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Merged
merged 9 commits into from
Apr 3, 2025
Merged

Inner hits support with hybrid query #1253

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1264d4e
Inner Hits in Hybrid query
vibrantvarun Mar 28, 2025
f6e325d
rebase with main
vibrantvarun Mar 28, 2025
416293f
Inner hits support with hybrid query
vibrantvarun Apr 1, 2025
597fcd4
rebasing PR
vibrantvarun Apr 1, 2025
e74d7e9
Add changelog
vibrantvarun Apr 1, 2025
c1ff50c
fix integ tests
vibrantvarun Apr 1, 2025
977ad71
Modify comment
vibrantvarun Apr 1, 2025
76f7d97
Explain test case
vibrantvarun Apr 2, 2025
0c9bcc3
Optimize inner hits count calculation method
vibrantvarun Apr 2, 2025
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1 change: 1 addition & 0 deletions CHANGELOG.md
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Expand Up @@ -13,6 +13,7 @@ The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
- Optimize embedding generation in Text Embedding Processor ([#1191](https://github.com/opensearch-project/neural-search/pull/1191))
- Optimize embedding generation in Sparse Encoding Processor ([#1246](https://github.com/opensearch-project/neural-search/pull/1246))
- Optimize embedding generation in Text/Image Embedding Processor ([#1249](https://github.com/opensearch-project/neural-search/pull/1249))
- Inner hits support with hybrid query ([#1253](https://github.com/opensearch-project/neural-search/pull/1253))

### Enhancements

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1 change: 1 addition & 0 deletions build.gradle
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Expand Up @@ -285,6 +285,7 @@ dependencies {
testFixturesCompileOnly group: 'com.google.guava', name: 'guava', version:'32.1.3-jre'
testFixturesImplementation fileTree(dir: knnJarDirectory, include: ["opensearch-knn-${opensearch_build}.jar", "remote-index-build-client-${opensearch_build}.jar"])
testImplementation fileTree(dir: knnJarDirectory, include: ["opensearch-knn-${opensearch_build}.jar", "remote-index-build-client-${opensearch_build}.jar"])
testImplementation "org.opensearch.plugin:parent-join-client:${opensearch_version}"
}

// In order to add the jar to the classpath, we need to unzip the
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17 changes: 17 additions & 0 deletions src/main/java/org/opensearch/neuralsearch/query/HybridQueryBuilder.java
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Expand Up @@ -10,6 +10,7 @@
import java.util.List;
import java.util.ListIterator;
import java.util.Locale;
import java.util.Map;
import java.util.Objects;
import java.util.stream.Collectors;

Expand All @@ -25,6 +26,7 @@
import org.opensearch.core.xcontent.XContentParser;
import org.opensearch.index.IndexSettings;
import org.opensearch.index.query.AbstractQueryBuilder;
import org.opensearch.index.query.InnerHitContextBuilder;
import org.opensearch.index.query.QueryBuilder;
import org.opensearch.index.query.QueryRewriteContext;
import org.opensearch.index.query.QueryShardContext;
Expand Down Expand Up @@ -392,4 +394,19 @@ public void visit(QueryBuilderVisitor visitor) {
subQueryBuilder.visit(subVisitor);
}
}

/**
* Extracts the inner hits from the hybrid query tree structure.
* While it extracts inner hits, child inner hits are inlined into the inner hit builder they belong to.
* This implementation handles inner hits for all sub-queries within the hybrid query.
*
* @param innerHits the map to collect inner hit contexts, where the key is the inner hit name
* and the value is the corresponding inner hit context builder
*/
@Override
protected void extractInnerHitBuilders(Map<String, InnerHitContextBuilder> innerHits) {
for (QueryBuilder queryBuilder : queries) {
InnerHitContextBuilder.extractInnerHits(queryBuilder, innerHits);
}
}
}
77 changes: 51 additions & 26 deletions src/test/java/org/opensearch/neuralsearch/query/HybridQueryAggregationsIT.java
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Expand Up @@ -482,6 +482,7 @@ private void prepareResourcesForNestegAggregationsScenario(String index) throws
index,
buildIndexConfiguration(
List.of(new KNNFieldConfig("location", 2, TEST_SPACE_TYPE)),
Map.of(),
List.of(),
List.of(),
List.of(FLOAT_FIELD_NAME_IMDB),
Expand Down Expand Up @@ -701,105 +702,123 @@ private void initializeIndexIfNotExist(String indexName) throws IOException {
&& !indexExists(TEST_MULTI_DOC_INDEX_WITH_TEXT_AND_INT_MULTIPLE_SHARDS)) {
createIndexWithConfiguration(
indexName,
buildIndexConfiguration(List.of(), List.of(), List.of(INTEGER_FIELD_1), List.of(KEYWORD_FIELD_1), List.of(DATE_FIELD_1), 3),
buildIndexConfiguration(List.of(), Map.of(), List.of(INTEGER_FIELD_1), List.of(KEYWORD_FIELD_1), List.of(DATE_FIELD_1), 3),
""
);

addKnnDoc(
indexTheDocument(
indexName,
"1",
List.of(),
List.of(),
Collections.singletonList(TEST_TEXT_FIELD_NAME_1),
Collections.singletonList(TEST_DOC_TEXT1),
List.of(),
List.of(),
Map.of(),
List.of(INTEGER_FIELD_1, INTEGER_FIELD_PRICE),
List.of(INTEGER_FIELD_1_VALUE, INTEGER_FIELD_PRICE_1_VALUE),
List.of(KEYWORD_FIELD_1),
List.of(KEYWORD_FIELD_1_VALUE),
List.of(DATE_FIELD_1),
List.of(DATE_FIELD_1_VALUE)
List.of(DATE_FIELD_1_VALUE),
List.of(),
List.of(),
null
);
addKnnDoc(
indexTheDocument(
indexName,
"2",
List.of(),
List.of(),
Collections.singletonList(TEST_TEXT_FIELD_NAME_1),
Collections.singletonList(TEST_DOC_TEXT3),
List.of(),
List.of(),
Map.of(),
List.of(INTEGER_FIELD_1, INTEGER_FIELD_PRICE),
List.of(INTEGER_FIELD_2_VALUE, INTEGER_FIELD_PRICE_2_VALUE),
List.of(),
List.of(),
List.of(DATE_FIELD_1),
List.of(DATE_FIELD_2_VALUE)
List.of(DATE_FIELD_2_VALUE),
List.of(),
List.of(),
null
);
addKnnDoc(
indexTheDocument(
indexName,
"3",
List.of(),
List.of(),
Collections.singletonList(TEST_TEXT_FIELD_NAME_1),
Collections.singletonList(TEST_DOC_TEXT2),
List.of(),
List.of(),
Map.of(),
List.of(INTEGER_FIELD_PRICE),
List.of(INTEGER_FIELD_PRICE_3_VALUE),
List.of(KEYWORD_FIELD_1),
List.of(KEYWORD_FIELD_2_VALUE),
List.of(DATE_FIELD_1),
List.of(DATE_FIELD_3_VALUE)
List.of(DATE_FIELD_3_VALUE),
List.of(),
List.of(),
null
);
addKnnDoc(
indexTheDocument(
indexName,
"4",
List.of(),
List.of(),
Collections.singletonList(TEST_TEXT_FIELD_NAME_1),
Collections.singletonList(TEST_DOC_TEXT4),
List.of(),
List.of(),
Map.of(),
List.of(INTEGER_FIELD_1, INTEGER_FIELD_PRICE),
List.of(INTEGER_FIELD_3_VALUE, INTEGER_FIELD_PRICE_4_VALUE),
List.of(KEYWORD_FIELD_1),
List.of(KEYWORD_FIELD_3_VALUE),
List.of(DATE_FIELD_1),
List.of(DATE_FIELD_2_VALUE)
List.of(DATE_FIELD_2_VALUE),
List.of(),
List.of(),
null
);
addKnnDoc(
indexTheDocument(
indexName,
"5",
List.of(),
List.of(),
Collections.singletonList(TEST_TEXT_FIELD_NAME_1),
Collections.singletonList(TEST_DOC_TEXT5),
List.of(),
List.of(),
Map.of(),
List.of(INTEGER_FIELD_1, INTEGER_FIELD_PRICE),
List.of(INTEGER_FIELD_3_VALUE, INTEGER_FIELD_PRICE_5_VALUE),
List.of(KEYWORD_FIELD_1),
List.of(KEYWORD_FIELD_4_VALUE),
List.of(DATE_FIELD_1),
List.of(DATE_FIELD_4_VALUE)
List.of(DATE_FIELD_4_VALUE),
List.of(),
List.of(),
null
);
addKnnDoc(
indexTheDocument(
indexName,
"6",
List.of(),
List.of(),
Collections.singletonList(TEST_TEXT_FIELD_NAME_1),
Collections.singletonList(TEST_DOC_TEXT6),
List.of(),
List.of(),
Map.of(),
List.of(INTEGER_FIELD_1, INTEGER_FIELD_PRICE),
List.of(INTEGER_FIELD_4_VALUE, INTEGER_FIELD_PRICE_6_VALUE),
List.of(KEYWORD_FIELD_1),
List.of(KEYWORD_FIELD_4_VALUE),
List.of(DATE_FIELD_1),
List.of(DATE_FIELD_4_VALUE)
List.of(DATE_FIELD_4_VALUE),
List.of(),
List.of(),
null
);
}
}
Expand All @@ -809,42 +828,48 @@ private void initializeIndexWithOneShardIfNotExists(String indexName) {
if (!indexExists(indexName)) {
createIndexWithConfiguration(
indexName,
buildIndexConfiguration(List.of(), List.of(), List.of(INTEGER_FIELD_1), List.of(KEYWORD_FIELD_1), List.of(), 1),
buildIndexConfiguration(List.of(), Map.of(), List.of(INTEGER_FIELD_1), List.of(KEYWORD_FIELD_1), List.of(), 1),
""
);

addKnnDoc(
indexTheDocument(
indexName,
"1",
List.of(),
List.of(),
Collections.singletonList(TEST_TEXT_FIELD_NAME_1),
Collections.singletonList(TEST_DOC_TEXT1),
List.of(),
List.of(),
Map.of(),
List.of(INTEGER_FIELD_1),
List.of(INTEGER_FIELD_1_VALUE),
List.of(),
List.of(),
List.of(),
List.of()
List.of(),
List.of(),
List.of(),
null
);

addKnnDoc(
indexTheDocument(
indexName,
"2",
List.of(),
List.of(),
Collections.singletonList(TEST_TEXT_FIELD_NAME_1),
Collections.singletonList(TEST_DOC_TEXT3),
List.of(),
List.of(),
Map.of(),
List.of(INTEGER_FIELD_1),
List.of(INTEGER_FIELD_2_VALUE),
List.of(),
List.of(),
List.of(),
List.of()
List.of(),
List.of(),
List.of(),
null
);
}
}
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48 changes: 48 additions & 0 deletions src/test/java/org/opensearch/neuralsearch/query/HybridQueryBuilderTests.java
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Expand Up @@ -18,6 +18,7 @@
import static org.opensearch.neuralsearch.query.NeuralQueryBuilder.MODEL_ID_FIELD;
import static org.opensearch.neuralsearch.query.NeuralQueryBuilder.QUERY_TEXT_FIELD;

import java.util.HashMap;
import java.util.HashSet;
import java.util.Iterator;
import java.util.List;
Expand All @@ -31,6 +32,7 @@
import org.apache.lucene.search.MatchNoDocsQuery;
import org.apache.lucene.search.Query;
import org.apache.lucene.search.TermQuery;
import org.apache.lucene.search.join.ScoreMode;
import org.mockito.Mock;
import org.mockito.MockitoAnnotations;
import org.opensearch.Version;
Expand All @@ -56,8 +58,12 @@
import org.opensearch.index.IndexSettings;
import org.opensearch.index.mapper.MappedFieldType;
import org.opensearch.index.mapper.TextFieldMapper;
import org.opensearch.index.query.InnerHitBuilder;
import org.opensearch.index.query.InnerHitContextBuilder;
import org.opensearch.index.query.BoolQueryBuilder;
import org.opensearch.index.query.MatchAllQueryBuilder;
import org.opensearch.index.query.MatchQueryBuilder;
import org.opensearch.index.query.NestedQueryBuilder;
import org.opensearch.index.query.QueryBuilder;
import org.opensearch.index.query.QueryBuilders;
import org.opensearch.index.query.QueryShardContext;
Expand Down Expand Up @@ -1096,6 +1102,48 @@ public void testFilter() {
assertEquals(new MatchAllQueryBuilder(), updatedNeuralSparseQueryBuilder.filter().get(0));
}

public void testExtractInnerHitsBuilders() {
NestedQueryBuilder nestedQueryBuilder1 = new NestedQueryBuilder(
"path1",
new MatchQueryBuilder("testFieldName1", "testValue1"),
ScoreMode.Max
);
nestedQueryBuilder1.innerHit(new InnerHitBuilder());
NestedQueryBuilder nestedQueryBuilder2 = new NestedQueryBuilder(
"path2",
new MatchQueryBuilder("testFieldName2", "testValue2"),
ScoreMode.Max
);
HybridQueryBuilder hybridQueryBuilder = new HybridQueryBuilder().add(nestedQueryBuilder1).add(nestedQueryBuilder2);
Map<String, InnerHitContextBuilder> innerHitsMap = new HashMap<>();
hybridQueryBuilder.extractInnerHitBuilders(innerHitsMap);
assertEquals("path1", innerHitsMap.keySet().iterator().next());
assertEquals(1, innerHitsMap.size());
}

public void testExtractInnerHitsBuilders_whenMultipleInnerHitsOnSamePath_thenFail() {
InnerHitBuilder innerHitBuilder = new InnerHitBuilder();
NestedQueryBuilder nestedQueryBuilder1 = new NestedQueryBuilder(
"path1",
new MatchQueryBuilder("testFieldName1", "testValue1"),
ScoreMode.Max
);
nestedQueryBuilder1.innerHit(innerHitBuilder);
NestedQueryBuilder nestedQueryBuilder2 = new NestedQueryBuilder(
"path1",
new MatchQueryBuilder("testFieldName1", "testValue2"),
ScoreMode.Max
);
nestedQueryBuilder2.innerHit(innerHitBuilder);
HybridQueryBuilder hybridQueryBuilder = new HybridQueryBuilder().add(nestedQueryBuilder1).add(nestedQueryBuilder2);
Map<String, InnerHitContextBuilder> innerHitsMap = new HashMap<>();
IllegalArgumentException e = expectThrows(
IllegalArgumentException.class,
() -> hybridQueryBuilder.extractInnerHitBuilders(innerHitsMap)
);
assertEquals("[inner_hits] already contains an entry for key [path1]", e.getMessage());
}

private Map<String, Object> getInnerMap(Object innerObject, String queryName, String fieldName) {
if (!(innerObject instanceof Map)) {
fail("field name does not map to nested object");
Expand Down
4 changes: 2 additions & 2 deletions src/test/java/org/opensearch/neuralsearch/query/HybridQueryExplainIT.java
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Expand Up @@ -858,7 +858,7 @@ private void initializeIndexIfNotExist(String indexName) {
indexName,
buildIndexConfiguration(
Collections.singletonList(new KNNFieldConfig(TEST_KNN_VECTOR_FIELD_NAME_1, TEST_DIMENSION, TEST_SPACE_TYPE)),
List.of(TEST_NESTED_TYPE_FIELD_NAME_1),
Map.of(TEST_NESTED_TYPE_FIELD_NAME_1, Map.of()),
1
),
""
Expand All @@ -871,7 +871,7 @@ private void initializeIndexIfNotExist(String indexName) {
indexName,
buildIndexConfiguration(
Collections.singletonList(new KNNFieldConfig(TEST_KNN_VECTOR_FIELD_NAME_1, TEST_DIMENSION, TEST_SPACE_TYPE)),
List.of(),
Map.of(),
1
),
""
Expand Down
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