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22e440aee1
The harness manifests asserted things the code cannot produce and missed most of what it does. Two assertions were failing every run, and the metric set covered 16 of the ~41 emitted names. expected_spans.json: rpc.process was required with rpc.ws_message as its parent, but it is created only in ServerHandler::processRequest() on the HTTP path, so a WebSocket-only workload never produces it -- it is now optional and parented to rpc.http_request, and the rpc.process -> rpc.command.* edge is skipped with the real reason instead of a coroutine-context-loss diagnosis that was never the cause. Adds the missing rpc.ws_upgrade span, corrects four parents (consensus.mode_change, pathfind.request, and update_positions/check, which are children of consensus.establish rather than consensus.round), and demotes conditionally-set attributes out of required_attributes so a healthy run stops failing. Counts recomputed from the file: 41 span types, 62 unique required attributes. expected_metrics.json: 16 -> 52 asserted entries across the job-queue, RPC method, reduce-relay, overflow and validation families, plus the fifteenth dashboard uid. Metrics the harness workload cannot exercise -- erroring RPC, ledger-mismatch, TxQ overflow, and the lazily-created getobject_* instruments -- are listed in a not_asserted group the validator skips, rather than as assertions that would fail on a healthy node. The workflow's push trigger listed two globs matching nothing (include/xrpl/basics/Telemetry*.h, src/xrpld/app/misc/Telemetry*), so no C++ telemetry change ever triggered validation. Replaced with the paths the code actually lives in, including src/libxrpl/beast/insight/** for the insight export path the harness depends on. The four inert workflow_dispatch inputs are now labelled UNUSED rather than looking like working knobs. Docs: the workload README described a StatsD dirty-flag mechanism under a member name that does not exist, on a code path the harness never uses -- it sets [insight] server=otel, so gauges export through an observable-gauge callback every cycle. Adds the missing txq-burst phase, reconciles three different dashboard counts, and drops "posts summary to PR", which the workflow has no permission to do. The runbook's phase-10 section loses the last sampling_ratio reference (not a config key), gains a Regression Gate and CI subsection covering the gate that can fail CI, and its compose-logs command now names the workload compose file. cmake --preset default is left for a separate change: no CMakePresets.json is tracked, so it is wrong everywhere it appears. Also drops the dead exporter=otlp_http key the harness wrote into every node config, and stops capture_timings.py defaulting --profile to a profile that does not exist.
The XRP Ledger
The XRP Ledger is a decentralized cryptographic ledger powered by a network of peer-to-peer nodes. The XRP Ledger uses a novel Byzantine Fault Tolerant consensus algorithm to settle and record transactions in a secure distributed database without a central operator.
XRP
XRP is a public, counterparty-free crypto-asset native to the XRP Ledger, and is designed as a gas token for network services and to bridge different currencies. XRP is traded on the open-market and is available for anyone to access. The XRP Ledger was created in 2012 with a finite supply of 100 billion units of XRP.
xrpld
The server software that powers the XRP Ledger is called xrpld and is available in this repository under the permissive ISC open-source license. The xrpld server software is written primarily in C++ and runs on a variety of platforms. The xrpld server software can run in several modes depending on its configuration.
If you are interested in running an API Server (including a Full History Server), take a look at Clio. (xrpld Reporting Mode has been replaced by Clio.)
Build from Source
- Read the build instructions in
BUILD.md - If you encounter any issues, please open an issue
Key Features of the XRP Ledger
- Censorship-Resistant Transaction Processing: No single party decides which transactions succeed or fail, and no one can "roll back" a transaction after it completes. As long as those who choose to participate in the network keep it healthy, they can settle transactions in seconds.
- Fast, Efficient Consensus Algorithm: The XRP Ledger's consensus algorithm settles transactions in 4 to 5 seconds, processing at a throughput of up to 1500 transactions per second. These properties put XRP at least an order of magnitude ahead of other top digital assets.
- Finite XRP Supply: When the XRP Ledger began, 100 billion XRP were created, and no more XRP will ever be created. The available supply of XRP decreases slowly over time as small amounts are destroyed to pay transaction fees.
- Responsible Software Governance: A team of full-time developers at Ripple & other organizations maintain and continually improve the XRP Ledger's underlying software with contributions from the open-source community. Ripple acts as a steward for the technology and an advocate for its interests.
- Secure, Adaptable Cryptography: The XRP Ledger relies on industry standard digital signature systems like ECDSA (the same scheme used by Bitcoin) but also supports modern, efficient algorithms like Ed25519. The extensible nature of the XRP Ledger's software makes it possible to add and disable algorithms as the state of the art in cryptography advances.
- Modern Features: Features like Escrow, Checks, and Payment Channels support financial applications atop of the XRP Ledger. This toolbox of advanced features comes with safety features like a process for amending the network and separate checks against invariant constraints.
- On-Ledger Decentralized Exchange: In addition to all the features that make XRP useful on its own, the XRP Ledger also has a fully-functional accounting system for tracking and trading obligations denominated in any way users want, and an exchange built into the protocol. The XRP Ledger can settle long, cross-currency payment paths and exchanges of multiple currencies in atomic transactions, bridging gaps of trust with XRP.
Source Code
Here are some good places to start learning the source code:
- Read the markdown files in the source tree:
src/xrpld/**/*.md. - Read the levelization document to get an idea of the internal dependency graph.
- In the big picture, the
mainfunction constructs anApplicationImpobject, which implements theApplicationvirtual interface. Almost every component in the application takes anApplication¶meter in its constructor, typically namedappand stored as a member variableapp_. This allows most components to depend on any other component.
Repository Contents
| Folder | Contents |
|---|---|
./bin |
Scripts and data files for XRPL developers. |
./Builds |
Platform-specific guides for building xrpld. |
./docs |
Source documentation files and doxygen config. |
./cfg |
Example configuration files. |
./src |
Source code. |
Some of the directories under src are external repositories included using
git-subtree. See those directories' README files for more details.