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query-plan-snapshot-cli

Testing & Quality
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Use QueryPlanSnapshotCli to capture and compare RDF4J query plans, then assess likely performance improvements/regressions from execution verification and semantic plan diffs. Trigger when users ask about optimizer impact, query-plan drift, join algorithm changes, or query performance regressions in testsuites/benchmark.

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query-plan-snapshot-cli

Use this skill to run reproducible query-plan captures, triage historical theme-query benchmark results, and classify likely regression/improvement signals.

Fast workflow

  1. Capture raw benchmark output into a normalized result file when needed.
  2. Analyze the newest dated run against historical results.
  3. Drill into the fastest known runs for a specific theme/query.
  4. If needed, capture baseline/candidate plan snapshots and diff them semantically.

History triage

Result files live in:

  • core/sail/lmdb/src/test/java/org/eclipse/rdf4j/sail/lmdb/benchmark/theme-query-benchmark-results

Normalize raw JMH output into a new result file:

  • pbpaste | scripts/theme-query-benchmark-results.sh capture
  • scripts/theme-query-benchmark-results.sh capture raw-jmh.txt

Analyze only the queries that are more than 20% slower than history:

  • core/sail/lmdb/src/test/java/org/eclipse/rdf4j/sail/lmdb/benchmark/theme-query-benchmark-results/analyze-theme-query-history.sh

Sort regressions from biggest to smallest:

  • core/sail/lmdb/src/test/java/org/eclipse/rdf4j/sail/lmdb/benchmark/theme-query-benchmark-results/analyze-theme-query-history.sh --sort-regressions

Only print the top N regressions:

  • core/sail/lmdb/src/test/java/org/eclipse/rdf4j/sail/lmdb/benchmark/theme-query-benchmark-results/analyze-theme-query-history.sh --top 10

Analyze every latest query, including current-run wins over previous best:

  • core/sail/lmdb/src/test/java/org/eclipse/rdf4j/sail/lmdb/benchmark/theme-query-benchmark-results/analyze-theme-query-history.sh --all

Drill into the three fastest known runs for one theme/query and print optimized plan/query when present:

  • core/sail/lmdb/src/test/java/org/eclipse/rdf4j/sail/lmdb/benchmark/theme-query-benchmark-results/analyze-theme-query-history.sh --theme PHARMA --query-index 10

Interpretation:

  • Default mode: newest dated file only for the “latest” baseline; compares against all other results-*.md, including results-develop.md and results-main-branch.md, but prints only queries where latest is more than 20% slower than historical best.
  • --sort-regressions: flat regression list, biggest slowdown first.
  • --top N: top N regressions only; implies regression sorting.
  • --all: prints every latest query; if latest is a new best it prints how much faster it is than the previous best.
  • Query detail mode: top three runs sorted by score ascending; ties prefer richer files with plan/query content.
  • plan no | query yes: optimized query rendered, no physical plan block in that result file.
  • plan no | query no: summary-only run or no per-query capture in that file.

Use this path when the goal is optimizer-loop work: find the fastest known plan/query for a theme/query, then compare new runs back to that history before touching production logic.

Fast regression test loop (persistent LMDB theme stores)

Theme regression/snapshot tests in core/sail/lmdb now support reusing a prepared LMDB store across runs.

  • Enable persistent reuse:
    • -Drdf4j.lmdb.themeRegression.persistentStore.enabled=true
  • Optional custom root directory:
    • -Drdf4j.lmdb.themeRegression.persistentStore.root=persistent-lmdb-theme-store
  • Default root directory:
    • persistent-lmdb-theme-store

Behavior:

  • If the store has expected triples/data.mdb and values/data.mdb sizes (from expected-db-file-sizes.properties), tests reuse it and skip rebuild/ingest.
  • If sizes mismatch or the marker file is missing/invalid, tests rebuild the store, then refresh the expected-size file.

Example focused run:

  • mvn -o -Dmaven.repo.local=.m2_repo -pl core/sail/lmdb -Dtest=LmdbThemeQueryRegressionTest#socialMediaFiveCycleInterleavesValuesWithFollowsEdges -Drdf4j.lmdb.themeRegression.persistentStore.enabled=true test

Install command standard

Use this root clean install when a clean build is needed:

mvn -B -ntp \
  -Dmaven.compiler.showWarnings=false \
  -T 1C -o -Dmaven.repo.local=.m2_repo -Pquick clean install 2>&1 \
  | tee maven-build.log \
  | awk '
     /\[WARNING\]/ { next }
      /\[ERROR\]/ { print; next }

      /Reactor Summary/ { summary=1 }
      summary { print }
    '

For install without clean, replace clean install with install. For a module install, add -pl <module> -am before -Pquick. Keep the 2>&1 | tee maven-build.log | awk ... tail on every install variant; keep snapshot logs for CLI output only.

Snapshot diff workflow

Use this when you need semantic plan diffs between two controlled captures of the same query.

  1. Capture baseline run (main/reference commit).
  2. Capture candidate run (changed commit) with same query selector + --query-id.
  3. Produce semantic diff (--compare-existing).
  4. Interpret runtime + diff together.

Commands

Use wrapper (enforces pre-install and optional logging):

  • Baseline:
    • ./.codex/skills/query-plan-snapshot-cli/scripts/run_query_plan_snapshot.sh --log /tmp/qps-baseline.log -- --store memory --theme MEDICAL_RECORDS --query-index 0 --query-id med-q0
  • Candidate:
    • ./.codex/skills/query-plan-snapshot-cli/scripts/run_query_plan_snapshot.sh --log /tmp/qps-candidate.log -- --store memory --theme MEDICAL_RECORDS --query-index 0 --query-id med-q0 --compare-latest --diff-mode structure+estimates
  • Compare existing snapshots explicitly:
    • mvn -o -Dmaven.repo.local=.m2_repo -pl testsuites/benchmark -DskipTests exec:java@query-plan-snapshot -Dexec.args="--compare-existing --query-id med-q0 --compare-indices 1,0 --no-interactive --diff-mode structure+estimates" | tee /tmp/qps-compare.log
  • Summarize improvement/regression signal:
    • python3 ./.codex/skills/query-plan-snapshot-cli/scripts/interpret_query_plan_regression.py --baseline-log /tmp/qps-baseline.log --candidate-log /tmp/qps-candidate.log --comparison-log /tmp/qps-compare.log

Interpretation rule-of-thumb

  • averageMillis down with stable resultCount: improvement signal.
  • averageMillis up with stable resultCount: regression signal.
  • actualResultSizes=diff: semantic/data-shape risk; perf conclusion low confidence.
  • joinAlgorithms=diff or structure=diff: optimizer behavior changed; correlate with runtime delta.
  • estimates=diff only: model/statistics shift; validate with repeated runs.

For more detailed reading patterns and triage prompts, use references/workflow.md.