
fi
if ! grep -q 'Bougalis' include/xrpl/basics/tagged_integer.h; then
echo -e "// Copyright (c) 2014, Nikolaos D. Bougalis <nikb@bougalis.net>\n\n$(cat include/xrpl/basics/tagged_integer.h)" >include/xrpl/basics/tagged_integer.h # cspell: ignore Nikolaos Bougalis nikb
echo -e "// Copyright (c) 2014, Nikolaos D. Bougalis <nikb@bougalis.net>\n\n$(cat include/xrpl/basics/tagged_integer.h)" > include/xrpl/basics/tagged_integer.h # cspell: ignore Nikolaos Bougalis nikb
fi
if ! grep -q 'Ritchford' include/xrpl/beast/utility/Zero.h; then
echo -e "// Copyright (c) 2014, Tom Ritchford <tom@swirly.com>\n\n$(cat include/xrpl/beast/utility/Zero.h)" >include/xrpl/beast/utility/Zero.h # cspell: ignore Ritchford
echo -e "// Copyright (c) 2014, Tom Ritchford <tom@swirly.com>\n\n$(cat include/xrpl/beast/utility/Zero.h)" > include/xrpl/beast/utility/Zero.h # cspell: ignore Ritchford
fi
# Restore newlines and tabs in string literals in the affected file.

View File

@@ -6,7 +6,7 @@ set -e
# On MacOS, ensure that GNU sed is installed and available as `gsed`.
SED_COMMAND=sed
if [[ "${OSTYPE}" == 'darwin'* ]]; then
if ! command -v gsed &>/dev/null; then
if ! command -v gsed &> /dev/null; then
echo "Error: gsed is not installed. Please install it using 'brew install gnu-sed'."
exit 1
fi

View File

@@ -6,7 +6,7 @@ set -e
# On MacOS, ensure that GNU sed is installed and available as `gsed`.
SED_COMMAND=sed
if [[ "${OSTYPE}" == 'darwin'* ]]; then
if ! command -v gsed &>/dev/null; then
if ! command -v gsed &> /dev/null; then
echo "Error: gsed is not installed. Please install it using 'brew install gnu-sed'."
exit 1
fi
@@ -90,7 +90,7 @@ ${SED_COMMAND} -i 's/www.ripple.com/www.xrpl.org/g' src/test/protocol/Seed_test.
# Restore specific changes.
${SED_COMMAND} -i 's@b5efcc/src/xrpld@b5efcc/src/ripple@' include/xrpl/protocol/README.md
${SED_COMMAND} -i 's/dbPrefix_ = "xrpldb"/dbPrefix_ = "rippledb"/' src/xrpld/app/misc/SHAMapStoreImp.h # cspell: disable-line
${SED_COMMAND} -i 's/kConfigLegacyName = "xrpld.cfg"/kConfigLegacyName = "rippled.cfg"/' src/xrpld/core/detail/Config.cpp
${SED_COMMAND} -i 's/kCONFIG_LEGACY_NAME = "xrpld.cfg"/kCONFIG_LEGACY_NAME = "rippled.cfg"/' src/xrpld/core/detail/Config.cpp
popd
echo "Renaming complete."

View File

@@ -6,7 +6,7 @@ set -e
# On MacOS, ensure that GNU sed is installed and available as `gsed`.
SED_COMMAND=sed
if [[ "${OSTYPE}" == 'darwin'* ]]; then
if ! command -v gsed &>/dev/null; then
if ! command -v gsed &> /dev/null; then
echo "Error: gsed is not installed. Please install it using 'brew install gnu-sed'."
exit 1
fi

View File

@@ -32,32 +32,7 @@ We will further set additional CMake arguments as follows:
"""
def build_config_name(os_entry: dict[str, str], platform: str, build_type: str) -> str:
parts = [os_entry["distro_name"]]
for key in ("distro_version", "compiler_name", "compiler_version"):
if value := os_entry[key]:
parts.append(value)
parts.append("arm64" if "arm64" in platform else "amd64")
parts.append(build_type.lower())
return "-".join(parts)
def generate_packaging_matrix(config: Config) -> list[dict]:
"""Emit one entry per os entry with `package: true`. Architecture is
hardcoded to linux/amd64 here (and the runner is hardcoded at the
workflow level) until arm64 packaging is ready.
"""
return [
{
"artifact_name": f"xrpld-{build_config_name(os, 'linux/amd64', 'Release')}",
"os": os,
}
for os in config.os
if os.get("package", False)
]
def generate_strategy_matrix(all: bool, config: Config) -> list[dict]:
def generate_strategy_matrix(all: bool, config: Config) -> list:
configurations = []
for architecture, os, build_type, cmake_args in itertools.product(
config.architecture, config.os, config.build_type, config.cmake_args
@@ -97,7 +72,7 @@ def generate_strategy_matrix(all: bool, config: Config) -> list[dict]:
skip = False
if (
f"{os['compiler_name']}-{os['compiler_version']}" == "gcc-15"
and build_type == "Release"
and build_type == "Debug"
and architecture["platform"] == "linux/amd64"
):
skip = False
@@ -115,9 +90,8 @@ def generate_strategy_matrix(all: bool, config: Config) -> list[dict]:
):
cmake_args = f"-DUNIT_TEST_REFERENCE_FEE=1000 {cmake_args}"
skip = False
elif os["distro_version"] == "trixie":
if (
f"{os['compiler_name']}-{os['compiler_version']}" == "clang-22"
f"{os['compiler_name']}-{os['compiler_version']}" == "clang-20"
and build_type == "Debug"
and architecture["platform"] == "linux/amd64"
):
@@ -126,15 +100,14 @@ def generate_strategy_matrix(all: bool, config: Config) -> list[dict]:
continue
# RHEL:
# - 9 using GCC 12: Debug and Release on linux/amd64
# (Release is required for RPM packaging).
# - 9 using GCC 12: Debug on linux/amd64.
# - 10 using Clang: Release on linux/amd64.
if os["distro_name"] == "rhel":
skip = True
if os["distro_version"] == "9":
if (
f"{os['compiler_name']}-{os['compiler_version']}" == "gcc-12"
and build_type in ["Debug", "Release"]
and build_type == "Debug"
and architecture["platform"] == "linux/amd64"
):
skip = False
@@ -149,8 +122,7 @@ def generate_strategy_matrix(all: bool, config: Config) -> list[dict]:
continue
# Ubuntu:
# - Jammy using GCC 12: Debug on linux/arm64, Release on
# linux/amd64 (Release is required for DEB packaging).
# - Jammy using GCC 12: Debug on linux/arm64.
# - Noble using GCC 14: Release on linux/amd64.
# - Noble using Clang 18: Debug on linux/amd64.
# - Noble using Clang 19: Release on linux/arm64.
@@ -163,12 +135,6 @@ def generate_strategy_matrix(all: bool, config: Config) -> list[dict]:
and architecture["platform"] == "linux/arm64"
):
skip = False
if (
f"{os['compiler_name']}-{os['compiler_version']}" == "gcc-12"
and build_type == "Release"
and architecture["platform"] == "linux/amd64"
):
skip = False
elif os["distro_version"] == "noble":
if (
f"{os['compiler_name']}-{os['compiler_version']}" == "gcc-14"
@@ -222,9 +188,8 @@ def generate_strategy_matrix(all: bool, config: Config) -> list[dict]:
# We skip all clang 20+ on arm64 due to Boost build error.
if (
os["compiler_name"] == "clang"
and os["compiler_version"].isdigit()
and int(os["compiler_version"]) >= 20
f"{os['compiler_name']}-{os['compiler_version']}"
in ["clang-20", "clang-21"]
and architecture["platform"] == "linux/arm64"
):
continue
@@ -251,7 +216,17 @@ def generate_strategy_matrix(all: bool, config: Config) -> list[dict]:
# Generate a unique name for the configuration, e.g. macos-arm64-debug
# or debian-bookworm-gcc-12-amd64-release.
config_name = build_config_name(os, architecture["platform"], build_type)
config_name = os["distro_name"]
if (n := os["distro_version"]) != "":
config_name += f"-{n}"
if (n := os["compiler_name"]) != "":
config_name += f"-{n}"
if (n := os["compiler_version"]) != "":
config_name += f"-{n}"
config_name += (
f"-{architecture['platform'][architecture['platform'].find('/')+1:]}"
)
config_name += f"-{build_type.lower()}"
if "-Dcoverage=ON" in cmake_args:
config_name += "-coverage"
if "-Dunity=ON" in cmake_args:
@@ -263,14 +238,13 @@ def generate_strategy_matrix(all: bool, config: Config) -> list[dict]:
# Add Address and UB sanitizers as separate configurations for specific
# bookworm distros. Thread sanitizer is currently disabled (see below).
# GCC-Asan xrpld-embedded tests are failing because of https://github.com/google/sanitizers/issues/856
if (
os["distro_version"] == "bookworm"
and f"{os['compiler_name']}-{os['compiler_version']}" == "gcc-15"
) or (
os["distro_version"] == "trixie"
and f"{os['compiler_name']}-{os['compiler_version']}" == "clang-22"
):
# Add ASAN and UBSAN configurations for both gcc-15 and clang-22
if os[
"distro_version"
] == "bookworm" and f"{os['compiler_name']}-{os['compiler_version']}" in [
"gcc-15",
"clang-20",
]:
# Add ASAN configuration.
configurations.append(
{
"config_name": config_name + "-asan",
@@ -283,6 +257,7 @@ def generate_strategy_matrix(all: bool, config: Config) -> list[dict]:
"sanitizers": "address",
}
)
# Add UBSAN configuration.
configurations.append(
{
"config_name": config_name + "-ubsan",
@@ -355,19 +330,10 @@ if __name__ == "__main__":
required=False,
type=Path,
)
parser.add_argument(
"-p",
"--packaging",
help="Emit the packaging matrix (derived from the 'package' field on os entries) instead of the build/test matrix.",
action="store_true",
)
args = parser.parse_args()
matrix = []
if args.packaging:
config_path = args.config if args.config else THIS_DIR / "linux.json"
matrix += generate_packaging_matrix(read_config(config_path))
elif args.config is None or args.config == "":
if args.config is None or args.config == "":
matrix += generate_strategy_matrix(
args.all, read_config(THIS_DIR / "linux.json")
)

View File

@@ -15,205 +15,196 @@
"distro_version": "bookworm",
"compiler_name": "gcc",
"compiler_version": "12",
"image_sha": "4c086b9"
"image_sha": "ab4d1f0"
},
{
"distro_name": "debian",
"distro_version": "bookworm",
"compiler_name": "gcc",
"compiler_version": "13",
"image_sha": "4c086b9"
"image_sha": "ab4d1f0"
},
{
"distro_name": "debian",
"distro_version": "bookworm",
"compiler_name": "gcc",
"compiler_version": "14",
"image_sha": "4c086b9"
"image_sha": "ab4d1f0"
},
{
"distro_name": "debian",
"distro_version": "bookworm",
"compiler_name": "gcc",
"compiler_version": "15",
"image_sha": "4c086b9"
"image_sha": "ab4d1f0"
},
{
"distro_name": "debian",
"distro_version": "bookworm",
"compiler_name": "clang",
"compiler_version": "16",
"image_sha": "4c086b9"
"image_sha": "ab4d1f0"
},
{
"distro_name": "debian",
"distro_version": "bookworm",
"compiler_name": "clang",
"compiler_version": "17",
"image_sha": "4c086b9"
"image_sha": "ab4d1f0"
},
{
"distro_name": "debian",
"distro_version": "bookworm",
"compiler_name": "clang",
"compiler_version": "18",
"image_sha": "4c086b9"
"image_sha": "ab4d1f0"
},
{
"distro_name": "debian",
"distro_version": "bookworm",
"compiler_name": "clang",
"compiler_version": "19",
"image_sha": "4c086b9"
"image_sha": "ab4d1f0"
},
{
"distro_name": "debian",
"distro_version": "bookworm",
"compiler_name": "clang",
"compiler_version": "20",
"image_sha": "4c086b9"
"image_sha": "ab4d1f0"
},
{
"distro_name": "debian",
"distro_version": "trixie",
"compiler_name": "gcc",
"compiler_version": "14",
"image_sha": "4c086b9"
"image_sha": "ab4d1f0"
},
{
"distro_name": "debian",
"distro_version": "trixie",
"compiler_name": "gcc",
"compiler_version": "15",
"image_sha": "4c086b9"
"image_sha": "ab4d1f0"
},
{
"distro_name": "debian",
"distro_version": "trixie",
"compiler_name": "clang",
"compiler_version": "20",
"image_sha": "4c086b9"
"image_sha": "ab4d1f0"
},
{
"distro_name": "debian",
"distro_version": "trixie",
"compiler_name": "clang",
"compiler_version": "21",
"image_sha": "4c086b9"
},
{
"distro_name": "debian",
"distro_version": "trixie",
"compiler_name": "clang",
"compiler_version": "22",
"image_sha": "4c086b9"
"image_sha": "ab4d1f0"
},
{
"distro_name": "rhel",
"distro_version": "8",
"compiler_name": "gcc",
"compiler_version": "14",
"image_sha": "4c086b9"
"image_sha": "ab4d1f0"
},
{
"distro_name": "rhel",
"distro_version": "8",
"compiler_name": "clang",
"compiler_version": "any",
"image_sha": "4c086b9"
"image_sha": "ab4d1f0"
},
{
"distro_name": "rhel",
"distro_version": "9",
"compiler_name": "gcc",
"compiler_version": "12",
"image_sha": "4c086b9",
"package": true
"image_sha": "ab4d1f0"
},
{
"distro_name": "rhel",
"distro_version": "9",
"compiler_name": "gcc",
"compiler_version": "13",
"image_sha": "4c086b9"
"image_sha": "ab4d1f0"
},
{
"distro_name": "rhel",
"distro_version": "9",
"compiler_name": "gcc",
"compiler_version": "14",
"image_sha": "4c086b9"
"image_sha": "ab4d1f0"
},
{
"distro_name": "rhel",
"distro_version": "9",
"compiler_name": "clang",
"compiler_version": "any",
"image_sha": "4c086b9"
"image_sha": "ab4d1f0"
},
{
"distro_name": "rhel",
"distro_version": "10",
"compiler_name": "gcc",
"compiler_version": "14",
"image_sha": "4c086b9"
"image_sha": "ab4d1f0"
},
{
"distro_name": "rhel",
"distro_version": "10",
"compiler_name": "clang",
"compiler_version": "any",
"image_sha": "4c086b9"
"image_sha": "ab4d1f0"
},
{
"distro_name": "ubuntu",
"distro_version": "jammy",
"compiler_name": "gcc",
"compiler_version": "12",
"image_sha": "4c086b9",
"package": true
"image_sha": "ab4d1f0"
},
{
"distro_name": "ubuntu",
"distro_version": "noble",
"compiler_name": "gcc",
"compiler_version": "13",
"image_sha": "4c086b9"
"image_sha": "ab4d1f0"
},
{
"distro_name": "ubuntu",
"distro_version": "noble",
"compiler_name": "gcc",
"compiler_version": "14",
"image_sha": "4c086b9"
"image_sha": "ab4d1f0"
},
{
"distro_name": "ubuntu",
"distro_version": "noble",
"compiler_name": "clang",
"compiler_version": "16",
"image_sha": "4c086b9"
"image_sha": "ab4d1f0"
},
{
"distro_name": "ubuntu",
"distro_version": "noble",
"compiler_name": "clang",
"compiler_version": "17",
"image_sha": "4c086b9"
"image_sha": "ab4d1f0"
},
{
"distro_name": "ubuntu",
"distro_version": "noble",
"compiler_name": "clang",
"compiler_version": "18",
"image_sha": "4c086b9"
"image_sha": "ab4d1f0"
},
{
"distro_name": "ubuntu",
"distro_version": "noble",
"compiler_name": "clang",
"compiler_version": "19",
"image_sha": "4c086b9"
"image_sha": "ab4d1f0"
}
],
"build_type": ["Debug", "Release"],

View File

@@ -1,109 +0,0 @@
name: Build Nix Docker image
on:
push:
branches:
- develop
paths:
- ".github/workflows/build-nix-image.yml"
- ".github/workflows/reusable-build-docker-image.yml"
- "docker/**"
- "flake.nix"
- "flake.lock"
- "nix/**"
pull_request:
paths:
- ".github/workflows/build-nix-image.yml"
- ".github/workflows/reusable-build-docker-image.yml"
- "docker/**"
- "flake.nix"
- "flake.lock"
- "nix/**"
workflow_dispatch:
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: true
defaults:
run:
shell: bash
jobs:
build:
name: Build ${{ matrix.distro.name }} (${{ matrix.target.platform }})
permissions:
contents: read
packages: write
strategy:
fail-fast: false
matrix:
# The base images are the oldest supported version of each distro
# that we want to build images for.
distro:
- name: nixos
base_image: nixos/nix:latest
- name: ubuntu
base_image: ubuntu:20.04
- name: rhel
base_image: registry.access.redhat.com/ubi9/ubi:latest
- name: debian
base_image: debian:bookworm
target:
- platform: linux/amd64
runner: ubuntu-latest
- platform: linux/arm64
runner: ubuntu-24.04-arm
uses: ./.github/workflows/reusable-build-docker-image.yml
with:
image_name: ghcr.io/xrplf/xrpld/nix-${{ matrix.distro.name }}
dockerfile: docker/nix.Dockerfile
base_image: ${{ matrix.distro.base_image }}
platform: ${{ matrix.target.platform }}
runner: ${{ matrix.target.runner }}
push: ${{ github.repository == 'XRPLF/rippled' && github.event_name == 'push' }}
merge:
name: Merge ${{ matrix.distro }} manifest
needs: build
if: ${{ github.repository == 'XRPLF/rippled' && github.event_name == 'push' }}
runs-on: ubuntu-latest
permissions:
contents: read
packages: write
strategy:
fail-fast: false
matrix:
distro: [nixos, ubuntu, rhel, debian]
env:
IMAGE_NAME: ghcr.io/xrplf/xrpld/nix-${{ matrix.distro }}
steps:
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@d7f5e7f509e45cec5c76c4d5afdd7de93d0b3df5 # v4.1.0
- name: Docker metadata
id: meta
uses: docker/metadata-action@80c7e94dd9b9319bd5eb7a0e0fe9291e23a2a2e9 # v6.1.0
with:
images: ${{ env.IMAGE_NAME }}
tags: |
type=sha,prefix=sha-,format=short
type=raw,value=latest
- name: Login to GitHub Container Registry
uses: docker/login-action@650006c6eb7dba73a995cc03b0b2d7f5ca915bee # v4.2.0
with:
registry: ghcr.io
username: ${{ github.repository_owner }}
password: ${{ secrets.GITHUB_TOKEN }}
- name: Create multi-arch manifests
run: |
for tag in $(jq -cr '.tags[]' <<<"$DOCKER_METADATA_OUTPUT_JSON"); do
docker buildx imagetools create -t "$tag" "${tag}-amd64" "${tag}-arm64"
done
- name: Inspect image
run: |
docker buildx imagetools inspect "${IMAGE_NAME}:${{ steps.meta.outputs.version }}"

View File

@@ -5,17 +5,8 @@ on:
types:
- checks_requested
pull_request:
types:
- opened
- edited
- reopened
- synchronize
- ready_for_review
branches:
- develop
- "release-*"
- "release/*"
- "staging/*"
types: [opened, edited, reopened, synchronize, ready_for_review]
branches: [develop]
jobs:
check_description:
@@ -29,11 +20,11 @@ jobs:
env:
PR_BODY: ${{ github.event.pull_request.body }}
if: ${{ github.event_name == 'pull_request' }}
run: printenv PR_BODY >pr_body.md
run: printenv PR_BODY > pr_body.md
- name: Check PR description differs from template
if: ${{ github.event_name == 'pull_request' }}
run: |
python .github/scripts/check-pr-description.py \
--template-file .github/pull_request_template.md \
--pr-body-file pr_body.md
run: >
python .github/scripts/check-pr-description.py
--template-file .github/pull_request_template.md
--pr-body-file pr_body.md

View File

@@ -5,19 +5,10 @@ on:
types:
- checks_requested
pull_request:
types:
- opened
- edited
- reopened
- synchronize
- ready_for_review
branches:
- develop
- "release-*"
- "release/*"
- "staging/*"
types: [opened, edited, reopened, synchronize, ready_for_review]
branches: [develop]
jobs:
check_title:
if: ${{ github.event.pull_request.draft != true }}
uses: XRPLF/actions/.github/workflows/check-pr-title.yml@cba1f0891650baf1a9c88624dc2d72573be2eb81
uses: XRPLF/actions/.github/workflows/check-pr-title.yml@a5d8dd35be543365e90a11358447130c8763871d

View File

@@ -64,13 +64,11 @@ jobs:
.github/workflows/reusable-build-test-config.yml
.github/workflows/reusable-build-test.yml
.github/workflows/reusable-clang-tidy.yml
.github/workflows/reusable-package.yml
.github/workflows/reusable-strategy-matrix.yml
.github/workflows/reusable-test.yml
.github/workflows/reusable-upload-recipe.yml
.clang-tidy
.codecov.yml
cfg/**
cmake/**
conan/**
external/**
@@ -80,10 +78,6 @@ jobs:
CMakeLists.txt
conanfile.py
conan.lock
LICENSE.md
package/**
README.md
- name: Check whether to run
# This step determines whether the rest of the workflow should
# run. The rest of the workflow will run if this job runs AND at
@@ -98,7 +92,7 @@ jobs:
READY: ${{ contains(github.event.pull_request.labels.*.name, 'Ready to merge') }}
MERGE: ${{ github.event_name == 'merge_group' }}
run: |
echo "go=${{ (env.DRAFT != 'true' && env.READY == 'true') || env.FILES == 'true' || env.MERGE == 'true' }}" >>"${GITHUB_OUTPUT}"
echo "go=${{ (env.DRAFT != 'true' && env.READY == 'true') || env.FILES == 'true' || env.MERGE == 'true' }}" >> "${GITHUB_OUTPUT}"
cat "${GITHUB_OUTPUT}"
outputs:
go: ${{ steps.go.outputs.go == 'true' }}
@@ -140,11 +134,6 @@ jobs:
secrets:
CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
package:
needs: [should-run, build-test]
if: ${{ needs.should-run.outputs.go == 'true' }}
uses: ./.github/workflows/reusable-package.yml
upload-recipe:
needs:
- should-run
@@ -168,9 +157,9 @@ jobs:
PR_URL: ${{ github.event.pull_request.html_url }}
run: |
gh api --method POST -H "Accept: application/vnd.github+json" -H "X-GitHub-Api-Version: 2022-11-28" \
/repos/xrplf/clio/dispatches -f "event_type=check_libxrpl" \
-F "client_payload[ref]=${{ needs.upload-recipe.outputs.recipe_ref }}" \
-F "client_payload[pr_url]=${PR_URL}"
/repos/xrplf/clio/dispatches -f "event_type=check_libxrpl" \
-F "client_payload[ref]=${{ needs.upload-recipe.outputs.recipe_ref }}" \
-F "client_payload[pr_url]=${PR_URL}"
passed:
if: failure() || cancelled()
@@ -179,7 +168,6 @@ jobs:
- check-rename
- clang-tidy
- build-test
- package
- upload-recipe
- notify-clio
runs-on: ubuntu-latest

View File

@@ -1,5 +1,5 @@
# This workflow uploads the libxrpl recipe to the Conan remote and builds
# release packages when a versioned tag is pushed.
# This workflow uploads the libxrpl recipe to the Conan remote when a versioned
# tag is pushed.
name: Tag
on:
@@ -22,22 +22,3 @@ jobs:
secrets:
remote_username: ${{ secrets.CONAN_REMOTE_USERNAME }}
remote_password: ${{ secrets.CONAN_REMOTE_PASSWORD }}
build-test:
if: ${{ github.repository == 'XRPLF/rippled' }}
uses: ./.github/workflows/reusable-build-test.yml
strategy:
fail-fast: true
matrix:
os: [linux]
with:
ccache_enabled: false
os: ${{ matrix.os }}
strategy_matrix: minimal
secrets:
CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
package:
if: ${{ github.repository == 'XRPLF/rippled' }}
needs: build-test
uses: ./.github/workflows/reusable-package.yml

View File

@@ -21,13 +21,11 @@ on:
- ".github/workflows/reusable-build-test-config.yml"
- ".github/workflows/reusable-build-test.yml"
- ".github/workflows/reusable-clang-tidy.yml"
- ".github/workflows/reusable-package.yml"
- ".github/workflows/reusable-strategy-matrix.yml"
- ".github/workflows/reusable-test.yml"
- ".github/workflows/reusable-upload-recipe.yml"
- ".clang-tidy"
- ".codecov.yml"
- "cfg/**"
- "cmake/**"
- "conan/**"
- "external/**"
@@ -37,9 +35,6 @@ on:
- "CMakeLists.txt"
- "conanfile.py"
- "conan.lock"
- "LICENSE.md"
- "package/**"
- "README.md"
# Run at 06:32 UTC on every day of the week from Monday through Friday. This
# will force all dependencies to be rebuilt, which is useful to verify that
@@ -100,7 +95,3 @@ jobs:
secrets:
remote_username: ${{ secrets.CONAN_REMOTE_USERNAME }}
remote_password: ${{ secrets.CONAN_REMOTE_PASSWORD }}
package:
needs: build-test
uses: ./.github/workflows/reusable-package.yml

View File

@@ -14,7 +14,7 @@ on:
jobs:
# Call the workflow in the XRPLF/actions repo that runs the pre-commit hooks.
run-hooks:
uses: XRPLF/actions/.github/workflows/pre-commit.yml@cba1f0891650baf1a9c88624dc2d72573be2eb81
uses: XRPLF/actions/.github/workflows/pre-commit.yml@5e942d61bf32f7557a7c159cfac4712a687b3e3a
with:
runs_on: ubuntu-latest
container: '{ "image": "ghcr.io/xrplf/ci/tools-rippled-pre-commit:sha-41ec7c1" }'

View File

@@ -1,89 +0,0 @@
# Build a single-platform Docker image. On push, the image is pushed to
# GHCR with arch-suffixed tags (e.g. `:latest-amd64`, `:sha-abc-amd64`)
# so the calling workflow can stitch per-arch builds into a multi-arch
# manifest without needing to pass digests around.
name: Reusable build Docker image (single platform)
on:
workflow_call:
inputs:
image_name:
description: "Full image name without tag (e.g. 'ghcr.io/xrplf/xrpld/nix-ubuntu')"
required: true
type: string
dockerfile:
description: "Path to the Dockerfile, relative to the repository root"
required: true
type: string
base_image:
description: "Value passed to the Dockerfile as the BASE_IMAGE build arg"
required: true
type: string
platform:
description: "Docker platform string, e.g. linux/amd64"
required: true
type: string
runner:
description: "GitHub Actions runner label to build on"
required: true
type: string
push:
description: "Whether to push the image to GHCR"
required: true
type: boolean
defaults:
run:
shell: bash
jobs:
build:
name: Build (${{ inputs.platform }})
runs-on: ${{ inputs.runner }}
permissions:
contents: read
packages: write
steps:
- name: Checkout repository
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
- name: Determine arch
id: vars
env:
PLATFORM: ${{ inputs.platform }}
run: |
echo "arch=${PLATFORM##*/}" >>$GITHUB_OUTPUT
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@d7f5e7f509e45cec5c76c4d5afdd7de93d0b3df5 # v4.1.0
- name: Login to GitHub Container Registry
if: inputs.push
uses: docker/login-action@650006c6eb7dba73a995cc03b0b2d7f5ca915bee # v4.2.0
with:
registry: ghcr.io
username: ${{ github.repository_owner }}
password: ${{ secrets.GITHUB_TOKEN }}
- name: Docker metadata
id: meta
uses: docker/metadata-action@80c7e94dd9b9319bd5eb7a0e0fe9291e23a2a2e9 # v6.1.0
with:
images: ${{ inputs.image_name }}
tags: |
type=sha,prefix=sha-,format=short
type=raw,value=latest
flavor: |
suffix=-${{ steps.vars.outputs.arch }},onlatest=true
- name: Build and push
uses: docker/build-push-action@f9f3042f7e2789586610d6e8b85c8f03e5195baf # v7.2.0
with:
context: .
file: ${{ inputs.dockerfile }}
platforms: ${{ inputs.platform }}
push: ${{ inputs.push }}
tags: ${{ steps.meta.outputs.tags }}
labels: ${{ steps.meta.outputs.labels }}
build-args: BASE_IMAGE=${{ inputs.base_image }}

View File

@@ -113,7 +113,7 @@ jobs:
- name: Set ccache log file
if: ${{ inputs.ccache_enabled && runner.debug == '1' }}
run: echo "CCACHE_LOGFILE=${{ runner.temp }}/ccache.log" >>"${GITHUB_ENV}"
run: echo "CCACHE_LOGFILE=${{ runner.temp }}/ccache.log" >> "${GITHUB_ENV}"
- name: Print build environment
uses: XRPLF/actions/print-build-env@59dec886e4afb05a1724443af08baccbc045b574
@@ -143,14 +143,15 @@ jobs:
working-directory: ${{ env.BUILD_DIR }}
env:
BUILD_TYPE: ${{ inputs.build_type }}
SANITIZERS: ${{ inputs.sanitizers }}
CMAKE_ARGS: ${{ inputs.cmake_args }}
run: |
cmake \
-G '${{ runner.os == 'Windows' && 'Visual Studio 17 2022' || 'Ninja' }}' \
-DCMAKE_TOOLCHAIN_FILE:FILEPATH=build/generators/conan_toolchain.cmake \
-DCMAKE_BUILD_TYPE="${BUILD_TYPE}" \
${CMAKE_ARGS} \
..
-G '${{ runner.os == 'Windows' && 'Visual Studio 17 2022' || 'Ninja' }}' \
-DCMAKE_TOOLCHAIN_FILE:FILEPATH=build/generators/conan_toolchain.cmake \
-DCMAKE_BUILD_TYPE="${BUILD_TYPE}" \
${CMAKE_ARGS} \
..
- name: Check protocol autogen files are up-to-date
working-directory: ${{ env.BUILD_DIR }}
@@ -172,10 +173,10 @@ jobs:
cmake --build . --target code_gen
DIFF=$(git -C .. status --porcelain -- include/xrpl/protocol_autogen src/tests/libxrpl/protocol_autogen)
if [ -n "${DIFF}" ]; then
echo "::error::Generated protocol files are out of date"
git -C .. diff -- include/xrpl/protocol_autogen src/tests/libxrpl/protocol_autogen
echo "${MESSAGE}"
exit 1
echo "::error::Generated protocol files are out of date"
git -C .. diff -- include/xrpl/protocol_autogen src/tests/libxrpl/protocol_autogen
echo "${MESSAGE}"
exit 1
fi
- name: Build the binary
@@ -186,18 +187,18 @@ jobs:
CMAKE_TARGET: ${{ inputs.cmake_target }}
run: |
cmake \
--build . \
--config "${BUILD_TYPE}" \
--parallel "${BUILD_NPROC}" \
--target "${CMAKE_TARGET}"
--build . \
--config "${BUILD_TYPE}" \
--parallel "${BUILD_NPROC}" \
--target "${CMAKE_TARGET}"
- name: Show ccache statistics
if: ${{ inputs.ccache_enabled }}
run: |
ccache --show-stats -vv
if [ '${{ runner.debug }}' = '1' ]; then
cat "${CCACHE_LOGFILE}"
curl ${CCACHE_REMOTE_STORAGE%|*}/status || true
cat "${CCACHE_LOGFILE}"
curl ${CCACHE_REMOTE_STORAGE%|*}/status || true
fi
- name: Upload the binary (Linux)
@@ -214,7 +215,7 @@ jobs:
working-directory: ${{ env.BUILD_DIR }}
run: |
set -o pipefail
./xrpld --definitions | python3 -m json.tool >server_definitions.json
./xrpld --definitions | python3 -m json.tool > server_definitions.json
- name: Upload server definitions
if: ${{ github.event.repository.visibility == 'public' && inputs.config_name == 'debian-bookworm-gcc-13-amd64-release' }}
@@ -231,10 +232,10 @@ jobs:
run: |
ldd ./xrpld
if [ "$(ldd ./xrpld | grep -E '(libstdc\+\+|libgcc)' | wc -l)" -eq 0 ]; then
echo 'The binary is statically linked.'
echo 'The binary is statically linked.'
else
echo 'The binary is dynamically linked.'
exit 1
echo 'The binary is dynamically linked.'
exit 1
fi
- name: Verify presence of instrumentation (Linux)
@@ -250,12 +251,12 @@ jobs:
run: |
ASAN_OPTS="include=${GITHUB_WORKSPACE}/sanitizers/suppressions/runtime-asan-options.txt:suppressions=${GITHUB_WORKSPACE}/sanitizers/suppressions/asan.supp"
if [[ "${CONFIG_NAME}" == *gcc* ]]; then
ASAN_OPTS="${ASAN_OPTS}:alloc_dealloc_mismatch=0"
ASAN_OPTS="${ASAN_OPTS}:alloc_dealloc_mismatch=0"
fi
echo "ASAN_OPTIONS=${ASAN_OPTS}" >>${GITHUB_ENV}
echo "TSAN_OPTIONS=include=${GITHUB_WORKSPACE}/sanitizers/suppressions/runtime-tsan-options.txt:suppressions=${GITHUB_WORKSPACE}/sanitizers/suppressions/tsan.supp" >>${GITHUB_ENV}
echo "UBSAN_OPTIONS=include=${GITHUB_WORKSPACE}/sanitizers/suppressions/runtime-ubsan-options.txt:suppressions=${GITHUB_WORKSPACE}/sanitizers/suppressions/ubsan.supp" >>${GITHUB_ENV}
echo "LSAN_OPTIONS=include=${GITHUB_WORKSPACE}/sanitizers/suppressions/runtime-lsan-options.txt:suppressions=${GITHUB_WORKSPACE}/sanitizers/suppressions/lsan.supp" >>${GITHUB_ENV}
echo "ASAN_OPTIONS=${ASAN_OPTS}" >> ${GITHUB_ENV}
echo "TSAN_OPTIONS=include=${GITHUB_WORKSPACE}/sanitizers/suppressions/runtime-tsan-options.txt:suppressions=${GITHUB_WORKSPACE}/sanitizers/suppressions/tsan.supp" >> ${GITHUB_ENV}
echo "UBSAN_OPTIONS=include=${GITHUB_WORKSPACE}/sanitizers/suppressions/runtime-ubsan-options.txt:suppressions=${GITHUB_WORKSPACE}/sanitizers/suppressions/ubsan.supp" >> ${GITHUB_ENV}
echo "LSAN_OPTIONS=include=${GITHUB_WORKSPACE}/sanitizers/suppressions/runtime-lsan-options.txt:suppressions=${GITHUB_WORKSPACE}/sanitizers/suppressions/lsan.supp" >> ${GITHUB_ENV}
- name: Run the separate tests
if: ${{ !inputs.build_only }}
@@ -266,9 +267,9 @@ jobs:
PARALLELISM: ${{ runner.os == 'Windows' && '1' || steps.nproc.outputs.nproc }}
run: |
ctest \
--output-on-failure \
-C "${BUILD_TYPE}" \
-j "${PARALLELISM}"
--output-on-failure \
-C "${BUILD_TYPE}" \
-j "${PARALLELISM}"
- name: Run the embedded tests
if: ${{ !inputs.build_only }}
@@ -278,28 +279,20 @@ jobs:
run: |
set -o pipefail
# Coverage builds are slower due to instrumentation; use fewer parallel jobs to avoid flakiness
[ "$COVERAGE_ENABLED" = "true" ] && BUILD_NPROC=$((BUILD_NPROC - 2))
[ "$COVERAGE_ENABLED" = "true" ] && BUILD_NPROC=$(( BUILD_NPROC - 2 ))
./xrpld --unittest --unittest-jobs "${BUILD_NPROC}" 2>&1 | tee unittest.log
- name: Show test failure summary
if: ${{ failure() && !inputs.build_only }}
env:
WORKING_DIR: ${{ runner.os == 'Windows' && format('{0}\{1}', env.BUILD_DIR, inputs.build_type) || env.BUILD_DIR }}
working-directory: ${{ runner.os == 'Windows' && format('{0}/{1}', env.BUILD_DIR, inputs.build_type) || env.BUILD_DIR }}
run: |
if [ ! -d "${WORKING_DIR}" ]; then
echo "Working directory '${WORKING_DIR}' does not exist."
exit 0
fi
cd "${WORKING_DIR}"
if [ ! -f unittest.log ]; then
echo "unittest.log not found; embedded tests may not have run."
exit 0
echo "unittest.log not found; embedded tests may not have run."
exit 0
fi
if ! grep -E "failed" unittest.log; then
echo "Log present but no failure lines found in unittest.log."
echo "Log present but no failure lines found in unittest.log."
fi
- name: Debug failure (Linux)
if: ${{ failure() && runner.os == 'Linux' && !inputs.build_only }}
@@ -317,14 +310,14 @@ jobs:
BUILD_TYPE: ${{ inputs.build_type }}
run: |
cmake \
--build . \
--config "${BUILD_TYPE}" \
--parallel "${BUILD_NPROC}" \
--target coverage
--build . \
--config "${BUILD_TYPE}" \
--parallel "${BUILD_NPROC}" \
--target coverage
- name: Upload coverage report
if: ${{ github.repository == 'XRPLF/rippled' && !inputs.build_only && env.COVERAGE_ENABLED == 'true' }}
uses: codecov/codecov-action@e79a6962e0d4c0c17b229090214935d2e33f8354 # v6.0.1
uses: codecov/codecov-action@57e3a136b779b570ffcdbf80b3bdc90e7fab3de2 # v6.0.0
with:
disable_search: true
disable_telem: true

View File

@@ -38,9 +38,9 @@ jobs:
run: |
DIFF=$(git status --porcelain)
if [ -n "${DIFF}" ]; then
# Print the differences to give the contributor a hint about what to
# expect when running levelization on their own machine.
git diff
echo "${MESSAGE}"
exit 1
# Print the differences to give the contributor a hint about what to
# expect when running levelization on their own machine.
git diff
echo "${MESSAGE}"
exit 1
fi

View File

@@ -48,9 +48,9 @@ jobs:
run: |
DIFF=$(git status --porcelain)
if [ -n "${DIFF}" ]; then
# Print the differences to give the contributor a hint about what to
# expect when running the renaming scripts on their own machine.
git diff
echo "${MESSAGE}"
exit 1
# Print the differences to give the contributor a hint about what to
# expect when running the renaming scripts on their own machine.
git diff
echo "${MESSAGE}"
exit 1
fi

View File

@@ -29,7 +29,7 @@ jobs:
if: ${{ inputs.check_only_changed }}
permissions:
contents: read
uses: XRPLF/actions/.github/workflows/determine-tidy-files.yml@224f3c48d3014d082a1129237b8291ff0b0a331f
uses: XRPLF/actions/.github/workflows/determine-tidy-files.yml@12f5dbc98a2260259a66970e57fa4d26fb7f285c
run-clang-tidy:
name: Run clang tidy
@@ -39,7 +39,6 @@ jobs:
container: "ghcr.io/xrplf/ci/debian-trixie:clang-21-sha-53033a2"
permissions:
contents: read
issues: write
steps:
- name: Checkout repository
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
@@ -70,13 +69,13 @@ jobs:
working-directory: ${{ env.BUILD_DIR }}
run: |
cmake \
-G 'Ninja' \
-DCMAKE_TOOLCHAIN_FILE:FILEPATH=build/generators/conan_toolchain.cmake \
-DCMAKE_BUILD_TYPE="${BUILD_TYPE}" \
-Dtests=ON \
-Dwerr=ON \
-Dxrpld=ON \
..
-G 'Ninja' \
-DCMAKE_TOOLCHAIN_FILE:FILEPATH=build/generators/conan_toolchain.cmake \
-DCMAKE_BUILD_TYPE="${BUILD_TYPE}" \
-Dtests=ON \
-Dwerr=ON \
-Dxrpld=ON \
..
# clang-tidy needs headers generated from proto files
- name: Build libxrpl.libpb
@@ -93,11 +92,6 @@ jobs:
set -o pipefail
run-clang-tidy -j ${{ steps.nproc.outputs.nproc }} -p "${BUILD_DIR}" -quiet -fix -allow-no-checks ${TARGETS} 2>&1 | tee "${OUTPUT_FILE}"
- name: Print errors
if: ${{ steps.run_clang_tidy.outcome != 'success' }}
run: |
sed '/error\||/!d' "${OUTPUT_FILE}"
- name: Upload clang-tidy output
if: ${{ github.event.repository.visibility == 'public' && steps.run_clang_tidy.outcome != 'success' }}
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1
@@ -106,24 +100,13 @@ jobs:
archive: false
retention-days: 30
- name: Check for changes
id: files_changed
continue-on-error: true
run: |
git diff --exit-code
- name: Fix style
if: ${{ steps.files_changed.outcome != 'success' }}
run: |
pre-commit run --all-files || true
- name: Generate git diff
if: ${{ steps.files_changed.outcome != 'success' }}
if: ${{ steps.run_clang_tidy.outcome != 'success' }}
run: |
git diff | tee "${DIFF_FILE}"
- name: Upload clang-tidy diff output
if: ${{ github.event.repository.visibility == 'public' && steps.files_changed.outcome != 'success' }}
if: ${{ github.event.repository.visibility == 'public' && steps.run_clang_tidy.outcome != 'success' }}
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1
with:
path: ${{ env.DIFF_FILE }}
@@ -133,58 +116,98 @@ jobs:
- name: Write issue header
if: ${{ steps.run_clang_tidy.outcome != 'success' }}
run: |
cat >"${ISSUE_FILE}" <<EOF
# Prepare issue body with clang-tidy output
cat > "${ISSUE_FILE}" <<EOF
## Clang-tidy Check Failed
**Workflow:** ${{ github.workflow }}
**Run ID:** ${{ github.run_id }}
**Commit:** ${{ github.sha }}
**Branch/Ref:** ${{ github.ref }}
**Triggered by:** ${{ github.actor }}
### Clang-tidy Output:
\`\`\`
EOF
- name: Append clang-tidy output to issue body (filter for errors and warnings)
- name: Append clang-tidy output to issue body
if: ${{ steps.run_clang_tidy.outcome != 'success' }}
run: |
# Append clang-tidy output (filter for errors and warnings)
if [ -f "${OUTPUT_FILE}" ]; then
# Extract lines containing 'error:', 'warning:', or 'note:'
grep -E '(error:|warning:|note:)' "${OUTPUT_FILE}" >filtered-output.txt || true
# Extract lines containing 'error:', 'warning:', or 'note:'
grep -E '(error:|warning:|note:)' "${OUTPUT_FILE}" > filtered-output.txt || true
# If filtered output is empty, use original (might be a different error format)
if [ ! -s filtered-output.txt ]; then
cp "${OUTPUT_FILE}" filtered-output.txt
fi
# If filtered output is empty, use original (might be a different error format)
if [ ! -s filtered-output.txt ]; then
cp "${OUTPUT_FILE}" filtered-output.txt
fi
# Truncate if too large
head -c 60000 filtered-output.txt >>"${ISSUE_FILE}"
if [ "$(wc -c <filtered-output.txt)" -gt 60000 ]; then
echo "" >>"${ISSUE_FILE}"
echo "... (output truncated, see artifacts for full output)" >>"${ISSUE_FILE}"
fi
# Truncate if too large
head -c 60000 filtered-output.txt >> "${ISSUE_FILE}"
if [ "$(wc -c < filtered-output.txt)" -gt 60000 ]; then
echo "" >> "${ISSUE_FILE}"
echo "... (output truncated, see artifacts for full output)" >> "${ISSUE_FILE}"
fi
rm filtered-output.txt
rm filtered-output.txt
else
echo "No output file found" >>"${ISSUE_FILE}"
echo "No output file found" >> "${ISSUE_FILE}"
fi
- name: Append issue footer
if: ${{ steps.run_clang_tidy.outcome != 'success' }}
run: |
cat >>"${ISSUE_FILE}" <<EOF
cat >> "${ISSUE_FILE}" <<EOF
\`\`\`
**Workflow run:** ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}
---
*This issue was automatically created by the clang-tidy workflow.*
EOF
- name: Create issue
if: ${{ steps.run_clang_tidy.outcome != 'success' && inputs.create_issue_on_failure }}
uses: XRPLF/actions/create-issue@2b8bc36af85b88bca0dd7bfac2e2dc05f94ad712
- name: Upload issue body artifact
if: ${{ github.event.repository.visibility == 'public' && steps.run_clang_tidy.outcome != 'success' }}
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1
with:
title: "Clang-tidy check failed"
body_file: ${{ env.ISSUE_FILE }}
labels: "Bug,Clang-tidy"
assignees: "godexsoft,mathbunnyru"
path: ${{ env.ISSUE_FILE }}
archive: false
retention-days: 30
- name: Fail if clang-tidy found issues
if: ${{ steps.run_clang_tidy.outcome != 'success' }}
run: |
echo "Clang-tidy check failed!"
exit 1
create-issue-on-failure:
name: Create GitHub issue on failure
runs-on: ubuntu-latest
needs: [run-clang-tidy]
if: ${{ always() && !cancelled() && inputs.create_issue_on_failure && needs.run-clang-tidy.result == 'failure' && github.event.repository.visibility == 'public' }}
permissions:
issues: write
contents: read
steps:
- name: Download clang-tidy-issue.md
uses: actions/download-artifact@3e5f45b2cfb9172054b4087a40e8e0b5a5461e7c # v8.0.1
with:
name: ${{ env.ISSUE_FILE }}
- name: Create GitHub issue
env:
GH_TOKEN: ${{ github.token }}
run: |
# Create the issue
gh issue create \
--label "Bug,Clang-tidy" \
--title "Clang-tidy check failed" \
--body-file ./"${ISSUE_FILE}" \
> create_issue.log
- name: Output created issue number
run: |
created_issue="$(sed 's|.*/||' create_issue.log)"
echo "created_issue=$created_issue" >> $GITHUB_OUTPUT
echo "Created issue #$created_issue"

View File

@@ -1,99 +0,0 @@
# Build Linux packages (DEB and RPM) from pre-built binary artifacts.
# Discovers which configurations to package from linux.json (os entries
# with "package": true) and fans out one job per entry. Today only
# linux/amd64 is emitted; the architecture is hardcoded both here
# (runner) and in generate.py.
name: Package
on:
workflow_call:
inputs:
pkg_release:
description: "Package release number. Increment when repackaging the same executable."
required: false
type: string
default: "1"
defaults:
run:
shell: bash
env:
BUILD_DIR: build
jobs:
generate-matrix:
runs-on: ubuntu-latest
outputs:
matrix: ${{ steps.generate.outputs.matrix }}
steps:
- name: Checkout repository
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
- name: Set up Python
uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 # v6.2.0
with:
python-version: 3.13
- name: Generate packaging matrix
id: generate
working-directory: .github/scripts/strategy-matrix
run: |
./generate.py --packaging --config=linux.json >>"${GITHUB_OUTPUT}"
generate-version:
runs-on: ubuntu-latest
outputs:
version: ${{ steps.version.outputs.version }}
steps:
- name: Checkout repository
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
with:
sparse-checkout: |
.github/actions/generate-version
src/libxrpl/protocol/BuildInfo.cpp
- name: Generate version
id: version
uses: ./.github/actions/generate-version
package:
needs: [generate-matrix, generate-version]
if: ${{ github.event.repository.visibility == 'public' }}
strategy:
fail-fast: false
matrix: ${{ fromJson(needs.generate-matrix.outputs.matrix) }}
name: "${{ matrix.artifact_name }}"
permissions:
contents: read
runs-on: ["self-hosted", "Linux", "X64", "heavy"]
container: ${{ format('ghcr.io/xrplf/ci/{0}-{1}:{2}-{3}-sha-{4}', matrix.os.distro_name, matrix.os.distro_version, matrix.os.compiler_name, matrix.os.compiler_version, matrix.os.image_sha) }}
timeout-minutes: 30
steps:
- name: Checkout repository
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
- name: Download pre-built binary
uses: actions/download-artifact@3e5f45b2cfb9172054b4087a40e8e0b5a5461e7c # v8.0.1
with:
name: ${{ matrix.artifact_name }}
path: ${{ env.BUILD_DIR }}
- name: Make binary executable
run: chmod +x "${BUILD_DIR}/xrpld"
- name: Build package
env:
PKG_VERSION: ${{ needs.generate-version.outputs.version }}
PKG_RELEASE: ${{ inputs.pkg_release }}
run: ./package/build_pkg.sh
- name: Upload package artifact
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1
with:
name: ${{ matrix.artifact_name }}-pkg-${{ needs.generate-version.outputs.version }}
path: |
${{ env.BUILD_DIR }}/debbuild/*.deb
${{ env.BUILD_DIR }}/debbuild/*.ddeb
${{ env.BUILD_DIR }}/rpmbuild/RPMS/**/*.rpm
if-no-files-found: error

View File

@@ -42,4 +42,4 @@ jobs:
env:
GENERATE_CONFIG: ${{ inputs.os != '' && format('--config={0}.json', inputs.os) || '' }}
GENERATE_OPTION: ${{ inputs.strategy_matrix == 'all' && '--all' || '' }}
run: ./generate.py ${GENERATE_OPTION} ${GENERATE_CONFIG} >>"${GITHUB_OUTPUT}"
run: ./generate.py ${GENERATE_OPTION} ${GENERATE_CONFIG} >> "${GITHUB_OUTPUT}"

View File

@@ -37,57 +37,40 @@ repos:
exclude: ^include/xrpl/protocol_autogen/(transactions|ledger_entries)/
- repo: https://github.com/pre-commit/mirrors-clang-format
rev: dd18dad857d6133e90bbe478f4f2f22ec0030269 # frozen: v22.1.5
rev: cd481d7b0bfb5c7b3090c21846317f9a8262e891 # frozen: v22.1.0
hooks:
- id: clang-format
args: [--style=file]
"types_or": [c++, c, proto]
exclude: ^include/xrpl/protocol_autogen/(transactions|ledger_entries)/
- repo: https://github.com/BlankSpruce/gersemi-pre-commit
rev: faadd6a9d852369ca94f4d15b2404c967ba8cb01 # frozen: 0.27.6
- repo: https://github.com/BlankSpruce/gersemi
rev: 0.26.0
hooks:
- id: gersemi
- repo: https://github.com/rbubley/mirrors-prettier
rev: 515f543f5718ebfd6ce22e16708bb32c68ff96e1 # frozen: v3.8.3
rev: c2bc67fe8f8f549cc489e00ba8b45aa18ee713b1 # frozen: v3.8.1
hooks:
- id: prettier
args: [--end-of-line=auto]
- repo: https://github.com/psf/black-pre-commit-mirror
rev: 4160603246a6b365d4a2af661c6d71b0a0f50478 # frozen: 26.5.1
rev: ea488cebbfd88a5f50b8bd95d5c829d0bb76feb8 # frozen: 26.1.0
hooks:
- id: black
- repo: https://github.com/scop/pre-commit-shfmt
rev: 05c1426671b9237fb5e1444dd63aa5731bec0dfb # frozen: v3.13.1-1
- repo: https://github.com/openstack/bashate
rev: 5798d24d571676fc407e81df574c1ef57b520f23 # frozen: 2.1.1
hooks:
- id: shfmt
args: [--write, --indent=4, --case-indent=true]
- repo: local
hooks:
- id: format-inline-bash-workflows
name: "format `run:` blocks in workflows/actions"
entry: ./.github/scripts/format-inline-bash.py
language: python
files: ^\.github/(workflows|actions)/.*\.ya?ml$
- id: format-inline-bash-markdown
name: "format ```bash blocks in markdown"
entry: ./.github/scripts/format-inline-bash.py
language: python
files: \.md$
- id: bashate
args: ["--ignore=E006"]
- repo: https://github.com/streetsidesoftware/cspell-cli
rev: 4643f154907327ee0a2c7038f0296e0dd77d9776 # frozen: v10.0.0
rev: a42085ade523f591dca134379a595e7859986445 # frozen: v9.7.0
hooks:
- id: cspell # Spell check changed files
exclude: |
(?x)^(
.config/cspell.config.yaml|
include/xrpl/protocol_autogen/(transactions|ledger_entries)/.*
)$
exclude: (.config/cspell.config.yaml|^include/xrpl/protocol_autogen/(transactions|ledger_entries)/)
- id: cspell # Spell check the commit message
name: check commit message spelling
args:

View File

@@ -141,7 +141,7 @@ Alternatively, you can pull our recipes from the repository and export them loca
```bash
# Define which recipes to export.
recipes=('abseil' 'ed25519' 'mpt-crypto' 'openssl' 'secp256k1' 'snappy' 'soci' 'wasm-xrplf' 'wasmi')
recipes=('abseil' 'ed25519' 'grpc' 'm4' 'mpt-crypto' 'openssl' 'secp256k1' 'snappy' 'soci' 'wasm-xrplf' 'wasmi')
# Selectively check out the recipes from our CCI fork.
cd external
@@ -151,8 +151,8 @@ git init
git remote add origin git@github.com:XRPLF/conan-center-index.git
git sparse-checkout init
for recipe in "${recipes[@]}"; do
echo "Checking out recipe '${recipe}'..."
git sparse-checkout add recipes/${recipe}
echo "Checking out recipe '${recipe}'..."
git sparse-checkout add recipes/${recipe}
done
git fetch origin master
git checkout master
@@ -180,7 +180,7 @@ the new recipe will be automatically pulled from the official Conan Center.
If you see an error similar to the following after running `conan profile show`:
```text
```bash
ERROR: Invalid setting '17' is not a valid 'settings.compiler.version' value.
Possible values are ['5.0', '5.1', '6.0', '6.1', '7.0', '7.3', '8.0', '8.1',
'9.0', '9.1', '10.0', '11.0', '12.0', '13', '13.0', '13.1', '14', '14.0', '15',
@@ -427,19 +427,16 @@ install ccache --version 4.11.3 --allow-downgrade`.
Single-config generators:
```
cmake --build . --parallel N
cmake --build .
```
Multi-config generators:
```
cmake --build . --config Release --parallel N
cmake --build . --config Debug --parallel N
cmake --build . --config Release
cmake --build . --config Debug
```
Replace the `--parallel` parameter N with the desired number of parallel jobs. A common starting point is half of the number of available CPU
cores.
5. Test xrpld.
Single-config generators:
@@ -533,15 +530,15 @@ stored inside the build directory, as either of:
## Sanitizers
To build dependencies and xrpld with sanitizer instrumentation, set the
`SANITIZERS` environment variable when running `conan install` and use the `sanitizers` profile:
`SANITIZERS` environment variable (only once before running conan and cmake) and use the `sanitizers` profile in conan:
```bash
export SANITIZERS=address,undefinedbehavior
conan install .. --output-folder . --profile:all sanitizers --build missing --settings build_type=Debug
```
You can then build and test as usual, with the generated `xrpld` binary containing the sanitizer instrumentation. When you run it, it will report any sanitizer errors it detects in the console output.
cmake -DCMAKE_TOOLCHAIN_FILE:FILEPATH=build/generators/conan_toolchain.cmake -DCMAKE_BUILD_TYPE=Debug -Dxrpld=ON -Dtests=ON ..
```
See [Sanitizers docs](./docs/build/sanitizers.md) for more details.

View File

@@ -117,18 +117,6 @@ if(rocksdb)
target_link_libraries(xrpl_libs INTERFACE RocksDB::rocksdb)
endif()
# OpenTelemetry distributed tracing (optional).
# When ON, links against opentelemetry-cpp and defines XRPL_ENABLE_TELEMETRY
# so that SpanGuard factory methods produce real OTel spans.
# When OFF (default), all tracing code compiles to no-ops with zero overhead.
# Enable via: conan install -o telemetry=True, or cmake -Dtelemetry=ON.
option(telemetry "Enable OpenTelemetry tracing" ON)
if(telemetry)
find_package(opentelemetry-cpp CONFIG REQUIRED)
add_compile_definitions(XRPL_ENABLE_TELEMETRY)
message(STATUS "OpenTelemetry tracing enabled")
endif()
# Work around changes to Conan recipe for now.
if(TARGET nudb::core)
set(nudb nudb::core)
@@ -146,7 +134,6 @@ endif()
include(XrplCore)
include(XrplProtocolAutogen)
include(XrplInstall)
include(XrplPackaging)
include(XrplValidatorKeys)
if(tests)

View File

@@ -1,567 +0,0 @@
# Distributed Tracing Fundamentals
> **Parent Document**: [OpenTelemetryPlan.md](./OpenTelemetryPlan.md)
> **Next**: [Architecture Analysis](./01-architecture-analysis.md)
---
## What is Distributed Tracing?
Distributed tracing is a method for tracking data objects as they flow through distributed systems. In a network like XRP Ledger, a single transaction touches multiple independent nodes—each with no shared memory or logging. Distributed tracing connects these dots.
**Without tracing:** You see isolated logs on each node with no way to correlate them.
**With tracing:** You see the complete journey of a transaction or an event across all nodes it touched.
---
## Actors and Actions at a Glance
### Actors
| Who (Plain English) | Technical Term |
| ---------------------------------------------- | --------------- |
| A single unit of work being tracked | Span |
| The complete journey of a request | Trace |
| Data that links spans across services | Trace Context |
| Code that creates spans and propagates context | Instrumentation |
| Service that receives and processes traces | Collector |
| Storage and visualization system | Backend (Tempo) |
| Decision logic for which traces to keep | Sampler |
### Actions
| What Happens (Plain English) | Technical Term |
| --------------------------------------- | ----------------------- |
| Start tracking a new operation | Create a Span |
| Connect a child operation to its parent | Set `parent_span_id` |
| Group all related operations together | Share a `trace_id` |
| Pass tracking data between services | Context Propagation |
| Decide whether to record a trace | Sampling (Head or Tail) |
| Send completed traces to storage | Export (OTLP) |
---
## Core Concepts
### 1. Trace
A **trace** represents the entire journey of a request through the system. It has a unique `trace_id` that stays constant across all nodes.
```
Trace ID: abc123
├── Node A: received transaction
├── Node B: relayed transaction
├── Node C: included in consensus
└── Node D: applied to ledger
```
### 2. Span
A **span** represents a single unit of work within a trace. Each span has:
| Attribute | Description | Example |
| ---------------- | -------------------------------- | -------------------------- |
| `trace_id` | Identifies the trace | `event123` |
| `span_id` | Unique identifier | `span456` |
| `parent_span_id` | Parent span (if any) | `p_span123` |
| `name` | Operation name | `rpc.submit` |
| `start_time` | When work began (local time) | `2024-01-15T10:30:00Z` |
| `end_time` | When work completed (local time) | `2024-01-15T10:30:00.050Z` |
| `attributes` | Key-value metadata | `tx.hash=ABC...` |
| `status` | OK, ERROR MSG | `OK` |
### 3. Trace Context
**Trace context** is the data that propagates between services to link spans together. It contains:
- `trace_id` - The trace this span belongs to
- `span_id` - The current span (becomes parent for child spans)
- `trace_flags` - Sampling decisions
---
## How Spans Form a Trace
Spans have parent-child relationships forming a tree structure:
```mermaid
flowchart TB
subgraph trace["Trace: abc123"]
A["tx.submit<br/>span_id: 001<br/>50ms"] --> B["tx.validate<br/>span_id: 002<br/>5ms"]
A --> C["tx.relay<br/>span_id: 003<br/>10ms"]
A --> D["tx.apply<br/>span_id: 004<br/>30ms"]
D --> E["ledger.update<br/>span_id: 005<br/>20ms"]
end
style A fill:#0d47a1,stroke:#082f6a,color:#ffffff
style B fill:#1b5e20,stroke:#0d3d14,color:#ffffff
style C fill:#1b5e20,stroke:#0d3d14,color:#ffffff
style D fill:#1b5e20,stroke:#0d3d14,color:#ffffff
style E fill:#bf360c,stroke:#8c2809,color:#ffffff
```
**Reading the diagram:**
- **tx.submit (blue, root)**: The top-level span representing the entire transaction submission; all other spans are its descendants.
- **tx.validate, tx.relay, tx.apply (green)**: Direct children of tx.submit, representing the three main stages -- validation, relay to peers, and application to the ledger.
- **ledger.update (red)**: A grandchild span nested under tx.apply, representing the actual ledger state mutation triggered by applying the transaction.
- **Arrows (parent to child)**: Each arrow indicates a parent-child span relationship where the parent's completion depends on the child finishing.
The same trace visualized as a **timeline (Gantt chart)**:
```
Time → 0ms 10ms 20ms 30ms 40ms 50ms
├───────────────────────────────────────────┤
tx.submit│▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓│
├─────┤
tx.valid │▓▓▓▓▓│
│ ├──────────┤
tx.relay │ │▓▓▓▓▓▓▓▓▓▓│
│ ├────────────────────────────┤
tx.apply │ │▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓│
│ ├──────────────────┤
ledger │ │▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓│
```
---
## Span Relationships
Spans don't always form simple parent-child trees. Distributed tracing defines several relationship types to capture different causal patterns:
### 1. Parent-Child (ChildOf)
The default relationship. The parent span **depends on** or **contains** the child span. The child runs within the scope of the parent.
```
tx.submit (parent)
├── tx.validate (child) ← parent waits for this
├── tx.relay (child) ← parent waits for this
└── tx.apply (child) ← parent waits for this
```
**When to use:** Synchronous calls, nested operations, any case where the parent's completion depends on the child.
### 2. Follows-From
A causal relationship where the first span **triggers** the second, but does **not wait** for it. The originator fires and moves on.
```
Time →
tx.receive [=======]
↓ triggers (follows-from)
tx.relay [===========] ← runs independently
```
**When to use:** Asynchronous jobs, queued work, fire-and-forget patterns. For example, a node receives a transaction and queues it for relay — the relay span _follows from_ the receive span but the receiver doesn't wait for relaying to complete.
> **OpenTracing** defined `FollowsFrom` as a first-class reference type alongside `ChildOf`.
> **OpenTelemetry** represents this using **Span Links** with descriptive attributes instead (see below).
### 3. Span Links (Cross-Trace and Non-Hierarchical)
Links connect spans that are **causally related but not in a parent-child hierarchy**. Unlike parent-child, links can cross trace boundaries.
```
Trace A Trace B
────── ──────
batch.schedule batch.execute
├─ item.enqueue (span X) ┌──► process.item
├─ item.enqueue (span Y) ───┤ (links to X, Y, Z)
├─ item.enqueue (span Z) └──►
```
**Use cases:**
| Pattern | Description |
| -------------------- | --------------------------------------------------------------------------- |
| **Batch processing** | A batch span links back to all individual spans that contributed to it |
| **Fan-in** | An aggregation span links to the multiple producer spans it merges |
| **Fan-out** | Multiple downstream spans link back to the single span that triggered them |
| **Async handoff** | A deferred job links back to the request that queued it (follows-from) |
| **Cross-trace** | Correlating spans across independent traces (e.g., retries, related events) |
**Link structure:** Each link carries the target span's context plus optional attributes:
```
Link {
trace_id: <target trace>
span_id: <target span>
attributes: { "link.description": "triggered by batch scheduler" }
}
```
### Relationship Summary
```mermaid
flowchart LR
subgraph parent_child["Parent-Child"]
direction TB
P["Parent"] --> C["Child"]
end
subgraph follows_from["Follows-From"]
direction TB
A["Span A"] -.->|triggers| B["Span B"]
end
subgraph links["Span Links"]
direction TB
X["Span X\n(Trace 1)"] -.-|link| Y["Span Y\n(Trace 2)"]
end
parent_child ~~~ follows_from ~~~ links
style P fill:#0d47a1,stroke:#082f6a,color:#ffffff
style C fill:#1b5e20,stroke:#0d3d14,color:#ffffff
style A fill:#0d47a1,stroke:#082f6a,color:#ffffff
style B fill:#bf360c,stroke:#8c2809,color:#ffffff
style X fill:#4a148c,stroke:#38006b,color:#ffffff
style Y fill:#4a148c,stroke:#38006b,color:#ffffff
```
| Relationship | Same Trace? | Dependency? | OTel Mechanism |
| ---------------- | ----------- | -------------------------- | ----------------- |
| **Parent-Child** | Yes | Parent depends on child | `parent_span_id` |
| **Follows-From** | Usually | Causal but no dependency | Link + attributes |
| **Span Link** | Either | Correlation, no dependency | Link + attributes |
---
## Trace ID Generation
A `trace_id` is a 128-bit (16-byte) identifier that groups all spans belonging to one logical operation. How it's generated determines how easily you can find and correlate traces later.
### General Approaches
#### 1. Random (W3C Default)
Generate a random 128-bit ID when a trace starts. Standard approach for most services.
```
trace_id = random_128_bits()
```
| Pros | Cons |
| --------------------------- | --------------------------------------------- |
| Simple, standard | No natural correlation to domain events |
| Guaranteed unique per trace | If propagation is lost, trace is broken |
| Works with all OTel tooling | "Find trace for TX abc" requires index lookup |
#### 2. Deterministic (Derived from Domain Data)
Compute the trace_id from a hash of a natural identifier. Every node independently derives the **same** trace_id for the same event.
```
trace_id = SHA-256(domain_identifier)[0:16] // truncate to 128 bits
```
| Pros | Cons |
| --------------------------------------------------- | ---------------------------------------------------------- |
| Propagation-resilient — same ID computed everywhere | Same event processed twice (retry) shares trace_id |
| Natural search — domain ID maps directly to trace | Non-standard (tooling assumes random) |
| No coordination needed between nodes | 256→128 bit truncation (collision risk negligible at ~2⁶⁴) |
#### 3. Hybrid (Deterministic Prefix + Random Suffix)
First 8 bytes derived from domain data, last 8 bytes random.
```
trace_id = SHA-256(domain_identifier)[0:8] || random_64_bits()
```
| Pros | Cons |
| ------------------------------------------- | ---------------------------------------- |
| Prefix search: "find all traces for TX abc" | Must propagate to maintain full trace_id |
| Unique per processing instance | More complex generation logic |
| Retries get distinct trace_ids | Partial correlation only (prefix match) |
### XRPL Workflow Analysis
XRPL has a unique advantage: its core workflows produce **globally unique 256-bit hashes** that are known on every node. This makes deterministic trace_id generation practical in ways most systems can't achieve.
#### Natural Identifiers by Workflow
| Workflow | Natural Identifier | Size | Known at Start? | Same on All Nodes? |
| ------------------- | --------------------------------- | ---------- | ----------------------------- | -------------------------------- |
| **Transaction** | Transaction hash (`tid_`) | 256-bit | Yes — computed before signing | Yes — hash of canonical tx data |
| **Consensus round** | Previous ledger hash + ledger seq | 256+32 bit | Yes — known when round opens | Yes — all validators agree |
| **Validation** | Ledger hash being validated | 256-bit | Yes — from consensus result | Yes — same closed ledger |
| **Ledger catch-up** | Target ledger hash | 256-bit | Yes — we know what to fetch | Yes — identifies ledger globally |
#### Where These Identifiers Live in Code
```
Transaction: STTx::getTransactionID() → uint256 tid_
TMTransaction::rawTransaction → recompute hash from bytes
Consensus: ConsensusProposal::prevLedger_ → uint256 (previous ledger hash)
ConsensusProposal::position_ → uint256 (TxSet hash)
LedgerHeader::seq → uint32_t (ledger sequence)
Validation: STValidation::getLedgerHash() → uint256
STValidation::getNodeID() → NodeID (160-bit)
Ledger fetch: InboundLedger constructor → uint256 hash, uint32_t seq
TMGetLedger::ledgerHash → bytes (uint256)
```
### Recommended Strategy: Workflow-Scoped Deterministic
Each workflow type derives its trace_id from its natural domain identifier:
```
Transaction trace: trace_id = SHA-256("tx" || tx_hash)[0:16]
Consensus trace: trace_id = SHA-256("cons" || prev_ledger_hash || ledger_seq)[0:16]
Ledger catch-up: trace_id = SHA-256("fetch" || target_ledger_hash)[0:16]
```
The string prefix (`"tx"`, `"cons"`, `"fetch"`) prevents collisions between workflows that might share underlying hashes.
**Why this works for XRPL:**
1. **Propagation-resilient** — Even if a P2P message drops trace context, every node independently computes the same trace_id from the same tx_hash or ledger_hash. Spans still correlate.
2. **Zero-cost search** — "Show me the trace for transaction ABC" becomes a direct lookup: compute `SHA-256("tx" || ABC)[0:16]` and query. No secondary index needed.
3. **Cross-workflow linking via Span Links** — A consensus trace links to individual transaction traces. A validation span links to the consensus trace. This connects the full picture without forcing everything into one giant trace.
### Cross-Workflow Correlation
Each workflow gets its own trace. Span Links tie them together:
```mermaid
flowchart TB
subgraph tx_trace["Transaction Trace"]
direction LR
Tn["trace_id = f(tx_hash)"]:::note --> T1["tx.receive"] --> T2["tx.validate"] --> T3["tx.relay"]
end
subgraph cons_trace["Consensus Trace"]
direction LR
Cn["trace_id = f(prev_ledger, seq)"]:::note --> C1["cons.open"] --> C2["cons.propose"] --> C3["cons.accept"]
end
subgraph val_trace["Validation"]
direction LR
Vn["spans within consensus trace"]:::note --> V1["val.create"] --> V2["val.broadcast"]
end
subgraph fetch_trace["Catch-Up Trace"]
direction LR
Fn["trace_id = f(ledger_hash)"]:::note --> F1["fetch.request"] --> F2["fetch.receive"] --> F3["fetch.apply"]
end
C1 -.-|"span link\n(tx traces)"| T3
C3 --> V1
F1 -.-|"span link\n(target ledger)"| C3
classDef note fill:none,stroke:#888,stroke-dasharray:5 5,color:#333,font-style:italic
style T1 fill:#0d47a1,stroke:#082f6a,color:#ffffff
style T2 fill:#0d47a1,stroke:#082f6a,color:#ffffff
style T3 fill:#0d47a1,stroke:#082f6a,color:#ffffff
style C1 fill:#1b5e20,stroke:#0d3d14,color:#ffffff
style C2 fill:#1b5e20,stroke:#0d3d14,color:#ffffff
style C3 fill:#1b5e20,stroke:#0d3d14,color:#ffffff
style V1 fill:#bf360c,stroke:#8c2809,color:#ffffff
style V2 fill:#bf360c,stroke:#8c2809,color:#ffffff
style F1 fill:#4a148c,stroke:#38006b,color:#ffffff
style F2 fill:#4a148c,stroke:#38006b,color:#ffffff
style F3 fill:#4a148c,stroke:#38006b,color:#ffffff
```
**Reading the diagram:**
- **Transaction Trace (blue)**: An independent trace whose `trace_id` is deterministically derived from the transaction hash. Contains receive, validate, and relay spans.
- **Consensus Trace (green)**: An independent trace whose `trace_id` is derived from the previous ledger hash and sequence number. Covers the open, propose, and accept phases.
- **Validation (red)**: Validation spans live within the consensus trace (not a separate trace). They are created after the accept phase completes.
- **Catch-Up Trace (purple)**: An independent trace for ledger acquisition, derived from the target ledger hash. Used when a node is behind and fetching missing ledgers.
- **Dotted arrows (span links)**: Cross-trace correlations. Consensus links to transaction traces it included; catch-up links to the consensus trace that produced the target ledger.
- **Solid arrow (C3 to V1)**: A parent-child relationship -- validation spans are direct children of the consensus accept span within the same trace.
**How a query flows:**
```
"Why was TX abc slow?"
1. Compute trace_id = SHA-256("tx" || abc)[0:16]
2. Find transaction trace → see it was included in consensus round N
3. Follow span link → consensus trace for round N
4. See which phase was slow (propose? accept?)
5. If a node was catching up, follow link → catch-up trace
```
### Trade-offs to Consider
| Concern | Mitigation |
| ----------------------------- | ----------------------------------------------------------------------------------------------------------------------------- |
| **Retries get same trace_id** | Add `attempt` attribute to root span; spans have unique span_ids and timestamps |
| **256→128 bit truncation** | Birthday-bound collision at ~2⁶⁴ operations — negligible for XRPL's throughput |
| **Non-standard generation** | OTel spec allows any 16-byte non-zero value; tooling works on the hex string |
| **Hash computation cost** | SHA-256 is ~0.3μs per call; XRPL already computes these hashes for other purposes |
| **Late-binding identifiers** | Ledger hash isn't known until after consensus — validation spans use ledger_seq as fallback, then link to the consensus trace |
---
## Distributed Traces Across Nodes
In distributed systems like xrpld, traces span **multiple independent nodes**. The trace context must be propagated in network messages:
```mermaid
sequenceDiagram
participant Client
participant NodeA as Node A
participant NodeB as Node B
participant NodeC as Node C
Client->>NodeA: Submit TX<br/>(no trace context)
Note over NodeA: Creates new trace<br/>trace_id: abc123<br/>span: tx.receive
NodeA->>NodeB: Relay TX<br/>(trace_id: abc123, parent: 001)
Note over NodeB: Creates child span<br/>span: tx.relay<br/>parent_span_id: 001
NodeA->>NodeC: Relay TX<br/>(trace_id: abc123, parent: 001)
Note over NodeC: Creates child span<br/>span: tx.relay<br/>parent_span_id: 001
Note over NodeA,NodeC: All spans share trace_id: abc123<br/>enabling correlation across nodes
```
**Reading the diagram:**
- **Client**: The external entity that submits a transaction. It does not carry trace context -- the trace originates at the first node.
- **Node A**: The entry point that creates a new trace (trace_id: abc123) and the root span `tx.receive`. It relays the transaction to peers with trace context attached.
- **Node B and Node C**: Peer nodes that receive the relayed transaction along with the propagated trace context. Each creates a child span under Node A's span, preserving the same `trace_id`.
- **Arrows with trace context**: The relay messages carry `trace_id` and `parent_span_id`, allowing each downstream node to link its spans back to the originating span on Node A.
---
## Context Propagation
For traces to work across nodes, **trace context must be propagated** in messages.
### What's in the Context (~26 bytes)
| Field | Size | Description |
| ------------- | -------- | ------------------------------------------------------- |
| `trace_id` | 16 bytes | Identifies the entire trace (constant across all nodes) |
| `span_id` | 8 bytes | The sender's current span (becomes parent on receiver) |
| `trace_flags` | 1 byte | Sampling decision (bit 0 = sampled; bits 1-7 reserved) |
| `trace_state` | variable | Optional vendor-specific data (typically omitted) |
### How span_id Changes at Each Hop
Only **one** `span_id` travels in the context - the sender's current span. Each node:
1. Extracts the received `span_id` and uses it as the `parent_span_id`
2. Creates a **new** `span_id` for its own span
3. Sends its own `span_id` as the parent when forwarding
```
Node A Node B Node C
────── ────── ──────
Span AAA Span BBB Span CCC
│ │ │
▼ ▼ ▼
Context out: Context out: Context out:
├─ trace_id: abc123 ├─ trace_id: abc123 ├─ trace_id: abc123
├─ span_id: AAA ──────────► ├─ span_id: BBB ──────────► ├─ span_id: CCC ──────►
└─ flags: 01 └─ flags: 01 └─ flags: 01
│ │
parent = AAA parent = BBB
```
The `trace_id` stays constant, but `span_id` **changes at every hop** to maintain the parent-child chain.
### Propagation Formats
There are two patterns:
### HTTP/RPC Headers (W3C Trace Context)
```
traceparent: 00-4bf92f3577b34da6a3ce929d0e0e4736-00f067aa0ba902b7-01
│ │ │ │
│ │ │ └── Flags (sampled)
│ │ └── Parent span ID (16 hex)
│ └── Trace ID (32 hex)
└── Version
```
### Protocol Buffers (xrpld P2P messages)
```protobuf
message TMTransaction {
bytes rawTransaction = 1;
// ... existing fields ...
// Trace context extension
bytes trace_parent = 100; // W3C traceparent
bytes trace_state = 101; // W3C tracestate
}
```
---
## Sampling
Not every trace needs to be recorded. **Sampling** reduces overhead:
### Head Sampling (at trace start)
```
Request arrives → Random 10% chance → Record or skip entire trace
```
- ✅ Low overhead
- ❌ May miss interesting traces
### Tail Sampling (after trace completes)
```
Trace completes → Collector evaluates:
- Error? → KEEP
- Slow? → KEEP
- Normal? → Sample 10%
```
- ✅ Never loses important traces
- ❌ Higher memory usage at collector
---
## Key Benefits for xrpld
| Challenge | How Tracing Helps |
| ---------------------------------- | ---------------------------------------- |
| "Where is my transaction?" | Follow trace across all nodes it touched |
| "Why was consensus slow?" | See timing breakdown of each phase |
| "Which node is the bottleneck?" | Compare span durations across nodes |
| "What happened during the outage?" | Correlate errors across the network |
---
## Glossary
| Term | Definition |
| -------------------- | ------------------------------------------------------------------- |
| **Trace** | Complete journey of a request, identified by `trace_id` |
| **Span** | Single operation within a trace |
| **Parent-Child** | Span relationship where the parent depends on the child |
| **Follows-From** | Causal relationship where originator doesn't wait for the result |
| **Span Link** | Non-hierarchical connection between spans, possibly across traces |
| **Deterministic ID** | Trace ID derived from domain data (e.g., tx_hash) instead of random |
| **Context** | Data propagated between services (`trace_id`, `span_id`, flags) |
| **Instrumentation** | Code that creates spans and propagates context |
| **Collector** | Service that receives, processes, and exports traces |
| **Backend** | Storage/visualization system (Tempo) |
| **Head Sampling** | Sampling decision at trace start |
| **Tail Sampling** | Sampling decision after trace completes |
---
_Next: [Architecture Analysis](./01-architecture-analysis.md)_ | _Back to: [Overview](./OpenTelemetryPlan.md)_

View File

@@ -1,467 +0,0 @@
# Architecture Analysis
> **Parent Document**: [OpenTelemetryPlan.md](./OpenTelemetryPlan.md)
> **Related**: [Design Decisions](./02-design-decisions.md) | [Implementation Strategy](./03-implementation-strategy.md)
---
## 1.1 Current xrpld Architecture Overview
> **WS** = WebSocket | **UNL** = Unique Node List | **TxQ** = Transaction Queue | **StatsD** = Statistics Daemon
The xrpld node software consists of several interconnected components that need instrumentation for distributed tracing:
```mermaid
flowchart TB
subgraph xrpld["xrpld Node"]
subgraph services["Core Services"]
RPC["RPC Server<br/>(HTTP/WS/gRPC)"]
Overlay["Overlay<br/>(P2P Network)"]
Consensus["Consensus<br/>(RCLConsensus)"]
ValidatorList["ValidatorList<br/>(UNL Mgmt)"]
end
JobQueue["JobQueue<br/>(Thread Pool)"]
subgraph processing["Processing Layer"]
NetworkOPs["NetworkOPs<br/>(Tx Processing)"]
LedgerMaster["LedgerMaster<br/>(Ledger Mgmt)"]
NodeStore["NodeStore<br/>(Database)"]
InboundLedgers["InboundLedgers<br/>(Ledger Sync)"]
end
subgraph appservices["Application Services"]
PathFind["PathFinding<br/>(Payment Paths)"]
TxQ["TxQ<br/>(Fee Escalation)"]
LoadMgr["LoadManager<br/>(Fee/Load)"]
end
subgraph observability["Existing Observability"]
PerfLog["PerfLog<br/>(JSON)"]
Insight["Insight<br/>(StatsD)"]
Logging["Logging<br/>(Journal)"]
end
services --> JobQueue
JobQueue --> processing
JobQueue --> appservices
end
style xrpld fill:#424242,stroke:#212121,color:#ffffff
style services fill:#1565c0,stroke:#0d47a1,color:#ffffff
style processing fill:#2e7d32,stroke:#1b5e20,color:#ffffff
style appservices fill:#6a1b9a,stroke:#4a148c,color:#ffffff
style observability fill:#e65100,stroke:#bf360c,color:#ffffff
```
**Reading the diagram:**
- **Core Services (blue)**: The entry points into xrpld -- RPC Server handles client requests, Overlay manages peer-to-peer networking, Consensus drives agreement, and ValidatorList manages trusted validators.
- **JobQueue (center)**: The asynchronous thread pool that decouples Core Services from the Processing and Application layers. All work flows through it.
- **Processing Layer (green)**: Core business logic -- NetworkOPs processes transactions, LedgerMaster manages ledger state, NodeStore handles persistence, and InboundLedgers synchronizes missing data.
- **Application Services (purple)**: Higher-level features -- PathFinding computes payment routes, TxQ manages fee-based queuing, and LoadManager tracks server load.
- **Existing Observability (orange)**: The current monitoring stack (PerfLog, Insight, Journal logging) that OpenTelemetry will complement, not replace.
- **Arrows (Services to JobQueue to layers)**: Work originates at Core Services, is enqueued onto the JobQueue, and dispatched to Processing or Application layers for execution.
---
## 1.1.1 Actors and Actions
### Actors
| Who (Plain English) | Technical Term |
| ----------------------------------------- | -------------------------- |
| Network node running XRPL software | xrpld node |
| External client submitting requests | RPC Client |
| Network neighbor sharing data | Peer (PeerImp) |
| Request handler for client queries | RPC Server (ServerHandler) |
| Command executor for specific RPC methods | RPCHandler |
| Agreement process between nodes | Consensus (RCLConsensus) |
| Transaction processing coordinator | NetworkOPs |
| Background task scheduler | JobQueue |
| Ledger state manager | LedgerMaster |
| Payment route calculator | PathFinding (Pathfinder) |
| Transaction waiting room | TxQ (Transaction Queue) |
| Fee adjustment system | LoadManager |
| Trusted validator list manager | ValidatorList |
| Protocol upgrade tracker | AmendmentTable |
| Ledger state hash tree | SHAMap |
| Persistent key-value storage | NodeStore |
### Actions
| What Happens (Plain English) | Technical Term |
| ---------------------------------------------- | ---------------------- |
| Client sends a request to a node | `rpc.request` |
| Node executes a specific RPC command | `rpc.command.*` |
| Node receives a transaction from a peer | `tx.receive` |
| Node checks if a transaction is valid | `tx.validate` |
| Node forwards a transaction to neighbors | `tx.relay` |
| Nodes agree on which transactions to include | `consensus.round` |
| Consensus progresses through phases | `consensus.phase.*` |
| Node builds a new confirmed ledger | `ledger.build` |
| Node fetches missing ledger data from peers | `ledger.acquire` |
| Node computes payment routes | `pathfind.compute` |
| Node queues a transaction for later processing | `txq.enqueue` |
| Node increases fees due to high load | `fee.escalate` |
| Node fetches the latest trusted validator list | `validator.list.fetch` |
| Node votes on a protocol amendment | `amendment.vote` |
| Node synchronizes state tree data | `shamap.sync` |
---
## 1.2 Key Components for Instrumentation
> **TxQ** = Transaction Queue | **UNL** = Unique Node List
| Component | Location | Purpose | Trace Value |
| ------------------ | ------------------------------------------ | ------------------------ | -------------------------------- |
| **Overlay** | `src/xrpld/overlay/` | P2P communication | Message propagation timing |
| **PeerImp** | `src/xrpld/overlay/detail/PeerImp.cpp` | Individual peer handling | Per-peer latency |
| **RCLConsensus** | `src/xrpld/app/consensus/RCLConsensus.cpp` | Consensus algorithm | Round timing, phase analysis |
| **NetworkOPs** | `src/xrpld/app/misc/NetworkOPs.cpp` | Transaction processing | Tx lifecycle tracking |
| **ServerHandler** | `src/xrpld/rpc/detail/ServerHandler.cpp` | RPC entry point | Request latency |
| **RPCHandler** | `src/xrpld/rpc/detail/RPCHandler.cpp` | Command execution | Per-command timing |
| **JobQueue** | `src/xrpl/core/JobQueue.h` | Async task execution | Queue wait times |
| **PathFinding** | `src/xrpld/app/paths/` | Payment path computation | Path latency, cache hits |
| **TxQ** | `src/xrpld/app/misc/TxQ.cpp` | Transaction queue/fees | Queue depth, eviction rates |
| **LoadManager** | `src/xrpld/app/main/LoadManager.cpp` | Fee escalation/load | Fee levels, load factors |
| **InboundLedgers** | `src/xrpld/app/ledger/InboundLedgers.cpp` | Ledger acquisition | Sync time, peer reliability |
| **ValidatorList** | `src/xrpld/app/misc/ValidatorList.cpp` | UNL management | List freshness, fetch failures |
| **AmendmentTable** | `src/xrpld/app/misc/AmendmentTable.cpp` | Protocol amendments | Voting status, activation events |
| **SHAMap** | `src/xrpld/shamap/` | State hash tree | Sync speed, missing nodes |
---
## 1.3 Transaction Flow Diagram
Transaction flow spans multiple nodes in the network. Each node creates linked spans to form a distributed trace:
```mermaid
sequenceDiagram
participant Client
participant PeerA as Peer A (Receive)
participant PeerB as Peer B (Relay)
participant PeerC as Peer C (Validate)
Client->>PeerA: 1. Submit TX
rect rgb(230, 245, 255)
Note over PeerA: tx.receive SPAN START
PeerA->>PeerA: HashRouter Deduplication
PeerA->>PeerA: tx.validate (child span)
end
PeerA->>PeerB: 2. Relay TX (with trace ctx)
rect rgb(230, 245, 255)
Note over PeerB: tx.receive (linked span)
end
PeerB->>PeerC: 3. Relay TX
rect rgb(230, 245, 255)
Note over PeerC: tx.receive (linked span)
PeerC->>PeerC: tx.process
end
Note over Client,PeerC: DISTRIBUTED TRACE (same trace_id: abc123)
```
**Reading the diagram:**
- **Client**: The external entity that submits a transaction to Peer A. It has no trace context -- the trace starts at the first node.
- **Peer A (Receive)**: The entry node that creates the root span `tx.receive`, runs HashRouter deduplication to avoid processing duplicates, and creates a child `tx.validate` span.
- **Peer A to Peer B arrow**: The relay message carries trace context (trace_id + parent span_id), enabling Peer B to create a linked span under the same trace.
- **Peer B (Relay)**: Receives the transaction and trace context, creates a `tx.receive` span linked to Peer A's trace, then relays onward.
- **Peer C (Validate)**: Final hop in this example. Creates a linked `tx.receive` span and runs `tx.process` to fully process the transaction.
- **Blue rectangles**: Highlight the span boundaries on each node, showing where instrumentation creates and closes spans.
### Trace Structure
```
trace_id: abc123
├── span: tx.receive (Peer A)
│ ├── span: tx.validate
│ └── span: tx.relay
├── span: tx.receive (Peer B) [parent: Peer A]
│ └── span: tx.relay
└── span: tx.receive (Peer C) [parent: Peer B]
└── span: tx.process
```
---
## 1.4 Consensus Round Flow
Consensus rounds are multi-phase operations that benefit significantly from tracing:
```mermaid
flowchart TB
subgraph round["consensus.round (root span)"]
attrs["Attributes:<br/>xrpl.consensus.ledger.seq = 12345678<br/>xrpl.consensus.mode = proposing<br/>xrpl.consensus.proposers = 35"]
subgraph open["consensus.phase.open"]
open_desc["Duration: ~3s<br/>Waiting for transactions"]
end
subgraph establish["consensus.phase.establish"]
est_attrs["proposals_received = 28<br/>disputes_resolved = 3"]
est_children["├── consensus.proposal.receive (×28)<br/>├── consensus.proposal.send (×1)<br/>└── consensus.dispute.resolve (×3)"]
end
subgraph accept["consensus.phase.accept"]
acc_attrs["transactions_applied = 150<br/>ledger.hash = DEF456..."]
acc_children["├── ledger.build<br/>└── ledger.validate"]
end
attrs --> open
open --> establish
establish --> accept
end
style round fill:#f57f17,stroke:#e65100,color:#ffffff
style open fill:#1565c0,stroke:#0d47a1,color:#ffffff
style establish fill:#2e7d32,stroke:#1b5e20,color:#ffffff
style accept fill:#c2185b,stroke:#880e4f,color:#ffffff
```
**Reading the diagram:**
- **consensus.round (orange, root span)**: The top-level span encompassing the entire consensus round, with attributes like ledger sequence, mode, and proposer count.
- **consensus.phase.open (blue)**: The first phase where the node waits (~3s) to collect incoming transactions before proposing.
- **consensus.phase.establish (green)**: The negotiation phase where validators exchange proposals, resolve disputes, and converge on a transaction set. Child spans track each proposal received/sent and each dispute resolved.
- **consensus.phase.accept (pink)**: The final phase where the agreed transaction set is applied, a new ledger is built, and the ledger is validated. Child spans cover `ledger.build` and `ledger.validate`.
- **Arrows (open to establish to accept)**: The sequential flow through the three consensus phases. Each phase must complete before the next begins.
---
## 1.5 RPC Request Flow
> **WS** = WebSocket
RPC requests support W3C Trace Context headers for distributed tracing across services:
```mermaid
flowchart TB
subgraph request["rpc.request (root span)"]
http["HTTP Request — POST /<br/>traceparent:<br/>00-abc123...-def456...-01"]
attrs["Attributes:<br/>http.method = POST<br/>net.peer.ip = 192.168.1.100<br/>command = submit"]
subgraph enqueue["jobqueue.enqueue"]
job_attr["xrpl.job.type = jtCLIENT_RPC"]
end
subgraph command["rpc.command.submit"]
cmd_attrs["version = 2<br/>rpc_role = user"]
cmd_children["├── tx.deserialize<br/>├── tx.validate_local<br/>└── tx.submit_to_network"]
end
response["Response: 200 OK<br/>Duration: 45ms"]
http --> attrs
attrs --> enqueue
enqueue --> command
command --> response
end
style request fill:#2e7d32,stroke:#1b5e20,color:#ffffff
style enqueue fill:#1565c0,stroke:#0d47a1,color:#ffffff
style command fill:#e65100,stroke:#bf360c,color:#ffffff
```
**Reading the diagram:**
- **rpc.request (green, root span)**: The outermost span representing the full RPC request lifecycle, from HTTP receipt to response. Carries the W3C `traceparent` header for distributed tracing.
- **HTTP Request node**: Shows the incoming POST request with its `traceparent` header and extracted attributes (method, peer IP, command name).
- **jobqueue.enqueue (blue)**: The span covering the asynchronous handoff from the RPC thread to the JobQueue worker thread. The trace context is preserved across this async boundary.
- **rpc.command.submit (orange)**: The span for the actual command execution, with child spans for deserialization, local validation, and network submission.
- **Response node**: The final output with HTTP status and total duration, marking the end of the root span.
- **Arrows (top to bottom)**: The sequential processing pipeline -- receive request, extract attributes, enqueue job, execute command, return response.
---
## 1.6 Key Trace Points
> **TxQ** = Transaction Queue
The following table identifies priority instrumentation points across the codebase:
| Category | Span Name | File | Method | Priority |
| --------------- | ---------------------- | ---------------------- | ----------------------- | -------- |
| **Transaction** | `tx.receive` | `PeerImp.cpp` | `handleTransaction()` | High |
| **Transaction** | `tx.validate` | `NetworkOPs.cpp` | `processTransaction()` | High |
| **Transaction** | `tx.process` | `NetworkOPs.cpp` | `doTransactionSync()` | High |
| **Transaction** | `tx.relay` | `OverlayImpl.cpp` | `relay()` | Medium |
| **Consensus** | `consensus.round` | `RCLConsensus.cpp` | `startRound()` | High |
| **Consensus** | `consensus.phase.*` | `Consensus.h` | `timerEntry()` | High |
| **Consensus** | `consensus.proposal.*` | `RCLConsensus.cpp` | `peerProposal()` | Medium |
| **RPC** | `rpc.request` | `ServerHandler.cpp` | `onRequest()` | High |
| **RPC** | `rpc.command.*` | `RPCHandler.cpp` | `doCommand()` | High |
| **Peer** | `peer.connect` | `OverlayImpl.cpp` | `onHandoff()` | Low |
| **Peer** | `peer.message.*` | `PeerImp.cpp` | `onMessage()` | Low |
| **Ledger** | `ledger.acquire` | `InboundLedgers.cpp` | `acquire()` | Medium |
| **Ledger** | `ledger.build` | `RCLConsensus.cpp` | `buildLCL()` | High |
| **PathFinding** | `pathfind.request` | `PathRequest.cpp` | `doUpdate()` | High |
| **PathFinding** | `pathfind.compute` | `Pathfinder.cpp` | `findPaths()` | High |
| **TxQ** | `txq.enqueue` | `TxQ.cpp` | `apply()` | High |
| **TxQ** | `txq.apply` | `TxQ.cpp` | `processClosedLedger()` | High |
| **Fee** | `fee.escalate` | `LoadManager.cpp` | `raiseLocalFee()` | Medium |
| **Ledger** | `ledger.replay` | `LedgerReplayer.h` | `replay()` | Medium |
| **Ledger** | `ledger.delta` | `LedgerDeltaAcquire.h` | `processData()` | Medium |
| **Validator** | `validator.list.fetch` | `ValidatorList.cpp` | `verify()` | Medium |
| **Validator** | `validator.manifest` | `Manifest.cpp` | `applyManifest()` | Low |
| **Amendment** | `amendment.vote` | `AmendmentTable.cpp` | `doVoting()` | Low |
| **SHAMap** | `shamap.sync` | `SHAMap.cpp` | `fetchRoot()` | Medium |
---
## 1.7 Instrumentation Priority
> **TxQ** = Transaction Queue
```mermaid
quadrantChart
title Instrumentation Priority Matrix
x-axis Low Complexity --> High Complexity
y-axis Low Value --> High Value
quadrant-1 Implement First
quadrant-2 Plan Carefully
quadrant-3 Quick Wins
quadrant-4 Consider Later
RPC Tracing: [0.2, 0.92]
Transaction Tracing: [0.55, 0.88]
Consensus Tracing: [0.78, 0.82]
PathFinding: [0.38, 0.75]
TxQ and Fees: [0.25, 0.65]
Ledger Sync: [0.62, 0.58]
Peer Message Tracing: [0.35, 0.25]
JobQueue Tracing: [0.2, 0.48]
Validator Mgmt: [0.48, 0.42]
Amendment Tracking: [0.15, 0.32]
SHAMap Operations: [0.72, 0.45]
```
---
## 1.8 Observable Outcomes
> **TxQ** = Transaction Queue | **UNL** = Unique Node List
After implementing OpenTelemetry, operators and developers will gain visibility into the following:
### 1.8.1 What You Will See: Traces
| Trace Type | Description | Example Query in Grafana/Tempo |
| -------------------------- | ------------------------------------------------------------------------------------------- | ---------------------------------------------------- |
| **Transaction Lifecycle** | Full journey from RPC submission through validation, relay, consensus, and ledger inclusion | `{service.name="xrpld" && xrpl.tx.hash="ABC123..."}` |
| **Cross-Node Propagation** | Transaction path across multiple xrpld nodes with timing | `{xrpl.tx.relay_count > 0}` |
| **Consensus Rounds** | Complete round with all phases (open, establish, accept) | `{span.name=~"consensus.round.*"}` |
| **RPC Request Processing** | Individual command execution with timing breakdown | `{command="account_info"}` |
| **Ledger Acquisition** | Peer-to-peer ledger data requests and responses | `{span.name="ledger.acquire"}` |
| **PathFinding Latency** | Path computation time and cache effectiveness for payment RPCs | `{span.name="pathfind.compute"}` |
| **TxQ Behavior** | Queue depth, eviction patterns, fee escalation during congestion | `{span.name=~"txq.*"}` |
| **Ledger Sync** | Full acquisition timeline including delta and transaction fetches | `{span.name=~"ledger.acquire.*"}` |
| **Validator Health** | UNL fetch success, manifest updates, stale list detection | `{span.name=~"validator.*"}` |
### 1.8.2 What You Will See: Metrics (Derived from Traces)
| Metric | Description | Dashboard Panel |
| ----------------------------- | --------------------------------------- | --------------------------- |
| **RPC Latency (p50/p95/p99)** | Response time distribution per command | Heatmap by command |
| **Transaction Throughput** | Transactions processed per second | Time series graph |
| **Consensus Round Duration** | Time to complete consensus phases | Histogram |
| **Cross-Node Latency** | Time for transaction to reach N nodes | Line chart with percentiles |
| **Error Rate** | Failed transactions/RPC calls by type | Stacked bar chart |
| **PathFinding Latency** | Path computation time per currency pair | Heatmap by currency |
| **TxQ Depth** | Queued transactions over time | Time series with thresholds |
| **Fee Escalation Level** | Current fee multiplier | Gauge with alert thresholds |
| **Ledger Sync Duration** | Time to acquire missing ledgers | Histogram |
### 1.8.3 Concrete Dashboard Examples
**Transaction Trace View (Tempo):**
```
┌────────────────────────────────────────────────────────────────────────────────┐
│ Trace: abc123... (Transaction Submission) Duration: 847ms │
├────────────────────────────────────────────────────────────────────────────────┤
│ ├── rpc.request [ServerHandler] ████░░░░░░ 45ms │
│ │ └── rpc.command.submit [RPCHandler] ████░░░░░░ 42ms │
│ │ └── tx.receive [NetworkOPs] ███░░░░░░░ 35ms │
│ │ ├── tx.validate [TxQ] █░░░░░░░░░ 8ms │
│ │ └── tx.relay [Overlay] ██░░░░░░░░ 15ms │
│ │ ├── tx.receive [Node-B] █████░░░░░ 52ms │
│ │ │ └── tx.relay [Node-B] ██░░░░░░░░ 18ms │
│ │ └── tx.receive [Node-C] ██████░░░░ 65ms │
│ └── consensus.round [RCLConsensus] ████████░░ 720ms │
│ ├── consensus.phase.open ██░░░░░░░░ 180ms │
│ ├── consensus.phase.establish █████░░░░░ 480ms │
│ └── consensus.phase.accept █░░░░░░░░░ 60ms │
└────────────────────────────────────────────────────────────────────────────────┘
```
**RPC Performance Dashboard Panel:**
```
┌─────────────────────────────────────────────────────────────┐
│ RPC Command Latency (Last 1 Hour) │
├─────────────────────────────────────────────────────────────┤
│ Command │ p50 │ p95 │ p99 │ Errors │ Rate │
│──────────────────┼────────┼────────┼────────┼────────┼──────│
│ account_info │ 12ms │ 45ms │ 89ms │ 0.1% │ 150/s│
│ submit │ 35ms │ 120ms │ 250ms │ 2.3% │ 45/s│
│ ledger │ 8ms │ 25ms │ 55ms │ 0.0% │ 80/s│
│ tx │ 15ms │ 50ms │ 100ms │ 0.5% │ 60/s│
│ server_info │ 5ms │ 12ms │ 20ms │ 0.0% │ 200/s│
└─────────────────────────────────────────────────────────────┘
```
**Consensus Health Dashboard Panel:**
```mermaid
---
config:
xyChart:
width: 1200
height: 400
plotReservedSpacePercent: 50
chartOrientation: vertical
themeVariables:
xyChart:
plotColorPalette: "#3498db"
---
xychart-beta
title "Consensus Round Duration (Last 24 Hours)"
x-axis "Time of Day (Hours)" [0, 2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24]
y-axis "Duration (seconds)" 1 --> 5
line [2.1, 2.4, 2.8, 3.2, 3.8, 4.3, 4.5, 5.0, 4.7, 4.0, 3.2, 2.6, 2.0]
```
### 1.8.4 Operator Actionable Insights
| Scenario | What You'll See | Action |
| ------------------------- | ---------------------------------------------------------------------------- | ------------------------------------------------ |
| **Slow RPC** | Span showing which phase is slow (parsing, execution, serialization) | Optimize specific code path |
| **Transaction Stuck** | Trace stops at validation; error attribute shows reason | Fix transaction parameters |
| **Consensus Delay** | Phase.establish taking too long; proposer attribute shows missing validators | Investigate network connectivity |
| **Memory Spike** | Large batch of spans correlating with memory increase | Tune batch_size or sampling |
| **Network Partition** | Traces missing cross-node links for specific peer | Check peer connectivity |
| **Path Computation Slow** | pathfind.compute span shows high latency; cache miss rate in attributes | Warm the RippleLineCache, check order book depth |
| **TxQ Full** | txq.enqueue spans show evictions; fee.escalate spans increasing | Monitor fee levels, alert operators |
| **Ledger Sync Stalled** | ledger.acquire spans timing out; peer reliability attributes show issues | Check peer connectivity, add trusted peers |
| **UNL Stale** | validator.list.fetch spans failing; last_update attribute aging | Verify validator site URLs, check DNS |
### 1.8.5 Developer Debugging Workflow
1. **Find Transaction**: Query by `xrpl.tx.hash` to get full trace
2. **Identify Bottleneck**: Look at span durations to find slowest component
3. **Check Attributes**: Review `xrpl.tx.validity`, `rpc_status` for errors
4. **Correlate Logs**: Use `trace_id` to find related PerfLog entries
5. **Compare Nodes**: Filter by `service.instance.id` to compare behavior across nodes
---
_Next: [Design Decisions](./02-design-decisions.md)_ | _Back to: [Overview](./OpenTelemetryPlan.md)_

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@@ -1,633 +0,0 @@
# Design Decisions
> **Parent Document**: [OpenTelemetryPlan.md](./OpenTelemetryPlan.md)
> **Related**: [Architecture Analysis](./01-architecture-analysis.md) | [Code Samples](./04-code-samples.md)
---
## 2.1 OpenTelemetry Components
> **OTLP** = OpenTelemetry Protocol
### 2.1.1 SDK Selection
**Primary Choice**: OpenTelemetry C++ SDK (`opentelemetry-cpp`)
| Component | Purpose | Required |
| --------------------------------------- | ---------------------- | ------------------------- |
| `opentelemetry-cpp::api` | Tracing API headers | Yes |
| `opentelemetry-cpp::sdk` | SDK implementation | Yes |
| `opentelemetry-cpp::ext` | Extensions (exporters) | Yes |
| `opentelemetry-cpp::otlp_http_exporter` | OTLP/HTTP export | Yes (shipped in Phase 1b) |
| `opentelemetry-cpp::otlp_grpc_exporter` | OTLP/gRPC export | Future (not yet wired up) |
### 2.1.2 Instrumentation Strategy
**Manual Instrumentation** (recommended):
| Approach | Pros | Cons |
| ---------- | --------------------------------------------------------------- | ------------------------------------------------------- |
| **Manual** | Precise control, optimized placement, xrpld-specific attributes | More development effort |
| **Auto** | Less code, automatic coverage | Less control, potential overhead, limited customization |
---
## 2.2 Exporter Configuration
> **OTLP** = OpenTelemetry Protocol
```mermaid
flowchart TB
subgraph nodes["xrpld Nodes"]
node1["xrpld<br/>Node 1"]
node2["xrpld<br/>Node 2"]
node3["xrpld<br/>Node 3"]
end
collector["OpenTelemetry<br/>Collector<br/>(sidecar or standalone)"]
subgraph backends["Observability Backends"]
tempo["Tempo"]
elastic["Elastic<br/>APM"]
end
node1 -->|"OTLP/HTTP<br/>:4318"| collector
node2 -->|"OTLP/HTTP<br/>:4318"| collector
node3 -->|"OTLP/HTTP<br/>:4318"| collector
collector --> tempo
collector --> elastic
style nodes fill:#0d47a1,stroke:#082f6a,color:#ffffff
style backends fill:#1b5e20,stroke:#0d3d14,color:#ffffff
style collector fill:#bf360c,stroke:#8c2809,color:#ffffff
```
**Reading the diagram:**
- **xrpld Nodes (blue)**: The source of telemetry data. Each xrpld node exports spans via OTLP/HTTP on port 4318 (the only exporter shipped in Phase 1b).
- **OpenTelemetry Collector (red)**: The central aggregation point that receives spans from all nodes. Can run as a sidecar (per-node) or standalone (shared). Handles batching, filtering, and routing.
- **Observability Backends (green)**: The storage and visualization destinations. Tempo is the recommended backend for both development and production, and Elastic APM is an alternative. The Collector routes to one or more backends.
- **Arrows (nodes to collector to backends)**: The data pipeline -- spans flow from nodes to the Collector over HTTP, then the Collector fans out to the configured backends.
### 2.2.1 OTLP/HTTP (Shipped in Phase 1b)
```cpp
// Configuration for OTLP over HTTP (the only exporter currently wired up).
namespace otlp = opentelemetry::exporter::otlp;
otlp::OtlpHttpExporterOptions opts;
opts.url = "http://localhost:4318/v1/traces";
opts.content_type = otlp::HttpRequestContentType::kJson; // or kBinary
```
### 2.2.2 OTLP/gRPC (Future Work — Planned Upgrade)
OTLP/gRPC is planned as a future upgrade from the HTTP exporter. The gRPC
transport offers lower per-span overhead and tighter back-pressure semantics
than HTTP/JSON, making it attractive for production deployments once the HTTP
path is validated in earlier phases.
Required to land this upgrade:
1. Add `opentelemetry-cpp::otlp_grpc_exporter` to the Conan recipe (the
dependency already exists but is not linked in Phase 1b builds).
2. Extend `TelemetryConfig.cpp` to parse an `exporter` key (`otlp_http`
default, `otlp_grpc` opt-in) and a gRPC endpoint override.
3. In `Telemetry::start()` branch on the parsed exporter type and construct
either `OtlpHttpExporterFactory::Create(httpOpts)` or
`OtlpGrpcExporterFactory::Create(grpcOpts)` accordingly.
4. Update the runbook and dashboards to document the alternate port and TLS
settings.
Example Phase 1b+ gRPC configuration (when wired up):
```cpp
// Configuration for OTLP over gRPC (future work).
namespace otlp = opentelemetry::exporter::otlp;
otlp::OtlpGrpcExporterOptions opts;
opts.endpoint = "<otel-collector-host>:4317";
opts.use_ssl_credentials = true;
opts.ssl_credentials_cacert_path = "/path/to/ca.crt";
```
Until that work lands, `OtlpGrpcExporterOptions` is **not** used by any code
path in Phase 1b through Phase 5.
---
## 2.3 Span Naming Conventions
> **TxQ** = Transaction Queue | **UNL** = Unique Node List | **WS** = WebSocket
### 2.3.1 Naming Schema
```
<component>.<operation>[.<sub-operation>]
```
**Examples**:
- `tx.receive` - Transaction received from peer
- `consensus.phase.establish` - Consensus establish phase
- `rpc.command.server_info` - server_info RPC command
### 2.3.2 Complete Span Catalog
```yaml
# Transaction Spans
tx:
receive: "Transaction received from network"
validate: "Transaction signature/format validation"
process: "Full transaction processing"
relay: "Transaction relay to peers"
apply: "Apply transaction to ledger"
# Consensus Spans
consensus:
round: "Complete consensus round"
phase:
open: "Open phase - collecting transactions"
establish: "Establish phase - reaching agreement"
accept: "Accept phase - applying consensus"
proposal:
receive: "Receive peer proposal"
send: "Send our proposal"
validation:
receive: "Receive peer validation"
send: "Send our validation"
# RPC Spans
rpc:
request: "HTTP/WebSocket request handling"
command:
"*": "Specific RPC command (dynamic)"
# Peer Spans
peer:
connect: "Peer connection establishment"
disconnect: "Peer disconnection"
message:
send: "Send protocol message"
receive: "Receive protocol message"
# Ledger Spans
ledger:
acquire: "Ledger acquisition from network"
build: "Build new ledger"
validate: "Ledger validation"
close: "Close ledger"
replay: "Ledger replay executed"
delta: "Delta-based ledger acquired"
# PathFinding Spans
pathfind:
request: "Path request initiated"
compute: "Path computation executed"
# TxQ Spans
txq:
enqueue: "Transaction queued"
apply: "Queued transaction applied"
# Fee/Load Spans
fee:
escalate: "Fee escalation triggered"
# Validator Spans
validator:
list:
fetch: "UNL list fetched"
manifest: "Manifest update processed"
# Amendment Spans
amendment:
vote: "Amendment voting executed"
# SHAMap Spans
shamap:
sync: "State tree synchronization"
# Job Spans
job:
enqueue: "Job added to queue"
execute: "Job execution"
```
---
## 2.4 Attribute Schema
> **TxQ** = Transaction Queue | **UNL** = Unique Node List | **OTLP** = OpenTelemetry Protocol
### 2.4.1 Resource Attributes (Set Once at Startup)
```cpp
// Standard OpenTelemetry semantic conventions
resource::SemanticConventions::SERVICE_NAME = "xrpld"
resource::SemanticConventions::SERVICE_VERSION = BuildInfo::getVersionString()
resource::SemanticConventions::SERVICE_INSTANCE_ID = <node_public_key_base58>
// Custom xrpld attributes
"xrpl.network.id" = <network_id> // e.g., 0 for mainnet
"xrpl.network.type" = "mainnet" | "testnet" | "devnet" | "standalone"
"xrpl.node.type" = "validator" | "stock" | "reporting"
"xrpl.node.cluster" = <cluster_name> // If clustered
```
### 2.4.2 Span Attributes by Category
#### Transaction Attributes
```cpp
"xrpl.tx.hash" = string // Transaction hash (hex)
"xrpl.tx.type" = string // "Payment", "OfferCreate", etc.
"xrpl.tx.account" = string // Source account (redacted in prod)
"xrpl.tx.sequence" = int64 // Account sequence number
"xrpl.tx.fee" = int64 // Fee in drops
"xrpl.tx.result" = string // "tesSUCCESS", "tecPATH_DRY", etc.
"xrpl.tx.ledger_index" = int64 // Ledger containing transaction
```
#### Consensus Attributes
```cpp
"xrpl.consensus.round" = int64 // Round number
"xrpl.consensus.phase" = string // "open", "establish", "accept"
"xrpl.consensus.mode" = string // "proposing", "observing", etc.
"xrpl.consensus.proposers" = int64 // Number of proposers
"xrpl.consensus.ledger.prev" = string // Previous ledger hash
"xrpl.consensus.ledger.seq" = int64 // Ledger sequence
"xrpl.consensus.tx_count" = int64 // Transactions in consensus set
"xrpl.consensus.duration_ms" = float64 // Round duration
```
#### RPC Attributes
```cpp
"command" = string // Command name
"version" = int64 // API version
"rpc_role" = string // "admin" or "user"
"xrpl.rpc.params" = string // Sanitized parameters (optional, planned)
```
#### Peer & Message Attributes
```cpp
"xrpl.peer.id" = string // Peer public key (base58)
"xrpl.peer.address" = string // IP:port
"xrpl.peer.latency_ms" = float64 // Measured latency
"xrpl.peer.cluster" = string // Cluster name if clustered
"xrpl.message.type" = string // Protocol message type name
"xrpl.message.size_bytes" = int64 // Message size
"xrpl.message.compressed" = bool // Whether compressed
```
#### Ledger & Job Attributes
```cpp
"xrpl.ledger.hash" = string // Ledger hash
"xrpl.ledger.index" = int64 // Ledger sequence/index
"xrpl.ledger.close_time" = int64 // Close time (epoch)
"xrpl.ledger.tx_count" = int64 // Transaction count
"xrpl.job.type" = string // Job type name
"xrpl.job.queue_ms" = float64 // Time spent in queue
"xrpl.job.worker" = int64 // Worker thread ID
```
#### PathFinding Attributes
```cpp
"xrpl.pathfind.source_currency" = string // Source currency code
"xrpl.pathfind.dest_currency" = string // Destination currency code
"xrpl.pathfind.path_count" = int64 // Number of paths found
"xrpl.pathfind.cache_hit" = bool // RippleLineCache hit
```
#### TxQ Attributes
```cpp
"xrpl.txq.queue_depth" = int64 // Current queue depth
"xrpl.txq.fee_level" = int64 // Fee level of transaction
"xrpl.txq.eviction_reason" = string // Why transaction was evicted
```
#### Fee Attributes
```cpp
"xrpl.fee.load_factor" = int64 // Current load factor
"xrpl.fee.escalation_level" = int64 // Fee escalation multiplier
```
#### Validator Attributes
```cpp
"xrpl.validator.list_size" = int64 // UNL size
"xrpl.validator.list_age_sec" = int64 // Seconds since last update
```
#### Amendment Attributes
```cpp
"xrpl.amendment.name" = string // Amendment name
"xrpl.amendment.status" = string // "enabled", "vetoed", "supported"
```
#### SHAMap Attributes
```cpp
"xrpl.shamap.type" = string // "transaction", "state", "account_state"
"xrpl.shamap.missing_nodes" = int64 // Number of missing nodes during sync
"xrpl.shamap.duration_ms" = float64 // Sync duration
```
### 2.4.3 Data Collection Summary
The following table summarizes what data is collected by category:
| Category | Attributes Collected | Purpose |
| --------------- | ---------------------------------------------------------------------- | ---------------------------- |
| **Transaction** | `tx.hash`, `tx.type`, `tx.result`, `tx.fee`, `ledger_index` | Trace transaction lifecycle |
| **Consensus** | `round`, `phase`, `mode`, `proposers` (public keys), `duration_ms` | Analyze consensus timing |
| **RPC** | `command`, `version`, `status`, `duration_ms` | Monitor RPC performance |
| **Peer** | `peer.id` (public key), `latency_ms`, `message.type`, `message.size` | Network topology analysis |
| **Ledger** | `ledger.hash`, `ledger.index`, `close_time`, `tx_count` | Ledger progression tracking |
| **Job** | `job.type`, `queue_ms`, `worker` | JobQueue performance |
| **PathFinding** | `pathfind.source_currency`, `dest_currency`, `path_count`, `cache_hit` | Payment path analysis |
| **TxQ** | `txq.queue_depth`, `fee_level`, `eviction_reason` | Queue depth and fee tracking |
| **Fee** | `fee.load_factor`, `escalation_level` | Fee escalation monitoring |
| **Validator** | `validator.list_size`, `list_age_sec` | UNL health monitoring |
| **Amendment** | `amendment.name`, `status` | Protocol upgrade tracking |
| **SHAMap** | `shamap.type`, `missing_nodes`, `duration_ms` | State tree sync performance |
### 2.4.4 Privacy & Sensitive Data Policy
> **PII** = Personally Identifiable Information
OpenTelemetry instrumentation is designed to collect **operational metadata only**, never sensitive content.
#### Data NOT Collected
The following data is explicitly **excluded** from telemetry collection:
| Excluded Data | Reason |
| ----------------------- | ----------------------------------------- |
| **Private Keys** | Never exposed; not relevant to tracing |
| **Account Balances** | Financial data; privacy sensitive |
| **Transaction Amounts** | Financial data; privacy sensitive |
| **Raw TX Payloads** | May contain sensitive memo/data fields |
| **Personal Data** | No PII collected |
| **IP Addresses** | Configurable; excluded by default in prod |
#### Privacy Protection Mechanisms
| Mechanism | Description |
| ----------------------------- | ------------------------------------------------------------------------- |
| **Account Hashing** | `xrpl.tx.account` is hashed at collector level before storage |
| **Configurable Redaction** | Sensitive fields can be excluded via `[telemetry]` config section |
| **Sampling** | Only 10% of traces recorded by default, reducing data exposure |
| **Local Control** | Node operators have full control over what gets exported |
| **No Raw Payloads** | Transaction content is never recorded, only metadata (hash, type, result) |
| **Collector-Level Filtering** | Additional redaction/hashing can be configured at OTel Collector |
#### Collector-Level Data Protection
The OpenTelemetry Collector can be configured to hash or redact sensitive attributes before export:
```yaml
processors:
attributes:
actions:
# Hash account addresses before storage
- key: xrpl.tx.account
action: hash
# Remove IP addresses entirely
- key: xrpl.peer.address
action: delete
# Redact specific fields
- key: xrpl.rpc.params
action: delete
```
#### Configuration Options for Privacy
In `xrpld.cfg`, operators can control data collection granularity:
```ini
[telemetry]
enabled=1
# Disable collection of specific components
trace_transactions=1
trace_consensus=1
trace_rpc=1
trace_peer=0 # Disable peer tracing (high volume, includes addresses)
# Redact specific attributes
redact_account=1 # Hash account addresses before export
redact_peer_address=1 # Remove peer IP addresses
```
> **Note**: The `redact_account` configuration in `xrpld.cfg` controls SDK-level redaction before export, while collector-level filtering (see [Collector-Level Data Protection](#collector-level-data-protection) above) provides an additional defense-in-depth layer. Both can operate independently.
> **Key Principle**: Telemetry collects **operational metadata** (timing, counts, hashes) — never **sensitive content** (keys, balances, amounts, raw payloads).
---
## 2.5 Context Propagation Design
> **WS** = WebSocket
### 2.5.1 Propagation Boundaries
```mermaid
flowchart TB
subgraph http["HTTP/WebSocket (RPC)"]
w3c["W3C Trace Context Headers:<br/>traceparent:<br/>00-trace_id-span_id-flags<br/>tracestate: xrpld=..."]
end
subgraph protobuf["Protocol Buffers (P2P)"]
proto["message TraceContext {<br/> bytes trace_id = 1; // 16 bytes<br/> bytes span_id = 2; // 8 bytes<br/> uint32 trace_flags = 3;<br/> string trace_state = 4;<br/>}"]
end
subgraph jobqueue["JobQueue (Internal Async)"]
job["Context captured at job creation,<br/>restored at execution<br/><br/>class Job {<br/> otel::context::Context<br/> traceContext_;<br/>};"]
end
style http fill:#0d47a1,stroke:#082f6a,color:#ffffff
style protobuf fill:#1b5e20,stroke:#0d3d14,color:#ffffff
style jobqueue fill:#bf360c,stroke:#8c2809,color:#ffffff
```
**Reading the diagram:**
- **HTTP/WebSocket - RPC (blue)**: For client-facing RPC requests, trace context is propagated using the W3C `traceparent` header. This is the standard approach and works with any OTel-compatible client.
- **Protocol Buffers - P2P (green)**: For peer-to-peer messages between xrpld nodes, trace context is embedded as a protobuf `TraceContext` message carrying trace_id, span_id, flags, and optional trace_state.
- **JobQueue - Internal Async (red)**: For asynchronous work within a single node, the OTel context is captured when a job is created and restored when the job executes on a worker thread. This bridges the async gap so spans remain linked.
---
## 2.6 Integration with Existing Observability
> **OTLP** = OpenTelemetry Protocol | **WS** = WebSocket
### 2.6.1 Existing Frameworks Comparison
xrpld already has two observability mechanisms. OpenTelemetry complements (not replaces) them:
| Aspect | PerfLog | Beast Insight (StatsD) | OpenTelemetry |
| --------------------- | ----------------------------- | ---------------------------- | ------------------------- |
| **Type** | Logging | Metrics | Distributed Tracing |
| **Data** | JSON log entries | Counters, gauges, histograms | Spans with context |
| **Scope** | Single node | Single node | **Cross-node** |
| **Output** | `perf.log` file | StatsD server | OTLP Collector |
| **Question answered** | "What happened on this node?" | "How many? How fast?" | "What was the journey?" |
| **Correlation** | By timestamp | By metric name | By `trace_id` |
| **Overhead** | Low (file I/O) | Low (UDP packets) | Low-Medium (configurable) |
### 2.6.2 What Each Framework Does Best
#### PerfLog
- **Purpose**: Detailed local event logging for RPC and job execution
- **Strengths**:
- Rich JSON output with timing data
- Already integrated in RPC handlers
- File-based, no external dependencies
- **Limitations**:
- Single-node only (no cross-node correlation)
- No parent-child relationships between events
- Manual log parsing required
```json
// Example PerfLog entry
{
"time": "2024-01-15T10:30:00.123Z",
"method": "submit",
"duration_us": 1523,
"result": "tesSUCCESS"
}
```
#### Beast Insight (StatsD)
- **Purpose**: Real-time metrics for monitoring dashboards
- **Strengths**:
- Aggregated metrics (counters, gauges, histograms)
- Low overhead (UDP, fire-and-forget)
- Good for alerting thresholds
- **Limitations**:
- No request-level detail
- No causal relationships
- Single-node perspective
```cpp
// Example StatsD usage in xrpld
insight.increment("rpc.submit.count");
insight.gauge("ledger.age", age);
insight.timing("consensus.round", duration);
```
#### OpenTelemetry (NEW)
- **Purpose**: Distributed request tracing across nodes
- **Strengths**:
- **Cross-node correlation** via `trace_id`
- Parent-child span relationships
- Rich attributes per span
- Industry standard (CNCF)
- **Limitations**:
- Requires collector infrastructure
- Higher complexity than logging
```cpp
// Example OpenTelemetry span
auto span = telemetry.startSpan("tx.relay");
span->SetAttribute("tx.hash", hash);
span->SetAttribute("peer.id", peerId);
// Span automatically linked to parent via context
```
### 2.6.3 When to Use Each
| Scenario | PerfLog | StatsD | OpenTelemetry |
| --------------------------------------- | ---------- | ------ | ------------- |
| "How many TXs per second?" | ❌ | ✅ | ✅ |
| "What's the p99 RPC latency?" | ❌ | ✅ | ✅ |
| "Why was this specific TX slow?" | ⚠️ partial | ❌ | ✅ |
| "Which node delayed consensus?" | ❌ | ❌ | ✅ |
| "What happened on node X at time T?" | ✅ | ❌ | ✅ |
| "Show me the TX journey across 5 nodes" | ❌ | ❌ | ✅ |
### 2.6.4 Coexistence Strategy
```mermaid
flowchart TB
subgraph xrpld["xrpld Process"]
perflog["PerfLog<br/>(JSON to file)"]
insight["Beast Insight<br/>(StatsD)"]
otel["OpenTelemetry<br/>(Tracing)"]
end
perflog --> perffile["perf.log"]
insight --> statsd["StatsD Server"]
otel --> collector["OTLP Collector"]
perffile --> grafana["Grafana<br/>(Unified UI)"]
statsd --> grafana
collector --> grafana
style xrpld fill:#212121,stroke:#0a0a0a,color:#ffffff
style grafana fill:#bf360c,stroke:#8c2809,color:#ffffff
```
**Reading the diagram:**
- **xrpld Process (dark gray)**: The single xrpld node running all three observability frameworks side by side. Each framework operates independently with no interference.
- **PerfLog to perf.log**: PerfLog writes JSON-formatted event logs to a local file. Grafana can ingest these via Loki or a file-based datasource.
- **Beast Insight to StatsD Server**: Insight sends aggregated metrics (counters, gauges) over UDP to a StatsD server. Grafana reads from StatsD-compatible backends like Graphite or Prometheus (via StatsD exporter).
- **OpenTelemetry to OTLP Collector**: OTel exports spans over OTLP/gRPC to a Collector, which then forwards to a trace backend (Tempo).
- **Grafana (red, unified UI)**: All three data streams converge in Grafana, enabling operators to correlate logs, metrics, and traces in a single dashboard.
### 2.6.5 Correlation with PerfLog
Trace IDs can be correlated with existing PerfLog entries for comprehensive debugging:
```cpp
// In RPCHandler.cpp - correlate trace with PerfLog
Status doCommand(RPC::JsonContext& context, Json::Value& result)
{
// Start OpenTelemetry span
auto span = context.app.getTelemetry().startSpan(
"rpc.command." + context.method);
// Get trace ID for correlation
auto traceId = span->GetContext().trace_id().IsValid()
? toHex(span->GetContext().trace_id())
: "";
// Use existing PerfLog with trace correlation
auto const curId = context.app.getPerfLog().currentId();
context.app.getPerfLog().rpcStart(context.method, curId);
// Future: Add trace ID to PerfLog entry
// context.app.getPerfLog().setTraceId(curId, traceId);
try {
auto ret = handler(context, result);
context.app.getPerfLog().rpcFinish(context.method, curId);
span->SetStatus(opentelemetry::trace::StatusCode::kOk);
return ret;
} catch (std::exception const& e) {
context.app.getPerfLog().rpcError(context.method, curId);
span->RecordException(e);
span->SetStatus(opentelemetry::trace::StatusCode::kError, e.what());
throw;
}
}
```
---
_Previous: [Architecture Analysis](./01-architecture-analysis.md)_ | _Next: [Implementation Strategy](./03-implementation-strategy.md)_ | _Back to: [Overview](./OpenTelemetryPlan.md)_

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@@ -1,530 +0,0 @@
# Implementation Strategy
> **Parent Document**: [OpenTelemetryPlan.md](./OpenTelemetryPlan.md)
> **Related**: [Code Samples](./04-code-samples.md) | [Configuration Reference](./05-configuration-reference.md)
---
## 3.1 Directory Structure
The telemetry implementation follows xrpld's existing code organization pattern:
```
include/xrpl/
├── telemetry/
│ ├── Telemetry.h # Main telemetry interface (global singleton)
│ ├── TelemetryConfig.h # Configuration structures
│ ├── TraceContext.h # Context propagation utilities
│ ├── SpanGuard.h # RAII span management with factory methods + discard()
│ ├── DiscardFlag.h # Thread-local discard flag
│ └── SpanAttributes.h # Attribute helper functions
src/libxrpl/
├── telemetry/
│ ├── Telemetry.cpp # Implementation + FilteringSpanProcessor
│ ├── TelemetryConfig.cpp # Config parsing
│ ├── TraceContext.cpp # Context serialization
│ └── NullTelemetry.cpp # No-op implementation
```
---
## 3.2 Implementation Approach
<div align="center">
```mermaid
%%{init: {'flowchart': {'nodeSpacing': 20, 'rankSpacing': 30}}}%%
flowchart TB
subgraph phase1["Phase 1: Core"]
direction LR
sdk["SDK Integration"] ~~~ interface["Telemetry Interface"] ~~~ config["Configuration"]
end
subgraph phase2["Phase 2: RPC"]
direction LR
http["HTTP Context"] ~~~ rpc["RPC Handlers"]
end
subgraph phase3["Phase 3: P2P"]
direction LR
proto["Protobuf Context"] ~~~ tx["Transaction Relay"]
end
subgraph phase4["Phase 4: Consensus"]
direction LR
consensus["Consensus Rounds"] ~~~ proposals["Proposals"]
end
phase1 --> phase2 --> phase3 --> phase4
style phase1 fill:#1565c0,stroke:#0d47a1,color:#ffffff
style phase2 fill:#2e7d32,stroke:#1b5e20,color:#ffffff
style phase3 fill:#e65100,stroke:#bf360c,color:#ffffff
style phase4 fill:#c2185b,stroke:#880e4f,color:#ffffff
```
</div>
### Key Principles
1. **Minimal Intrusion**: Instrumentation should not alter existing control flow
2. **Zero-Cost When Disabled**: Use compile-time flags and no-op implementations
3. **Backward Compatibility**: Protocol Buffer extensions use high field numbers
4. **Graceful Degradation**: Tracing failures must not affect node operation
---
## 3.3 Performance Overhead Summary
> **OTLP** = OpenTelemetry Protocol
| Metric | Overhead | Notes |
| ------------- | ---------- | ------------------------------------------------ |
| CPU | 1-3% | Of per-transaction CPU cost (~200μs baseline) |
| Memory | ~10 MB | SDK statics + batch buffer + worker thread stack |
| Network | 10-50 KB/s | Compressed OTLP export to collector |
| Latency (p99) | <2% | With proper sampling configuration |
---
## 3.4 Detailed CPU Overhead Analysis
### 3.4.1 Per-Operation Costs
> **Note on hardware assumptions**: The costs below are based on the official OTel C++ SDK CI benchmarks
> (969 runs on GitHub Actions 2-core shared runners). On production server hardware (3+ GHz Xeon),
> expect costs at the **lower end** of each range (~30-50% improvement over CI hardware).
| Operation | Time (ns) | Frequency | Impact |
| --------------------- | --------- | ---------------------- | ---------- |
| Span creation | 500-1000 | Every traced operation | Low |
| Span end | 100-200 | Every traced operation | Low |
| SetAttribute (string) | 80-120 | 3-5 per span | Low |
| SetAttribute (int) | 40-60 | 2-3 per span | Negligible |
| AddEvent | 100-200 | 0-2 per span | Low |
| Context injection | 150-250 | Per outgoing message | Low |
| Context extraction | 100-180 | Per incoming message | Low |
| GetCurrent context | 10-20 | Thread-local access | Negligible |
**Source**: Span creation based on OTel C++ SDK `BM_SpanCreation` benchmark (AlwaysOnSampler +
SimpleSpanProcessor + InMemoryExporter), median ~1,000 ns on CI hardware. AddEvent includes
timestamp read + string copy + vector push + mutex acquisition. Context injection/extraction
confirmed by `BM_SpanCreationWithScope` benchmark delta (~160 ns).
### 3.4.2 Transaction Processing Overhead
<div align="center">
```mermaid
%%{init: {'pie': {'textPosition': 0.75}}}%%
pie showData
"tx.receive (1400ns)" : 1400
"tx.validate (1200ns)" : 1200
"tx.relay (1200ns)" : 1200
"Context inject (200ns)" : 200
```
**Transaction Tracing Overhead (~4.0μs total)**
</div>
**Overhead percentage**: 4.0 μs / 200 μs (avg tx processing) = **~2.0%**
> **Breakdown**: Each span (tx.receive, tx.validate, tx.relay) costs ~1,000 ns for creation plus
> ~200-400 ns for 3-5 attribute sets. Context injection is ~200 ns (confirmed by benchmarks).
> On production hardware, expect ~2.6 μs total (~1.3% overhead) due to faster span creation (~500-600 ns).
### 3.4.3 Consensus Round Overhead
| Operation | Count | Cost (ns) | Total |
| ---------------------- | ----- | --------- | ---------- |
| consensus.round span | 1 | ~1200 | ~1.2 μs |
| consensus.phase spans | 3 | ~1100 | ~3.3 μs |
| proposal.receive spans | ~20 | ~1100 | ~22 μs |
| proposal.send spans | ~3 | ~1100 | ~3.3 μs |
| Context operations | ~30 | ~200 | ~6 μs |
| **TOTAL** | | | **~36 μs** |
> **Why higher**: Each span costs ~1,000 ns creation + ~100-200 ns for 1-2 attributes, totaling ~1,100-1,200 ns.
> Context operations remain ~200 ns (confirmed by benchmarks). On production hardware, expect ~24 μs total.
**Overhead percentage**: 36 μs / 3s (typical round) = **~0.001%** (negligible)
### 3.4.4 RPC Request Overhead
| Operation | Cost (ns) |
| ---------------- | ------------ |
| rpc.request span | ~1200 |
| rpc.command span | ~1100 |
| Context extract | ~250 |
| Context inject | ~200 |
| **TOTAL** | **~2.75 μs** |
> **Why higher**: Each span costs ~1,000 ns creation + ~100-200 ns for attributes (command name,
> version, role). Context extract/inject costs are confirmed by OTel C++ benchmarks.
- Fast RPC (1ms): 2.75 μs / 1ms = **~0.275%**
- Slow RPC (100ms): 2.75 μs / 100ms = **~0.003%**
---
## 3.5 Memory Overhead Analysis
> **OTLP** = OpenTelemetry Protocol
### 3.5.1 Static Memory
| Component | Size | Allocated |
| ------------------------------------ | ----------- | ---------- |
| TracerProvider singleton | ~64 KB | At startup |
| BatchSpanProcessor (circular buffer) | ~16 KB | At startup |
| BatchSpanProcessor (worker thread) | ~8 MB | At startup |
| OTLP exporter (gRPC channel init) | ~256 KB | At startup |
| Propagator registry | ~8 KB | At startup |
| **Total static** | **~8.3 MB** | |
> **Why higher than earlier estimate**: The BatchSpanProcessor's circular buffer itself is only ~16 KB
> (2049 x 8-byte `AtomicUniquePtr` entries), but it spawns a dedicated worker thread whose default
> stack size on Linux is ~8 MB. The OTLP gRPC exporter allocates memory for channel stubs and TLS
> initialization. The worker thread stack dominates the static footprint.
### 3.5.2 Dynamic Memory
| Component | Size per unit | Max units | Peak |
| -------------------- | -------------- | ---------- | --------------- |
| Active span | ~500-800 bytes | 1000 | ~500-800 KB |
| Queued span (export) | ~500 bytes | 2048 | ~1 MB |
| Attribute storage | ~80 bytes | 5 per span | Included |
| Context storage | ~64 bytes | Per thread | ~6.4 KB |
| **Total dynamic** | | | **~1.5-1.8 MB** |
> **Why active spans are larger**: An active `Span` object includes the wrapper (~88 bytes: shared_ptr,
> mutex, unique_ptr to Recordable) plus `SpanData` (~250 bytes: SpanContext, timestamps, name, status,
> empty containers) plus attribute storage (~200-500 bytes for 3-5 string attributes in a `std::map`).
> Source: `sdk/src/trace/span.h` and `sdk/include/opentelemetry/sdk/trace/span_data.h`.
> Queued spans release the wrapper, keeping only `SpanData` + attributes (~500 bytes).
### 3.5.3 Memory Growth Characteristics
```mermaid
---
config:
xyChart:
width: 700
height: 400
---
xychart-beta
title "Memory Usage vs Span Rate (bounded by queue limit)"
x-axis "Spans/second" [0, 200, 400, 600, 800, 1000]
y-axis "Memory (MB)" 0 --> 12
line [8.5, 9.2, 9.6, 9.9, 10.0, 10.0]
```
**Notes**:
- Memory increases with span rate but **plateaus at queue capacity** (default 2048 spans)
- Batch export prevents unbounded growth
- At queue limit, oldest spans are dropped (not blocked)
- Maximum memory is bounded: ~8.3 MB static (dominated by worker thread stack) + 2048 queued spans x ~500 bytes (~1 MB) + active spans (~0.8 MB) ≈ **~10 MB ceiling**
- The worker thread stack (~8 MB) is virtual memory; actual RSS depends on stack usage (typically much less)
### 3.5.4 Performance Data Sources
The overhead estimates in Sections 3.3-3.5 are derived from the following sources:
| Source | What it covers | URL |
| ------------------------------------------------ | ----------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------ |
| OTel C++ SDK CI benchmarks (969 runs) | Span creation, context activation, sampler overhead | [Benchmark Dashboard](https://open-telemetry.github.io/opentelemetry-cpp/benchmarks/) |
| `api/test/trace/span_benchmark.cc` | API-level span creation (~22 ns no-op) | [Source](https://github.com/open-telemetry/opentelemetry-cpp/blob/main/api/test/trace/span_benchmark.cc) |
| `sdk/test/trace/sampler_benchmark.cc` | SDK span creation with samplers (~1,000 ns AlwaysOn) | [Source](https://github.com/open-telemetry/opentelemetry-cpp/blob/main/sdk/test/trace/sampler_benchmark.cc) |
| `sdk/include/.../span_data.h` | SpanData memory layout (~250 bytes base) | [Source](https://github.com/open-telemetry/opentelemetry-cpp/blob/main/sdk/include/opentelemetry/sdk/trace/span_data.h) |
| `sdk/src/trace/span.h` | Span wrapper memory layout (~88 bytes) | [Source](https://github.com/open-telemetry/opentelemetry-cpp/blob/main/sdk/src/trace/span.h) |
| `sdk/include/.../batch_span_processor_options.h` | Default queue size (2048), batch size (512) | [Source](https://github.com/open-telemetry/opentelemetry-cpp/blob/main/sdk/include/opentelemetry/sdk/trace/batch_span_processor_options.h) |
| `sdk/include/.../circular_buffer.h` | CircularBuffer implementation (AtomicUniquePtr array) | [Source](https://github.com/open-telemetry/opentelemetry-cpp/blob/main/sdk/include/opentelemetry/sdk/common/circular_buffer.h) |
| OTLP proto definition | Serialized span size estimation | [Proto](https://github.com/open-telemetry/opentelemetry-proto/blob/main/opentelemetry/proto/trace/v1/trace.proto) |
---
## 3.6 Network Overhead Analysis
### 3.6.1 Export Bandwidth
> **Bytes per span**: Estimates use ~500 bytes/span (conservative upper bound). OTLP protobuf analysis
> shows a typical span with 3-5 string attributes serializes to ~200-300 bytes raw; with gzip
> compression (~60-70% of raw) and batching (amortized headers), ~350 bytes/span is more realistic.
> The table uses the conservative estimate for capacity planning.
| Sampling Rate | Spans/sec | Bandwidth | Notes |
| ------------- | --------- | --------- | ---------------- |
| 100% | ~500 | ~250 KB/s | Development only |
| 10% | ~50 | ~25 KB/s | Staging |
| 1% | ~5 | ~2.5 KB/s | Production |
| Error-only | ~1 | ~0.5 KB/s | Minimal overhead |
### 3.6.2 Trace Context Propagation
| Message Type | Context Size | Messages/sec | Overhead |
| ---------------------- | ------------ | ------------ | ----------- |
| TMTransaction | 25 bytes | ~100 | ~2.5 KB/s |
| TMProposeSet | 25 bytes | ~10 | ~250 B/s |
| TMValidation | 25 bytes | ~50 | ~1.25 KB/s |
| **Total P2P overhead** | | | **~4 KB/s** |
---
## 3.7 Optimization Strategies
### 3.7.1 Sampling Strategies
#### Tail Sampling
```mermaid
flowchart TD
trace["New Trace"]
trace --> errors{"Is Error?"}
errors -->|Yes| sample["SAMPLE"]
errors -->|No| consensus{"Is Consensus?"}
consensus -->|Yes| sample
consensus -->|No| slow{"Is Slow?"}
slow -->|Yes| sample
slow -->|No| prob{"Random < 10%?"}
prob -->|Yes| sample
prob -->|No| drop["DROP"]
style sample fill:#4caf50,stroke:#388e3c,color:#fff
style drop fill:#f44336,stroke:#c62828,color:#fff
```
### 3.7.2 Batch Tuning Recommendations
| Environment | Batch Size | Batch Delay | Max Queue |
| ------------------ | ---------- | ----------- | --------- |
| Low-latency | 128 | 1000ms | 512 |
| High-throughput | 1024 | 10000ms | 8192 |
| Memory-constrained | 256 | 2000ms | 512 |
### 3.7.3 Conditional Instrumentation
SpanGuard's static factory methods handle both compile-time and runtime
checks internally. When `XRPL_ENABLE_TELEMETRY` is not defined, the
entire SpanGuard class compiles to a no-op stub with empty method bodies.
When it is defined, the factory methods check the global Telemetry
instance and the relevant component filter before creating a span:
```cpp
// SpanGuard factory methods handle all conditional logic internally.
// When XRPL_ENABLE_TELEMETRY is not defined, these are no-ops.
// When defined, they check Telemetry::getInstance() and the
// component filter (e.g. shouldTracePeer()) at runtime.
auto span = telemetry::SpanGuard::peerSpan("peer.message.receive");
span.setAttribute("xrpl.peer.id", peerId);
// No overhead when telemetry is disabled at compile time or runtime
```
---
## 3.8 Links to Detailed Documentation
- **[Code Samples](./04-code-samples.md)**: Complete implementation code for all components
- **[Configuration Reference](./05-configuration-reference.md)**: Configuration options and collector setup
- **[Implementation Phases](./06-implementation-phases.md)**: Detailed timeline and milestones
---
## 3.9 Code Intrusiveness Assessment
> **TxQ** = Transaction Queue
This section provides a detailed assessment of how intrusive the OpenTelemetry integration is to the existing xrpld codebase.
### 3.9.1 Files Modified Summary
| Component | Files Modified | Lines Added | Lines Changed | Architectural Impact |
| --------------------- | -------------- | ----------- | ------------- | -------------------- |
| **Core Telemetry** | 7 new files | ~800 | 0 | None (new module) |
| **Application Init** | 2 files | ~30 | ~5 | Minimal |
| **RPC Layer** | 3 files | ~80 | ~20 | Minimal |
| **Transaction Relay** | 4 files | ~120 | ~40 | Low |
| **Consensus** | 3 files | ~100 | ~30 | Low-Medium |
| **Protocol Buffers** | 1 file | ~25 | 0 | Low |
| **CMake/Build** | 3 files | ~50 | ~10 | Minimal |
| **PathFinding** | 2 | ~80 | ~5 | Minimal |
| **TxQ/Fee** | 2 | ~60 | ~5 | Minimal |
| **Validator/Amend** | 3 | ~40 | ~5 | Minimal |
| **Total** | **~27 files** | **~1,490** | **~120** | **Low** |
### 3.9.2 Detailed File Impact
```mermaid
pie title Code Changes by Component
"New Telemetry Module" : 800
"Transaction Relay" : 160
"Consensus" : 130
"RPC Layer" : 100
"PathFinding" : 80
"TxQ/Fee" : 60
"Validator/Amendment" : 40
"Application Init" : 35
"Protocol Buffers" : 25
"Build System" : 60
```
#### New Files (No Impact on Existing Code)
| File | Lines | Purpose |
| ------------------------------------------- | ----- | ----------------------------------------------------- |
| `include/xrpl/telemetry/Telemetry.h` | ~160 | Main interface (global singleton) |
| `include/xrpl/telemetry/SpanGuard.h` | ~250 | RAII wrapper + factory methods + discard + no-op stub |
| `include/xrpl/telemetry/DiscardFlag.h` | ~28 | Thread-local discard flag |
| `include/xrpl/telemetry/TraceContext.h` | ~80 | Context propagation |
| `src/libxrpl/telemetry/Telemetry.cpp` | ~400 | Implementation + FilteringSpanProcessor |
| `src/libxrpl/telemetry/TelemetryConfig.cpp` | ~60 | Config parsing |
| `src/libxrpl/telemetry/NullTelemetry.cpp` | ~40 | No-op implementation |
#### Modified Files (Existing Xrpld Code)
| File | Lines Added | Lines Changed | Risk Level |
| ------------------------------------------------- | ----------- | ------------- | ---------- |
| `src/xrpld/app/main/Application.cpp` | ~15 | ~3 | Low |
| `include/xrpl/core/ServiceRegistry.h` | ~5 | ~2 | Low |
| `src/xrpld/rpc/detail/ServerHandler.cpp` | ~40 | ~10 | Low |
| `src/xrpld/rpc/handlers/*.cpp` | ~30 | ~8 | Low |
| `src/xrpld/overlay/detail/PeerImp.cpp` | ~60 | ~15 | Medium |
| `src/xrpld/overlay/detail/OverlayImpl.cpp` | ~30 | ~10 | Medium |
| `src/xrpld/app/consensus/RCLConsensus.cpp` | ~50 | ~15 | Medium |
| `src/xrpld/app/consensus/RCLConsensusAdaptor.cpp` | ~40 | ~12 | Medium |
| `src/xrpld/core/JobQueue.cpp` | ~20 | ~5 | Low |
| `src/xrpld/app/paths/PathRequest.cpp` | ~40 | ~3 | Low |
| `src/xrpld/app/paths/Pathfinder.cpp` | ~40 | ~2 | Low |
| `src/xrpld/app/misc/TxQ.cpp` | ~40 | ~3 | Low |
| `src/xrpld/app/main/LoadManager.cpp` | ~20 | ~2 | Low |
| `src/xrpld/app/misc/ValidatorList.cpp` | ~20 | ~2 | Low |
| `src/xrpld/app/misc/AmendmentTable.cpp` | ~10 | ~2 | Low |
| `src/xrpld/app/misc/Manifest.cpp` | ~10 | ~1 | Low |
| `src/xrpld/shamap/SHAMap.cpp` | ~20 | ~3 | Low |
| `src/xrpld/overlay/detail/ripple.proto` | ~25 | 0 | Low |
| `CMakeLists.txt` | ~40 | ~8 | Low |
| `cmake/FindOpenTelemetry.cmake` | ~50 | 0 | None (new) |
### 3.9.3 Risk Assessment by Component
<div align="center">
**Do First** ↖ ↗ **Plan Carefully**
```mermaid
quadrantChart
title Code Intrusiveness Risk Matrix
x-axis Low Risk --> High Risk
y-axis Low Value --> High Value
RPC Tracing: [0.2, 0.55]
Transaction Relay: [0.55, 0.85]
Consensus Tracing: [0.75, 0.92]
Peer Message Tracing: [0.85, 0.35]
JobQueue Context: [0.3, 0.42]
Ledger Acquisition: [0.48, 0.65]
PathFinding: [0.38, 0.72]
TxQ and Fees: [0.25, 0.62]
Validator Mgmt: [0.15, 0.35]
```
**Optional** ↙ ↘ **Avoid**
</div>
#### Risk Level Definitions
| Risk Level | Definition | Mitigation |
| ---------- | ---------------------------------------------------------------- | ---------------------------------- |
| **Low** | Additive changes only; no modification to existing logic | Standard code review |
| **Medium** | Minor modifications to existing functions; clear boundaries | Comprehensive unit tests |
| **High** | Changes to core logic or data structures; potential side effects | Integration tests + staged rollout |
### 3.9.4 Architectural Impact Assessment
| Aspect | Impact | Justification |
| -------------------- | ------- | -------------------------------------------------------------------------------- |
| **Data Flow** | Minimal | Read-only instrumentation; no modification to consensus or transaction data flow |
| **Threading Model** | Minimal | Context propagation uses thread-local storage (standard OTel pattern) |
| **Memory Model** | Low | Bounded queues prevent unbounded growth; RAII ensures cleanup |
| **Network Protocol** | Low | Optional fields in protobuf (high field numbers); backward compatible |
| **Configuration** | None | New config section; existing configs unaffected |
| **Build System** | Low | Optional CMake flag; builds work without OpenTelemetry |
| **Dependencies** | Low | OpenTelemetry SDK is optional; null implementation when disabled |
### 3.9.5 Backward Compatibility
| Compatibility | Status | Notes |
| --------------- | ------- | ----------------------------------------------------- |
| **Config File** | ✅ Full | New `[telemetry]` section is optional |
| **Protocol** | ✅ Full | Optional protobuf fields with high field numbers |
| **Build** | ✅ Full | `XRPL_ENABLE_TELEMETRY=OFF` produces identical binary |
| **Runtime** | ✅ Full | `enabled=0` produces zero overhead |
| **API** | ✅ Full | No changes to public RPC or P2P APIs |
### 3.9.6 Rollback Strategy
If issues are discovered after deployment:
1. **Immediate**: Set `enabled=0` in config and restart (zero code change)
2. **Quick**: Rebuild with `XRPL_ENABLE_TELEMETRY=OFF`
3. **Complete**: Revert telemetry commits (clean separation makes this easy)
### 3.9.7 Code Change Examples
**Minimal RPC Instrumentation (Low Intrusiveness):**
```cpp
// Before
void ServerHandler::onRequest(...) {
auto result = processRequest(req);
send(result);
}
// After (only ~4 lines added)
void ServerHandler::onRequest(...) {
auto span = telemetry::SpanGuard::rpcSpan("rpc.request"); // +1 line
span.setAttribute("command", command); // +1 line
auto result = processRequest(req);
span.setAttribute("rpc_status", status); // +1 line
send(result);
}
```
SpanGuard factory methods (`rpcSpan`, `txSpan`, `consensusSpan`, etc.)
access the global `Telemetry` instance internally and check the relevant
component filter (`shouldTraceRpc()`, etc.) before creating a span. The
public SpanGuard header has zero `opentelemetry/` includes -- all OTel
types are hidden behind the pimpl idiom.
**Consensus Instrumentation (Medium Intrusiveness):**
```cpp
// Before
void RCLConsensusAdaptor::startRound(...) {
// ... existing logic
}
// After (context storage required)
void RCLConsensusAdaptor::startRound(...) {
auto span = telemetry::SpanGuard::consensusSpan("consensus.round");
span.setAttribute("xrpl.consensus.ledger.seq", seq);
// Store context for child spans in phase transitions
currentRoundContext_ = span.context(); // New member variable
// ... existing logic unchanged
}
```
---
_Previous: [Design Decisions](./02-design-decisions.md)_ | _Next: [Code Samples](./04-code-samples.md)_ | _Back to: [Overview](./OpenTelemetryPlan.md)_

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@@ -1,972 +0,0 @@
# Configuration Reference
> **Parent Document**: [OpenTelemetryPlan.md](./OpenTelemetryPlan.md)
> **Related**: [Code Samples](./04-code-samples.md) | [Implementation Phases](./06-implementation-phases.md)
---
## 5.1 xrpld Configuration
> **OTLP** = OpenTelemetry Protocol | **TxQ** = Transaction Queue
### 5.1.1 Configuration File Section
Add to `cfg/xrpld-example.cfg`:
```ini
# ═══════════════════════════════════════════════════════════════════════════════
# TELEMETRY (OpenTelemetry Distributed Tracing)
# ═══════════════════════════════════════════════════════════════════════════════
#
# Enables distributed tracing for transaction flow, consensus, and RPC calls.
# Traces are exported to an OpenTelemetry Collector using OTLP protocol.
#
# [telemetry]
#
# # Enable/disable telemetry (default: 0 = disabled)
# enabled=1
#
# # OTLP endpoint (default: http://localhost:4318/v1/traces - OTLP/HTTP)
# # Note: only OTLP/HTTP is shipped in Phase 1b. OTLP/gRPC support is
# # planned as future work and is not yet parsed by TelemetryConfig.cpp.
# endpoint=http://localhost:4318/v1/traces
#
# # Use TLS for exporter connection (default: 0)
# use_tls=0
#
# # Path to CA certificate for TLS (optional)
# # tls_ca_cert=/path/to/ca.crt
#
# # Sampling ratio: 0.0-1.0 (default: 1.0 = 100% sampling)
# # Use lower values in production to reduce overhead
# # Default: 1.0 (all traces). For production deployments with high
# # throughput, 0.1 (10%) is recommended to reduce overhead.
# # See Section 7.4.2 for sampling strategy details.
# sampling_ratio=0.1
#
# # Batch processor settings
# batch_size=512 # Spans per batch (default: 512)
# batch_delay_ms=5000 # Max delay before sending batch (default: 5000)
# max_queue_size=2048 # Max queued spans (default: 2048)
#
# # Component-specific tracing (default: all enabled except peer)
# trace_transactions=1 # Transaction relay and processing
# trace_consensus=1 # Consensus rounds and proposals
# trace_rpc=1 # RPC request handling
# trace_peer=0 # Peer messages (high volume, disabled by default)
# trace_ledger=1 # Ledger acquisition and building
#
# # Planned (not yet parsed by TelemetryConfig.cpp):
# # trace_pathfind=1 # Path computation (Phase 2)
# # trace_txq=1 # Transaction queue (Phase 3)
# # trace_validator=0 # Validator list / manifest (future)
# # trace_amendment=0 # Amendment voting (future)
#
# # Service identification (automatically detected if not specified)
# # service_name=xrpld
# # service_instance_id=<node_public_key>
[telemetry]
enabled=0
```
### 5.1.2 Configuration Options Summary
| Option | Type | Default | Description |
| --------------------- | ------ | --------------------------------- | ----------------------------------------- |
| `enabled` | bool | `false` | Enable/disable telemetry |
| `endpoint` | string | `http://localhost:4318/v1/traces` | OTLP/HTTP collector endpoint |
| `use_tls` | bool | `false` | Enable TLS for exporter connection |
| `tls_ca_cert` | string | `""` | Path to CA certificate file |
| `sampling_ratio` | float | `1.0` | Sampling ratio (0.0-1.0) |
| `batch_size` | uint | `512` | Spans per export batch |
| `batch_delay_ms` | uint | `5000` | Max delay before sending batch (ms) |
| `max_queue_size` | uint | `2048` | Maximum queued spans |
| `trace_transactions` | bool | `true` | Enable transaction tracing |
| `trace_consensus` | bool | `true` | Enable consensus tracing |
| `trace_rpc` | bool | `true` | Enable RPC tracing |
| `trace_peer` | bool | `false` | Enable peer message tracing (high volume) |
| `trace_ledger` | bool | `true` | Enable ledger tracing |
| `service_name` | string | `"xrpld"` | Service name for traces |
| `service_instance_id` | string | `<node_pubkey>` | Instance identifier |
**Planned (not yet implemented)**: the following options appear in the design
documents but are not parsed by `TelemetryConfig.cpp` in Phase 1b and later
phases. They will be added as the corresponding subsystems are instrumented:
| Option | Planned Phase | Purpose |
| ----------------- | ------------- | ---------------------------------------- |
| `exporter` | Future | Select between OTLP/HTTP and OTLP/gRPC |
| `trace_pathfind` | Phase 2 | Path computation tracing toggle |
| `trace_txq` | Phase 3 | Transaction queue tracing toggle |
| `trace_validator` | Future | Validator list / manifest update tracing |
| `trace_amendment` | Future | Amendment voting tracing |
---
## 5.2 Configuration Parser
> **TxQ** = Transaction Queue
```cpp
// src/libxrpl/telemetry/TelemetryConfig.cpp
#include <xrpl/telemetry/Telemetry.h>
#include <xrpl/basics/Log.h>
namespace xrpl {
namespace telemetry {
Telemetry::Setup
setup_Telemetry(
Section const& section,
std::string const& nodePublicKey,
std::string const& version)
{
Telemetry::Setup setup;
// Basic settings
setup.enabled = section.value_or("enabled", false);
setup.serviceName = section.value_or("service_name", "xrpld");
setup.serviceVersion = version;
setup.serviceInstanceId = section.value_or(
"service_instance_id", nodePublicKey);
// Exporter settings
setup.exporterType = section.value_or("exporter", "otlp_grpc");
if (setup.exporterType == "otlp_grpc")
setup.exporterEndpoint = section.value_or("endpoint", "localhost:4317");
else if (setup.exporterType == "otlp_http")
setup.exporterEndpoint = section.value_or("endpoint", "localhost:4318");
setup.useTls = section.value_or("use_tls", false);
setup.tlsCertPath = section.value_or("tls_ca_cert", "");
// Sampling
setup.samplingRatio = section.value_or("sampling_ratio", 1.0);
if (setup.samplingRatio < 0.0 || setup.samplingRatio > 1.0)
{
Throw<std::runtime_error>(
"telemetry.sampling_ratio must be between 0.0 and 1.0");
}
// Batch processor
setup.batchSize = section.value_or("batch_size", 512u);
setup.batchDelay = std::chrono::milliseconds{
section.value_or("batch_delay_ms", 5000u)};
setup.maxQueueSize = section.value_or("max_queue_size", 2048u);
// Component filtering
setup.traceTransactions = section.value_or("trace_transactions", true);
setup.traceConsensus = section.value_or("trace_consensus", true);
setup.traceRpc = section.value_or("trace_rpc", true);
setup.tracePeer = section.value_or("trace_peer", false);
setup.traceLedger = section.value_or("trace_ledger", true);
setup.tracePathfind = section.value_or("trace_pathfind", true);
setup.traceTxQ = section.value_or("trace_txq", true);
setup.traceValidator = section.value_or("trace_validator", false);
setup.traceAmendment = section.value_or("trace_amendment", false);
return setup;
}
} // namespace telemetry
} // namespace xrpl
```
---
## 5.3 Application Integration
### 5.3.1 ApplicationImp Changes
> **Deferred identity**: The node public key (`nodeIdentity_`) is not
> available during `ApplicationImp`'s member initializer list — it is
> resolved later in `setup()`. The `Telemetry` object is therefore
> constructed with an empty `serviceInstanceId` and patched via
> `setServiceInstanceId()` once `setup()` has called `getNodeIdentity()`.
```cpp
// src/xrpld/app/main/Application.cpp (modified)
#include <xrpl/telemetry/Telemetry.h>
class ApplicationImp : public Application, public BasicApp
{
// ... existing members (perfLog_, etc.) ...
// Telemetry — constructed in the member initializer list with
// an empty serviceInstanceId, patched in setup().
std::unique_ptr<telemetry::Telemetry> telemetry_;
// Member initializer list (excerpt):
// ...
// , telemetry_(
// telemetry::make_Telemetry(
// telemetry::setup_Telemetry(
// config_->section("telemetry"),
// "", // Updated later via setServiceInstanceId()
// BuildInfo::getVersionString()),
// logs_->journal("Telemetry")))
// ...
bool setup(...) override
{
// ... existing setup code ...
nodeIdentity_ = getNodeIdentity(*this, cmdline);
// Inject node identity into telemetry resource attributes,
// unless the user already set a custom service_instance_id.
if (!config_->section("telemetry").exists("service_instance_id"))
telemetry_->setServiceInstanceId(
toBase58(TokenType::NodePublic, nodeIdentity_->first));
// ... rest of setup ...
}
void start(bool withTimers) override
{
// ... existing start code ...
telemetry_->start();
}
void run() override
{
// ... existing run/shutdown code ...
telemetry_->stop();
}
telemetry::Telemetry&
getTelemetry() override
{
return *telemetry_;
}
};
```
### 5.3.2 ServiceRegistry Interface Addition
```cpp
// include/xrpl/core/ServiceRegistry.h (modified)
namespace telemetry {
class Telemetry;
} // namespace telemetry
class ServiceRegistry
{
public:
// ... existing virtual methods ...
/** Get the telemetry system for distributed tracing. */
virtual telemetry::Telemetry&
getTelemetry() = 0;
};
```
> **Note:** `Application` extends `ServiceRegistry`, so `getTelemetry()` is
> available on both. Components that hold a `ServiceRegistry&` (e.g.
> `NetworkOPsImp`) call `registry_.get().getTelemetry()`. Components that
> still hold an `Application&` (e.g. `ServerHandler`, `PeerImp`,
> `RCLConsensusAdaptor`) call `app_.getTelemetry()` directly.
---
## 5.4 CMake Integration
> **OTLP** = OpenTelemetry Protocol
### 5.4.1 Find OpenTelemetry Module
```cmake
# cmake/FindOpenTelemetry.cmake
# Find OpenTelemetry C++ SDK
#
# This module defines:
# OpenTelemetry_FOUND - System has OpenTelemetry
# OpenTelemetry::api - API library target
# OpenTelemetry::sdk - SDK library target
# OpenTelemetry::otlp_grpc_exporter - OTLP gRPC exporter target
# OpenTelemetry::otlp_http_exporter - OTLP HTTP exporter target
find_package(opentelemetry-cpp CONFIG QUIET)
if(opentelemetry-cpp_FOUND)
set(OpenTelemetry_FOUND TRUE)
# Create imported targets if not already created by config
if(NOT TARGET OpenTelemetry::api)
add_library(OpenTelemetry::api ALIAS opentelemetry-cpp::api)
endif()
if(NOT TARGET OpenTelemetry::sdk)
add_library(OpenTelemetry::sdk ALIAS opentelemetry-cpp::sdk)
endif()
if(NOT TARGET OpenTelemetry::otlp_grpc_exporter)
add_library(OpenTelemetry::otlp_grpc_exporter ALIAS
opentelemetry-cpp::otlp_grpc_exporter)
endif()
else()
# Try pkg-config fallback
find_package(PkgConfig QUIET)
if(PKG_CONFIG_FOUND)
pkg_check_modules(OTEL opentelemetry-cpp QUIET)
if(OTEL_FOUND)
set(OpenTelemetry_FOUND TRUE)
# Create imported targets from pkg-config
add_library(OpenTelemetry::api INTERFACE IMPORTED)
target_include_directories(OpenTelemetry::api INTERFACE
${OTEL_INCLUDE_DIRS})
endif()
endif()
endif()
include(FindPackageHandleStandardArgs)
find_package_handle_standard_args(OpenTelemetry
REQUIRED_VARS OpenTelemetry_FOUND)
```
### 5.4.2 CMakeLists.txt Changes
```cmake
# CMakeLists.txt (additions)
# ═══════════════════════════════════════════════════════════════════════════════
# TELEMETRY OPTIONS
# ═══════════════════════════════════════════════════════════════════════════════
option(XRPL_ENABLE_TELEMETRY
"Enable OpenTelemetry distributed tracing support" OFF)
if(XRPL_ENABLE_TELEMETRY)
find_package(OpenTelemetry REQUIRED)
# Define compile-time flag
add_compile_definitions(XRPL_ENABLE_TELEMETRY)
message(STATUS "OpenTelemetry tracing: ENABLED")
else()
message(STATUS "OpenTelemetry tracing: DISABLED")
endif()
# ═══════════════════════════════════════════════════════════════════════════════
# TELEMETRY LIBRARY
# ═══════════════════════════════════════════════════════════════════════════════
if(XRPL_ENABLE_TELEMETRY)
add_library(xrpl_telemetry
src/libxrpl/telemetry/Telemetry.cpp
src/libxrpl/telemetry/TelemetryConfig.cpp
src/libxrpl/telemetry/TraceContext.cpp
)
target_include_directories(xrpl_telemetry
PUBLIC
${CMAKE_CURRENT_SOURCE_DIR}/include
)
target_link_libraries(xrpl_telemetry
PUBLIC
OpenTelemetry::api
OpenTelemetry::sdk
OpenTelemetry::otlp_grpc_exporter
PRIVATE
xrpl_basics
)
# Add to main library dependencies
target_link_libraries(xrpld PRIVATE xrpl_telemetry)
else()
# Create null implementation library
add_library(xrpl_telemetry
src/libxrpl/telemetry/NullTelemetry.cpp
)
target_include_directories(xrpl_telemetry
PUBLIC ${CMAKE_CURRENT_SOURCE_DIR}/include
)
endif()
```
---
## 5.5 OpenTelemetry Collector Configuration
> **OTLP** = OpenTelemetry Protocol | **APM** = Application Performance Monitoring
### 5.5.1 Development Configuration
```yaml
# otel-collector-dev.yaml
# Minimal configuration for local development
receivers:
otlp:
protocols:
grpc:
endpoint: 0.0.0.0:4317
http:
endpoint: 0.0.0.0:4318
processors:
batch:
timeout: 1s
send_batch_size: 100
exporters:
# Console output for debugging
logging:
verbosity: detailed
sampling_initial: 5
sampling_thereafter: 200
# Tempo for trace storage
otlp/tempo:
endpoint: tempo:4317
tls:
insecure: true
service:
pipelines:
traces:
receivers: [otlp]
processors: [batch]
exporters: [logging, otlp/tempo]
```
### 5.5.2 Production Configuration
```yaml
# otel-collector-prod.yaml
# Production configuration with filtering, sampling, and multiple backends
receivers:
otlp:
protocols:
grpc:
endpoint: 0.0.0.0:4317
tls:
cert_file: /etc/otel/server.crt
key_file: /etc/otel/server.key
ca_file: /etc/otel/ca.crt
processors:
# Memory limiter to prevent OOM
memory_limiter:
check_interval: 1s
limit_mib: 1000
spike_limit_mib: 200
# Batch processing for efficiency
batch:
timeout: 5s
send_batch_size: 512
send_batch_max_size: 1024
# Tail-based sampling (keep errors and slow traces)
tail_sampling:
decision_wait: 10s
num_traces: 100000
expected_new_traces_per_sec: 1000
policies:
# Always keep error traces
- name: errors
type: status_code
status_code:
status_codes: [ERROR]
# Keep slow consensus rounds (>5s)
- name: slow-consensus
type: latency
latency:
threshold_ms: 5000
# Keep slow RPC requests (>1s)
- name: slow-rpc
type: and
and:
and_sub_policy:
- name: rpc-spans
type: string_attribute
string_attribute:
key: command
values: [".*"]
enabled_regex_matching: true
- name: latency
type: latency
latency:
threshold_ms: 1000
# Probabilistic sampling for the rest
- name: probabilistic
type: probabilistic
probabilistic:
sampling_percentage: 10
# Attribute processing
attributes:
actions:
# Hash sensitive data
- key: xrpl.tx.account
action: hash
# Add deployment info
- key: deployment.environment
value: production
action: upsert
exporters:
# Grafana Tempo for long-term storage
otlp/tempo:
endpoint: tempo.monitoring:4317
tls:
insecure: false
ca_file: /etc/otel/tempo-ca.crt
# Elastic APM for correlation with logs
otlp/elastic:
endpoint: apm.elastic:8200
headers:
Authorization: "Bearer ${ELASTIC_APM_TOKEN}"
extensions:
health_check:
endpoint: 0.0.0.0:13133
zpages:
endpoint: 0.0.0.0:55679
service:
extensions: [health_check, zpages]
pipelines:
traces:
receivers: [otlp]
processors: [memory_limiter, tail_sampling, attributes, batch]
exporters: [otlp/tempo, otlp/elastic]
```
---
## 5.6 Docker Compose Development Environment
> **OTLP** = OpenTelemetry Protocol
```yaml
# docker-compose-telemetry.yaml
version: "3.8"
services:
# OpenTelemetry Collector
otel-collector:
image: otel/opentelemetry-collector-contrib:0.92.0
container_name: otel-collector
command: ["--config=/etc/otel-collector-config.yaml"]
volumes:
- ./otel-collector-dev.yaml:/etc/otel-collector-config.yaml:ro
ports:
- "4317:4317" # OTLP gRPC
- "4318:4318" # OTLP HTTP
- "13133:13133" # Health check
depends_on:
- tempo
# Tempo for trace storage
tempo:
image: grafana/tempo:2.6.1
container_name: tempo
ports:
- "3200:3200" # Tempo HTTP API
- "4317" # OTLP gRPC (internal)
# Grafana for dashboards
grafana:
image: grafana/grafana:10.2.3
container_name: grafana
environment:
- GF_AUTH_ANONYMOUS_ENABLED=true
- GF_AUTH_ANONYMOUS_ORG_ROLE=Admin
volumes:
- ./grafana/provisioning:/etc/grafana/provisioning:ro
- ./grafana/dashboards:/var/lib/grafana/dashboards:ro
ports:
- "3000:3000"
depends_on:
- tempo
# Prometheus for metrics (optional, for correlation)
prometheus:
image: prom/prometheus:v2.48.1
container_name: prometheus
volumes:
- ./prometheus.yaml:/etc/prometheus/prometheus.yml:ro
ports:
- "9090:9090"
networks:
default:
name: xrpld-telemetry
```
---
## 5.7 Configuration Architecture
> **OTLP** = OpenTelemetry Protocol
```mermaid
flowchart TB
subgraph config["Configuration Sources"]
cfgFile["xrpld.cfg<br/>[telemetry] section"]
cmake["CMake<br/>XRPL_ENABLE_TELEMETRY"]
end
subgraph init["Initialization"]
parse["setup_Telemetry()"]
factory["make_Telemetry()"]
end
subgraph runtime["Runtime Components"]
tracer["TracerProvider"]
exporter["OTLP Exporter"]
processor["BatchProcessor"]
end
subgraph collector["Collector Pipeline"]
recv["Receivers"]
proc["Processors"]
exp["Exporters"]
end
cfgFile --> parse
cmake -->|"compile flag"| parse
parse --> factory
factory --> tracer
tracer --> processor
processor --> exporter
exporter -->|"OTLP"| recv
recv --> proc
proc --> exp
style config fill:#e3f2fd,stroke:#1976d2
style runtime fill:#e8f5e9,stroke:#388e3c
style collector fill:#fff3e0,stroke:#ff9800
```
**Reading the diagram:**
- **Configuration Sources**: `xrpld.cfg` provides runtime settings (endpoint, sampling) while the CMake flag controls whether telemetry is compiled in at all.
- **Initialization**: `setup_Telemetry()` parses config values, then `make_Telemetry()` constructs the provider, processor, and exporter objects.
- **Runtime Components**: The `TracerProvider` creates spans, the `BatchProcessor` buffers them, and the `OTLP Exporter` serializes and sends them over the wire.
- **OTLP arrow to Collector**: Trace data leaves the xrpld process via OTLP (gRPC or HTTP) and enters the external Collector pipeline.
- **Collector Pipeline**: `Receivers` ingest OTLP data, `Processors` apply sampling/filtering/enrichment, and `Exporters` forward traces to storage backends (Tempo, etc.).
---
## 5.8 Grafana Integration
> **APM** = Application Performance Monitoring
Step-by-step instructions for integrating xrpld traces with Grafana.
### 5.8.1 Data Source Configuration
#### Tempo (Recommended)
```yaml
# grafana/provisioning/datasources/tempo.yaml
apiVersion: 1
datasources:
- name: Tempo
type: tempo
access: proxy
url: http://tempo:3200
jsonData:
httpMethod: GET
tracesToLogs:
datasourceUid: loki
tags: ["service.name", "xrpl.tx.hash"]
mappedTags: [{ key: "trace_id", value: "traceID" }]
mapTagNamesEnabled: true
filterByTraceID: true
serviceMap:
datasourceUid: prometheus
nodeGraph:
enabled: true
search:
hide: false
lokiSearch:
datasourceUid: loki
```
#### Elastic APM
```yaml
# grafana/provisioning/datasources/elastic-apm.yaml
apiVersion: 1
datasources:
- name: Elasticsearch-APM
type: elasticsearch
access: proxy
url: http://elasticsearch:9200
database: "apm-*"
jsonData:
esVersion: "8.0.0"
timeField: "@timestamp"
logMessageField: message
logLevelField: log.level
```
### 5.8.2 Dashboard Provisioning
```yaml
# grafana/provisioning/dashboards/dashboards.yaml
apiVersion: 1
providers:
- name: "xrpld-dashboards"
orgId: 1
folder: "xrpld"
folderUid: "xrpld"
type: file
disableDeletion: false
updateIntervalSeconds: 30
options:
path: /var/lib/grafana/dashboards/rippled
```
### 5.8.3 Example Dashboard: RPC Performance
```json
{
"title": "xrpld RPC Performance",
"uid": "xrpld-rpc-performance",
"panels": [
{
"title": "RPC Latency by Command",
"type": "heatmap",
"datasource": "Tempo",
"targets": [
{
"queryType": "traceql",
"query": "{resource.service.name=\"xrpld\" && span.command != \"\"} | histogram_over_time(duration) by (span.command)"
}
],
"gridPos": { "h": 8, "w": 12, "x": 0, "y": 0 }
},
{
"title": "RPC Error Rate",
"type": "timeseries",
"datasource": "Tempo",
"targets": [
{
"queryType": "traceql",
"query": "{resource.service.name=\"xrpld\" && status.code=error} | rate() by (span.command)"
}
],
"gridPos": { "h": 8, "w": 12, "x": 12, "y": 0 }
},
{
"title": "Top 10 Slowest RPC Commands",
"type": "table",
"datasource": "Tempo",
"targets": [
{
"queryType": "traceql",
"query": "{resource.service.name=\"xrpld\" && span.command != \"\"} | avg(duration) by (span.command) | topk(10)"
}
],
"gridPos": { "h": 8, "w": 24, "x": 0, "y": 8 }
},
{
"title": "Recent Traces",
"type": "table",
"datasource": "Tempo",
"targets": [
{
"queryType": "traceql",
"query": "{resource.service.name=\"xrpld\"}"
}
],
"gridPos": { "h": 8, "w": 24, "x": 0, "y": 16 }
}
]
}
```
### 5.8.4 Example Dashboard: Transaction Tracing
```json
{
"title": "xrpld Transaction Tracing",
"uid": "xrpld-tx-tracing",
"panels": [
{
"title": "Transaction Throughput",
"type": "stat",
"datasource": "Tempo",
"targets": [
{
"queryType": "traceql",
"query": "{resource.service.name=\"xrpld\" && name=\"tx.receive\"} | rate()"
}
],
"gridPos": { "h": 4, "w": 6, "x": 0, "y": 0 }
},
{
"title": "Cross-Node Relay Count",
"type": "timeseries",
"datasource": "Tempo",
"targets": [
{
"queryType": "traceql",
"query": "{resource.service.name=\"xrpld\" && name=\"tx.relay\"} | avg(span.xrpl.tx.relay_count)"
}
],
"gridPos": { "h": 8, "w": 12, "x": 0, "y": 4 }
},
{
"title": "Transaction Validation Errors",
"type": "table",
"datasource": "Tempo",
"targets": [
{
"queryType": "traceql",
"query": "{resource.service.name=\"xrpld\" && name=\"tx.validate\" && status.code=error}"
}
],
"gridPos": { "h": 8, "w": 12, "x": 12, "y": 4 }
}
]
}
```
### 5.8.5 TraceQL Query Examples
Common queries for xrpld traces:
```
# Find all traces for a specific transaction hash
{resource.service.name="xrpld" && span.xrpl.tx.hash="ABC123..."}
# Find slow RPC commands (>100ms)
{resource.service.name="xrpld" && name=~"rpc.command.*"} | duration > 100ms
# Find consensus rounds taking >5 seconds
{resource.service.name="xrpld" && name="consensus.round"} | duration > 5s
# Find failed transactions with error details
{resource.service.name="xrpld" && name="tx.validate" && status.code=error}
# Find transactions relayed to many peers
{resource.service.name="xrpld" && name="tx.relay"} | span.xrpl.tx.relay_count > 10
# Compare latency across nodes
{resource.service.name="xrpld" && name="rpc.command.account_info"} | avg(duration) by (resource.service.instance.id)
```
### 5.8.6 Correlation with PerfLog
To correlate OpenTelemetry traces with existing PerfLog data:
**Step 1: Configure Loki to ingest PerfLog**
```yaml
# promtail-config.yaml
scrape_configs:
- job_name: xrpld-perflog
static_configs:
- targets:
- localhost
labels:
job: xrpld
__path__: /var/log/rippled/perf*.log
pipeline_stages:
- json:
expressions:
trace_id: trace_id
ledger_seq: ledger_seq
tx_hash: tx_hash
- labels:
trace_id:
ledger_seq:
tx_hash:
```
**Step 2: Add trace_id to PerfLog entries**
Modify PerfLog to include trace_id when available:
```cpp
// In PerfLog output, add trace_id from current span context
void logPerf(Json::Value& entry) {
auto span = opentelemetry::trace::GetSpan(
opentelemetry::context::RuntimeContext::GetCurrent());
if (span && span->GetContext().IsValid()) {
char traceIdHex[33];
span->GetContext().trace_id().ToLowerBase16(traceIdHex);
entry["trace_id"] = std::string(traceIdHex, 32);
}
// ... existing logging
}
```
**Step 3: Configure Grafana trace-to-logs link**
In Tempo data source configuration, set up the derived field:
```yaml
jsonData:
tracesToLogs:
datasourceUid: loki
tags: ["trace_id", "xrpl.tx.hash"]
filterByTraceID: true
filterBySpanID: false
```
### 5.8.7 Correlation with Insight/StatsD Metrics
To correlate traces with existing Beast Insight metrics:
**Step 1: Export Insight metrics to Prometheus**
```yaml
# prometheus.yaml
scrape_configs:
- job_name: "xrpld-statsd"
static_configs:
- targets: ["statsd-exporter:9102"]
```
**Step 2: Add exemplars to metrics**
OpenTelemetry SDK automatically adds exemplars (trace IDs) to metrics when using the Prometheus exporter. This links metrics spikes to specific traces.
**Step 3: Configure Grafana metric-to-trace link**
```yaml
# In Prometheus data source
jsonData:
exemplarTraceIdDestinations:
- name: trace_id
datasourceUid: tempo
```
**Step 4: Dashboard panel with exemplars**
```json
{
"title": "RPC Latency with Trace Links",
"type": "timeseries",
"datasource": "Prometheus",
"targets": [
{
"expr": "histogram_quantile(0.99, rate(xrpld_rpc_duration_seconds_bucket[5m]))",
"exemplar": true
}
]
}
```
This allows clicking on metric data points to jump directly to the related trace.
---
_Previous: [Code Samples](./04-code-samples.md)_ | _Next: [Implementation Phases](./06-implementation-phases.md)_ | _Back to: [Overview](./OpenTelemetryPlan.md)_

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@@ -1,575 +0,0 @@
# Implementation Phases
> **Parent Document**: [OpenTelemetryPlan.md](./OpenTelemetryPlan.md)
> **Related**: [Configuration Reference](./05-configuration-reference.md) | [Observability Backends](./07-observability-backends.md)
---
## 6.1 Phase Overview
> **TxQ** = Transaction Queue
```mermaid
gantt
title OpenTelemetry Implementation Timeline
dateFormat YYYY-MM-DD
axisFormat Week %W
section Phase 1
Core Infrastructure :p1, 2024-01-01, 2w
SDK Integration :p1a, 2024-01-01, 4d
Telemetry Interface :p1b, after p1a, 3d
Configuration & CMake :p1c, after p1b, 3d
Unit Tests :p1d, after p1c, 2d
Buffer & Integration :p1e, after p1d, 2d
section Phase 2
RPC Tracing :p2, after p1, 2w
HTTP Context Extraction :p2a, after p1, 2d
RPC Handler Instrumentation :p2b, after p2a, 4d
PathFinding Instrumentation :p2f, after p2b, 2d
TxQ Instrumentation :p2g, after p2f, 2d
WebSocket Support :p2c, after p2g, 2d
Integration Tests :p2d, after p2c, 2d
Buffer & Review :p2e, after p2d, 4d
section Phase 3
Transaction Tracing :p3, after p2, 2w
Protocol Buffer Extension :p3a, after p2, 2d
PeerImp Instrumentation :p3b, after p3a, 3d
Fee Escalation Instrumentation :p3f, after p3b, 2d
Relay Context Propagation :p3c, after p3f, 3d
Multi-node Tests :p3d, after p3c, 2d
Buffer & Review :p3e, after p3d, 4d
section Phase 4
Consensus Tracing :p4, after p3, 2w
Consensus Round Spans :p4a, after p3, 3d
Proposal Handling :p4b, after p4a, 3d
Validator List & Manifest Tracing :p4f, after p4b, 2d
Amendment Voting Tracing :p4g, after p4f, 2d
SHAMap Sync Tracing :p4h, after p4g, 2d
Validation Tests :p4c, after p4h, 4d
Buffer & Review :p4e, after p4c, 4d
section Phase 5
Documentation & Deploy :p5, after p4, 1w
```
---
## 6.2 Phase 1: Core Infrastructure (Weeks 1-2)
**Objective**: Establish foundational telemetry infrastructure
### Tasks
| Task | Description |
| ---- | ----------------------------------------------------- |
| 1.1 | Add OpenTelemetry C++ SDK to Conan/CMake |
| 1.2 | Implement `Telemetry` interface and factory |
| 1.3 | Implement `SpanGuard` RAII wrapper |
| 1.4 | Implement configuration parser |
| 1.5 | Integrate into `ApplicationImp` |
| 1.6 | Add conditional compilation (`XRPL_ENABLE_TELEMETRY`) |
| 1.7 | Create `NullTelemetry` no-op implementation |
| 1.8 | Unit tests for core infrastructure |
### Exit Criteria
- [ ] OpenTelemetry SDK compiles and links
- [ ] Telemetry can be enabled/disabled via config
- [ ] Basic span creation works
- [ ] No performance regression when disabled
- [ ] Unit tests passing
---
## 6.3 Phase 2: RPC Tracing (Weeks 3-4)
> **TxQ** = Transaction Queue
**Objective**: Complete tracing for all RPC operations
### Tasks
| Task | Description |
| ---- | -------------------------------------------------------------------------- |
| 2.1 | Implement W3C Trace Context HTTP header extraction |
| 2.2 | Instrument `ServerHandler::onRequest()` |
| 2.3 | Instrument `RPCHandler::doCommand()` |
| 2.4 | Add RPC-specific attributes |
| 2.5 | Instrument WebSocket handler |
| 2.6 | PathFinding instrumentation (`pathfind.request`, `pathfind.compute` spans) |
| 2.7 | TxQ instrumentation (`txq.enqueue`, `txq.apply` spans) |
| 2.8 | Integration tests for RPC tracing |
| 2.9 | Performance benchmarks |
| 2.10 | Documentation |
### Exit Criteria
- [ ] All RPC commands traced
- [ ] Trace context propagates from HTTP headers
- [ ] WebSocket and HTTP both instrumented
- [ ] <1ms overhead per RPC call
- [ ] Integration tests passing
---
## 6.4 Phase 3: Transaction Tracing (Weeks 5-6)
**Objective**: Trace transaction lifecycle across network
### Tasks
| Task | Description |
| ---- | ---------------------------------------------------- |
| 3.1 | Define `TraceContext` Protocol Buffer message |
| 3.2 | Implement protobuf context serialization |
| 3.3 | Instrument `PeerImp::handleTransaction()` |
| 3.4 | Instrument `NetworkOPs::submitTransaction()` |
| 3.5 | Instrument HashRouter integration |
| 3.6 | Fee escalation instrumentation (`fee.escalate` span) |
| 3.7 | Implement relay context propagation |
| 3.8 | Integration tests (multi-node) |
| 3.9 | Performance benchmarks |
### Exit Criteria
- [ ] Transaction traces span across nodes
- [ ] Trace context in Protocol Buffer messages
- [ ] HashRouter deduplication visible in traces
- [ ] Multi-node integration tests passing
- [ ] <5% overhead on transaction throughput
---
## 6.5 Phase 4: Consensus Tracing (Weeks 7-8)
**Objective**: Full observability into consensus rounds
### Tasks
| Task | Description |
| ---- | ---------------------------------------------- |
| 4.1 | Instrument `RCLConsensusAdaptor::startRound()` |
| 4.2 | Instrument phase transitions |
| 4.3 | Instrument proposal handling |
| 4.4 | Instrument validation handling |
| 4.5 | Add consensus-specific attributes |
| 4.6 | Correlate with transaction traces |
| 4.7 | Validator list and manifest tracing |
| 4.8 | Amendment voting tracing |
| 4.9 | SHAMap sync tracing |
| 4.10 | Multi-validator integration tests |
| 4.11 | Performance validation |
### Exit Criteria
- [ ] Complete consensus round traces
- [ ] Phase transitions visible
- [ ] Proposals and validations traced
- [ ] No impact on consensus timing
- [ ] Multi-validator test network validated
### Implementation Status — Phase 4a Plan
Phase 4a (establish-phase gap fill & cross-node correlation) will add:
- **Deterministic trace ID** derived from `previousLedger.id()` so all validators
in the same round share the same `trace_id` (switchable via
`consensus_trace_strategy` config: `"deterministic"` or `"attribute"`).
See [Configuration Reference](./05-configuration-reference.md) for full
configuration options.
- **Round lifecycle spans**: `consensus.round` with round-to-round span links.
- **Establish phase**: `consensus.establish`, `consensus.update_positions` (with
`dispute.resolve` events), `consensus.check` (with threshold tracking).
- **Mode changes**: `consensus.mode_change` spans.
- **Validation**: `consensus.validation.send` with span link to round span
(thread-safe cross-thread access via `roundSpanContext_` snapshot).
- **Separation of concerns**: telemetry extracted to private helpers
(`startRoundTracing`, `createValidationSpan`, `startEstablishTracing`,
`updateEstablishTracing`, `endEstablishTracing`).
The `Phase4_taskList.md` spec document is introduced in the Phase 2 PR (#6424)
and will contain the full task breakdown and implementation notes.
---
## 6.6 Phase 5: Documentation & Deployment (Week 9)
**Objective**: Production readiness
### Tasks
| Task | Description |
| ---- | ----------------------------- |
| 5.1 | Operator runbook |
| 5.2 | Grafana dashboards |
| 5.3 | Alert definitions |
| 5.4 | Collector deployment examples |
| 5.5 | Developer documentation |
| 5.6 | Training materials |
| 5.7 | Final integration testing |
---
## 6.7 Risk Assessment
```mermaid
quadrantChart
title Risk Assessment Matrix
x-axis Low Impact --> High Impact
y-axis Low Likelihood --> High Likelihood
quadrant-1 Mitigate Immediately
quadrant-2 Plan Mitigation
quadrant-3 Accept Risk
quadrant-4 Monitor Closely
SDK Compat: [0.2, 0.18]
Protocol Chg: [0.75, 0.72]
Perf Overhead: [0.58, 0.42]
Context Prop: [0.4, 0.55]
Memory Leaks: [0.85, 0.25]
```
### Risk Details
| Risk | Likelihood | Impact | Mitigation |
| ------------------------------------ | ---------- | ------ | --------------------------------------- |
| Protocol changes break compatibility | Medium | High | Use high field numbers, optional fields |
| Performance overhead unacceptable | Medium | Medium | Sampling, conditional compilation |
| Context propagation complexity | Medium | Medium | Phased rollout, extensive testing |
| SDK compatibility issues | Low | Medium | Pin SDK version, fallback to no-op |
| Memory leaks in long-running nodes | Low | High | Memory profiling, bounded queues |
---
## 6.8 Success Metrics
| Metric | Target | Measurement |
| ------------------------ | -------------------------------------------------------------- | --------------------- |
| Trace coverage | >95% of transaction code paths (independent of sampling ratio) | Sampling verification |
| CPU overhead | <3% | Benchmark tests |
| Memory overhead | <10 MB | Memory profiling |
| Latency impact (p99) | <2% | Performance tests |
| Trace completeness | >99% spans with required attrs | Validation script |
| Cross-node trace linkage | >90% of multi-hop transactions | Integration tests |
---
## 6.9 Quick Wins and Crawl-Walk-Run Strategy
> **TxQ** = Transaction Queue
This section outlines a prioritized approach to maximize ROI with minimal initial investment.
### 6.9.1 Crawl-Walk-Run Overview
<div align="center">
```mermaid
flowchart TB
subgraph crawl["🐢 CRAWL (Week 1-2)"]
direction LR
c1[Core SDK Setup] ~~~ c2[RPC Tracing Only] ~~~ c3[PathFinding + TxQ Tracing] ~~~ c4[Single Node]
end
subgraph walk["🚶 WALK (Week 3-5)"]
direction LR
w1[Transaction Tracing] ~~~ w2[Fee Escalation Tracing] ~~~ w3[Cross-Node Context] ~~~ w4[Basic Dashboards]
end
subgraph run["🏃 RUN (Week 6-9)"]
direction LR
r1[Consensus Tracing] ~~~ r2[Validator, Amendment,<br/>SHAMap Tracing] ~~~ r3[Full Correlation] ~~~ r4[Production Deploy]
end
crawl --> walk --> run
style crawl fill:#1b5e20,stroke:#0d3d14,color:#fff
style walk fill:#bf360c,stroke:#8c2809,color:#fff
style run fill:#0d47a1,stroke:#082f6a,color:#fff
style c1 fill:#1b5e20,stroke:#0d3d14,color:#fff
style c2 fill:#1b5e20,stroke:#0d3d14,color:#fff
style c3 fill:#1b5e20,stroke:#0d3d14,color:#fff
style c4 fill:#1b5e20,stroke:#0d3d14,color:#fff
style w1 fill:#ffe0b2,stroke:#ffcc80,color:#1e293b
style w2 fill:#ffe0b2,stroke:#ffcc80,color:#1e293b
style w3 fill:#ffe0b2,stroke:#ffcc80,color:#1e293b
style w4 fill:#ffe0b2,stroke:#ffcc80,color:#1e293b
style r1 fill:#0d47a1,stroke:#082f6a,color:#fff
style r2 fill:#0d47a1,stroke:#082f6a,color:#fff
style r3 fill:#0d47a1,stroke:#082f6a,color:#fff
style r4 fill:#0d47a1,stroke:#082f6a,color:#fff
```
</div>
**Reading the diagram:**
- **CRAWL (Weeks 1-2)**: Minimal investment -- set up the SDK, instrument RPC and PathFinding/TxQ handlers, and verify on a single node. Delivers immediate latency visibility.
- **WALK (Weeks 3-5)**: Expand to transaction lifecycle tracing, fee escalation, cross-node context propagation, and basic Grafana dashboards. This is where distributed tracing starts working.
- **RUN (Weeks 6-9)**: Full consensus instrumentation, validator/amendment/SHAMap tracing, end-to-end correlation, and production deployment with sampling and alerting.
- **Arrows (crawl → walk → run)**: Each phase builds on the prior one; you cannot skip ahead because later phases depend on infrastructure established earlier.
### 6.9.2 Quick Wins (Immediate Value)
| Quick Win | Value | When to Deploy |
| ------------------------------ | ------ | -------------- |
| **RPC Command Tracing** | High | Week 2 |
| **RPC Latency Histograms** | High | Week 2 |
| **Error Rate Dashboard** | Medium | Week 2 |
| **Transaction Submit Tracing** | High | Week 3 |
| **Consensus Round Duration** | Medium | Week 6 |
### 6.9.3 CRAWL Phase (Weeks 1-2)
**Goal**: Get basic tracing working with minimal code changes.
**What You Get**:
- RPC request/response traces for all commands
- Latency breakdown per RPC command
- PathFinding and TxQ tracing (directly impacts RPC latency)
- Error visibility with stack traces
- Basic Grafana dashboard
**Code Changes**: ~15 lines in `ServerHandler.cpp`, ~40 lines in new telemetry module
**Why Start Here**:
- RPC is the lowest-risk, highest-visibility component
- PathFinding and TxQ are RPC-adjacent and directly affect latency
- Immediate value for debugging client issues
- No cross-node complexity
- Single file modification to existing code
### 6.9.4 WALK Phase (Weeks 3-5)
**Goal**: Add transaction lifecycle tracing across nodes.
**What You Get**:
- End-to-end transaction traces from submit to relay
- Fee escalation tracing within the transaction pipeline
- Cross-node correlation (see transaction path)
- HashRouter deduplication visibility
- Relay latency metrics
**Code Changes**: ~120 lines across 4 files, plus protobuf extension
**Why Do This Second**:
- Builds on RPC tracing (transactions submitted via RPC)
- Fee escalation is integral to the transaction processing pipeline
- Moderate complexity (requires context propagation)
- High value for debugging transaction issues
### 6.9.5 RUN Phase (Weeks 6-9)
**Goal**: Full observability including consensus.
**What You Get**:
- Complete consensus round visibility
- Phase transition timing
- Validator proposal tracking
- Validator list and manifest tracing
- Amendment voting tracing
- SHAMap sync tracing
- Full end-to-end traces (client → RPC → TX → consensus → ledger)
**Code Changes**: ~100 lines across 3 consensus files, plus validator/amendment/SHAMap modules
**Why Do This Last**:
- Highest complexity (consensus is critical path)
- Validator, amendment, and SHAMap components are lower priority
- Requires thorough testing
- Lower relative value (consensus issues are rarer)
### 6.9.6 ROI Prioritization Matrix
```mermaid
quadrantChart
title Implementation ROI Matrix
x-axis Low Effort --> High Effort
y-axis Low Value --> High Value
quadrant-1 Quick Wins - Do First
quadrant-2 Major Projects - Plan Carefully
quadrant-3 Nice to Have - Optional
quadrant-4 Time Sinks - Avoid
RPC Tracing: [0.15, 0.92]
TX Submit Trace: [0.3, 0.78]
TX Relay Trace: [0.5, 0.88]
Consensus Trace: [0.72, 0.72]
Peer Msg Trace: [0.85, 0.3]
Ledger Acquire: [0.55, 0.52]
```
---
## 6.10 Definition of Done
> **TxQ** = Transaction Queue | **HA** = High Availability
Clear, measurable criteria for each phase.
### 6.10.1 Phase 1: Core Infrastructure
| Criterion | Measurement | Target |
| --------------- | ---------------------------------------------------------- | ---------------------------- |
| SDK Integration | `cmake --build` succeeds with `-DXRPL_ENABLE_TELEMETRY=ON` | ✅ Compiles |
| Runtime Toggle | `enabled=0` produces zero overhead | <0.1% CPU difference |
| Span Creation | Unit test creates and exports span | Span appears in Tempo |
| Configuration | All config options parsed correctly | Config validation tests pass |
| Documentation | Developer guide exists | PR approved |
**Definition of Done**: All criteria met, PR merged, no regressions in CI.
### 6.10.2 Phase 2: RPC Tracing
| Criterion | Measurement | Target |
| ------------------ | ---------------------------------- | -------------------------- |
| Coverage | All RPC commands instrumented | 100% of commands |
| Context Extraction | traceparent header propagates | Integration test passes |
| Attributes | Command, status, duration recorded | Validation script confirms |
| Performance | RPC latency overhead | <1ms p99 |
| Dashboard | Grafana dashboard deployed | Screenshot in docs |
**Definition of Done**: RPC traces visible in Tempo for all commands, dashboard shows latency distribution.
### 6.10.3 Phase 3: Transaction Tracing
| Criterion | Measurement | Target |
| ---------------- | ------------------------------- | ---------------------------------- |
| Local Trace | Submit validate TxQ traced | Single-node test passes |
| Cross-Node | Context propagates via protobuf | Multi-node test passes |
| Relay Visibility | relay_count attribute correct | Spot check 100 txs |
| HashRouter | Deduplication visible in trace | Duplicate txs show suppressed=true |
| Performance | TX throughput overhead | <5% degradation |
**Definition of Done**: Transaction traces span 3+ nodes in test network, performance within bounds.
### 6.10.4 Phase 4: Consensus Tracing
| Criterion | Measurement | Target |
| -------------------- | ----------------------------- | ------------------------- |
| Round Tracing | startRound creates root span | Unit test passes |
| Phase Visibility | All phases have child spans | Integration test confirms |
| Proposer Attribution | Proposer ID in attributes | Spot check 50 rounds |
| Timing Accuracy | Phase durations match PerfLog | <5% variance |
| No Consensus Impact | Round timing unchanged | Performance test passes |
**Definition of Done**: Consensus rounds fully traceable, no impact on consensus timing.
### 6.10.5 Phase 5: Production Deployment
| Criterion | Measurement | Target |
| ------------ | ---------------------------- | -------------------------- |
| Collector HA | Multiple collectors deployed | No single point of failure |
| Sampling | Tail sampling configured | 10% base + errors + slow |
| Retention | Data retained per policy | 7 days hot, 30 days warm |
| Alerting | Alerts configured | Error spike, high latency |
| Runbook | Operator documentation | Approved by ops team |
| Training | Team trained | Session completed |
**Definition of Done**: Telemetry running in production, operators trained, alerts active.
### 6.10.6 Success Metrics Summary
| Phase | Primary Metric | Secondary Metric | Deadline |
| ------- | ---------------------- | --------------------------- | ------------- |
| Phase 1 | SDK compiles and runs | Zero overhead when disabled | End of Week 2 |
| Phase 2 | 100% RPC coverage | <1ms latency overhead | End of Week 4 |
| Phase 3 | Cross-node traces work | <5% throughput impact | End of Week 6 |
| Phase 4 | Consensus fully traced | No consensus timing impact | End of Week 8 |
| Phase 5 | Production deployment | Operators trained | End of Week 9 |
---
## 6.11 Recommended Implementation Order
Based on ROI analysis, implement in this exact order:
```mermaid
flowchart TB
subgraph week1["Week 1"]
t1[1. OpenTelemetry SDK<br/>Conan/CMake integration]
t2[2. Telemetry interface<br/>SpanGuard, config]
end
subgraph week2["Week 2"]
t3[3. RPC ServerHandler<br/>instrumentation]
t4[4. Basic Tempo setup<br/>for testing]
end
subgraph week3["Week 3"]
t5[5. Transaction submit<br/>tracing]
t6[6. Grafana dashboard<br/>v1]
end
subgraph week4["Week 4"]
t7[7. Protobuf context<br/>extension]
t8[8. PeerImp tx.relay<br/>instrumentation]
end
subgraph week5["Week 5"]
t9[9. Multi-node<br/>integration tests]
t10[10. Performance<br/>benchmarks]
end
subgraph week6_8["Weeks 6-8"]
t11[11. Consensus<br/>instrumentation]
t12[12. Full integration<br/>testing]
end
subgraph week9["Week 9"]
t13[13. Production<br/>deployment]
t14[14. Documentation<br/>& training]
end
t1 --> t2 --> t3 --> t4
t4 --> t5 --> t6
t6 --> t7 --> t8
t8 --> t9 --> t10
t10 --> t11 --> t12
t12 --> t13 --> t14
style week1 fill:#1b5e20,stroke:#0d3d14,color:#fff
style week2 fill:#1b5e20,stroke:#0d3d14,color:#fff
style week3 fill:#bf360c,stroke:#8c2809,color:#fff
style week4 fill:#bf360c,stroke:#8c2809,color:#fff
style week5 fill:#bf360c,stroke:#8c2809,color:#fff
style week6_8 fill:#0d47a1,stroke:#082f6a,color:#fff
style week9 fill:#4a148c,stroke:#2e0d57,color:#fff
style t1 fill:#1b5e20,stroke:#0d3d14,color:#fff
style t2 fill:#1b5e20,stroke:#0d3d14,color:#fff
style t3 fill:#1b5e20,stroke:#0d3d14,color:#fff
style t4 fill:#1b5e20,stroke:#0d3d14,color:#fff
style t5 fill:#ffe0b2,stroke:#ffcc80,color:#1e293b
style t6 fill:#ffe0b2,stroke:#ffcc80,color:#1e293b
style t7 fill:#ffe0b2,stroke:#ffcc80,color:#1e293b
style t8 fill:#ffe0b2,stroke:#ffcc80,color:#1e293b
style t9 fill:#ffe0b2,stroke:#ffcc80,color:#1e293b
style t10 fill:#ffe0b2,stroke:#ffcc80,color:#1e293b
style t11 fill:#0d47a1,stroke:#082f6a,color:#fff
style t12 fill:#0d47a1,stroke:#082f6a,color:#fff
style t13 fill:#4a148c,stroke:#2e0d57,color:#fff
style t14 fill:#4a148c,stroke:#2e0d57,color:#fff
```
**Reading the diagram:**
- **Week 1 (tasks 1-2)**: Foundation work -- integrate the OpenTelemetry SDK via Conan/CMake and build the `Telemetry` interface with `SpanGuard` and config parsing.
- **Week 2 (tasks 3-4)**: First observable output -- instrument `ServerHandler` for RPC tracing and stand up Tempo so developers can see traces immediately.
- **Weeks 3-5 (tasks 5-10)**: Transaction lifecycle -- add submit tracing, build the first Grafana dashboard, extend protobuf for cross-node context, instrument `PeerImp` relay, then validate with multi-node integration tests and performance benchmarks.
- **Weeks 6-8 (tasks 11-12)**: Consensus deep-dive -- instrument consensus rounds and phases, then run full integration testing across all instrumented paths.
- **Week 9 (tasks 13-14)**: Go-live -- deploy to production with sampling/alerting configured, and deliver documentation and operator training.
- **Arrow chain (t1 ... t14)**: Strict sequential dependency; each task's output is a prerequisite for the next.
---
_Previous: [Configuration Reference](./05-configuration-reference.md)_ | _Next: [Observability Backends](./07-observability-backends.md)_ | _Back to: [Overview](./OpenTelemetryPlan.md)_

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@@ -1,641 +0,0 @@
# Observability Backend Recommendations
> **Parent Document**: [OpenTelemetryPlan.md](./OpenTelemetryPlan.md)
> **Related**: [Implementation Phases](./06-implementation-phases.md) | [Appendix](./08-appendix.md)
---
## 7.1 Development/Testing Backends
> **OTLP** = OpenTelemetry Protocol
| Backend | Pros | Cons | Use Case |
| ---------- | ----------------------------------- | ---------------------- | ------------------- |
| **Tempo** | Cost-effective, Grafana integration | Requires Grafana stack | Local dev, CI, Prod |
| **Zipkin** | Simple, lightweight | Basic features | Quick prototyping |
### Quick Start with Tempo
```bash
# Start Tempo with OTLP support
docker run -d --name tempo \
-p 3200:3200 \
-p 4317:4317 \
-p 4318:4318 \
grafana/tempo:2.6.1
```
---
## 7.2 Production Backends
> **APM** = Application Performance Monitoring
| Backend | Pros | Cons | Use Case |
| ----------------- | ----------------------------------------- | ---------------------- | --------------------------- |
| **Grafana Tempo** | Cost-effective, Grafana integration | Requires Grafana stack | Most production deployments |
| **Elastic APM** | Full observability stack, log correlation | Resource intensive | Existing Elastic users |
| **Honeycomb** | Excellent query, high cardinality | SaaS cost | Deep debugging needs |
| **Datadog APM** | Full platform, easy setup | SaaS cost | Enterprise with budget |
### Backend Selection Flowchart
```mermaid
flowchart TD
start[Select Backend] --> budget{Budget<br/>Constraints?}
budget -->|Yes| oss[Open Source]
budget -->|No| saas{Prefer<br/>SaaS?}
oss --> existing{Existing<br/>Stack?}
existing -->|Grafana| tempo[Grafana Tempo]
existing -->|Elastic| elastic[Elastic APM]
existing -->|None| tempo
saas -->|Yes| enterprise{Enterprise<br/>Support?}
saas -->|No| oss
enterprise -->|Yes| datadog[Datadog APM]
enterprise -->|No| honeycomb[Honeycomb]
tempo --> final[Configure Collector]
elastic --> final
honeycomb --> final
datadog --> final
style start fill:#0f172a,stroke:#020617,color:#fff
style budget fill:#334155,stroke:#1e293b,color:#fff
style oss fill:#1e293b,stroke:#0f172a,color:#fff
style existing fill:#334155,stroke:#1e293b,color:#fff
style saas fill:#334155,stroke:#1e293b,color:#fff
style enterprise fill:#334155,stroke:#1e293b,color:#fff
style final fill:#0f172a,stroke:#020617,color:#fff
style tempo fill:#1b5e20,stroke:#0d3d14,color:#fff
style elastic fill:#bf360c,stroke:#8c2809,color:#fff
style honeycomb fill:#0d47a1,stroke:#082f6a,color:#fff
style datadog fill:#4a148c,stroke:#2e0d57,color:#fff
```
**Reading the diagram:**
- **Budget Constraints? (Yes)**: Leads to open-source options. If you already run Grafana or Elastic, pick the matching backend; otherwise default to Grafana Tempo.
- **Budget Constraints? (No) → Prefer SaaS?**: If you want a managed service, choose between Datadog (enterprise support) and Honeycomb (developer-focused). If not, fall back to open-source.
- **Terminal nodes (Tempo / Elastic / Honeycomb / Datadog)**: Each represents a concrete backend choice, all of which feed into the same final step.
- **Configure Collector**: Regardless of backend, you always finish by configuring the OTel Collector to export to your chosen destination.
---
## 7.3 Recommended Production Architecture
> **OTLP** = OpenTelemetry Protocol | **APM** = Application Performance Monitoring | **HA** = High Availability
```mermaid
flowchart TB
subgraph validators["Validator Nodes"]
v1[xrpld<br/>Validator 1]
v2[xrpld<br/>Validator 2]
end
subgraph stock["Stock Nodes"]
s1[xrpld<br/>Stock 1]
s2[xrpld<br/>Stock 2]
end
subgraph collector["OTel Collector Cluster"]
c1[Collector<br/>DC1]
c2[Collector<br/>DC2]
end
subgraph backends["Storage Backends"]
tempo[(Grafana<br/>Tempo)]
elastic[(Elastic<br/>APM)]
archive[(S3/GCS<br/>Archive)]
end
subgraph ui["Visualization"]
grafana[Grafana<br/>Dashboards]
end
v1 -->|OTLP| c1
v2 -->|OTLP| c1
s1 -->|OTLP| c2
s2 -->|OTLP| c2
c1 --> tempo
c1 --> elastic
c2 --> tempo
c2 --> archive
tempo --> grafana
elastic --> grafana
%% Note: simplified single-collector-per-DC topology shown for clarity
style validators fill:#b71c1c,stroke:#7f1d1d,color:#ffffff
style stock fill:#0d47a1,stroke:#082f6a,color:#ffffff
style collector fill:#bf360c,stroke:#8c2809,color:#ffffff
style backends fill:#1b5e20,stroke:#0d3d14,color:#ffffff
style ui fill:#4a148c,stroke:#2e0d57,color:#ffffff
```
**Reading the diagram:**
- **Validator / Stock Nodes**: All xrpld nodes emit trace data via OTLP. Validators and stock nodes are grouped separately because they may reside in different network zones.
- **Collector Cluster (DC1, DC2)**: Regional collectors receive OTLP from nodes in their datacenter, apply processing (sampling, enrichment), and fan out to multiple backends.
- **Storage Backends**: Tempo and Elastic provide queryable trace storage; S3/GCS Archive provides long-term cold storage for compliance or post-incident analysis.
- **Grafana Dashboards**: The single visualization layer that queries both Tempo and Elastic, giving operators a unified view of all traces.
- **Data flow direction**: Nodes → Collectors → Storage → Grafana. Each arrow represents a network hop; minimizing collector-to-backend hops reduces latency.
> **Note**: Production deployments should use multiple collector instances behind a load balancer for high availability. The diagram shows a simplified single-collector topology for clarity.
---
## 7.4 Architecture Considerations
### 7.4.1 Collector Placement
| Strategy | Description | Pros | Cons |
| ------------- | -------------------- | ------------------------ | ----------------------- |
| **Sidecar** | Collector per node | Isolation, simple config | Resource overhead |
| **DaemonSet** | Collector per host | Shared resources | Complexity |
| **Gateway** | Central collector(s) | Centralized processing | Single point of failure |
**Recommendation**: Use **Gateway** pattern with regional collectors for xrpld networks:
- One collector cluster per datacenter/region
- Tail-based sampling at collector level
- Multiple export destinations for redundancy
### 7.4.2 Sampling Strategy
```mermaid
flowchart LR
subgraph head["Head Sampling (Node)"]
hs[Node-level head sampling<br/>configurable, default: 100%<br/>recommended production: 10%]
end
subgraph tail["Tail Sampling (Collector)"]
ts1[Keep all errors]
ts2[Keep slow >5s]
ts3[Keep 10% rest]
end
head --> tail
ts1 --> final[Final Traces]
ts2 --> final
ts3 --> final
style head fill:#0d47a1,stroke:#082f6a,color:#fff
style tail fill:#1b5e20,stroke:#0d3d14,color:#fff
style hs fill:#0d47a1,stroke:#082f6a,color:#fff
style ts1 fill:#1b5e20,stroke:#0d3d14,color:#fff
style ts2 fill:#1b5e20,stroke:#0d3d14,color:#fff
style ts3 fill:#1b5e20,stroke:#0d3d14,color:#fff
style final fill:#bf360c,stroke:#8c2809,color:#fff
```
**Reading the diagram:**
- **Head Sampling (Node)**: The first filter -- each xrpld node decides whether to sample a trace at creation time (default 100%, recommended 10% in production). This controls the volume leaving the node.
- **Tail Sampling (Collector)**: The second filter -- the collector inspects completed traces and applies rules: keep all errors, keep anything slower than 5 seconds, and keep 10% of the remainder.
- **Arrow head → tail**: All head-sampled traces flow to the collector, where tail sampling further reduces volume while preserving the most valuable data.
- **Final Traces**: The output after both sampling stages; this is what gets stored and queried. The two-stage approach balances cost with debuggability.
### 7.4.3 Data Retention
| Environment | Hot Storage | Warm Storage | Cold Archive |
| ----------- | ----------- | ------------ | ------------ |
| Development | 24 hours | N/A | N/A |
| Staging | 7 days | N/A | N/A |
| Production | 7 days | 30 days | many years |
---
## 7.5 Integration Checklist
- [ ] Choose primary backend (Tempo recommended for cost/features)
- [ ] Deploy collector cluster with high availability
- [ ] Configure tail-based sampling for error/latency traces
- [ ] Set up Grafana dashboards for trace visualization
- [ ] Configure alerts for trace anomalies
- [ ] Establish data retention policies
- [ ] Test trace correlation with logs and metrics
---
## 7.6 Grafana Dashboard Examples
Pre-built dashboards for xrpld observability.
### 7.6.1 Consensus Health Dashboard
```json
{
"title": "xrpld Consensus Health",
"uid": "xrpld-consensus-health",
"tags": ["xrpld", "consensus", "tracing"],
"panels": [
{
"title": "Consensus Round Duration",
"type": "timeseries",
"datasource": "Tempo",
"targets": [
{
"queryType": "traceql",
"query": "{resource.service.name=\"xrpld\" && name=\"consensus.round\"} | avg(duration) by (resource.service.instance.id)"
}
],
"fieldConfig": {
"defaults": {
"unit": "ms",
"thresholds": {
"steps": [
{ "color": "green", "value": null },
{ "color": "yellow", "value": 4000 },
{ "color": "red", "value": 5000 }
]
}
}
},
"gridPos": { "h": 8, "w": 12, "x": 0, "y": 0 }
},
{
"title": "Phase Duration Breakdown",
"type": "barchart",
"datasource": "Tempo",
"targets": [
{
"queryType": "traceql",
"query": "{resource.service.name=\"xrpld\" && name=~\"consensus.phase.*\"} | avg(duration) by (name)"
}
],
"gridPos": { "h": 8, "w": 12, "x": 12, "y": 0 }
},
{
"title": "Proposers per Round",
"type": "stat",
"datasource": "Tempo",
"targets": [
{
"queryType": "traceql",
"query": "{resource.service.name=\"xrpld\" && name=\"consensus.round\"} | avg(span.xrpl.consensus.proposers)"
}
],
"gridPos": { "h": 4, "w": 6, "x": 0, "y": 8 }
},
{
"title": "Recent Slow Rounds (>5s)",
"type": "table",
"datasource": "Tempo",
"targets": [
{
"queryType": "traceql",
"query": "{resource.service.name=\"xrpld\" && name=\"consensus.round\"} | duration > 5s"
}
],
"gridPos": { "h": 8, "w": 24, "x": 0, "y": 12 }
}
]
}
```
### 7.6.2 Node Overview Dashboard
```json
{
"title": "xrpld Node Overview",
"uid": "xrpld-node-overview",
"panels": [
{
"title": "Active Nodes",
"type": "stat",
"datasource": "Tempo",
"targets": [
{
"queryType": "traceql",
"query": "{resource.service.name=\"xrpld\"} | count_over_time() by (resource.service.instance.id) | count()"
}
],
"gridPos": { "h": 4, "w": 4, "x": 0, "y": 0 }
},
{
"title": "Total Transactions (1h)",
"type": "stat",
"datasource": "Tempo",
"targets": [
{
"queryType": "traceql",
"query": "{resource.service.name=\"xrpld\" && name=\"tx.receive\"} | count()"
}
],
"gridPos": { "h": 4, "w": 4, "x": 4, "y": 0 }
},
{
"title": "Error Rate",
"type": "gauge",
"datasource": "Tempo",
"targets": [
{
"queryType": "traceql",
"query": "{resource.service.name=\"xrpld\" && status.code=error} | rate() / {resource.service.name=\"xrpld\"} | rate() * 100"
}
],
"fieldConfig": {
"defaults": {
"unit": "percent",
"max": 10,
"thresholds": {
"steps": [
{ "color": "green", "value": null },
{ "color": "yellow", "value": 1 },
{ "color": "red", "value": 5 }
]
}
}
},
"gridPos": { "h": 4, "w": 4, "x": 8, "y": 0 }
},
{
"title": "Service Map",
"type": "nodeGraph",
"datasource": "Tempo",
"gridPos": { "h": 12, "w": 12, "x": 12, "y": 0 }
}
]
}
```
### 7.6.3 Alert Rules
```yaml
# grafana/provisioning/alerting/rippled-alerts.yaml
apiVersion: 1
groups:
- name: xrpld-tracing-alerts
folder: xrpld
interval: 1m
rules:
- uid: consensus-slow
title: Consensus Round Slow
condition: A
data:
- refId: A
datasourceUid: tempo
model:
queryType: traceql
query: '{resource.service.name="xrpld" && name="consensus.round"} | avg(duration) > 5s'
# Note: Verify TraceQL aggregate queries are supported by your
# Tempo version. Aggregate alerting (e.g., avg(duration)) requires
# Tempo 2.3+ with TraceQL metrics enabled.
for: 5m
annotations:
summary: Consensus rounds taking >5 seconds
description: "Consensus duration: {{ $value }}ms"
labels:
severity: warning
- uid: rpc-error-spike
title: RPC Error Rate Spike
condition: B
data:
- refId: B
datasourceUid: tempo
model:
queryType: traceql
query: '{resource.service.name="xrpld" && name=~"rpc.command.*" && status.code=error} | rate() > 0.05'
# Note: Verify TraceQL aggregate queries are supported by your
# Tempo version. Aggregate alerting (e.g., rate()) requires
# Tempo 2.3+ with TraceQL metrics enabled.
for: 2m
annotations:
summary: RPC error rate >5%
labels:
severity: critical
- uid: tx-throughput-drop
title: Transaction Throughput Drop
condition: C
data:
- refId: C
datasourceUid: tempo
model:
queryType: traceql
query: '{resource.service.name="xrpld" && name="tx.receive"} | rate() < 10'
for: 10m
annotations:
summary: Transaction throughput below threshold
labels:
severity: warning
```
---
## 7.7 PerfLog and Insight Correlation
> **OTLP** = OpenTelemetry Protocol
How to correlate OpenTelemetry traces with existing xrpld observability.
### 7.7.1 Correlation Architecture
```mermaid
flowchart TB
subgraph xrpld["xrpld Node"]
otel[OpenTelemetry<br/>Spans]
perflog[PerfLog<br/>JSON Logs]
insight[Beast Insight<br/>StatsD Metrics]
end
subgraph collectors["Data Collection"]
otelc[OTel Collector]
promtail[Promtail/Fluentd]
statsd[StatsD Exporter]
end
subgraph storage["Storage"]
tempo[(Tempo)]
loki[(Loki)]
prom[(Prometheus)]
end
subgraph grafana["Grafana"]
traces[Trace View]
logs[Log View]
metrics[Metrics View]
corr[Correlation<br/>Panel]
end
otel -->|OTLP| otelc --> tempo
perflog -->|JSON| promtail --> loki
insight -->|StatsD| statsd --> prom
tempo --> traces
loki --> logs
prom --> metrics
traces --> corr
logs --> corr
metrics --> corr
style xrpld fill:#0d47a1,stroke:#082f6a,color:#fff
style collectors fill:#bf360c,stroke:#8c2809,color:#fff
style storage fill:#1b5e20,stroke:#0d3d14,color:#fff
style grafana fill:#4a148c,stroke:#2e0d57,color:#fff
style otel fill:#0d47a1,stroke:#082f6a,color:#fff
style perflog fill:#0d47a1,stroke:#082f6a,color:#fff
style insight fill:#0d47a1,stroke:#082f6a,color:#fff
style otelc fill:#bf360c,stroke:#8c2809,color:#fff
style promtail fill:#bf360c,stroke:#8c2809,color:#fff
style statsd fill:#bf360c,stroke:#8c2809,color:#fff
style tempo fill:#1b5e20,stroke:#0d3d14,color:#fff
style loki fill:#1b5e20,stroke:#0d3d14,color:#fff
style prom fill:#1b5e20,stroke:#0d3d14,color:#fff
style traces fill:#4a148c,stroke:#2e0d57,color:#fff
style logs fill:#4a148c,stroke:#2e0d57,color:#fff
style metrics fill:#4a148c,stroke:#2e0d57,color:#fff
style corr fill:#4a148c,stroke:#2e0d57,color:#fff
```
**Reading the diagram:**
- **xrpld Node (three sources)**: A single node emits three independent data streams -- OpenTelemetry spans, PerfLog JSON logs, and Beast Insight StatsD metrics.
- **Data Collection layer**: Each stream has its own collector -- OTel Collector for spans, Promtail/Fluentd for logs, and a StatsD exporter for metrics. They operate independently.
- **Storage layer (Tempo, Loki, Prometheus)**: Each data type lands in a purpose-built store optimized for its query patterns (trace search, log grep, metric aggregation).
- **Grafana Correlation Panel**: The key integration point -- Grafana queries all three stores and links them via shared fields (`trace_id`, `xrpl.tx.hash`, `ledger_seq`), enabling a single-pane debugging experience.
### 7.7.2 Correlation Fields
| Source | Field | Link To | Purpose |
| ----------- | --------------------------- | ------------- | -------------------------- |
| **Trace** | `trace_id` | Logs | Find log entries for trace |
| **Trace** | `xrpl.tx.hash` | Logs, Metrics | Find TX-related data |
| **Trace** | `xrpl.consensus.ledger.seq` | Logs | Find ledger-related logs |
| **PerfLog** | `trace_id` (new) | Traces | Jump to trace from log |
| **PerfLog** | `ledger_seq` | Traces | Find consensus trace |
| **Insight** | `exemplar.trace_id` | Traces | Jump from metric spike |
### 7.7.3 Example: Debugging a Slow Transaction
**Step 1: Find the trace**
```
# In Grafana Explore with Tempo
{resource.service.name="xrpld" && span.xrpl.tx.hash="ABC123..."}
```
**Step 2: Get the trace_id from the trace view**
```
Trace ID: 4bf92f3577b34da6a3ce929d0e0e4736
```
**Step 3: Find related PerfLog entries**
```
# In Grafana Explore with Loki
{job="xrpld"} |= "4bf92f3577b34da6a3ce929d0e0e4736"
```
**Step 4: Check Insight metrics for the time window**
```
# In Grafana with Prometheus
rate(xrpld_tx_applied_total[1m])
@ timestamp_from_trace
```
### 7.7.4 Unified Dashboard Example
```json
{
"title": "xrpld Unified Observability",
"uid": "xrpld-unified",
"panels": [
{
"title": "Transaction Latency (Traces)",
"type": "timeseries",
"datasource": "Tempo",
"targets": [
{
"queryType": "traceql",
"query": "{resource.service.name=\"xrpld\" && name=\"tx.receive\"} | histogram_over_time(duration)"
}
],
"gridPos": { "h": 6, "w": 8, "x": 0, "y": 0 }
},
{
"title": "Transaction Rate (Metrics)",
"type": "timeseries",
"datasource": "Prometheus",
"targets": [
{
"expr": "rate(xrpld_tx_received_total[5m])",
"legendFormat": "{{ instance }}"
}
],
"fieldConfig": {
"defaults": {
"links": [
{
"title": "View traces",
"url": "/explore?left={\"datasource\":\"Tempo\",\"query\":\"{resource.service.name=\\\"xrpld\\\" && name=\\\"tx.receive\\\"}\"}"
}
]
}
},
"gridPos": { "h": 6, "w": 8, "x": 8, "y": 0 }
},
{
"title": "Recent Logs",
"type": "logs",
"datasource": "Loki",
"targets": [
{
"expr": "{job=\"xrpld\"} | json"
}
],
"gridPos": { "h": 6, "w": 8, "x": 16, "y": 0 }
},
{
"title": "Trace Search",
"type": "table",
"datasource": "Tempo",
"targets": [
{
"queryType": "traceql",
"query": "{resource.service.name=\"xrpld\"}"
}
],
"fieldConfig": {
"overrides": [
{
"matcher": { "id": "byName", "options": "traceID" },
"properties": [
{
"id": "links",
"value": [
{
"title": "View trace",
"url": "/explore?left={\"datasource\":\"Tempo\",\"query\":\"${__value.raw}\"}"
},
{
"title": "View logs",
"url": "/explore?left={\"datasource\":\"Loki\",\"query\":\"{job=\\\"xrpld\\\"} |= \\\"${__value.raw}\\\"\"}"
}
]
}
]
}
]
},
"gridPos": { "h": 12, "w": 24, "x": 0, "y": 6 }
}
]
}
```
---
_Previous: [Implementation Phases](./06-implementation-phases.md)_ | _Next: [Appendix](./08-appendix.md)_ | _Back to: [Overview](./OpenTelemetryPlan.md)_

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@@ -1,196 +0,0 @@
# Appendix
> **Parent Document**: [OpenTelemetryPlan.md](./OpenTelemetryPlan.md)
> **Related**: [Observability Backends](./07-observability-backends.md)
---
## 8.1 Glossary
> **OTLP** = OpenTelemetry Protocol | **TxQ** = Transaction Queue
| Term | Definition |
| --------------------- | ---------------------------------------------------------- |
| **Span** | A unit of work with start/end time, name, and attributes |
| **Trace** | A collection of spans representing a complete request flow |
| **Trace ID** | 128-bit unique identifier for a trace |
| **Span ID** | 64-bit unique identifier for a span within a trace |
| **Context** | Carrier for trace/span IDs across boundaries |
| **Propagator** | Component that injects/extracts context |
| **Sampler** | Decides which traces to record |
| **Exporter** | Sends spans to backend |
| **Collector** | Receives, processes, and forwards telemetry |
| **OTLP** | OpenTelemetry Protocol (wire format) |
| **W3C Trace Context** | Standard HTTP headers for trace propagation |
| **Baggage** | Key-value pairs propagated across service boundaries |
| **Resource** | Entity producing telemetry (service, host, etc.) |
| **Instrumentation** | Code that creates telemetry data |
### xrpld-Specific Terms
| Term | Definition |
| ----------------- | ------------------------------------------------------------- |
| **Overlay** | P2P network layer managing peer connections |
| **Consensus** | XRP Ledger consensus algorithm (RCL) |
| **Proposal** | Validator's suggested transaction set for a ledger |
| **Validation** | Validator's signature on a closed ledger |
| **HashRouter** | Component for transaction deduplication |
| **JobQueue** | Thread pool for asynchronous task execution |
| **PerfLog** | Existing performance logging system in xrpld |
| **Beast Insight** | Existing metrics framework in xrpld |
| **PathFinding** | Payment path computation engine for cross-currency payments |
| **TxQ** | Transaction queue managing fee-based prioritization |
| **LoadManager** | Dynamic fee escalation based on network load |
| **SHAMap** | SHA-256 hash-based map (Merkle trie variant) for ledger state |
---
## 8.2 Span Hierarchy Visualization
> **TxQ** = Transaction Queue
```mermaid
flowchart TB
subgraph trace["Trace: Transaction Lifecycle"]
rpc["rpc.request<br/>(entry point)"]
validate["tx.validate"]
relay["tx.relay<br/>(parent span)"]
subgraph peers["Peer Spans"]
p1["peer.send<br/>Peer A"]
p2["peer.send<br/>Peer B"]
p3["peer.send<br/>Peer C"]
end
subgraph pathfinding["PathFinding Spans"]
pathfind["pathfind.request"]
pathcomp["pathfind.compute"]
end
consensus["consensus.round"]
apply["tx.apply"]
subgraph txqueue["TxQ Spans"]
txq["txq.enqueue"]
txqApply["txq.apply"]
end
feeCalc["fee.escalate"]
end
subgraph validators["Validator Spans"]
valFetch["validator.list.fetch"]
valManifest["validator.manifest"]
end
rpc --> validate
rpc --> pathfind
pathfind --> pathcomp
validate --> relay
relay --> p1
relay --> p2
relay --> p3
p1 -.->|"context propagation"| consensus
consensus --> apply
apply --> txq
txq --> txqApply
txq --> feeCalc
style trace fill:#0f172a,stroke:#020617,color:#fff
style peers fill:#1e3a8a,stroke:#172554,color:#fff
style pathfinding fill:#134e4a,stroke:#0f766e,color:#fff
style txqueue fill:#064e3b,stroke:#047857,color:#fff
style validators fill:#4c1d95,stroke:#6d28d9,color:#fff
style rpc fill:#1d4ed8,stroke:#1e40af,color:#fff
style validate fill:#047857,stroke:#064e3b,color:#fff
style relay fill:#047857,stroke:#064e3b,color:#fff
style p1 fill:#0e7490,stroke:#155e75,color:#fff
style p2 fill:#0e7490,stroke:#155e75,color:#fff
style p3 fill:#0e7490,stroke:#155e75,color:#fff
style consensus fill:#fef3c7,stroke:#fde68a,color:#1e293b
style apply fill:#047857,stroke:#064e3b,color:#fff
style pathfind fill:#0e7490,stroke:#155e75,color:#fff
style pathcomp fill:#0e7490,stroke:#155e75,color:#fff
style txq fill:#047857,stroke:#064e3b,color:#fff
style txqApply fill:#047857,stroke:#064e3b,color:#fff
style feeCalc fill:#047857,stroke:#064e3b,color:#fff
style valFetch fill:#6d28d9,stroke:#4c1d95,color:#fff
style valManifest fill:#6d28d9,stroke:#4c1d95,color:#fff
```
**Reading the diagram:**
- **rpc.request (blue, top)**: The entry point — every traced transaction starts as an RPC call; this root span is the parent of all downstream work.
- **tx.validate and pathfind.request (green/teal, first fork)**: The RPC request fans out into transaction validation and, for cross-currency payments, a PathFinding branch (`pathfind.request` -> `pathfind.compute`).
- **tx.relay -> Peer Spans (teal, middle)**: After validation, the transaction is relayed to peers A, B, and C in parallel; each `peer.send` is a sibling child span showing fan-out across the network.
- **context propagation (dashed arrow)**: The dotted line from `peer.send Peer A` to `consensus.round` represents the trace context crossing a node boundary — the receiving validator picks up the same `trace_id` and continues the trace.
- **consensus.round -> tx.apply -> TxQ Spans (green, lower)**: Once consensus accepts the transaction, it is applied to the ledger; the TxQ spans (`txq.enqueue`, `txq.apply`, `fee.escalate`) capture queue depth and fee escalation behavior.
- **Validator Spans (purple, detached)**: `validator.list.fetch` and `validator.manifest` are independent workflows for UNL management — they run on their own traces and are linked to consensus via Span Links, not parent-child relationships.
---
## 8.3 References
> **OTLP** = OpenTelemetry Protocol
### OpenTelemetry Resources
1. [OpenTelemetry C++ SDK](https://github.com/open-telemetry/opentelemetry-cpp)
2. [OpenTelemetry Specification](https://opentelemetry.io/docs/specs/otel/)
3. [OpenTelemetry Collector](https://opentelemetry.io/docs/collector/)
4. [OTLP Protocol Specification](https://opentelemetry.io/docs/specs/otlp/)
### Standards
5. [W3C Trace Context](https://www.w3.org/TR/trace-context/)
6. [W3C Baggage](https://www.w3.org/TR/baggage/)
7. [Protocol Buffers](https://protobuf.dev/)
### xrpld Resources
8. [xrpld Source Code](https://github.com/XRPLF/rippled)
9. [XRP Ledger Documentation](https://xrpl.org/docs/)
10. [xrpld Overlay README](https://github.com/XRPLF/rippled/blob/develop/src/xrpld/overlay/README.md)
11. [xrpld RPC README](https://github.com/XRPLF/rippled/blob/develop/src/xrpld/rpc/README.md)
12. [xrpld Consensus README](https://github.com/XRPLF/rippled/blob/develop/src/xrpld/app/consensus/README.md)
---
## 8.4 Version History
| Version | Date | Author | Changes |
| ------- | ---------- | ------ | -------------------------------------------------------------- |
| 1.0 | 2026-02-12 | - | Initial implementation plan |
| 1.1 | 2026-02-13 | - | Refactored into modular documents |
| 1.2 | 2026-03-24 | - | Review fixes: accuracy corrections, cross-document consistency |
---
## 8.5 Document Index
### Plan Documents
| Document | Description |
| ---------------------------------------------------------------- | -------------------------------------------- |
| [OpenTelemetryPlan.md](./OpenTelemetryPlan.md) | Master overview and executive summary |
| [00-tracing-fundamentals.md](./00-tracing-fundamentals.md) | Distributed tracing concepts and OTel primer |
| [01-architecture-analysis.md](./01-architecture-analysis.md) | xrpld architecture and trace points |
| [02-design-decisions.md](./02-design-decisions.md) | SDK selection, exporters, span conventions |
| [03-implementation-strategy.md](./03-implementation-strategy.md) | Directory structure, performance analysis |
| [04-code-samples.md](./04-code-samples.md) | C++ code examples for all components |
| [05-configuration-reference.md](./05-configuration-reference.md) | xrpld config, CMake, Collector configs |
| [06-implementation-phases.md](./06-implementation-phases.md) | Timeline, tasks, risks, success metrics |
| [07-observability-backends.md](./07-observability-backends.md) | Backend selection and architecture |
| [08-appendix.md](./08-appendix.md) | Glossary, references, version history |
| [presentation.md](./presentation.md) | Slide deck for OTel plan overview |
### Task Lists
| Document | Description |
| ------------------------------------ | --------------------------------------------------- |
| [POC_taskList.md](./POC_taskList.md) | Proof-of-concept telemetry integration |
| [presentation.md](./presentation.md) | Presentation slides for OpenTelemetry plan overview |
---
_Previous: [Observability Backends](./07-observability-backends.md)_ | _Back to: [Overview](./OpenTelemetryPlan.md)_

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@@ -1,231 +0,0 @@
# [OpenTelemetry](00-tracing-fundamentals.md) Distributed Tracing Implementation Plan for xrpld (xrpld)
## Executive Summary
> **OTLP** = OpenTelemetry Protocol
This document provides a comprehensive implementation plan for integrating OpenTelemetry distributed tracing into the xrpld XRP Ledger node software. The plan addresses the unique challenges of a decentralized peer-to-peer system where trace context must propagate across network boundaries between independent nodes.
### Key Benefits
- **End-to-end transaction visibility**: Track transactions from submission through consensus to ledger inclusion
- **Consensus round analysis**: Understand timing and behavior of consensus phases across validators
- **RPC performance insights**: Identify slow handlers and optimize response times
- **Network topology understanding**: Visualize message propagation patterns between peers
- **Incident debugging**: Correlate events across distributed nodes during issues
### Estimated Performance Overhead
| Metric | Overhead | Notes |
| ------------- | ---------- | ----------------------------------- |
| CPU | 1-3% | Span creation and attribute setting |
| Memory | 2-5 MB | Batch buffer for pending spans |
| Network | 10-50 KB/s | Compressed OTLP export to collector |
| Latency (p99) | <2% | With proper sampling configuration |
---
## Document Structure
This implementation plan is organized into modular documents for easier navigation:
<div align="center">
```mermaid
flowchart TB
overview["📋 OpenTelemetryPlan.md<br/>(This Document)"]
subgraph fundamentals["Fundamentals"]
fund["00-tracing-fundamentals.md"]
end
subgraph analysis["Analysis & Design"]
arch["01-architecture-analysis.md"]
design["02-design-decisions.md"]
end
subgraph impl["Implementation"]
strategy["03-implementation-strategy.md"]
code["04-code-samples.md"]
config["05-configuration-reference.md"]
end
subgraph deploy["Deployment & Planning"]
phases["06-implementation-phases.md"]
backends["07-observability-backends.md"]
appendix["08-appendix.md"]
poc["POC_taskList.md"]
end
overview --> fundamentals
overview --> analysis
overview --> impl
overview --> deploy
fund --> arch
arch --> design
design --> strategy
strategy --> code
code --> config
config --> phases
phases --> backends
backends --> appendix
phases --> poc
style overview fill:#1b5e20,stroke:#0d3d14,color:#fff,stroke-width:2px
style fundamentals fill:#00695c,stroke:#004d40,color:#fff
style fund fill:#00695c,stroke:#004d40,color:#fff
style analysis fill:#0d47a1,stroke:#082f6a,color:#fff
style impl fill:#bf360c,stroke:#8c2809,color:#fff
style deploy fill:#4a148c,stroke:#2e0d57,color:#fff
style arch fill:#0d47a1,stroke:#082f6a,color:#fff
style design fill:#0d47a1,stroke:#082f6a,color:#fff
style strategy fill:#bf360c,stroke:#8c2809,color:#fff
style code fill:#bf360c,stroke:#8c2809,color:#fff
style config fill:#bf360c,stroke:#8c2809,color:#fff
style phases fill:#4a148c,stroke:#2e0d57,color:#fff
style backends fill:#4a148c,stroke:#2e0d57,color:#fff
style appendix fill:#4a148c,stroke:#2e0d57,color:#fff
style poc fill:#4a148c,stroke:#2e0d57,color:#fff
```
</div>
---
## Table of Contents
| Section | Document | Description |
| ------- | ---------------------------------------------------------- | ---------------------------------------------------------------------- |
| **0** | [Tracing Fundamentals](./00-tracing-fundamentals.md) | Distributed tracing concepts, span relationships, context propagation |
| **1** | [Architecture Analysis](./01-architecture-analysis.md) | xrpld component analysis, trace points, instrumentation priorities |
| **2** | [Design Decisions](./02-design-decisions.md) | SDK selection, exporters, span naming, attributes, context propagation |
| **3** | [Implementation Strategy](./03-implementation-strategy.md) | Directory structure, key principles, performance optimization |
| **4** | [Code Samples](./04-code-samples.md) | C++ implementation examples for core infrastructure and key modules |
| **5** | [Configuration Reference](./05-configuration-reference.md) | xrpld config, CMake integration, Collector configurations |
| **6** | [Implementation Phases](./06-implementation-phases.md) | 5-phase timeline, tasks, risks, success metrics |
| **7** | [Observability Backends](./07-observability-backends.md) | Backend selection guide and production architecture |
| **8** | [Appendix](./08-appendix.md) | Glossary, references, version history |
| **POC** | [POC Task List](./POC_taskList.md) | Proof of concept tasks for RPC tracing end-to-end demo |
---
## 0. Tracing Fundamentals
This document introduces distributed tracing concepts for readers unfamiliar with the domain. It covers what traces and spans are, how parent-child and follows-from relationships model causality, how context propagates across service boundaries, and how sampling controls data volume. It also maps these concepts to xrpld-specific scenarios like transaction relay and consensus.
➡️ **[Read Tracing Fundamentals](./00-tracing-fundamentals.md)**
---
## 1. Architecture Analysis
> **WS** = WebSocket | **TxQ** = Transaction Queue
The xrpld node consists of several key components that require instrumentation for comprehensive distributed tracing. The main areas include the RPC server (HTTP/WebSocket), Overlay P2P network, Consensus mechanism (RCLConsensus), JobQueue for async task execution, PathFinding, Transaction Queue (TxQ), fee escalation (LoadManager), ledger acquisition, validator management, and existing observability infrastructure (PerfLog, Insight/StatsD, Journal logging).
Key trace points span across transaction submission via RPC, peer-to-peer message propagation, consensus round execution, ledger building, path computation, transaction queue behavior, fee escalation, and validator health. The implementation prioritizes high-value, low-risk components first: RPC handlers provide immediate value with minimal risk, while consensus tracing requires careful implementation to avoid timing impacts.
➡️ **[Read full Architecture Analysis](./01-architecture-analysis.md)**
---
## 2. Design Decisions
> **OTLP** = OpenTelemetry Protocol | **CNCF** = Cloud Native Computing Foundation
The OpenTelemetry C++ SDK is selected for its CNCF backing, active development, and native performance characteristics. Traces are exported via OTLP/gRPC (primary) or OTLP/HTTP (fallback) to an OpenTelemetry Collector, which provides flexible routing and sampling.
Span naming follows a hierarchical `<component>.<operation>` convention (e.g., `rpc.submit`, `tx.relay`, `consensus.round`). Context propagation uses W3C Trace Context headers for HTTP and embedded Protocol Buffer fields for P2P messages. The implementation coexists with existing PerfLog and Insight observability systems through correlation IDs.
**Data Collection & Privacy**: Telemetry collects only operational metadata (timing, counts, hashes) — never sensitive content (private keys, balances, amounts, raw payloads). Privacy protection includes account hashing, configurable redaction, sampling, and collector-level filtering. Node operators retain full control over telemetry configuration.
➡️ **[Read full Design Decisions](./02-design-decisions.md)**
---
## 3. Implementation Strategy
The telemetry code is organized under `include/xrpl/telemetry/` for headers and `src/libxrpl/telemetry/` for implementation. Key principles include RAII-based span management via `SpanGuard` (with `discard()` for dropping unwanted spans), a `FilteringSpanProcessor` that intercepts `OnEnd()` to prevent discarded spans from entering the export pipeline, conditional compilation with `XRPL_ENABLE_TELEMETRY`, and minimal runtime overhead through batch processing and efficient sampling.
Performance optimization strategies include probabilistic head sampling (10% default), tail-based sampling at the collector for errors and slow traces, batch export to reduce network overhead, and conditional instrumentation that compiles to no-ops when disabled.
➡️ **[Read full Implementation Strategy](./03-implementation-strategy.md)**
---
## 4. Code Samples
C++ implementation examples are provided for the core telemetry infrastructure and key modules:
- `Telemetry.h` - Core interface for tracer access and span creation
- `SpanGuard.h` - RAII wrapper for automatic span lifecycle management with `discard()` support
- `DiscardFlag.h` - Thread-local flag for span discard signaling between SpanGuard and FilteringSpanProcessor
- `SpanGuard.cpp` - Pimpl implementation confining all OTel SDK types
- Protocol Buffer extensions for trace context propagation
- Module-specific instrumentation (RPC, Consensus, P2P, JobQueue)
- Remaining modules (PathFinding, TxQ, Validator, etc.) follow the same patterns
➡️ **[View all Code Samples](./04-code-samples.md)**
---
## 5. Configuration Reference
> **OTLP** = OpenTelemetry Protocol | **APM** = Application Performance Monitoring
Configuration is handled through the `[telemetry]` section in `xrpld.cfg` with options for enabling/disabling, exporter selection, endpoint configuration, sampling ratios, and component-level filtering. CMake integration includes a `XRPL_ENABLE_TELEMETRY` option for compile-time control.
OpenTelemetry Collector configurations are provided for development and production (with tail-based sampling, Tempo, and Elastic APM). Docker Compose examples enable quick local development environment setup.
➡️ **[View full Configuration Reference](./05-configuration-reference.md)**
---
## 6. Implementation Phases
The implementation spans 9 weeks across 5 phases:
| Phase | Duration | Focus | Key Deliverables |
| ----- | --------- | ------------------- | --------------------------------------------------- |
| 1 | Weeks 1-2 | Core Infrastructure | SDK integration, Telemetry interface, Configuration |
| 2 | Weeks 3-4 | RPC Tracing | HTTP context extraction, Handler instrumentation |
| 3 | Weeks 5-6 | Transaction Tracing | Protocol Buffer context, Relay propagation |
| 4 | Weeks 7-8 | Consensus Tracing | Round spans, Proposal/validation tracing |
| 5 | Week 9 | Documentation | Runbook, Dashboards, Training |
**Total Effort**: 47 person-days (2 developers working in parallel)
➡️ **[View full Implementation Phases](./06-implementation-phases.md)**
---
## 7. Observability Backends
> **APM** = Application Performance Monitoring | **GCS** = Google Cloud Storage
Grafana Tempo is recommended for all environments due to its cost-effectiveness and Grafana integration, while Elastic APM is ideal for organizations with existing Elastic infrastructure.
The recommended production architecture uses a gateway collector pattern with regional collectors performing tail-based sampling, routing traces to multiple backends (Tempo for primary storage, Elastic for log correlation, S3/GCS for long-term archive).
➡️ **[View Observability Backend Recommendations](./07-observability-backends.md)**
---
## 8. Appendix
The appendix contains a glossary of OpenTelemetry and xrpld-specific terms, references to external documentation and specifications, version history for this implementation plan, and a complete document index.
➡️ **[View Appendix](./08-appendix.md)**
---
## POC Task List
A step-by-step task list for building a minimal end-to-end proof of concept that demonstrates distributed tracing in xrpld. The POC scope is limited to RPC tracing — showing request traces flowing from xrpld through an OpenTelemetry Collector into Tempo, viewable in Grafana.
➡️ **[View POC Task List](./POC_taskList.md)**
---
_This document provides a comprehensive implementation plan for integrating OpenTelemetry distributed tracing into the xrpld XRP Ledger node software. For detailed information on any section, follow the links to the corresponding sub-documents._

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@@ -1,628 +0,0 @@
# OpenTelemetry POC Task List
> **Goal**: Build a minimal end-to-end proof of concept that demonstrates distributed tracing in xrpld. A successful POC will show RPC request traces flowing from xrpld through an OTel Collector into Tempo, viewable in Grafana.
>
> **Scope**: RPC tracing only (highest value, lowest risk per the [CRAWL phase](./06-implementation-phases.md#6102-quick-wins-immediate-value) in the implementation phases). No cross-node P2P context propagation or consensus tracing in the POC.
### Related Plan Documents
| Document | Relevance to POC |
| ---------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------- |
| [00-tracing-fundamentals.md](./00-tracing-fundamentals.md) | Core concepts: traces, spans, context propagation, sampling |
| [01-architecture-analysis.md](./01-architecture-analysis.md) | RPC request flow (§1.5), key trace points (§1.6), instrumentation priority (§1.7) |
| [02-design-decisions.md](./02-design-decisions.md) | SDK selection (§2.1), exporter config (§2.2), span naming (§2.3), attribute schema (§2.4), coexistence with PerfLog/Insight (§2.6) |
| [03-implementation-strategy.md](./03-implementation-strategy.md) | Directory structure (§3.1), key principles (§3.2), performance overhead (§3.3-3.6), conditional compilation (§3.7.3), code intrusiveness (§3.9) |
| [04-code-samples.md](./04-code-samples.md) | Telemetry interface (§4.1), SpanGuard factory methods (§4.2-4.3), RPC instrumentation (§4.5.3) |
| [05-configuration-reference.md](./05-configuration-reference.md) | xrpld config (§5.1), config parser (§5.2), Application integration (§5.3), CMake (§5.4), Collector config (§5.5), Docker Compose (§5.6), Grafana (§5.8) |
| [06-implementation-phases.md](./06-implementation-phases.md) | Phase 1 core tasks (§6.2), Phase 2 RPC tasks (§6.3), quick wins (§6.10), definition of done (§6.11) |
| [07-observability-backends.md](./07-observability-backends.md) | Tempo dev setup (§7.1), Grafana dashboards (§7.6), alert rules (§7.6.3) |
---
## Task 0: Docker Observability Stack Setup
> **OTLP** = OpenTelemetry Protocol
**Objective**: Stand up the backend infrastructure to receive, store, and display traces.
**What to do**:
- Create `docker/telemetry/docker-compose.yml` in the repo with three services:
1. **OpenTelemetry Collector** (`otel/opentelemetry-collector-contrib:0.92.0`)
- Expose ports `4317` (OTLP gRPC) and `4318` (OTLP HTTP)
- Expose port `13133` (health check)
- Mount a config file `docker/telemetry/otel-collector-config.yaml`
2. **Tempo** (`grafana/tempo:2.6.1`)
- Expose port `3200` (HTTP API) and `4317` (OTLP gRPC, internal)
3. **Grafana** (`grafana/grafana:latest`) — optional but useful
- Expose port `3000`
- Enable anonymous admin access for local dev (`GF_AUTH_ANONYMOUS_ENABLED=true`, `GF_AUTH_ANONYMOUS_ORG_ROLE=Admin`)
- Provision Tempo as a data source via `docker/telemetry/grafana/provisioning/datasources/tempo.yaml`
- Create `docker/telemetry/otel-collector-config.yaml`:
```yaml
receivers:
otlp:
protocols:
grpc:
endpoint: 0.0.0.0:4317
http:
endpoint: 0.0.0.0:4318
processors:
batch:
timeout: 1s
send_batch_size: 100
exporters:
logging:
verbosity: detailed
otlp/tempo:
endpoint: tempo:4317
tls:
insecure: true
service:
pipelines:
traces:
receivers: [otlp]
processors: [batch]
exporters: [logging, otlp/tempo]
```
- Create Grafana Tempo datasource provisioning file at `docker/telemetry/grafana/provisioning/datasources/tempo.yaml`:
```yaml
apiVersion: 1
datasources:
- name: Tempo
type: tempo
access: proxy
url: http://tempo:3200
```
**Verification**: Run `docker compose -f docker/telemetry/docker-compose.yml up -d`, then:
- `curl http://localhost:13133` returns healthy (Collector)
- `http://localhost:3000` opens Grafana (Tempo datasource available, no traces yet)
**Reference**:
- [05-configuration-reference.md §5.5](./05-configuration-reference.md) — Collector config (dev YAML with Tempo exporter)
- [05-configuration-reference.md §5.6](./05-configuration-reference.md) — Docker Compose development environment
- [07-observability-backends.md §7.1](./07-observability-backends.md) — Tempo quick start and backend selection
- [05-configuration-reference.md §5.8](./05-configuration-reference.md) — Grafana datasource provisioning and dashboards
---
## Task 1: Add OpenTelemetry C++ SDK Dependency
**Objective**: Make `opentelemetry-cpp` available to the build system.
**What to do**:
- Edit `conanfile.py` to add `opentelemetry-cpp` as an **optional** dependency. The gRPC otel plugin flag (`"grpc/*:otel_plugin": False`) in the existing conanfile may need to remain false — we pull the OTel SDK separately.
- Add a Conan option: `with_telemetry = [True, False]` defaulting to `False`
- When `with_telemetry` is `True`, add `opentelemetry-cpp` to `self.requires()`
- Required OTel Conan components: `opentelemetry-cpp` (which bundles api, sdk, and exporters). If the package isn't in Conan Center, consider using `FetchContent` in CMake or building from source as a fallback.
- Edit `CMakeLists.txt`:
- Add option: `option(XRPL_ENABLE_TELEMETRY "Enable OpenTelemetry tracing" OFF)`
- When ON, `find_package(opentelemetry-cpp CONFIG REQUIRED)` and add compile definition `XRPL_ENABLE_TELEMETRY`
- When OFF, do nothing (zero build impact)
- Verify the build succeeds with `-DXRPL_ENABLE_TELEMETRY=OFF` (no regressions) and with `-DXRPL_ENABLE_TELEMETRY=ON` (SDK links successfully).
**Key files**:
- `conanfile.py`
- `CMakeLists.txt`
**Reference**:
- [05-configuration-reference.md §5.4](./05-configuration-reference.md) — CMake integration, `FindOpenTelemetry.cmake`, `XRPL_ENABLE_TELEMETRY` option
- [03-implementation-strategy.md §3.2](./03-implementation-strategy.md) — Key principle: zero-cost when disabled via compile-time flags
- [02-design-decisions.md §2.1](./02-design-decisions.md) — SDK selection rationale and required OTel components
---
## Task 2: Create Core Telemetry Interface and NullTelemetry
**Objective**: Define the `Telemetry` abstract interface and a no-op implementation so the rest of the codebase can reference telemetry without hard-depending on the OTel SDK.
**What to do**:
- Create `include/xrpl/telemetry/Telemetry.h`:
- Define `namespace xrpl::telemetry`
- Define `struct Telemetry::Setup` holding: `enabled`, `exporterEndpoint`, `samplingRatio`, `serviceName`, `serviceVersion`, `serviceInstanceId`, `traceRpc`, `traceTransactions`, `traceConsensus`, `tracePeer`
- Define abstract `class Telemetry` with:
- `virtual void start() = 0;`
- `virtual void stop() = 0;`
- `virtual bool isEnabled() const = 0;`
- `virtual nostd::shared_ptr<Tracer> getTracer(string_view name = "xrpld") = 0;`
- `virtual nostd::shared_ptr<Span> startSpan(string_view name, SpanKind kind = kInternal) = 0;`
- `virtual nostd::shared_ptr<Span> startSpan(string_view name, Context const& parentContext, SpanKind kind = kInternal) = 0;`
- `virtual bool shouldTraceRpc() const = 0;`
- `virtual bool shouldTraceTransactions() const = 0;`
- `virtual bool shouldTraceConsensus() const = 0;`
- Factory: `std::unique_ptr<Telemetry> make_Telemetry(Setup const&, beast::Journal);`
- Config parser: `Telemetry::Setup setup_Telemetry(Section const&, std::string const& nodePublicKey, std::string const& version);`
- Create `include/xrpl/telemetry/SpanGuard.h`:
- RAII guard with static factory methods (`rpcSpan()`, `txSpan()`, `consensusSpan()`, etc.) that access the global `Telemetry::getInstance()` singleton internally.
- Uses pimpl idiom to hide all OTel types -- the public header has zero `opentelemetry/` includes.
- Convenience instance methods: `setAttribute()`, `setOk()`, `setStatus()`, `addEvent()`, `recordException()`, `context()`, `discard()`
- When `XRPL_ENABLE_TELEMETRY` is not defined, the entire class compiles to a no-op stub.
- See [04-code-samples.md](./04-code-samples.md) §4.2-4.3 for the full API reference.
- Create `src/libxrpl/telemetry/NullTelemetry.cpp`:
- Implements `Telemetry` with all no-ops.
- `isEnabled()` returns `false`, `startSpan()` returns a noop span.
- This is used when `XRPL_ENABLE_TELEMETRY` is OFF or `enabled=0` in config.
- Guard all OTel SDK headers behind `#ifdef XRPL_ENABLE_TELEMETRY`. The `NullTelemetry` implementation should compile without the OTel SDK present.
**Key new files**:
- `include/xrpl/telemetry/Telemetry.h`
- `include/xrpl/telemetry/SpanGuard.h`
- `src/libxrpl/telemetry/NullTelemetry.cpp`
**Reference**:
- [04-code-samples.md §4.1](./04-code-samples.md) — Full `Telemetry` interface with `Setup` struct, lifecycle, tracer access, span creation, and component filtering methods
- [04-code-samples.md §4.2-4.3](./04-code-samples.md) — SpanGuard with factory methods, pimpl design, no-op stub, and discard support
- [03-implementation-strategy.md §3.1](./03-implementation-strategy.md) — Directory structure: `include/xrpl/telemetry/` for headers, `src/libxrpl/telemetry/` for implementation
- [03-implementation-strategy.md §3.7.3](./03-implementation-strategy.md) — Conditional instrumentation and zero-cost compile-time disabled pattern
---
## Task 3: Implement OTel-Backed Telemetry
> **OTLP** = OpenTelemetry Protocol
**Objective**: Implement the real `Telemetry` class that initializes the OTel SDK, configures the OTLP exporter and batch processor, and creates tracers/spans.
**What to do**:
- Create `src/libxrpl/telemetry/Telemetry.cpp` (compiled only when `XRPL_ENABLE_TELEMETRY=ON`):
- `class TelemetryImpl : public Telemetry` that:
- In `start()`: creates a `TracerProvider` with:
- Resource attributes: `service.name`, `service.version`, `service.instance.id`
- An `OtlpHttpExporter` pointed at `setup.exporterEndpoint` (default `localhost:4318`)
- A `BatchSpanProcessor` with configurable batch size and delay
- A `TraceIdRatioBasedSampler` using `setup.samplingRatio`
- Sets the global `TracerProvider`
- In `stop()`: calls `ForceFlush()` then shuts down the provider
- In `startSpan()`: delegates to `getTracer()->StartSpan(name, ...)`
- `shouldTraceRpc()` etc. read from `Setup` fields
- Create `src/libxrpl/telemetry/TelemetryConfig.cpp`:
- `setup_Telemetry()` parses the `[telemetry]` config section from `xrpld.cfg`
- Maps config keys: `enabled`, `exporter`, `endpoint`, `sampling_ratio`, `trace_rpc`, `trace_transactions`, `trace_consensus`, `trace_peer`
- Wire `make_Telemetry()` factory:
- If `setup.enabled` is true AND `XRPL_ENABLE_TELEMETRY` is defined: return `TelemetryImpl`
- Otherwise: return `NullTelemetry`
- Add telemetry source files to CMake. When `XRPL_ENABLE_TELEMETRY=ON`, compile `Telemetry.cpp` and `TelemetryConfig.cpp` and link against `opentelemetry-cpp::api`, `opentelemetry-cpp::sdk`, `opentelemetry-cpp::otlp_grpc_exporter`. When OFF, compile only `NullTelemetry.cpp`.
**Key new files**:
- `src/libxrpl/telemetry/Telemetry.cpp`
- `src/libxrpl/telemetry/TelemetryConfig.cpp`
**Key modified files**:
- `CMakeLists.txt` (add telemetry library target)
**Reference**:
- [04-code-samples.md §4.1](./04-code-samples.md) — `Telemetry` interface that `TelemetryImpl` must implement
- [05-configuration-reference.md §5.2](./05-configuration-reference.md) — `setup_Telemetry()` config parser implementation
- [02-design-decisions.md §2.2](./02-design-decisions.md) — OTLP/gRPC exporter config (endpoint, TLS options)
- [02-design-decisions.md §2.4.1](./02-design-decisions.md) — Resource attributes: `service.name`, `service.version`, `service.instance.id`, `xrpl.network.id`
- [03-implementation-strategy.md §3.4](./03-implementation-strategy.md) — Per-operation CPU costs and overhead budget for span creation
- [03-implementation-strategy.md §3.5](./03-implementation-strategy.md) — Memory overhead: static (~456 KB) and dynamic (~1.2 MB) budgets
---
## Task 4: Integrate Telemetry into Application Lifecycle
**Objective**: Wire the `Telemetry` object into the `ServiceRegistry` / `Application` so all components can access it.
**What to do**:
- Edit `include/xrpl/core/ServiceRegistry.h`:
- Forward-declare `namespace telemetry { class Telemetry; }` inside `namespace xrpl`
- Add pure virtual method: `virtual telemetry::Telemetry& getTelemetry() = 0;`
- (`Application` extends `ServiceRegistry`, so this is automatically available on `Application` too)
- Edit `src/xrpld/app/main/Application.cpp` (the `ApplicationImp` class):
- Add member: `std::unique_ptr<telemetry::Telemetry> telemetry_;`
- In the member initializer list, construct telemetry with an empty
`serviceInstanceId` (node identity is not yet known):
```cpp
, telemetry_(
telemetry::make_Telemetry(
telemetry::setup_Telemetry(
config_->section("telemetry"),
"", // Updated later via setServiceInstanceId()
BuildInfo::getVersionString()),
logs_->journal("Telemetry")))
```
- In `setup()`, after `nodeIdentity_` is resolved, inject the node
public key as the service instance ID:
```cpp
if (!config_->section("telemetry").exists("service_instance_id"))
telemetry_->setServiceInstanceId(
toBase58(TokenType::NodePublic, nodeIdentity_->first));
```
- In `start()`: call `telemetry_->start()`
- In `run()` (shutdown path): call `telemetry_->stop()` (to flush pending spans)
- Implement `getTelemetry()` override: return `*telemetry_`
- Add `[telemetry]` section to the example config `cfg/xrpld-example.cfg`:
```ini
# [telemetry]
# enabled=1
# endpoint=http://localhost:4318/v1/traces
# sampling_ratio=1.0
# trace_rpc=1
```
> **Access patterns**: Components holding `ServiceRegistry&` (e.g.
> `NetworkOPsImp`) call `registry_.get().getTelemetry()`. Components
> holding `Application&` (e.g. `ServerHandler`, `PeerImp`,
> `RCLConsensusAdaptor`) call `app_.getTelemetry()` directly. Both
> resolve to the same `Telemetry` instance.
**Key modified files**:
- `include/xrpl/core/ServiceRegistry.h`
- `src/xrpld/app/main/Application.cpp`
- `cfg/xrpld-example.cfg` (example config)
**Reference**:
- [05-configuration-reference.md §5.3](./05-configuration-reference.md) — `ApplicationImp` changes: member declaration, constructor init, `start()`/`stop()` wiring, `getTelemetry()` override
- [05-configuration-reference.md §5.1](./05-configuration-reference.md) — `[telemetry]` config section format and all option defaults
- [03-implementation-strategy.md §3.9.2](./03-implementation-strategy.md) — File impact assessment: `Application.cpp` ~15 lines added, ~3 changed (Low risk)
---
## Task 5: Add SpanGuard Factory Methods
**Objective**: Add static factory methods to SpanGuard that provide type-safe, one-liner instrumentation and compile to zero-cost no-ops when telemetry is disabled. This replaces the earlier macro-based approach (`TracingInstrumentation.h` has been removed).
**What to do**:
- Update `include/xrpl/telemetry/SpanGuard.h`:
- Add static factory methods that access the global `Telemetry::getInstance()` singleton and check the relevant component filter before creating a span:
```cpp
// Each factory checks the global Telemetry instance internally.
// No Telemetry& reference needed at the call site.
auto span = telemetry::SpanGuard::rpcSpan("rpc.request");
span.setAttribute("command", command);
span.setAttribute("rpc_status", status);
```
- Factory methods: `rpcSpan()`, `txSpan()`, `consensusSpan()`, `peerSpan()`, `ledgerSpan()`, `span()`
- Use the pimpl idiom to hide all OTel types from the public header (zero `opentelemetry/` includes)
- When `XRPL_ENABLE_TELEMETRY` is NOT defined, the entire class compiles to a no-op stub with empty inline method bodies
- No separate `TracingInstrumentation.h` file is needed. All instrumentation call sites use `#include <xrpl/telemetry/SpanGuard.h>` directly.
**Key modified file**:
- `include/xrpl/telemetry/SpanGuard.h`
**Reference**:
- [04-code-samples.md §4.3](./04-code-samples.md) — SpanGuard API reference: factory methods, usage patterns, compile-time disabled behavior, and discard support
- [03-implementation-strategy.md §3.7.3](./03-implementation-strategy.md) — Conditional instrumentation pattern: factory methods handle compile-time and runtime checks internally
- [03-implementation-strategy.md §3.9.7](./03-implementation-strategy.md) — Before/after code examples showing minimal intrusiveness (~1-3 lines per instrumentation point)
---
## Task 6: Instrument RPC ServerHandler
> **WS** = WebSocket
**Objective**: Add tracing to the HTTP RPC entry point so every incoming RPC request creates a span.
**What to do**:
- Edit `src/xrpld/rpc/detail/ServerHandler.cpp`:
- `#include <xrpl/telemetry/SpanGuard.h>`
- In `ServerHandler::onRequest(Session& session)`:
- At the top of the method, add: `auto span = telemetry::SpanGuard::rpcSpan("rpc.request");`
- After the RPC command name is extracted, set attribute: `span.setAttribute("command", command);`
- After the response status is known, set: `span.setAttribute("http.status_code", static_cast<int64_t>(statusCode));`
- Wrap error paths with: `span.recordException(e);`
- In `ServerHandler::processRequest(...)`:
- Add a child span: `auto span = telemetry::SpanGuard::rpcSpan("rpc.process");`
- Set method attribute: `span.setAttribute("method", request_method);`
- In `ServerHandler::onWSMessage(...)` (WebSocket path):
- Add: `auto span = telemetry::SpanGuard::rpcSpan("rpc.ws.message");`
- The goal is to see spans like:
```
rpc.request
└── rpc.process
```
in Tempo/Grafana for every HTTP RPC call.
**Key modified file**:
- `src/xrpld/rpc/detail/ServerHandler.cpp` (~15-25 lines added)
**Reference**:
- [04-code-samples.md §4.5.3](./04-code-samples.md) — Complete `ServerHandler::onRequest()` instrumented code sample using SpanGuard factory methods
- [01-architecture-analysis.md §1.5](./01-architecture-analysis.md) — RPC request flow diagram: HTTP request -> attributes -> jobqueue.enqueue -> rpc.command -> response
- [01-architecture-analysis.md §1.6](./01-architecture-analysis.md) — Key trace points table: `rpc.request` in `ServerHandler.cpp::onRequest()` (Priority: High)
- [02-design-decisions.md §2.3](./02-design-decisions.md) — Span naming convention: `rpc.request`, `rpc.command.*`
- [02-design-decisions.md §2.4.2](./02-design-decisions.md) — RPC span attributes: `command`, `version`, `rpc_role`, `xrpl.rpc.params`
- [03-implementation-strategy.md §3.9.2](./03-implementation-strategy.md) — File impact: `ServerHandler.cpp` ~40 lines added, ~10 changed (Low risk)
---
## Task 7: Instrument RPC Command Execution
**Objective**: Add per-command tracing inside the RPC handler so each command (e.g., `submit`, `account_info`, `server_info`) gets its own child span.
**What to do**:
- Edit `src/xrpld/rpc/detail/RPCHandler.cpp`:
- `#include <xrpl/telemetry/SpanGuard.h>`
- In `doCommand(RPC::JsonContext& context, Json::Value& result)`:
- At the top: `auto span = telemetry::SpanGuard::rpcSpan("rpc.command." + context.method);`
- Set attributes:
- `span.setAttribute("command", context.method);`
- `span.setAttribute("version", static_cast<int64_t>(context.apiVersion));`
- `span.setAttribute("rpc_role", (context.role == Role::ADMIN) ? "admin" : "user");`
- On success: `span.setAttribute("rpc_status", "success");`
- On error: `span.setAttribute("rpc_status", "error");` and set the error message
- After this, traces in Tempo/Grafana should look like:
```
rpc.request (command=account_info)
└── rpc.process
└── rpc.command.account_info (version=2, rpc_role=user, rpc_status=success)
```
**Key modified file**:
- `src/xrpld/rpc/detail/RPCHandler.cpp` (~15-20 lines added)
**Reference**:
- [04-code-samples.md §4.5.3](./04-code-samples.md) — `ServerHandler::onRequest()` code sample (includes child span pattern for `rpc.command.*`)
- [02-design-decisions.md §2.3](./02-design-decisions.md) — Span naming: `rpc.command.*` pattern with dynamic command name (e.g., `rpc.command.server_info`)
- [02-design-decisions.md §2.4.2](./02-design-decisions.md) — RPC attribute schema: `command`, `version`, `rpc_role`, `rpc_status`
- [01-architecture-analysis.md §1.6](./01-architecture-analysis.md) — Key trace points table: `rpc.command.*` in `RPCHandler.cpp::doCommand()` (Priority: High)
- [02-design-decisions.md §2.6.5](./02-design-decisions.md) — Correlation with PerfLog: how `doCommand()` can link trace_id with existing PerfLog entries
- [03-implementation-strategy.md §3.4.4](./03-implementation-strategy.md) — RPC request overhead budget: ~1.75 μs total per request
---
## Task 8: Build, Run, and Verify End-to-End
> **OTLP** = OpenTelemetry Protocol
**Objective**: Prove the full pipeline works: xrpld emits traces -> OTel Collector receives them -> Tempo stores them for Grafana visualization.
**What to do**:
1. **Start the Docker stack**:
```bash
docker compose -f docker/telemetry/docker-compose.yml up -d
```
Verify Collector health: `curl http://localhost:13133`
2. **Build xrpld with telemetry**:
```bash
# Adjust for your actual build workflow
conan install . --build=missing -o with_telemetry=True
cmake --preset default -DXRPL_ENABLE_TELEMETRY=ON
cmake --build --preset default
```
3. **Configure xrpld**:
Add to `xrpld.cfg` (or your local test config):
```ini
[telemetry]
enabled=1
endpoint=localhost:4317
sampling_ratio=1.0
trace_rpc=1
```
4. **Start xrpld** in standalone mode:
```bash
./rippled --conf xrpld.cfg -a --start
```
5. **Generate RPC traffic**:
```bash
# server_info
curl -s -X POST http://localhost:5005 \
-H "Content-Type: application/json" \
-d '{"method":"server_info","params":[{}]}'
# ledger
curl -s -X POST http://localhost:5005 \
-H "Content-Type: application/json" \
-d '{"method":"ledger","params":[{"ledger_index":"current"}]}'
# account_info (will error in standalone, that's fine — we trace errors too)
curl -s -X POST http://localhost:5005 \
-H "Content-Type: application/json" \
-d '{"method":"account_info","params":[{"account":"rHb9CJAWyB4rj91VRWn96DkukG4bwdtyTh"}]}'
```
6. **Verify in Grafana (Tempo)**:
- Open `http://localhost:3000`
- Navigate to Explore → select Tempo datasource
- Search for service `xrpld`
- Confirm you see traces with spans: `rpc.request` -> `rpc.process` -> `rpc.command.server_info`
- Click into a trace and verify attributes: `command`, `rpc_status`, `version`
7. **Verify zero-overhead when disabled**:
- Rebuild with `XRPL_ENABLE_TELEMETRY=OFF`, or set `enabled=0` in config
- Run the same RPC calls
- Confirm no new traces appear and no errors in xrpld logs
**Verification Checklist**:
- [ ] Docker stack starts without errors
- [ ] xrpld builds with `-DXRPL_ENABLE_TELEMETRY=ON`
- [ ] xrpld starts and connects to OTel Collector (check xrpld logs for telemetry messages)
- [ ] Traces appear in Grafana/Tempo under service "xrpld"
- [ ] Span hierarchy is correct (parent-child relationships)
- [ ] Span attributes are populated (`command`, `rpc_status`, etc.)
- [ ] Error spans show error status and message
- [ ] Building with `XRPL_ENABLE_TELEMETRY=OFF` produces no regressions
- [ ] Setting `enabled=0` at runtime produces no traces and no errors
**Reference**:
- [06-implementation-phases.md §6.11.1](./06-implementation-phases.md) — Phase 1 definition of done: SDK compiles, runtime toggle works, span creation verified in Tempo, config validation passes
- [06-implementation-phases.md §6.11.2](./06-implementation-phases.md#6112-phase-2-rpc-tracing) — Phase 2 definition of done: 100% RPC coverage, traceparent propagation, <1ms p99 overhead, dashboard deployed
- [06-implementation-phases.md §6.8](./06-implementation-phases.md) — Success metrics: trace coverage >95%, CPU overhead <3%, memory <5 MB, latency impact <2%
- [03-implementation-strategy.md §3.9.5](./03-implementation-strategy.md) — Backward compatibility: config optional, protocol unchanged, `XRPL_ENABLE_TELEMETRY=OFF` produces identical binary
- [01-architecture-analysis.md §1.8](./01-architecture-analysis.md) — Observable outcomes: what traces, metrics, and dashboards to expect
---
## Task 9: Document POC Results and Next Steps
> **OTLP** = OpenTelemetry Protocol | **WS** = WebSocket
**Objective**: Capture findings, screenshots, and remaining work for the team.
**What to do**:
- Take screenshots of Grafana/Tempo showing:
- The service list with "xrpld"
- A trace with the full span tree
- Span detail view showing attributes
- Document any issues encountered (build issues, SDK quirks, missing attributes)
- Note performance observations (build time impact, any noticeable runtime overhead)
- Write a short summary of what the POC proves and what it doesn't cover yet:
- **Proves**: OTel SDK integrates with xrpld, OTLP export works, RPC traces visible
- **Doesn't cover**: Cross-node P2P context propagation, consensus tracing, protobuf trace context, W3C traceparent header extraction, tail-based sampling, production deployment
- Outline next steps (mapping to the full plan phases):
- [Phase 2](./06-implementation-phases.md) completion: [W3C header extraction](./02-design-decisions.md) (§2.5), WebSocket tracing, all [RPC handlers](./01-architecture-analysis.md) (§1.6)
- [Phase 3](./06-implementation-phases.md): [Protobuf `TraceContext` message](./04-code-samples.md) (§4.4), [transaction relay tracing](./04-code-samples.md) (§4.5.1) across nodes
- [Phase 4](./06-implementation-phases.md): [Consensus round and phase tracing](./04-code-samples.md) (§4.5.2)
- [Phase 5](./06-implementation-phases.md): [Production collector config](./05-configuration-reference.md) (§5.5.2), [Grafana dashboards](./07-observability-backends.md) (§7.6), [alerting](./07-observability-backends.md) (§7.6.3)
**Reference**:
- [06-implementation-phases.md §6.1](./06-implementation-phases.md) — Full 5-phase timeline overview and Gantt chart
- [06-implementation-phases.md §6.10](./06-implementation-phases.md) — Crawl-Walk-Run strategy: POC is the CRAWL phase, next steps are WALK and RUN
- [06-implementation-phases.md §6.12](./06-implementation-phases.md) — Recommended implementation order (14 steps across 9 weeks)
- [03-implementation-strategy.md §3.9](./03-implementation-strategy.md) — Code intrusiveness assessment and risk matrix for each remaining component
- [07-observability-backends.md §7.2](./07-observability-backends.md) — Production backend selection (Tempo, Elastic APM, Honeycomb, Datadog)
- [02-design-decisions.md §2.5](./02-design-decisions.md) — Context propagation design: W3C HTTP headers, protobuf P2P, JobQueue internal
- [00-tracing-fundamentals.md](./00-tracing-fundamentals.md) — Reference for team onboarding on distributed tracing concepts
---
## Summary
| Task | Description | New Files | Modified Files | Depends On |
| ---- | ------------------------------------ | --------- | -------------- | ---------- |
| 0 | Docker observability stack | 4 | 0 | — |
| 1 | OTel C++ SDK dependency | 0 | 2 | — |
| 2 | Core Telemetry interface + NullImpl | 3 | 0 | 1 |
| 3 | OTel-backed Telemetry implementation | 2 | 1 | 1, 2 |
| 4 | Application lifecycle integration | 0 | 3 | 2, 3 |
| 5 | SpanGuard factory methods | 0 | 1 | 2 |
| 6 | Instrument RPC ServerHandler | 0 | 1 | 4, 5 |
| 7 | Instrument RPC command execution | 0 | 1 | 4, 5 |
| 8 | End-to-end verification | 0 | 0 | 0-7 |
| 9 | Document results and next steps | 1 | 0 | 8 |
**Parallel work**: Tasks 0 and 1 can run in parallel. Tasks 2 and 5 have no dependency on each other. Tasks 6 and 7 can be done in parallel once Tasks 4 and 5 are complete.
---
## Next Steps (Post-POC)
> **OTLP** = OpenTelemetry Protocol | **WS** = WebSocket
### Metrics Pipeline for Grafana Dashboards
The current POC exports **traces only**. Grafana's Explore view can query Tempo for individual traces, but time-series charts (latency histograms, request throughput, error rates) require a **metrics pipeline**. To enable this:
1. **Add a `spanmetrics` connector** to the OTel Collector config that derives RED metrics (Rate, Errors, Duration) from trace spans automatically:
```yaml
connectors:
spanmetrics:
histogram:
explicit:
buckets: [1ms, 5ms, 10ms, 25ms, 50ms, 100ms, 250ms, 500ms, 1s, 5s]
dimensions:
- name: command
- name: rpc_status
exporters:
prometheus:
endpoint: 0.0.0.0:8889
service:
pipelines:
traces:
receivers: [otlp]
processors: [batch]
exporters: [debug, otlp/tempo, spanmetrics]
metrics:
receivers: [spanmetrics]
exporters: [prometheus]
```
2. **Add Prometheus** to the Docker Compose stack to scrape the collector's metrics endpoint.
3. **Add Prometheus as a Grafana datasource** and build dashboards for:
- RPC request latency (p50/p95/p99) by command
- RPC throughput (requests/sec) by command
- Error rate by command
- Span duration distribution
### Additional Instrumentation
- **W3C `traceparent` header extraction** in `ServerHandler` to support cross-service context propagation from external callers
- **WebSocket RPC tracing** in `ServerHandler::onWSMessage()`
- **Transaction relay tracing** across nodes using protobuf `TraceContext` messages
- **Consensus round and phase tracing** for validator coordination visibility
- **Ledger close tracing** to measure close-to-validated latency
### Production Hardening
- **Tail-based sampling** in the OTel Collector to reduce volume while retaining error/slow traces
- **TLS configuration** for the OTLP exporter in production deployments
- **Resource limits** on the batch processor queue to prevent unbounded memory growth
- **Health monitoring** for the telemetry pipeline itself (collector lag, export failures)
### POC Lessons Learned
Issues encountered during POC implementation that inform future work:
| Issue | Resolution | Impact on Future Work |
| -------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------- | ---------------------------------------------------------------- |
| Conan lockfile rejected `opentelemetry-cpp/1.18.0` | Used `--lockfile=""` to bypass | Lockfile must be regenerated when adding new dependencies |
| Conan package only builds OTLP HTTP exporter, not gRPC | Switched from gRPC to HTTP exporter (`localhost:4318/v1/traces`) | HTTP exporter is the default; gRPC requires custom Conan profile |
| CMake target `opentelemetry-cpp::api` etc. don't exist in Conan package | Use umbrella target `opentelemetry-cpp::opentelemetry-cpp` | Conan targets differ from upstream CMake targets |
| OTel Collector `logging` exporter deprecated | Renamed to `debug` exporter | Use `debug` in all collector configs going forward |
| Macro parameter `telemetry` collided with `::xrpl::telemetry::` namespace | Replaced macros with SpanGuard factory methods (no macros needed) | Factory methods avoid macro hygiene issues entirely |
| `opentelemetry::trace::Scope` creates new context on move | Store scope as member, create once in constructor | SpanGuard move semantics need care with Scope lifecycle |
| `TracerProviderFactory::Create` returns `unique_ptr<sdk::TracerProvider>`, not `nostd::shared_ptr` | Use `std::shared_ptr` member, wrap in `nostd::shared_ptr` for global provider | OTel SDK factory return types don't match API provider types |

View File

@@ -1,673 +0,0 @@
# OpenTelemetry Distributed Tracing for xrpld
---
## Slide 1: Introduction
> **CNCF** = Cloud Native Computing Foundation
### What is OpenTelemetry?
OpenTelemetry is an open-source, CNCF-backed observability framework for distributed tracing, metrics, and logs.
### Why OpenTelemetry for xrpld?
- **End-to-End Transaction Visibility**: Track transactions from submission → consensus → ledger inclusion
- **Cross-Node Correlation**: Follow requests across multiple independent nodes using a unique `trace_id`
- **Consensus Round Analysis**: Understand timing and behavior across validators
- **Incident Debugging**: Correlate events across distributed nodes during issues
```mermaid
flowchart LR
A["Node A<br/>tx.receive<br/>trace_id: abc123"] --> B["Node B<br/>tx.relay<br/>trace_id: abc123"] --> C["Node C<br/>tx.validate<br/>trace_id: abc123"] --> D["Node D<br/>ledger.apply<br/>trace_id: abc123"]
style A fill:#1565c0,stroke:#0d47a1,color:#fff
style B fill:#2e7d32,stroke:#1b5e20,color:#fff
style C fill:#2e7d32,stroke:#1b5e20,color:#fff
style D fill:#e65100,stroke:#bf360c,color:#fff
```
**Reading the diagram:**
- **Node A (blue, leftmost)**: The originating node that first receives the transaction and assigns a new `trace_id: abc123`; this ID becomes the correlation key for the entire distributed trace.
- **Node B and Node C (green, middle)**: Relay and validation nodes — each creates its own span but carries the same `trace_id`, so their work is linked to the original submission without any central coordinator.
- **Node D (orange, rightmost)**: The final node that applies the transaction to the ledger; the trace now spans the full lifecycle from submission to ledger inclusion.
- **Left-to-right flow**: The horizontal progression shows the real-world message path — a transaction hops from node to node, and the shared `trace_id` stitches all hops into a single queryable trace.
> **Trace ID: abc123** — All nodes share the same trace, enabling cross-node correlation.
---
## Slide 2: OpenTelemetry vs Open Source Alternatives
> **CNCF** = Cloud Native Computing Foundation
| Feature | OpenTelemetry | Jaeger | Zipkin | SkyWalking | Pinpoint | Prometheus |
| ------------------- | ---------------- | ---------------- | ------------------ | ---------- | ---------- | ---------- |
| **Tracing** | YES | YES | YES | YES | YES | NO |
| **Metrics** | YES | NO | NO | YES | YES | YES |
| **Logs** | YES | NO | NO | YES | NO | NO |
| **C++ SDK** | YES Official | YES (Deprecated) | YES (Unmaintained) | NO | NO | YES |
| **Vendor Neutral** | YES Primary goal | NO | NO | NO | NO | NO |
| **Instrumentation** | Manual + Auto | Manual | Manual | Auto-first | Auto-first | Manual |
| **Backend** | Any (exporters) | Self | Self | Self | Self | Self |
| **CNCF Status** | Incubating | Graduated | NO | Incubating | NO | Graduated |
> **Why OpenTelemetry?** It's the only actively maintained, full-featured C++ option with vendor neutrality — allowing export to Tempo, Prometheus, Grafana, or any commercial backend without changing instrumentation.
---
## Slide 3: Adoption Scope — Traces Only (Current Plan)
OpenTelemetry supports three signal types: **Traces**, **Metrics**, and **Logs**. xrpld already captures metrics (StatsD via Beast Insight) and logs (Journal/PerfLog). The question is: how much of OTel do we adopt?
> **Scenario A**: Add distributed tracing. Keep StatsD for metrics and Journal for logs.
```mermaid
flowchart LR
subgraph xrpld["xrpld Process"]
direction TB
OTel["OTel SDK<br/>(Traces)"]
Insight["Beast Insight<br/>(StatsD Metrics)"]
Journal["Journal + PerfLog<br/>(Logging)"]
end
OTel -->|"OTLP"| Collector["OTel Collector"]
Insight -->|"UDP"| StatsD["StatsD Server"]
Journal -->|"File I/O"| LogFile["perf.log / debug.log"]
Collector --> Tempo["Tempo"]
StatsD --> Graphite["Graphite / Grafana"]
LogFile --> Loki["Loki (optional)"]
style xrpld fill:#424242,stroke:#212121,color:#fff
style OTel fill:#2e7d32,stroke:#1b5e20,color:#fff
style Insight fill:#1565c0,stroke:#0d47a1,color:#fff
style Journal fill:#e65100,stroke:#bf360c,color:#fff
style Collector fill:#2e7d32,stroke:#1b5e20,color:#fff
```
| Aspect | Details |
| ------------------------------ | --------------------------------------------------------------------------------------------------------------- |
| **What changes for operators** | Deploy OTel Collector + trace backend. Existing StatsD and log pipelines stay as-is. |
| **Codebase impact** | New `Telemetry` module (~1500 LOC). Beast Insight and Journal untouched. |
| **New capabilities** | Cross-node trace correlation, span-based debugging, request lifecycle visibility. |
| **What we still can't do** | Correlate metrics with specific traces natively. StatsD metrics remain fire-and-forget with no trace exemplars. |
| **Maintenance burden** | Three separate observability systems to maintain (OTel + StatsD + Journal). |
| **Risk** | Lowest — additive change, no existing systems disturbed. |
---
## Slide 4: Future Adoption — Metrics & Logs via OTel
### Scenario B: + OTel Metrics (Replace StatsD)
> Migrate StatsD to OTel Metrics API, exposing Prometheus-compatible metrics. Remove Beast Insight.
```mermaid
flowchart LR
subgraph xrpld["xrpld Process"]
direction TB
OTel["OTel SDK<br/>(Traces + Metrics)"]
Journal["Journal + PerfLog<br/>(Logging)"]
end
OTel -->|"OTLP"| Collector["OTel Collector"]
Journal -->|"File I/O"| LogFile["perf.log / debug.log"]
Collector --> Tempo["Tempo<br/>(Traces)"]
Collector --> Prom["Prometheus<br/>(Metrics)"]
LogFile --> Loki["Loki (optional)"]
style xrpld fill:#424242,stroke:#212121,color:#fff
style OTel fill:#2e7d32,stroke:#1b5e20,color:#fff
style Journal fill:#e65100,stroke:#bf360c,color:#fff
style Collector fill:#2e7d32,stroke:#1b5e20,color:#fff
```
- **Better metrics?** Yes — Prometheus gives native histograms (p50/p95/p99), multi-dimensional labels, and exemplars linking metric spikes to traces.
- **Codebase**: Remove `Beast::Insight` + `StatsDCollector` (~2000 LOC). Single SDK for traces and metrics.
- **Operator effort**: Rewrite dashboards from StatsD/Graphite queries to PromQL. Run both in parallel during transition.
- **Risk**: Medium — operators must migrate monitoring infrastructure.
### Scenario C: + OTel Logs (Full Stack)
> Also replace Journal logging with OTel Logs API. Single SDK for everything.
```mermaid
flowchart LR
subgraph xrpld["xrpld Process"]
OTel["OTel SDK<br/>(Traces + Metrics + Logs)"]
end
OTel -->|"OTLP"| Collector["OTel Collector"]
Collector --> Tempo["Tempo<br/>(Traces)"]
Collector --> Prom["Prometheus<br/>(Metrics)"]
Collector --> Loki["Loki / Elastic<br/>(Logs)"]
style xrpld fill:#424242,stroke:#212121,color:#fff
style OTel fill:#2e7d32,stroke:#1b5e20,color:#fff
style Collector fill:#2e7d32,stroke:#1b5e20,color:#fff
```
- **Structured logging**: OTel Logs API outputs structured records with `trace_id`, `span_id`, severity, and attributes by design.
- **Full correlation**: Every log line carries `trace_id`. Click trace → see logs. Click metric spike → see trace → see logs.
- **Codebase**: Remove Beast Insight (~2000 LOC) + simplify Journal/PerfLog (~3000 LOC). One dependency instead of three.
- **Risk**: Highest — `beast::Journal` is deeply embedded in every component. Large refactor. OTel C++ Logs API is newer (stable since v1.11, less battle-tested).
### Recommendation
```mermaid
flowchart LR
A["Phase 1<br/><b>Traces Only</b><br/>(Current Plan)"] --> B["Phase 2<br/><b>+ Metrics</b><br/>(Replace StatsD)"] --> C["Phase 3<br/><b>+ Logs</b><br/>(Full OTel)"]
style A fill:#2e7d32,stroke:#1b5e20,color:#fff
style B fill:#1565c0,stroke:#0d47a1,color:#fff
style C fill:#e65100,stroke:#bf360c,color:#fff
```
| Phase | Signal | Strategy | Risk |
| -------------------- | --------- | -------------------------------------------------------------- | ------ |
| **Phase 1** (now) | Traces | Add OTel traces. Keep StatsD and Journal. Prove value. | Low |
| **Phase 2** (future) | + Metrics | Migrate StatsD → Prometheus via OTel. Remove Beast Insight. | Medium |
| **Phase 3** (future) | + Logs | Adopt OTel Logs API. Align with structured logging initiative. | High |
> **Key Takeaway**: Start with traces (unique value, lowest risk), then incrementally adopt metrics and logs as the OTel infrastructure proves itself.
---
## Slide 5: Comparison with xrpld's Existing Solutions
### Current Observability Stack
| Aspect | PerfLog (JSON) | StatsD (Metrics) | OpenTelemetry (NEW) |
| --------------------- | --------------------- | --------------------- | --------------------------- |
| **Type** | Logging | Metrics | Distributed Tracing |
| **Scope** | Single node | Single node | **Cross-node** |
| **Data** | JSON log entries | Counters, gauges | Spans with context |
| **Correlation** | By timestamp | By metric name | By `trace_id` |
| **Overhead** | Low (file I/O) | Low (UDP) | Low-Medium (configurable) |
| **Question Answered** | "What happened here?" | "How many? How fast?" | **"What was the journey?"** |
### Use Case Matrix
| Scenario | PerfLog | StatsD | OpenTelemetry |
| -------------------------------- | ------- | ------ | ------------- |
| "How many TXs per second?" | ❌ | ✅ | ❌ |
| "Why was this specific TX slow?" | ⚠️ | ❌ | ✅ |
| "Which node delayed consensus?" | ❌ | ❌ | ✅ |
| "Show TX journey across 5 nodes" | ❌ | ❌ | ✅ |
> **Key Insight**: In the **traces-only** approach (Phase 1), OpenTelemetry **complements** existing systems. In future phases, OTel metrics and logs could **replace** StatsD and Journal respectively — see Slides 3-4 for the full adoption roadmap.
---
## Slide 6: Architecture
> **OTLP** = OpenTelemetry Protocol | **WS** = WebSocket
### High-Level Integration Architecture
```mermaid
flowchart TB
subgraph xrpld["xrpld Node"]
subgraph services["Core Services"]
direction LR
RPC["RPC Server<br/>(HTTP/WS)"] ~~~ Overlay["Overlay<br/>(P2P Network)"] ~~~ Consensus["Consensus<br/>(RCLConsensus)"]
end
Telemetry["Telemetry Module<br/>(OpenTelemetry SDK)"]
services --> Telemetry
end
Telemetry -->|OTLP/gRPC| Collector["OTel Collector"]
Collector --> Tempo["Grafana Tempo"]
Collector --> Elastic["Elastic APM"]
style xrpld fill:#424242,stroke:#212121,color:#fff
style services fill:#1565c0,stroke:#0d47a1,color:#fff
style Telemetry fill:#2e7d32,stroke:#1b5e20,color:#fff
style Collector fill:#e65100,stroke:#bf360c,color:#fff
```
**Reading the diagram:**
- **Core Services (blue, top)**: RPC Server, Overlay, and Consensus are the three primary components that generate trace data — they represent the entry points for client requests, peer messages, and consensus rounds respectively.
- **Telemetry Module (green, middle)**: The OpenTelemetry SDK sits below the core services and receives span data from all three; it acts as a single collection point within the xrpld process.
- **OTel Collector (orange, center)**: An external process that receives spans over OTLP/gRPC from the Telemetry Module; it decouples xrpld from backend choices and handles batching, sampling, and routing.
- **Backends (bottom row)**: Tempo and Elastic APM are interchangeable — the Collector fans out to any combination, so operators can switch backends without modifying xrpld code.
- **Top-to-bottom flow**: Data flows from instrumented code down through the SDK, out over the network to the Collector, and finally into storage/visualization backends.
### Context Propagation
```mermaid
sequenceDiagram
participant Client
participant NodeA as Node A
participant NodeB as Node B
Client->>NodeA: Submit TX (no context)
Note over NodeA: Creates trace_id: abc123<br/>span: tx.receive
NodeA->>NodeB: Relay TX<br/>(traceparent: abc123)
Note over NodeB: Links to trace_id: abc123<br/>span: tx.relay
```
- **HTTP/RPC**: W3C Trace Context headers (`traceparent`)
- **P2P Messages**: Protocol Buffer extension fields
---
## Slide 7: Implementation Plan
### 5-Phase Rollout (9 Weeks)
> **Note**: Dates shown are relative to project start, not calendar dates.
```mermaid
gantt
title Implementation Timeline
dateFormat YYYY-MM-DD
axisFormat Week %W
section Phase 1
Core Infrastructure :p1, 2024-01-01, 2w
section Phase 2
RPC Tracing :p2, after p1, 2w
section Phase 3
Transaction Tracing :p3, after p2, 2w
section Phase 4
Consensus Tracing :p4, after p3, 2w
section Phase 5
Documentation :p5, after p4, 1w
```
### Phase Details
| Phase | Focus | Key Deliverables | Effort |
| ----- | ------------------- | -------------------------------------------- | ------- |
| 1 | Core Infrastructure | SDK integration, Telemetry interface, Config | 10 days |
| 2 | RPC Tracing | HTTP context extraction, Handler spans | 10 days |
| 3 | Transaction Tracing | Protobuf context, P2P relay propagation | 10 days |
| 4 | Consensus Tracing | Round spans, Proposal/validation tracing | 10 days |
| 5 | Documentation | Runbook, Dashboards, Training | 7 days |
**Total Effort**: ~47 developer-days (2 developers)
> **Future Phases** (not in current scope): After traces are stable, OTel metrics can replace StatsD (~3 weeks), and OTel logs can replace Journal (~4 weeks, aligned with structured logging initiative). See Slides 3-4 for the full adoption roadmap.
---
## Slide 8: Performance Overhead
> **OTLP** = OpenTelemetry Protocol
### Estimated System Impact
| Metric | Overhead | Notes |
| ----------------- | ---------- | ------------------------------------------------ |
| **CPU** | 1-3% | Span creation and attribute setting |
| **Memory** | ~10 MB | SDK statics + batch buffer + worker thread stack |
| **Network** | 10-50 KB/s | Compressed OTLP export to collector |
| **Latency (p99)** | <2% | With proper sampling configuration |
#### How We Arrived at These Numbers
**Assumptions (XRPL mainnet baseline)**:
| Parameter | Value | Source |
| ------------------------- | ---------------------- | --------------------------------------------------------------------------------------------------- |
| Transaction throughput | ~25 TPS (peaks to ~50) | Mainnet average |
| Default peers per node | 21 | `peerfinder/detail/Tuning.h` (`defaultMaxPeers`) |
| Consensus round frequency | ~1 round / 3-4 seconds | `ConsensusParms.h` (`ledgerMIN_CONSENSUS=1950ms`) |
| Proposers per round | ~20-35 | Mainnet UNL size |
| P2P message rate | ~160 msgs/sec | See message breakdown below |
| Avg TX processing time | ~200 μs | Profiled baseline |
| Single span creation cost | 500-1000 ns | OTel C++ SDK benchmarks (see [3.5.4](./03-implementation-strategy.md#354-performance-data-sources)) |
**P2P message breakdown** (per node, mainnet):
| Message Type | Rate | Derivation |
| ------------- | ------------ | --------------------------------------------------------------------- |
| TMTransaction | ~100/sec | ~25 TPS × ~4 relay hops per TX, deduplicated by HashRouter |
| TMValidation | ~50/sec | ~35 validators × ~1 validation/3s round ~12/sec, plus relay fan-out |
| TMProposeSet | ~10/sec | ~35 proposers / 3s round ~12/round, clustered in establish phase |
| **Total** | **~160/sec** | **Only traced message types counted** |
**CPU (1-3%) — Calculation**:
Per-transaction tracing cost breakdown:
| Operation | Cost | Notes |
| ----------------------------------------------- | ----------- | ------------------------------------------ |
| `tx.receive` span (create + end + 4 attributes) | ~1400 ns | ~1000ns create + ~200ns end + 4×50ns attrs |
| `tx.validate` span | ~1200 ns | ~1000ns create + ~200ns for 2 attributes |
| `tx.relay` span | ~1200 ns | ~1000ns create + ~200ns for 2 attributes |
| Context injection into P2P message | ~200 ns | Serialize trace_id + span_id into protobuf |
| **Total per TX** | **~4.0 μs** | |
> **CPU overhead**: 4.0 μs / 200 μs baseline = **~2.0% per transaction**. Under high load with consensus + RPC spans overlapping, reaches ~3%. Consensus itself adds only ~36 μs per 3-second round (~0.001%), so the TX path dominates. On production server hardware (3+ GHz Xeon), span creation drops to ~500-600 ns, bringing per-TX cost to ~2.6 μs (~1.3%). See [Section 3.5.4](./03-implementation-strategy.md#354-performance-data-sources) for benchmark sources.
**Memory (~10 MB) — Calculation**:
| Component | Size | Notes |
| --------------------------------------------- | ------------------ | ------------------------------------- |
| TracerProvider + Exporter (gRPC channel init) | ~320 KB | Allocated once at startup |
| BatchSpanProcessor (circular buffer) | ~16 KB | 2049 × 8-byte AtomicUniquePtr entries |
| BatchSpanProcessor (worker thread stack) | ~8 MB | Default Linux thread stack size |
| Active spans (in-flight, max ~1000) | ~500-800 KB | ~500-800 bytes/span × 1000 concurrent |
| Export queue (batch buffer, max 2048 spans) | ~1 MB | ~500 bytes/span × 2048 queue depth |
| Thread-local context storage (~100 threads) | ~6.4 KB | ~64 bytes/thread |
| **Total** | **~10 MB ceiling** | |
> Memory plateaus once the export queue fills — the `max_queue_size=2048` config bounds growth.
> The worker thread stack (~8 MB) dominates the static footprint but is virtual memory; actual RSS
> depends on stack usage (typically much less). Active spans are larger than originally estimated
> (~500-800 bytes) because the OTel SDK `Span` object includes a mutex (~40 bytes), `SpanData`
> recordable (~250 bytes base), and `std::map`-based attribute storage (~200-500 bytes for 3-5
> string attributes). See [Section 3.5.4](./03-implementation-strategy.md#354-performance-data-sources) for source references.
**Network (10-50 KB/s) — Calculation**:
Two sources of network overhead:
**(A) OTLP span export to Collector:**
| Sampling Rate | Effective Spans/sec | Avg Span Size (compressed) | Bandwidth |
| -------------------------- | ------------------- | -------------------------- | ------------ |
| 100% (dev only) | ~500 | ~500 bytes | ~250 KB/s |
| **10% (recommended prod)** | **~50** | **~500 bytes** | **~25 KB/s** |
| 1% (minimal) | ~5 | ~500 bytes | ~2.5 KB/s |
> The ~500 spans/sec at 100% comes from: ~100 TX spans + ~160 P2P context spans + ~23 consensus spans/round + ~50 RPC spans = ~500/sec. OTLP protobuf with gzip compression yields ~500 bytes/span average.
**(B) P2P trace context overhead** (added to existing messages, always-on regardless of sampling):
| Message Type | Rate | Context Size | Bandwidth |
| ------------- | -------- | ------------ | ------------- |
| TMTransaction | ~100/sec | 29 bytes | ~2.9 KB/s |
| TMValidation | ~50/sec | 29 bytes | ~1.5 KB/s |
| TMProposeSet | ~10/sec | 29 bytes | ~0.3 KB/s |
| **Total P2P** | | | **~4.7 KB/s** |
> **Combined**: 25 KB/s (OTLP export at 10%) + 5 KB/s (P2P context) ≈ **~30 KB/s typical**. The 10-50 KB/s range covers 10-20% sampling under normal to peak mainnet load.
**Latency (<2%) — Calculation**:
| Path | Tracing Cost | Baseline | Overhead |
| ------------------------------ | ------------ | -------- | -------- |
| Fast RPC (e.g., `server_info`) | 2.75 μs | ~1 ms | 0.275% |
| Slow RPC (e.g., `path_find`) | 2.75 μs | ~100 ms | 0.003% |
| Transaction processing | 4.0 μs | ~200 μs | 2.0% |
| Consensus round | 36 μs | ~3 sec | 0.001% |
> At p99, even the worst case (TX processing at 2.0%) is within the 1-3% range. RPC and consensus overhead are negligible. On production hardware, TX overhead drops to ~1.3%.
### Per-Message Overhead (Context Propagation)
Each P2P message carries trace context with the following overhead:
| Field | Size | Description |
| ------------- | ------------- | ----------------------------------------- |
| `trace_id` | 16 bytes | Unique identifier for the entire trace |
| `span_id` | 8 bytes | Current span (becomes parent on receiver) |
| `trace_flags` | 1 byte | Sampling decision flags |
| `trace_state` | 0-4 bytes | Optional vendor-specific data |
| **Total** | **~29 bytes** | **Added per traced P2P message** |
```mermaid
flowchart LR
subgraph msg["P2P Message with Trace Context"]
A["Original Message<br/>(variable size)"] --> B["+ TraceContext<br/>(~29 bytes)"]
end
subgraph breakdown["Context Breakdown"]
C["trace_id<br/>16 bytes"]
D["span_id<br/>8 bytes"]
E["flags<br/>1 byte"]
F["state<br/>0-4 bytes"]
end
B --> breakdown
style A fill:#424242,stroke:#212121,color:#fff
style B fill:#2e7d32,stroke:#1b5e20,color:#fff
style C fill:#1565c0,stroke:#0d47a1,color:#fff
style D fill:#1565c0,stroke:#0d47a1,color:#fff
style E fill:#e65100,stroke:#bf360c,color:#fff
style F fill:#4a148c,stroke:#2e0d57,color:#fff
```
**Reading the diagram:**
- **Original Message (gray, left)**: The existing P2P message payload of variable size this is unchanged; trace context is appended, never modifying the original data.
- **+ TraceContext (green, right of message)**: The additional 29-byte context block attached to each traced message; the arrow from the original message shows it is a pure addition.
- **Context Breakdown (right subgraph)**: The four fields `trace_id` (16 bytes), `span_id` (8 bytes), `flags` (1 byte), and `state` (0-4 bytes) show exactly what is added and their individual sizes.
- **Color coding**: Blue fields (`trace_id`, `span_id`) are the core identifiers required for trace correlation; orange (`flags`) controls sampling decisions; purple (`state`) is optional vendor data typically omitted.
> **Note**: 29 bytes represents ~1-6% overhead depending on message size (500B simple TX to 5KB proposal), which is acceptable for the observability benefits provided.
### Mitigation Strategies
```mermaid
flowchart LR
A["Head Sampling<br/>10% default"] --> B["Tail Sampling<br/>Keep errors/slow"] --> C["Batch Export<br/>Reduce I/O"] --> D["Conditional Compile<br/>XRPL_ENABLE_TELEMETRY"]
style A fill:#1565c0,stroke:#0d47a1,color:#fff
style B fill:#2e7d32,stroke:#1b5e20,color:#fff
style C fill:#e65100,stroke:#bf360c,color:#fff
style D fill:#4a148c,stroke:#2e0d57,color:#fff
```
> For a detailed explanation of head vs. tail sampling, see Slide 9.
### Kill Switches (Rollback Options)
1. **Config Disable**: Set `enabled=0` in config instant disable, no restart needed for sampling
2. **Rebuild**: Compile with `XRPL_ENABLE_TELEMETRY=OFF` zero overhead (no-op)
3. **Full Revert**: Clean separation allows easy commit reversion
---
## Slide 9: Sampling Strategies — Head vs. Tail
> Sampling controls **which traces are recorded and exported**. Without sampling, every operation generates a trace — at 500+ spans/sec, this overwhelms storage and network. Sampling lets you keep the signal, discard the noise.
### Head Sampling (Decision at Start)
The sampling decision is made **when a trace begins**, before any work is done. A random number is generated; if it falls within the configured ratio, the entire trace is recorded. Otherwise, the trace is silently dropped.
```mermaid
flowchart LR
A["New Request<br/>Arrives"] --> B{"Random < 10%?"}
B -->|"Yes (1 in 10)"| C["Record Entire Trace<br/>(all spans)"]
B -->|"No (9 in 10)"| D["Drop Entire Trace<br/>(zero overhead)"]
style C fill:#2e7d32,stroke:#1b5e20,color:#fff
style D fill:#c62828,stroke:#8c2809,color:#fff
style B fill:#1565c0,stroke:#0d47a1,color:#fff
```
| Aspect | Details |
| ----------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| **Where it runs** | Inside xrpld (SDK-level). Configured via `sampling_ratio` in `xrpld.cfg`. |
| **When the decision happens** | At trace creation time before the first span is even populated. |
| **How it works** | `sampling_ratio=0.1` means each trace has a 10% probability of being recorded. Dropped traces incur near-zero overhead (no spans created, no attributes set, no export). |
| **Propagation** | Once a trace is sampled, the `trace_flags` field (1 byte in the context header) tells downstream nodes to also sample it. Unsampled traces propagate `trace_flags=0`, so downstream nodes skip them too. |
| **Pros** | Lowest overhead. Simple to configure. Predictable resource usage. |
| **Cons** | **Blind** it doesn't know if the trace will be interesting. A rare error or slow consensus round has only a 10% chance of being captured. |
| **Best for** | High-volume, steady-state traffic where most traces look similar (e.g., routine RPC requests). |
**xrpld configuration**:
```ini
[telemetry]
# Record 10% of traces (recommended for production)
sampling_ratio=0.1
```
### Tail Sampling (Decision at End)
The sampling decision is made **after the trace completes**, based on its actual content was it slow? Did it error? Was it a consensus round? This requires buffering complete traces before deciding.
```mermaid
flowchart TB
A["All Traces<br/>Buffered (100%)"] --> B["OTel Collector<br/>Evaluates Rules"]
B --> C{"Error?"}
C -->|Yes| K["KEEP"]
C -->|No| D{"Slow?<br/>(>5s consensus,<br/>>1s RPC)"}
D -->|Yes| K
D -->|No| E{"Random < 10%?"}
E -->|Yes| K
E -->|No| F["DROP"]
style K fill:#2e7d32,stroke:#1b5e20,color:#fff
style F fill:#c62828,stroke:#8c2809,color:#fff
style B fill:#1565c0,stroke:#0d47a1,color:#fff
style C fill:#e65100,stroke:#bf360c,color:#fff
style D fill:#e65100,stroke:#bf360c,color:#fff
style E fill:#4a148c,stroke:#2e0d57,color:#fff
```
| Aspect | Details |
| ----------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| **Where it runs** | In the **OTel Collector** (external process), not inside xrpld. xrpld exports 100% of traces; the Collector decides what to keep. |
| **When the decision happens** | After the Collector has received all spans for a trace (waits `decision_wait=10s` for stragglers). |
| **How it works** | Policy rules evaluate the completed trace: keep all errors, keep slow operations above a threshold, keep all consensus rounds, then probabilistically sample the rest at 10%. |
| **Pros** | **Never misses important traces**. Errors, slow requests, and consensus anomalies are always captured regardless of probability. |
| **Cons** | Higher resource usage xrpld must export 100% of spans to the Collector, which buffers them in memory before deciding. The Collector needs more RAM (configured via `num_traces` and `decision_wait`). |
| **Best for** | Production troubleshooting where you can't afford to miss errors or anomalies. |
**Collector configuration** (tail sampling rules for xrpld):
```yaml
processors:
tail_sampling:
decision_wait: 10s # Wait for all spans in a trace
num_traces: 100000 # Buffer up to 100K concurrent traces
policies:
- name: errors # Always keep error traces
type: status_code
status_code: { status_codes: [ERROR] }
- name: slow-consensus # Keep consensus rounds >5s
type: latency
latency: { threshold_ms: 5000 }
- name: slow-rpc # Keep slow RPC requests >1s
type: latency
latency: { threshold_ms: 1000 }
- name: probabilistic # Sample 10% of everything else
type: probabilistic
probabilistic: { sampling_percentage: 10 }
```
### Head vs. Tail — Side-by-Side
| | Head Sampling | Tail Sampling |
| ----------------------------- | ---------------------------------------- | ------------------------------------------------ |
| **Decision point** | Trace start (inside xrpld) | Trace end (in OTel Collector) |
| **Knows trace content?** | No (random coin flip) | Yes (evaluates completed trace) |
| **Overhead on xrpld** | Lowest (dropped traces = no-op) | Higher (must export 100% to Collector) |
| **Collector resource usage** | Low (receives only sampled traces) | Higher (buffers all traces before deciding) |
| **Captures all errors?** | No (only if trace was randomly selected) | **Yes** (error policy catches them) |
| **Captures slow operations?** | No (random) | **Yes** (latency policy catches them) |
| **Configuration** | `xrpld.cfg`: `sampling_ratio=0.1` | `otel-collector.yaml`: `tail_sampling` processor |
| **Best for** | High-throughput steady-state | Troubleshooting & anomaly detection |
### Recommended Strategy for xrpld
Use **both** in a layered approach:
```mermaid
flowchart LR
subgraph xrpld["xrpld (Head Sampling)"]
HS["sampling_ratio=1.0<br/>(export everything)"]
end
subgraph collector["OTel Collector (Tail Sampling)"]
TS["Keep: errors + slow + 10% random<br/>Drop: routine traces"]
end
subgraph storage["Backend Storage"]
ST["Only interesting traces<br/>stored long-term"]
end
xrpld -->|"100% of spans"| collector -->|"~15-20% kept"| storage
style xrpld fill:#424242,stroke:#212121,color:#fff
style collector fill:#1565c0,stroke:#0d47a1,color:#fff
style storage fill:#2e7d32,stroke:#1b5e20,color:#fff
```
> **Why this works**: xrpld exports everything (no blind drops), the Collector applies intelligent filtering (keep errors/slow/anomalies, sample the rest), and only ~15-20% of traces reach storage. If Collector resource usage becomes a concern, add head sampling at `sampling_ratio=0.5` to halve the export volume while still giving the Collector enough data for good tail-sampling decisions.
---
## Slide 10: Data Collection & Privacy
### What Data is Collected
| Category | Attributes Collected | Purpose |
| --------------- | ------------------------------------------------------------------------------------ | --------------------------- |
| **Transaction** | `tx.hash`, `tx.type`, `tx.result`, `tx.fee`, `ledger_index` | Trace transaction lifecycle |
| **Consensus** | `round`, `phase`, `mode`, `proposers` (count of proposing validators), `duration_ms` | Analyze consensus timing |
| **RPC** | `command`, `version`, `status`, `duration_ms` | Monitor RPC performance |
| **Peer** | `peer.id`(public key), `latency_ms`, `message.type`, `message.size` | Network topology analysis |
| **Ledger** | `ledger.hash`, `ledger.index`, `close_time`, `tx_count` | Ledger progression tracking |
| **Job** | `job.type`, `queue_ms`, `worker` | JobQueue performance |
### What is NOT Collected (Privacy Guarantees)
```mermaid
flowchart LR
subgraph notCollected["❌ NOT Collected"]
direction LR
A["Private Keys"] ~~~ B["Account Balances"] ~~~ C["Transaction Amounts"]
end
subgraph alsoNot["❌ Also Excluded"]
direction LR
D["IP Addresses<br/>(configurable)"] ~~~ E["Personal Data"] ~~~ F["Raw TX Payloads"]
end
style A fill:#c62828,stroke:#8c2809,color:#fff
style B fill:#c62828,stroke:#8c2809,color:#fff
style C fill:#c62828,stroke:#8c2809,color:#fff
style D fill:#c62828,stroke:#8c2809,color:#fff
style E fill:#c62828,stroke:#8c2809,color:#fff
style F fill:#c62828,stroke:#8c2809,color:#fff
```
**Reading the diagram:**
- **NOT Collected (top row, red)**: Private Keys, Account Balances, and Transaction Amounts are explicitly excluded these are financial/security-sensitive fields that telemetry never touches.
- **Also Excluded (bottom row, red)**: IP Addresses (configurable per deployment), Personal Data, and Raw TX Payloads are also excluded these protect operator and user privacy.
- **All-red styling**: Every box is styled in red to visually reinforce that these are hard exclusions, not optional the telemetry system has no code path to collect any of these fields.
- **Two-row layout**: The split between "NOT Collected" and "Also Excluded" distinguishes between financial data (top) and operational/personal data (bottom), making the privacy boundaries clear to auditors.
### Privacy Protection Mechanisms
| Mechanism | Description |
| -------------------------- | ------------------------------------------------------------- |
| **Account Hashing** | `xrpl.tx.account` is hashed at collector level before storage |
| **Configurable Redaction** | Sensitive fields can be excluded via config |
| **Sampling** | Only 10% of traces recorded by default (reduces exposure) |
| **Local Control** | Node operators control what gets exported |
| **No Raw Payloads** | Transaction content is never recorded, only metadata |
> **Key Principle**: Telemetry collects **operational metadata** (timing, counts, hashes) — never **sensitive content** (keys, balances, amounts).
---
_End of Presentation_

View File

@@ -1,8 +1,8 @@
#!/bin/bash
if [[ $# -ne 1 || "$1" == "--help" || "$1" == "-h" ]]; then
name=$(basename $0)
cat <<-USAGE
name=$( basename $0 )
cat <<- USAGE
Usage: $name <username>
Where <username> is the Github username of the upstream repo. e.g. XRPLF
@@ -14,7 +14,7 @@ fi
shift
user="$1"
# Get the origin URL. Expect it be an SSH-style URL
origin=$(git remote get-url origin)
origin=$( git remote get-url origin )
if [[ "${origin}" == "" ]]; then
echo Invalid origin remote >&2
exit 1
@@ -22,11 +22,11 @@ fi
# echo "Origin: ${origin}"
# Parse the origin
ifs_orig="${IFS}"
IFS=':' read remote originpath <<<"${origin}"
IFS=':' read remote originpath <<< "${origin}"
# echo "Remote: ${remote}, Originpath: ${originpath}"
IFS='@' read sshuser server <<<"${remote}"
IFS='@' read sshuser server <<< "${remote}"
# echo "SSHUser: ${sshuser}, Server: ${server}"
IFS='/' read originuser repo <<<"${originpath}"
IFS='/' read originuser repo <<< "${originpath}"
# echo "Originuser: ${originuser}, Repo: ${repo}"
if [[ "${sshuser}" == "" || "${server}" == "" || "${originuser}" == "" || "${repo}" == "" ]]; then
echo "Can't parse origin URL: ${origin}" >&2
@@ -35,9 +35,9 @@ fi
upstream="https://${server}/${user}/${repo}"
upstreampush="${remote}:${user}/${repo}"
upstreamgroup="upstream upstream-push"
current=$(git remote get-url upstream 2>/dev/null)
currentpush=$(git remote get-url upstream-push 2>/dev/null)
currentgroup=$(git config remotes.upstreams)
current=$( git remote get-url upstream 2>/dev/null )
currentpush=$( git remote get-url upstream-push 2>/dev/null )
currentgroup=$( git config remotes.upstreams )
if [[ "${current}" == "${upstream}" ]]; then
echo "Upstream already set up correctly. Skip"
elif [[ -n "${current}" && "${current}" != "${upstream}" && "${current}" != "${upstreampush}" ]]; then
@@ -45,9 +45,9 @@ elif [[ -n "${current}" && "${current}" != "${upstream}" && "${current}" != "${u
else
if [[ "${current}" == "${upstreampush}" ]]; then
echo "Upstream set to dangerous push URL. Update."
_run git remote rename upstream upstream-push ||
_run git remote remove upstream
currentpush=$(git remote get-url upstream-push 2>/dev/null)
_run git remote rename upstream upstream-push || \
_run git remote remove upstream
currentpush=$( git remote get-url upstream-push 2>/dev/null )
fi
_run git remote add upstream "${upstream}"
fi

View File

@@ -1,8 +1,8 @@
#!/bin/bash
if [[ $# -lt 3 || "$1" == "--help" || "$1" = "-h" ]]; then
name=$(basename $0)
cat <<-USAGE
name=$( basename $0 )
cat <<- USAGE
Usage: $name workbranch base/branch user/branch [user/branch [...]]
* workbranch will be created locally from base/branch
@@ -16,7 +16,7 @@ fi
work="$1"
shift
branches=($(echo "${@}" | sed "s/:/\//"))
branches=( $( echo "${@}" | sed "s/:/\//" ) )
base="${branches[0]}"
unset branches[0]
@@ -24,10 +24,10 @@ set -e
users=()
for b in "${branches[@]}"; do
users+=($(echo $b | cut -d/ -f1))
users+=( $( echo $b | cut -d/ -f1 ) )
done
users=($(printf '%s\n' "${users[@]}" | sort -u))
users=( $( printf '%s\n' "${users[@]}" | sort -u ) )
git fetch --multiple upstreams "${users[@]}"
git checkout -B "$work" --no-track "$base"
@@ -40,7 +40,7 @@ done
# Make sure the commits look right
git log --show-signature "$base..HEAD"
parts=($(echo $base | sed "s/\// /"))
parts=( $( echo $base | sed "s/\// /" ) )
repo="${parts[0]}"
b="${parts[1]}"
push=$repo
@@ -50,7 +50,7 @@ fi
if [[ "$repo" == "upstream" ]]; then
repo="upstreams"
fi
cat <<PUSH
cat << PUSH
-------------------------------------------------------------------
This script will not push. Verify everything is correct, then push

View File

@@ -1,8 +1,8 @@
#!/bin/bash
if [[ $# -ne 3 || "$1" == "--help" || "$1" = "-h" ]]; then
name=$(basename $0)
cat <<-USAGE
name=$( basename $0 )
cat <<- USAGE
Usage: $name workbranch base/branch version
* workbranch will be created locally from base/branch. If it exists,
@@ -16,7 +16,7 @@ fi
work="$1"
shift
base=$(echo "$1" | sed "s/:/\//")
base=$( echo "$1" | sed "s/:/\//" )
shift
version=$1
@@ -28,16 +28,16 @@ git fetch upstreams
git checkout -B "${work}" --no-track "${base}"
push=$(git rev-parse --abbrev-ref --symbolic-full-name '@{push}' \
2>/dev/null) || true
push=$( git rev-parse --abbrev-ref --symbolic-full-name '@{push}' \
2>/dev/null ) || true
if [[ "${push}" != "" ]]; then
echo "Warning: ${push} may already exist."
fi
build=$(find -name BuildInfo.cpp)
sed 's/\(^.*versionString =\).*$/\1 "'${version}'"/' ${build} >version.cpp &&
diff "${build}" version.cpp && exit 1 ||
mv -vi version.cpp ${build}
build=$( find -name BuildInfo.cpp )
sed 's/\(^.*versionString =\).*$/\1 "'${version}'"/' ${build} > version.cpp && \
diff "${build}" version.cpp && exit 1 || \
mv -vi version.cpp ${build}
git diff
@@ -47,7 +47,7 @@ git commit -S -m "Set version to ${version}"
git log --oneline --first-parent ${base}^..
cat <<PUSH
cat << PUSH
-------------------------------------------------------------------
This script will not push. Verify everything is correct, then push

View File

@@ -168,13 +168,7 @@ def main():
if not os.environ.get("TIDY"):
return 0
repo_root = Path(
subprocess.check_output(
["git", "rev-parse", "--show-toplevel"],
cwd=Path(__file__).parent,
text=True,
).strip()
)
repo_root = Path(__file__).parent.parent
files = staged_files(repo_root)
if not files:
return 0

View File

@@ -28,7 +28,7 @@
# https://vl.ripple.com
# https://unl.xrplf.org
# http://127.0.0.1:8000
# file:///etc/xrpld/vl.txt
# file:///etc/opt/xrpld/vl.txt
#
# [validator_list_keys]
#

View File

@@ -527,17 +527,6 @@
#
# The current default (which is subject to change) is 300 seconds.
#
# verify_endpoints = <0 | 1>
#
# If set to 0, the server will skip validation of endpoint
# addresses received in TMEndpoints peer protocol messages,
# allowing addresses that are not publicly routable or have a
# port of 0. The default is 1 (verification enabled).
#
# WARNING: Disabling this option is a security risk and should
# only be used for local testing and debugging. Do not disable
# on mainnet.
#
#
# [transaction_queue] EXPERIMENTAL
#
@@ -953,21 +942,6 @@
#
# Optional keys for NuDB and RocksDB:
#
# cache_size Size of cache for database records. Default is 16384.
# Setting this value to 0 will use the default value.
#
# cache_age Length of time in minutes to keep database records
# cached. Default is 5 minutes. Setting this value to
# 0 will use the default value.
#
# Note: if cache_size or cache_age is not specified,
# default values will be used for the unspecified
# parameter.
#
# Note: the cache will not be created if online_delete
# is specified, because the rotating NodeStore does
# not use this cache).
#
# fast_load Boolean. If set, load the last persisted ledger
# from disk upon process start before syncing to
# the network. This is likely to improve performance
@@ -1284,7 +1258,7 @@
# default. Don't change this without understanding the consequences.
#
# Example:
# account_reserve = 1000000 # 1 XRP
# account_reserve = 10000000 # 10 XRP
#
# owner_reserve = <drops>
#
@@ -1296,7 +1270,7 @@
# default. Don't change this without understanding the consequences.
#
# Example:
# owner_reserve = 200000 # 0.2 XRP
# owner_reserve = 2000000 # 2 XRP
#
#-------------------------------------------------------------------------------
#
@@ -1481,7 +1455,10 @@ admin = 127.0.0.1
protocol = http
[port_peer]
port = 2459
# Many servers still use the legacy port of 51235, so for backward-compatibility
# we maintain that port number here. However, for new servers we recommend
# changing this to the default port of 2459.
port = 51235
ip = 0.0.0.0
# alternatively, to accept connections on IPv4 + IPv6, use:
#ip = ::
@@ -1621,65 +1598,3 @@ validators.txt
# set to ssl_verify to 0.
[ssl_verify]
1
#-------------------------------------------------------------------------------
#
# 11. Telemetry (OpenTelemetry Tracing)
#
#-------------------------------------------------------------------------------
#
# Enables distributed tracing via OpenTelemetry. Requires building with
# -DXRPL_ENABLE_TELEMETRY=ON (telemetry Conan option).
#
# [telemetry]
#
# enabled=0
#
# Enable or disable telemetry at runtime. Default: 0 (disabled).
#
# service_name=xrpld
#
# OTel resource attribute `service.name`. Default: xrpld.
# The node's network ID (from [network_id]) is automatically added
# as the `xrpl.network.id` and `xrpl.network.type` resource attributes.
#
# endpoint=http://localhost:4318/v1/traces
#
# The OTLP/HTTP exporter endpoint. The server sends trace data as
# protobuf-encoded HTTP POST requests to this URL.
# Default: http://localhost:4318/v1/traces.
#
# sampling_ratio=1.0
#
# Head-based sampling ratio using TraceIdRatioBasedSampler. The decision
# to record or drop a trace is made at span creation time, before the
# span starts, based on the trace ID. Values in [0.0, 1.0].
# 1.0 = trace everything, 0.1 = sample ~10% of traces. Default: 1.0.
# For tail-based (post-hoc) filtering — where you decide to drop a span
# after inspecting its content — use SpanGuard::discard() in code.
#
# trace_rpc=1
#
# Enable tracing for JSON-RPC and WebSocket API request handling —
# command parsing, execution, and response serialization. Default: 1.
#
# trace_transactions=1
#
# Enable tracing for the transaction lifecycle — submission, validation,
# application to ledgers, and final disposition. Default: 1.
#
# trace_consensus=1
#
# Enable tracing for the consensus round lifecycle — proposals,
# validations, mode changes, and ledger acceptance. Default: 1.
#
# trace_peer=0
#
# Enable tracing for peer-to-peer protocol messages — overlay message
# send/receive, peer handshakes, and routing. High volume; disabled
# by default. Default: 0.
#
# trace_ledger=1
#
# Enable tracing for ledger close and accept operations — ledger
# building, state hashing, and write-back to the node store. Default: 1.
#

View File

@@ -192,23 +192,6 @@ target_link_libraries(
add_module(xrpl tx)
target_link_libraries(xrpl.libxrpl.tx PUBLIC xrpl.libxrpl.ledger)
# Telemetry module — OpenTelemetry distributed tracing support.
# Sources: include/xrpl/telemetry/ (headers), src/libxrpl/telemetry/ (impl).
# When telemetry=ON, links the Conan-provided umbrella target
# opentelemetry-cpp::opentelemetry-cpp (individual component targets like
# ::api, ::sdk are not available in the Conan package).
add_module(xrpl telemetry)
target_link_libraries(
xrpl.libxrpl.telemetry
PUBLIC xrpl.libxrpl.basics xrpl.libxrpl.beast
)
if(telemetry)
target_link_libraries(
xrpl.libxrpl.telemetry
PUBLIC opentelemetry-cpp::opentelemetry-cpp
)
endif()
add_library(xrpl.libxrpl)
set_target_properties(xrpl.libxrpl PROPERTIES OUTPUT_NAME xrpl)
@@ -240,7 +223,6 @@ target_link_modules(
resource
server
shamap
telemetry
tx
)

View File

@@ -1,44 +0,0 @@
#[===================================================================[
Linux packaging support: 'package' target.
The packaging script (package/build_pkg.sh) installs to FHS-standard
paths (/usr/bin, /etc/xrpld, etc.) regardless of CMAKE_INSTALL_PREFIX,
so no prefix guard is needed here.
#]===================================================================]
if(NOT is_linux)
message(STATUS "Packaging not supported on non-Linux hosts")
return()
endif()
if(NOT DEFINED pkg_release)
set(pkg_release 1)
endif()
find_program(RPMBUILD_EXECUTABLE rpmbuild)
find_program(DPKG_BUILDPACKAGE_EXECUTABLE dpkg-buildpackage)
if(NOT (RPMBUILD_EXECUTABLE OR DPKG_BUILDPACKAGE_EXECUTABLE))
message(
STATUS
"Neither rpmbuild nor dpkg-buildpackage found; 'package' target not available"
)
return()
endif()
set(package_env
SRC_DIR=${CMAKE_SOURCE_DIR}
BUILD_DIR=${CMAKE_BINARY_DIR}
PKG_VERSION=${xrpld_version}
PKG_RELEASE=${pkg_release}
)
add_custom_target(
package
COMMAND
${CMAKE_COMMAND} -E env ${package_env}
${CMAKE_SOURCE_DIR}/package/build_pkg.sh
WORKING_DIRECTORY ${CMAKE_BINARY_DIR}
DEPENDS xrpld
COMMENT "Building Linux package (deb/rpm inferred from host tooling)"
VERBATIM
)

View File

@@ -1,33 +1,140 @@
#[===================================================================[
Apply sanitizer flags built by the Conan profile.
Configure sanitizers based on environment variables.
Parsing, validation, and flag construction are performed in conan/profiles/sanitizers.
This module reads the following CMake variables injected by the Conan toolchain via extra_variables:
This module reads the following environment variables:
- SANITIZERS: The sanitizers to enable. Possible values:
- "address"
- "address,undefinedbehavior"
- "thread"
- "thread,undefinedbehavior"
- "undefinedbehavior"
- SANITIZERS: The active sanitizers (e.g. "address,undefinedbehavior").
- SANITIZERS_COMPILER_FLAGS: Space-separated compiler flags.
- SANITIZERS_LINKER_FLAGS: Space-separated linker flags.
The compiler type and platform are detected in CompilationEnv.cmake.
The sanitizer compile options are applied to the 'common' interface library
which is linked to all targets in the project.
The flags are applied to the 'common' interface library which is linked to all targets in the project.
Internal flag variables set by this module:
- SANITIZER_TYPES: List of sanitizer types to enable (e.g., "address",
"thread", "undefined"). And two more flags for undefined behavior sanitizer (e.g., "float-divide-by-zero", "unsigned-integer-overflow").
This list is joined with commas and passed to -fsanitize=<list>.
- SANITIZERS_COMPILE_FLAGS: Compiler flags for sanitizer instrumentation.
Includes:
* -fno-omit-frame-pointer: Preserves frame pointers for stack traces
* -O1: Minimum optimization for reasonable performance
* -fsanitize=<types>: Enables sanitizer instrumentation
* -fsanitize-ignorelist=<path>: (Clang only) Compile-time ignorelist
* -mcmodel=large/medium: (GCC only) Code model for large binaries
* -Wno-stringop-overflow: (GCC only) Suppresses false positive warnings
* -Wno-tsan: (For GCC TSAN combination only) Suppresses atomic_thread_fence warnings
- SANITIZERS_LINK_FLAGS: Linker flags for sanitizer runtime libraries.
Includes:
* -fsanitize=<types>: Links sanitizer runtime libraries
* -mcmodel=large/medium: (GCC only) Matches compile-time code model
- SANITIZERS_RELOCATION_FLAGS: (GCC only, x86_64 only) Code model flags for linking.
Used to handle large instrumented binaries on x86_64:
* -mcmodel=large: For AddressSanitizer (prevents relocation errors)
* -mcmodel=medium: For ThreadSanitizer (large model is incompatible)
On ARM64, these flags are omitted since GCC does not support
-mcmodel=large with -fPIC, and -mcmodel=medium does not exist.
#]===================================================================]
include_guard(GLOBAL)
include(CompilationEnv)
if(NOT DEFINED SANITIZERS)
# Read environment variable
set(SANITIZERS "")
if(DEFINED ENV{SANITIZERS})
set(SANITIZERS "$ENV{SANITIZERS}")
endif()
# Set SANITIZERS_ENABLED flag for use in other modules
if(SANITIZERS MATCHES "address|thread|undefinedbehavior")
set(SANITIZERS_ENABLED TRUE)
else()
set(SANITIZERS_ENABLED FALSE)
return()
endif()
set(SANITIZERS_ENABLED TRUE)
message(STATUS "=== Configuring Sanitizers ===")
message(STATUS " SANITIZERS: ${SANITIZERS}")
message(STATUS " Compile flags: ${SANITIZERS_COMPILER_FLAGS}")
message(STATUS " Link flags: ${SANITIZERS_LINKER_FLAGS}")
# Sanitizers are not supported on Windows/MSVC
if(is_msvc)
message(
FATAL_ERROR
"Sanitizers are not supported on Windows/MSVC. "
"Please unset the SANITIZERS environment variable."
)
endif()
# GCC with sanitizers is incompatible with mold, gold, and lld linkers.
# Namely, the instrumented binary exceeds size limits imposed by these linkers.
message(STATUS "Configuring sanitizers: ${SANITIZERS}")
# Parse SANITIZERS value to determine which sanitizers to enable
set(enable_asan FALSE)
set(enable_tsan FALSE)
set(enable_ubsan FALSE)
# Normalize SANITIZERS into a list
set(san_list "${SANITIZERS}")
string(REPLACE "," ";" san_list "${san_list}")
separate_arguments(san_list)
foreach(san IN LISTS san_list)
if(san STREQUAL "address")
set(enable_asan TRUE)
elseif(san STREQUAL "thread")
set(enable_tsan TRUE)
elseif(san STREQUAL "undefinedbehavior")
set(enable_ubsan TRUE)
else()
message(
FATAL_ERROR
"Unsupported sanitizer type: ${san}"
"Supported: address, thread, undefinedbehavior and their combinations."
)
endif()
endforeach()
# Validate sanitizer compatibility
if(enable_asan AND enable_tsan)
message(
FATAL_ERROR
"AddressSanitizer and ThreadSanitizer are incompatible and cannot be enabled simultaneously. "
"Use 'address' or 'thread', optionally with 'undefinedbehavior'."
)
endif()
# Frame pointer is required for meaningful stack traces. Sanitizers recommend minimum of -O1 for reasonable performance
set(SANITIZERS_COMPILE_FLAGS "-fno-omit-frame-pointer" "-O1")
# Build the sanitizer flags list
set(SANITIZER_TYPES)
if(enable_asan)
list(APPEND SANITIZER_TYPES "address")
elseif(enable_tsan)
list(APPEND SANITIZER_TYPES "thread")
endif()
if(enable_ubsan)
# UB sanitizer flags
list(APPEND SANITIZER_TYPES "undefined" "float-divide-by-zero")
if(is_clang)
# Clang supports additional UB checks. More info here
# https://clang.llvm.org/docs/UndefinedBehaviorSanitizer.html
list(APPEND SANITIZER_TYPES "unsigned-integer-overflow")
endif()
endif()
# Configure code model for GCC on amd64 Use large code model for ASAN to avoid relocation errors Use medium code model
# for TSAN (large is not compatible with TSAN)
set(SANITIZERS_RELOCATION_FLAGS)
# Compiler-specific configuration
if(is_gcc)
# Disable mold, gold and lld linkers for GCC with sanitizers Use default linker (bfd/ld) which is more lenient with
# mixed code models This is needed since the size of instrumented binary exceeds the limits set by mold, lld and
# gold linkers
set(use_mold OFF CACHE BOOL "Use mold linker" FORCE)
set(use_gold OFF CACHE BOOL "Use gold linker" FORCE)
set(use_lld OFF CACHE BOOL "Use lld linker" FORCE)
@@ -35,62 +142,82 @@ if(is_gcc)
STATUS
" Disabled mold, gold, and lld linkers for GCC with sanitizers"
)
# Suppress false positive warnings in GCC with stringop-overflow
list(APPEND SANITIZERS_COMPILE_FLAGS "-Wno-stringop-overflow")
if(is_amd64 AND enable_asan)
message(STATUS " Using large code model (-mcmodel=large)")
list(APPEND SANITIZERS_COMPILE_FLAGS "-mcmodel=large")
list(APPEND SANITIZERS_RELOCATION_FLAGS "-mcmodel=large")
elseif(enable_tsan)
# GCC doesn't support atomic_thread_fence with tsan. Suppress warnings.
list(APPEND SANITIZERS_COMPILE_FLAGS "-Wno-tsan")
if(is_amd64)
message(STATUS " Using medium code model (-mcmodel=medium)")
list(APPEND SANITIZERS_COMPILE_FLAGS "-mcmodel=medium")
list(APPEND SANITIZERS_RELOCATION_FLAGS "-mcmodel=medium")
endif()
endif()
# Join sanitizer flags with commas for -fsanitize option
list(JOIN SANITIZER_TYPES "," SANITIZER_TYPES_STR)
# Add sanitizer to compile and link flags
list(APPEND SANITIZERS_COMPILE_FLAGS "-fsanitize=${SANITIZER_TYPES_STR}")
set(SANITIZERS_LINK_FLAGS
"${SANITIZERS_RELOCATION_FLAGS}"
"-fsanitize=${SANITIZER_TYPES_STR}"
)
elseif(is_clang)
# Add ignorelist for Clang (GCC doesn't support this) Use CMAKE_SOURCE_DIR to get the path to the ignorelist
set(IGNORELIST_PATH
"${CMAKE_SOURCE_DIR}/sanitizers/suppressions/sanitizer-ignorelist.txt"
)
if(NOT EXISTS "${IGNORELIST_PATH}")
message(
FATAL_ERROR
"Sanitizer ignorelist not found: ${IGNORELIST_PATH}"
)
endif()
list(
APPEND SANITIZERS_COMPILE_FLAGS
"-fsanitize-ignorelist=${IGNORELIST_PATH}"
)
message(STATUS " Using sanitizer ignorelist: ${IGNORELIST_PATH}")
# Join sanitizer flags with commas for -fsanitize option
list(JOIN SANITIZER_TYPES "," SANITIZER_TYPES_STR)
# Add sanitizer to compile and link flags
list(APPEND SANITIZERS_COMPILE_FLAGS "-fsanitize=${SANITIZER_TYPES_STR}")
set(SANITIZERS_LINK_FLAGS "-fsanitize=${SANITIZER_TYPES_STR}")
endif()
# Flags arrive as space-separated strings; split into CMake lists before use
separate_arguments(
sanitizers_compiler_flags
UNIX_COMMAND
"${SANITIZERS_COMPILER_FLAGS}"
)
separate_arguments(
sanitizers_linker_flags
UNIX_COMMAND
"${SANITIZERS_LINKER_FLAGS}"
)
message(STATUS " Compile flags: ${SANITIZERS_COMPILE_FLAGS}")
message(STATUS " Link flags: ${SANITIZERS_LINK_FLAGS}")
# Apply the sanitizer flags to the 'common' interface library This is the same library used by XrplCompiler.cmake
target_compile_options(
common
INTERFACE
$<$<COMPILE_LANGUAGE:CXX>:${sanitizers_compiler_flags}>
$<$<COMPILE_LANGUAGE:C>:${sanitizers_compiler_flags}>
$<$<COMPILE_LANGUAGE:CXX>:${SANITIZERS_COMPILE_FLAGS}>
$<$<COMPILE_LANGUAGE:C>:${SANITIZERS_COMPILE_FLAGS}>
)
target_link_options(common INTERFACE ${sanitizers_linker_flags})
# This module appends -fsanitize-ignorelist=<path> for Clang builds.
# The ignorelist path contains CMAKE_SOURCE_DIR, so it must be set here, rather than in the Conan profile.
# GCC does not support -fsanitize-ignorelist.
if(is_clang)
set(ignorelist_path
"${CMAKE_SOURCE_DIR}/sanitizers/suppressions/sanitizer-ignorelist.txt"
)
if(NOT EXISTS "${ignorelist_path}")
message(
FATAL_ERROR
"Sanitizer ignorelist not found: ${ignorelist_path}"
)
endif()
target_compile_options(
common
INTERFACE
$<$<COMPILE_LANGUAGE:CXX>:-fsanitize-ignorelist=${ignorelist_path}>
$<$<COMPILE_LANGUAGE:C>:-fsanitize-ignorelist=${ignorelist_path}>
)
message(STATUS " Ignorelist: ${ignorelist_path}")
endif()
# Apply linker flags
target_link_options(common INTERFACE ${SANITIZERS_LINK_FLAGS})
# Define SANITIZERS macro for BuildInfo.cpp
set(sanitizers_list)
if(SANITIZERS MATCHES "address")
set(enable_asan ON)
if(enable_asan)
list(APPEND sanitizers_list "ASAN")
endif()
if(SANITIZERS MATCHES "thread")
set(enable_tsan ON)
if(enable_tsan)
list(APPEND sanitizers_list "TSAN")
endif()
if(SANITIZERS MATCHES "undefinedbehavior")
set(enable_ubsan ON)
if(enable_ubsan)
list(APPEND sanitizers_list "UBSAN")
endif()

View File

@@ -1,13 +0,0 @@
# Python dependencies for XRP Ledger code generation scripts
#
# These packages are required to run the code generation scripts that
# parse macro files and generate C++ wrapper classes.
# C preprocessor for Python - used to preprocess macro files
pcpp>=1.30
# Parser combinator library - used to parse the macro DSL
pyparsing>=3.0.0
# Template engine - used to generate C++ code from templates
Mako>=1.2.2

View File

@@ -1,105 +1,13 @@
# This file was autogenerated by uv via the following command:
# uv pip compile requirements.in --generate-hashes --output-file requirements.txt
mako==1.3.12 \
--hash=sha256:8f61569480282dbf557145ce441e4ba888be453c30989f879f0d652e39f53ea9 \
--hash=sha256:9f778e93289bd410bb35daadeb4fc66d95a746f0b75777b942088b7fd7af550a
# via -r requirements.in
markupsafe==3.0.3 \
--hash=sha256:0303439a41979d9e74d18ff5e2dd8c43ed6c6001fd40e5bf2e43f7bd9bbc523f \
--hash=sha256:068f375c472b3e7acbe2d5318dea141359e6900156b5b2ba06a30b169086b91a \
--hash=sha256:0bf2a864d67e76e5c9a34dc26ec616a66b9888e25e7b9460e1c76d3293bd9dbf \
--hash=sha256:0db14f5dafddbb6d9208827849fad01f1a2609380add406671a26386cdf15a19 \
--hash=sha256:0eb9ff8191e8498cca014656ae6b8d61f39da5f95b488805da4bb029cccbfbaf \
--hash=sha256:0f4b68347f8c5eab4a13419215bdfd7f8c9b19f2b25520968adfad23eb0ce60c \
--hash=sha256:1085e7fbddd3be5f89cc898938f42c0b3c711fdcb37d75221de2666af647c175 \
--hash=sha256:116bb52f642a37c115f517494ea5feb03889e04df47eeff5b130b1808ce7c219 \
--hash=sha256:12c63dfb4a98206f045aa9563db46507995f7ef6d83b2f68eda65c307c6829eb \
--hash=sha256:133a43e73a802c5562be9bbcd03d090aa5a1fe899db609c29e8c8d815c5f6de6 \
--hash=sha256:1353ef0c1b138e1907ae78e2f6c63ff67501122006b0f9abad68fda5f4ffc6ab \
--hash=sha256:15d939a21d546304880945ca1ecb8a039db6b4dc49b2c5a400387cdae6a62e26 \
--hash=sha256:177b5253b2834fe3678cb4a5f0059808258584c559193998be2601324fdeafb1 \
--hash=sha256:1872df69a4de6aead3491198eaf13810b565bdbeec3ae2dc8780f14458ec73ce \
--hash=sha256:1b4b79e8ebf6b55351f0d91fe80f893b4743f104bff22e90697db1590e47a218 \
--hash=sha256:1b52b4fb9df4eb9ae465f8d0c228a00624de2334f216f178a995ccdcf82c4634 \
--hash=sha256:1ba88449deb3de88bd40044603fafffb7bc2b055d626a330323a9ed736661695 \
--hash=sha256:1cc7ea17a6824959616c525620e387f6dd30fec8cb44f649e31712db02123dad \
--hash=sha256:218551f6df4868a8d527e3062d0fb968682fe92054e89978594c28e642c43a73 \
--hash=sha256:26a5784ded40c9e318cfc2bdb30fe164bdb8665ded9cd64d500a34fb42067b1c \
--hash=sha256:2713baf880df847f2bece4230d4d094280f4e67b1e813eec43b4c0e144a34ffe \
--hash=sha256:2a15a08b17dd94c53a1da0438822d70ebcd13f8c3a95abe3a9ef9f11a94830aa \
--hash=sha256:2f981d352f04553a7171b8e44369f2af4055f888dfb147d55e42d29e29e74559 \
--hash=sha256:32001d6a8fc98c8cb5c947787c5d08b0a50663d139f1305bac5885d98d9b40fa \
--hash=sha256:3524b778fe5cfb3452a09d31e7b5adefeea8c5be1d43c4f810ba09f2ceb29d37 \
--hash=sha256:3537e01efc9d4dccdf77221fb1cb3b8e1a38d5428920e0657ce299b20324d758 \
--hash=sha256:35add3b638a5d900e807944a078b51922212fb3dedb01633a8defc4b01a3c85f \
--hash=sha256:38664109c14ffc9e7437e86b4dceb442b0096dfe3541d7864d9cbe1da4cf36c8 \
--hash=sha256:3a7e8ae81ae39e62a41ec302f972ba6ae23a5c5396c8e60113e9066ef893da0d \
--hash=sha256:3b562dd9e9ea93f13d53989d23a7e775fdfd1066c33494ff43f5418bc8c58a5c \
--hash=sha256:457a69a9577064c05a97c41f4e65148652db078a3a509039e64d3467b9e7ef97 \
--hash=sha256:4bd4cd07944443f5a265608cc6aab442e4f74dff8088b0dfc8238647b8f6ae9a \
--hash=sha256:4e885a3d1efa2eadc93c894a21770e4bc67899e3543680313b09f139e149ab19 \
--hash=sha256:4faffd047e07c38848ce017e8725090413cd80cbc23d86e55c587bf979e579c9 \
--hash=sha256:509fa21c6deb7a7a273d629cf5ec029bc209d1a51178615ddf718f5918992ab9 \
--hash=sha256:5678211cb9333a6468fb8d8be0305520aa073f50d17f089b5b4b477ea6e67fdc \
--hash=sha256:591ae9f2a647529ca990bc681daebdd52c8791ff06c2bfa05b65163e28102ef2 \
--hash=sha256:5a7d5dc5140555cf21a6fefbdbf8723f06fcd2f63ef108f2854de715e4422cb4 \
--hash=sha256:69c0b73548bc525c8cb9a251cddf1931d1db4d2258e9599c28c07ef3580ef354 \
--hash=sha256:6b5420a1d9450023228968e7e6a9ce57f65d148ab56d2313fcd589eee96a7a50 \
--hash=sha256:722695808f4b6457b320fdc131280796bdceb04ab50fe1795cd540799ebe1698 \
--hash=sha256:729586769a26dbceff69f7a7dbbf59ab6572b99d94576a5592625d5b411576b9 \
--hash=sha256:77f0643abe7495da77fb436f50f8dab76dbc6e5fd25d39589a0f1fe6548bfa2b \
--hash=sha256:795e7751525cae078558e679d646ae45574b47ed6e7771863fcc079a6171a0fc \
--hash=sha256:7be7b61bb172e1ed687f1754f8e7484f1c8019780f6f6b0786e76bb01c2ae115 \
--hash=sha256:7c3fb7d25180895632e5d3148dbdc29ea38ccb7fd210aa27acbd1201a1902c6e \
--hash=sha256:7e68f88e5b8799aa49c85cd116c932a1ac15caaa3f5db09087854d218359e485 \
--hash=sha256:83891d0e9fb81a825d9a6d61e3f07550ca70a076484292a70fde82c4b807286f \
--hash=sha256:8485f406a96febb5140bfeca44a73e3ce5116b2501ac54fe953e488fb1d03b12 \
--hash=sha256:8709b08f4a89aa7586de0aadc8da56180242ee0ada3999749b183aa23df95025 \
--hash=sha256:8f71bc33915be5186016f675cd83a1e08523649b0e33efdb898db577ef5bb009 \
--hash=sha256:915c04ba3851909ce68ccc2b8e2cd691618c4dc4c4232fb7982bca3f41fd8c3d \
--hash=sha256:949b8d66bc381ee8b007cd945914c721d9aba8e27f71959d750a46f7c282b20b \
--hash=sha256:94c6f0bb423f739146aec64595853541634bde58b2135f27f61c1ffd1cd4d16a \
--hash=sha256:9a1abfdc021a164803f4d485104931fb8f8c1efd55bc6b748d2f5774e78b62c5 \
--hash=sha256:9b79b7a16f7fedff2495d684f2b59b0457c3b493778c9eed31111be64d58279f \
--hash=sha256:a320721ab5a1aba0a233739394eb907f8c8da5c98c9181d1161e77a0c8e36f2d \
--hash=sha256:a4afe79fb3de0b7097d81da19090f4df4f8d3a2b3adaa8764138aac2e44f3af1 \
--hash=sha256:ad2cf8aa28b8c020ab2fc8287b0f823d0a7d8630784c31e9ee5edea20f406287 \
--hash=sha256:b8512a91625c9b3da6f127803b166b629725e68af71f8184ae7e7d54686a56d6 \
--hash=sha256:bc51efed119bc9cfdf792cdeaa4d67e8f6fcccab66ed4bfdd6bde3e59bfcbb2f \
--hash=sha256:bdc919ead48f234740ad807933cdf545180bfbe9342c2bb451556db2ed958581 \
--hash=sha256:bdd37121970bfd8be76c5fb069c7751683bdf373db1ed6c010162b2a130248ed \
--hash=sha256:be8813b57049a7dc738189df53d69395eba14fb99345e0a5994914a3864c8a4b \
--hash=sha256:c0c0b3ade1c0b13b936d7970b1d37a57acde9199dc2aecc4c336773e1d86049c \
--hash=sha256:c47a551199eb8eb2121d4f0f15ae0f923d31350ab9280078d1e5f12b249e0026 \
--hash=sha256:c4ffb7ebf07cfe8931028e3e4c85f0357459a3f9f9490886198848f4fa002ec8 \
--hash=sha256:ccfcd093f13f0f0b7fdd0f198b90053bf7b2f02a3927a30e63f3ccc9df56b676 \
--hash=sha256:d2ee202e79d8ed691ceebae8e0486bd9a2cd4794cec4824e1c99b6f5009502f6 \
--hash=sha256:d53197da72cc091b024dd97249dfc7794d6a56530370992a5e1a08983ad9230e \
--hash=sha256:d6dd0be5b5b189d31db7cda48b91d7e0a9795f31430b7f271219ab30f1d3ac9d \
--hash=sha256:d88b440e37a16e651bda4c7c2b930eb586fd15ca7406cb39e211fcff3bf3017d \
--hash=sha256:de8a88e63464af587c950061a5e6a67d3632e36df62b986892331d4620a35c01 \
--hash=sha256:df2449253ef108a379b8b5d6b43f4b1a8e81a061d6537becd5582fba5f9196d7 \
--hash=sha256:e1c1493fb6e50ab01d20a22826e57520f1284df32f2d8601fdd90b6304601419 \
--hash=sha256:e1cf1972137e83c5d4c136c43ced9ac51d0e124706ee1c8aa8532c1287fa8795 \
--hash=sha256:e2103a929dfa2fcaf9bb4e7c091983a49c9ac3b19c9061b6d5427dd7d14d81a1 \
--hash=sha256:e56b7d45a839a697b5eb268c82a71bd8c7f6c94d6fd50c3d577fa39a9f1409f5 \
--hash=sha256:e8afc3f2ccfa24215f8cb28dcf43f0113ac3c37c2f0f0806d8c70e4228c5cf4d \
--hash=sha256:e8fc20152abba6b83724d7ff268c249fa196d8259ff481f3b1476383f8f24e42 \
--hash=sha256:eaa9599de571d72e2daf60164784109f19978b327a3910d3e9de8c97b5b70cfe \
--hash=sha256:ec15a59cf5af7be74194f7ab02d0f59a62bdcf1a537677ce67a2537c9b87fcda \
--hash=sha256:f190daf01f13c72eac4efd5c430a8de82489d9cff23c364c3ea822545032993e \
--hash=sha256:f34c41761022dd093b4b6896d4810782ffbabe30f2d443ff5f083e0cbbb8c737 \
--hash=sha256:f3e98bb3798ead92273dc0e5fd0f31ade220f59a266ffd8a4f6065e0a3ce0523 \
--hash=sha256:f42d0984e947b8adf7dd6dde396e720934d12c506ce84eea8476409563607591 \
--hash=sha256:f71a396b3bf33ecaa1626c255855702aca4d3d9fea5e051b41ac59a9c1c41edc \
--hash=sha256:f9e130248f4462aaa8e2552d547f36ddadbeaa573879158d721bbd33dfe4743a \
--hash=sha256:fed51ac40f757d41b7c48425901843666a6677e3e8eb0abcff09e4ba6e664f50
# via mako
pcpp==1.30 \
--hash=sha256:05fe08292b6da57f385001c891a87f40d6aa7f46787b03e8ba326d20a3297c6e \
--hash=sha256:5af9fbce55f136d7931ae915fae03c34030a3b36c496e72d9636cedc8e2543a1
# via -r requirements.in
pyparsing==3.3.2 \
--hash=sha256:850ba148bd908d7e2411587e247a1e4f0327839c40e2e5e6d05a007ecc69911d \
--hash=sha256:c777f4d763f140633dcb6d8a3eda953bf7a214dc4eff598413c070bcdc117cbc
# via -r requirements.in
# Python dependencies for XRP Ledger code generation scripts
#
# These packages are required to run the code generation scripts that
# parse macro files and generate C++ wrapper classes.
# C preprocessor for Python - used to preprocess macro files
pcpp>=1.30
# Parser combinator library - used to parse the macro DSL
pyparsing>=3.0.0
# Template engine - used to generate C++ code from templates
Mako>=1.2.0

View File

@@ -1,47 +1,38 @@
{
"version": "0.5",
"requires": [
"zlib/1.3.2#1cb806da49011867778ffb6ac7190fcb%1778091116.056",
"zlib/1.3.1#cac0f6daea041b0ccf42934163defb20%1774439233.809",
"xxhash/0.8.3#681d36a0a6111fc56e5e45ea182c19cc%1765850149.987",
"sqlite3/3.53.0#324ada52333108388a9a6108bfa96734%1778091117.311",
"sqlite3/3.51.0#66aa11eabd0e34954c5c1c061ad44abe%1774467355.988",
"soci/4.0.3#fe32b9ad5eb47e79ab9e45a68f363945%1774450067.231",
"snappy/1.1.10#968fef506ff261592ec30c574d4a7809%1765850147.878",
"secp256k1/0.7.1#481881709eb0bdd0185a12b912bbe8ad%1770910500.329",
"rocksdb/10.5.1#4a197eca381a3e5ae8adf8cffa5aacd0%1765850186.86",
"re2/20251105#8579cfd0bda4daf0683f9e3898f964b4%1774398111.888",
"protobuf/6.33.5#d96d52ba5baaaa532f47bda866ad87a5%1774467363.12",
"opentelemetry-cpp/1.26.0#9d81768342c78cb897345fd419b358d2%1776934712.672",
"openssl/3.6.2#4789bbf131b77d0515d15e094c8f697f%1778071755.506",
"nudb/2.0.9#11149c73f8f2baff9a0198fe25971fc7%1775040983.408",
"nlohmann_json/3.11.3#45828be26eb619a2e04ca517bb7b828d%1701220705.259",
"openssl/3.6.1#e6399de266349245a4542fc5f6c71552%1774458290.139",
"nudb/2.0.9#11149c73f8f2baff9a0198fe25971fc7%1774883011.384",
"lz4/1.10.0#59fc63cac7f10fbe8e05c7e62c2f3504%1765850143.914",
"libiconv/1.17#1e65319e945f2d31941a9d28cc13c058%1765842973.492",
"libcurl/8.20.0#465ac276192c197ddc6a9f4494004278%1779353234.048",
"libbacktrace/cci.20210118#a7691bfccd8caaf66309df196790a5a1%1765842973.03",
"libarchive/3.8.7#c446109bd1f1d8ba7936c94189bc50e6%1778091117.848",
"jemalloc/5.3.1#1fc58d55316041f10fbc1e8a2eae632a%1776700028.228",
"libarchive/3.8.1#ffee18995c706e02bf96e7a2f7042e0d%1765850144.736",
"jemalloc/5.3.0#e951da9cf599e956cebc117880d2d9f8%1729241615.244",
"gtest/1.17.0#5224b3b3ff3b4ce1133cbdd27d53ee7d%1768312129.152",
"grpc/1.78.1#b1a9e74b145cc471bed4dc64dc6eb2c1%1774467387.342",
"ed25519/2015.03#ae761bdc52730a843f0809bdf6c1b1f6%1765850143.772",
"date/3.0.4#862e11e80030356b53c2c38599ceb32b%1765850143.772",
"c-ares/1.34.6#545240bb1c40e2cacd4362d6b8967650%1774439234.681",
"bzip2/1.0.8#c470882369c2d95c5c77e970c0c7e321%1765850143.837",
"boost/1.91.0#ea540ca2133d831b560036aa24dece3c%1778091165.282",
"boost/1.90.0#d5e8defe7355494953be18524a7f135b%1769454080.269",
"abseil/20250127.0#bb0baf1f362bc4a725a24eddd419b8f7%1774365460.196"
],
"build_requires": [
"zlib/1.3.2#1cb806da49011867778ffb6ac7190fcb%1778091116.056",
"zlib/1.3.1#cac0f6daea041b0ccf42934163defb20%1774439233.809",
"strawberryperl/5.32.1.1#8d114504d172cfea8ea1662d09b6333e%1774447376.964",
"protobuf/6.33.5#d96d52ba5baaaa532f47bda866ad87a5%1774467363.12",
"pkgconf/2.5.1#93c2051284cba1279494a43a4fcfeae2%1757684701.089",
"opentelemetry-proto/1.7.0#ed6d5bd761bef0afb0ba09676420b9ea%1749461220.268",
"ninja/1.13.2#c8c5dc2a52ed6e4e42a66d75b4717ceb%1764096931.974",
"nasm/2.16.01#31e26f2ee3c4346ecd347911bd126904%1765850144.707",
"msys2/cci.latest#d22fe7b2808f5fd34d0a7923ace9c54f%1770657326.649",
"meson/1.10.2#9d2d10681fe7fe61c788c58626c89b25%1775558003.754",
"m4/1.4.19#4523e4347b55cd26ae918bd5770cab9a%1778062762.471",
"libtool/2.4.7#14e7739cc128bc1623d2ed318008e47e%1755679003.847",
"gnu-config/cci.20210814#466e9d4d7779e1c142443f7ea44b4284%1762363589.329",
"m4/1.4.19#5d7a4994e5875d76faf7acf3ed056036%1774365463.87",
"cmake/4.3.0#b939a42e98f593fb34d3a8c5cc860359%1774439249.183",
"b2/5.4.2#ffd6084a119587e70f11cd45d1a386e2%1774439233.447",
"automake/1.16.5#b91b7c384c3deaa9d535be02da14d04f%1755524470.56",
@@ -57,19 +48,16 @@
"lz4/1.10.0"
],
"boost/[>=1.83.0 <1.91.0]": [
"boost/1.91.0"
"boost/1.90.0"
],
"sqlite3/[>=3.44 <4]": [
"sqlite3/3.53.0"
"sqlite3/3.51.0"
],
"boost/1.83.0": [
"boost/1.91.0"
"boost/1.90.0"
],
"lz4/[>=1.9.4 <2]": [
"lz4/1.10.0#59fc63cac7f10fbe8e05c7e62c2f3504"
],
"protobuf/[>=4.25.3 <7]": [
"protobuf/6.33.5#d96d52ba5baaaa532f47bda866ad87a5"
]
},
"config_requires": []

View File

@@ -3,5 +3,3 @@
core:non_interactive=True
core.download:parallel={{ os.cpu_count() }}
core.upload:parallel={{ os.cpu_count() }}
tools.files.download:retry=5
tools.files.download:retry_wait=10

View File

@@ -1 +1 @@
include(sanitizers)
include(sanitizers)

View File

@@ -23,15 +23,3 @@ compiler.libcxx={{detect_api.detect_libcxx(compiler, version, compiler_exe)}}
{% if compiler == "gcc" and compiler_version < 13 %}
tools.build:cxxflags+=['-Wno-restrict']
{% endif %}
{% if os == "Windows" %}
# opentelemetry-cpp's recipe removes the `shared` option on Windows and never
# sets BUILD_SHARED_LIBS, so its upstream CMake defaults the protobuf-generated
# `opentelemetry_proto` target to a DLL (opentelemetry_proto.dll). The rest of
# the project links statically and nothing deploys that DLL next to the
# executables, so the telemetry unit test fails to start with
# STATUS_DLL_NOT_FOUND (0xC0000135). Force the dependency to build fully static
# so no runtime DLL is produced. The conf is folded into the package id so a
# fresh static binary is built instead of reusing a previously cached one.
opentelemetry-cpp/*:tools.cmake.cmaketoolchain:extra_variables={"BUILD_SHARED_LIBS": "OFF"}
opentelemetry-cpp/*:tools.info.package_id:confs+=["tools.cmake.cmaketoolchain:extra_variables"]
{% endif %}

View File

@@ -3,120 +3,96 @@ include(default)
{% set arch = detect_api.detect_arch() %}
{% set sanitizers = os.getenv("SANITIZERS") %}
{% if not sanitizers %}
{# Sanitizers not configured; no additional settings needed #}
{% else %}
[conf]
{% if sanitizers %}
{% if compiler == "gcc" %}
{% if "address" in sanitizers or "thread" in sanitizers or "undefinedbehavior" in sanitizers %}
{% set sanitizer_list = [] %}
{% set defines = [] %}
{% set model_code = "" %}
{% set extra_cxxflags = ["-fno-omit-frame-pointer", "-O1", "-Wno-stringop-overflow"] %}
{% if compiler == "msvc" %}
{{ "Sanitizers are not supported on Windows/MSVC. Please unset the SANITIZERS environment variable." }}
{% endif %}
{% if "address" in sanitizers %}
{% set _ = sanitizer_list.append("address") %}
{% if arch == "x86_64" %}
{% set model_code = "-mcmodel=large" %}
{% endif %}
{% set _ = defines.append("BOOST_USE_ASAN")%}
{% set _ = defines.append("BOOST_USE_UCONTEXT")%}
{% elif "thread" in sanitizers %}
{% set _ = sanitizer_list.append("thread") %}
{% if arch == "x86_64" %}
{% set model_code = "-mcmodel=medium" %}
{% endif %}
{% set _ = extra_cxxflags.append("-Wno-tsan") %}
{% set _ = defines.append("BOOST_USE_TSAN")%}
{% set _ = defines.append("BOOST_USE_UCONTEXT")%}
{% endif %}
{% set known_sanitizers = ["address", "thread", "undefinedbehavior"] %}
{% set provided_sanitizers = [] %}
{% for san in sanitizers.split(",") %}
{% set san = san.strip() %}
{% if san not in known_sanitizers %}
{{ "Unknown sanitizer in SANITIZERS: " ~ san }}
{% endif %}
{% set _ = provided_sanitizers.append(san) %}
{% endfor %}
{% if "undefinedbehavior" in sanitizers %}
{% set _ = sanitizer_list.append("undefined") %}
{% set _ = sanitizer_list.append("float-divide-by-zero") %}
{% endif %}
{% set enable_asan = "address" in provided_sanitizers %}
{% set enable_tsan = "thread" in provided_sanitizers %}
{% set enable_ubsan = "undefinedbehavior" in provided_sanitizers %}
{% set sanitizer_flags = "-fsanitize=" ~ ",".join(sanitizer_list) ~ " " ~ model_code %}
{% if enable_asan and enable_tsan %}
{{ "AddressSanitizer and ThreadSanitizer are incompatible and cannot be enabled simultaneously." }}
{% endif %}
tools.build:cxxflags+=['{{sanitizer_flags}} {{" ".join(extra_cxxflags)}}']
tools.build:sharedlinkflags+=['{{sanitizer_flags}}']
tools.build:exelinkflags+=['{{sanitizer_flags}}']
tools.build:defines+={{defines}}
{% endif %}
{% elif compiler == "apple-clang" or compiler == "clang" %}
{% if "address" in sanitizers or "thread" in sanitizers or "undefinedbehavior" in sanitizers %}
{% set sanitizer_list = [] %}
{% set defines = [] %}
{% set extra_cxxflags = ["-fno-omit-frame-pointer", "-O1"] %}
{% set sanitizer_types = [] %}
{% set defines = [] %}
{% if "address" in sanitizers %}
{% set _ = sanitizer_list.append("address") %}
{% set _ = defines.append("BOOST_USE_ASAN")%}
{% set _ = defines.append("BOOST_USE_UCONTEXT")%}
{% elif "thread" in sanitizers %}
{% set _ = sanitizer_list.append("thread") %}
{% set _ = defines.append("BOOST_USE_TSAN")%}
{% set _ = defines.append("BOOST_USE_UCONTEXT")%}
{% endif %}
{% if enable_asan %}
{% set _ = sanitizer_types.append("address") %}
{% set _ = defines.append("BOOST_USE_ASAN") %}
{% set _ = defines.append("BOOST_USE_UCONTEXT") %}
{% elif enable_tsan %}
{% set _ = sanitizer_types.append("thread") %}
{% set _ = defines.append("BOOST_USE_TSAN") %}
{% set _ = defines.append("BOOST_USE_UCONTEXT") %}
{% endif %}
{% if "undefinedbehavior" in sanitizers %}
{% set _ = sanitizer_list.append("undefined") %}
{% set _ = sanitizer_list.append("float-divide-by-zero") %}
{% set _ = sanitizer_list.append("unsigned-integer-overflow") %}
{% endif %}
{% if enable_ubsan %}
{% set _ = sanitizer_types.append("undefined") %}
{% set _ = sanitizer_types.append("float-divide-by-zero") %}
{# Clang supports additional UB checks beyond the GCC baseline #}
{% if compiler == "clang" or compiler == "apple-clang" %}
{% set _ = sanitizer_types.append("unsigned-integer-overflow") %}
{% endif %}
{% endif %}
{% set sanitizer_flags = "-fsanitize=" ~ ",".join(sanitizer_list) %}
{# Frame pointer required for meaningful stack traces; -O1 for reasonable performance #}
{% set compile_flags = ["-fno-omit-frame-pointer", "-O1"] %}
{% if compiler == "gcc" %}
{# Suppress false positive warnings with GCC #}
{% set _ = compile_flags.append("-Wno-stringop-overflow") %}
{% set relocation_flags = [] %}
{% if arch == "x86_64" and enable_asan %}
{# Large code model prevents relocation errors in instrumented ASAN binaries #}
{% set _ = compile_flags.append("-mcmodel=large") %}
{% set _ = relocation_flags.append("-mcmodel=large") %}
{% elif enable_tsan %}
{# GCC doesn't support atomic_thread_fence with TSAN; suppress warnings #}
{% set _ = compile_flags.append("-Wno-tsan") %}
{% if arch == "x86_64" %}
{# Medium code model for TSAN; large is incompatible #}
{% set _ = compile_flags.append("-mcmodel=medium") %}
{% set _ = relocation_flags.append("-mcmodel=medium") %}
tools.build:cxxflags+=['{{sanitizer_flags}} {{" ".join(extra_cxxflags)}}']
tools.build:sharedlinkflags+=['{{sanitizer_flags}}']
tools.build:exelinkflags+=['{{sanitizer_flags}}']
tools.build:defines+={{defines}}
{% endif %}
{% endif %}
{% set fsanitize = "-fsanitize=" ~ ",".join(sanitizer_types) %}
{% set _ = compile_flags.append(fsanitize) %}
{% set _ = relocation_flags.append(fsanitize) %}
{% set sanitizer_compiler_flags = " ".join(compile_flags) %}
{% set sanitizer_linker_flags = " ".join(relocation_flags) %}
{% elif compiler == "clang" or compiler == "apple-clang" %}
{% set fsanitize = "-fsanitize=" ~ ",".join(sanitizer_types) %}
{% set _ = compile_flags.append(fsanitize) %}
{% set sanitizer_compiler_flags = " ".join(compile_flags) %}
{% set sanitizer_linker_flags = fsanitize %}
{% endif %}
[conf]
tools.build:defines+={{defines}}
tools.build:cxxflags+=['{{sanitizer_compiler_flags}}']
tools.build:sharedlinkflags+=['{{sanitizer_linker_flags}}']
tools.build:exelinkflags+=['{{sanitizer_linker_flags}}']
tools.info.package_id:confs+=["tools.build:cxxflags", "tools.build:exelinkflags", "tools.build:sharedlinkflags", "tools.build:defines"]
# &: means "apply only to the consumer/root package"
&:tools.cmake.cmaketoolchain:extra_variables={"SANITIZERS": "{{sanitizers}}", "SANITIZERS_COMPILER_FLAGS": "{{sanitizer_compiler_flags}}", "SANITIZERS_LINKER_FLAGS": "{{sanitizer_linker_flags}}"}
[options]
{% if enable_asan %}
# Build Boost.Context with ucontext backend (not fcontext) so that
# ASAN fiber-switching annotations (__sanitizer_start/finish_switch_fiber)
# are compiled into the library. fcontext (assembly) has no ASAN support.
# define=BOOST_USE_ASAN=1 is critical: it must be defined when building
# Boost.Context itself so the ucontext backend compiles in the ASAN annotations.
boost/*:extra_b2_flags=context-impl=ucontext address-sanitizer=on define=BOOST_USE_ASAN=1
boost/*:without_context=False
# Boost stacktrace fails to build with some sanitizers
boost/*:without_stacktrace=True
{% elif enable_tsan %}
# Build Boost.Context with ucontext backend for TSAN. fcontext (assembly)
# has no TSAN annotations, so without this the BOOST_USE_TSAN/BOOST_USE_UCONTEXT
# defines in [conf] would be ineffective.
boost/*:extra_b2_flags=context-impl=ucontext thread-sanitizer=on define=BOOST_USE_TSAN=1
boost/*:without_context=False
boost/*:without_stacktrace=True
{% endif %}
{% if sanitizers %}
{% if "address" in sanitizers %}
# Build Boost.Context with ucontext backend (not fcontext) so that
# ASAN fiber-switching annotations (__sanitizer_start/finish_switch_fiber)
# are compiled into the library. fcontext (assembly) has no ASAN support.
# define=BOOST_USE_ASAN=1 is critical: it must be defined when building
# Boost.Context itself so the ucontext backend compiles in the ASAN annotations.
boost/*:extra_b2_flags=context-impl=ucontext address-sanitizer=on define=BOOST_USE_ASAN=1
boost/*:without_context=False
# Boost stacktrace fails to build with some sanitizers
boost/*:without_stacktrace=True
{% elif "thread" in sanitizers %}
# Build Boost.Context with ucontext backend for TSAN. fcontext (assembly)
# has no TSAN annotations, so without this the BOOST_USE_TSAN/BOOST_USE_UCONTEXT
# defines in [conf] would be ineffective.
boost/*:extra_b2_flags=context-impl=ucontext thread-sanitizer=on define=BOOST_USE_TSAN=1
boost/*:without_context=False
boost/*:without_stacktrace=True
{% endif %}
{% endif %}

View File

@@ -1,3 +1,4 @@
import os
import re
from conan.tools.cmake import CMake, CMakeToolchain, cmake_layout
@@ -21,7 +22,6 @@ class Xrpl(ConanFile):
"rocksdb": [True, False],
"shared": [True, False],
"static": [True, False],
"telemetry": [True, False],
"tests": [True, False],
"unity": [True, False],
"xrpld": [True, False],
@@ -30,12 +30,12 @@ class Xrpl(ConanFile):
requires = [
"ed25519/2015.03",
"grpc/1.78.1",
"libarchive/3.8.7",
"libarchive/3.8.1",
"nudb/2.0.9",
"openssl/3.6.2",
"openssl/3.6.1",
"secp256k1/0.7.1",
"soci/4.0.3",
"zlib/1.3.2",
"zlib/1.3.1",
]
test_requires = [
@@ -54,11 +54,9 @@ class Xrpl(ConanFile):
"rocksdb": True,
"shared": False,
"static": True,
"telemetry": True,
"tests": False,
"unity": False,
"xrpld": False,
"boost/*:without_cobalt": True,
"boost/*:without_context": False,
"boost/*:without_coroutine": True,
"boost/*:without_coroutine2": False,
@@ -132,19 +130,15 @@ class Xrpl(ConanFile):
self.options["boost"].without_cobalt = True
def requirements(self):
self.requires("boost/1.91.0", force=True, transitive_headers=True)
self.requires("boost/1.90.0", force=True, transitive_headers=True)
self.requires("date/3.0.4", transitive_headers=True)
self.requires("lz4/1.10.0", force=True)
self.requires("protobuf/6.33.5", force=True)
self.requires("sqlite3/3.53.0", force=True)
self.requires("sqlite3/3.51.0", force=True)
if self.options.jemalloc:
self.requires("jemalloc/5.3.1")
self.requires("jemalloc/5.3.0")
if self.options.rocksdb:
self.requires("rocksdb/10.5.1")
# OpenTelemetry C++ SDK for distributed tracing (optional).
# Provides OTLP/HTTP exporter, batch span processor, and trace API.
if self.options.telemetry:
self.requires("opentelemetry-cpp/1.26.0")
self.requires("xxhash/0.8.3", transitive_headers=True)
exports_sources = (
@@ -173,7 +167,6 @@ class Xrpl(ConanFile):
tc.variables["rocksdb"] = self.options.rocksdb
tc.variables["BUILD_SHARED_LIBS"] = self.options.shared
tc.variables["static"] = self.options.static
tc.variables["telemetry"] = self.options.telemetry
tc.variables["unity"] = self.options.unity
tc.variables["xrpld"] = self.options.xrpld
tc.generate()
@@ -226,5 +219,3 @@ class Xrpl(ConanFile):
]
if self.options.rocksdb:
libxrpl.requires.append("rocksdb::librocksdb")
if self.options.telemetry:
libxrpl.requires.append("opentelemetry-cpp::opentelemetry-cpp")

View File

@@ -63,9 +63,7 @@ words:
- Bougalis
- Britto
- Btrfs
- Buildx
- canonicality
- CGNAT
- changespq
- checkme
- choco
@@ -73,7 +71,6 @@ words:
- citardauq
- clawback
- clawbacks
- cmaketoolchain
- coeffs
- coldwallet
- compr
@@ -94,22 +91,18 @@ words:
- daria
- dcmake
- dearmor
- dedented
- deleteme
- demultiplexer
- deserializaton
- desync
- desynced
- determ
- disablerepo
- distro
- doxyfile
- dxrpl
- enabled
- enablerepo
- endmacro
- exceptioned
- EXPECT_STREQ
- Falco
- fcontext
- finalizers
@@ -117,13 +110,10 @@ words:
- fmtdur
- fsanitize
- funclets
- gantt
- Gantt
- gcov
- gcovr
- ghead
- Gnutella
- godexsoft
- gpgcheck
- gpgkey
- hotwallet
@@ -164,11 +154,11 @@ words:
- mathbunnyru
- mcmodel
- MEMORYSTATUSEX
- MPTAMM
- MPTDEX
- Merkle
- Metafuncton
- misprediction
- missingok
- MPTAMM
- mptbalance
- MPTDEX
- mptflags
@@ -200,18 +190,12 @@ words:
- NOLINT
- NOLINTNEXTLINE
- nonxrp
- noreplace
- noripple
- nostd
- nostdinc
- notifempty
- nudb
- nullptr
- nunl
- Nyffenegger
- onlatest
- ostr
- otelc
- pargs
- partitioner
- paychan
@@ -219,7 +203,6 @@ words:
- permdex
- perminute
- permissioned
- pimpl
- pointee
- populator
- preauth
@@ -227,7 +210,6 @@ words:
- preauthorize
- preauthorizes
- preclaim
- preun
- protobuf
- protos
- ptrs
@@ -262,15 +244,12 @@ words:
- sfields
- shamap
- shamapitem
- shfmt
- shlibs
- sidechain
- SIGGOOD
- sle
- sles
- soci
- socidb
- SRPMS
- sslws
- statsd
- STATSDCOLLECTOR
@@ -290,7 +269,6 @@ words:
- takerpays
- ters
- TMEndpointv2
- traceql
- trixie
- tx
- txid
@@ -298,10 +276,9 @@ words:
- txjson
- txn
- txns
- txqueue
- txs
- ubsan
- UBSAN
- ubsan
- umant
- unacquired
- unambiguity
@@ -309,7 +286,6 @@ words:
- unauthorizing
- unergonomic
- unfetched
- unfindable
- unflatten
- unfund
- unimpair
@@ -339,6 +315,7 @@ words:
- xbridge
- xchain
- ximinez
- EXPECT_STREQ
- XMACRO
- xrpkuwait
- xrpl
@@ -346,5 +323,3 @@ words:
- xrplf
- xxhash
- xxhasher
- xychart
- zpages

View File

@@ -1,48 +0,0 @@
#!/bin/bash
# Sanity-check that the sanitizer runtimes shipped with g++/clang++ work
# end-to-end against the system loader: compile each example with both
# compilers, run it, and confirm the expected diagnostic is emitted.
set -eo pipefail
cpp_files_dir="${1:?usage: $0 <cpp_files_dir>}"
case "$(uname -m)" in
x86_64) loader=/lib64/ld-linux-x86-64.so.2 ;;
aarch64) loader=/lib/ld-linux-aarch64.so.1 ;;
*)
echo "Unsupported arch: $(uname -m)" >&2
exit 1
;;
esac
declare -A sanitize=(
[asan]="-fsanitize=address"
[tsan]="-fsanitize=thread"
[ubsan]="-fsanitize=undefined"
)
declare -A expect=(
[asan]="heap-use-after-free"
[tsan]="data race"
[ubsan]="signed integer overflow"
)
for compiler in g++ clang++; do
for name in asan tsan ubsan; do
bin="/tmp/${name}-${compiler}"
echo "=== Build ${name} with ${compiler} ==="
"$compiler" -std=c++20 -O1 -g ${sanitize[$name]} \
-Wl,--dynamic-linker=$loader \
"${cpp_files_dir}/${name}.cpp" -o "$bin"
echo "=== Run ${name}-${compiler} ==="
output=$("$bin" 2>&1) || true
echo "$output"
echo "$output" | grep -q "${expect[$name]}" ||
{
echo "expected '${expect[$name]}' from $bin"
exit 1
}
rm -f "$bin"
done
done

View File

@@ -1,28 +0,0 @@
#include <atomic>
#include <cstddef>
#include <iostream>
#if defined(__clang__) || defined(__GNUC__)
__attribute__((noinline))
#elif defined(_MSC_VER)
__declspec(noinline)
#endif
int
read_after_free(volatile int* array, std::size_t index)
{
std::atomic_signal_fence(std::memory_order_seq_cst);
int value = array[index];
std::atomic_signal_fence(std::memory_order_seq_cst);
return value;
}
int
main()
{
int* array = new int[5]{10, 20, 30, 40, 50};
delete[] array;
std::cout << "Value at index 2: " << read_after_free(array, 2) << std::endl;
return 0;
}

View File

@@ -1,26 +0,0 @@
#include <iostream>
#include <thread>
static int kCounter = 0;
void
increment()
{
for (int i = 0; i < 100'000; ++i)
{
++kCounter;
}
}
int
main()
{
std::thread t1(increment);
std::thread t2(increment);
t1.join();
t2.join();
std::cout << "Final counter value: " << kCounter << std::endl;
return 0;
}

View File

@@ -1,13 +0,0 @@
#include <iostream>
#include <limits>
int
main()
{
int maxInt = std::numeric_limits<int>::max();
int volatile one = 1;
std::cout << "Current max: " << maxInt << std::endl;
int overflowed = maxInt + one;
std::cout << "Overflowed result: " << overflowed << std::endl;
return 0;
}

View File

@@ -1,95 +0,0 @@
ARG BASE_IMAGE=nixos/nix:latest
# Nix builder
FROM nixos/nix:latest AS builder-source
RUN mkdir -p ~/.config/nix && \
echo "experimental-features = nix-command flakes" >> ~/.config/nix/nix.conf
# Copy our source and setup our working dir.
COPY nix/ci-env.nix /tmp/build/nix/ci-env.nix
COPY nix/packages.nix /tmp/build/nix/packages.nix
COPY nix/utils.nix /tmp/build/nix/utils.nix
COPY flake.nix /tmp/build/
COPY flake.lock /tmp/build/
WORKDIR /tmp/build
FROM builder-source AS builder
# Build our Nix CI environment (all build tools in a single store path)
RUN nix \
--option filter-syscalls false \
build
# Copy the Nix store closure into a directory. The Nix store closure is the
# entire set of Nix store values that we need for our build.
RUN mkdir /tmp/nix-store-closure && \
cp -R $(nix-store -qR result/) /tmp/nix-store-closure
# Final image
FROM ${BASE_IMAGE}
# bash is not located at /bin/bash in nixos/nix, so we need to create a symlink to it.
RUN if [ -d /nix ]; then \
ln -s /root/.nix-profile/bin/bash /bin/bash; \
fi
# Use Bash as the default shell for RUN commands, using the options
# `set -o errexit -o pipefail`, and as the entrypoint.
SHELL ["/bin/bash", "-e", "-o", "pipefail", "-c"]
ENTRYPOINT ["/bin/bash"]
# Copy /nix/store and the env symlink tree
COPY --from=builder /tmp/nix-store-closure /nix/store
COPY --from=builder /tmp/build/result /nix/ci-env
ENV PATH="/nix/ci-env/bin:$PATH"
# Externally-built dynamically-linked ELF binaries hard-code the loader path
# (e.g. /lib64/ld-linux-x86-64.so.2) in their PT_INTERP header. Copy the
# loader from the Nix store to that path when the base image doesn't already
# provide one (i.e. on nixos/nix).
RUN <<EOF
case "$(uname -m)" in
x86_64) target=/lib64/ld-linux-x86-64.so.2 ;;
aarch64) target=/lib/ld-linux-aarch64.so.1 ;;
*) echo "Unsupported arch: $(uname -m)" >&2; exit 1 ;;
esac
if [ ! -e "$target" ]; then
# Use the loader from the same glibc that gcc links libc against, so
# ld-linux and libc/libpthread share GLIBC_PRIVATE symbols at runtime.
src="$(dirname "$(gcc -print-file-name=libc.so.6)")/$(basename "$target")"
[ -e "$src" ] || { echo "ld-linux not found at $src" >&2; exit 1; }
mkdir -p "$(dirname "$target")"
cp "$src" "$target"
fi
EOF
RUN <<EOF
ccache --version
clang --version
clang++ --version
clang-format --version
cmake --version
conan --version
g++ --version
gcc --version
gcovr --version
git --version
make --version
mold --version
ninja --version
perl --version
pkg-config --version
pre-commit --version
python3 --version
run-clang-tidy --help
vim --version
EOF
# Sanity-check that the sanitizer runtimes shipped with g++/clang++ work
# end-to-end against the system loader.
COPY docker/cpp_files/ /tmp/cpp_files/
COPY docker/check-sanitizers.sh /tmp/check-sanitizers.sh
RUN grep -qi ubuntu /etc/os-release 2>/dev/null && /tmp/check-sanitizers.sh /tmp/cpp_files || true

View File

@@ -1,80 +0,0 @@
# Docker Compose stack for xrpld OpenTelemetry observability.
#
# Provides services for local development:
# - otel-collector: receives OTLP traces from xrpld, batches and
# forwards them to Tempo. Listens on ports 4317 (gRPC)
# and 4318 (HTTP).
# - tempo: Grafana Tempo tracing backend, queryable via Grafana Explore
# on port 3000. Recommended for production (S3/GCS storage, TraceQL).
# - grafana: dashboards on port 3000, pre-configured with Tempo
# datasource.
#
# Usage:
# docker compose -f docker/telemetry/docker-compose.yml up -d
#
# Configure xrpld to export traces by adding to xrpld.cfg:
# [telemetry]
# enabled=1
# endpoint=http://localhost:4318/v1/traces
services:
# OpenTelemetry Collector: receives spans from xrpld via OTLP protocol,
# batches them for efficiency, and forwards to Tempo for storage.
otel-collector:
image: otel/opentelemetry-collector-contrib:0.121.0
command: ["--config=/etc/otel-collector-config.yaml"]
ports:
- "4317:4317" # OTLP gRPC receiver
- "4318:4318" # OTLP HTTP receiver (xrpld sends traces here)
- "13133:13133" # Health check endpoint
volumes:
# Mount collector pipeline config (receivers → processors → exporters)
- ./otel-collector-config.yaml:/etc/otel-collector-config.yaml:ro
depends_on:
- tempo
networks:
- xrpld-telemetry
# Grafana Tempo: distributed tracing backend that stores and indexes
# spans. Queryable via TraceQL in Grafana Explore.
tempo:
image: grafana/tempo:2.7.2
command: ["-config.file=/etc/tempo.yaml"]
ports:
- "3200:3200" # Tempo HTTP API (health check, query)
volumes:
# Mount Tempo storage and ingestion config
- ./tempo.yaml:/etc/tempo.yaml:ro
# Persistent volume for trace data (WAL + blocks)
- tempo-data:/var/tempo
networks:
- xrpld-telemetry
# Grafana: visualization UI with Tempo pre-configured as a datasource.
# Anonymous admin access enabled for local development convenience.
grafana:
image: grafana/grafana:11.5.2
environment:
- GF_AUTH_ANONYMOUS_ENABLED=true # No login required for local dev
- GF_AUTH_ANONYMOUS_ORG_ROLE=Admin # Full access without auth
ports:
- "3000:3000" # Grafana web UI
volumes:
# Auto-provision Tempo datasource and search filters on startup
- ./grafana/provisioning:/etc/grafana/provisioning:ro
depends_on:
- tempo
networks:
- xrpld-telemetry
# Named volume for Tempo trace storage (WAL and compacted blocks).
# Data persists across container restarts. Remove with:
# docker compose -f docker/telemetry/docker-compose.yml down -v
volumes:
tempo-data:
# Isolated bridge network so services communicate by container name
# (e.g., the collector reaches Tempo at http://tempo:4317).
networks:
xrpld-telemetry:
driver: bridge

View File

@@ -1,91 +0,0 @@
# Grafana datasource provisioning for Grafana Tempo.
# Auto-configures Tempo as a trace data source on Grafana startup.
# Access Grafana at http://localhost:3000, then use Explore -> Tempo
# to browse xrpld traces using TraceQL.
#
# Search filters provide pre-configured dropdowns in the Explore UI.
# Each phase adds filters for the span attributes it introduces.
# Phase 1b (infra): Base filters — node identity, service, span name, status.
apiVersion: 1
datasources:
- name: Tempo
type: tempo
access: proxy
url: http://tempo:3200
uid: tempo
jsonData:
nodeGraph:
enabled: true
# Service map and traces-to-metrics require a Prometheus datasource
# (not included in this stack). These features are inactive until a
# Prometheus service is added to docker-compose.yml.
serviceMap:
datasourceUid: prometheus
tracesToMetrics:
datasourceUid: prometheus
spanStartTimeShift: "-1h"
spanEndTimeShift: "1h"
search:
filters:
# --- Node identification filters ---
# service.name: logical service name (default: "xrpld").
# Useful when running multiple service types in the same collector.
- id: service-name
tag: service.name
operator: "="
scope: resource
type: static
# service.instance.id: unique node identifier — defaults to the
# node's public key (e.g., nHB1X37...). Distinguishes individual
# nodes in a multi-node cluster or network.
- id: node-id
tag: service.instance.id
operator: "="
scope: resource
type: static
# service.version: xrpld build version (e.g., "2.4.0-b1").
# Filter traces from specific software releases.
- id: node-version
tag: service.version
operator: "="
scope: resource
type: dynamic
# xrpl.network.id: numeric network identifier
# (0 = mainnet, 1 = testnet, 2 = devnet, etc.).
# Derived from the [network_id] config section.
- id: network-id
tag: xrpl.network.id
operator: "="
scope: resource
type: dynamic
# xrpl.network.type: human-readable network name derived from
# network ID ("mainnet", "testnet", "devnet", "unknown").
- id: network-type
tag: xrpl.network.type
operator: "="
scope: resource
type: static
# --- Span intrinsic filters ---
# name: the span operation name (e.g., "rpc.command.server_info").
# Use to find traces for a specific RPC command or subsystem.
- id: span-name
tag: name
operator: "="
scope: intrinsic
type: static
# status: span completion status ("ok", "error", "unset").
# Filter for failed operations to diagnose errors.
- id: span-status
tag: status
operator: "="
scope: intrinsic
type: static
# duration: span wall-clock duration. Use with ">" operator
# to find slow operations (e.g., duration > 500ms).
- id: span-duration
tag: duration
operator: ">"
scope: intrinsic
type: static

View File

@@ -1,39 +0,0 @@
# OpenTelemetry Collector configuration for xrpld development.
#
# Pipeline: OTLP receiver -> batch processor -> debug + Tempo.
# xrpld sends traces via OTLP/HTTP to port 4318. The collector batches
# them and forwards to Tempo via OTLP/gRPC on the Docker network. Tempo
# is queryable via Grafana Explore using TraceQL.
receivers:
otlp:
protocols:
grpc:
endpoint: 0.0.0.0:4317
http:
endpoint: 0.0.0.0:4318
processors:
batch:
timeout: 1s
send_batch_size: 100
exporters:
debug:
verbosity: detailed
otlp/tempo:
endpoint: tempo:4317
tls:
insecure: true
extensions:
health_check:
endpoint: 0.0.0.0:13133
service:
extensions: [health_check]
pipelines:
traces:
receivers: [otlp]
processors: [batch]
exporters: [debug, otlp/tempo]

View File

@@ -1,61 +0,0 @@
# Grafana Tempo configuration for xrpld telemetry stack.
#
# Runs in single-binary mode for local development.
# Receives traces via OTLP/gRPC from the OTel Collector and stores
# them locally. Queryable via Grafana Explore using the Tempo datasource.
#
# Search filters are configured on the Grafana datasource side
# (grafana/provisioning/datasources/tempo.yaml). Tempo auto-indexes
# all span attributes for search in single-binary mode.
#
# For production, replace local storage with S3/GCS backend and adjust
# retention via the compactor settings. See:
# https://grafana.com/docs/tempo/latest/configuration/
stream_over_http_enabled: true
server:
http_listen_port: 3200
distributor:
receivers:
otlp:
protocols:
grpc:
endpoint: 0.0.0.0:4317
ingester:
max_block_duration: 5m
compactor:
compaction:
block_retention: 1h
# Enable metrics generator for service graph and span metrics.
# Produces RED metrics (rate, errors, duration) per service/span,
# feeding Grafana's service map visualization.
metrics_generator:
registry:
external_labels:
source: tempo
storage:
path: /var/tempo/generator/wal
# Uncomment and add a Prometheus service to docker-compose.yml
# to enable remote_write for service graph metrics:
# remote_write:
# - url: http://prometheus:9090/api/v1/write
overrides:
defaults:
metrics_generator:
processors:
- service-graphs
- span-metrics
storage:
trace:
backend: local
wal:
path: /var/tempo/wal
local:
path: /var/tempo/blocks

View File

@@ -1,17 +1,15 @@
# Sanitizer Configuration for Xrpld
This document explains how to properly configure and run sanitizers (`AddressSanitizer`, `UndefinedBehaviorSanitizer`, `ThreadSanitizer`) with the xrpld project.
This document explains how to properly configure and run sanitizers (AddressSanitizer, undefinedbehaviorSanitizer, ThreadSanitizer) with the xrpld project.
Corresponding suppression files are located in the `sanitizers/suppressions` directory.
> [!CAUTION]
> Do not mix Address and Thread sanitizers - they are incompatible.
> Also, we don't yet support MSVC sanitizers, so this is only for Clang/GCC builds.
- [Sanitizer Configuration for Xrpld](#sanitizer-configuration-for-xrpld)
- [Building with Sanitizers](#building-with-sanitizers)
- [Summary](#summary)
- [Build steps:](#build-steps)
- [Install dependencies](#install-dependencies)
- [Call CMake](#call-cmake)
- [Build](#build)
- [Running Tests with Sanitizers](#running-tests-with-sanitizers)
- [AddressSanitizer (ASAN)](#addresssanitizer-asan)
- [ThreadSanitizer (TSan)](#threadsanitizer-tsan)
@@ -35,13 +33,9 @@ Corresponding suppression files are located in the `sanitizers/suppressions` dir
Follow the same instructions as mentioned in [BUILD.md](../../BUILD.md) but with the following changes:
1. Make sure you have a clean build directory.
2. Set the `SANITIZERS` environment variable before calling `conan install`. Only set it once.
2. Set the `SANITIZERS` environment variable before calling conan install and cmake. Only set it once. Make sure both conan and cmake read the same values.
Example: `export SANITIZERS=address,undefinedbehavior`
3. Use `--profile:all sanitizers` with Conan to build dependencies with sanitizer instrumentation.
> [!NOTE]
> Building with sanitizer-instrumented dependencies is slower but produces fewer false positives.
3. Optionally use `--profile:all sanitizers` with Conan to build dependencies with sanitizer instrumentation. [!NOTE]Building with sanitizer-instrumented dependencies is slower but produces fewer false positives.
4. Set `ASAN_OPTIONS`, `LSAN_OPTIONS`, `UBSAN_OPTIONS` and `TSAN_OPTIONS` environment variables to configure sanitizer behavior when running executables. [More details below](#running-tests-with-sanitizers).
---
@@ -57,13 +51,36 @@ cd .build
#### Install dependencies
The `SANITIZERS` environment variable is used during `conan install` command.
The `SANITIZERS` environment variable is used by both Conan and CMake.
```bash
SANITIZERS=address,undefinedbehavior conan install .. --output-folder . --build missing --settings build_type=Debug --profile:all sanitizers
export SANITIZERS=address,undefinedbehavior
# Standard build (without instrumenting dependencies)
conan install .. --output-folder . --build missing --settings build_type=Debug
# Or with sanitizer-instrumented dependencies (takes longer but fewer false positives)
conan install .. --output-folder . --profile:all sanitizers --build missing --settings build_type=Debug
```
Proceed with the rest of the build instructions as mentioned in [BUILD.md](../../BUILD.md).
[!CAUTION]
Do not mix Address and Thread sanitizers - they are incompatible.
Since you already set the `SANITIZERS` environment variable when running Conan, same values will be read for the next part.
#### Call CMake
```bash
cmake .. -G Ninja \
-DCMAKE_TOOLCHAIN_FILE:FILEPATH=build/generators/conan_toolchain.cmake \
-DCMAKE_BUILD_TYPE=Debug \
-Dtests=ON -Dxrpld=ON
```
#### Build
```bash
cmake --build . --parallel 4
```
## Running Tests with Sanitizers

View File

@@ -1,299 +0,0 @@
# OpenTelemetry Tracing for xrpld
This document explains how to build xrpld with OpenTelemetry distributed tracing support, configure the runtime telemetry options, and set up the observability backend to view traces.
- [OpenTelemetry Tracing for xrpld](#opentelemetry-tracing-for-xrpld)
- [Overview](#overview)
- [Building with Telemetry](#building-with-telemetry)
- [Summary](#summary)
- [Build steps](#build-steps)
- [Install dependencies](#install-dependencies)
- [Call CMake](#call-cmake)
- [Build](#build)
- [Building without telemetry](#building-without-telemetry)
- [Runtime Configuration](#runtime-configuration)
- [Configuration options](#configuration-options)
- [Observability Stack](#observability-stack)
- [Start the stack](#start-the-stack)
- [Verify the stack](#verify-the-stack)
- [View traces in Grafana Explore](#view-traces-in-grafana-explore)
- [Running Tests](#running-tests)
- [Troubleshooting](#troubleshooting)
- [No traces appear in Grafana](#no-traces-appear-in-grafana)
- [Conan lockfile error](#conan-lockfile-error)
- [CMake target not found](#cmake-target-not-found)
- [Architecture](#architecture)
- [Key files](#key-files)
- [Conditional compilation](#conditional-compilation)
## Overview
xrpld supports optional [OpenTelemetry](https://opentelemetry.io/) distributed tracing.
When enabled, it instruments RPC requests with trace spans that are exported via
OTLP/HTTP to an OpenTelemetry Collector, which forwards them to a tracing backend
such as Grafana Tempo.
Telemetry is **off by default** at both compile time and runtime:
- **Compile time**: The Conan option `telemetry` and CMake option `telemetry` must be set to `True`/`ON`.
When disabled, all `SpanGuard` calls compile to inline no-ops (defined in `SpanGuard.h`)
with zero overhead — no OTel SDK dependency required.
- **Runtime**: The `[telemetry]` config section must set `enabled=1`.
When disabled at runtime, a no-op implementation is used.
## Building with Telemetry
### Summary
Follow the same instructions as mentioned in [BUILD.md](../../BUILD.md) but with the following changes:
1. Pass `-o telemetry=True` to `conan install` to pull the `opentelemetry-cpp` dependency.
2. CMake will automatically pick up `telemetry=ON` from the Conan-generated toolchain.
3. Build as usual.
---
### Build steps
```bash
cd /path/to/xrpld
rm -rf .build
mkdir .build
cd .build
```
#### Install dependencies
The `telemetry` option adds `opentelemetry-cpp/1.26.0` as a dependency.
If the Conan lockfile does not yet include this package, bypass it with `--lockfile=""`.
```bash
conan install .. \
--output-folder . \
--build missing \
--settings build_type=Debug \
-o telemetry=True \
-o tests=True \
-o xrpld=True \
--lockfile=""
```
> **Note**: The first build with telemetry may take longer as `opentelemetry-cpp`
> and its transitive dependencies are compiled from source.
#### Call CMake
The Conan-generated toolchain file sets `telemetry=ON` automatically.
No additional CMake flags are needed beyond the standard ones.
```bash
cmake .. -G Ninja \
-DCMAKE_TOOLCHAIN_FILE:FILEPATH=build/generators/conan_toolchain.cmake \
-DCMAKE_BUILD_TYPE=Debug \
-Dtests=ON -Dxrpld=ON
```
You should see in the CMake output:
```
-- OpenTelemetry tracing enabled
```
#### Build
```bash
cmake --build . --parallel $(nproc)
```
### Building without telemetry
Omit the `-o telemetry=True` option (or pass `-o telemetry=False`).
The `opentelemetry-cpp` dependency will not be downloaded,
the `XRPL_ENABLE_TELEMETRY` preprocessor define will not be set,
and all tracing macros will compile to no-ops.
The resulting binary is identical to one built before telemetry support was added.
## Runtime Configuration
Add a `[telemetry]` section to your `xrpld.cfg` file:
```ini
[telemetry]
enabled=1
endpoint=http://localhost:4318/v1/traces
sampling_ratio=1.0
trace_rpc=1
trace_transactions=1
trace_consensus=1
trace_peer=0
trace_ledger=1
```
### Configuration options
| Option | Type | Default | Description |
| --------------------- | ------ | --------------------------------- | -------------------------------------------------- |
| `enabled` | int | `0` | Enable (`1`) or disable (`0`) telemetry at runtime |
| `service_name` | string | `xrpld` | Service name reported in traces |
| `service_instance_id` | string | node public key | Unique instance identifier |
| `endpoint` | string | `http://localhost:4318/v1/traces` | OTLP/HTTP collector endpoint |
| `use_tls` | int | `0` | Enable TLS for the exporter connection |
| `tls_ca_cert` | string | (empty) | Path to CA certificate for TLS |
| `sampling_ratio` | double | `1.0` | Head-based sampling ratio (`0.0` to `1.0`) |
| `batch_size` | uint32 | `512` | Maximum spans per export batch |
| `batch_delay_ms` | uint32 | `5000` | Maximum delay (ms) before flushing a batch |
| `max_queue_size` | uint32 | `2048` | Maximum spans queued in memory |
| `trace_rpc` | int | `1` | Enable RPC request tracing |
| `trace_transactions` | int | `1` | Enable transaction lifecycle tracing |
| `trace_consensus` | int | `1` | Enable consensus round tracing |
| `trace_peer` | int | `0` | Enable peer message tracing (high volume) |
| `trace_ledger` | int | `1` | Enable ledger close tracing |
## Observability Stack
A Docker Compose stack is provided in `docker/telemetry/` with three services:
| Service | Port | Purpose |
| ------------------ | ---------------------------------------------- | --------------------------------------------------- |
| **OTel Collector** | `4317` (gRPC), `4318` (HTTP), `13133` (health) | Receives OTLP spans, batches, and forwards to Tempo |
| **Tempo** | `3200` (HTTP API) | Trace storage backend |
| **Grafana** | `3000` | Dashboards (Tempo pre-configured as datasource) |
### Start the stack
```bash
docker compose -f docker/telemetry/docker-compose.yml up -d
```
### Verify the stack
```bash
# Collector health
curl http://localhost:13133
# Grafana (Explore -> Tempo for traces)
open http://localhost:3000
```
### View traces in Grafana Explore
1. Open `http://localhost:3000` in a browser.
2. Navigate to **Explore** and select the **Tempo** datasource.
3. Use **Search** or **TraceQL** to find traces by service name (e.g. `xrpld`).
4. Click into any trace to see the span tree and attributes.
Traced RPC operations produce a span hierarchy like:
```
rpc.request
└── rpc.command.server_info (command=server_info, rpc_status=success)
```
Each span includes attributes:
- `command` — the RPC method name
- `version` — API version
- `rpc_role``admin` or `user`
- `rpc_status``success` or `error`
## Running Tests
Unit tests run with the telemetry-enabled build regardless of whether the
observability stack is running. When no collector is available, the exporter
silently drops spans with no impact on test results.
```bash
# Run all RPC tests
./xrpld --unittest=RPCCall,ServerInfo,AccountTx,LedgerRPC,Transaction --unittest-jobs $(nproc)
# Run the full test suite
./xrpld --unittest --unittest-jobs $(nproc)
```
To generate traces during manual testing, start xrpld in standalone mode:
```bash
./xrpld --conf /path/to/xrpld.cfg --standalone --start
```
Then send RPC requests:
```bash
curl -s -X POST http://127.0.0.1:5005/ \
-H "Content-Type: application/json" \
-d '{"method":"server_info","params":[{}]}'
```
## Troubleshooting
### No traces appear in Grafana
1. Confirm the OTel Collector is running: `docker compose -f docker/telemetry/docker-compose.yml ps`
2. Check collector logs for errors: `docker compose -f docker/telemetry/docker-compose.yml logs otel-collector`
3. Confirm `[telemetry] enabled=1` is set in the xrpld config.
4. Confirm `endpoint` points to the correct collector address (`http://localhost:4318/v1/traces`).
5. Wait for the batch delay to elapse (default `5000` ms) before checking Grafana Explore.
### Conan lockfile error
If you see `ERROR: Requirement 'opentelemetry-cpp/1.26.0' not in lockfile 'requires'`,
the lockfile was generated without the telemetry dependency.
Pass `--lockfile=""` to bypass the lockfile, or regenerate it with telemetry enabled.
### CMake target not found
If CMake reports that `opentelemetry-cpp` targets are not found,
ensure you ran `conan install` with `-o telemetry=True` and that the
Conan-generated toolchain file is being used.
The Conan package provides a single umbrella target
`opentelemetry-cpp::opentelemetry-cpp` (not individual component targets).
## Architecture
### Key files
| File | Purpose |
| --------------------------------------------- | ------------------------------------------------------------ |
| `include/xrpl/telemetry/Telemetry.h` | Abstract telemetry interface and `Setup` struct |
| `include/xrpl/telemetry/SpanGuard.h` | RAII span guard with `discard()` for dropping unwanted spans |
| `include/xrpl/telemetry/DiscardFlag.h` | Thread-local discard flag (zero-dependency header) |
| `src/libxrpl/telemetry/Telemetry.cpp` | OTel SDK setup, `FilteringSpanProcessor`, provider lifecycle |
| `src/libxrpl/telemetry/TelemetryConfig.cpp` | Config parser (`setup_Telemetry()`) |
| `src/libxrpl/telemetry/NullTelemetry.cpp` | No-op implementation (used when disabled) |
| `src/libxrpl/telemetry/SpanGuard.cpp` | Pimpl implementation for SpanGuard (all OTel types confined) |
| `src/xrpld/rpc/detail/ServerHandler.cpp` | RPC entry point instrumentation |
| `src/xrpld/rpc/detail/RPCHandler.cpp` | Per-command instrumentation |
| `docker/telemetry/docker-compose.yml` | Observability stack (Collector + Tempo + Grafana) |
| `docker/telemetry/otel-collector-config.yaml` | OTel Collector pipeline configuration |
### Span discard mechanism
`SpanGuard::discard()` allows callers to silently drop spans that turn out to be
uninteresting (e.g., failed preflight transactions). This saves both network bandwidth
and storage by preventing the span from being exported.
The mechanism uses a thread-local flag (`tl_discardCurrentSpan` in `DiscardFlag.h`) as a
side-channel to the `FilteringSpanProcessor` (in `Telemetry.cpp`):
1. `SpanGuard::discard()` sets the thread-local flag and calls `Span::End()`
2. The OTel SDK calls `FilteringSpanProcessor::OnEnd()` synchronously on the same thread
3. The processor checks the flag, clears it, and drops the span before it enters the batch queue
```cpp
SpanGuard guard(telemetry.startSpan("tx.process"));
auto result = preflight(tx);
if (result != tesSUCCESS)
{
guard.discard(); // span is dropped, never exported
return result;
}
```
### Conditional compilation
All OpenTelemetry SDK types are hidden behind the pimpl idiom in `SpanGuard.cpp`.
When `XRPL_ENABLE_TELEMETRY` is not defined, `SpanGuard.h` provides an all-inline
no-op stub class with zero overhead and zero OTel dependencies.
At runtime, if `enabled=0` is set in config (or the section is omitted), a
`NullTelemetry` implementation is used that returns no-op spans.
This two-layer approach ensures zero overhead when telemetry is not wanted.

26
flake.lock generated
View File

@@ -2,11 +2,11 @@
"nodes": {
"nixpkgs": {
"locked": {
"lastModified": 1777954456,
"narHash": "sha256-hGdgeU2Nk87RAuZyYjyDjFL6LK7dAZN5RE9+hrDTkDU=",
"lastModified": 1769461804,
"narHash": "sha256-6h5sROT/3CTHvzPy9koKBmoCa2eJKh4fzQK8eYFEgl8=",
"owner": "NixOS",
"repo": "nixpkgs",
"rev": "549bd84d6279f9852cae6225e372cc67fb91a4c1",
"rev": "b579d443b37c9c5373044201ea77604e37e748c8",
"type": "github"
},
"original": {
@@ -15,27 +15,9 @@
"type": "indirect"
}
},
"nixpkgs-custom-glibc": {
"flake": false,
"locked": {
"lastModified": 1593520194,
"narHash": "sha256-+TZW+2I7kLL9JglPNOagm1ywjf9ua0JYGoptq/dzVn0=",
"owner": "NixOS",
"repo": "nixpkgs",
"rev": "9cd98386a38891d1074fc18036b842dc4416f562",
"type": "github"
},
"original": {
"owner": "NixOS",
"repo": "nixpkgs",
"rev": "9cd98386a38891d1074fc18036b842dc4416f562",
"type": "github"
}
},
"root": {
"inputs": {
"nixpkgs": "nixpkgs",
"nixpkgs-custom-glibc": "nixpkgs-custom-glibc"
"nixpkgs": "nixpkgs"
}
}
},

View File

@@ -2,24 +2,15 @@
description = "Nix related things for xrpld";
inputs = {
nixpkgs.url = "nixpkgs/nixos-unstable";
# nixpkgs snapshot (2020-06-30) that shipped glibc 2.31 as the primary
# version — matches the system libc on Ubuntu 20.04 LTS. Imported
# manually (flake = false) because this revision predates nixpkgs'
# own flake.nix.
nixpkgs-custom-glibc = {
url = "github:NixOS/nixpkgs/9cd98386a38891d1074fc18036b842dc4416f562";
flake = false;
};
};
outputs =
{ nixpkgs, nixpkgs-custom-glibc, ... }:
{ nixpkgs, ... }:
let
forEachSystem = import ./nix/utils.nix { inherit nixpkgs nixpkgs-custom-glibc; };
forEachSystem = (import ./nix/utils.nix { inherit nixpkgs; }).forEachSystem;
in
{
devShells = forEachSystem (import ./nix/devshell.nix);
packages = forEachSystem (import ./nix/ci-env.nix);
formatter = forEachSystem ({ pkgs, ... }: pkgs.nixfmt);
};
}

View File

@@ -148,23 +148,17 @@ public:
}
[[nodiscard]] constexpr E const&
error() const&
error() const
{
return Base::error();
}
[[nodiscard]] constexpr E&
error() &
constexpr E&
error()
{
return Base::error();
}
[[nodiscard]] constexpr E&&
error() &&
{
return std::move(Base::error());
}
constexpr explicit
operator bool() const
{
@@ -221,23 +215,17 @@ public:
}
[[nodiscard]] constexpr E const&
error() const&
error() const
{
return Base::error();
}
[[nodiscard]] constexpr E&
error() &
constexpr E&
error()
{
return Base::error();
}
[[nodiscard]] constexpr E&&
error() &&
{
return std::move(Base::error());
}
constexpr explicit
operator bool() const
{

View File

@@ -406,8 +406,8 @@ private:
// pointer. The low bit must be masked to zero when converting back to a
// pointer. If the low bit is '1', this is a weak pointer.
std::uintptr_t tp_{0};
static constexpr std::uintptr_t kTagMask = 1;
static constexpr std::uintptr_t kPtrMask = ~kTagMask;
static constexpr std::uintptr_t kTAG_MASK = 1;
static constexpr std::uintptr_t kPTR_MASK = ~kTAG_MASK;
private:
/** Return the raw pointer held by this object.

View File

@@ -567,14 +567,14 @@ template <class T>
bool
SharedWeakUnion<T>::isStrong() const
{
return (tp_ & kTagMask) == 0u;
return (tp_ & kTAG_MASK) == 0u;
}
template <class T>
bool
SharedWeakUnion<T>::isWeak() const
{
return (tp_ & kTagMask) != 0u;
return (tp_ & kTAG_MASK) != 0u;
}
template <class T>
@@ -641,7 +641,7 @@ template <class T>
T*
SharedWeakUnion<T>::unsafeGetRawPtr() const
{
return reinterpret_cast<T*>(tp_ & kPtrMask);
return reinterpret_cast<T*>(tp_ & kPTR_MASK);
}
template <class T>
@@ -650,7 +650,7 @@ SharedWeakUnion<T>::unsafeSetRawPtr(T* p, RefStrength rs)
{
tp_ = reinterpret_cast<std::uintptr_t>(p);
if (tp_ && rs == RefStrength::Weak)
tp_ |= kTagMask;
tp_ |= kTAG_MASK;
}
template <class T>

View File

@@ -98,11 +98,11 @@ private:
// enough for strong pointers and 14 bit counts are enough for weak
// pointers. Use type aliases to make it easy to switch types.
using CountType = std::uint16_t;
static constexpr size_t kStrongCountNumBits = sizeof(CountType) * 8;
static constexpr size_t kWeakCountNumBits = kStrongCountNumBits - 2;
static constexpr size_t kSTRONG_COUNT_NUM_BITS = sizeof(CountType) * 8;
static constexpr size_t kWEAK_COUNT_NUM_BITS = kSTRONG_COUNT_NUM_BITS - 2;
using FieldType = std::uint32_t;
static constexpr size_t kFieldTypeBits = sizeof(FieldType) * 8;
static constexpr FieldType kOne = 1;
static constexpr size_t kFIELD_TYPE_BITS = sizeof(FieldType) * 8;
static constexpr FieldType kONE = 1;
/** `refCounts` consists of four fields that are treated atomically:
@@ -137,21 +137,21 @@ private:
*/
mutable std::atomic<FieldType> refCounts_{kStrongDelta};
mutable std::atomic<FieldType> refCounts_{kSTRONG_DELTA};
/** Amount to change the strong count when adding or releasing a reference
Note: The strong count is stored in the low `StrongCountNumBits` bits
of refCounts
*/
static constexpr FieldType kStrongDelta = 1;
static constexpr FieldType kSTRONG_DELTA = 1;
/** Amount to change the weak count when adding or releasing a reference
Note: The weak count is stored in the high `WeakCountNumBits` bits of
refCounts
*/
static constexpr FieldType kWeakDelta = (kOne << kStrongCountNumBits);
static constexpr FieldType kWEAK_DELTA = (kONE << kSTRONG_COUNT_NUM_BITS);
/** Flag that is set when the partialDestroy function has started running
(or is about to start running).
@@ -159,33 +159,34 @@ private:
See description of the `refCounts` field for a fuller description of
this field.
*/
static constexpr FieldType kPartialDestroyStartedMask = (kOne << (kFieldTypeBits - 1));
static constexpr FieldType kPARTIAL_DESTROY_STARTED_MASK = (kONE << (kFIELD_TYPE_BITS - 1));
/** Flag that is set when the partialDestroy function has finished running
See description of the `refCounts` field for a fuller description of
this field.
*/
static constexpr FieldType kPartialDestroyFinishedMask = (kOne << (kFieldTypeBits - 2));
static constexpr FieldType kPARTIAL_DESTROY_FINISHED_MASK = (kONE << (kFIELD_TYPE_BITS - 2));
/** Mask that will zero out all the `count` bits and leave the tag bits
unchanged.
*/
static constexpr FieldType kTagMask = kPartialDestroyStartedMask | kPartialDestroyFinishedMask;
static constexpr FieldType kTAG_MASK =
kPARTIAL_DESTROY_STARTED_MASK | kPARTIAL_DESTROY_FINISHED_MASK;
/** Mask that will zero out the `tag` bits and leave the count bits
unchanged.
*/
static constexpr FieldType kValueMask = ~kTagMask;
static constexpr FieldType kVALUE_MASK = ~kTAG_MASK;
/** Mask that will zero out everything except the strong count.
*/
static constexpr FieldType kStrongMask = ((kOne << kStrongCountNumBits) - 1) & kValueMask;
static constexpr FieldType kSTRONG_MASK = ((kONE << kSTRONG_COUNT_NUM_BITS) - 1) & kVALUE_MASK;
/** Mask that will zero out everything except the weak count.
*/
static constexpr FieldType kWeakMask =
(((kOne << kWeakCountNumBits) - 1) << kStrongCountNumBits) & kValueMask;
static constexpr FieldType kWEAK_MASK =
(((kONE << kWEAK_COUNT_NUM_BITS) - 1) << kSTRONG_COUNT_NUM_BITS) & kVALUE_MASK;
/** Unpack the count and tag fields from the packed atomic integer form. */
struct RefCountPair
@@ -210,29 +211,29 @@ private:
[[nodiscard]] FieldType
combinedValue() const noexcept;
static constexpr CountType kMaxStrongValue =
static_cast<CountType>((kOne << kStrongCountNumBits) - 1);
static constexpr CountType kMaxWeakValue =
static_cast<CountType>((kOne << kWeakCountNumBits) - 1);
static constexpr CountType kMAX_STRONG_VALUE =
static_cast<CountType>((kONE << kSTRONG_COUNT_NUM_BITS) - 1);
static constexpr CountType kMAX_WEAK_VALUE =
static_cast<CountType>((kONE << kWEAK_COUNT_NUM_BITS) - 1);
/** Put an extra margin to detect when running up against limits.
This is only used in debug code, and is useful if we reduce the
number of bits in the strong and weak counts (to 16 and 14 bits).
*/
static constexpr CountType kCheckStrongMaxValue = kMaxStrongValue - 32;
static constexpr CountType kCheckWeakMaxValue = kMaxWeakValue - 32;
static constexpr CountType kCHECK_STRONG_MAX_VALUE = kMAX_STRONG_VALUE - 32;
static constexpr CountType kCHECK_WEAK_MAX_VALUE = kMAX_WEAK_VALUE - 32;
};
};
inline void
IntrusiveRefCounts::addStrongRef() const noexcept
{
refCounts_.fetch_add(kStrongDelta, std::memory_order_acq_rel);
refCounts_.fetch_add(kSTRONG_DELTA, std::memory_order_acq_rel);
}
inline void
IntrusiveRefCounts::addWeakRef() const noexcept
{
refCounts_.fetch_add(kWeakDelta, std::memory_order_acq_rel);
refCounts_.fetch_add(kWEAK_DELTA, std::memory_order_acq_rel);
}
inline ReleaseStrongRefAction
@@ -251,10 +252,10 @@ IntrusiveRefCounts::releaseStrongRef() const
{
RefCountPair const prevVal{prevIntVal};
XRPL_ASSERT(
(prevVal.strong >= kStrongDelta),
(prevVal.strong >= kSTRONG_DELTA),
"xrpl::IntrusiveRefCounts::releaseStrongRef : previous ref "
"higher than new");
auto nextIntVal = prevIntVal - kStrongDelta;
auto nextIntVal = prevIntVal - kSTRONG_DELTA;
ReleaseStrongRefAction action = NoOp;
if (prevVal.strong == 1)
{
@@ -264,7 +265,7 @@ IntrusiveRefCounts::releaseStrongRef() const
}
else
{
nextIntVal |= kPartialDestroyStartedMask;
nextIntVal |= kPARTIAL_DESTROY_STARTED_MASK;
action = PartialDestroy;
}
}
@@ -275,7 +276,7 @@ IntrusiveRefCounts::releaseStrongRef() const
// count to zero can start a partial destroy, and that can't happen
// twice.
XRPL_ASSERT(
(action == NoOp) || !(prevIntVal & kPartialDestroyStartedMask),
(action == NoOp) || !(prevIntVal & kPARTIAL_DESTROY_STARTED_MASK),
"xrpl::IntrusiveRefCounts::releaseStrongRef : not in partial "
"destroy");
return action;
@@ -288,8 +289,8 @@ IntrusiveRefCounts::addWeakReleaseStrongRef() const
{
using enum ReleaseStrongRefAction;
static_assert(kWeakDelta > kStrongDelta);
static constexpr auto kDelta = kWeakDelta - kStrongDelta;
static_assert(kWEAK_DELTA > kSTRONG_DELTA);
auto constexpr kDELTA = kWEAK_DELTA - kSTRONG_DELTA;
auto prevIntVal = refCounts_.load(std::memory_order_acquire);
// This loop will almost always run once. The loop is needed to atomically
// change the counts and flags (the count could be atomically changed, but
@@ -311,7 +312,7 @@ IntrusiveRefCounts::addWeakReleaseStrongRef() const
"xrpl::IntrusiveRefCounts::addWeakReleaseStrongRef : not in "
"partial destroy");
auto nextIntVal = prevIntVal + kDelta;
auto nextIntVal = prevIntVal + kDELTA;
ReleaseStrongRefAction action = NoOp;
if (prevVal.strong == 1)
{
@@ -321,14 +322,14 @@ IntrusiveRefCounts::addWeakReleaseStrongRef() const
}
else
{
nextIntVal |= kPartialDestroyStartedMask;
nextIntVal |= kPARTIAL_DESTROY_STARTED_MASK;
action = PartialDestroy;
}
}
if (refCounts_.compare_exchange_weak(prevIntVal, nextIntVal, std::memory_order_acq_rel))
{
XRPL_ASSERT(
(!(prevIntVal & kPartialDestroyStartedMask)),
(!(prevIntVal & kPARTIAL_DESTROY_STARTED_MASK)),
"xrpl::IntrusiveRefCounts::addWeakReleaseStrongRef : not "
"started partial destroy");
return action;
@@ -339,7 +340,7 @@ IntrusiveRefCounts::addWeakReleaseStrongRef() const
inline ReleaseWeakRefAction
IntrusiveRefCounts::releaseWeakRef() const
{
auto prevIntVal = refCounts_.fetch_sub(kWeakDelta, std::memory_order_acq_rel);
auto prevIntVal = refCounts_.fetch_sub(kWEAK_DELTA, std::memory_order_acq_rel);
RefCountPair prev = prevIntVal;
if (prev.weak == 1 && prev.strong == 0)
{
@@ -356,7 +357,7 @@ IntrusiveRefCounts::releaseWeakRef() const
{
// partial destroy MUST finish before running a full destroy (when
// using weak pointers)
refCounts_.wait(prevIntVal - kWeakDelta, std::memory_order_acquire);
refCounts_.wait(prevIntVal - kWEAK_DELTA, std::memory_order_acquire);
}
return ReleaseWeakRefAction::Destroy;
}
@@ -375,7 +376,7 @@ IntrusiveRefCounts::checkoutStrongRefFromWeak() const noexcept
if (prev.strong == 0u)
return false;
desiredValue = curValue + kStrongDelta;
desiredValue = curValue + kSTRONG_DELTA;
}
return true;
}
@@ -399,22 +400,23 @@ inline IntrusiveRefCounts::~IntrusiveRefCounts() noexcept
#ifndef NDEBUG
auto v = refCounts_.load(std::memory_order_acquire);
XRPL_ASSERT(
(!(v & kValueMask)), "xrpl::IntrusiveRefCounts::~IntrusiveRefCounts : count must be zero");
auto t = v & kTagMask;
XRPL_ASSERT((!t || t == kTagMask), "xrpl::IntrusiveRefCounts::~IntrusiveRefCounts : valid tag");
(!(v & kVALUE_MASK)), "xrpl::IntrusiveRefCounts::~IntrusiveRefCounts : count must be zero");
auto t = v & kTAG_MASK;
XRPL_ASSERT(
(!t || t == kTAG_MASK), "xrpl::IntrusiveRefCounts::~IntrusiveRefCounts : valid tag");
#endif
}
//------------------------------------------------------------------------------
inline IntrusiveRefCounts::RefCountPair::RefCountPair(IntrusiveRefCounts::FieldType v) noexcept
: strong{static_cast<CountType>(v & kStrongMask)}
, weak{static_cast<CountType>((v & kWeakMask) >> kStrongCountNumBits)}
, partialDestroyStartedBit{v & kPartialDestroyStartedMask}
, partialDestroyFinishedBit{v & kPartialDestroyFinishedMask}
: strong{static_cast<CountType>(v & kSTRONG_MASK)}
, weak{static_cast<CountType>((v & kWEAK_MASK) >> kSTRONG_COUNT_NUM_BITS)}
, partialDestroyStartedBit{v & kPARTIAL_DESTROY_STARTED_MASK}
, partialDestroyFinishedBit{v & kPARTIAL_DESTROY_FINISHED_MASK}
{
XRPL_ASSERT(
(strong < kCheckStrongMaxValue && weak < kCheckWeakMaxValue),
(strong < kCHECK_STRONG_MAX_VALUE && weak < kCHECK_WEAK_MAX_VALUE),
"xrpl::IntrusiveRefCounts::RefCountPair(FieldType) : inputs inside "
"range");
}
@@ -425,7 +427,7 @@ inline IntrusiveRefCounts::RefCountPair::RefCountPair(
: strong{s}, weak{w}
{
XRPL_ASSERT(
(strong < kCheckStrongMaxValue && weak < kCheckWeakMaxValue),
(strong < kCHECK_STRONG_MAX_VALUE && weak < kCHECK_WEAK_MAX_VALUE),
"xrpl::IntrusiveRefCounts::RefCountPair(CountType, CountType) : "
"inputs inside range");
}
@@ -434,11 +436,11 @@ inline IntrusiveRefCounts::FieldType
IntrusiveRefCounts::RefCountPair::combinedValue() const noexcept
{
XRPL_ASSERT(
(strong < kCheckStrongMaxValue && weak < kCheckWeakMaxValue),
(strong < kCHECK_STRONG_MAX_VALUE && weak < kCHECK_WEAK_MAX_VALUE),
"xrpl::IntrusiveRefCounts::RefCountPair::combinedValue : inputs "
"inside range");
return (static_cast<IntrusiveRefCounts::FieldType>(weak)
<< IntrusiveRefCounts::kStrongCountNumBits) |
<< IntrusiveRefCounts::kSTRONG_COUNT_NUM_BITS) |
static_cast<IntrusiveRefCounts::FieldType>(strong) | partialDestroyStartedBit |
partialDestroyFinishedBit;
}
@@ -449,7 +451,7 @@ partialDestructorFinished(T** o)
{
T& self = **o;
IntrusiveRefCounts::RefCountPair const p =
self.refCounts_.fetch_or(IntrusiveRefCounts::kPartialDestroyFinishedMask);
self.refCounts_.fetch_or(IntrusiveRefCounts::kPARTIAL_DESTROY_FINISHED_MASK);
XRPL_ASSERT(
(!p.partialDestroyFinishedBit && p.partialDestroyStartedBit && !p.strong),
"xrpl::partialDestructorFinished : not a weak ref");

View File

@@ -55,8 +55,8 @@ template <class = void>
boost::thread_specific_ptr<detail::LocalValues>&
getLocalValues()
{
static boost::thread_specific_ptr<detail::LocalValues> kTsp(&detail::LocalValues::cleanup);
return kTsp;
static boost::thread_specific_ptr<detail::LocalValues> kTSP(&detail::LocalValues::cleanup);
return kTSP;
}
} // namespace detail

View File

@@ -10,11 +10,24 @@
#include <map>
#include <memory>
#include <mutex>
#include <optional>
#include <utility>
namespace xrpl {
// DEPRECATED use beast::severities::Severity instead
// NOLINTNEXTLINE(cppcoreguidelines-use-enum-class)
enum LogSeverity {
LSInvalid = -1, // used to indicate an invalid severity
LSTrace = 0, // Very low-level progress information, details inside
// an operation
LSDebug = 1, // Function-level progress information, operations
LSInfo = 2, // Server-level progress information, major operations
LSWarning = 3, // Conditions that warrant human attention, may indicate
// a problem
LSError = 4, // A condition that indicates a problem
LSFatal = 5 // A severe condition that indicates a server problem
};
/** Manages partitions for logging. */
class Logs
{
@@ -26,17 +39,17 @@ private:
std::string partition_;
public:
Sink(std::string partition, beast::Severity thresh, Logs& logs);
Sink(std::string partition, beast::severities::Severity thresh, Logs& logs);
Sink(Sink const&) = delete;
Sink&
operator=(Sink const&) = delete;
void
write(beast::Severity level, std::string const& text) override;
write(beast::severities::Severity level, std::string const& text) override;
void
writeAlways(beast::Severity level, std::string const& text) override;
writeAlways(beast::severities::Severity level, std::string const& text) override;
};
/** Manages a system file containing logged output.
@@ -123,12 +136,12 @@ private:
std::mutex mutable mutex_;
std::map<std::string, std::unique_ptr<beast::Journal::Sink>, boost::beast::iless> sinks_;
beast::Severity thresh_;
beast::severities::Severity thresh_;
File file_;
bool silent_ = false;
public:
Logs(beast::Severity level);
Logs(beast::severities::Severity level);
Logs(Logs const&) = delete;
Logs&
@@ -148,18 +161,18 @@ public:
beast::Journal
journal(std::string const& name);
beast::Severity
beast::severities::Severity
threshold() const;
void
threshold(beast::Severity thresh);
threshold(beast::severities::Severity thresh);
std::vector<std::pair<std::string, std::string>>
partitionSeverities() const;
void
write(
beast::Severity level,
beast::severities::Severity level,
std::string const& partition,
std::string const& text,
bool console);
@@ -179,25 +192,36 @@ public:
}
virtual std::unique_ptr<beast::Journal::Sink>
makeSink(std::string const& partition, beast::Severity startingLevel);
makeSink(std::string const& partition, beast::severities::Severity startingLevel);
public:
static std::string
toString(beast::Severity s);
static LogSeverity
fromSeverity(beast::severities::Severity level);
static std::optional<beast::Severity>
static beast::severities::Severity
toSeverity(LogSeverity level);
static std::string
toString(LogSeverity s);
static LogSeverity
fromString(std::string const& s);
private:
// Maximum line length for log messages.
// If the message exceeds this length it will be truncated with ellipses.
static constexpr auto kMaximumMessageCharacters = 12 * 1024;
// Need to be named before converting
// NOLINTNEXTLINE(cppcoreguidelines-use-enum-class)
enum {
// Maximum line length for log messages.
// If the message exceeds this length it will be truncated with
// ellipses.
MaximumMessageCharacters = 12 * 1024
};
static void
format(
std::string& output,
std::string const& message,
beast::Severity severity,
beast::severities::Severity severity,
std::string const& partition);
};

View File

@@ -2,16 +2,12 @@
#include <xrpl/beast/utility/instrumentation.h>
#include <array>
#include <cstdint>
#include <functional>
#include <limits>
#include <optional>
#include <ostream>
#include <set>
#include <stdexcept>
#include <string>
#include <unordered_map>
namespace xrpl {
@@ -42,58 +38,17 @@ isPowerOfTen(T value)
return logTen(value).has_value();
}
namespace detail {
/** Builds a table of the powers of 10
*
* This function is marked consteval, so it can only be run in
* a constexpr context. This assures that it is and can only be run at
* compile time. Doing it at runtime would be pretty wasteful and
* inefficient.
*/
constexpr std::size_t kInt64Digits = 20;
consteval std::array<std::uint64_t, kInt64Digits>
buildPowersOfTen()
{
std::array<std::uint64_t, kInt64Digits> result{};
std::uint64_t power = 1;
std::size_t exponent = 0;
// end the loop early so it doesn't overflow;
for (; exponent < result.size() - 1; ++exponent, power *= 10)
{
result[exponent] = power;
if (power > std::numeric_limits<std::uint64_t>::max() / 10)
throw std::logic_error("Power of 10 table is too big");
}
result[exponent] = power;
if (power < std::numeric_limits<std::uint64_t>::max() / 10)
throw std::logic_error("Power of 10 table is not big enough for the uint64_t type");
return result;
}
} // namespace detail
constexpr std::array<std::uint64_t, detail::kInt64Digits> kPowerOfTen = detail::buildPowersOfTen();
static_assert(kPowerOfTen[0] == 1);
static_assert(kPowerOfTen[1] == 10);
static_assert(kPowerOfTen[10] == 10'000'000'000);
static_assert(
isPowerOfTen(kPowerOfTen.back()) && *logTen(kPowerOfTen.back()) == detail::kInt64Digits - 1);
/** MantissaRange defines a range for the mantissa of a normalized Number.
*
* The mantissa is in the range [min, max], where
* * min is a power of 10, and
* * max = min * 10 - 1.
*
* The MantissaScale enum indicates properties of the range: size, and some behavioral
* options. This intentionally restricts the number of unique MantissaRanges that can
* be instantiated: one for each scale.
* The mantissa_scale enum indicates whether the range is "small" or "large".
* This intentionally restricts the number of MantissaRanges that can be
* instantiated to two: one for each scale.
*
* The "Small" scale is based on the behavior of STAmount for IOUs. It has a min
* The "small" scale is based on the behavior of STAmount for IOUs. It has a min
* value of 10^15, and a max value of 10^16-1. This was sufficient for
* uses before Lending Protocol was implemented, mostly related to AMM.
*
@@ -104,100 +59,46 @@ static_assert(
* STNumber field type, and for internal calculations. That necessitated the
* "large" scale.
*
* The "Large" scales are intended to represent all values that can be represented
* The "large" scale is intended to represent all values that can be represented
* by an STAmount - IOUs, XRP, and MPTs. It has a min value of 10^18, and a max
* value of 10^19-1. "LargeLegacy" is like "Large", but preserves
* a rounding error when a computation results in a mantissa of
* Number::kMaxRep that needs to be rounded up, but rounds down
* instead. It will maintain consistent behavior until the fixCleanup3_2_0
* amendment is enabled.
* value of 10^19-1.
*
* Note that if the mentioned amendments are eventually retired, this class
* should be left in place, but the "Small" scale option should be removed. This
* should be left in place, but the "small" scale option should be removed. This
* will allow for future expansion beyond 64-bits if it is ever needed.
*/
struct MantissaRange final
struct MantissaRange
{
using rep = std::uint64_t;
enum class MantissaScale { Small, Large };
enum class MantissaScale {
Small,
// LargeLegacy can be removed when fixCleanup3_2_0 is retired
LargeLegacy,
Large,
};
// This entire enum can be removed when fixCleanup3_2_0 is retired
enum class CuspRoundingFix : bool {
Disabled = false,
Enabled = true,
};
explicit constexpr MantissaRange(MantissaScale sc) : scale(sc)
explicit constexpr MantissaRange(MantissaScale scale)
: min(getMin(scale)), log(logTen(min).value_or(-1)), scale(scale)
{
}
MantissaScale const scale;
int const log{getExponent(scale)};
rep const min{getMin(scale, log)};
rep const max{(min * 10) - 1};
CuspRoundingFix const cuspRoundingFixEnabled{isCuspFixEnabled(scale)};
static MantissaRange const&
getMantissaRange(MantissaScale scale);
static std::set<MantissaScale> const&
getAllScales();
rep min;
rep max{(min * 10) - 1};
int log;
MantissaScale scale;
private:
static constexpr int
getExponent(MantissaScale scale)
static constexpr rep
getMin(MantissaScale scale)
{
switch (scale)
{
case MantissaScale::Small:
return 15;
case MantissaScale::LargeLegacy:
return 1'000'000'000'000'000ULL;
case MantissaScale::Large:
return 18;
// LCOV_EXCL_START
return 1'000'000'000'000'000'000ULL;
default:
// If called in a constexpr context, this throw assures that the build fails if an
// Since this can never be called outside a non-constexpr
// context, this throw assures that the build fails if an
// invalid scale is used.
throw std::runtime_error("Unknown mantissa scale");
// LCOV_EXCL_STOP
}
}
// Keep this function for future use with different ways to compute
// the ranges.
static constexpr rep
getMin(MantissaScale scale, int exponent)
{
if (exponent < 0 || exponent >= kPowerOfTen.size())
throw std::runtime_error("Invalid exponent"); // LCOV_EXCL_LINE
return kPowerOfTen[exponent];
}
static constexpr CuspRoundingFix
isCuspFixEnabled(MantissaScale scale)
{
switch (scale)
{
case MantissaScale::Small:
case MantissaScale::LargeLegacy:
return CuspRoundingFix::Disabled;
case MantissaScale::Large:
return CuspRoundingFix::Enabled;
default:
// If called in a constexpr context, this throw assures that the build fails if an
// invalid scale is used.
throw std::runtime_error("Unknown mantissa scale"); // LCOV_EXCL_LINE
}
}
static std::unordered_map<MantissaScale, MantissaRange> const&
getRanges();
};
// Like std::integral, but only 64-bit integral types.
@@ -302,7 +203,7 @@ concept Integral64 = std::is_same_v<T, std::int64_t> || std::is_same_v<T, std::u
* amendments are enabled to determine which result to expect.
*
*/
class Number final
class Number
{
using rep = std::int64_t;
using internalrep = MantissaRange::rep;
@@ -313,12 +214,12 @@ class Number final
public:
// The range for the exponent when normalized
static constexpr int kMinExponent = -32768;
static constexpr int kMaxExponent = 32768;
constexpr static int kMIN_EXPONENT = -32768;
constexpr static int kMAX_EXPONENT = 32768;
static constexpr internalrep kMaxRep = std::numeric_limits<rep>::max();
static_assert(kMaxRep == 9'223'372'036'854'775'807);
static_assert(-kMaxRep == std::numeric_limits<rep>::min() + 1);
constexpr static internalrep kMAX_REP = std::numeric_limits<rep>::max();
static_assert(kMAX_REP == 9'223'372'036'854'775'807);
static_assert(-kMAX_REP == std::numeric_limits<rep>::min() + 1);
// May need to make unchecked private
struct Unchecked
@@ -508,48 +409,69 @@ public:
static internalrep
minMantissa()
{
return kRange.get().min;
return kRANGE.get().min;
}
static internalrep
maxMantissa()
{
return kRange.get().max;
return kRANGE.get().max;
}
static int
mantissaLog()
{
return kRange.get().log;
return kRANGE.get().log;
}
/// oneSmall is needed because the ranges are private
constexpr static Number
oneSmall();
/// oneLarge is needed because the ranges are private
constexpr static Number
oneLarge();
// And one is needed because it needs to choose between oneSmall and
// oneLarge based on the current range
static Number
one();
template <
auto MinMantissa,
auto MaxMantissa,
Integral64 T = std::decay_t<decltype(MinMantissa)>>
template <Integral64 T>
[[nodiscard]]
std::pair<T, int>
normalizeToRange() const;
normalizeToRange(T minMantissa, T maxMantissa) const;
private:
static thread_local RoundingMode mode;
// The available ranges for mantissa
constexpr static MantissaRange kSMALL_RANGE{MantissaRange::MantissaScale::Small};
static_assert(isPowerOfTen(kSMALL_RANGE.min));
static_assert(kSMALL_RANGE.min == 1'000'000'000'000'000LL);
static_assert(kSMALL_RANGE.max == 9'999'999'999'999'999LL);
static_assert(kSMALL_RANGE.log == 15);
static_assert(kSMALL_RANGE.min < kMAX_REP);
static_assert(kSMALL_RANGE.max < kMAX_REP);
constexpr static MantissaRange kLARGE_RANGE{MantissaRange::MantissaScale::Large};
static_assert(isPowerOfTen(kLARGE_RANGE.min));
static_assert(kLARGE_RANGE.min == 1'000'000'000'000'000'000ULL);
static_assert(kLARGE_RANGE.max == internalrep(9'999'999'999'999'999'999ULL));
static_assert(kLARGE_RANGE.log == 18);
static_assert(kLARGE_RANGE.min < kMAX_REP);
static_assert(kLARGE_RANGE.max > kMAX_REP);
// The range for the mantissa when normalized.
// Use reference_wrapper to avoid making copies, and prevent accidentally
// changing the values inside the range.
static thread_local std::reference_wrapper<MantissaRange const> kRange;
static thread_local std::reference_wrapper<MantissaRange const> kRANGE;
void
normalize(MantissaRange const& range);
normalize();
/** Normalize Number components to an arbitrary range.
*
* min/maxMantissa are parameters because this function is used by both
* normalize(), which reads from kRange, and by normalizeToRange,
* normalize(), which reads from kRANGE, and by normalizeToRange,
* which is public and can accept an arbitrary range from the caller.
*/
template <class T>
@@ -559,8 +481,7 @@ private:
T& mantissa,
int& exponent,
internalrep const& minMantissa,
internalrep const& maxMantissa,
MantissaRange::CuspRoundingFix cuspRoundingFixEnabled);
internalrep const& maxMantissa);
template <class T>
friend void
@@ -569,9 +490,7 @@ private:
T& mantissa,
int& exponent,
MantissaRange::rep const& minMantissa,
MantissaRange::rep const& maxMantissa,
MantissaRange::CuspRoundingFix cuspRoundingFixEnabled,
bool dropped);
MantissaRange::rep const& maxMantissa);
[[nodiscard]] bool
isnormal() const noexcept;
@@ -602,12 +521,12 @@ constexpr Number::Number(internalrep mantissa, int exponent, Unchecked) noexcept
{
}
static constexpr Number kNumZero{};
constexpr static Number kNUM_ZERO{};
inline Number::Number(bool negative, internalrep mantissa, int exponent, Normalized)
: Number(negative, mantissa, exponent, Unchecked{})
{
normalize(kRange);
normalize();
}
inline Number::Number(internalrep mantissa, int exponent, Normalized)
@@ -633,10 +552,10 @@ constexpr Number::rep
Number::mantissa() const noexcept
{
auto m = mantissa_;
if (m > kMaxRep)
if (m > kMAX_REP)
{
XRPL_ASSERT_PARTS(
!isnormal() || (m % 10 == 0 && m / 10 <= kMaxRep),
!isnormal() || (m % 10 == 0 && m / 10 <= kMAX_REP),
"xrpl::Number::mantissa",
"large normalized mantissa has no remainder");
m /= 10;
@@ -654,10 +573,10 @@ constexpr int
Number::exponent() const noexcept
{
auto e = exponent_;
if (mantissa_ > kMaxRep)
if (mantissa_ > kMAX_REP)
{
XRPL_ASSERT_PARTS(
!isnormal() || (mantissa_ % 10 == 0 && mantissa_ / 10 <= kMaxRep),
!isnormal() || (mantissa_ % 10 == 0 && mantissa_ / 10 <= kMAX_REP),
"xrpl::Number::exponent",
"large normalized mantissa has no remainder");
++e;
@@ -752,46 +671,35 @@ operator/(Number const& x, Number const& y)
inline Number
Number::min() noexcept
{
return Number{false, kRange.get().min, kMinExponent, Unchecked{}};
return Number{false, kRANGE.get().min, kMIN_EXPONENT, Unchecked{}};
}
inline Number
Number::max() noexcept
{
return Number{false, std::min(kRange.get().max, kMaxRep), kMaxExponent, Unchecked{}};
return Number{false, std::min(kRANGE.get().max, kMAX_REP), kMAX_EXPONENT, Unchecked{}};
}
inline Number
Number::lowest() noexcept
{
return Number{true, std::min(kRange.get().max, kMaxRep), kMaxExponent, Unchecked{}};
return Number{true, std::min(kRANGE.get().max, kMAX_REP), kMAX_EXPONENT, Unchecked{}};
}
inline bool
Number::isnormal() const noexcept
{
MantissaRange const& range = kRange;
MantissaRange const& range = kRANGE;
auto const absM = mantissa_;
return *this == Number{} ||
(range.min <= absM && absM <= range.max && (absM <= kMaxRep || absM % 10 == 0) &&
kMinExponent <= exponent_ && exponent_ <= kMaxExponent);
(range.min <= absM && absM <= range.max && (absM <= kMAX_REP || absM % 10 == 0) &&
kMIN_EXPONENT <= exponent_ && exponent_ <= kMAX_EXPONENT);
}
template <auto MinMantissa, auto MaxMantissa, Integral64 T>
template <Integral64 T>
std::pair<T, int>
Number::normalizeToRange() const
Number::normalizeToRange(T minMantissa, T maxMantissa) const
{
static_assert(std::is_same_v<T, std::uint64_t> || std::is_same_v<T, std::int64_t>);
static_assert(std::is_same_v<T, std::decay_t<decltype(MinMantissa)>>);
static_assert(std::is_same_v<T, std::decay_t<decltype(MaxMantissa)>>);
auto constexpr kMIN = static_cast<T>(MinMantissa);
auto constexpr kMAX = static_cast<T>(MaxMantissa);
static_assert(kMIN > 0);
static_assert(kMIN % 10 == 0);
static_assert(isPowerOfTen(kMIN));
static_assert(kMAX % 10 == 9);
static_assert((kMAX + 1) / 10 == kMIN);
bool negative = negative_;
internalrep mantissa = mantissa_;
int exponent = exponent_;
@@ -803,10 +711,7 @@ Number::normalizeToRange() const
"xrpl::Number::normalizeToRange",
"Number is non-negative for unsigned range.");
}
// Don't need to worry about the cuspRounding fix because rounding up will never take the
// mantissa over maxMantissa with a ones digit value other than 0. 0 can safely be truncated.
Number::normalize(
negative, mantissa, exponent, kMIN, kMAX, MantissaRange::CuspRoundingFix::Disabled);
Number::normalize(negative, mantissa, exponent, minMantissa, maxMantissa);
auto const sign = negative ? -1 : 1;
return std::make_pair(static_cast<T>(sign * mantissa), exponent);
@@ -858,8 +763,6 @@ to_string(MantissaRange::MantissaScale const& scale)
{
case MantissaRange::MantissaScale::Small:
return "small";
case MantissaRange::MantissaScale::LargeLegacy:
return "largeLegacy";
case MantissaRange::MantissaScale::Large:
return "large";
default:

View File

@@ -21,12 +21,12 @@ public:
}
[[nodiscard]] uint256 const&
asUInt256() const
asUint256() const
{
return hash_;
}
uint256&
asUInt256()
asUint256()
{
return hash_;
}
@@ -93,7 +93,7 @@ template <>
inline std::size_t
extract(SHAMapHash const& key)
{
return *reinterpret_cast<std::size_t const*>(key.asUInt256().data());
return *reinterpret_cast<std::size_t const*>(key.asUint256().data());
}
} // namespace xrpl

View File

@@ -57,10 +57,10 @@ template <class T>
std::shared_ptr<T> const&
SharedWeakCachePointer<T>::getStrong() const
{
static std::shared_ptr<T> const kEmpty;
static std::shared_ptr<T> const kEMPTY;
if (auto p = std::get_if<std::shared_ptr<T>>(&combo_))
return *p;
return kEmpty;
return kEMPTY;
}
template <class T>

View File

@@ -7,11 +7,9 @@
#include <boost/utility/string_view.hpp>
#include <array>
#include <concepts>
#include <cstdint>
#include <optional>
#include <string>
#include <type_traits>
namespace xrpl {
@@ -28,39 +26,28 @@ namespace xrpl {
std::string
sqlBlobLiteral(Blob const& blob);
namespace detail {
template <typename T>
concept SomeChar = std::same_as<std::remove_cvref_t<T>, int8_t> ||
std::same_as<std::remove_cvref_t<T>, char> || std::same_as<std::remove_cvref_t<T>, uint8_t>;
inline constexpr std::array<std::optional<int>, 256> const kDigitLookupTable = []() {
std::array<std::optional<int>, 256> t{};
for (int i = 0; i < 10; ++i)
t['0' + i] = i;
for (int i = 0; i < 6; ++i)
{
t['A' + i] = 10 + i;
t['a' + i] = 10 + i;
}
return t;
}();
inline std::optional<int>
hexCharToInt(SomeChar auto hexChar)
{
return kDigitLookupTable[static_cast<uint8_t>(hexChar)];
}
} // namespace detail
template <class Iterator>
std::optional<Blob>
strUnHex(std::size_t strSize, Iterator begin, Iterator end)
{
static constexpr std::array<int, 256> const kDIGIT_LOOKUP_TABLE = []() {
std::array<int, 256> t{};
for (auto& x : t)
x = -1;
for (int i = 0; i < 10; ++i)
t['0' + i] = i;
for (int i = 0; i < 6; ++i)
{
t['A' + i] = 10 + i;
t['a' + i] = 10 + i;
}
return t;
}();
Blob out;
out.reserve((strSize + 1) / 2);
@@ -69,26 +56,27 @@ strUnHex(std::size_t strSize, Iterator begin, Iterator end)
if (strSize & 1)
{
auto const c = detail::hexCharToInt(*iter++);
if (!c.has_value())
int c = kDIGIT_LOOKUP_TABLE[*iter++];
if (c < 0)
return {};
out.push_back(static_cast<unsigned char>(*c));
out.push_back(c);
}
while (iter != end)
{
auto const cHigh = detail::hexCharToInt(*iter++);
int const cHigh = kDIGIT_LOOKUP_TABLE[*iter++];
if (!cHigh.has_value())
if (cHigh < 0)
return {};
auto const cLow = detail::hexCharToInt(*iter++);
int const cLow = kDIGIT_LOOKUP_TABLE[*iter++];
if (!cLow.has_value())
if (cLow < 0)
return {};
out.push_back(static_cast<unsigned char>((*cHigh << 4) | *cLow));
out.push_back(static_cast<unsigned char>((cHigh << 4) | cLow));
}
return {std::move(out)};
@@ -132,7 +120,7 @@ std::string
trimWhitespace(std::string str);
std::optional<std::uint64_t>
toUInt64(std::string const& s);
toUint64(std::string const& s);
/** Determines if the given string looks like a TOML-file hosting domain.

View File

@@ -181,14 +181,14 @@ private:
beast::insight::Collector::ptr const& collector)
: hook(collector->makeHook(handler))
, size(collector->makeGauge(prefix, "size"))
, hitRate(collector->makeGauge(prefix, "hit_rate"))
, hit_rate(collector->makeGauge(prefix, "hit_rate"))
{
}
beast::insight::Hook hook;
beast::insight::Gauge size;
beast::insight::Gauge hitRate;
beast::insight::Gauge hit_rate;
std::size_t hits{0};
std::size_t misses{0};
@@ -197,16 +197,16 @@ private:
class KeyOnlyEntry
{
public:
clock_type::time_point lastAccess;
clock_type::time_point last_access;
explicit KeyOnlyEntry(clock_type::time_point const& lastAccess) : lastAccess(lastAccess)
explicit KeyOnlyEntry(clock_type::time_point const& lastAccess) : last_access(lastAccess)
{
}
void
touch(clock_type::time_point const& now)
{
lastAccess = now;
last_access = now;
}
};
@@ -214,10 +214,10 @@ private:
{
public:
shared_weak_combo_pointer_type ptr;
clock_type::time_point lastAccess;
clock_type::time_point last_access;
ValueEntry(clock_type::time_point const& lastAccess, shared_pointer_type const& ptr)
: ptr(ptr), lastAccess(lastAccess)
: ptr(ptr), last_access(lastAccess)
{
}
@@ -246,7 +246,7 @@ private:
void
touch(clock_type::time_point const& now)
{
lastAccess = now;
last_access = now;
}
};
@@ -286,13 +286,13 @@ private:
std::string name_;
// Desired number of cache entries (0 = ignore)
int const targetSize_;
int const target_size_;
// Desired maximum cache age
clock_type::duration const targetAge_;
clock_type::duration const target_age_;
// Number of items cached
int cacheCount_{0};
int cache_count_{0};
cache_type cache_; // Hold strong reference to recent objects
std::uint64_t hits_{0};
std::uint64_t misses_{0};

View File

@@ -34,8 +34,8 @@ inline TaggedCache<
, clock_(clock)
, stats_(name, std::bind(&TaggedCache::collectMetrics, this), collector)
, name_(name)
, targetSize_(size)
, targetAge_(expiration)
, target_size_(size)
, target_age_(expiration)
{
}
@@ -86,7 +86,7 @@ TaggedCache<Key, T, IsKeyCache, SharedWeakUnionPointer, SharedPointerType, Hash,
getCacheSize() const
{
std::scoped_lock const lock(mutex_);
return cacheCount_;
return cache_count_;
}
template <
@@ -139,7 +139,7 @@ TaggedCache<Key, T, IsKeyCache, SharedWeakUnionPointer, SharedPointerType, Hash,
{
std::scoped_lock const lock(mutex_);
cache_.clear();
cacheCount_ = 0;
cache_count_ = 0;
}
template <
@@ -157,7 +157,7 @@ TaggedCache<Key, T, IsKeyCache, SharedWeakUnionPointer, SharedPointerType, Hash,
{
std::scoped_lock const lock(mutex_);
cache_.clear();
cacheCount_ = 0;
cache_count_ = 0;
hits_ = 0;
misses_ = 0;
}
@@ -213,21 +213,21 @@ TaggedCache<Key, T, IsKeyCache, SharedWeakUnionPointer, SharedPointerType, Hash,
{
std::scoped_lock const lock(mutex_);
if (targetSize_ == 0 || (static_cast<int>(cache_.size()) <= targetSize_))
if (target_size_ == 0 || (static_cast<int>(cache_.size()) <= target_size_))
{
whenExpire = now - targetAge_;
whenExpire = now - target_age_;
}
else
{
whenExpire = now - (targetAge_ * targetSize_ / cache_.size());
whenExpire = now - (target_age_ * target_size_ / cache_.size());
clock_type::duration const minimumAge(std::chrono::seconds(1));
if (whenExpire > (now - minimumAge))
whenExpire = now - minimumAge;
JLOG(journal_.trace())
<< name_ << " is growing fast " << cache_.size() << " of " << targetSize_
<< " aging at " << (now - whenExpire).count() << " of " << targetAge_.count();
<< name_ << " is growing fast " << cache_.size() << " of " << target_size_
<< " aging at " << (now - whenExpire).count() << " of " << target_age_.count();
}
std::vector<std::thread> workers;
@@ -242,7 +242,7 @@ TaggedCache<Key, T, IsKeyCache, SharedWeakUnionPointer, SharedPointerType, Hash,
for (std::thread& worker : workers)
worker.join();
cacheCount_ -= allRemovals;
cache_count_ -= allRemovals;
}
// At this point allStuffToSweep will go out of scope outside the lock
// and decrement the reference count on each strong pointer.
@@ -280,7 +280,7 @@ TaggedCache<Key, T, IsKeyCache, SharedWeakUnionPointer, SharedPointerType, Hash,
if (entry.isCached())
{
--cacheCount_;
--cache_count_;
entry.ptr.convertToWeak();
ret = true;
}
@@ -317,7 +317,7 @@ TaggedCache<Key, T, IsKeyCache, SharedWeakUnionPointer, SharedPointerType, Hash,
std::piecewise_construct,
std::forward_as_tuple(key),
std::forward_as_tuple(clock_.now(), data));
++cacheCount_;
++cache_count_;
return false;
}
@@ -366,12 +366,12 @@ TaggedCache<Key, T, IsKeyCache, SharedWeakUnionPointer, SharedPointerType, Hash,
data = cachedData;
}
++cacheCount_;
++cache_count_;
return true;
}
entry.ptr = data;
++cacheCount_;
++cache_count_;
return false;
}
@@ -477,7 +477,7 @@ TaggedCache<Key, T, IsKeyCache, SharedWeakUnionPointer, SharedPointerType, Hash,
auto [it, inserted] = cache_.emplace(
std::piecewise_construct, std::forward_as_tuple(key), std::forward_as_tuple(now));
if (!inserted)
it->second.lastAccess = now;
it->second.last_access = now;
return inserted;
}
@@ -626,7 +626,7 @@ TaggedCache<Key, T, IsKeyCache, SharedWeakUnionPointer, SharedPointerType, Hash,
if (entry.isCached())
{
// independent of cache size, so not counted as a hit
++cacheCount_;
++cache_count_;
entry.touch(clock_.now());
return entry.ptr.getStrong();
}
@@ -658,7 +658,7 @@ TaggedCache<Key, T, IsKeyCache, SharedWeakUnionPointer, SharedPointerType, Hash,
if (total != 0)
hitRate = (hits_ * 100) / total;
}
stats_.hitRate.set(hitRate);
stats_.hit_rate.set(hitRate);
}
}
@@ -706,7 +706,7 @@ TaggedCache<Key, T, IsKeyCache, SharedWeakUnionPointer, SharedPointerType, Hash,
++cit;
}
}
else if (cit->second.lastAccess <= whenExpire)
else if (cit->second.last_access <= whenExpire)
{
// strong, expired
++cacheRemovals;
@@ -773,12 +773,12 @@ TaggedCache<Key, T, IsKeyCache, SharedWeakUnionPointer, SharedPointerType, Hash,
auto cit = partition.begin();
while (cit != partition.end())
{
if (cit->second.lastAccess > now)
if (cit->second.last_access > now)
{
cit->second.lastAccess = now;
cit->second.last_access = now;
++cit;
}
else if (cit->second.lastAccess <= whenExpire)
else if (cit->second.last_access <= whenExpire)
{
cit = partition.erase(cit);
}

View File

@@ -30,8 +30,8 @@ public:
now(); // seconds since xrpld program start
private:
static std::atomic<rep> kNow;
static std::atomic<bool> kStop;
static std::atomic<rep> kNOW;
static std::atomic<bool> kSTOP;
struct UpdateThread : private std::thread
{

View File

@@ -46,11 +46,6 @@ struct IsContiguousContainer<Slice> : std::true_type
{
};
template <typename...>
struct AlwaysFalseT : std::bool_constant<false>
{
};
} // namespace detail
/** Integers of any length that is a multiple of 32-bits
@@ -67,18 +62,18 @@ struct AlwaysFalseT : std::bool_constant<false>
number of bits.
*/
template <std::size_t Bits, class Tag = void>
class BaseUInt
class BaseUint
{
static_assert((Bits % 32) == 0, "The length of a base_uint in bits must be a multiple of 32.");
static_assert(Bits >= 64, "The length of a base_uint in bits must be at least 64.");
static constexpr std::size_t kWidth = Bits / 32;
static constexpr std::size_t kWIDTH = Bits / 32;
// This is really big-endian in byte order.
// We sometimes use std::uint32_t for speed.
std::array<std::uint32_t, kWidth> data_;
std::array<std::uint32_t, kWIDTH> data_;
public:
//--------------------------------------------------------------------------
@@ -86,8 +81,8 @@ public:
// STL Container Interface
//
static constexpr std::size_t kBytes = Bits / 8;
static_assert(sizeof(data_) == kBytes, "");
static std::size_t constexpr kBYTES = Bits / 8;
static_assert(sizeof(data_) == kBYTES, "");
using size_type = std::size_t;
using difference_type = std::ptrdiff_t;
@@ -121,7 +116,7 @@ public:
iterator
end()
{
return data() + kBytes;
return data() + kBYTES;
}
[[nodiscard]] const_iterator
begin() const
@@ -131,7 +126,7 @@ public:
[[nodiscard]] const_iterator
end() const
{
return data() + kBytes;
return data() + kBYTES;
}
[[nodiscard]] const_iterator
cbegin() const
@@ -141,7 +136,7 @@ public:
[[nodiscard]] const_iterator
cend() const
{
return data() + kBytes;
return data() + kBYTES;
}
/** Value hashing function.
@@ -165,9 +160,9 @@ private:
explicit VoidHelper() = default;
};
explicit BaseUInt(void const* data, VoidHelper)
explicit BaseUint(void const* data, VoidHelper)
{
memcpy(data_.data(), data, kBytes);
memcpy(data_.data(), data, kBYTES);
}
// Helper function to initialize a base_uint from a std::string_view.
@@ -249,15 +244,15 @@ private:
}
public:
constexpr BaseUInt() : data_{}
constexpr BaseUint() : data_{}
{
}
constexpr BaseUInt(beast::Zero) : data_{}
constexpr BaseUint(beast::Zero) : data_{}
{
}
explicit BaseUInt(std::uint64_t b)
explicit BaseUint(std::uint64_t b)
{
*this = b;
}
@@ -265,7 +260,7 @@ public:
// This constructor is intended to be used at compile time since it might
// throw at runtime. Consider declaring this constructor consteval once
// we get to C++23.
explicit constexpr BaseUInt(std::string_view sv) noexcept(false)
explicit constexpr BaseUint(std::string_view sv) noexcept(false)
: data_(parseFromStringViewThrows(sv))
{
}
@@ -275,42 +270,24 @@ public:
class = std::enable_if_t<
detail::IsContiguousContainer<Container>::value &&
std::is_trivially_copyable_v<typename Container::value_type>>>
explicit BaseUInt(Container const& c)
explicit BaseUint(Container const& c)
{
// Use AlwaysFalseT so the static_assert condition is dependent
// and only triggers when this constructor template is instantiated.
static_assert(
detail::AlwaysFalseT<Container>::value,
"This constructor is not intended to be used and will be soon removed. "
"Use base_uint::fromRaw instead.");
}
template <
class Container,
class = std::enable_if_t<
detail::IsContiguousContainer<Container>::value &&
std::is_trivially_copyable_v<typename Container::value_type>>>
static BaseUInt
fromRaw(Container const& c)
{
BaseUInt result;
XRPL_ASSERT(
c.size() * sizeof(typename Container::value_type) == size(),
"xrpl::BaseUInt::fromRaw(Container auto) : input size match");
std::memcpy(result.data_.data(), c.data(), size());
return result;
"xrpl::base_uint::base_uint(Container auto) : input size match");
std::memcpy(data_.data(), c.data(), size());
}
template <class Container>
std::enable_if_t<
detail::IsContiguousContainer<Container>::value &&
std::is_trivially_copyable_v<typename Container::value_type>,
BaseUInt&>
BaseUint&>
operator=(Container const& c)
{
XRPL_ASSERT(
c.size() * sizeof(typename Container::value_type) == size(),
"xrpl::BaseUInt::operator=(Container auto) : input size match");
"xrpl::base_uint::operator=(Container auto) : input size match");
std::memcpy(data_.data(), c.data(), size());
return *this;
}
@@ -318,14 +295,14 @@ public:
/* Construct from a raw pointer.
The buffer pointed to by `data` must be at least Bits/8 bytes.
*/
static BaseUInt
static BaseUint
fromVoid(void const* data)
{
return BaseUInt(data, VoidHelper());
return BaseUint(data, VoidHelper());
}
template <class T>
static std::optional<BaseUInt>
static std::optional<BaseUint>
fromVoidChecked(T const& from)
{
if (from.size() != size())
@@ -336,7 +313,7 @@ public:
[[nodiscard]] constexpr int
signum() const
{
for (int i = 0; i < kWidth; i++)
for (int i = 0; i < kWIDTH; i++)
{
if (data_[i] != 0)
return 1;
@@ -348,24 +325,24 @@ public:
bool
operator!() const
{
return *this == beast::kZero;
return *this == beast::kZERO;
}
constexpr BaseUInt
constexpr BaseUint
operator~() const
{
BaseUInt ret;
BaseUint ret;
for (int i = 0; i < kWidth; i++)
for (int i = 0; i < kWIDTH; i++)
ret.data_[i] = ~data_[i];
return ret;
}
BaseUInt&
BaseUint&
operator=(std::uint64_t uHost)
{
*this = beast::kZero;
*this = beast::kZERO;
// NOLINTBEGIN(cppcoreguidelines-pro-type-member-init)
union
{
@@ -375,43 +352,43 @@ public:
// NOLINTEND(cppcoreguidelines-pro-type-member-init)
// Put in least significant bits.
ul = boost::endian::native_to_big(uHost);
data_[kWidth - 2] = u[0];
data_[kWidth - 1] = u[1];
data_[kWIDTH - 2] = u[0];
data_[kWIDTH - 1] = u[1];
return *this;
}
BaseUInt&
operator^=(BaseUInt const& b)
BaseUint&
operator^=(BaseUint const& b)
{
for (int i = 0; i < kWidth; i++)
for (int i = 0; i < kWIDTH; i++)
data_[i] ^= b.data_[i];
return *this;
}
BaseUInt&
operator&=(BaseUInt const& b)
BaseUint&
operator&=(BaseUint const& b)
{
for (int i = 0; i < kWidth; i++)
for (int i = 0; i < kWIDTH; i++)
data_[i] &= b.data_[i];
return *this;
}
BaseUInt&
operator|=(BaseUInt const& b)
BaseUint&
operator|=(BaseUint const& b)
{
for (int i = 0; i < kWidth; i++)
for (int i = 0; i < kWIDTH; i++)
data_[i] |= b.data_[i];
return *this;
}
BaseUInt&
BaseUint&
operator++()
{
// prefix operator
for (int i = kWidth - 1; i >= 0; --i)
for (int i = kWIDTH - 1; i >= 0; --i)
{
data_[i] = boost::endian::native_to_big(boost::endian::big_to_native(data_[i]) + 1);
if (data_[i] != 0)
@@ -421,20 +398,20 @@ public:
return *this;
}
BaseUInt
BaseUint
operator++(int)
{
// postfix operator
BaseUInt const ret = *this;
BaseUint const ret = *this;
++(*this);
return ret;
}
BaseUInt&
BaseUint&
operator--()
{
for (int i = kWidth - 1; i >= 0; --i)
for (int i = kWIDTH - 1; i >= 0; --i)
{
auto prev = data_[i];
data_[i] = boost::endian::native_to_big(boost::endian::big_to_native(data_[i]) - 1);
@@ -446,36 +423,36 @@ public:
return *this;
}
BaseUInt
BaseUint
operator--(int)
{
// postfix operator
BaseUInt const ret = *this;
BaseUint const ret = *this;
--(*this);
return ret;
}
[[nodiscard]] BaseUInt
[[nodiscard]] BaseUint
next() const
{
auto ret = *this;
return ++ret;
}
[[nodiscard]] BaseUInt
[[nodiscard]] BaseUint
prev() const
{
auto ret = *this;
return --ret;
}
BaseUInt&
operator+=(BaseUInt const& b)
BaseUint&
operator+=(BaseUint const& b)
{
std::uint64_t carry = 0;
for (int i = kWidth - 1; i >= 0; i--)
for (int i = kWIDTH - 1; i >= 0; i--)
{
std::uint64_t const n = carry + boost::endian::big_to_native(data_[i]) +
boost::endian::big_to_native(b.data_[i]);
@@ -489,7 +466,7 @@ public:
template <class Hasher>
friend void
hash_append(Hasher& h, BaseUInt const& a) noexcept
hash_append(Hasher& h, BaseUint const& a) noexcept
{
// Do not allow any endian transformations on this memory
h(a.data_.data(), sizeof(a.data_));
@@ -526,13 +503,13 @@ public:
return parseHex(std::string_view{str});
}
static constexpr std::size_t
constexpr static std::size_t
size()
{
return kBytes;
return kBYTES;
}
BaseUInt<Bits, Tag>&
BaseUint<Bits, Tag>&
operator=(beast::Zero)
{
data_.fill(0);
@@ -543,28 +520,28 @@ public:
[[nodiscard]] bool
isZero() const
{
return *this == beast::kZero;
return *this == beast::kZERO;
}
[[nodiscard]] bool
isNonZero() const
{
return *this != beast::kZero;
return *this != beast::kZERO;
}
void
zero()
{
*this = beast::kZero;
*this = beast::kZERO;
}
};
using uint128 = BaseUInt<128>;
using uint160 = BaseUInt<160>;
using uint256 = BaseUInt<256>;
using uint192 = BaseUInt<192>;
using uint128 = BaseUint<128>;
using uint160 = BaseUint<160>;
using uint256 = BaseUint<256>;
using uint192 = BaseUint<192>;
template <std::size_t Bits, class Tag>
[[nodiscard]] constexpr std::strong_ordering
operator<=>(BaseUInt<Bits, Tag> const& lhs, BaseUInt<Bits, Tag> const& rhs)
operator<=>(BaseUint<Bits, Tag> const& lhs, BaseUint<Bits, Tag> const& rhs)
{
// This comparison might seem wrong on a casual inspection because it
// compares data internally stored as std::uint32_t byte-by-byte. But
@@ -585,7 +562,7 @@ operator<=>(BaseUInt<Bits, Tag> const& lhs, BaseUInt<Bits, Tag> const& rhs)
template <std::size_t Bits, typename Tag>
[[nodiscard]] constexpr bool
operator==(BaseUInt<Bits, Tag> const& lhs, BaseUInt<Bits, Tag> const& rhs)
operator==(BaseUint<Bits, Tag> const& lhs, BaseUint<Bits, Tag> const& rhs)
{
return (lhs <=> rhs) == 0;
}
@@ -593,59 +570,59 @@ operator==(BaseUInt<Bits, Tag> const& lhs, BaseUInt<Bits, Tag> const& rhs)
//------------------------------------------------------------------------------
template <std::size_t Bits, class Tag>
constexpr bool
operator==(BaseUInt<Bits, Tag> const& a, std::uint64_t b)
operator==(BaseUint<Bits, Tag> const& a, std::uint64_t b)
{
return a == BaseUInt<Bits, Tag>(b);
return a == BaseUint<Bits, Tag>(b);
}
//------------------------------------------------------------------------------
template <std::size_t Bits, class Tag>
constexpr BaseUInt<Bits, Tag>
operator^(BaseUInt<Bits, Tag> const& a, BaseUInt<Bits, Tag> const& b)
constexpr BaseUint<Bits, Tag>
operator^(BaseUint<Bits, Tag> const& a, BaseUint<Bits, Tag> const& b)
{
return BaseUInt<Bits, Tag>(a) ^= b;
return BaseUint<Bits, Tag>(a) ^= b;
}
template <std::size_t Bits, class Tag>
constexpr BaseUInt<Bits, Tag>
operator&(BaseUInt<Bits, Tag> const& a, BaseUInt<Bits, Tag> const& b)
constexpr BaseUint<Bits, Tag>
operator&(BaseUint<Bits, Tag> const& a, BaseUint<Bits, Tag> const& b)
{
return BaseUInt<Bits, Tag>(a) &= b;
return BaseUint<Bits, Tag>(a) &= b;
}
template <std::size_t Bits, class Tag>
constexpr BaseUInt<Bits, Tag>
operator|(BaseUInt<Bits, Tag> const& a, BaseUInt<Bits, Tag> const& b)
constexpr BaseUint<Bits, Tag>
operator|(BaseUint<Bits, Tag> const& a, BaseUint<Bits, Tag> const& b)
{
return BaseUInt<Bits, Tag>(a) |= b;
return BaseUint<Bits, Tag>(a) |= b;
}
template <std::size_t Bits, class Tag>
constexpr BaseUInt<Bits, Tag>
operator+(BaseUInt<Bits, Tag> const& a, BaseUInt<Bits, Tag> const& b)
constexpr BaseUint<Bits, Tag>
operator+(BaseUint<Bits, Tag> const& a, BaseUint<Bits, Tag> const& b)
{
return BaseUInt<Bits, Tag>(a) += b;
return BaseUint<Bits, Tag>(a) += b;
}
//------------------------------------------------------------------------------
template <std::size_t Bits, class Tag>
inline std::string
to_string(BaseUInt<Bits, Tag> const& a)
to_string(BaseUint<Bits, Tag> const& a)
{
return strHex(a.cbegin(), a.cend());
}
template <std::size_t Bits, class Tag>
inline std::string
toShortString(BaseUInt<Bits, Tag> const& a)
toShortString(BaseUint<Bits, Tag> const& a)
{
static_assert(BaseUInt<Bits, Tag>::kBytes > 4, "For 4 bytes or less, use a native type");
static_assert(BaseUint<Bits, Tag>::kBYTES > 4, "For 4 bytes or less, use a native type");
return strHex(a.cbegin(), a.cbegin() + 4) + "...";
}
template <std::size_t Bits, class Tag>
inline std::ostream&
operator<<(std::ostream& out, BaseUInt<Bits, Tag> const& u)
operator<<(std::ostream& out, BaseUint<Bits, Tag> const& u)
{
return out << to_string(u);
}
@@ -673,7 +650,7 @@ static_assert(sizeof(uint256) == 256 / 8, "There should be no padding bytes");
namespace beast {
template <std::size_t Bits, class Tag>
struct IsUniquelyRepresented<xrpl::BaseUInt<Bits, Tag>> : public std::true_type
struct IsUniquelyRepresented<xrpl::BaseUint<Bits, Tag>> : public std::true_type
{
explicit IsUniquelyRepresented() = default;
};

View File

@@ -30,10 +30,10 @@ using weeks = std::chrono::duration<int, std::ratio_multiply<days::period, std::
= seconds(946684800)
*/
static constexpr std::chrono::seconds kEpochOffset =
constexpr static std::chrono::seconds kEPOCH_OFFSET =
date::sys_days{date::year{2000} / 1 / 1} - date::sys_days{date::year{1970} / 1 / 1};
static_assert(kEpochOffset.count() == 946684800);
static_assert(kEPOCH_OFFSET.count() == 946684800);
class NetClock
{
@@ -60,7 +60,7 @@ to_string(NetClock::time_point tp)
{
// 2000-01-01 00:00:00 UTC is 946684800s from 1970-01-01 00:00:00 UTC
using namespace std::chrono;
return to_string(system_clock::time_point{tp.time_since_epoch() + kEpochOffset});
return to_string(system_clock::time_point{tp.time_since_epoch() + kEPOCH_OFFSET});
}
template <class Duration>
@@ -77,7 +77,7 @@ toStringIso(NetClock::time_point tp)
// 2000-01-01 00:00:00 UTC is 946684800s from 1970-01-01 00:00:00 UTC
// Note, NetClock::duration is seconds, as checked by static_assert
static_assert(std::is_same_v<NetClock::duration::period, std::ratio<1>>);
return toStringIso(date::sys_time<NetClock::duration>{tp.time_since_epoch() + kEpochOffset});
return toStringIso(date::sys_time<NetClock::duration>{tp.time_since_epoch() + kEPOCH_OFFSET});
}
/** A clock for measuring elapsed time.

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@@ -31,9 +31,9 @@ makeSeedPair() noexcept
// state_t(state_t const&) = delete;
// state_t& operator=(state_t const&) = delete;
};
static StateT kState;
std::scoped_lock const lock(kState.mutex);
return {kState.dist(kState.gen), kState.dist(kState.gen)};
static StateT kSTATE;
std::scoped_lock const lock(kSTATE.mutex);
return {kSTATE.dist(kSTATE.gen), kSTATE.dist(kSTATE.gen)};
}
} // namespace detail

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@@ -5,7 +5,7 @@
#include <optional>
namespace xrpl {
constexpr auto kMuldivMax = std::numeric_limits<std::uint64_t>::max();
auto constexpr kMULDIV_MAX = std::numeric_limits<std::uint64_t>::max();
/** Return value*mul/div accurately.
Computes the result of the multiplication and division in

View File

@@ -236,7 +236,7 @@ public:
map_.resize(partitions_);
XRPL_ASSERT(
partitions_,
"xrpl::PartitionedUnorderedMap::PartitionedUnorderedMap : "
"xrpl::partitioned_unordered_map::partitioned_unordered_map : "
"nonzero partitions");
}

View File

@@ -47,7 +47,7 @@ inline beast::xor_shift_engine&
defaultPrng()
{
// This is used to seed the thread-specific PRNGs on demand
static beast::xor_shift_engine kSeeder = [] {
static beast::xor_shift_engine kSEEDER = [] {
std::random_device rng;
std::uniform_int_distribution<std::uint64_t> distribution{1};
return beast::xor_shift_engine(distribution(rng));
@@ -57,17 +57,17 @@ defaultPrng()
static std::mutex kM;
// The thread-specific PRNGs:
thread_local beast::xor_shift_engine kEngine = [] {
thread_local beast::xor_shift_engine kENGINE = [] {
std::uint64_t seed = 0;
{
std::scoped_lock const lk(kM);
std::uniform_int_distribution<std::uint64_t> distribution{1};
seed = distribution(kSeeder);
seed = distribution(kSEEDER);
}
return beast::xor_shift_engine{seed};
}();
return kEngine;
return kENGINE;
}
/** Return a uniformly distributed random integer.
@@ -94,7 +94,7 @@ template <class Engine, class Integral>
std::enable_if_t<std::is_integral_v<Integral> && detail::is_engine<Engine>::value, Integral>
randInt(Engine& engine, Integral min, Integral max)
{
XRPL_ASSERT(max > min, "xrpl::randInt : max over min inputs");
XRPL_ASSERT(max > min, "xrpl::rand_int : max over min inputs");
// This should have no state and constructing it should
// be very cheap. If that turns out not to be the case

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@@ -22,9 +22,9 @@ safeCast(Src s) noexcept
{
static_assert(
std::is_signed_v<Dest> || std::is_unsigned_v<Src>, "Cannot cast signed to unsigned");
constexpr unsigned kNotSame = std::is_signed_v<Dest> != std::is_signed_v<Src>;
constexpr unsigned kNOT_SAME = std::is_signed_v<Dest> != std::is_signed_v<Src>;
static_assert(
sizeof(Dest) >= sizeof(Src) + kNotSame,
sizeof(Dest) >= sizeof(Src) + kNOT_SAME,
"Destination is too small to hold all values of source");
return static_cast<Dest>(s);
}
@@ -81,7 +81,7 @@ safeDowncast(Src* s) noexcept
return static_cast<Dest>(s); // NOLINT(cppcoreguidelines-pro-type-static-cast-downcast)
#else
auto* result = dynamic_cast<Dest>(s);
XRPL_ASSERT(result != nullptr, "xrpl::safeDowncast : pointer downcast is valid");
XRPL_ASSERT(result != nullptr, "xrpl::safe_downcast : pointer downcast is valid");
return result;
#endif
}
@@ -94,7 +94,7 @@ safeDowncast(Src& s) noexcept
#ifndef NDEBUG
XRPL_ASSERT(
dynamic_cast<std::add_pointer_t<std::remove_reference_t<Dest>>>(&s) != nullptr,
"xrpl::safeDowncast : reference downcast is valid");
"xrpl::safe_downcast : reference downcast is valid");
#endif
return static_cast<Dest>(s); // NOLINT(cppcoreguidelines-pro-type-static-cast-downcast)
}

View File

@@ -24,20 +24,20 @@ namespace xrpl {
template <class EF>
class ScopeExit
{
EF exitFunction_;
bool executeOnDestruction_{true};
EF exit_function_;
bool execute_on_destruction_{true};
public:
~ScopeExit()
{
if (executeOnDestruction_)
exitFunction_();
if (execute_on_destruction_)
exit_function_();
}
ScopeExit(ScopeExit&& rhs) noexcept(
std::is_nothrow_move_constructible_v<EF> || std::is_nothrow_copy_constructible_v<EF>)
: exitFunction_{std::forward<EF>(rhs.exitFunction_)}
, executeOnDestruction_{rhs.executeOnDestruction_}
: exit_function_{std::forward<EF>(rhs.exit_function_)}
, execute_on_destruction_{rhs.execute_on_destruction_}
{
rhs.release();
}
@@ -51,7 +51,7 @@ public:
std::enable_if_t<
!std::is_same_v<std::remove_cv_t<EFP>, ScopeExit> &&
std::is_constructible_v<EF, EFP>>* = 0) noexcept
: exitFunction_{std::forward<EFP>(f)}
: exit_function_{std::forward<EFP>(f)}
{
static_assert(std::is_nothrow_constructible_v<EF, decltype(std::forward<EFP>(f))>);
}
@@ -59,7 +59,7 @@ public:
void
release() noexcept
{
executeOnDestruction_ = false;
execute_on_destruction_ = false;
}
};
@@ -69,22 +69,22 @@ ScopeExit(EF) -> ScopeExit<EF>;
template <class EF>
class ScopeFail
{
EF exitFunction_;
bool executeOnDestruction_{true};
int uncaughtOnCreation_{std::uncaught_exceptions()};
EF exit_function_;
bool execute_on_destruction_{true};
int uncaught_on_creation_{std::uncaught_exceptions()};
public:
~ScopeFail()
{
if (executeOnDestruction_ && std::uncaught_exceptions() > uncaughtOnCreation_)
exitFunction_();
if (execute_on_destruction_ && std::uncaught_exceptions() > uncaught_on_creation_)
exit_function_();
}
ScopeFail(ScopeFail&& rhs) noexcept(
std::is_nothrow_move_constructible_v<EF> || std::is_nothrow_copy_constructible_v<EF>)
: exitFunction_{std::forward<EF>(rhs.exitFunction_)}
, executeOnDestruction_{rhs.executeOnDestruction_}
, uncaughtOnCreation_{rhs.uncaughtOnCreation_}
: exit_function_{std::forward<EF>(rhs.exit_function_)}
, execute_on_destruction_{rhs.execute_on_destruction_}
, uncaught_on_creation_{rhs.uncaught_on_creation_}
{
rhs.release();
}
@@ -98,7 +98,7 @@ public:
std::enable_if_t<
!std::is_same_v<std::remove_cv_t<EFP>, ScopeFail> &&
std::is_constructible_v<EF, EFP>>* = 0) noexcept
: exitFunction_{std::forward<EFP>(f)}
: exit_function_{std::forward<EFP>(f)}
{
static_assert(std::is_nothrow_constructible_v<EF, decltype(std::forward<EFP>(f))>);
}
@@ -106,7 +106,7 @@ public:
void
release() noexcept
{
executeOnDestruction_ = false;
execute_on_destruction_ = false;
}
};
@@ -116,22 +116,22 @@ ScopeFail(EF) -> ScopeFail<EF>;
template <class EF>
class ScopeSuccess
{
EF exitFunction_;
bool executeOnDestruction_{true};
int uncaughtOnCreation_{std::uncaught_exceptions()};
EF exit_function_;
bool execute_on_destruction_{true};
int uncaught_on_creation_{std::uncaught_exceptions()};
public:
~ScopeSuccess() noexcept(noexcept(exitFunction_()))
~ScopeSuccess() noexcept(noexcept(exit_function_()))
{
if (executeOnDestruction_ && std::uncaught_exceptions() <= uncaughtOnCreation_)
exitFunction_();
if (execute_on_destruction_ && std::uncaught_exceptions() <= uncaught_on_creation_)
exit_function_();
}
ScopeSuccess(ScopeSuccess&& rhs) noexcept(
std::is_nothrow_move_constructible_v<EF> || std::is_nothrow_copy_constructible_v<EF>)
: exitFunction_{std::forward<EF>(rhs.exitFunction_)}
, executeOnDestruction_{rhs.executeOnDestruction_}
, uncaughtOnCreation_{rhs.uncaughtOnCreation_}
: exit_function_{std::forward<EF>(rhs.exit_function_)}
, execute_on_destruction_{rhs.execute_on_destruction_}
, uncaught_on_creation_{rhs.uncaught_on_creation_}
{
rhs.release();
}
@@ -146,14 +146,14 @@ public:
!std::is_same_v<std::remove_cv_t<EFP>, ScopeSuccess> &&
std::is_constructible_v<EF, EFP>>* =
0) noexcept(std::is_nothrow_constructible_v<EF, EFP> || std::is_nothrow_constructible_v<EF, EFP&>)
: exitFunction_{std::forward<EFP>(f)}
: exit_function_{std::forward<EFP>(f)}
{
}
void
release() noexcept
{
executeOnDestruction_ = false;
execute_on_destruction_ = false;
}
};
@@ -205,7 +205,7 @@ class ScopeUnlock
public:
explicit ScopeUnlock(std::unique_lock<Mutex>& lock) noexcept(true) : plock_(&lock)
{
XRPL_ASSERT(plock_->owns_lock(), "xrpl::ScopeUnlock::ScopeUnlock : mutex must be locked");
XRPL_ASSERT(plock_->owns_lock(), "xrpl::scope_unlock::scope_unlock : mutex must be locked");
plock_->unlock();
}

View File

@@ -103,7 +103,7 @@ public:
{
XRPL_ASSERT(
index >= 0 && (mask_ != 0),
"xrpl::PackedSpinlock::PackedSpinlock : valid index and mask");
"xrpl::packed_spinlock::packed_spinlock : valid index and mask");
}
[[nodiscard]] bool

View File

@@ -15,7 +15,7 @@ namespace beast {
/** Measures handler latency on an io_context queue. */
template <class Clock>
class IOLatencyProbe
class IoLatencyProbe
{
private:
using duration = typename Clock::duration;
@@ -30,12 +30,12 @@ private:
bool cancel_{false};
public:
IOLatencyProbe(duration const& period, boost::asio::io_context& ios)
IoLatencyProbe(duration const& period, boost::asio::io_context& ios)
: period_(period), ios_(ios), timer_(ios_)
{
}
~IOLatencyProbe()
~IoLatencyProbe()
{
std::unique_lock<decltype(mutex_)> lock(mutex_);
cancel(lock, true);
@@ -85,7 +85,7 @@ public:
{
std::scoped_lock const lock(mutex_);
if (cancel_)
throw std::logic_error("IOLatencyProbe is canceled");
throw std::logic_error("io_latency_probe is canceled");
boost::asio::post(
ios_, SampleOp<Handler>(std::forward<Handler>(handler), Clock::now(), false, this));
}
@@ -100,7 +100,7 @@ public:
{
std::scoped_lock const lock(mutex_);
if (cancel_)
throw std::logic_error("IOLatencyProbe is canceled");
throw std::logic_error("io_latency_probe is canceled");
boost::asio::post(
ios_, SampleOp<Handler>(std::forward<Handler>(handler), Clock::now(), true, this));
}
@@ -140,18 +140,18 @@ private:
Handler handler;
time_point start;
bool repeat;
IOLatencyProbe* probe;
IoLatencyProbe* probe;
SampleOp(
Handler const& handler,
time_point const& start,
bool repeat,
IOLatencyProbe* probe)
IoLatencyProbe* probe)
: handler(handler), start(start), repeat(repeat), probe(probe)
{
XRPL_ASSERT(
probe,
"beast::IOLatencyProbe::SampleOp::SampleOp : non-null "
"beast::io_latency_probe::sample_op::sample_op : non-null "
"probe input");
probe->addref();
}
@@ -164,7 +164,7 @@ private:
{
XRPL_ASSERT(
probe,
"beast::IOLatencyProbe::SampleOp::SampleOp(SampleOp&&) : "
"beast::io_latency_probe::sample_op::sample_op(sample_op&&) : "
"non-null probe input");
from.probe = nullptr;
}

View File

@@ -83,8 +83,8 @@ template <class Facade, class Clock = Facade>
AbstractClock<Facade>&
getAbstractClock()
{
static detail::AbstractClockWrapper<Facade, Clock> kClock;
return kClock;
static detail::AbstractClockWrapper<Facade, Clock> kCLOCK;
return kCLOCK;
}
} // namespace beast

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