Add profiling support to unified query API#5268
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dai-chen merged 1 commit intoopensearch-project:mainfrom Mar 27, 2026
Merged
Add profiling support to unified query API#5268dai-chen merged 1 commit intoopensearch-project:mainfrom
dai-chen merged 1 commit intoopensearch-project:mainfrom
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Add query profiling infrastructure that measures time spent in each query phase (analyze, optimize, execute, format). Profiling is opt-in via UnifiedQueryContext.builder().profiling(true) and uses thread-local context to avoid passing profiling state through every method. Key changes: - QueryProfiling/ProfileContext for thread-local profiling lifecycle - UnifiedQueryContext.measure() API for timing arbitrary phases - Auto-profiling in UnifiedQueryPlanner (analyze) and compiler (optimize) - UnifiedQueryTestBase shared test fixture for unified query tests - Comprehensive profiling tests with non-flaky >= 0 timing assertions Signed-off-by: Chen Dai <daichen@amazon.com>
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requested review from
LantaoJin,
Swiddis,
acarbonetto,
anirudha,
joshuali925,
mengweieric,
noCharger,
penghuo,
ps48,
vamsimanohar and
ykmr1224
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dai-chen
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ahkcs,
qianheng-aws,
songkant-aws and
yuancu
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ahkcs
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Mar 26, 2026
penghuo
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Mar 27, 2026
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Description
This PR enables profiling capability in the unified query API so external consumers (OpenSearch, Spark, CLI) can collect per-phase timing metrics without depending on the REST-specific
QueryContextlayer.Implementation Notes
profile=truein the REST API, but hides the internal profiling abstraction behindUnifiedQueryContext.measure()API outside: Each unified query component auto-profiles its phase and provide measure API for code outside unified query components, e.g.,PreparedStatement.executeQuery(), response formatting.Related Issues
Part of #5248
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