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rspack-tracing

rspack-tracing

Capture or analyze Rspack build traces to locate slow compiler phases, plugins, loaders, or the last events before a build failure.

Independent GitHub snapshot · Automated classification · Original documentation governs

スキルの説明

GitHub

name: rspack-tracing description: Capture or analyze Rspack build traces to locate slow compiler phases, plugins, loaders, or the last events before a build failure.

Rspack tracing & performance profiling

When to use this skill

Use this skill when you need to:

  1. Diagnose why an Rspack build is slow.
  2. Understand which plugins or loaders are taking the most time.
  3. Analyze a user-provided Rspack trace file.
  4. Guide a user to capture a performance profile.

Workflow

1. Capture a trace

First, ask the user to run their build with tracing enabled.

# Set environment variables for logging to a file
RSPACK_PROFILE=TRACE RSPACK_TRACE_LAYER=logger RSPACK_TRACE_OUTPUT=./trace.json pnpm build

This will generate a trace file in a timestamped directory like .rspack-profile-{timestamp}-{pid}/trace.json.

See references/tracing-guide.md for more details on configuration.

2. Quick diagnosis for Crashes/Errors

If the user wants to identify which stage a crash or error occurred in, use tail to quickly view the last events without running the full analysis:

# Navigate to the generated profile directory
cd .rspack-profile-*/

# View the last 20 events to see where the build failed
tail -n 20 trace.json

The last events will show the span names and targets where the build stopped, helping to quickly pinpoint the problematic stage, plugin, or loader.

3. Full performance analysis

For detailed performance profiling (not just crash diagnosis), ask the user whether to run the bundled scripts/analyze_trace.mjs on the generated trace file. If they agree, resolve it relative to the Skill root while keeping the working directory in the user's project, then run:

# Navigate to the generated profile directory
cd .rspack-profile-*/

# Run the analysis script
node "<skill-root>/scripts/analyze_trace.mjs" trace.json

4. Interpret results

Use the output from the script to identify bottlenecks. Consult references/bottlenecks.md to map span names to actionable fixes.

5. Locate slow plugins

Based on the "Top Slowest Hooks" from the analysis script:

  1. Identify the Hook: Note the hook name (e.g., hook:CompilationOptimizeChunks).
  2. Inspect Configuration: Read rspack.config.js or rsbuild.config.ts.
  3. Map Hook to Plugin: Look for plugins and their sources that tap into that specific hook.
  4. Output: Output the paths, lines and columns of the suspected plugin source code.

Common scenarios & quick fixes

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