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@andrest50 andrest50 commented Dec 22, 2025

Ticket

LFXV2-924

Summary

Optimized OpenSearch query performance by switching from query context (must clauses) to filter context for exact-match term queries. This change provides a 30% performance improvement with 4x better consistency at scale.

Performance Results (10M documents, 50 iterations)

Metric Query Context (must) Filter Context Improvement
Average 136ms 94ms 30% faster
Median 132ms 93ms 30% faster
Min 129ms 90ms 30% faster
Max 197ms 106ms 46% faster
Variance 68ms 16ms 4x more consistent

Why Filter Context Is Better

  1. No Score Calculation - Skips relevance scoring for exact-match queries
  2. Better Caching - Filter clauses are cached by OpenSearch
  3. Lower CPU Usage - Simple boolean logic vs scoring computation
  4. More Predictable - Significantly lower variance in query times

Changes

Changed all exact-match term queries in the OpenSearch query template from must clauses to filter clauses:

  • latest field
  • public field
  • object_type field
  • parent_refs field
  • tags field (in TagsAll)

The should clauses for optional tag matching remain in query context as intended.

Test Plan

  • Ran benchmark comparing query vs filter context on 10M documents
  • Verified result consistency (both return same document counts)
  • Confirmed no functional changes, only performance optimization
  • All existing tests should pass (no behavior changes)

🤖 Generated with Claude Code

@andrest50 andrest50 requested a review from a team as a code owner December 22, 2025 21:31
Copilot AI review requested due to automatic review settings December 22, 2025 21:31
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coderabbitai bot commented Dec 22, 2025

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Walkthrough

The OpenSearch bool query in internal/infrastructure/opensearch/template.go was changed to use a "filter" clause group instead of "must", moving the AND-style clauses to non-scoring/filter context while preserving the rest of the query structure.

Changes

Cohort / File(s) Change Summary
OpenSearch query & tests
internal/infrastructure/opensearch/template.go, internal/infrastructure/opensearch/searcher_test.go
Switched the bool query's primary clause group from "must" to "filter"; updated unit tests to expect "filter" in rendered queries. Query structure and conditionals otherwise unchanged.
Documentation
README.md
Formatting and content adjustments (whitespace, line breaks, bullets, link targets); no functional code changes.

Estimated code review effort

🎯 2 (Simple) | ⏱️ ~10 minutes

Pre-merge checks and finishing touches

❌ Failed checks (1 warning)
Check name Status Explanation Resolution
Docstring Coverage ⚠️ Warning Docstring coverage is 0.00% which is insufficient. The required threshold is 80.00%. You can run @coderabbitai generate docstrings to improve docstring coverage.
✅ Passed checks (4 passed)
Check name Status Explanation
Title check ✅ Passed The title accurately reflects the main change: switching from 'must' to 'filter' in OpenSearch queries for performance optimization, which is the primary focus of the PR.
Description check ✅ Passed The description provides comprehensive context including benchmark results, rationale, specific fields changed, and test verification, all directly related to the OpenSearch query optimization changes.
Linked Issues check ✅ Passed The PR fully addresses LFXV2-924's requirement to replace 'must' clauses with 'filter' clauses for non-scoring queries, with changes to template.go and corresponding test updates confirming the implementation.
Out of Scope Changes check ✅ Passed The PR contains only the targeted performance optimization changes plus necessary documentation updates; all modifications directly support the filter-context optimization objective.
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  • Commit unit tests in branch andrest50/query-filter

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  • README.md
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internal/infrastructure/opensearch/**

📄 CodeRabbit inference engine (CLAUDE.md)

Put OpenSearch implementations for resource search under internal/infrastructure/opensearch/

Files:

  • internal/infrastructure/opensearch/searcher_test.go
**/*_test.go

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Name Go test files with the *_test.go suffix and keep them alongside implementation files

Files:

  • internal/infrastructure/opensearch/searcher_test.go
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🔇 Additional comments (2)
internal/infrastructure/opensearch/searcher_test.go (2)

277-283: LGTM! Test expectation correctly updated for filter context.

The change from expecting "must" to "filter" correctly validates that TagsAll queries now use filter context (non-scoring) instead of query context, aligning with the PR's performance optimization objectives.


285-292: LGTM! Test correctly validates mixed query contexts.

The updated expectation correctly verifies that:

  • TagsAll (AND logic) uses "filter" context for performance
  • Tags (OR logic) continues using "should" (query context) for scoring

This aligns with the PR objective that "should clauses for optional tag matching remain in query context."


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Pull request overview

This PR optimizes OpenSearch query performance by converting exact-match term queries from query context (must clauses) to filter context (filter clauses), achieving a 30% performance improvement and 4x better consistency based on benchmark results with 10M documents.

Key Changes:

  • Changed the query template from using must to filter for all queries in the main boolean clause
  • Leverages OpenSearch's filter context caching and elimination of scoring overhead for exact-match queries

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Actionable comments posted: 0

Caution

Some comments are outside the diff and can’t be posted inline due to platform limitations.

⚠️ Outside diff range comments (1)
internal/infrastructure/opensearch/template.go (1)

12-66: multi_match query for .Name should not be moved to filter context without explicit intent.

The code moves the multi_match query (lines 44-55) to filter context, but the PR description lists only exact-match term queries for latest, public, object_type, parent_refs, and tags — it does not mention the name field.

This is a behavioral change: multi_match queries in filter context do not contribute to relevance scoring, so name matches will no longer affect result ranking. All matching results are treated equally (binary: match or no-match).

The tests use Name criteria but with mocked responses (all with Score: 1.0) and do not validate result ordering for name-based searches. The query template does specify explicit sort (lines 90-97), which can override _score, but the impact of removing scoring should be verified.

Required action: Clarify whether moving multi_match to filter is intentional, update the PR description accordingly, and verify result ordering for name-based searches is unaffected (either by explicit sort or confirmed no-op).

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Reviewing files that changed from the base of the PR and between 963b99e and cc47049.

📒 Files selected for processing (1)
  • internal/infrastructure/opensearch/template.go
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internal/infrastructure/opensearch/**

📄 CodeRabbit inference engine (CLAUDE.md)

Put OpenSearch implementations for resource search under internal/infrastructure/opensearch/

Files:

  • internal/infrastructure/opensearch/template.go
⏰ Context from checks skipped due to timeout of 90000ms. You can increase the timeout in your CodeRabbit configuration to a maximum of 15 minutes (900000ms). (3)
  • GitHub Check: CodeQL analysis (go)
  • GitHub Check: Agent
  • GitHub Check: MegaLinter

…mprovement

Changed from query context (must clauses) to filter context for exact-match
term queries. Benchmark results on 10M documents show:

- Query context (must): 136ms avg, 68ms variance
- Filter context: 94ms avg, 16ms variance
- 30% performance improvement with 4x better consistency

Filter context provides:
- No score calculation overhead
- Better query caching
- Lower CPU usage
- More predictable latency

All exact-match queries (latest, public, object_type, parent_refs, tags)
now use filter clauses instead of must clauses.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Signed-off-by: Andres Tobon <[email protected]>
"query": {
"bool": {
"must": [
"filter": [
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Thank you for collecting all the performance results. Nice work!

Based on the tradeoffs, maybe we should include a conditional to use must for the name query parameter (I think we still need some querying using relevance/scoring, which I understand must is built for) and use filter for the others (exact match). For example:

{
    "size": 50,
    "query": {
        "bool": {
            "must": [
                {
                    "multi_match": {
                        "query": "linux fouDNation",
                        "type": "bool_prefix",
                        "fields": [
                            "name_and_aliases",
                            "name_and_aliases._2gram",
                            "name_and_aliases._3gram"
                        ]
                    }
                }
            ],
            "filter": [
                {
                    "term": {
                        "latest": true
                    }
                },
                {
                    "term": {
                        "object_type": "project"
                    }
                },
                {
                    "term": {
                        "data.category": "Sandbox"
                    }
                },
                {
                    "term": {
                        "parent_refs": "project:16b22a7a-0992-4f4a-a825-534669bde81d"
                    }
                }
            ]
        }
    },
    "sort": [
        ...
    ]
}

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This is good. Thank you! Eric had told me that using the filter clause doesn't really make sense for the search - you might be right that some terms could use filter and others must, although for now I'm going to close the PR.

@andrest50
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We don't want to switch to using the filter clause at this time, because the search wouldn't work as intended without the scoring.

@andrest50 andrest50 closed this Jan 26, 2026
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3 participants