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Use 0.95 as default ratio for lucene radial search traversal similarity #1619

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merged 4 commits into from
Apr 18, 2024
Merged

Use 0.95 as default ratio for lucene radial search traversal similarity #1619

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5916190
Use 0.95 as default ratio for lucene radial search traversal similarity
junqiu-lei Apr 17, 2024
8926872
Update name with default
junqiu-lei Apr 17, 2024
fa84072
Fix spotless
junqiu-lei Apr 17, 2024
2b83dc4
Resolve feedback
junqiu-lei Apr 17, 2024
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2 changes: 2 additions & 0 deletions src/main/java/org/opensearch/knn/common/KNNConstants.java
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Original file line number Diff line number Diff line change
Expand Up @@ -133,4 +133,6 @@ public class KNNConstants {
// Please refer this github issue for more details for choosing this value:
// https://github.com/opensearch-project/k-NN/issues/1049#issuecomment-1694741092
public static int MAX_DISTANCE_COMPUTATIONS = 2048000;

public static float LUCENE_RADIAL_SEARCH_TRAVERSAL_SIMILARITY_RATIO = 0.95f;
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}
17 changes: 15 additions & 2 deletions src/main/java/org/opensearch/knn/index/query/RNNQueryFactory.java
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Expand Up @@ -5,6 +5,7 @@

package org.opensearch.knn.index.query;

import static org.opensearch.knn.common.KNNConstants.LUCENE_RADIAL_SEARCH_TRAVERSAL_SIMILARITY_RATIO;
import static org.opensearch.knn.common.KNNConstants.VECTOR_DATA_TYPE_FIELD;
import static org.opensearch.knn.index.VectorDataType.SUPPORTED_VECTOR_DATA_TYPES;

Expand Down Expand Up @@ -118,7 +119,13 @@ private static Query getFloatVectorSimilarityQuery(
final float resultSimilarity,
final Query filterQuery
) {
return new FloatVectorSimilarityQuery(fieldName, floatVector, resultSimilarity, filterQuery);
return new FloatVectorSimilarityQuery(
fieldName,
floatVector,
LUCENE_RADIAL_SEARCH_TRAVERSAL_SIMILARITY_RATIO * resultSimilarity,
resultSimilarity,
filterQuery
);
}

/**
Expand All @@ -131,6 +138,12 @@ private static Query getByteVectorSimilarityQuery(
final float resultSimilarity,
final Query filterQuery
) {
return new ByteVectorSimilarityQuery(fieldName, byteVector, resultSimilarity, filterQuery);
return new ByteVectorSimilarityQuery(
fieldName,
byteVector,
LUCENE_RADIAL_SEARCH_TRAVERSAL_SIMILARITY_RATIO * resultSimilarity,
resultSimilarity,
filterQuery
);
}
}
6 changes: 5 additions & 1 deletion src/test/java/org/opensearch/knn/index/query/KNNQueryBuilderTests.java
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Expand Up @@ -52,6 +52,7 @@
import static org.mockito.Mockito.anyString;
import static org.mockito.Mockito.mock;
import static org.mockito.Mockito.when;
import static org.opensearch.knn.common.KNNConstants.LUCENE_RADIAL_SEARCH_TRAVERSAL_SIMILARITY_RATIO;
import static org.opensearch.knn.common.KNNConstants.METHOD_HNSW;
import static org.opensearch.knn.index.KNNClusterTestUtils.mockClusterService;
import static org.opensearch.knn.index.util.KNNEngine.ENGINES_SUPPORTING_RADIAL_SEARCH;
Expand Down Expand Up @@ -394,7 +395,10 @@ public void testDoToQuery_whenNormal_whenDoRadiusSearch_whenDistanceThreshold_th
KNNMethodContext knnMethodContext = new KNNMethodContext(KNNEngine.LUCENE, SpaceType.L2, methodComponentContext);
when(mockKNNVectorField.getKnnMethodContext()).thenReturn(knnMethodContext);
FloatVectorSimilarityQuery query = (FloatVectorSimilarityQuery) knnQueryBuilder.doToQuery(mockQueryShardContext);
assertTrue(query.toString().contains("resultSimilarity=" + KNNEngine.LUCENE.distanceToRadialThreshold(MAX_DISTANCE, SpaceType.L2)));
float resultSimilarity = KNNEngine.LUCENE.distanceToRadialThreshold(MAX_DISTANCE, SpaceType.L2);

assertTrue(query.toString().contains("resultSimilarity=" + resultSimilarity));
assertTrue(query.toString().contains("traversalSimilarity=" + LUCENE_RADIAL_SEARCH_TRAVERSAL_SIMILARITY_RATIO * resultSimilarity));
}

public void testDoToQuery_whenNormal_whenDoRadiusSearch_whenScoreThreshold_thenSucceed() {
Expand Down
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