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18 Commits

Author SHA1 Message Date
Ayaz Salikhov
3c43f4614f release: Bump version to 3.2.0 2026-06-15 19:46:56 -04:00
dependabot[bot]
6b63f0ff61 ci: [DEPENDABOT] bump codecov/codecov-action from 6.0.1 to 7.0.0 (#7426)
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2026-06-15 19:46:49 -04:00
Bart
0ac8e6cf1e release: Bump version to 3.2.0-rc6 2026-06-15 22:24:03 +01:00
Vito Tumas
ed5f13481a fix: Disable transaction invariants 2026-06-15 22:24:03 +01:00
Vito Tumas
781ef175c9 perf: Dispatch "hasInvalidAmount()" on type tag instead of dynamic_cast 2026-06-15 22:24:03 +01:00
Ed Hennis
e5785c4fcb fix: Fix Number comparison operator 2026-06-15 22:24:02 +01:00
Michael Legleux
96d0563ea6 fix: Adjust xrpld systemd service 2026-06-15 22:24:02 +01:00
Bart
61dae6f792 release: Bump version to 3.2.0-rc5 2026-06-15 22:24:02 +01:00
yinyiqian1
fded06652a fix: Add zero NFT Offer ID check for NFTokenCancelOffer 2026-06-15 22:24:02 +01:00
Valentin Balaschenko
e833e8884d refactor: Revert "Explicitly trim the heap after cache sweeps (#6022)" 2026-06-15 22:24:02 +01:00
Michael Legleux
8e3eabc398 refactor: Remove auto-update script and update RPM version
* refactor: Update RPM version scheme; remove auto-update script; service hardening

- **RPM version scheme**: pre-releases now use `~` in the `Version` field instead of the `0.<release>.<suffix>` `Release`-field hack. Matches Debian's `~` convention, so RPM and DEB version strings are symmetric. Requires rpm ≥ 4.10 (RHEL 9 ships 4.17).

  Before/after for a pre-release build:
  ```
  # before
  xrpld-3.2.0-0.1.rc3+202606011647.d4cb68d5.el9.x86_64.rpm

  # after (symmetric with DEB)
  xrpld-3.2.0~rc2+202606010139.7679a310-1.el9.x86_64.rpm
  xrpld_3.2.0~rc2+202606010139.7679a310-1_amd64.deb
  ```
- **Auto-update removed**: `update-xrpld`, `update-xrpld.service`, and `update-xrpld.timer` deleted. The `50-xrpld.preset` `disable` line for the timer is dropped too.
- **Service hardening** (two new `[Service]` directives in `xrpld.service`):
  - `CapabilityBoundingSet=CAP_NET_BIND_SERVICE` — drops every Linux capability except `CAP_NET_BIND_SERVICE`, capping the privilege ceiling to least-privilege while still letting operators bind ports <1024 (e.g. WS/HTTPS on 443).
  - `SystemCallArchitectures=native` — restricts the service to the native syscall ABI, blocking alternate-ABI (32-bit/x32) syscalls used to evade seccomp filtering.

- [ ] Build RPM from a pre-release version (e.g. `3.2.0-b1`) and confirm `rpm -qi` shows `Version: 3.2.0~b1`, `Release: 1`
- [ ] Confirm `3.2.0~b1` sorts before `3.2.0` via `rpmvercmp`
- [ ] Install package and confirm no `update-xrpld*` units appear in `systemctl list-unit-files`
- [ ] Confirm `systemctl show xrpld` reflects the new `CapabilityBoundingSet` and `SystemCallArchitectures`

* fix: Track tmpfiles-created directories in RPM %files as %ghost
2026-06-15 22:24:02 +01:00
Sergey Kuznetsov
47b06ecd17 refactor: Use rocksdb includes only when it is available 2026-06-15 22:23:54 +01:00
Bart
5a25c9188b release: Bump version to 3.2.0-rc4 2026-06-15 22:23:53 +01:00
Bart
82ee5b7556 refactor: Handle int and uint API versions separately 2026-06-15 22:23:38 +01:00
Pratik Mankawde
f98c251011 refactor: Improve tracking of book (un)subscriptions 2026-06-15 22:23:38 +01:00
Sergey Kuznetsov
e29dc474b3 refactor: Improve payment channel closing and returned error codes 2026-06-15 22:23:28 +01:00
Pratik Mankawde
2728e11809 fix: Set request size limits and differential pricing for get-object-by-hash calls 2026-06-15 22:23:28 +01:00
Jingchen
9650fe8a6e refactor: Use explicit types to help compiler 2026-06-15 22:22:53 +01:00
583 changed files with 7059 additions and 11136 deletions

View File

@@ -153,8 +153,9 @@ Checks: "-*,
readability-use-std-min-max
"
# ---
# 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
# bugprone-narrowing-conversions, # this will break a lot of code but we should enable it in the future because it can eliminate a lot of bugs
# 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:

View File

@@ -11,6 +11,9 @@ endfunction()
function(create_symbolic_link target link)
endfunction()
function(xrpl_add_test name)
endfunction()
macro(exclude_from_default target_)
endmacro()

View File

@@ -35,8 +35,9 @@ runs:
LOG_VERBOSITY: ${{ inputs.log_verbosity }}
SANITIZERS: ${{ inputs.sanitizers }}
run: |
echo 'Installing dependencies.'
conan install \
--profile:all ci \
--profile ci \
--build="${BUILD_OPTION}" \
--options:host='&:tests=True' \
--options:host='&:xrpld=True' \

View File

@@ -1,34 +0,0 @@
name: Set compiler environment
description: "Set CC and CXX environment variables for the given compiler."
inputs:
compiler:
description: 'The compiler to use ("gcc" or "clang").'
required: true
runs:
using: composite
steps:
- name: Set CC and CXX for gcc
if: ${{ inputs.compiler == 'gcc' }}
shell: bash
run: |
echo "CC=gcc" >>"${GITHUB_ENV}"
echo "CXX=g++" >>"${GITHUB_ENV}"
- name: Set CC and CXX for clang
if: ${{ inputs.compiler == 'clang' }}
shell: bash
run: |
echo "CC=clang" >>"${GITHUB_ENV}"
echo "CXX=clang++" >>"${GITHUB_ENV}"
- name: Fail on unknown compiler
if: ${{ inputs.compiler != 'gcc' && inputs.compiler != 'clang' }}
shell: bash
env:
COMPILER: ${{ inputs.compiler }}
run: |
echo "Unknown compiler: $COMPILER" >&2
exit 1

View File

@@ -15,35 +15,32 @@ runs:
using: composite
steps:
- name: Apply custom configuration to global.conf
- name: Set up Conan configuration
shell: bash
run: |
echo 'Installing configuration.'
cat conan/global.conf ${{ runner.os == 'Linux' && '>>' || '>' }} $(conan config home)/global.conf
- name: Show global configuration
shell: bash
run: |
echo 'Conan configuration:'
conan config show '*'
- name: Install profiles
- name: Set up Conan profile
shell: bash
run: |
echo 'Installing profile.'
conan config install conan/profiles/ -tf $(conan config home)/profiles/
- name: Show CI profile
shell: bash
run: |
echo 'Conan profile:'
conan profile show --profile ci
- name: Add a remote
- name: Set up Conan remote
shell: bash
env:
REMOTE_NAME: ${{ inputs.remote_name }}
REMOTE_URL: ${{ inputs.remote_url }}
run: |
echo "Adding Conan remote '${REMOTE_NAME}' at '${REMOTE_URL}'."
conan remote add --index 0 --force "${REMOTE_NAME}" "${REMOTE_URL}"
- name: List remotes
shell: bash
run: |
echo 'Listing Conan remotes.'
conan remote list

View File

@@ -1,12 +1,40 @@
version: 2
updates:
- package-ecosystem: github-actions
directories:
- /
- .github/actions/build-deps/
- .github/actions/generate-version/
- .github/actions/set-compiler-env/
- .github/actions/setup-conan/
directory: /
schedule:
interval: weekly
day: monday
time: "04:00"
timezone: Etc/GMT
commit-message:
prefix: "ci: [DEPENDABOT] "
target-branch: develop
- package-ecosystem: github-actions
directory: .github/actions/build-deps/
schedule:
interval: weekly
day: monday
time: "04:00"
timezone: Etc/GMT
commit-message:
prefix: "ci: [DEPENDABOT] "
target-branch: develop
- package-ecosystem: github-actions
directory: .github/actions/generate-version/
schedule:
interval: weekly
day: monday
time: "04:00"
timezone: Etc/GMT
commit-message:
prefix: "ci: [DEPENDABOT] "
target-branch: develop
- package-ecosystem: github-actions
directory: .github/actions/setup-conan/
schedule:
interval: weekly
day: monday

View File

@@ -1,8 +1,6 @@
libxrpl.basics > xrpl.basics
libxrpl.conditions > xrpl.basics
libxrpl.conditions > xrpl.conditions
libxrpl.config > xrpl.basics
libxrpl.config > xrpl.config
libxrpl.core > xrpl.basics
libxrpl.core > xrpl.core
libxrpl.core > xrpl.json
@@ -14,12 +12,10 @@ libxrpl.ledger > xrpl.json
libxrpl.ledger > xrpl.ledger
libxrpl.ledger > xrpl.nodestore
libxrpl.ledger > xrpl.protocol
libxrpl.ledger > xrpl.server
libxrpl.ledger > xrpl.shamap
libxrpl.net > xrpl.basics
libxrpl.net > xrpl.net
libxrpl.nodestore > xrpl.basics
libxrpl.nodestore > xrpl.config
libxrpl.nodestore > xrpl.json
libxrpl.nodestore > xrpl.nodestore
libxrpl.nodestore > xrpl.protocol
@@ -27,7 +23,6 @@ libxrpl.protocol > xrpl.basics
libxrpl.protocol > xrpl.json
libxrpl.protocol > xrpl.protocol
libxrpl.rdb > xrpl.basics
libxrpl.rdb > xrpl.config
libxrpl.rdb > xrpl.core
libxrpl.rdb > xrpl.rdb
libxrpl.resource > xrpl.basics
@@ -35,7 +30,6 @@ libxrpl.resource > xrpl.json
libxrpl.resource > xrpl.protocol
libxrpl.resource > xrpl.resource
libxrpl.server > xrpl.basics
libxrpl.server > xrpl.config
libxrpl.server > xrpl.core
libxrpl.server > xrpl.json
libxrpl.server > xrpl.protocol
@@ -57,7 +51,6 @@ libxrpl.tx > xrpl.tx
test.app > test.jtx
test.app > test.unit_test
test.app > xrpl.basics
test.app > xrpl.config
test.app > xrpl.core
test.app > xrpld.app
test.app > xrpld.consensus
@@ -96,7 +89,6 @@ test.consensus > xrpl.tx
test.core > test.jtx
test.core > test.unit_test
test.core > xrpl.basics
test.core > xrpl.config
test.core > xrpl.core
test.core > xrpld.core
test.core > xrpl.json
@@ -111,7 +103,6 @@ test.csf > xrpl.protocol
test.json > test.jtx
test.json > xrpl.json
test.jtx > xrpl.basics
test.jtx > xrpl.config
test.jtx > xrpl.core
test.jtx > xrpld.app
test.jtx > xrpld.core
@@ -134,7 +125,6 @@ test.ledger > xrpl.protocol
test.nodestore > test.jtx
test.nodestore > test.unit_test
test.nodestore > xrpl.basics
test.nodestore > xrpl.config
test.nodestore > xrpld.core
test.nodestore > xrpl.nodestore
test.nodestore > xrpl.protocol
@@ -142,7 +132,6 @@ test.nodestore > xrpl.rdb
test.overlay > test.jtx
test.overlay > test.unit_test
test.overlay > xrpl.basics
test.overlay > xrpl.config
test.overlay > xrpld.app
test.overlay > xrpld.core
test.overlay > xrpld.overlay
@@ -169,7 +158,6 @@ test.resource > xrpl.basics
test.resource > xrpl.resource
test.rpc > test.jtx
test.rpc > xrpl.basics
test.rpc > xrpl.config
test.rpc > xrpl.core
test.rpc > xrpld.app
test.rpc > xrpld.core
@@ -184,7 +172,6 @@ test.rpc > xrpl.tx
test.server > test.jtx
test.server > test.unit_test
test.server > xrpl.basics
test.server > xrpl.config
test.server > xrpld.app
test.server > xrpld.core
test.server > xrpl.json
@@ -192,7 +179,6 @@ test.server > xrpl.protocol
test.server > xrpl.server
test.shamap > test.unit_test
test.shamap > xrpl.basics
test.shamap > xrpl.config
test.shamap > xrpl.nodestore
test.shamap > xrpl.protocol
test.shamap > xrpl.shamap
@@ -201,7 +187,6 @@ test.toplevel > xrpl.json
test.unit_test > xrpl.basics
test.unit_test > xrpl.protocol
tests.libxrpl > xrpl.basics
tests.libxrpl > xrpl.config
tests.libxrpl > xrpl.core
tests.libxrpl > xrpl.json
tests.libxrpl > xrpl.ledger
@@ -214,18 +199,15 @@ tests.libxrpl > xrpl.shamap
tests.libxrpl > xrpl.tx
xrpl.conditions > xrpl.basics
xrpl.conditions > xrpl.protocol
xrpl.config > xrpl.basics
xrpl.core > xrpl.basics
xrpl.core > xrpl.json
xrpl.core > xrpl.protocol
xrpl.json > xrpl.basics
xrpl.ledger > xrpl.basics
xrpl.ledger > xrpl.protocol
xrpl.ledger > xrpl.server
xrpl.ledger > xrpl.shamap
xrpl.net > xrpl.basics
xrpl.nodestore > xrpl.basics
xrpl.nodestore > xrpl.config
xrpl.nodestore > xrpl.protocol
xrpl.protocol > xrpl.basics
xrpl.protocol > xrpl.json
@@ -253,7 +235,6 @@ xrpl.tx > xrpl.ledger
xrpl.tx > xrpl.protocol
xrpld.app > test.unit_test
xrpld.app > xrpl.basics
xrpld.app > xrpl.config
xrpld.app > xrpl.core
xrpld.app > xrpld.consensus
xrpld.app > xrpld.core
@@ -272,13 +253,11 @@ xrpld.consensus > xrpl.json
xrpld.consensus > xrpl.ledger
xrpld.consensus > xrpl.protocol
xrpld.core > xrpl.basics
xrpld.core > xrpl.config
xrpld.core > xrpl.core
xrpld.core > xrpl.net
xrpld.core > xrpl.protocol
xrpld.core > xrpl.rdb
xrpld.overlay > xrpl.basics
xrpld.overlay > xrpl.config
xrpld.overlay > xrpl.core
xrpld.overlay > xrpld.consensus
xrpld.overlay > xrpld.core
@@ -291,18 +270,15 @@ xrpld.overlay > xrpl.server
xrpld.overlay > xrpl.shamap
xrpld.overlay > xrpl.tx
xrpld.peerfinder > xrpl.basics
xrpld.peerfinder > xrpl.config
xrpld.peerfinder > xrpld.core
xrpld.peerfinder > xrpl.protocol
xrpld.peerfinder > xrpl.rdb
xrpld.perflog > xrpl.basics
xrpld.perflog > xrpl.config
xrpld.perflog > xrpl.core
xrpld.perflog > xrpld.rpc
xrpld.perflog > xrpl.json
xrpld.perflog > xrpl.protocol
xrpld.rpc > xrpl.basics
xrpld.rpc > xrpl.config
xrpld.rpc > xrpl.core
xrpld.rpc > xrpld.core
xrpld.rpc > xrpl.json

View File

@@ -43,6 +43,9 @@ pushd "${DIRECTORY}"
# Rename the files.
find cmake -type f -name 'Rippled*.cmake' -exec bash -c 'mv "${1}" "${1/Rippled/Xrpl}"' - {} \;
find cmake -type f -name 'Ripple*.cmake' -exec bash -c 'mv "${1}" "${1/Ripple/Xrpl}"' - {} \;
if [ -e cmake/xrpl_add_test.cmake ]; then
mv cmake/xrpl_add_test.cmake cmake/XrplAddTest.cmake
fi
if [ -e include/xrpl/proto/ripple.proto ]; then
mv include/xrpl/proto/ripple.proto include/xrpl/proto/xrpl.proto
fi
@@ -57,6 +60,7 @@ find cmake -type f -name '*.cmake' | while read -r FILE; do
done
${SED_COMMAND} -i -E 's/Rippled?/Xrpl/g' CMakeLists.txt
${SED_COMMAND} -i 's/ripple/xrpl/g' CMakeLists.txt
${SED_COMMAND} -i 's/include(xrpl_add_test)/include(XrplAddTest)/' src/tests/libxrpl/CMakeLists.txt
${SED_COMMAND} -i 's/ripple.pb.h/xrpl.pb.h/' include/xrpl/protocol/messages.h
${SED_COMMAND} -i 's/ripple.pb.h/xrpl.pb.h/' BUILD.md
${SED_COMMAND} -i 's/ripple.pb.h/xrpl.pb.h/' BUILD.md

View File

@@ -1,324 +1,384 @@
#!/usr/bin/env python3
import argparse
import dataclasses
import itertools
import json
from dataclasses import dataclass
from pathlib import Path
THIS_DIR = Path(__file__).parent.resolve()
_BASE_CMAKE_ARGS = ["-Dtests=ON", "-Dwerr=ON", "-Dxrpld=ON", "-Dwextra=ON"]
# Maps sanitizer names (as used in cmake) to short config-name suffixes.
_SANITIZER_SUFFIX: dict[str, str] = {
"address": "asan",
"undefinedbehavior": "ubsan",
"thread": "tsan",
}
def get_cmake_args(build_type: str, extra_args: str) -> str:
"""Get the full list of CMake arguments for a config."""
args = _BASE_CMAKE_ARGS.copy()
if build_type == "Release":
args.append("-Dassert=ON")
if extra_args:
args.extend(extra_args.split())
return " ".join(args)
def runs_on_event(exclude_event_types: list[str], event: str | None) -> bool:
"""Whether a config should run for the current event.
'exclude_event_types' is a list of GitHub event names (e.g.
["pull_request"]) on which the config should NOT run; an empty list means
the config runs on every event. When no event is given (event is None), no
filtering is applied.
"""
if event is None:
return True
return event not in exclude_event_types
# ---------------------------------------------------------------------------
# Input types — shapes of the JSON config files
# ---------------------------------------------------------------------------
@dataclasses.dataclass
class LinuxConfig:
"""One entry in linux.json's 'configs' or 'package_configs' arrays."""
compiler: list[str]
@dataclass
class Config:
architecture: list[dict]
os: list[dict]
build_type: list[str]
arch: list[str]
sanitizers: list[str] = dataclasses.field(default_factory=list)
suffix: str = ""
extra_cmake_args: str = ""
image: str = "" # only used by package_configs entries
# List of GitHub event names (e.g. "pull_request") on which this config
# should NOT run. Empty means it runs on every event.
exclude_event_types: list[str] = dataclasses.field(default_factory=list)
cmake_args: list[str]
@dataclasses.dataclass
class LinuxFile:
"""Shape of linux.json."""
"""
Generate a strategy matrix for GitHub Actions CI.
image_tag: str
configs: dict[str, list[LinuxConfig]] # distro → configs
package_configs: dict[str, list[LinuxConfig]] # distro → packaging configs
On each PR commit we will build a selection of Debian, RHEL, Ubuntu, MacOS, and
Windows configurations, while upon merge into the develop or release branches,
we will build all configurations, and test most of them.
@classmethod
def load(cls, path: Path) -> "LinuxFile":
data = json.loads(path.read_text())
def parse(section: dict) -> dict[str, list[LinuxConfig]]:
return {
distro: [LinuxConfig(**c) for c in cfgs]
for distro, cfgs in section.items()
}
return cls(
image_tag=data["image_tag"],
configs=parse(data["configs"]),
package_configs=parse(data.get("package_configs", {})),
)
We will further set additional CMake arguments as follows:
- All builds will have the `tests`, `werr`, and `xrpld` options.
- All builds will have the `wextra` option except for GCC 12 and Clang 16.
- All release builds will have the `assert` option.
- Certain Debian Bookworm configurations will change the reference fee, enable
codecov, and enable voidstar in PRs.
"""
@dataclasses.dataclass
class PlatformConfig:
"""One entry in macos.json's or windows.json's 'configs' array."""
build_type: list[str]
build_only: bool = False # if true, skip tests (e.g. macos/Windows Debug)
extra_cmake_args: str = ""
# List of GitHub event names (e.g. "pull_request") on which this config
# should NOT run. Empty means it runs on every event.
exclude_event_types: list[str] = dataclasses.field(default_factory=list)
def __post_init__(self) -> None:
if isinstance(self.build_type, str):
self.build_type = [self.build_type]
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)
@dataclasses.dataclass
class PlatformFile:
"""Shape of macos.json and windows.json."""
platform: str # e.g. "macos/arm64" or "windows/amd64"
runner: list[str] # GitHub Actions runner labels
configs: list[PlatformConfig]
@classmethod
def load(cls, path: Path) -> "PlatformFile":
data = json.loads(path.read_text())
return cls(
platform=data["platform"],
runner=data["runner"],
configs=[PlatformConfig(**c) for c in data["configs"]],
)
# ---------------------------------------------------------------------------
# Output types — shapes of the generated GitHub Actions matrix entries
# ---------------------------------------------------------------------------
@dataclasses.dataclass
class Architecture:
platform: str
runner: list[str]
@dataclasses.dataclass
class MatrixEntry:
"""One entry in the generated build/test strategy matrix."""
config_name: str
cmake_args: str
cmake_target: str
build_only: bool
build_type: str
architecture: Architecture
sanitizers: str
image: str = "" # container image; empty for macOS/Windows (runs natively)
compiler: str = "" # compiler name ("gcc" or "clang"); empty for macOS/Windows
@dataclasses.dataclass
class PackagingEntry:
"""One entry in the generated packaging strategy matrix."""
artifact_name: str
image: str
distro: str # e.g. "debian" or "rhel"; drives package-format-specific steps
# ---------------------------------------------------------------------------
# Matrix expansion
# ---------------------------------------------------------------------------
_ARCHS: dict[str, Architecture] = {
"amd64": Architecture(
platform="linux/amd64", runner=["self-hosted", "Linux", "X64", "heavy"]
),
"arm64": Architecture(
platform="linux/arm64",
runner=["self-hosted", "Linux", "ARM64", "heavy-arm64"],
),
}
def expand_linux_matrix(
linux: LinuxFile, event: str | None = None
) -> list[MatrixEntry]:
"""Expand a LinuxFile into a flat list of matrix entries.
Each config entry is expanded over the cross-product of its
compiler, build_type, sanitizers, and architecture lists. Configs that
exclude the current event are skipped.
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.
"""
entries: list[MatrixEntry] = []
return [
{
"artifact_name": f"xrpld-{build_config_name(os, 'linux/amd64', 'Release')}",
"os": os,
}
for os in config.os
if os.get("package", False)
]
for distro, configs in linux.configs.items():
for cfg in configs:
if not runs_on_event(cfg.exclude_event_types, event):
continue
# An empty sanitizers list means "one entry with no sanitizer".
effective_sanitizers = cfg.sanitizers or [""]
effective_archs = {arch: _ARCHS[arch] for arch in cfg.arch}
for compiler, build_type, sanitizer, (arch, arch_info) in itertools.product(
cfg.compiler,
cfg.build_type,
effective_sanitizers,
effective_archs.items(),
def generate_strategy_matrix(all: bool, config: Config) -> list[dict]:
configurations = []
for architecture, os, build_type, cmake_args in itertools.product(
config.architecture, config.os, config.build_type, config.cmake_args
):
# The default CMake target is 'all' for Linux and MacOS and 'install'
# for Windows, but it can get overridden for certain configurations.
cmake_target = "install" if os["distro_name"] == "windows" else "all"
# We build and test all configurations by default, except for Windows in
# Debug, because it is too slow, as well as when code coverage is
# enabled as that mode already runs the tests.
build_only = False
if os["distro_name"] == "windows" and build_type == "Debug":
build_only = True
# Only generate a subset of configurations in PRs.
if not all:
# Debian:
# - Bookworm using GCC 13: Debug on linux/amd64, set the reference
# fee to 500 and enable code coverage (which will be done below).
# - Bookworm using GCC 15: Debug on linux/amd64, enable Address and
# UB sanitizers (which will be done below).
# - Bookworm using Clang 16: Debug on linux/amd64, enable voidstar.
# - Bookworm using Clang 17: Release on linux/amd64, set the
# reference fee to 1000.
# - Bookworm using Clang 20: Debug on linux/amd64, enable Address
# and UB sanitizers (which will be done below).
if os["distro_name"] == "debian":
skip = True
if os["distro_version"] == "bookworm":
if (
f"{os['compiler_name']}-{os['compiler_version']}" == "gcc-13"
and build_type == "Debug"
and architecture["platform"] == "linux/amd64"
):
cmake_args = f"-DUNIT_TEST_REFERENCE_FEE=500 {cmake_args}"
skip = False
if (
f"{os['compiler_name']}-{os['compiler_version']}" == "gcc-15"
and build_type == "Release"
and architecture["platform"] == "linux/amd64"
):
skip = False
if (
f"{os['compiler_name']}-{os['compiler_version']}" == "clang-16"
and build_type == "Debug"
and architecture["platform"] == "linux/amd64"
):
cmake_args = f"-Dvoidstar=ON {cmake_args}"
skip = False
if (
f"{os['compiler_name']}-{os['compiler_version']}" == "clang-17"
and build_type == "Release"
and architecture["platform"] == "linux/amd64"
):
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"
and build_type == "Debug"
and architecture["platform"] == "linux/amd64"
):
skip = False
if skip:
continue
# RHEL:
# - 9 using GCC 12: Debug and Release on linux/amd64
# (Release is required for RPM packaging).
# - 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 architecture["platform"] == "linux/amd64"
):
skip = False
elif os["distro_version"] == "10":
if (
f"{os['compiler_name']}-{os['compiler_version']}" == "clang-any"
and build_type == "Release"
and architecture["platform"] == "linux/amd64"
):
skip = False
if skip:
continue
# Ubuntu:
# - Jammy using GCC 12: Debug on linux/arm64, Release on
# linux/amd64 (Release is required for DEB packaging).
# - Noble using GCC 14: Release on linux/amd64.
# - Noble using Clang 18: Debug on linux/amd64.
# - Noble using Clang 19: Release on linux/arm64.
if os["distro_name"] == "ubuntu":
skip = True
if os["distro_version"] == "jammy":
if (
f"{os['compiler_name']}-{os['compiler_version']}" == "gcc-12"
and build_type == "Debug"
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"
and build_type == "Release"
and architecture["platform"] == "linux/amd64"
):
skip = False
if (
f"{os['compiler_name']}-{os['compiler_version']}" == "clang-18"
and build_type == "Debug"
and architecture["platform"] == "linux/amd64"
):
skip = False
if (
f"{os['compiler_name']}-{os['compiler_version']}" == "clang-19"
and build_type == "Release"
and architecture["platform"] == "linux/arm64"
):
skip = False
if skip:
continue
# MacOS:
# - Debug on macos/arm64.
if os["distro_name"] == "macos" and not (
build_type == "Debug" and architecture["platform"] == "macos/arm64"
):
name = f"{distro}-{compiler}-{build_type.lower()}-{arch}"
suffix_parts = [
s for s in [cfg.suffix, _SANITIZER_SUFFIX.get(sanitizer, "")] if s
]
if suffix_parts:
name += "-" + "-".join(suffix_parts)
continue
entries.append(
MatrixEntry(
config_name=name,
image=f"ghcr.io/xrplf/xrpld/nix-{distro}:{linux.image_tag}",
cmake_args=get_cmake_args(build_type, cfg.extra_cmake_args),
cmake_target="all",
build_only=False,
build_type=build_type,
architecture=arch_info,
sanitizers=sanitizer,
compiler=compiler,
)
)
# Windows:
# - Release on windows/amd64.
if os["distro_name"] == "windows" and not (
build_type == "Release" and architecture["platform"] == "windows/amd64"
):
continue
return entries
# Additional CMake arguments.
cmake_args = f"{cmake_args} -Dtests=ON -Dwerr=ON -Dxrpld=ON"
if not f"{os['compiler_name']}-{os['compiler_version']}" in [
"gcc-12",
"clang-16",
]:
cmake_args = f"{cmake_args} -Dwextra=ON"
if build_type == "Release":
cmake_args = f"{cmake_args} -Dassert=ON"
def expand_linux_packaging(linux: LinuxFile) -> list[PackagingEntry]:
"""Generate the packaging matrix from a LinuxFile's package_configs section.
Packaging uses vanilla distro images (debian:bookworm, ubi9, …) instead of
the nix-based build images, because deb/rpm tooling (debhelper, rpm-build)
is taken from the distro's archive rather than from nixpkgs. Each config
entry carries its own 'image'.
"""
entries = []
for distro, configs in linux.package_configs.items():
for cfg in configs:
for compiler, build_type in itertools.product(cfg.compiler, cfg.build_type):
entries.append(
PackagingEntry(
artifact_name=f"xrpld-{distro}-{compiler}-{build_type.lower()}-amd64",
image=cfg.image,
distro=distro,
)
)
return entries
def expand_platform_matrix(
pf: PlatformFile, event: str | None = None
) -> list[MatrixEntry]:
"""Expand a PlatformFile (macOS or Windows) into matrix entries.
Configs that exclude the current event are skipped.
"""
platform_name, arch = pf.platform.split("/")
is_windows = platform_name == "windows"
entries: list[MatrixEntry] = []
for cfg in pf.configs:
if not runs_on_event(cfg.exclude_event_types, event):
# We skip all RHEL on arm64 due to a build failure that needs further
# investigation.
if os["distro_name"] == "rhel" and architecture["platform"] == "linux/arm64":
continue
for build_type in cfg.build_type:
entries.append(
MatrixEntry(
config_name=f"{platform_name}-{arch}-{build_type.lower()}",
cmake_args=get_cmake_args(build_type, cfg.extra_cmake_args),
cmake_target="install" if is_windows else "all",
build_only=cfg.build_only,
build_type=build_type,
architecture=Architecture(platform=pf.platform, runner=pf.runner),
sanitizers="",
)
# 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
and architecture["platform"] == "linux/arm64"
):
continue
# Enable code coverage for Debian Bookworm using GCC 13 in Debug on
# linux/amd64.
if (
f"{os['distro_name']}-{os['distro_version']}" == "debian-bookworm"
and f"{os['compiler_name']}-{os['compiler_version']}" == "gcc-13"
and build_type == "Debug"
and architecture["platform"] == "linux/amd64"
):
cmake_args = f"{cmake_args} -Dcoverage=ON -Dcoverage_format=xml -DCODE_COVERAGE_VERBOSE=ON -DCMAKE_C_FLAGS=-O0 -DCMAKE_CXX_FLAGS=-O0"
# Enable unity build for Ubuntu Jammy using GCC 12 in Debug on
# linux/amd64.
if (
f"{os['distro_name']}-{os['distro_version']}" == "ubuntu-jammy"
and f"{os['compiler_name']}-{os['compiler_version']}" == "gcc-12"
and build_type == "Debug"
and architecture["platform"] == "linux/amd64"
):
cmake_args = f"{cmake_args} -Dunity=ON"
# 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)
if "-Dcoverage=ON" in cmake_args:
config_name += "-coverage"
if "-Dunity=ON" in cmake_args:
config_name += "-unity"
# Add the configuration to the list, with the most unique fields first,
# so that they are easier to identify in the GitHub Actions UI, as long
# names get truncated.
# 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
configurations.append(
{
"config_name": config_name + "-asan",
"cmake_args": cmake_args,
"cmake_target": cmake_target,
"build_only": build_only,
"build_type": build_type,
"os": os,
"architecture": architecture,
"sanitizers": "address",
}
)
return entries
configurations.append(
{
"config_name": config_name + "-ubsan",
"cmake_args": cmake_args,
"cmake_target": cmake_target,
"build_only": build_only,
"build_type": build_type,
"os": os,
"architecture": architecture,
"sanitizers": "undefinedbehavior",
}
)
# TSAN is deactivated due to seg faults with latest compilers.
activate_tsan = False
if activate_tsan:
configurations.append(
{
"config_name": config_name + "-tsan-ubsan",
"cmake_args": cmake_args,
"cmake_target": cmake_target,
"build_only": build_only,
"build_type": build_type,
"os": os,
"architecture": architecture,
"sanitizers": "thread,undefinedbehavior",
}
)
else:
configurations.append(
{
"config_name": config_name,
"cmake_args": cmake_args,
"cmake_target": cmake_target,
"build_only": build_only,
"build_type": build_type,
"os": os,
"architecture": architecture,
"sanitizers": "",
}
)
return configurations
# ---------------------------------------------------------------------------
# Entry point
# ---------------------------------------------------------------------------
def read_config(file: Path) -> Config:
config = json.loads(file.read_text())
if (
config["architecture"] is None
or config["os"] is None
or config["build_type"] is None
or config["cmake_args"] is None
):
raise Exception("Invalid configuration file.")
return Config(**config)
if __name__ == "__main__":
parser = argparse.ArgumentParser(
description="Generate a CI strategy matrix for all platforms or a specific one."
parser = argparse.ArgumentParser()
parser.add_argument(
"-a",
"--all",
help="Set to generate all configurations (generally used when merging a PR) or leave unset to generate a subset of configurations (generally used when committing to a PR).",
action="store_true",
)
parser.add_argument(
"-c",
"--config",
help="Platform to generate for ('linux', 'macos', or 'windows'). Defaults to all platforms.",
choices=["linux", "macos", "windows"],
default=None,
help="Path to the JSON file containing the strategy matrix configurations.",
required=False,
type=Path,
)
parser.add_argument(
"-p",
"--packaging",
help="Emit the Linux packaging matrix instead of the build/test matrix.",
help="Emit the packaging matrix (derived from the 'package' field on os entries) instead of the build/test matrix.",
action="store_true",
)
parser.add_argument(
"-e",
"--event",
help="The GitHub event name that triggered the workflow (e.g. 'push', "
"'pull_request'). Configs are filtered by their 'event_type'. If "
"omitted, no filtering is applied.",
default=None,
)
args = parser.parse_args()
matrix: list[MatrixEntry] | list[PackagingEntry] = []
matrix = []
if args.packaging:
matrix = expand_linux_packaging(LinuxFile.load(THIS_DIR / "linux.json"))
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 == "":
matrix += generate_strategy_matrix(
args.all, read_config(THIS_DIR / "linux.json")
)
matrix += generate_strategy_matrix(
args.all, read_config(THIS_DIR / "macos.json")
)
matrix += generate_strategy_matrix(
args.all, read_config(THIS_DIR / "windows.json")
)
else:
if args.config in ("linux", None):
matrix += expand_linux_matrix(
LinuxFile.load(THIS_DIR / "linux.json"), args.event
)
if args.config in ("macos", None):
matrix += expand_platform_matrix(
PlatformFile.load(THIS_DIR / "macos.json"), args.event
)
if args.config in ("windows", None):
matrix += expand_platform_matrix(
PlatformFile.load(THIS_DIR / "windows.json"), args.event
)
matrix += generate_strategy_matrix(args.all, read_config(args.config))
print(f"matrix={json.dumps({'include': [dataclasses.asdict(e) for e in matrix]})}")
# Generate the strategy matrix.
print(f"matrix={json.dumps({'include': matrix})}")

View File

@@ -1,84 +1,221 @@
{
"image_tag": "sha-63ffdc3",
"configs": {
"ubuntu": [
{
"compiler": ["gcc", "clang"],
"build_type": ["Debug", "Release"],
"arch": ["amd64", "arm64"]
},
{
"compiler": ["gcc", "clang"],
"build_type": ["Debug", "Release"],
"arch": ["amd64"],
"sanitizers": ["address", "undefinedbehavior"]
},
{
"compiler": ["gcc"],
"build_type": ["Debug"],
"arch": ["amd64"],
"suffix": "coverage",
"extra_cmake_args": "-DUNIT_TEST_REFERENCE_FEE=500 -Dcoverage=ON -Dcoverage_format=xml -DCODE_COVERAGE_VERBOSE=ON -DCMAKE_C_FLAGS=-O0 -DCMAKE_CXX_FLAGS=-O0"
},
{
"compiler": ["clang"],
"build_type": ["Debug"],
"arch": ["amd64"],
"suffix": "voidstar",
"extra_cmake_args": "-Dvoidstar=ON"
},
{
"compiler": ["clang"],
"build_type": ["Release"],
"arch": ["amd64"],
"suffix": "reffee",
"extra_cmake_args": "-DUNIT_TEST_REFERENCE_FEE=1000"
},
{
"compiler": ["gcc"],
"build_type": ["Debug"],
"arch": ["amd64"],
"suffix": "unity",
"extra_cmake_args": "-Dunity=ON",
"exclude_event_types": ["pull_request"]
}
],
"debian": [
{
"compiler": ["gcc"],
"build_type": ["Release"],
"arch": ["amd64"]
}
],
"rhel": [
{
"compiler": ["gcc"],
"build_type": ["Release"],
"arch": ["amd64"]
}
]
},
"package_configs": {
"debian": [
{
"compiler": ["gcc"],
"build_type": ["Release"],
"arch": ["amd64"],
"image": "ghcr.io/xrplf/xrpld/packaging-debian:sha-63ffdc3"
}
],
"rhel": [
{
"compiler": ["gcc"],
"build_type": ["Release"],
"arch": ["amd64"],
"image": "ghcr.io/xrplf/xrpld/packaging-rhel:sha-63ffdc3"
}
]
}
"architecture": [
{
"platform": "linux/amd64",
"runner": ["self-hosted", "Linux", "X64", "heavy"]
},
{
"platform": "linux/arm64",
"runner": ["self-hosted", "Linux", "ARM64", "heavy-arm64"]
}
],
"os": [
{
"distro_name": "debian",
"distro_version": "bookworm",
"compiler_name": "gcc",
"compiler_version": "12",
"image_sha": "4c086b9"
},
{
"distro_name": "debian",
"distro_version": "bookworm",
"compiler_name": "gcc",
"compiler_version": "13",
"image_sha": "4c086b9"
},
{
"distro_name": "debian",
"distro_version": "bookworm",
"compiler_name": "gcc",
"compiler_version": "14",
"image_sha": "4c086b9"
},
{
"distro_name": "debian",
"distro_version": "bookworm",
"compiler_name": "gcc",
"compiler_version": "15",
"image_sha": "4c086b9"
},
{
"distro_name": "debian",
"distro_version": "bookworm",
"compiler_name": "clang",
"compiler_version": "16",
"image_sha": "4c086b9"
},
{
"distro_name": "debian",
"distro_version": "bookworm",
"compiler_name": "clang",
"compiler_version": "17",
"image_sha": "4c086b9"
},
{
"distro_name": "debian",
"distro_version": "bookworm",
"compiler_name": "clang",
"compiler_version": "18",
"image_sha": "4c086b9"
},
{
"distro_name": "debian",
"distro_version": "bookworm",
"compiler_name": "clang",
"compiler_version": "19",
"image_sha": "4c086b9"
},
{
"distro_name": "debian",
"distro_version": "bookworm",
"compiler_name": "clang",
"compiler_version": "20",
"image_sha": "4c086b9"
},
{
"distro_name": "debian",
"distro_version": "trixie",
"compiler_name": "gcc",
"compiler_version": "14",
"image_sha": "4c086b9"
},
{
"distro_name": "debian",
"distro_version": "trixie",
"compiler_name": "gcc",
"compiler_version": "15",
"image_sha": "4c086b9"
},
{
"distro_name": "debian",
"distro_version": "trixie",
"compiler_name": "clang",
"compiler_version": "20",
"image_sha": "4c086b9"
},
{
"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"
},
{
"distro_name": "rhel",
"distro_version": "8",
"compiler_name": "gcc",
"compiler_version": "14",
"image_sha": "4c086b9"
},
{
"distro_name": "rhel",
"distro_version": "8",
"compiler_name": "clang",
"compiler_version": "any",
"image_sha": "4c086b9"
},
{
"distro_name": "rhel",
"distro_version": "9",
"compiler_name": "gcc",
"compiler_version": "12",
"image_sha": "4c086b9",
"package": true
},
{
"distro_name": "rhel",
"distro_version": "9",
"compiler_name": "gcc",
"compiler_version": "13",
"image_sha": "4c086b9"
},
{
"distro_name": "rhel",
"distro_version": "9",
"compiler_name": "gcc",
"compiler_version": "14",
"image_sha": "4c086b9"
},
{
"distro_name": "rhel",
"distro_version": "9",
"compiler_name": "clang",
"compiler_version": "any",
"image_sha": "4c086b9"
},
{
"distro_name": "rhel",
"distro_version": "10",
"compiler_name": "gcc",
"compiler_version": "14",
"image_sha": "4c086b9"
},
{
"distro_name": "rhel",
"distro_version": "10",
"compiler_name": "clang",
"compiler_version": "any",
"image_sha": "4c086b9"
},
{
"distro_name": "ubuntu",
"distro_version": "jammy",
"compiler_name": "gcc",
"compiler_version": "12",
"image_sha": "4c086b9",
"package": true
},
{
"distro_name": "ubuntu",
"distro_version": "noble",
"compiler_name": "gcc",
"compiler_version": "13",
"image_sha": "4c086b9"
},
{
"distro_name": "ubuntu",
"distro_version": "noble",
"compiler_name": "gcc",
"compiler_version": "14",
"image_sha": "4c086b9"
},
{
"distro_name": "ubuntu",
"distro_version": "noble",
"compiler_name": "clang",
"compiler_version": "16",
"image_sha": "4c086b9"
},
{
"distro_name": "ubuntu",
"distro_version": "noble",
"compiler_name": "clang",
"compiler_version": "17",
"image_sha": "4c086b9"
},
{
"distro_name": "ubuntu",
"distro_version": "noble",
"compiler_name": "clang",
"compiler_version": "18",
"image_sha": "4c086b9"
},
{
"distro_name": "ubuntu",
"distro_version": "noble",
"compiler_name": "clang",
"compiler_version": "19",
"image_sha": "4c086b9"
}
],
"build_type": ["Debug", "Release"],
"cmake_args": [""]
}

View File

@@ -1,16 +1,19 @@
{
"platform": "macos/arm64",
"runner": ["self-hosted", "macOS", "ARM64", "mac-runner-m1"],
"configs": [
"architecture": [
{
"build_type": "Release",
"extra_cmake_args": "-DCMAKE_POLICY_VERSION_MINIMUM=3.5"
},
{
"build_type": "Debug",
"extra_cmake_args": "-DCMAKE_POLICY_VERSION_MINIMUM=3.5",
"build_only": true,
"exclude_event_types": ["pull_request"]
"platform": "macos/arm64",
"runner": ["self-hosted", "macOS", "ARM64", "mac-runner-m1"]
}
]
],
"os": [
{
"distro_name": "macos",
"distro_version": "",
"compiler_name": "",
"compiler_version": "",
"image_sha": ""
}
],
"build_type": ["Debug", "Release"],
"cmake_args": ["-DCMAKE_POLICY_VERSION_MINIMUM=3.5"]
}

View File

@@ -1,12 +1,19 @@
{
"platform": "windows/amd64",
"runner": ["self-hosted", "Windows", "devbox"],
"configs": [
{ "build_type": "Release" },
"architecture": [
{
"build_type": "Debug",
"build_only": true,
"exclude_event_types": ["pull_request"]
"platform": "windows/amd64",
"runner": ["self-hosted", "Windows", "devbox"]
}
]
],
"os": [
{
"distro_name": "windows",
"distro_version": "",
"compiler_name": "",
"compiler_version": "",
"image_sha": ""
}
],
"build_type": ["Debug", "Release"],
"cmake_args": [""]
}

109
.github/workflows/build-nix-image.yml vendored Normal file
View File

@@ -0,0 +1,109 @@
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

@@ -1,54 +0,0 @@
name: Build Nix Docker images
on:
push:
branches:
- develop
paths:
- ".github/workflows/build-nix-images.yml"
- "flake.nix"
- "flake.lock"
- "nix/**"
pull_request:
paths:
- ".github/workflows/build-nix-images.yml"
- "flake.nix"
- "flake.lock"
- "nix/**"
workflow_dispatch:
concurrency:
# Read `on-trigger.yml` for the rationale behind this concurrency group name.
group: ${{ github.workflow }}-${{ github.event_name == 'push' && github.ref == 'refs/heads/develop' && github.sha || github.ref }}
cancel-in-progress: true
defaults:
run:
shell: bash
jobs:
build-merge:
name: Build and push nix-${{ matrix.distro.name }}
permissions:
contents: read
packages: write
strategy:
fail-fast: false
matrix:
# The base images are the oldest supported version of each distro
# that we want to build images for.
distro:
- name: nixos
base_image: nixos/nix:latest
- name: ubuntu
base_image: ubuntu:20.04
- name: debian
base_image: debian:bookworm
- name: rhel
base_image: registry.access.redhat.com/ubi9/ubi:latest
uses: XRPLF/actions/.github/workflows/build-multiarch-image.yml@c1b480188519e0cad040e6aa70db1cbc5a797e07
with:
image_name: ghcr.io/xrplf/xrpld/nix-${{ matrix.distro.name }}
dockerfile: nix/docker/Dockerfile
base_image: ${{ matrix.distro.base_image }}
push: ${{ github.repository == 'XRPLF/rippled' && github.event_name == 'push' }}

View File

@@ -1,46 +0,0 @@
name: Build packaging Docker images
on:
push:
branches:
- develop
paths:
- ".github/workflows/build-packaging-images.yml"
- "package/Dockerfile"
- "package/install-packaging-tools.sh"
pull_request:
paths:
- ".github/workflows/build-packaging-images.yml"
- "package/Dockerfile"
- "package/install-packaging-tools.sh"
workflow_dispatch:
concurrency:
# Read `on-trigger.yml` for the rationale behind this concurrency group name.
group: ${{ github.workflow }}-${{ github.event_name == 'push' && github.ref == 'refs/heads/develop' && github.sha || github.ref }}
cancel-in-progress: true
defaults:
run:
shell: bash
jobs:
build-merge:
name: Build and push packaging-${{ matrix.distro.name }}
permissions:
contents: read
packages: write
strategy:
fail-fast: false
matrix:
distro:
- name: debian
base_image: debian:bookworm
- name: rhel
base_image: registry.access.redhat.com/ubi9/ubi:latest
uses: XRPLF/actions/.github/workflows/build-multiarch-image.yml@c1b480188519e0cad040e6aa70db1cbc5a797e07
with:
image_name: ghcr.io/xrplf/xrpld/packaging-${{ matrix.distro.name }}
dockerfile: package/Dockerfile
base_image: ${{ matrix.distro.base_image }}
push: ${{ github.repository == 'XRPLF/rippled' && github.event_name == 'push' }}

View File

@@ -23,7 +23,7 @@ jobs:
runs-on: ubuntu-latest
steps:
- name: Checkout repository
uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
- name: Write PR body to file
env:

View File

@@ -17,7 +17,7 @@ jobs:
runs-on: ubuntu-latest
steps:
- name: Check if PRs are dirty
uses: eps1lon/actions-label-merge-conflict@0273be72a0bbd58fcd71d0d6c02c209b50d1e5e1 # v3.1.0
uses: eps1lon/actions-label-merge-conflict@1df065ebe6e3310545d4f4c4e862e43bdca146f0 # v3.0.3
with:
dirtyLabel: "PR: has conflicts"
repoToken: "${{ secrets.GITHUB_TOKEN }}"

View File

@@ -33,7 +33,7 @@ jobs:
runs-on: ubuntu-latest
steps:
- name: Checkout repository
uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
- name: Determine changed files
# This step checks whether any files have changed that should
# cause the next jobs to run. We do it this way rather than

View File

@@ -33,6 +33,7 @@ jobs:
with:
ccache_enabled: false
os: ${{ matrix.os }}
strategy_matrix: minimal
secrets:
CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}

View File

@@ -88,6 +88,7 @@ jobs:
# not identical to a regular compilation.
ccache_enabled: ${{ github.repository_owner == 'XRPLF' && !startsWith(github.ref, 'refs/heads/release') }}
os: ${{ matrix.os }}
strategy_matrix: ${{ github.event_name == 'schedule' && 'all' || 'minimal' }}
secrets:
CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}

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@312aaab296060ff89d7f798dcab59f019bea6e02
uses: XRPLF/actions/.github/workflows/pre-commit.yml@cba1f0891650baf1a9c88624dc2d72573be2eb81
with:
runs_on: ubuntu-latest
container: '{ "image": "ghcr.io/xrplf/ci/tools-rippled-pre-commit:sha-41ec7c1" }'

View File

@@ -41,13 +41,13 @@ env:
jobs:
build:
runs-on: ubuntu-latest
container: ghcr.io/xrplf/xrpld/nix-ubuntu:sha-63ffdc3
container: ghcr.io/xrplf/ci/tools-rippled-documentation:sha-a8c7be1
steps:
- name: Checkout repository
uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
- name: Prepare runner
uses: XRPLF/actions/prepare-runner@c47daebb2f9db64ffbac71b47d68a661498d5ce8
uses: XRPLF/actions/prepare-runner@90f11ee655d1687824fb8793db770477d52afbab
with:
enable_ccache: false
@@ -57,11 +57,19 @@ jobs:
with:
subtract: ${{ env.NPROC_SUBTRACT }}
- name: Print build environment
uses: XRPLF/actions/print-build-env@59dec886e4afb05a1724443af08baccbc045b574
- name: Check configuration
run: |
echo 'Checking path.'
echo ${PATH} | tr ':' '\n'
- name: Check Doxygen version
run: doxygen --version
echo 'Checking environment variables.'
env | sort
echo 'Checking CMake version.'
cmake --version
echo 'Checking Doxygen version.'
doxygen --version
- name: Build documentation
env:

View File

@@ -0,0 +1,89 @@
# 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

@@ -57,12 +57,6 @@ on:
type: string
default: ""
compiler:
description: 'The compiler to use ("gcc" or "clang"). Leave empty for macOS/Windows (uses system default).'
required: false
type: string
default: ""
secrets:
CODECOV_TOKEN:
description: "The Codecov token to use for uploading coverage reports."
@@ -82,7 +76,7 @@ jobs:
name: ${{ inputs.config_name }}
runs-on: ${{ fromJSON(inputs.runs_on) }}
container: ${{ inputs.image != '' && inputs.image || null }}
timeout-minutes: ${{ inputs.sanitizers != '' && 360 || 90 }}
timeout-minutes: ${{ inputs.sanitizers != '' && 360 || 60 }}
env:
# Use a namespace to keep the objects separate for each configuration.
CCACHE_NAMESPACE: ${{ inputs.config_name }}
@@ -110,10 +104,10 @@ jobs:
uses: XRPLF/actions/cleanup-workspace@c7d9ce5ebb03c752a354889ecd870cadfc2b1cd4
- name: Checkout repository
uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
- name: Prepare runner
uses: XRPLF/actions/prepare-runner@c47daebb2f9db64ffbac71b47d68a661498d5ce8
uses: XRPLF/actions/prepare-runner@90f11ee655d1687824fb8793db770477d52afbab
with:
enable_ccache: ${{ inputs.ccache_enabled }}
@@ -130,12 +124,6 @@ jobs:
with:
subtract: ${{ inputs.nproc_subtract }}
- name: Set compiler environment (Linux)
if: ${{ runner.os == 'Linux' }}
uses: ./.github/actions/set-compiler-env
with:
compiler: ${{ inputs.compiler }}
- name: Setup Conan
env:
SANITIZERS: ${{ inputs.sanitizers }}
@@ -203,21 +191,6 @@ jobs:
--parallel "${BUILD_NPROC}" \
--target "${CMAKE_TARGET}"
# This step is needed to allow running in non-Nix environments
- name: Patch binary to use default loader and remove rpath (Linux)
if: ${{ runner.os == 'Linux' && env.SANITIZERS_ENABLED == 'false' }}
run: |
loader="$(/tmp/loader-path.sh)"
patchelf --set-interpreter "${loader}" --remove-rpath "${{ env.BUILD_DIR }}/xrpld"
# We're only running aarch64 Linux builds in Ubuntu-based images, so this is kept simple
- name: Install libatomic (Linux aarch64)
if: ${{ runner.os == 'Linux' && runner.arch == 'ARM64' }}
run: |
apt update --yes
apt install -y --no-install-recommends \
libatomic1
- name: Show ccache statistics
if: ${{ inputs.ccache_enabled }}
run: |
@@ -236,15 +209,6 @@ jobs:
retention-days: 3
if-no-files-found: error
- name: Upload the test binary (Linux)
if: ${{ github.event.repository.visibility == 'public' && runner.os == 'Linux' }}
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1
with:
name: xrpl_tests-${{ inputs.config_name }}
path: ${{ env.BUILD_DIR }}/xrpl_tests
retention-days: 3
if-no-files-found: error
- name: Export server definitions
if: ${{ runner.os != 'Windows' && !inputs.build_only && env.VOIDSTAR_ENABLED != 'true' }}
working-directory: ${{ env.BUILD_DIR }}
@@ -253,7 +217,7 @@ jobs:
./xrpld --definitions | python3 -m json.tool >server_definitions.json
- name: Upload server definitions
if: ${{ github.event.repository.visibility == 'public' && inputs.config_name == 'debian-gcc-release-amd64' }}
if: ${{ github.event.repository.visibility == 'public' && inputs.config_name == 'debian-bookworm-gcc-13-amd64-release' }}
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1
with:
name: server-definitions
@@ -295,8 +259,16 @@ jobs:
- name: Run the separate tests
if: ${{ !inputs.build_only }}
working-directory: ${{ runner.os == 'Windows' && format('{0}/{1}', env.BUILD_DIR, inputs.build_type) || env.BUILD_DIR }}
run: ./xrpl_tests
working-directory: ${{ env.BUILD_DIR }}
# Windows locks some of the build files while running tests, and parallel jobs can collide
env:
BUILD_TYPE: ${{ inputs.build_type }}
PARALLELISM: ${{ runner.os == 'Windows' && '1' || steps.nproc.outputs.nproc }}
run: |
ctest \
--output-on-failure \
-C "${BUILD_TYPE}" \
-j "${PARALLELISM}"
- name: Run the embedded tests
if: ${{ !inputs.build_only }}
@@ -307,25 +279,7 @@ jobs:
set -o pipefail
# Coverage builds are slower due to instrumentation; use fewer parallel jobs to avoid flakiness
[ "$COVERAGE_ENABLED" = "true" ] && BUILD_NPROC=$((BUILD_NPROC - 2))
# The resolver/preload workaround is only correct for the ASan build:
# a regular build doesn't hit the __dn_expand interceptor bug, and must
# NOT have libasan injected. So only preload when xrpld is ASan-built.
#
# libresolv hosts getaddrinfo's resolver helpers (dn_expand, res_*). Under ASan
# these are intercepted via dlsym(RTLD_NEXT, ...), which yields a NULL pointer
# and crashes DNS resolution if libresolv isn't loaded. Linking it guarantees
# the symbols are present; it's a harmless no-op on glibc >= 2.34 (merged into
# libc) and is what the compiler driver already does for sanitizer builds.
# https://github.com/llvm/llvm-project/issues/59007
# https://github.com/google/sanitizers/issues/1592
if ldd ./xrpld | grep -q libasan; then
PRELOAD="$(gcc -print-file-name=libasan.so):/usr/lib/x86_64-linux-gnu/libresolv.so.2"
else
PRELOAD=""
fi
LD_PRELOAD="$PRELOAD" ./xrpld --unittest --unittest-jobs "${BUILD_NPROC}" 2>&1 | tee unittest.log
./xrpld --unittest --unittest-jobs "${BUILD_NPROC}" 2>&1 | tee unittest.log
- name: Show test failure summary
if: ${{ failure() && !inputs.build_only }}

View File

@@ -19,6 +19,13 @@ on:
required: true
type: string
strategy_matrix:
# TODO: Support additional strategies, e.g. "ubuntu" for generating all Ubuntu configurations.
description: 'The strategy matrix to use for generating the configurations ("minimal", "all").'
required: false
type: string
default: "minimal"
secrets:
CODECOV_TOKEN:
description: "The Codecov token to use for uploading coverage reports."
@@ -30,6 +37,7 @@ jobs:
uses: ./.github/workflows/reusable-strategy-matrix.yml
with:
os: ${{ inputs.os }}
strategy_matrix: ${{ inputs.strategy_matrix }}
# Build and test the binary for each configuration.
build-test-config:
@@ -39,6 +47,7 @@ jobs:
strategy:
fail-fast: ${{ github.event_name == 'merge_group' }}
matrix: ${{ fromJson(needs.generate-matrix.outputs.matrix) }}
max-parallel: 10
with:
build_only: ${{ matrix.build_only }}
build_type: ${{ matrix.build_type }}
@@ -46,9 +55,8 @@ jobs:
cmake_args: ${{ matrix.cmake_args }}
cmake_target: ${{ matrix.cmake_target }}
runs_on: ${{ toJSON(matrix.architecture.runner) }}
image: ${{ matrix.image || '' }}
image: ${{ contains(matrix.architecture.platform, 'linux') && 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) || '' }}
config_name: ${{ matrix.config_name }}
sanitizers: ${{ matrix.sanitizers }}
compiler: ${{ matrix.compiler || '' }}
secrets:
CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}

View File

@@ -18,7 +18,7 @@ jobs:
runs-on: ubuntu-latest
steps:
- name: Checkout repository
uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
- name: Check levelization
run: python .github/scripts/levelization/generate.py
- name: Check for differences

View File

@@ -18,7 +18,7 @@ jobs:
runs-on: ubuntu-latest
steps:
- name: Checkout repository
uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
- name: Check definitions
run: .github/scripts/rename/definitions.sh .
- name: Check copyright notices

View File

@@ -29,23 +29,23 @@ jobs:
if: ${{ inputs.check_only_changed }}
permissions:
contents: read
uses: XRPLF/actions/.github/workflows/determine-tidy-files.yml@312aaab296060ff89d7f798dcab59f019bea6e02
uses: XRPLF/actions/.github/workflows/determine-tidy-files.yml@224f3c48d3014d082a1129237b8291ff0b0a331f
run-clang-tidy:
name: Run clang tidy
needs: [determine-files]
if: ${{ always() && !cancelled() && (!inputs.check_only_changed || needs.determine-files.outputs.cpp_changed_files != '' || needs.determine-files.outputs.clang_tidy_config_changed == 'true') }}
runs-on: ["self-hosted", "Linux", "X64", "heavy"]
container: "ghcr.io/xrplf/xrpld/nix-debian:sha-63ffdc3"
container: "ghcr.io/xrplf/ci/debian-trixie:clang-21-sha-53033a2"
permissions:
contents: read
issues: write
steps:
- name: Checkout repository
uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
- name: Prepare runner
uses: XRPLF/actions/prepare-runner@c47daebb2f9db64ffbac71b47d68a661498d5ce8
uses: XRPLF/actions/prepare-runner@90f11ee655d1687824fb8793db770477d52afbab
with:
enable_ccache: false
@@ -56,11 +56,6 @@ jobs:
uses: XRPLF/actions/get-nproc@cf0433aa74563aead044a1e395610c96d65a37cf
id: nproc
- name: Set compiler environment
uses: ./.github/actions/set-compiler-env
with:
compiler: clang
- name: Setup Conan
uses: ./.github/actions/setup-conan

View File

@@ -1,7 +1,8 @@
# Build Linux packages (DEB and RPM) from pre-built binary artifacts.
# Discovers which configurations to package from linux.json (configs in
# "package_configs") and fans out one job per distro. Only linux/amd64 is
# supported; the runner is hardcoded in the job below.
# 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:
@@ -27,17 +28,18 @@ jobs:
matrix: ${{ steps.generate.outputs.matrix }}
steps:
- name: Checkout repository
uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
- name: Set up Python
uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 # v6.2.0
with:
python-version: "3.13"
python-version: 3.13
- name: Generate packaging matrix
id: generate
working-directory: .github/scripts/strategy-matrix
run: ./generate.py --packaging >>"${GITHUB_OUTPUT}"
run: |
./generate.py --packaging --config=linux.json >>"${GITHUB_OUTPUT}"
generate-version:
runs-on: ubuntu-latest
@@ -45,7 +47,7 @@ jobs:
version: ${{ steps.version.outputs.version }}
steps:
- name: Checkout repository
uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
with:
sparse-checkout: |
.github/actions/generate-version
@@ -64,12 +66,12 @@ jobs:
permissions:
contents: read
runs-on: ["self-hosted", "Linux", "X64", "heavy"]
container: ${{ matrix.image }}
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@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
- name: Download pre-built binary
uses: actions/download-artifact@3e5f45b2cfb9172054b4087a40e8e0b5a5461e7c # v8.0.1

View File

@@ -4,9 +4,15 @@ on:
workflow_call:
inputs:
os:
description: 'The operating system to use for the build ("linux", "macos", "windows", or empty for all).'
description: 'The operating system to use for the build ("linux", "macos", "windows").'
required: false
type: string
strategy_matrix:
# TODO: Support additional strategies, e.g. "ubuntu" for generating all Ubuntu configurations.
description: 'The strategy matrix to use for generating the configurations ("minimal", "all").'
required: false
type: string
default: "minimal"
outputs:
matrix:
description: "The generated strategy matrix."
@@ -23,17 +29,17 @@ jobs:
matrix: ${{ steps.generate.outputs.matrix }}
steps:
- name: Checkout repository
uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
- name: Set up Python
uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 # v6.2.0
with:
python-version: "3.13"
python-version: 3.13
- name: Generate strategy matrix
working-directory: .github/scripts/strategy-matrix
id: generate
env:
GENERATE_CONFIG: ${{ inputs.os != '' && format('--config={0}', inputs.os) || '' }}
GENERATE_EVENT: ${{ github.event_name }}
run: ./generate.py ${GENERATE_CONFIG} --event="${GENERATE_EVENT}" >>"${GITHUB_OUTPUT}"
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}"

View File

@@ -40,10 +40,10 @@ defaults:
jobs:
upload:
runs-on: ubuntu-latest
container: ghcr.io/xrplf/xrpld/nix-ubuntu:sha-63ffdc3
container: ghcr.io/xrplf/ci/ubuntu-noble:gcc-13-sha-5dd7158
steps:
- name: Checkout repository
uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
- name: Generate build version number
id: version

View File

@@ -30,7 +30,6 @@ on:
- ".github/scripts/strategy-matrix/**"
- conanfile.py
- conan.lock
- conan/profiles/**
env:
CONAN_REMOTE_NAME: xrplf
@@ -49,6 +48,8 @@ jobs:
# Generate the strategy matrix to be used by the following job.
generate-matrix:
uses: ./.github/workflows/reusable-strategy-matrix.yml
with:
strategy_matrix: ${{ github.event_name == 'pull_request' && 'minimal' || 'all' }}
# Build and upload the dependencies for each configuration.
run-upload-conan-deps:
@@ -57,18 +58,19 @@ jobs:
strategy:
fail-fast: false
matrix: ${{ fromJson(needs.generate-matrix.outputs.matrix) }}
max-parallel: 10
runs-on: ${{ matrix.architecture.runner }}
container: ${{ matrix.image || null }}
container: ${{ contains(matrix.architecture.platform, 'linux') && 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) || null }}
steps:
- name: Cleanup workspace (macOS and Windows)
if: ${{ runner.os == 'macOS' || runner.os == 'Windows' }}
uses: XRPLF/actions/cleanup-workspace@c7d9ce5ebb03c752a354889ecd870cadfc2b1cd4
- name: Checkout repository
uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
- name: Prepare runner
uses: XRPLF/actions/prepare-runner@c47daebb2f9db64ffbac71b47d68a661498d5ce8
uses: XRPLF/actions/prepare-runner@90f11ee655d1687824fb8793db770477d52afbab
with:
enable_ccache: false
@@ -81,12 +83,6 @@ jobs:
with:
subtract: ${{ env.NPROC_SUBTRACT }}
- name: Set compiler environment (Linux)
if: ${{ runner.os == 'Linux' }}
uses: ./.github/actions/set-compiler-env
with:
compiler: ${{ matrix.compiler }}
- name: Setup Conan
env:
SANITIZERS: ${{ matrix.sanitizers }}

View File

@@ -45,14 +45,14 @@ found here](./docs/build/environment.md).
It is possible to build with Conan 1.60+, but the instructions are
significantly different, which is why we are not recommending it.
`xrpld` is written in the C++23 dialect and includes the `<concepts>` header.
The [tested compiler versions][2] are:
`xrpld` is written in the C++20 dialect and includes the `<concepts>` header.
The [minimum compiler versions][2] required are:
| Compiler | Version |
| ----------- | --------- |
| GCC | 15 |
| Clang | 22 |
| Apple Clang | 17 |
| GCC | 12 |
| Clang | 16 |
| Apple Clang | 16 |
| MSVC | 19.44[^3] |
### Linux
@@ -232,11 +232,11 @@ name and then creating a new `default` profile for a different compiler.
#### Select language
The default profile created by Conan will typically select different C++ dialect
than C++23 used by this project. You should set `23` in the profile line
than C++20 used by this project. You should set `20` in the profile line
starting with `compiler.cppstd=`. For example:
```bash
sed -i.bak -e 's|^compiler\.cppstd=.*$|compiler.cppstd=23|' $(conan config home)/profiles/default
sed -i.bak -e 's|^compiler\.cppstd=.*$|compiler.cppstd=20|' $(conan config home)/profiles/default
```
#### Select standard library in Linux

View File

@@ -15,7 +15,7 @@ list(APPEND CMAKE_MODULE_PATH "${CMAKE_CURRENT_SOURCE_DIR}/cmake")
project(xrpl)
set(CMAKE_CXX_EXTENSIONS OFF)
set(CMAKE_CXX_STANDARD 23)
set(CMAKE_CXX_STANDARD 20)
set(CMAKE_CXX_STANDARD_REQUIRED ON)
set(CMAKE_EXPORT_COMPILE_COMMANDS ON)

View File

@@ -300,46 +300,6 @@ If you wish to automatically fix whatever clang-tidy finds _and_ is capable of f
run-clang-tidy -p build -quiet -fix -allow-no-checks src tests
```
## Telemetry span attribute naming
OpenTelemetry span attribute keys follow these rules so they stay consistent
across the code, the OTel collector, Tempo, Grafana dashboards, and docs. The
constants in the `*SpanNames.h` headers are the single source of truth; every
other layer must match them. A CI check enforces this end to end.
1. Per-span unique attribute: bare field name — allowed when the field is
recorded by a single span/workflow, so the span name already supplies the
domain (e.g. `command`, `local`, `version` on `rpc.command` / `tx.process`).
2. Shared attribute (same concept on more than one span): ONE key, reused
verbatim on every span that records it — the span name tells the occurrences
apart, so no per-emitter prefix is added. Pick the name by the field's
meaning: a property of a domain object keeps that object's bare field name
(`ledger_hash`, `ledger_seq`, `tx_hash`, `peer_id`, `full_validation`); a
field already qualified by a sub-kind keeps that qualifier on every emitter
(`proposal_trusted` on both `consensus.proposal.receive` and
`peer.proposal.receive`; `validation_trusted` likewise). Define it once in
the base `SpanNames.h` `namespace attr` block and re-export (`using`) it from
each domain header, so all emitters share the exact string.
3. Collision qualifier: `<domain>_<field>` — only when a bare name would collide
with a DIFFERENT concept in the shared spanmetrics label space, or with the
OTel-reserved `status` key (e.g. `rpc_status`, `grpc_status`,
`consensus_state`, `consensus_round`). This disambiguates distinct concepts
that share a word; it is NOT used to tag the same concept with the workflow
that emitted it — that is rule 2 (one shared name).
4. Resource attribute: dotted `xrpl.<subsystem>.<field>` — reserved ONLY for
process/network identity set once at startup (`xrpl.network.id`,
`xrpl.network.type`). Never use the dotted `xrpl.` form for span attributes.
5. Span names use `<subsystem>[.<component>]` (dotted). Only attribute _keys_
follow rules 14.
Standard OpenTelemetry semantic-convention keys keep their canonical dotted
form (e.g. `service.*` resource attributes, `http.*` span attributes); the
"no dotted form" rule above applies to xrpl-custom keys, not to OTel-standard
conventions.
Always reference the `*SpanNames.h` constants — never pass string literals as
attribute keys or values to `setAttribute`/`addEvent`.
## Contracts and instrumentation
We are using [Antithesis](https://antithesis.com/) for continuous fuzzing,

View File

@@ -1,565 +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)
xrpld P2P messages such as `TMTransaction` carry the trace context in two added byte fields alongside the existing payload: `trace_parent` holds the W3C traceparent (`trace_id`, `span_id`, and `trace_flags`), and `trace_state` holds the optional W3C tracestate. Together they propagate the trace across the P2P boundary so a receiving node can attach its spans to the sender's span.
---
## Sampling
Not every trace needs to be recorded. **Sampling** reduces overhead:
### Head Sampling (at trace start)
```
Request arrives → Random N% chance → Record or skip entire trace
```
- ✅ Low overhead
- ❌ May miss interesting traces
> **xrpld note**: xrpld intentionally fixes head sampling at 100% (sample
> everything) and does not expose a configurable ratio. A per-node ratio
> would let different nodes make divergent keep/drop decisions for the same
> distributed trace, producing broken/partial traces. xrpld uses a
> `ParentBased` sampler so spans with a remote parent honor the upstream
> decision. Volume reduction is delegated to collector-side tail sampling.
### 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/>ledger_seq = 12345678<br/>consensus_mode = proposing<br/>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["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" && tx_hash="ABC123..."}` |
| **Cross-Node Propagation** | Transaction path across multiple xrpld nodes with timing | `{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 `tx_hash` to get full trace
2. **Identify Bottleneck**: Look at span durations to find slowest component
3. **Check Attributes**: Review `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)_

View File

@@ -1,564 +0,0 @@
# Design Decisions
> **Parent Document**: [OpenTelemetryPlan.md](./OpenTelemetryPlan.md)
> **Related**: [Architecture Analysis](./01-architecture-analysis.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)
OTLP/HTTP is the only exporter wired up in Phase 1b. It is configured via
`OtlpHttpExporterOptions` with the collector traces endpoint
(`http://localhost:4318/v1/traces` by default) and a JSON content type
(binary protobuf is also available).
### 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.
When wired up, the gRPC path will use `OtlpGrpcExporterOptions` configured with
the collector endpoint (host on port 4317), TLS credentials enabled, and a CA
certificate path.
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
| Span name | Description |
| ------------------------------ | --------------------------------------- |
| `tx.receive` | Transaction received from network |
| `tx.validate` | Transaction signature/format validation |
| `tx.process` | Full transaction processing |
| `tx.relay` | Transaction relay to peers |
| `tx.apply` | Apply transaction to ledger |
| `consensus.round` | Complete consensus round |
| `consensus.phase.open` | Open phase - collecting transactions |
| `consensus.phase.establish` | Establish phase - reaching agreement |
| `consensus.phase.accept` | Accept phase - applying consensus |
| `consensus.proposal.receive` | Receive peer proposal |
| `consensus.proposal.send` | Send our proposal |
| `consensus.validation.receive` | Receive peer validation |
| `consensus.validation.send` | Send our validation |
| `rpc.request` | HTTP/WebSocket request handling |
| `rpc.command.*` | Specific RPC command (dynamic) |
| `peer.connect` | Peer connection establishment |
| `peer.disconnect` | Peer disconnection |
| `peer.message.send` | Send protocol message |
| `peer.message.receive` | Receive protocol message |
| `ledger.acquire` | Ledger acquisition from network |
| `ledger.build` | Build new ledger |
| `ledger.validate` | Ledger validation |
| `ledger.close` | Close ledger |
| `ledger.replay` | Ledger replay executed |
| `ledger.delta` | Delta-based ledger acquired |
| `pathfind.request` | Path request initiated |
| `pathfind.compute` | Path computation executed |
| `txq.enqueue` | Transaction queued |
| `txq.apply` | Queued transaction applied |
| `fee.escalate` | Fee escalation triggered |
| `validator.list.fetch` | UNL list fetched |
| `validator.manifest` | Manifest update processed |
| `amendment.vote` | Amendment voting executed |
| `shamap.sync` | State tree synchronization |
| `job.enqueue` | Job added to queue |
| `job.execute` | Job execution |
### 2.3.3 Attribute Naming Conventions
Span **names** follow §2.3.1 (dotted `<component>.<operation>`). Span
**attribute keys** follow the rules below. The constants in the `*SpanNames.h`
headers are the single source of truth; the collector, Tempo, the Grafana
dashboards, and the runbook all consume these exact keys, so every layer must
agree with the code. A CI check enforces this end to end.
1. **Per-span unique attribute** → bare field name, allowed when the field is
recorded by a single span/workflow so the span name already supplies the
domain (e.g. `command`, `version`, `local` on `rpc.command`).
2. **Shared attribute (same concept on more than one span)** → ONE key, reused
verbatim on every span that records it; the span name tells the occurrences
apart, so no per-emitter prefix is added. Name it by the field's meaning: a
property of a domain object keeps that object's bare field name (`ledger_hash`,
`ledger_seq`, `tx_hash`, `peer_id`, `full_validation`); a field already
qualified by a sub-kind keeps that qualifier on every emitter (`proposal_trusted`
on both `consensus.proposal.receive` and `peer.proposal.receive`;
`validation_trusted` likewise). Defined once in the base `SpanNames.h`
`namespace attr` block and re-exported (`using`) by each domain header.
3. **Collision qualifier**`<domain>_<field>`, only when a bare name would
collide with a DIFFERENT concept in the shared spanmetrics label space or with
the OTel-reserved `status` key (e.g. `rpc_status`, `grpc_status`,
`consensus_state`, `consensus_round`, `consensus_mode`). This disambiguates
distinct concepts that share a word; it is NOT used to tag the same concept
with its emitting workflow — that is rule 2 (one shared name).
4. **Resource attribute** → dotted `xrpl.<subsystem>.<field>`, reserved ONLY
for process/network identity set once at startup (`xrpl.network.id`,
`xrpl.network.type`). Span attributes are never dotted in the `xrpl.` form —
it blurs the resource/span scope boundary and parses awkwardly in TraceQL.
5. **Span names** use `<subsystem>[.<component>]` (dotted, per §2.3.1). Only
attribute _keys_ follow rules 14.
Standard OpenTelemetry semantic-convention keys keep their canonical dotted
form (e.g. `service.*` resource attributes, `http.*` span attributes); the
"no dotted form" rule applies to xrpl-custom keys only.
The same rules are recorded in `CONTRIBUTING.md` (the permanent home, since
`OpenTelemetryPlan/` is removed once the rollout completes). The attribute
examples in §2.4 below follow these rules.
---
## 2.4 Attribute Schema
> **TxQ** = Transaction Queue | **UNL** = Unique Node List | **OTLP** = OpenTelemetry Protocol
### 2.4.1 Resource Attributes (Set Once at Startup)
Resource attributes identify the process and are set once at startup. They use
the standard OpenTelemetry semantic conventions plus custom dotted `xrpl.*`
keys (the dotted form is reserved for resource scope per §2.3.3).
| Key | Type / value | Description |
| --------------------- | ---------------------------------------------------------- | ------------------------------ |
| `service.name` | `"xrpld"` | Standard `SERVICE_NAME` |
| `service.version` | `BuildInfo::getVersionString()` | Standard `SERVICE_VERSION` |
| `service.instance.id` | node public key (base58) | Standard `SERVICE_INSTANCE_ID` |
| `xrpl.network.id` | network id (e.g. 0 for mainnet) | Network identifier |
| `xrpl.network.type` | `"mainnet"` \| `"testnet"` \| `"devnet"` \| `"standalone"` | Network kind |
| `xrpl.node.type` | `"validator"` \| `"stock"` \| `"reporting"` | Node role |
| `xrpl.node.cluster` | cluster name | Cluster name, if clustered |
### 2.4.2 Span Attributes by Category
> Span attribute keys use the underscore form from §2.3.3 (shared/qualified
> keys are `<domain>_<field>`; per-span unique keys are bare). The dotted form
> is reserved for the resource attributes in §2.4.1 above. This catalog lists
> the planned attribute set by category; the exact emitted key for each
> implemented span is defined by the `*SpanNames.h` constants, which are the
> single source of truth where the two differ.
#### Transaction Attributes
| Key | Type | Description |
| -------------- | ------ | ------------------------------------- |
| `tx_hash` | string | Transaction hash (hex) |
| `tx_type` | string | `"Payment"`, `"OfferCreate"`, etc. |
| `tx_account` | string | Source account (redacted in prod) |
| `tx_sequence` | int64 | Account sequence number |
| `tx_fee` | int64 | Fee in drops |
| `tx_result` | string | `"tesSUCCESS"`, `"tecPATH_DRY"`, etc. |
| `ledger_index` | int64 | Ledger containing transaction |
#### Consensus Attributes
| Key | Type | Description |
| -------------------- | ------- | ----------------------------------- |
| `consensus_round` | int64 | Round number |
| `consensus_phase` | string | `"open"`, `"establish"`, `"accept"` |
| `consensus_mode` | string | `"proposing"`, `"observing"`, etc. |
| `proposers` | int64 | Number of proposers |
| `prev_ledger_prefix` | string | Previous ledger hash prefix |
| `ledger_seq` | int64 | Ledger sequence |
| `tx_count` | int64 | Transactions in consensus set |
| `round_time_ms` | float64 | Round duration |
#### RPC Attributes
| Key | Type | Description |
| ---------- | ------ | ----------------------------------------------------- |
| `command` | string | Command name (per-span unique on `rpc.command`) |
| `version` | int64 | API version |
| `rpc_role` | string | `"admin"` or `"user"` (qualified — `role` is generic) |
| `params` | string | Sanitized parameters (optional) |
#### Peer & Message Attributes
| Key | Type | Description |
| -------------------- | ------- | -------------------------- |
| `peer_id` | string | Peer public key (base58) |
| `peer_address` | string | IP:port |
| `peer_latency_ms` | float64 | Measured latency |
| `peer_cluster` | string | Cluster name if clustered |
| `message_type` | string | Protocol message type name |
| `message_size_bytes` | int64 | Message size |
| `message_compressed` | bool | Whether compressed |
#### Ledger & Job Attributes
| Key | Type | Description |
| ----------------- | ------- | --------------------- |
| `ledger_hash` | string | Ledger hash |
| `ledger_index` | int64 | Ledger sequence/index |
| `close_time` | int64 | Close time (epoch) |
| `ledger_tx_count` | int64 | Transaction count |
| `job_type` | string | Job type name |
| `job_queue_ms` | float64 | Time spent in queue |
| `job_worker` | int64 | Worker thread ID |
#### PathFinding Attributes
| Key | Type | Description |
| -------------------------- | ------ | ------------------------- |
| `pathfind_source_currency` | string | Source currency code |
| `pathfind_dest_currency` | string | Destination currency code |
| `pathfind_path_count` | int64 | Number of paths found |
| `pathfind_cache_hit` | bool | RippleLineCache hit |
#### TxQ Attributes
| Key | Type | Description |
| --------------------- | ------ | --------------------------- |
| `txq_queue_depth` | int64 | Current queue depth |
| `txq_fee_level` | int64 | Fee level of transaction |
| `txq_eviction_reason` | string | Why transaction was evicted |
#### Fee Attributes
| Key | Type | Description |
| ---------------------- | ----- | ------------------------- |
| `fee_load_factor` | int64 | Current load factor |
| `fee_escalation_level` | int64 | Fee escalation multiplier |
#### Validator Attributes
| Key | Type | Description |
| ------------------------ | ----- | ------------------------- |
| `validator_list_size` | int64 | UNL size |
| `validator_list_age_sec` | int64 | Seconds since last update |
#### Amendment Attributes
| Key | Type | Description |
| ------------------ | ------ | -------------------------------------- |
| `amendment_name` | string | Amendment name |
| `amendment_status` | string | `"enabled"`, `"vetoed"`, `"supported"` |
#### SHAMap Attributes
| Key | Type | Description |
| ---------------------- | ------- | --------------------------------------------- |
| `shamap_type` | string | `"transaction"`, `"state"`, `"account_state"` |
| `shamap_missing_nodes` | int64 | Number of missing nodes during sync |
| `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** | `consensus_round`, `consensus_phase`, `consensus_mode`, `proposers`, `round_time_ms` | Analyze consensus timing |
| **RPC** | `command`, `version`, `rpc_status`, `duration_ms` | Monitor RPC performance |
| **Peer** | `peer_id` (public key), `peer_latency_ms`, `message_type`, `message_size_bytes` | Network topology analysis |
| **Ledger** | `ledger_hash`, `ledger_index`, `close_time`, `ledger_tx_count` | Ledger progression tracking |
| **Job** | `job_type`, `job_queue_ms`, `job_worker` | JobQueue performance |
| **PathFinding** | `pathfind_source_currency`, `pathfind_dest_currency`, `pathfind_path_count`, `pathfind_cache_hit` | Payment path analysis |
| **TxQ** | `txq_queue_depth`, `txq_fee_level`, `txq_eviction_reason` | Queue depth and fee tracking |
| **Fee** | `fee_load_factor`, `fee_escalation_level` | Fee escalation monitoring |
| **Validator** | `validator_list_size`, `validator_list_age_sec` | UNL health monitoring |
| **Amendment** | `amendment_name`, `amendment_status` | Protocol upgrade tracking |
| **SHAMap** | `shamap_type`, `shamap_missing_nodes`, `shamap_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** | `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 (via an `attributes` processor)
to hash or redact sensitive attributes before export — for example, hashing
`tx_account`, deleting `peer_address` to drop IP addresses, and deleting
`params` to redact request parameters.
#### Configuration Options for Privacy
In `xrpld.cfg`, operators control data collection granularity through the
`[telemetry]` section. Besides `enabled`, per-component toggles
(`trace_transactions`, `trace_consensus`, `trace_rpc`, `trace_peer` — the last
often disabled due to high volume) select which spans are emitted, and
redaction flags (`redact_account` to hash account addresses, `redact_peer_address`
to remove peer IP addresses) control SDK-level redaction before export.
> **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
A PerfLog entry is a JSON object with fields such as `time`, `method`,
`duration_us`, and `result`.
#### 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
In xrpld, Beast Insight is used through `increment` (counters), `gauge`
(point-in-time values), and `timing` (durations) calls.
#### 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
A span is created via `startSpan` (e.g. `"tx.relay"`), annotated with
attributes such as `tx_hash` and `peer_id`, and is automatically linked to its
parent through the active 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. The design is for `RPCHandler.cpp` to start an `rpc.command.<method>`
span alongside the existing PerfLog `rpcStart`/`rpcFinish`/`rpcError` calls,
extract the span's `trace_id` (when valid), and eventually stamp it onto the
PerfLog entry (a planned `setTraceId` hook) so logs and traces share a key. The
span status is set to OK on success or to error (recording the exception) on
failure.
---
_Previous: [Architecture Analysis](./01-architecture-analysis.md)_ | _Next: [Implementation Strategy](./03-implementation-strategy.md)_ | _Back to: [Overview](./OpenTelemetryPlan.md)_

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@@ -1,488 +0,0 @@
# Implementation Strategy
> **Parent Document**: [OpenTelemetryPlan.md](./OpenTelemetryPlan.md)
> **Related**: [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
│ ├── TelemetryConfig.h # Configuration structures
│ ├── TraceContext.h # Context propagation utilities
│ ├── SpanGuard.h # RAII span management
│ └── SpanAttributes.h # Attribute helper functions
src/libxrpl/
├── telemetry/
│ ├── Telemetry.cpp # Implementation
│ ├── TelemetryConfig.cpp # Config parsing
│ ├── TraceContext.cpp # Context serialization
│ └── NullTelemetry.cpp # No-op implementation
src/xrpld/
├── telemetry/
│ ├── TracingInstrumentation.h # Instrumentation macros
│ └── TracingInstrumentation.cpp
```
---
## 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)
> **Measured outcome**: A perf-iac comparison (telemetry compiled-in + enabled vs compiled-out,
> 9 nodes — validators and client-handlers — under sustained payment load) recorded **no measurable
> RSS increase over the telemetry-off baseline** (~15 GiB mean / ~1819 GiB peak on both sides),
> with no OOM, no swap, and no leak across the run. The ~10 MB ceiling above is therefore a
> provisioning safety margin (dominated by virtual thread-stack address space), not an expected
> resident-memory increase. Steady-state cost shows up as throughput (~34% at head sampling 1.0),
> not memory.
### 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
Instrumentation is gated on two levels. A compile-time feature flag (`XRPL_ENABLE_TELEMETRY`) reduces the trace macros to no-ops when telemetry is built out, so disabled builds carry zero cost. At runtime, per-component guards (e.g. `shouldTracePeer()`) skip span creation for components whose tracing is turned off, incurring no overhead beyond a single boolean check.
---
## 3.8 Links to Detailed Documentation
- **[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** | 11 new files | ~980 | 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** | **~34 files** | **~1,670** | **~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 |
| `include/xrpl/telemetry/TelemetryConfig.h` | ~80 | Configuration structures |
| `include/xrpl/telemetry/TraceContext.h` | ~80 | Context propagation |
| `include/xrpl/telemetry/SpanGuard.h` | ~120 | RAII wrapper |
| `include/xrpl/telemetry/SpanAttributes.h` | ~60 | Attribute helpers |
| `src/libxrpl/telemetry/Telemetry.cpp` | ~200 | Implementation |
| `src/libxrpl/telemetry/TelemetryConfig.cpp` | ~60 | Config parsing |
| `src/libxrpl/telemetry/TraceContext.cpp` | ~80 | Context serialization |
| `src/libxrpl/telemetry/NullTelemetry.cpp` | ~40 | No-op implementation |
| `src/xrpld/telemetry/TracingInstrumentation.h` | ~60 | Macros |
| `src/xrpld/telemetry/TracingInstrumentation.cpp` | ~40 | Instrumentation impl |
#### 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):** Instrumenting an RPC handler adds roughly 3-4 lines: one macro to start the span and one or two `setAttribute` calls (command name, status). The span ends automatically via RAII, so the existing control flow — process the request, send the result — is untouched.
**Consensus Instrumentation (Medium Intrusiveness):** Consensus is slightly more intrusive because child spans in later phase transitions need the round's context. Beyond the span-start and attribute macros, this requires storing the active context in a new member variable (`currentRoundContext_`) at round start. The existing round logic itself remains unchanged.
---
_Previous: [Design Decisions](./02-design-decisions.md)_ | _Next: [Configuration Reference](./05-configuration-reference.md)_ | _Back to: [Overview](./OpenTelemetryPlan.md)_

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@@ -1,265 +0,0 @@
# Configuration Reference
> **Parent Document**: [OpenTelemetryPlan.md](./OpenTelemetryPlan.md)
> **Related**: [Implementation Phases](./06-implementation-phases.md)
---
## 5.1 xrpld Configuration
> **OTLP** = OpenTelemetry Protocol | **TxQ** = Transaction Queue
### 5.1.1 Configuration File Section
The authoritative `[telemetry]` example lives in `cfg/xrpld-example.cfg`. Telemetry is disabled by default (`enabled=0`); enabling it turns on distributed tracing for transaction flow, consensus, and RPC calls, with traces exported to an OpenTelemetry Collector over OTLP. Head sampling is intentionally fixed at 1.0 (sample everything) and is not configurable — per-node head-sampling would produce broken/partial distributed traces, so volume reduction is delegated to the collector's tail sampling (see Section 7.4.2). The full option reference follows.
### 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 |
| `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 | `true` | 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 |
| `consensus_trace_strategy` | Phase 4 | Trace ID strategy for consensus rounds (`deterministic` \| `attribute`) |
---
## 5.2 Configuration Parser
> **TxQ** = Transaction Queue
The parser `setup_Telemetry()` in `src/libxrpl/telemetry/TelemetryConfig.cpp` reads the `[telemetry]` `Section` and populates a `Telemetry::Setup` struct, applying the defaults listed in Section 5.1.2 via `section.value_or(...)`. It derives `serviceInstanceId` from the node public key when not overridden, selects the exporter endpoint default by exporter type, and leaves the sampling ratio at its fixed 1.0 default (not read from config — see Section 7.4.2).
---
## 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()`.
`ApplicationImp` (in `src/xrpld/app/main/Application.cpp`) owns a `std::unique_ptr<telemetry::Telemetry> telemetry_`. It is built in the member initializer list via `make_Telemetry(setup_Telemetry(...))` with an empty `serviceInstanceId`, then patched in `setup()` by calling `setServiceInstanceId()` with the Base58 node public key (unless the user supplied a custom `service_instance_id`). `start()` and `run()` forward to `telemetry_->start()` / `telemetry_->stop()`, and `getTelemetry()` returns the owned instance.
### 5.3.2 ServiceRegistry Interface Addition
`include/xrpl/core/ServiceRegistry.h` gains a pure-virtual `telemetry::Telemetry& getTelemetry()` (with a forward declaration of `telemetry::Telemetry`), giving every component a uniform accessor for the tracing subsystem.
> **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
A `cmake/FindOpenTelemetry.cmake` module locates the OpenTelemetry C++ SDK. It first tries `find_package(opentelemetry-cpp CONFIG)`, aliasing the imported targets `OpenTelemetry::api`, `OpenTelemetry::sdk`, and `OpenTelemetry::otlp_grpc_exporter`, and falls back to `pkg-config` when no CMake config package is present.
### 5.4.2 CMakeLists.txt Changes
The top-level `CMakeLists.txt` adds an `XRPL_ENABLE_TELEMETRY` option (default `OFF`). When enabled, it runs `find_package(OpenTelemetry REQUIRED)`, defines the `XRPL_ENABLE_TELEMETRY` compile flag, and builds the `xrpl_telemetry` library from the real telemetry sources linked against the OpenTelemetry targets; when disabled, it builds the same target from a no-op `NullTelemetry.cpp` so call sites compile unchanged.
---
## 5.5 OpenTelemetry Collector Configuration
> **OTLP** = OpenTelemetry Protocol | **APM** = Application Performance Monitoring
The authoritative collector config lives in the repo at `docker/telemetry/otel-collector-config.yaml` (with Tempo backend config in `docker/telemetry/tempo.yaml`). The sections below summarize the development and production shapes of that pipeline.
### 5.5.1 Development Configuration
The development collector enables an OTLP receiver on both gRPC (`0.0.0.0:4317`) and HTTP (`0.0.0.0:4318`), a single `batch` processor (1s timeout, batch size 100), and two exporters: a `logging` exporter for console debugging and `otlp/tempo` (insecure) for trace visualization. The single `traces` pipeline wires receiver → batch → both exporters.
### 5.5.2 Production Configuration
The production collector adds TLS on the OTLP gRPC receiver and a richer processor chain: a `memory_limiter` (OOM guard), `batch` (5s timeout, size 512), `tail_sampling`, and an `attributes` processor that hashes sensitive fields (e.g. `tx_account`) and stamps `deployment.environment`. Tail sampling keeps all `ERROR` traces, slow consensus rounds (>5s) and slow RPC requests (>1s), and probabilistically samples the remainder at 10%. Exporters target Grafana Tempo (TLS) and Elastic APM; `health_check` and `zpages` extensions are enabled for operability.
---
## 5.6 Docker Compose Development Environment
> **OTLP** = OpenTelemetry Protocol
The authoritative development stack lives in the repo at `docker/telemetry/docker-compose.yml`. It brings up four services on a shared `xrpld-telemetry` network: an `otel-collector` (otel/opentelemetry-collector-contrib) exposing OTLP gRPC `4317`, OTLP HTTP `4318`, and health check `13133`; `tempo` for trace storage/visualization; `grafana` with provisioned datasources and dashboards (anonymous admin enabled); and an optional `prometheus` for metric correlation.
---
## 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)
A Tempo datasource (`grafana/provisioning/datasources/tempo.yaml`, provisioned from `docker/telemetry/grafana/`) points at `http://tempo:3200` and enables `tracesToLogs` (linking to Loki on `service.name`/`tx_hash` and mapping `trace_id``traceID`), `serviceMap` against Prometheus, the node graph, and Loki search.
#### Elastic APM
Alternatively, an Elasticsearch datasource (`grafana/provisioning/datasources/elastic-apm.yaml`) of type `elasticsearch` points at `http://elasticsearch:9200` against the `apm-*` index, using `@timestamp` as the time field and mapping the log message/level fields.
### 5.8.2 Dashboard Provisioning
A dashboard provider (`grafana/provisioning/dashboards/dashboards.yaml`) loads the `xrpld` dashboard folder from disk (`/var/lib/grafana/dashboards/rippled`), polling for changes every 30s with deletion disabled.
### 5.8.3 Example Dashboard: RPC Performance
An example `xrpld RPC Performance` dashboard (uid `xrpld-rpc-performance`) sourced from Tempo via TraceQL provides four panels: RPC latency by command (heatmap), RPC error rate by command (timeseries), the top 10 slowest RPC commands by average duration (table), and a recent-traces table.
### 5.8.4 Example Dashboard: Transaction Tracing
An example `xrpld Transaction Tracing` dashboard (uid `xrpld-tx-tracing`) over Tempo provides three panels: transaction throughput (`tx.receive` rate, stat), cross-node relay count (average `span.relay_count` on `tx.relay`, timeseries), and a table of transaction validation errors (`tx.validate` with `status.code=error`).
### 5.8.5 TraceQL Query Examples
Common queries for xrpld traces:
```
# Find all traces for a specific transaction hash
{resource.service.name="xrpld" && span.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.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**
Configure a Promtail scrape job (`promtail-config.yaml`) that tails `/var/log/rippled/perf*.log`, parses each JSON line, and promotes `trace_id`, `ledger_seq`, and `tx_hash` to Loki labels.
**Step 2: Add trace_id to PerfLog entries**
Modify PerfLog so its JSON output includes a `trace_id` field whenever a valid span is active: fetch the current span from the OpenTelemetry runtime context, and if its context is valid, render the trace ID as a 32-character lowercase hex string into the log entry.
**Step 3: Configure Grafana trace-to-logs link**
In the Tempo datasource, set the `tracesToLogs` derived field to link to Loki on the `trace_id` and `tx_hash` tags, with `filterByTraceID: true`.
### 5.8.7 Correlation with Insight/StatsD Metrics
To correlate traces with existing Beast Insight metrics:
**Step 1: Export Insight metrics to Prometheus**
Add a Prometheus scrape job (`prometheus.yaml`) named `xrpld-statsd` targeting the StatsD exporter at `statsd-exporter:9102`.
**Step 2: Add exemplars to metrics**
The OpenTelemetry SDK automatically adds exemplars (trace IDs) to metrics when using the Prometheus exporter, linking metric spikes to specific traces.
**Step 3: Configure Grafana metric-to-trace link**
In the Prometheus datasource, set `exemplarTraceIdDestinations` to map the `trace_id` exemplar to the Tempo datasource.
**Step 4: Dashboard panel with exemplars**
Add a timeseries panel over Prometheus (e.g. `histogram_quantile(0.99, rate(xrpld_rpc_duration_seconds_bucket[5m]))`) with `exemplar: true` enabled.
This allows clicking on metric data points to jump directly to the related trace.
---
_Previous: [Implementation Strategy](./03-implementation-strategy.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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@@ -1,407 +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/>fixed at 100%<br/>not configurable]
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)**: xrpld pins head sampling at 100% (sample everything) and does not expose a configurable ratio. This is intentional: a per-node ratio would let different nodes make divergent keep/drop decisions for the same distributed trace, producing broken/partial traces. xrpld uses a `ParentBased` sampler so spans inheriting a remote parent honor the upstream decision. Volume reduction is delegated to the collector's tail sampling.
- **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
A Tempo-backed dashboard (uid `xrpld-consensus-health`) with four panels, all driven by TraceQL:
- **Consensus Round Duration** (timeseries, ms): average `consensus.round` span duration per node instance, with yellow/red thresholds at 4s/5s.
- **Phase Duration Breakdown** (barchart): average duration of `consensus.phase.*` spans grouped by span name.
- **Proposers per Round** (stat): average of the `span.proposers` attribute on `consensus.round` spans.
- **Recent Slow Rounds (>5s)** (table): `consensus.round` spans filtered to `duration > 5s`.
The underlying TraceQL queries are listed in section 7.7.3 and used throughout this doc.
### 7.6.2 Node Overview Dashboard
A Tempo-backed dashboard (uid `xrpld-node-overview`) with four panels:
- **Active Nodes** (stat): count of distinct `resource.service.instance.id` values seen for the `xrpld` service.
- **Total Transactions (1h)** (stat): count of `tx.receive` spans.
- **Error Rate** (gauge, percent): ratio of `status.code=error` spans to all spans, with yellow/red thresholds at 1%/5%.
- **Service Map** (nodeGraph): Tempo-generated service dependency graph.
### 7.6.3 Alert Rules
Grafana provisions three TraceQL-based alert rules (group `xrpld-tracing-alerts`, evaluated every 1m) against the Tempo datasource:
- **Consensus Round Slow** (warning, `for: 5m`): fires when average `consensus.round` duration exceeds 5s.
```
{resource.service.name="xrpld" && name="consensus.round"} | avg(duration) > 5s
```
- **RPC Error Rate Spike** (critical, `for: 2m`): fires when the error rate across `rpc.command.*` spans exceeds 5%. Error _rate_ is a ratio, so it must divide the error-span rate by the total-span rate — a single TraceQL `rate()` returns spans/second, not a percentage, and would fire on traffic volume alone. This uses span metrics emitted by the collector's `spanmetrics` connector (Prometheus datasource), not a TraceQL query:
```
sum(rate(calls_total{service_name="xrpld", span_name=~"rpc.command.*", status_code="STATUS_CODE_ERROR"}[5m]))
/
sum(rate(calls_total{service_name="xrpld", span_name=~"rpc.command.*"}[5m]))
> 0.05
```
- **Transaction Throughput Drop** (warning, `for: 10m`): fires when the `tx.receive` span rate falls below 10/s.
```
{resource.service.name="xrpld" && name="tx.receive"} | rate() < 10
```
> **Note**: The Consensus Round Slow and Transaction Throughput Drop rules use TraceQL aggregates (`avg(duration)`, `rate()`), which require Tempo 2.3+ with TraceQL metrics enabled. Verify aggregate query support in your Tempo version before provisioning. The RPC Error Rate Spike rule instead queries Prometheus span metrics (collector `spanmetrics` connector), so it needs that connector enabled in the collector pipeline.
---
## 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`, `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** | `tx_hash` | Logs, Metrics | Find TX-related data |
| **Trace** | `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.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
A single dashboard (uid `xrpld-unified`) that ties traces, metrics, and logs together across the Tempo, Prometheus, and Loki datasources:
- **Transaction Latency (Traces)** (timeseries, Tempo): `histogram_over_time(duration)` of `tx.receive` spans.
- **Transaction Rate (Metrics)** (timeseries, Prometheus): `rate(xrpld_tx_received_total[5m])` per instance, with a data link that opens the matching `tx.receive` traces in Tempo.
- **Recent Logs** (logs, Loki): `{job="xrpld"} | json`.
- **Trace Search** (table, Tempo): all `xrpld` traces, with per-row data links on `traceID` that jump to the trace in Tempo and to the correlated logs in Loki (`{job="xrpld"} |= "<traceID>"`).
The cross-datasource data links are what make this a single-pane debugging view; the correlation fields they rely on are listed in section 7.7.2.
---
_Previous: [Implementation Phases](./06-implementation-phases.md)_ | _Next: [Appendix](./08-appendix.md)_ | _Back to: [Overview](./OpenTelemetryPlan.md)_

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@@ -1,193 +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 |
| [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 |
### Task Lists
| Document | Description |
| ------------------------------------ | --------------------------------------------------- |
| [presentation.md](./presentation.md) | Presentation slides for OpenTelemetry plan overview |
---
_Previous: [Observability Backends](./07-observability-backends.md)_ | _Back to: [Overview](./OpenTelemetryPlan.md)_

View File

@@ -1,199 +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 | <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 |
---
## 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"]
config["05-configuration-reference.md"]
end
subgraph deploy["Deployment & Planning"]
phases["06-implementation-phases.md"]
backends["07-observability-backends.md"]
appendix["08-appendix.md"]
end
overview --> fundamentals
overview --> analysis
overview --> impl
overview --> deploy
fund --> arch
arch --> design
design --> strategy
strategy --> config
config --> phases
phases --> backends
backends --> appendix
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 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
```
</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 |
| **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 |
---
## 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`, conditional compilation with `XRPL_ENABLE_TELEMETRY`, and minimal runtime overhead through batch processing and efficient sampling.
Performance optimization strategies include head sampling fixed at 100% (intentionally not configurable, so trace keep/drop decisions stay coherent across nodes), tail-based sampling at the collector for errors and slow traces to reduce volume, batch export to reduce network overhead, and conditional instrumentation that compiles to no-ops when disabled.
➡️ **[Read full Implementation Strategy](./03-implementation-strategy.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)**
---
_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._

View File

@@ -1,682 +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/HTTP| 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/HTTP 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.
> **Measured (perf-iac, telemetry on vs off, 9 nodes under payment load)**: the ~10 MB
> above is a theoretical SDK-footprint ceiling, dominated by virtual (not resident) thread-stack
> memory. In practice, per-node RSS showed **no measurable increase over the telemetry-off
> baseline** (~15 GiB mean / ~1819 GiB peak on both sides), with no OOM, swap, or leak over the
> run. Treat memory overhead as negligible; the ceiling is a provisioning safety margin, not an
> expected increase.
**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/>fixed 1.0 (record all)"] --> 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). In xrpld the ratio is fixed at 1.0 and not read from config (tail sampling in the collector needs every span) the example below shows the general head-sampling mechanism. |
| **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]
# xrpld fixes head sampling at 1.0 (record every trace). This value is
# NOT read from config — the collector performs tail sampling instead,
# which needs all spans to arrive. See Slide 9 (tail sampling) and §7.4.2.
sampling_ratio=1.0
```
### 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** | Fixed at `1.0` in xrpld (not config-read) | `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. xrpld's head sampling is fixed at 1.0 and not configurable, because tail sampling can only see traces that reach the Collector — any head drop would blind the error/slow policies. To reduce volume, tune the Collector's tail-sampling rules rather than adding head sampling.
---
## 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** | `consensus_round`, `consensus_phase`, `consensus_mode`, `proposers` (count of proposing validators), `round_time_ms` | Analyze consensus timing |
| **RPC** | `command`, `version`, `rpc_status`, `duration_ms` | Monitor RPC performance |
| **Peer** | `peer_id`(public key), `peer_latency_ms`, `message_type`, `message_size_bytes` | Network topology analysis |
| **Ledger** | `ledger_hash`, `ledger_index`, `close_time`, `ledger_tx_count` | Ledger progression tracking |
| **Job** | `job_type`, `job_queue_ms`, `job_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** | `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_

22
cmake/XrplAddTest.cmake Normal file
View File

@@ -0,0 +1,22 @@
include(isolate_headers)
function(xrpl_add_test name)
set(target ${PROJECT_NAME}.test.${name})
file(
GLOB_RECURSE sources
CONFIGURE_DEPENDS
"${CMAKE_CURRENT_SOURCE_DIR}/${name}/*.cpp"
"${CMAKE_CURRENT_SOURCE_DIR}/${name}.cpp"
)
add_executable(${target} ${ARGN} ${sources})
isolate_headers(
${target}
"${CMAKE_SOURCE_DIR}"
"${CMAKE_SOURCE_DIR}/tests/${name}"
PRIVATE
)
add_test(NAME ${target} COMMAND ${target})
endfunction()

View File

@@ -145,39 +145,13 @@ else()
INTERFACE
-rdynamic
$<$<BOOL:${is_linux}>:-Wl,-z,relro,-z,now,--build-id>
# link to static libc/c++ if:
# * static option set and
# * NOT APPLE (AppleClang does not support static libc/c++)
$<$<AND:$<BOOL:${static}>,$<NOT:$<BOOL:${APPLE}>>>:
# link to static libc/c++ iff: * static option set and * NOT APPLE (AppleClang does not support static
# libc/c++) and * NOT SANITIZERS (sanitizers typically don't work with static libc/c++)
$<$<AND:$<BOOL:${static}>,$<NOT:$<BOOL:${APPLE}>>,$<NOT:$<BOOL:${SANITIZERS_ENABLED}>>>:
-static-libstdc++
-static-libgcc
>
)
# Keep -stdlib=libstdc++ off the compile commands, but preserve it for linking.
#
# Conan turns `compiler.libcxx=libstdc++` into `-stdlib=libstdc++` and puts it in
# CMAKE_CXX_FLAGS, which CMake passes to BOTH compile and link steps. On a normal Clang
# the compile step consumes it while choosing the C++ stdlib include paths. The Nixpkgs
# Clang wrapper supplies those paths itself (via -nostdinc++), so at compile time the
# flag is unused -> Clang errors under our -Werror. At link time the flag IS consumed
# (it selects the C++ runtime), so we move it there instead of dropping it entirely.
get_filename_component(_cxx_real "${CMAKE_CXX_COMPILER}" REALPATH)
if(
_cxx_real MATCHES "^/nix/store/"
AND is_linux
AND is_clang
AND CMAKE_CXX_FLAGS MATCHES "stdlib=libstdc"
)
string(
REPLACE "-stdlib=libstdc++"
""
CMAKE_CXX_FLAGS
"${CMAKE_CXX_FLAGS}"
)
string(STRIP "${CMAKE_CXX_FLAGS}" CMAKE_CXX_FLAGS)
add_link_options($<$<LINK_LANGUAGE:CXX>:-stdlib=libstdc++>)
endif()
endif()
# Antithesis instrumentation will only be built and deployed using machines running Linux.

View File

@@ -94,9 +94,6 @@ add_module(xrpl basics)
target_link_libraries(xrpl.libxrpl.basics PUBLIC xrpl.libxrpl.beast)
# Level 03
add_module(xrpl config)
target_link_libraries(xrpl.libxrpl.config PUBLIC xrpl.libxrpl.basics)
add_module(xrpl json)
target_link_libraries(xrpl.libxrpl.json PUBLIC xrpl.libxrpl.basics)
@@ -123,7 +120,6 @@ target_link_libraries(
xrpl.libxrpl.core
PUBLIC
xrpl.libxrpl.basics
xrpl.libxrpl.config
xrpl.libxrpl.json
xrpl.libxrpl.protocol
xrpl.libxrpl.protocol_autogen
@@ -147,11 +143,7 @@ target_link_libraries(
add_module(xrpl nodestore)
target_link_libraries(
xrpl.libxrpl.nodestore
PUBLIC
xrpl.libxrpl.basics
xrpl.libxrpl.config
xrpl.libxrpl.json
xrpl.libxrpl.protocol
PUBLIC xrpl.libxrpl.basics xrpl.libxrpl.json xrpl.libxrpl.protocol
)
add_module(xrpl shamap)
@@ -167,14 +159,13 @@ target_link_libraries(
add_module(xrpl rdb)
target_link_libraries(
xrpl.libxrpl.rdb
PUBLIC xrpl.libxrpl.basics xrpl.libxrpl.config xrpl.libxrpl.core
PUBLIC xrpl.libxrpl.basics xrpl.libxrpl.core
)
add_module(xrpl server)
target_link_libraries(
xrpl.libxrpl.server
PUBLIC
xrpl.libxrpl.config
xrpl.libxrpl.protocol
xrpl.libxrpl.core
xrpl.libxrpl.rdb
@@ -219,7 +210,6 @@ target_link_modules(
basics
beast
conditions
config
core
crypto
git

View File

@@ -47,7 +47,7 @@ setup_target_for_coverage_gcovr(
"include/xrpl/beast/test"
"include/xrpl/beast/unit_test"
"${CMAKE_BINARY_DIR}/pb-xrpl.libpb"
DEPENDENCIES xrpld xrpl_tests
DEPENDENCIES xrpld xrpl.tests
)
add_code_coverage_to_target(opts INTERFACE)

View File

@@ -33,7 +33,7 @@ public:
* @brief Construct a ${name} ledger entry wrapper from an existing SLE object.
* @throws std::runtime_error if the ledger entry type doesn't match.
*/
explicit ${name}(SLE::const_pointer sle)
explicit ${name}(std::shared_ptr<SLE const> sle)
: LedgerEntryBase(std::move(sle))
{
// Verify ledger entry type
@@ -168,7 +168,7 @@ ${field['typeData']['setter_type']} ${field['paramName']}${',' if i < len(requir
* @param sle The existing ledger entry to copy from.
* @throws std::runtime_error if the ledger entry type doesn't match.
*/
${name}Builder(SLE::const_pointer sle)
${name}Builder(std::shared_ptr<SLE const> sle)
{
if (sle->at(sfLedgerEntryType) != ${tag})
{

View File

@@ -2,7 +2,7 @@
arch=x86_64
build_type=Release
compiler=gcc
compiler.cppstd=23
compiler.cppstd=20
compiler.libcxx=libstdc++11
compiler.version=13
os=Linux

View File

@@ -2,7 +2,7 @@
arch=armv8
build_type=Release
compiler=apple-clang
compiler.cppstd=23
compiler.cppstd=20
compiler.libcxx=libc++
compiler.version=17.0
os=Macos

View File

@@ -2,7 +2,7 @@
arch=x86_64
build_type=Release
compiler=msvc
compiler.cppstd=23
compiler.cppstd=20
compiler.runtime=dynamic
compiler.runtime_type=Release
compiler.version=194

View File

@@ -1,8 +1 @@
{% set os = detect_api.detect_os() %}
include(sanitizers)
[conf]
{% if os == "Linux" %}
user.package:libc_version=2.31
tools.info.package_id:confs+=["user.package:libc_version"]
{% endif %}

View File

@@ -12,7 +12,7 @@ arch={{ arch }}
build_type=Debug
compiler={{compiler}}
compiler.version={{ compiler_version }}
compiler.cppstd=23
compiler.cppstd=20
{% if os == "Windows" %}
compiler.runtime=static
{% else %}

View File

@@ -52,50 +52,52 @@ include(default)
{% endif %}
{# Frame pointer required for meaningful stack traces; -O1 for reasonable performance #}
{% set sanitizer_compiler_flags = ["-fno-omit-frame-pointer", "-O1"] %}
{% set compile_flags = ["-fno-omit-frame-pointer", "-O1"] %}
{% if compiler == "gcc" %}
{# Suppress false positive warnings with GCC #}
{% set _ = sanitizer_compiler_flags.append("-Wno-stringop-overflow") %}
{% 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 _ = sanitizer_compiler_flags.append("-mcmodel=large") %}
{% 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 _ = sanitizer_compiler_flags.append("-Wno-tsan") %}
{% set _ = compile_flags.append("-Wno-tsan") %}
{% if arch == "x86_64" %}
{# Medium code model for TSAN; large is incompatible #}
{% set _ = sanitizer_compiler_flags.append("-mcmodel=medium") %}
{% set _ = compile_flags.append("-mcmodel=medium") %}
{% set _ = relocation_flags.append("-mcmodel=medium") %}
{% endif %}
{% endif %}
{% set fsanitize = "-fsanitize=" ~ ",".join(sanitizer_types) %}
{% set _ = sanitizer_compiler_flags.append(fsanitize) %}
{% set _ = compile_flags.append(fsanitize) %}
{% set _ = relocation_flags.append(fsanitize) %}
{% set sanitizer_linker_flags = relocation_flags %}
{% 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 _ = sanitizer_compiler_flags.append(fsanitize) %}
{% set _ = compile_flags.append(fsanitize) %}
{% set sanitizer_linker_flags = [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.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 | join(' ')}}", "SANITIZERS_LINKER_FLAGS": "{{sanitizer_linker_flags | join(' ')}}"}
&:tools.cmake.cmaketoolchain:extra_variables={"SANITIZERS": "{{sanitizers}}", "SANITIZERS_COMPILER_FLAGS": "{{sanitizer_compiler_flags}}", "SANITIZERS_LINKER_FLAGS": "{{sanitizer_linker_flags}}"}
[options]
{% if enable_asan %}

View File

@@ -50,7 +50,6 @@ words:
- AMMXRP
- amt
- amts
- archs
- asnode
- asynchrony
- attestation
@@ -66,7 +65,6 @@ words:
- Btrfs
- Buildx
- canonicality
- CGNAT
- changespq
- checkme
- choco
@@ -85,7 +83,6 @@ words:
- coro
- coros
- cowid
- cpack
- cryptocondition
- cryptoconditional
- cryptoconditions
@@ -119,8 +116,6 @@ words:
- fmtdur
- fsanitize
- funclets
- gantt
- Gantt
- gcov
- gcovr
- ghead
@@ -139,7 +134,6 @@ words:
- iou
- ious
- isrdc
- isystem
- itype
- jemalloc
- jlog
@@ -167,11 +161,12 @@ words:
- mathbunnyru
- mcmodel
- MEMORYSTATUSEX
- MPTAMM
- MPTDEX
- Merkle
- Metafuncton
- misprediction
- missingok
- MPTAMM
- mptbalance
- MPTDEX
- mptflags
@@ -205,7 +200,6 @@ words:
- nonxrp
- noreplace
- noripple
- nostd
- nostdinc
- notifempty
- nudb
@@ -214,7 +208,6 @@ words:
- Nyffenegger
- onlatest
- ostr
- otelc
- pargs
- partitioner
- paychan
@@ -237,10 +230,8 @@ words:
- pyenv
- pyparsing
- qalloc
- qbsprofile
- queuable
- Raphson
- rcflags
- replayer
- rerere
- retriable
@@ -294,7 +285,6 @@ words:
- takerpays
- ters
- TMEndpointv2
- traceql
- trixie
- tx
- txid
@@ -302,7 +292,6 @@ words:
- txjson
- txn
- txns
- txqueue
- txs
- ubsan
- UBSAN
@@ -350,5 +339,4 @@ words:
- xrplf
- xxhash
- xxhasher
- xychart
- zpages
- CGNAT

48
docker/check-sanitizers.sh Executable file
View File

@@ -0,0 +1,48 @@
#!/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

@@ -2,13 +2,6 @@
#include <cstddef>
#include <iostream>
// Regression test: the compiler-rt sanitizer interface headers must be on the
// include path. A bare on-PATH clang in the Nix CI env doesn't get them
// propagated automatically, so this include would fail to compile with clang++
// if the env isn't wired up correctly. abseil hits the same include during
// sanitizer builds. LeakSanitizer ships with AddressSanitizer.
#include <sanitizer/lsan_interface.h>
#if defined(__clang__) || defined(__GNUC__)
__attribute__((noinline))
#elif defined(_MSC_VER)

95
docker/nix.Dockerfile Normal file
View File

@@ -0,0 +1,95 @@
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

6
flake.lock generated
View File

@@ -2,11 +2,11 @@
"nodes": {
"nixpkgs": {
"locked": {
"lastModified": 1780749050,
"narHash": "sha256-3av0pIjlOWQ6rDbNOmpUSvbNnJkGORQKKjb4LtCZsIY=",
"lastModified": 1777954456,
"narHash": "sha256-hGdgeU2Nk87RAuZyYjyDjFL6LK7dAZN5RE9+hrDTkDU=",
"owner": "NixOS",
"repo": "nixpkgs",
"rev": "a799d3e3886da994fa307f817a6bc705ae538eeb",
"rev": "549bd84d6279f9852cae6225e372cc67fb91a4c1",
"type": "github"
},
"original": {

View File

@@ -0,0 +1,248 @@
#pragma once
#include <xrpl/basics/contract.h>
#include <boost/outcome.hpp>
#include <stdexcept>
namespace xrpl {
/** Expected is an approximation of std::expected (hoped for in C++23)
See: http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2021/p0323r10.html
The implementation is entirely based on boost::outcome_v2::result.
*/
// Exception thrown by an invalid access to Expected.
struct BadExpectedAccess : public std::runtime_error
{
BadExpectedAccess() : runtime_error("bad expected access")
{
}
};
namespace detail {
// Custom policy for Expected. Always throw on an invalid access.
struct ThrowPolicy : public boost::outcome_v2::policy::base
{
template <class Impl>
static constexpr void
// NOLINTNEXTLINE(readability-identifier-naming)
wide_value_check(Impl&& self)
{
if (!base::_has_value(std::forward<Impl>(self)))
Throw<BadExpectedAccess>();
}
template <class Impl>
static constexpr void
// NOLINTNEXTLINE(readability-identifier-naming)
wide_error_check(Impl&& self)
{
if (!base::_has_error(std::forward<Impl>(self)))
Throw<BadExpectedAccess>();
}
template <class Impl>
static constexpr void
// NOLINTNEXTLINE(readability-identifier-naming)
wide_exception_check(Impl&& self)
{
if (!base::_has_exception(std::forward<Impl>(self)))
Throw<BadExpectedAccess>();
}
};
} // namespace detail
// Definition of Unexpected, which is used to construct the unexpected
// return type of an Expected.
template <class E>
class Unexpected
{
public:
static_assert(!std::is_same_v<E, void>, "E must not be void");
Unexpected() = delete;
constexpr explicit Unexpected(E const& e) : val_(e)
{
}
constexpr explicit Unexpected(E&& e) : val_(std::move(e))
{
}
[[nodiscard]] constexpr E const&
value() const&
{
return val_;
}
constexpr E&
value() &
{
return val_;
}
constexpr E&&
value() &&
{
return std::move(val_);
}
[[nodiscard]] constexpr E const&&
value() const&&
{
return std::move(val_);
}
private:
E val_;
};
// Unexpected deduction guide that converts array to const*.
template <typename E, std::size_t N>
Unexpected(E (&)[N]) -> Unexpected<E const*>;
// Definition of Expected. All of the machinery comes from boost::result.
template <class T, class E>
class [[nodiscard]] Expected : private boost::outcome_v2::result<T, E, detail::ThrowPolicy>
{
using Base = boost::outcome_v2::result<T, E, detail::ThrowPolicy>;
public:
template <typename U>
requires std::convertible_to<U, T>
constexpr Expected(U&& r) : Base(boost::outcome_v2::in_place_type_t<T>{}, std::forward<U>(r))
{
}
template <typename U>
requires std::convertible_to<U, E> && (!std::is_reference_v<U>)
constexpr Expected(Unexpected<U> e)
: Base(boost::outcome_v2::in_place_type_t<E>{}, std::move(e.value()))
{
}
[[nodiscard]] constexpr bool
// NOLINTNEXTLINE(readability-identifier-naming)
has_value() const
{
return Base::has_value();
}
[[nodiscard]] constexpr T const&
value() const
{
return Base::value();
}
constexpr T&
value()
{
return Base::value();
}
[[nodiscard]] constexpr E const&
error() const&
{
return Base::error();
}
[[nodiscard]] constexpr E&
error() &
{
return Base::error();
}
[[nodiscard]] constexpr E&&
error() &&
{
return std::move(Base::error());
}
constexpr explicit
operator bool() const
{
return has_value();
}
// Add operator* and operator-> so the Expected API looks a bit more like
// what std::expected is likely to look like. See:
// http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2021/p0323r10.html
[[nodiscard]] constexpr T&
operator*()
{
return this->value();
}
[[nodiscard]] constexpr T const&
operator*() const
{
return this->value();
}
[[nodiscard]] constexpr T*
operator->()
{
return &this->value();
}
[[nodiscard]] constexpr T const*
operator->() const
{
return &this->value();
}
};
// Specialization of Expected<void, E>. Allows returning either success
// (without a value) or the reason for the failure.
template <class E>
class [[nodiscard]]
Expected<void, E> : private boost::outcome_v2::result<void, E, detail::ThrowPolicy>
{
using Base = boost::outcome_v2::result<void, E, detail::ThrowPolicy>;
public:
// The default constructor makes a successful Expected<void, E>.
// This aligns with std::expected behavior proposed in P0323R10.
constexpr Expected() : Base(boost::outcome_v2::success())
{
}
template <typename U>
requires std::convertible_to<U, E> && (!std::is_reference_v<U>)
constexpr Expected(Unexpected<U> e) : Base(E(std::move(e.value())))
{
}
[[nodiscard]] constexpr E const&
error() const&
{
return Base::error();
}
[[nodiscard]] constexpr E&
error() &
{
return Base::error();
}
[[nodiscard]] constexpr E&&
error() &&
{
return std::move(Base::error());
}
constexpr explicit
operator bool() const
{
return Base::has_value();
}
};
} // namespace xrpl

View File

@@ -11,7 +11,6 @@
#include <cstdint>
#include <optional>
#include <string>
#include <string_view>
#include <type_traits>
namespace xrpl {
@@ -96,7 +95,13 @@ strUnHex(std::size_t strSize, Iterator begin, Iterator end)
}
inline std::optional<Blob>
strUnHex(std::string_view strSrc)
strUnHex(std::string const& strSrc)
{
return strUnHex(strSrc.size(), strSrc.cbegin(), strSrc.cend());
}
inline std::optional<Blob>
strViewUnHex(std::string_view strSrc)
{
return strUnHex(strSrc.size(), strSrc.cbegin(), strSrc.cend());
}

View File

@@ -157,7 +157,7 @@ public:
/** Fetch an item from the cache.
If the digest was not found, Handler
will be called with this signature:
SLE::const_pointer(void)
std::shared_ptr<SLE const>(void)
*/
template <class Handler>
SharedPointerType

View File

@@ -36,7 +36,6 @@
#include <cstdint>
#include <string>
#include <string_view>
namespace xrpl {
@@ -44,7 +43,7 @@ std::string
base64Encode(std::uint8_t const* data, std::size_t len);
inline std::string
base64Encode(std::string_view s)
base64Encode(std::string const& s)
{
return base64Encode(reinterpret_cast<std::uint8_t const*>(s.data()), s.size());
}

View File

@@ -5,6 +5,7 @@
#pragma once
#include <xrpl/basics/Expected.h>
#include <xrpl/basics/Slice.h>
#include <xrpl/basics/contract.h>
#include <xrpl/basics/hardened_hash.h>
@@ -19,7 +20,6 @@
#include <algorithm>
#include <array>
#include <cstring>
#include <expected>
#include <type_traits>
namespace xrpl {
@@ -177,7 +177,7 @@ private:
BadChar,
};
constexpr std::expected<decltype(data_), ParseResult>
constexpr Expected<decltype(data_), ParseResult>
parseFromStringView(std::string_view sv) noexcept
{
// Local lambda that converts a single hex char to four bits and
@@ -216,7 +216,7 @@ private:
}
if (sv.size() != size() * 2)
return std::unexpected(ParseResult::BadLength);
return Unexpected(ParseResult::BadLength);
std::size_t i = 0u;
auto in = sv.begin();
@@ -227,7 +227,7 @@ private:
{
if (auto const result = hexCharToUInt(*in++, shift, accum);
result != ParseResult::Okay)
return std::unexpected(result);
return Unexpected(result);
}
ret[i++] = accum;
}

View File

@@ -1,13 +1,12 @@
#pragma once
#include <string>
#include <string_view>
namespace xrpl {
template <class Stream, class Iter>
Stream&
join(Stream& s, Iter iter, Iter end, std::string_view delimiter)
join(Stream& s, Iter iter, Iter end, std::string const& delimiter)
{
if (iter == end)
return s;

View File

@@ -1,29 +0,0 @@
#pragma once
#if XRPL_ROCKSDB_AVAILABLE
// #include <rocksdb2/port/port_posix.h>
#include <rocksdb/cache.h>
#include <rocksdb/compaction_filter.h>
#include <rocksdb/comparator.h>
#include <rocksdb/convenience.h>
#include <rocksdb/db.h>
#include <rocksdb/env.h>
#include <rocksdb/filter_policy.h>
#include <rocksdb/flush_block_policy.h>
#include <rocksdb/iterator.h>
#include <rocksdb/memtablerep.h>
#include <rocksdb/merge_operator.h>
#include <rocksdb/options.h>
#include <rocksdb/perf_context.h>
#include <rocksdb/slice.h>
#include <rocksdb/slice_transform.h>
#include <rocksdb/statistics.h>
#include <rocksdb/status.h>
#include <rocksdb/table.h>
#include <rocksdb/table_properties.h>
#include <rocksdb/transaction_log.h>
#include <rocksdb/types.h>
#include <rocksdb/universal_compaction.h>
#include <rocksdb/write_batch.h>
#endif

View File

@@ -7,11 +7,8 @@
#include <array>
#include <cstddef>
#include <cstdint>
#include <cstring>
#include <new>
#include <optional>
#include <span>
#include <type_traits>
namespace beast {

View File

@@ -3,7 +3,6 @@
#include <xrpl/beast/insight/CounterImpl.h>
#include <memory>
#include <utility>
namespace beast::insight {
@@ -30,7 +29,7 @@ public:
factory function in the Collector interface.
@see Collector.
*/
explicit Counter(std::shared_ptr<CounterImpl> impl) : impl_(std::move(impl))
explicit Counter(std::shared_ptr<CounterImpl> const& impl) : impl_(impl)
{
}

View File

@@ -4,7 +4,6 @@
#include <chrono>
#include <memory>
#include <utility>
namespace beast::insight {
@@ -32,7 +31,7 @@ public:
factory function in the Collector interface.
@see Collector.
*/
explicit Event(std::shared_ptr<EventImpl> impl) : impl_(std::move(impl))
explicit Event(std::shared_ptr<EventImpl> const& impl) : impl_(impl)
{
}

View File

@@ -3,7 +3,6 @@
#include <xrpl/beast/insight/GaugeImpl.h>
#include <memory>
#include <utility>
namespace beast::insight {
@@ -32,7 +31,7 @@ public:
factory function in the Collector interface.
@see Collector.
*/
explicit Gauge(std::shared_ptr<GaugeImpl> impl) : impl_(std::move(impl))
explicit Gauge(std::shared_ptr<GaugeImpl> const& impl) : impl_(impl)
{
}

View File

@@ -3,7 +3,6 @@
#include <xrpl/beast/insight/HookImpl.h>
#include <memory>
#include <utility>
namespace beast::insight {
@@ -21,7 +20,7 @@ public:
factory function in the Collector interface.
@see Collector.
*/
explicit Hook(std::shared_ptr<HookImpl> impl) : impl_(std::move(impl))
explicit Hook(std::shared_ptr<HookImpl> const& impl) : impl_(impl)
{
}

View File

@@ -3,7 +3,6 @@
#include <xrpl/beast/insight/MeterImpl.h>
#include <memory>
#include <utility>
namespace beast::insight {
@@ -29,7 +28,7 @@ public:
factory function in the Collector interface.
@see Collector.
*/
explicit Meter(std::shared_ptr<MeterImpl> impl) : impl_(std::move(impl))
explicit Meter(std::shared_ptr<MeterImpl> const& impl) : impl_(impl)
{
}

View File

@@ -41,7 +41,7 @@ private:
public:
template <class = void>
explicit Selector(ModeT mode, std::string pattern = "");
explicit Selector(ModeT mode, std::string const& pattern = "");
template <class = void>
bool
@@ -51,9 +51,9 @@ public:
//------------------------------------------------------------------------------
template <class>
Selector::Selector(ModeT mode, std::string pattern) : mode_(mode), pat_(std::move(pattern))
Selector::Selector(ModeT mode, std::string const& pattern) : mode_(mode), pat_(pattern)
{
if (mode_ == ModeT::Automatch && pat_.empty())
if (mode_ == ModeT::Automatch && pattern.empty())
mode_ = ModeT::All;
}

View File

@@ -11,8 +11,6 @@
// Macros below are copied from antithesis_sdk.h and slightly simplified
// The duplication is because Visual Studio 2019 cannot compile that header
// even with the option -Zc:__cplusplus added.
// NOTE: cond must not contain bare commas outside () or []. Commas inside {}
// are not protected by the preprocessor and would be parsed as extra arguments.
#define ALWAYS(cond, message, ...) assert((message) && (cond))
#define ALWAYS_OR_UNREACHABLE(cond, message) assert((message) && (cond))
#define SOMETIMES(cond, message, ...)
@@ -24,8 +22,6 @@
#define XRPL_ASSERT_PARTS(cond, function, description, ...) \
XRPL_ASSERT(cond, function " : " description)
#define XRPL_ASSERT_IF(guard, cond, message) XRPL_ASSERT(!(guard) || (cond), message)
// How to use the instrumentation macros:
//
// * XRPL_ASSERT if cond must be true but the line might not be reached during
@@ -33,14 +29,6 @@
// * XRPL_ASSERT_PARTS is for convenience, and works like XRPL_ASSERT, but
// splits the message param into "function" and "description", then joins
// them with " : " before passing to XRPL_ASSERT.
// * XRPL_ASSERT_IF(guard, cond, message) asserts the implication
// `guard => cond`: it can only fail when guard is true (e.g. an amendment
// is enabled) and cond is false. Unlike `if (guard) XRPL_ASSERT(...)`, the
// assertion site is always evaluated, so the fuzzer registers it
// unconditionally; cond itself is short-circuited and only evaluated when
// guard is true. NOTE: do not rely on side effects in guard — in release
// builds the assertion body is stripped, and the compiler may optimize away
// a side-effect-free guard entirely.
// * ALWAYS if cond must be true _and_ the line must be reached during fuzzing.
// Same like `assert` in normal use.
// * REACHABLE if the line must be reached during fuzzing

View File

@@ -1,180 +0,0 @@
#pragma once
namespace xrpl {
struct Sections
{
static constexpr auto kAmendments = "amendments";
static constexpr auto kAmendmentMajorityTime = "amendment_majority_time";
static constexpr auto kBetaRpcApi = "beta_rpc_api";
static constexpr auto kClusterNodes = "cluster_nodes";
static constexpr auto kCompression = "compression";
static constexpr auto kCrawl = "crawl";
static constexpr auto kDatabasePath = "database_path";
static constexpr auto kDebugLogfile = "debug_logfile";
static constexpr auto kElbSupport = "elb_support";
static constexpr auto kFeatures = "features";
static constexpr auto kFeeDefault = "fee_default";
static constexpr auto kFetchDepth = "fetch_depth";
static constexpr auto kHashrouter = "hashrouter";
static constexpr auto kImportNodeDatabase = "import_db";
static constexpr auto kInsight = "insight";
static constexpr auto kIoWorkers = "io_workers";
static constexpr auto kIps = "ips";
static constexpr auto kIpsFixed = "ips_fixed";
static constexpr auto kLedgerHistory = "ledger_history";
static constexpr auto kLedgerReplay = "ledger_replay";
static constexpr auto kLedgerTxTables = "ledger_tx_tables";
static constexpr auto kMaxTransactions = "max_transactions";
static constexpr auto kNetworkId = "network_id";
static constexpr auto kNetworkQuorum = "network_quorum";
static constexpr auto kNodeDatabase = "node_db";
static constexpr auto kNodeSeed = "node_seed";
static constexpr auto kNodeSize = "node_size";
static constexpr auto kOverlay = "overlay";
static constexpr auto kPathSearch = "path_search";
static constexpr auto kPathSearchFast = "path_search_fast";
static constexpr auto kPathSearchMax = "path_search_max";
static constexpr auto kPathSearchOld = "path_search_old";
static constexpr auto kPeerPrivate = "peer_private";
static constexpr auto kPeersInMax = "peers_in_max";
static constexpr auto kPeersMax = "peers_max";
static constexpr auto kPeersOutMax = "peers_out_max";
static constexpr auto kPerf = "perf";
static constexpr auto kPortGrpc = "port_grpc";
static constexpr auto kPortPeer = "port_peer";
static constexpr auto kPortRpc = "port_rpc";
static constexpr auto kPortWs = "port_ws";
static constexpr auto kPortWssAdmin = "port_wss_admin";
static constexpr auto kPrefetchWorkers = "prefetch_workers";
static constexpr auto kReduceRelay = "reduce_relay";
static constexpr auto kRelationalDb = "relational_db";
static constexpr auto kRelayProposals = "relay_proposals";
static constexpr auto kRelayValidations = "relay_validations";
static constexpr auto kRpcStartup = "rpc_startup";
static constexpr auto kServer = "server";
static constexpr auto kServerDomain = "server_domain";
static constexpr auto kSigningSupport = "signing_support";
static constexpr auto kSntp = "sntp_servers";
static constexpr auto kSqdb = "sqdb";
static constexpr auto kSqlite = "sqlite";
static constexpr auto kSslVerify = "ssl_verify";
static constexpr auto kSslVerifyDir = "ssl_verify_dir";
static constexpr auto kSslVerifyFile = "ssl_verify_file";
static constexpr auto kSweepInterval = "sweep_interval";
static constexpr auto kTransactionQueue = "transaction_queue";
static constexpr auto kValidationSeed = "validation_seed";
static constexpr auto kValidatorKeys = "validator_keys";
static constexpr auto kValidatorKeyRevocation = "validator_key_revocation";
static constexpr auto kValidatorListKeys = "validator_list_keys";
static constexpr auto kValidatorListSites = "validator_list_sites";
static constexpr auto kValidatorListThreshold = "validator_list_threshold";
static constexpr auto kValidatorToken = "validator_token";
static constexpr auto kValidators = "validators";
static constexpr auto kValidatorsFile = "validators_file";
static constexpr auto kVetoAmendments = "veto_amendments";
static constexpr auto kVl = "vl";
static constexpr auto kVoting = "voting";
static constexpr auto kWorkers = "workers";
};
struct Keys
{
static constexpr auto kAccountReserve = "account_reserve";
static constexpr auto kAddress = "address";
static constexpr auto kAdmin = "admin";
static constexpr auto kAdminPassword = "admin_password";
static constexpr auto kAdminUser = "admin_user";
static constexpr auto kAdvisoryDelete = "advisory_delete";
static constexpr auto kAgeThresholdSeconds = "age_threshold_seconds";
static constexpr auto kBackOff = "backOff";
static constexpr auto kBackOffMilliseconds = "back_off_milliseconds";
static constexpr auto kBackend = "backend";
static constexpr auto kBbtOptions = "bbt_options";
static constexpr auto kBgThreads = "bg_threads";
static constexpr auto kBlockSize = "block_size";
static constexpr auto kCacheAge = "cache_age";
static constexpr auto kCacheMb = "cache_mb";
static constexpr auto kCacheSize = "cache_size";
static constexpr auto kClientMaxWindowBits = "client_max_window_bits";
static constexpr auto kClientNoContextTakeover = "client_no_context_takeover";
static constexpr auto kCompressLevel = "compress_level";
static constexpr auto kCounts = "counts";
static constexpr auto kDeleteBatch = "delete_batch";
static constexpr auto kEarliestSeq = "earliest_seq";
static constexpr auto kFastLoad = "fast_load";
static constexpr auto kFileSizeMb = "file_size_mb";
static constexpr auto kFileSizeMult = "file_size_mult";
static constexpr auto kFilterBits = "filter_bits";
static constexpr auto kFilterFull = "filter_full";
static constexpr auto kHardSet = "hard_set";
static constexpr auto kHighThreads = "high_threads";
static constexpr auto kHoldTime = "hold_time";
static constexpr auto kIp = "ip";
static constexpr auto kJournalMode = "journal_mode";
static constexpr auto kJournalSizeLimit = "journal_size_limit";
static constexpr auto kLedgersInQueue = "ledgers_in_queue";
static constexpr auto kLimit = "limit";
static constexpr auto kLogInterval = "log_interval";
static constexpr auto kMaxDivergedTime = "max_diverged_time";
static constexpr auto kMaxLedgerCountsToStore = "max_ledger_counts_to_store";
static constexpr auto kMaxUnknownTime = "max_unknown_time";
static constexpr auto kMaximumTxnInLedger = "maximum_txn_in_ledger";
static constexpr auto kMaximumTxnPerAccount = "maximum_txn_per_account";
static constexpr auto kMemoryLevel = "memory_level";
static constexpr auto kMinLedgersToComputeSizeLimit = "min_ledgers_to_compute_size_limit";
static constexpr auto kMinimumEscalationMultiplier = "minimum_escalation_multiplier";
static constexpr auto kMinimumLastLedgerBuffer = "minimum_last_ledger_buffer";
static constexpr auto kMinimumQueueSize = "minimum_queue_size";
static constexpr auto kMinimumTxnInLedger = "minimum_txn_in_ledger";
static constexpr auto kMinimumTxnInLedgerStandalone = "minimum_txn_in_ledger_standalone";
static constexpr auto kNormalConsensusIncreasePercent = "normal_consensus_increase_percent";
static constexpr auto kNudbBlockSize = "nudb_block_size";
static constexpr auto kOnlineDelete = "online_delete";
static constexpr auto kOpenFiles = "open_files";
static constexpr auto kOptions = "options";
static constexpr auto kOverlay = "overlay";
static constexpr auto kOwnerReserve = "owner_reserve";
static constexpr auto kPageSize = "page_size";
static constexpr auto kPassword = "password";
static constexpr auto kPath = "path";
static constexpr auto kPermessageDeflate = "permessage_deflate";
static constexpr auto kPort = "port";
static constexpr auto kPrefix = "prefix";
static constexpr auto kProtocol = "protocol";
static constexpr auto kRecoveryWaitSeconds = "recovery_wait_seconds";
static constexpr auto kReferenceFee = "reference_fee";
static constexpr auto kRelayTime = "relay_time";
static constexpr auto kRetrySequencePercent = "retry_sequence_percent";
static constexpr auto kRqBundle = "rq_bundle";
static constexpr auto kSafetyLevel = "safety_level";
static constexpr auto kSecureGateway = "secure_gateway";
static constexpr auto kSendQueueLimit = "send_queue_limit";
static constexpr auto kServer = "server";
static constexpr auto kServerMaxWindowBits = "server_max_window_bits";
static constexpr auto kServerNoContextTakeover = "server_no_context_takeover";
static constexpr auto kSlowConsensusDecreasePercent = "slow_consensus_decrease_percent";
static constexpr auto kSslCert = "ssl_cert";
static constexpr auto kSslCertChain = "ssl_cert_chain";
static constexpr auto kSslChain = "ssl_chain";
static constexpr auto kSslCiphers = "ssl_ciphers";
static constexpr auto kSslClientCa = "ssl_client_ca";
static constexpr auto kSslKey = "ssl_key";
static constexpr auto kSynchronous = "synchronous";
static constexpr auto kTargetTxnInLedger = "target_txn_in_ledger";
static constexpr auto kTempStore = "temp_store";
static constexpr auto kTxEnable = "tx_enable";
static constexpr auto kTxMetrics = "tx_metrics";
static constexpr auto kTxMinPeers = "tx_min_peers";
static constexpr auto kTxRelayPercentage = "tx_relay_percentage";
static constexpr auto kType = "type";
static constexpr auto kUniversalCompaction = "universal_compaction";
static constexpr auto kUnl = "unl";
static constexpr auto kUseTxTables = "use_tx_tables";
static constexpr auto kUser = "user";
static constexpr auto kVpBaseSquelchEnable = "vp_base_squelch_enable";
static constexpr auto kVpBaseSquelchMaxSelectedPeers = "vp_base_squelch_max_selected_peers";
static constexpr auto kVpEnable = "vp_enable";
};
} // namespace xrpl

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@@ -1,5 +1,6 @@
#pragma once
#include <xrpl/basics/BasicConfig.h>
#include <xrpl/core/JobTypes.h>
#include <xrpl/json/json_value.h>
@@ -17,7 +18,6 @@ class Journal;
namespace xrpl {
class Application;
class Section;
namespace perf {
/**

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@@ -1,7 +1,6 @@
#pragma once
#include <string>
#include <string_view>
#include <vector>
namespace xrpl {
@@ -35,7 +34,7 @@ private:
static void
standard(std::string& strWord);
static int
wsrch(std::string_view strWord, int iMin, int iMax);
wsrch(std::string const& strWord, int iMin, int iMax);
static int
etob(std::string& strData, std::vector<std::string> vsHuman);

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@@ -123,7 +123,7 @@ private:
bool preserveOrder,
Keylet const& directory,
uint256 const& key,
std::function<void(SLE::ref)> const& describe);
std::function<void(std::shared_ptr<SLE> const&)> const& describe);
public:
ApplyView() = default;
@@ -153,7 +153,7 @@ public:
@return `nullptr` if the key is not present
*/
virtual SLE::pointer
virtual std::shared_ptr<SLE>
peek(Keylet const& k) = 0;
/** Remove a peeked SLE.
@@ -168,7 +168,7 @@ public:
The key is no longer associated with the SLE.
*/
virtual void
erase(SLE::ref sle) = 0;
erase(std::shared_ptr<SLE> const& sle) = 0;
/** Insert a new state SLE
@@ -189,7 +189,7 @@ public:
@note The key is taken from the SLE
*/
virtual void
insert(SLE::ref sle) = 0;
insert(std::shared_ptr<SLE> const& sle) = 0;
/** Indicate changes to a peeked SLE
@@ -208,7 +208,7 @@ public:
*/
/** @{ */
virtual void
update(SLE::ref sle) = 0;
update(std::shared_ptr<SLE> const& sle) = 0;
//--------------------------------------------------------------------------
@@ -301,7 +301,7 @@ public:
dirAppend(
Keylet const& directory,
Keylet const& key,
std::function<void(SLE::ref)> const& describe)
std::function<void(std::shared_ptr<SLE> const&)> const& describe)
{
if (key.type != ltOFFER)
{
@@ -340,7 +340,7 @@ public:
dirInsert(
Keylet const& directory,
uint256 const& key,
std::function<void(SLE::ref)> const& describe)
std::function<void(std::shared_ptr<SLE> const&)> const& describe)
{
return dirAdd(false, directory, key, describe);
}
@@ -349,7 +349,7 @@ public:
dirInsert(
Keylet const& directory,
Keylet const& key,
std::function<void(SLE::ref)> const& describe)
std::function<void(std::shared_ptr<SLE> const&)> const& describe)
{
return dirAdd(false, directory, key.key, describe);
}
@@ -411,7 +411,7 @@ createRoot(
ApplyView& view,
Keylet const& directory,
uint256 const& key,
std::function<void(SLE::ref)> const& describe);
std::function<void(std::shared_ptr<SLE> const&)> const& describe);
auto
findPreviousPage(ApplyView& view, Keylet const& directory, SLE::ref start);
@@ -434,7 +434,7 @@ insertPage(
SLE::ref next,
uint256 const& key,
Keylet const& directory,
std::function<void(SLE::ref)> const& describe);
std::function<void(std::shared_ptr<SLE> const&)> const& describe);
} // namespace directory
} // namespace xrpl

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@@ -67,8 +67,8 @@ public:
std::function<void(
uint256 const& key,
bool isDelete,
SLE::const_ref before,
SLE::const_ref after)> const& func);
std::shared_ptr<SLE const> const& before,
std::shared_ptr<SLE const> const& after)> const& func);
private:
std::optional<STAmount> deliver_;

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@@ -11,13 +11,13 @@ private:
uint256 const root_;
uint256 const nextQuality_;
uint256 const key_;
SLE::const_pointer sle_ = nullptr;
std::shared_ptr<SLE const> sle_ = nullptr;
unsigned int entry_ = 0;
uint256 index_;
public:
class const_iterator; // NOLINT(readability-identifier-naming)
using value_type = SLE::const_pointer;
using value_type = std::shared_ptr<SLE const>;
BookDirs(ReadView const&, Book const&);
@@ -76,7 +76,7 @@ private:
uint256 nextQuality_;
uint256 key_;
uint256 curKey_;
SLE::const_pointer sle_;
std::shared_ptr<SLE const> sle_;
unsigned int entry_ = 0;
uint256 index_;
std::optional<value_type> mutable cache_;

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@@ -1,49 +0,0 @@
#pragma once
#include <xrpl/protocol/MultiApiJson.h>
#include <xrpl/server/InfoSub.h>
#include <memory>
#include <mutex>
namespace xrpl {
/** Listen to public/subscribe messages from a book. */
class BookListeners
{
public:
using pointer = std::shared_ptr<BookListeners>;
BookListeners() = default;
/** Add a new subscription for this book
*/
void
addSubscriber(InfoSub::ref sub);
/** Stop publishing to a subscriber
*/
void
removeSubscriber(std::uint64_t sub);
/** Publish a transaction to subscribers
Publish a transaction to clients subscribed to changes on this book.
Uses havePublished to prevent sending duplicate transactions to clients
that have subscribed to multiple books.
@param jvObj JSON transaction data to publish
@param havePublished InfoSub sequence numbers that have already
published this transaction.
*/
void
publish(MultiApiJson const& jvObj, hash_set<std::uint64_t>& havePublished);
private:
std::recursive_mutex lock_;
hash_map<std::uint64_t, InfoSub::wptr> listeners_;
};
} // namespace xrpl

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@@ -36,7 +36,7 @@ public:
bool
exists(Keylet const& k) const override;
SLE::const_pointer
std::shared_ptr<SLE const>
read(Keylet const& k) const override;
bool

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@@ -93,7 +93,7 @@ public:
}
void
insert(std::shared_ptr<STTx const> txn);
insert(std::shared_ptr<STTx const> const& txn);
// Pops the next transaction on account that follows seqProx in the
// sort order. Normally called when a transaction is successfully

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@@ -22,12 +22,12 @@ class Dir
private:
ReadView const* view_ = nullptr;
Keylet root_;
SLE::const_pointer sle_;
std::shared_ptr<SLE const> sle_;
STVector256 const* indexes_ = nullptr;
public:
class ConstIterator;
using value_type = SLE::const_pointer;
using value_type = std::shared_ptr<SLE const>;
Dir(ReadView const&, Keylet const&);
@@ -102,7 +102,7 @@ private:
Keylet page_;
uint256 index_;
std::optional<value_type> mutable cache_;
SLE::const_pointer sle_;
std::shared_ptr<SLE const> sle_;
STVector256 const* indexes_ = nullptr;
std::vector<uint256>::const_iterator it_;
};

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@@ -166,7 +166,7 @@ public:
std::optional<uint256>
succ(uint256 const& key, std::optional<uint256> const& last = std::nullopt) const override;
SLE::const_pointer
std::shared_ptr<SLE const>
read(Keylet const& k) const override;
std::unique_ptr<SlesType::iter_base>
@@ -202,16 +202,16 @@ public:
//
void
rawErase(SLE::ref sle) override;
rawErase(std::shared_ptr<SLE> const& sle) override;
void
rawInsert(SLE::ref sle) override;
rawInsert(std::shared_ptr<SLE> const& sle) override;
void
rawErase(uint256 const& key);
void
rawReplace(SLE::ref sle) override;
rawReplace(std::shared_ptr<SLE> const& sle) override;
void
rawDestroyXRP(XRPAmount const& fee) override
@@ -361,7 +361,7 @@ public:
bool
isVotingLedger() const;
SLE::pointer
std::shared_ptr<SLE>
peek(Keylet const& k) const;
private:

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@@ -197,7 +197,7 @@ public:
std::optional<key_type>
succ(key_type const& key, std::optional<key_type> const& last = std::nullopt) const override;
SLE::const_pointer
std::shared_ptr<SLE const>
read(Keylet const& k) const override;
std::unique_ptr<SlesType::iter_base>
@@ -224,13 +224,13 @@ public:
// RawView
void
rawErase(SLE::ref sle) override;
rawErase(std::shared_ptr<SLE> const& sle) override;
void
rawInsert(SLE::ref sle) override;
rawInsert(std::shared_ptr<SLE> const& sle) override;
void
rawReplace(SLE::ref sle) override;
rawReplace(std::shared_ptr<SLE> const& sle) override;
void
rawDestroyXRP(XRPAmount const& fee) override;

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@@ -1,11 +1,11 @@
#pragma once
#include <xrpl/basics/UnorderedContainers.h>
#include <xrpl/beast/utility/Journal.h>
#include <xrpl/ledger/AcceptedLedgerTx.h>
#include <xrpl/ledger/BookListeners.h>
#include <xrpl/ledger/ReadView.h>
#include <xrpl/protocol/Asset.h>
#include <xrpl/protocol/Book.h>
#include <xrpl/protocol/MultiApiJson.h>
#include <xrpl/protocol/UintTypes.h>
#include <memory>
@@ -77,34 +77,24 @@ public:
*/
virtual bool
isBookToXRP(Asset const& asset, std::optional<Domain> const& domain = std::nullopt) = 0;
/**
* Process a transaction for order book tracking.
* @param ledger The ledger the transaction was applied to
* @param alTx The transaction to process
* @param jvObj The JSON object of the transaction
*/
virtual void
processTxn(
std::shared_ptr<ReadView const> const& ledger,
AcceptedLedgerTx const& alTx,
MultiApiJson const& jvObj) = 0;
/**
* Get the book listeners for a book.
* @param book The book to get the listeners for
* @return The book listeners for the book
*/
virtual BookListeners::pointer
getBookListeners(Book const&) = 0;
/**
* Create a new book listeners for a book.
* @param book The book to create the listeners for
* @return The new book listeners for the book
*/
virtual BookListeners::pointer
makeBookListeners(Book const&) = 0;
};
/** Extract the set of books affected by a transaction.
*
* Walks the transaction's metadata nodes and collects every order book
* whose offers were created, modified, or deleted. Used by NetworkOPs to
* fan transaction notifications out to book subscribers.
*
* @param alTx The accepted ledger transaction to inspect.
* @param j Journal used to log per-node parsing failures. Inspecting an
* offer node can throw if a required field is missing; in that
* case the bad node is skipped and a warn-level message is
* emitted via @p j. Other affected books in the same transaction
* are still returned.
* @return The set of books whose offers were created, modified, or
* deleted. May be empty for non-offer transactions.
*/
hash_set<Book>
affectedBooks(AcceptedLedgerTx const& alTx, beast::Journal const& j);
} // namespace xrpl

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@@ -25,7 +25,7 @@ public:
can calculate metadata.
*/
virtual void
rawErase(SLE::ref sle) = 0;
rawErase(std::shared_ptr<SLE> const& sle) = 0;
/** Unconditionally insert a state item.
@@ -39,7 +39,7 @@ public:
@note The key is taken from the SLE
*/
virtual void
rawInsert(SLE::ref sle) = 0;
rawInsert(std::shared_ptr<SLE> const& sle) = 0;
/** Unconditionally replace a state item.
@@ -54,7 +54,7 @@ public:
@note The key is taken from the SLE
*/
virtual void
rawReplace(SLE::ref sle) = 0;
rawReplace(std::shared_ptr<SLE> const& sle) = 0;
/** Destroy XRP.

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@@ -34,9 +34,9 @@ public:
using key_type = uint256;
using mapped_type = SLE::const_pointer;
using mapped_type = std::shared_ptr<SLE const>;
struct SlesType : detail::ReadViewFwdRange<SLE::const_pointer>
struct SlesType : detail::ReadViewFwdRange<std::shared_ptr<SLE const>>
{
explicit SlesType(ReadView const& view);
[[nodiscard]] Iterator
@@ -143,7 +143,7 @@ public:
@return `nullptr` if the key is not present or
if the type does not match.
*/
[[nodiscard]] virtual SLE::const_pointer
[[nodiscard]] virtual std::shared_ptr<SLE const>
read(Keylet const& k) const = 0;
// Accounts in a payment are not allowed to use assets acquired during that

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@@ -12,6 +12,7 @@
#include <cstdint>
#include <functional>
#include <map>
#include <memory>
#include <optional>
#include <set>
#include <utility>
@@ -134,7 +135,7 @@ areCompatible(
dirLink(
ApplyView& view,
AccountID const& owner,
SLE::pointer& object,
std::shared_ptr<SLE>& object,
SF_UINT64 const& node = sfOwnerNode);
/** Checks that can withdraw funds from an object to itself or a destination.
@@ -214,8 +215,8 @@ doWithdraw(
* (if should not be skipped) and if the entry should be skipped. The status
* is always tesSUCCESS if the entry should be skipped.
*/
using EntryDeleter =
std::function<std::pair<TER, SkipEntry>(LedgerEntryType, uint256 const&, SLE::pointer&)>;
using EntryDeleter = std::function<
std::pair<TER, SkipEntry>(LedgerEntryType, uint256 const&, std::shared_ptr<SLE>&)>;
/** Cleanup owner directory entries on account delete.
* Used for a regular and AMM accounts deletion. The caller
* has to provide the deleter function, which handles details of

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@@ -8,6 +8,8 @@
#include <xrpl/protocol/TxMeta.h>
#include <xrpl/protocol/XRPAmount.h>
#include <memory>
namespace xrpl::detail {
// Helper class that buffers modifications
@@ -24,7 +26,7 @@ private:
Modify,
};
using items_t = std::map<key_type, std::pair<Action, SLE::pointer>>;
using items_t = std::map<key_type, std::pair<Action, std::shared_ptr<SLE>>>;
items_t items_;
XRPAmount dropsDestroyed_{0};
@@ -58,10 +60,10 @@ public:
[[nodiscard]] std::optional<key_type>
succ(ReadView const& base, key_type const& key, std::optional<key_type> const& last) const;
[[nodiscard]] SLE::const_pointer
[[nodiscard]] std::shared_ptr<SLE const>
read(ReadView const& base, Keylet const& k) const;
SLE::pointer
std::shared_ptr<SLE>
peek(ReadView const& base, Keylet const& k);
[[nodiscard]] std::size_t
@@ -73,23 +75,23 @@ public:
std::function<void(
uint256 const& key,
bool isDelete,
SLE::const_ref before,
SLE::const_ref after)> const& func) const;
std::shared_ptr<SLE const> const& before,
std::shared_ptr<SLE const> const& after)> const& func) const;
void
erase(ReadView const& base, SLE::ref sle);
erase(ReadView const& base, std::shared_ptr<SLE> const& sle);
void
rawErase(ReadView const& base, SLE::ref sle);
rawErase(ReadView const& base, std::shared_ptr<SLE> const& sle);
void
insert(ReadView const& base, SLE::ref sle);
insert(ReadView const& base, std::shared_ptr<SLE> const& sle);
void
update(ReadView const& base, SLE::ref sle);
update(ReadView const& base, std::shared_ptr<SLE> const& sle);
void
replace(ReadView const& base, SLE::ref sle);
replace(ReadView const& base, std::shared_ptr<SLE> const& sle);
void
destroyXRP(XRPAmount const& fee);
@@ -102,12 +104,12 @@ public:
}
private:
using Mods = hash_map<key_type, SLE::pointer>;
using Mods = hash_map<key_type, std::shared_ptr<SLE>>;
static void
threadItem(TxMeta& meta, SLE::ref to);
threadItem(TxMeta& meta, std::shared_ptr<SLE> const& to);
SLE::pointer
std::shared_ptr<SLE>
getForMod(ReadView const& base, key_type const& key, Mods& mods, beast::Journal j);
void
@@ -117,7 +119,7 @@ private:
threadOwners(
ReadView const& base,
TxMeta& meta,
SLE::const_ref sle,
std::shared_ptr<SLE const> const& sle,
Mods& mods,
beast::Journal j);
};

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@@ -40,7 +40,7 @@ public:
[[nodiscard]] std::optional<key_type>
succ(key_type const& key, std::optional<key_type> const& last = std::nullopt) const override;
[[nodiscard]] SLE::const_pointer
[[nodiscard]] std::shared_ptr<SLE const>
read(Keylet const& k) const override;
[[nodiscard]] std::unique_ptr<SlesType::iter_base>
@@ -69,28 +69,28 @@ public:
[[nodiscard]] ApplyFlags
flags() const override;
SLE::pointer
std::shared_ptr<SLE>
peek(Keylet const& k) override;
void
erase(SLE::ref sle) override;
erase(std::shared_ptr<SLE> const& sle) override;
void
insert(SLE::ref sle) override;
insert(std::shared_ptr<SLE> const& sle) override;
void
update(SLE::ref sle) override;
update(std::shared_ptr<SLE> const& sle) override;
// RawView
void
rawErase(SLE::ref sle) override;
rawErase(std::shared_ptr<SLE> const& sle) override;
void
rawInsert(SLE::ref sle) override;
rawInsert(std::shared_ptr<SLE> const& sle) override;
void
rawReplace(SLE::ref sle) override;
rawReplace(std::shared_ptr<SLE> const& sle) override;
void
rawDestroyXRP(XRPAmount const& feeDrops) override;

View File

@@ -49,15 +49,15 @@ public:
succ(ReadView const& base, key_type const& key, std::optional<key_type> const& last) const;
void
erase(SLE::ref sle);
erase(std::shared_ptr<SLE> const& sle);
void
insert(SLE::ref sle);
insert(std::shared_ptr<SLE> const& sle);
void
replace(SLE::ref sle);
replace(std::shared_ptr<SLE> const& sle);
[[nodiscard]] SLE::const_pointer
[[nodiscard]] std::shared_ptr<SLE const>
read(ReadView const& base, Keylet const& k) const;
void
@@ -84,10 +84,10 @@ private:
struct SleAction
{
Action action;
SLE::pointer sle;
std::shared_ptr<SLE> sle;
// Constructor needed for emplacement in std::map
SleAction(Action action, SLE::pointer sle) : action(action), sle(std::move(sle))
SleAction(Action action, std::shared_ptr<SLE> const& sle) : action(action), sle(sle)
{
}
};

View File

@@ -1,5 +1,6 @@
#pragma once
#include <xrpl/basics/Expected.h>
#include <xrpl/basics/Log.h>
#include <xrpl/basics/Number.h>
#include <xrpl/beast/utility/Journal.h>
@@ -17,8 +18,6 @@
#include <xrpl/protocol/STAmount.h>
#include <xrpl/protocol/STLedgerEntry.h>
#include <expected>
namespace xrpl {
namespace detail {
@@ -742,7 +741,7 @@ ammPoolHolds(
* provided then they are used as the AMM token pair issues.
* Otherwise the missing issues are fetched from ammSle.
*/
std::expected<std::tuple<STAmount, STAmount, STAmount>, TER>
Expected<std::tuple<STAmount, STAmount, STAmount>, TER>
ammHolds(
ReadView const& view,
SLE const& ammSle,
@@ -793,7 +792,7 @@ deleteAMMAccount(Sandbox& view, Asset const& asset, Asset const& asset2, beast::
void
initializeFeeAuctionVote(
ApplyView& view,
SLE::pointer& ammSle,
std::shared_ptr<SLE>& ammSle,
AccountID const& account,
Asset const& lptAsset,
std::uint16_t tfee);
@@ -802,18 +801,18 @@ initializeFeeAuctionVote(
* otherwise. Return tecINTERNAL if encountered an unexpected condition,
* for instance Liquidity Provider has more than one LPToken trustline.
*/
std::expected<bool, TER>
Expected<bool, TER>
isOnlyLiquidityProvider(ReadView const& view, Issue const& ammIssue, AccountID const& lpAccount);
/** Due to rounding, the LPTokenBalance of the last LP might
* not match the LP's trustline balance. If it's within the tolerance,
* update LPTokenBalance to match the LP's trustline balance.
*/
std::expected<bool, TER>
Expected<bool, TER>
verifyAndAdjustLPTokenBalance(
Sandbox& sb,
STAmount const& lpTokens,
SLE::pointer& ammSle,
std::shared_ptr<SLE>& ammSle,
AccountID const& account);
} // namespace xrpl

View File

@@ -1,5 +1,6 @@
#pragma once
#include <xrpl/basics/Expected.h>
#include <xrpl/beast/utility/Journal.h>
#include <xrpl/ledger/ApplyView.h>
#include <xrpl/ledger/ReadView.h>
@@ -8,7 +9,7 @@
#include <xrpl/protocol/STLedgerEntry.h>
#include <xrpl/protocol/TER.h>
#include <expected>
#include <memory>
#include <set>
#include <vector>
@@ -35,7 +36,11 @@ xrpLiquid(ReadView const& view, AccountID const& id, std::int32_t ownerCountAdj,
/** Adjust the owner count up or down. */
void
adjustOwnerCount(ApplyView& view, SLE::ref sle, std::int32_t amount, beast::Journal j);
adjustOwnerCount(
ApplyView& view,
std::shared_ptr<SLE> const& sle,
std::int32_t amount,
beast::Journal j);
/** Returns IOU issuer transfer fee as Rate. Rate specifies
* the fee as fractions of 1 billion. For example, 1% transfer rate
@@ -71,7 +76,9 @@ getPseudoAccountFields();
- null pointer
*/
[[nodiscard]] bool
isPseudoAccount(SLE::const_pointer sleAcct, std::set<SField const*> const& pseudoFieldFilter = {});
isPseudoAccount(
std::shared_ptr<SLE const> sleAcct,
std::set<SField const*> const& pseudoFieldFilter = {});
/** Convenience overload that reads the account from the view. */
[[nodiscard]] inline bool
@@ -91,7 +98,7 @@ isPseudoAccount(
* before using a field. The amendment check is **not** performed in
* createPseudoAccount.
*/
[[nodiscard]] std::expected<SLE::pointer, TER>
[[nodiscard]] Expected<std::shared_ptr<SLE>, TER>
createPseudoAccount(ApplyView& view, uint256 const& pseudoOwnerKey, SField const& ownerField);
/** Checks the destination and tag.

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