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Check to see if Lucene's search budget has exhausted when deciding to exact search - #3354

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naveentatikonda merged 1 commit into
opensearch-project:mainfrom
MrFlap:relation-fix
Jun 11, 2026
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Check to see if Lucene's search budget has exhausted when deciding to exact search#3354
naveentatikonda merged 1 commit into
opensearch-project:mainfrom
MrFlap:relation-fix

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@MrFlap

@MrFlap MrFlap commented Jun 2, 2026

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Description

Lucene engine has a check such that it falls back to exact search if we hit a visit limit before finding qualified candidates. This change takes the conditional from Lucene and applies the same logic to Memory Optimized Search.

After this change we will see a more aggressive exact search strategy in MOS when filtered docs are sparse in the graph. We should see a recall gain in low filtering percentages (~1-5%).

Check List

  • New functionality includes testing.
  • New functionality has been documented.
  • API changes companion pull request created.
  • Commits are signed per the DCO using --signoff.
  • Public documentation issue/PR created.

By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.
For more information on following Developer Certificate of Origin and signing off your commits, please check here.

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github-actions Bot commented Jun 2, 2026

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PR Reviewer Guide 🔍

(Review updated until commit 29d324e)

Here are some key observations to aid the review process:

🧪 PR contains tests
🔒 No security concerns identified
✅ No TODO sections
🔀 No multiple PR themes
⚡ Recommended focus areas for review

Null Pointer Risk

exhaustedSearch can be null if knnExplanation.getExhaustedSearch(context.id()) returns null (e.g., when the leaf was not previously recorded). Line 212 checks exhaustedSearch in a boolean context without a null check, which will throw a NullPointerException if the value is null.

final Boolean exhaustedSearch = knnExplanation.getExhaustedSearch(context.id());
if (annResult != null && annResult == 0 && isMissingNativeEngineFiles(context)) {
    sb.append(KNNConstants.EXACT_SEARCH).append(" since no native engine files are available");
}
if (annResult != null && isFilteredExactSearchRequireAfterANNSearch(cardinality, exhaustedSearch, annResult)) {
    boolean isExactSearchDisabled = KNNSettings.isKnnIndexFaissEfficientFilterExactSearchDisabled(knnQuery.getIndexName());
    if (isExactSearchDisabled) {
        sb.append(KNNConstants.ANN_SEARCH)
            .append(", it is not falling back to exact search after ")
            .append(KNNConstants.ANN_SEARCH)
            .append(" search since exact search is disabled,");
    } else if (exhaustedSearch) {
        sb.append(KNNConstants.EXACT_SEARCH).append(" since lucene vector search has exhausted number of steps.");
Null Pointer Risk

At line 689, isFilteredExactSearchRequireAfterANNSearch is called with annSearchBudgetExhausted which can be null if knnExplanation.getExhaustedSearch(context.id()) returns null. The method uses this boolean parameter in a return statement without null checking, risking a NullPointerException when unboxing.

if (isFilteredExactSearchRequireAfterANNSearch(filterIdsCount, annSearchBudgetExhausted, annResultCount)) {

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github-actions Bot commented Jun 2, 2026

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PR Code Suggestions ✨

Latest suggestions up to 29d324e

Explore these optional code suggestions:

CategorySuggestion                                                                                                                                    Impact
Possible issue
Compute budget exhaustion unconditionally

The annSearchBudgetExhausted flag is only set when knnQuery.isExplain() is true.
When explain is disabled, this variable will always be false, potentially skipping
necessary exact search fallback. Store this flag unconditionally to ensure correct
search behavior.

src/main/java/org/opensearch/knn/index/query/KNNWeight.java [351-361]

+int annResultsCount = topDocs.scoreDocs.length;
+boolean annSearchBudgetExhausted = topDocs.totalHits.relation() != TotalHits.Relation.EQUAL_TO;
+
+if (knnQuery.isExplain()) {
+    knnExplanation.addLeafResult(context.id(), annResultsCount);
+    knnExplanation.addExhaustedSearch(context.id(), annSearchBudgetExhausted);
+}
+
 if (isExactSearchRequire(context, filterCardinality, annSearchBudgetExhausted, annResultsCount)) {
-    final BitSetIterator docs = filterWeight != null ? new BitSetIterator(filterBitSet, filterCardinality) : null;
-    final TopDocs result = doExactSearch(context, docs, filterCardinality, k);
Suggestion importance[1-10]: 10

__

Why: This is a critical correctness issue. The annSearchBudgetExhausted flag is only computed and stored when knnQuery.isExplain() is true (lines 354-357), but it's used unconditionally in isExactSearchRequire at line 361. When explain is disabled, the variable will always be false, causing the system to incorrectly skip exact search fallback even when the search budget was exhausted. This directly impacts search correctness.

High
Handle null exhaustedSearch value

Add a null check for exhaustedSearch before passing it to
isFilteredExactSearchRequireAfterANNSearch. If the value is null (e.g., when explain
is disabled), the method will receive null and may cause unexpected behavior or NPE
in boolean operations.

src/main/java/org/opensearch/knn/index/query/KNNWeight.java [201-205]

 final Boolean exhaustedSearch = knnExplanation.getExhaustedSearch(context.id());
 if (annResult != null && annResult == 0 && isMissingNativeEngineFiles(context)) {
     sb.append(KNNConstants.EXACT_SEARCH).append(" since no native engine files are available");
 }
-if (annResult != null && isFilteredExactSearchRequireAfterANNSearch(cardinality, exhaustedSearch, annResult)) {
+if (annResult != null && isFilteredExactSearchRequireAfterANNSearch(cardinality, exhaustedSearch != null && exhaustedSearch, annResult)) {
Suggestion importance[1-10]: 9

__

Why: The exhaustedSearch variable can be null when explain is disabled, but it's passed directly to isFilteredExactSearchRequireAfterANNSearch which expects a boolean primitive. This will cause an NPE when the method tries to use it in boolean operations. The suggestion correctly identifies this critical bug and provides the proper null-safe fix.

High

Previous suggestions

Suggestions up to commit fb4a05c
CategorySuggestion                                                                                                                                    Impact
Possible issue
Track exhaustedSearch regardless of explain mode

The exhaustedSearch flag is only populated when isExplain() is true, but it's used
unconditionally in isExactSearchRequire. This creates a critical bug where exact
search decisions depend on whether explain mode is enabled, leading to inconsistent
search behavior.

src/main/java/org/opensearch/knn/index/query/KNNWeight.java [354-361]

-if (knnQuery.isExplain()) {
-    knnExplanation.addLeafResult(context.id(), annResultsCount);
-    knnExplanation.addExhaustedSearch(context.id(), exhaustedSearch);
-}
-...
+knnExplanation.addLeafResult(context.id(), annResultsCount);
+knnExplanation.addExhaustedSearch(context.id(), exhaustedSearch);
+
 if (isExactSearchRequire(context, filterCardinality, exhaustedSearch, annResultsCount)) {
Suggestion importance[1-10]: 10

__

Why: This identifies a critical bug where exhaustedSearch is only populated when knnQuery.isExplain() is true (lines 354-357), but is used unconditionally in isExactSearchRequire at line 361. This causes search behavior to differ based on whether explain mode is enabled, which is a serious correctness issue affecting core search functionality.

High
Suggestions up to commit a71fc1f
CategorySuggestion                                                                                                                                    Impact
Possible issue
Add null safety check

Add null check for exhaustedSearch before using it in the condition. If
getExhaustedSearch() returns null, this will cause a NullPointerException when
unboxing the Boolean.

src/main/java/org/opensearch/knn/index/query/KNNWeight.java [212-214]

-} else if(exhaustedSearch) {
+} else if(Boolean.TRUE.equals(exhaustedSearch)) {
     sb.append(KNNConstants.EXACT_SEARCH)
             .append(" since lucene vector search has exhausted number of steps.");
Suggestion importance[1-10]: 8

__

Why: The exhaustedSearch variable is a Boolean object that can be null (from getExhaustedSearch()). Using it directly in the condition without null checking will cause a NullPointerException when unboxing. This is a critical bug that needs to be fixed.

Medium
Handle potential null value properly

The exhaustedSearch parameter is a primitive boolean but can receive null from
getExhaustedSearch(). This will cause a NullPointerException when unboxing. Change
the parameter type to Boolean and add null handling.

src/main/java/org/opensearch/knn/index/query/KNNWeight.java [715-722]

-private boolean isFilteredExactSearchRequireAfterANNSearch(final int filterIdsCount, final boolean exhaustedSearch, final int annResultCount) {
+private boolean isFilteredExactSearchRequireAfterANNSearch(final int filterIdsCount, final Boolean exhaustedSearch, final int annResultCount) {
     if(filterWeight == null) {
         return false;
     }
     if(filterIdsCount < knnQuery.getK()) {
         return false;
     }
-    return knnQuery.getK() > annResultCount || exhaustedSearch;
+    return knnQuery.getK() > annResultCount || Boolean.TRUE.equals(exhaustedSearch);
Suggestion importance[1-10]: 8

__

Why: The method signature uses primitive boolean for exhaustedSearch, but it receives a Boolean object from getExhaustedSearch() which can be null. This will cause a NullPointerException during unboxing. The suggestion correctly identifies this issue and proposes using Boolean with null-safe comparison.

Medium
General
Correct exhausted search detection logic

The logic for determining exhausted search may be incorrect. According to Lucene
documentation, GREATER_THAN_OR_EQUAL_TO indicates the search was exhausted or hit a
limit. Consider checking if the relation equals GREATER_THAN_OR_EQUAL_TO instead.

src/main/java/org/opensearch/knn/index/query/KNNWeight.java [353]

-boolean exhaustedSearch = topDocs.totalHits.relation() != TotalHits.Relation.EQUAL_TO;
+boolean exhaustedSearch = topDocs.totalHits.relation() == TotalHits.Relation.GREATER_THAN_OR_EQUAL_TO;
Suggestion importance[1-10]: 7

__

Why: The current logic uses != to check if the relation is not EQUAL_TO, but according to Lucene semantics, GREATER_THAN_OR_EQUAL_TO specifically indicates the search was exhausted. The suggested change makes the logic more explicit and correct, though the current implementation may work in practice if there are only two possible values.

Medium

@navneet1v

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@MrFlap what is the impact of this change? can you please add some details on that part

@MrFlap

MrFlap commented Jun 2, 2026

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@navneet1v the impact of the change is that we will do exact search more aggressively on queries where filtered documents are sparse. Adding this to the PR description. Keeping it as a draft since I still need to write tests and do benchmarking on 1% case to make sure this actually closes the gap.

@github-actions

github-actions Bot commented Jun 2, 2026

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Persistent review updated to latest commit fb4a05c

@MrFlap

MrFlap commented Jun 3, 2026

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PR Code Suggestions ✨

Latest suggestions up to fb4a05c Explore these optional code suggestions:
Category **Suggestion ** Impact
Possible issue
Track exhaustedSearch regardless of explain mode

The exhaustedSearch flag is only populated when isExplain() is true, but it's used unconditionally in isExactSearchRequire. This creates a critical bug where exact search decisions depend on whether explain mode is enabled, leading to inconsistent search behavior.

src/main/java/org/opensearch/knn/index/query/KNNWeight.java [354-361]

-if (knnQuery.isExplain()) {
-    knnExplanation.addLeafResult(context.id(), annResultsCount);
-    knnExplanation.addExhaustedSearch(context.id(), exhaustedSearch);
-}
-...
+knnExplanation.addLeafResult(context.id(), annResultsCount);
+knnExplanation.addExhaustedSearch(context.id(), exhaustedSearch);
+
 if (isExactSearchRequire(context, filterCardinality, exhaustedSearch, annResultsCount)) {

Suggestion importance[1-10]: 10

High

Previous suggestions

Suggestions up to commit a71fc1f

This is just not true. We only insert to knnExplanation for the purpose of explain. That function does not alter search behavior.

@codecov

codecov Bot commented Jun 8, 2026

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Codecov Report

❌ Patch coverage is 90.47619% with 2 lines in your changes missing coverage. Please review.
✅ Project coverage is 83.75%. Comparing base (ffae669) to head (29d324e).

Files with missing lines Patch % Lines
...java/org/opensearch/knn/index/query/KNNWeight.java 87.50% 1 Missing and 1 partial ⚠️
Additional details and impacted files
@@            Coverage Diff            @@
##               main    #3354   +/-   ##
=========================================
  Coverage     83.75%   83.75%           
- Complexity     4354     4359    +5     
=========================================
  Files           453      453           
  Lines         15759    15773   +14     
  Branches       2052     2056    +4     
=========================================
+ Hits          13199    13211   +12     
- Misses         1774     1776    +2     
  Partials        786      786           

☔ View full report in Codecov by Harness.
📢 Have feedback on the report? Share it here.

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  • ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.

@MrFlap
MrFlap marked this pull request as ready for review June 9, 2026 22:44
Comment thread src/main/java/org/opensearch/knn/index/query/KNNWeight.java Outdated
Comment thread src/main/java/org/opensearch/knn/index/query/KNNWeight.java
… exact search

Signed-off-by: Andrew Klepchick <aklepchi@amazon.com>
@github-actions

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Persistent review updated to latest commit 29d324e

@navneet1v

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Code looks good to me.

Comment thread src/main/java/org/opensearch/knn/index/query/KNNWeight.java
Comment thread src/main/java/org/opensearch/knn/index/query/KNNWeight.java
Comment thread src/main/java/org/opensearch/knn/index/query/KNNWeight.java
Comment thread src/main/java/org/opensearch/knn/index/query/KNNWeight.java
@naveentatikonda
naveentatikonda merged commit 204ba16 into opensearch-project:main Jun 11, 2026
59 of 74 checks passed
naveentatikonda pushed a commit that referenced this pull request Jun 18, 2026
* Enhance unit test coverage for 32x defaults

Signed-off-by: Kunal Kotwani <kkotwani@amazon.com>

* Add BwC test coverage (#3329)

Signed-off-by: Kunal Kotwani <kkotwani@amazon.com>

* Add base64 binary encoding as default format for knn_vector docvalue_fields (#3324)

Signed-off-by: Navneet Verma <navneev@amazon.com>

* Add issues write permission to untriaged label workflow (#3332)

Signed-off-by: shreyah963 <shreyab963@gmail.com>

* Fix score to radius conversion for IP with faiss (#3336)

Signed-off-by: Kunal Kotwani <kkotwani@amazon.com>
Co-authored-by: Tejas Shah <shatejas@amazon.com>

* Add ci.opensearch.org maven2 mirror to avoid throttling (#3345)

Signed-off-by: Sayali Gaikawad <gaiksaya@amazon.com>

* [AUTO] Add release notes for 3.7.0 (#3342)

Signed-off-by: opensearch-ci-bot <opensearch-infra@amazon.com>

* Fix derived source for mixed-case vector fields (#3313)

* Fix derived source for mixed-case vector fields

Signed-off-by: Wonjae Lee <wonjae.lee@dremio.com>

* Add BWC coverage for derived source field casing

Signed-off-by: Wonjae Lee <wonjae.lee@dremio.com>

* Add changelog entry for mixed-case derived source fix

Signed-off-by: Wonjae Lee <wonjae.lee@dremio.com>

* Handle case-insensitive conflicts by preferring vector field

Signed-off-by: Wonjae Lee <wonjae.lee@dremio.com>

* Avoid stream wrappers for derived field lookup

Signed-off-by: Wonjae Lee <wonjae.lee@dremio.com>

* Handle ambiguous case-insensitive matches without vector hints

Signed-off-by: Wonjae Lee <wonjae.lee@dremio.com>

* Update src/main/java/org/opensearch/knn/index/codec/KNN10010Codec/KNN10010DerivedSourceStoredFieldsFormat.java

Co-authored-by: Tejas Shah <shatejas@amazon.com>
Signed-off-by: Wonjae Lee <38933452+leewjae@users.noreply.github.com>

* Apply spotless formatting for derived source field resolution

Signed-off-by: Wonjae Lee <wonjae.lee@dremio.com>

* Avoid guessing when case-insensitive matches lack vector hints

Signed-off-by: Wonjae Lee <wonjae.lee@dremio.com>

* Simplify case-insensitive derived field matching

Signed-off-by: Wonjae Lee <wonjae.lee@dremio.com>

* Trigger CI rerun for BWC investigation

Signed-off-by: Wonjae Lee <wonjae.lee@dremio.com>

* Add native engine field info coverage

Signed-off-by: Wonjae Lee <wonjae.lee@dremio.com>

---------

Signed-off-by: Wonjae Lee <wonjae.lee@dremio.com>
Signed-off-by: Wonjae Lee <38933452+leewjae@users.noreply.github.com>
Signed-off-by: Tejas Shah <shatejas@amazon.com>
Co-authored-by: Tejas Shah <shatejas@amazon.com>
Co-authored-by: Navneet Verma <navneev@amazon.com>

* Fixes RescoreParser to pass the rescore flag (#3343)

* Fixes RescoreParser to pass the rescore flag

For multinode or coordinator-data node setup, rescore set to false is
not passed through streams. This causes rescoring to execute even when
its not disabled explicitly by user

Signed-off-by: Tejas Shah <shatejas@amazon.com>

* Updates Changelogs, improves code cov

Signed-off-by: Tejas Shah <shatejas@amazon.com>

* Makes the coordinator port dynamic

Signed-off-by: Tejas Shah <shatejas@amazon.com>

* Adds BWC test for mode and compression

Signed-off-by: Tejas Shah <shatejas@amazon.com>

* Does not create compressed indices before 2.18

Signed-off-by: Tejas Shah <shatejas@amazon.com>

* Fixes bwc

Signed-off-by: Tejas Shah <shatejas@amazon.com>

---------

Signed-off-by: Tejas Shah <shatejas@amazon.com>

* Merge rescore-radial-quantized feature branch to main (#3347)

* Rescoring after radial search on quantized index. [Task 1 - 4] (#3300)

* Bumped gradle to 9.4.1 and jacoco to 0.8.14 (#3308)

Signed-off-by: Andrew Klepchick <aklepchi@amazon.com>

* Use KNN1040ScalarQuantizedVectorsFormat for Faiss SQ flat format (#3302)

The Faiss SQ format was using Lucene's Lucene104ScalarQuantizedVectorsFormat
directly, which lacks the prefetch-enabled raw vector reader that
KNN1040ScalarQuantizedVectorsFormat provides. This meant exact search
rescoring was missing I/O prefetch during graph traversal.

Changes:
- Switch faissSqFlatFormat from Lucene104ScalarQuantizedVectorsFormat to
  KNN1040ScalarQuantizedVectorsFormat in Faiss1040ScalarQuantizedKnnVectorsFormat
- Add @VisibleForTesting getFlatVectorsReader() to
  Faiss1040ScalarQuantizedKnnVectorsReader to replace reflection in tests
- Add testGetRandomVectorScorer_returnsPrefetchableScorer in
  KNN1040ScalarQuantizedVectorsFormatTests verifying the scorer is
  PrefetchableRandomVectorScorer via a real write/read cycle
- Replace reflection with getter in
  Faiss1040ScalarQuantizedKnnVectorsFormatTests.testFieldsReader_thenWrapsFlatReaderWithPrefetchSupport

Signed-off-by: Vijayan Balasubramanian <balasvij@amazon.com>

* Allow minScore, maxDistance for 32x SQ index.

Signed-off-by: Dooyong Kim <kdooyong@amazon.com>

Pass compression and quantization config to RNN query builder.

Signed-off-by: Dooyong Kim <kdooyong@amazon.com>

Added RescoreRadialSearchQuery.

Signed-off-by: Dooyong Kim <kdooyong@amazon.com>

Wiring `RescoreRadialSearchQuery` wrapper in `RNNQueryFactory`

Signed-off-by: Dooyong Kim <kdooyong@amazon.com>

---------

Signed-off-by: Andrew Klepchick <aklepchi@amazon.com>
Signed-off-by: Vijayan Balasubramanian <balasvij@amazon.com>
Signed-off-by: Dooyong Kim <kdooyong@amazon.com>
Co-authored-by: Andrew Klepchick <aklepchi@amazon.com>
Co-authored-by: Vijayan Balasubramanian <balasvij@amazon.com>

* Rescore radial search quantized complete (#3337)

* Added exact search logic after radial.

Signed-off-by: Dooyong Kim <kdooyong@amazon.com>

* Adding 2nd rescoring after radial search on quantized index.

Signed-off-by: Dooyong Kim <kdooyong@amazon.com>

---------

Signed-off-by: Dooyong Kim <kdooyong@amazon.com>

* Update changelog

Signed-off-by: Dooyong Kim <kdooyong@amazon.com>

---------

Signed-off-by: Andrew Klepchick <aklepchi@amazon.com>
Signed-off-by: Vijayan Balasubramanian <balasvij@amazon.com>
Signed-off-by: Dooyong Kim <kdooyong@amazon.com>
Co-authored-by: Andrew Klepchick <aklepchi@amazon.com>
Co-authored-by: Vijayan Balasubramanian <balasvij@amazon.com>

* Add support for binary and byte field support in doc_values (#3340)

Signed-off-by: Navneet Verma <navneev@amazon.com>

* Pin GitHub Actions to commit SHAs (#3339)

Signed-off-by: Divya Madala <divyaasm@amazon.com>
Co-authored-by: Tejas Shah <shatejas@amazon.com>

* Turn off ACORN for MOS (#3346)

Signed-off-by: Andrew Klepchick <aklepchi@amazon.com>

* Add base64 encoded vector indexing support for knn_vector fields (#3350)

Vectors can now be indexed as base64-encoded strings in addition to JSON
arrays. Float vectors use little-endian byte encoding (symmetric with
the doc_values binary output format), while byte/binary vectors use raw
byte encoding. This enables efficient bulk ingestion pipelines that
avoid JSON array serialization overhead.

Signed-off-by: Navneet Verma <navneev@amazon.com>

* Made MemoryOptimizedSearchWarmup skip MemoryOptimizedSearchOldIndicesNotSupportedException. (#3344)

Signed-off-by: Dooyong Kim <kdooyong@amazon.com>
Signed-off-by: Doo Yong Kim <kdooyong@amazon.com>

* Integrated proper ef_search functionality into MOS and Lucene with oversample_factor (#3331)

* Check to see if Lucene's search budget has exhausted when deciding to exact search (#3354)

* Update opensearch-build workflow references from commit SHA to main (#3363)

Signed-off-by: Divya Madala <divyaasm@amazon.com>

* Pinned the commit for tj-actions/changed-files for version v47.0.0 (#3367)

Signed-off-by: Navneet Verma <navneev@amazon.com>

---------

Signed-off-by: Kunal Kotwani <kkotwani@amazon.com>
Signed-off-by: Navneet Verma <navneev@amazon.com>
Signed-off-by: shreyah963 <shreyab963@gmail.com>
Signed-off-by: Sayali Gaikawad <gaiksaya@amazon.com>
Signed-off-by: opensearch-ci-bot <opensearch-infra@amazon.com>
Signed-off-by: Wonjae Lee <wonjae.lee@dremio.com>
Signed-off-by: Wonjae Lee <38933452+leewjae@users.noreply.github.com>
Signed-off-by: Tejas Shah <shatejas@amazon.com>
Signed-off-by: Andrew Klepchick <aklepchi@amazon.com>
Signed-off-by: Vijayan Balasubramanian <balasvij@amazon.com>
Signed-off-by: Dooyong Kim <kdooyong@amazon.com>
Signed-off-by: Divya Madala <divyaasm@amazon.com>
Signed-off-by: Doo Yong Kim <kdooyong@amazon.com>
Co-authored-by: Navneet Verma <navneev@amazon.com>
Co-authored-by: Shreya Bhatta <shreyab963@gmail.com>
Co-authored-by: Tejas Shah <shatejas@amazon.com>
Co-authored-by: Sayali Gaikawad <gaiksaya@amazon.com>
Co-authored-by: opensearch-ci <83309141+opensearch-ci-bot@users.noreply.github.com>
Co-authored-by: Wonjae Lee <38933452+leewjae@users.noreply.github.com>
Co-authored-by: Doo Yong Kim <kdooyong@amazon.com>
Co-authored-by: Andrew Klepchick <aklepchi@amazon.com>
Co-authored-by: Vijayan Balasubramanian <balasvij@amazon.com>
Co-authored-by: Divya Madala <113469545+Divyaasm@users.noreply.github.com>
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4 participants