KNN80DocValues should only be considered for BinaryDocValues fields (o…

…pensearch-project#2147) Consider adding files from fields that has BinaryDocValues and doesn't have filter values in producer. Signed-off-by: Vijayan Balasubramanian <[email protected]>
shatejas · Sep 26, 2024 · 329fc57 · 329fc57
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diff --git a/CHANGELOG.md b/CHANGELOG.md
@@ -24,6 +24,7 @@ The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
 * Add short circuit if no live docs are in segments [#2059](https://github.com/opensearch-project/k-NN/pull/2059)
 * Update Default Rescore Context based on Dimension [#2149](https://github.com/opensearch-project/k-NN/pull/2149)
 ### Bug Fixes
+* KNN80DocValues should only be considered for BinaryDocValues fields [#2147](https://github.com/opensearch-project/k-NN/pull/2147)
 ### Infrastructure
 ### Documentation
 ### Maintenance

diff --git a/src/main/java/org/opensearch/knn/index/codec/KNN80Codec/KNN80DocValuesProducer.java b/src/main/java/org/opensearch/knn/index/codec/KNN80Codec/KNN80DocValuesProducer.java
@@ -15,6 +15,7 @@
 import lombok.extern.log4j.Log4j2;
 import org.apache.lucene.codecs.DocValuesProducer;
 import org.apache.lucene.index.BinaryDocValues;
+import org.apache.lucene.index.DocValuesType;
 import org.apache.lucene.index.FieldInfo;
 import org.apache.lucene.index.NumericDocValues;
 import org.apache.lucene.index.SegmentReadState;
@@ -69,6 +70,13 @@ public KNN80DocValuesProducer(DocValuesProducer delegate, SegmentReadState state
             if (!field.attributes().containsKey(KNN_FIELD)) {
                 continue;
             }
+            // Only segments that contains BinaryDocValues and doesn't have vector values should be considered.
+            // By default, we don't create BinaryDocValues for knn field anymore. However, users can set doc_values = true
+            // to create binary doc values explicitly like any other field. Hence, we only want to include fields
+            // where approximate search is possible only by BinaryDocValues.
+            if (field.getDocValuesType() != DocValuesType.BINARY || field.hasVectorValues() == true) {
+                continue;
+            }
             // Only Native Engine put into indexPathMap
             KNNEngine knnEngine = getNativeKNNEngine(field);
             if (knnEngine == null) {
@@ -77,6 +85,7 @@ public KNN80DocValuesProducer(DocValuesProducer delegate, SegmentReadState state
             List<String> engineFiles = KNNCodecUtil.getEngineFiles(knnEngine.getExtension(), field.name, state.segmentInfo);
             Path indexPath = PathUtils.get(directoryPath, engineFiles.get(0));
             indexPathMap.putIfAbsent(field.getName(), indexPath.toString());
+
         }
     }
 

diff --git a/src/test/java/org/opensearch/knn/index/OpenSearchIT.java b/src/test/java/org/opensearch/knn/index/OpenSearchIT.java
@@ -16,6 +16,7 @@
 import java.util.Locale;
 import lombok.SneakyThrows;
 import org.junit.BeforeClass;
+import org.junit.Ignore;
 import org.opensearch.knn.KNNRestTestCase;
 import org.opensearch.knn.KNNResult;
 import org.apache.hc.core5.http.io.entity.EntityUtils;
@@ -483,6 +484,9 @@ public void testIndexingVectorValidation_updateVectorWithNull() throws Exception
         assertArrayEquals(vectorForDocumentOne, vectorRestoreInitialValue);
     }
 
+    // This doesn't work since indices that are created post 2.17 don't evict by default when indices are closed or deleted.
+    // Enable this PR once https://github.com/opensearch-project/k-NN/issues/2148 is resolved.
+    @Ignore
     public void testCacheClear_whenCloseIndex() throws Exception {
         String indexName = "test-index-1";
         KNNEngine knnEngine1 = KNNEngine.NMSLIB;

diff --git a/src/test/java/org/opensearch/knn/index/codec/KNN80Codec/KNN80DocValuesProducerTests.java b/src/test/java/org/opensearch/knn/index/codec/KNN80Codec/KNN80DocValuesProducerTests.java
@@ -9,6 +9,7 @@
 import org.apache.lucene.codecs.Codec;
 import org.apache.lucene.codecs.DocValuesFormat;
 import org.apache.lucene.codecs.DocValuesProducer;
+import org.apache.lucene.index.DocValuesType;
 import org.apache.lucene.index.FieldInfo;
 import org.apache.lucene.index.FieldInfos;
 import org.apache.lucene.index.SegmentInfo;
@@ -127,4 +128,57 @@ public void testProduceKNNBinaryField_fromCodec_nmslibCurrent() throws IOExcepti
         assertTrue(path.contains(segmentFiles.get(0)));
     }
 
+    public void testProduceKNNBinaryField_whenFieldHasNonBinaryDocValues_thenSkipThoseField() throws IOException {
+        // Set information about the segment and the fields
+        DocValuesFormat mockDocValuesFormat = mock(DocValuesFormat.class);
+        Codec mockDelegateCodec = mock(Codec.class);
+        DocValuesProducer mockDocValuesProducer = mock(DocValuesProducer.class);
+        when(mockDelegateCodec.docValuesFormat()).thenReturn(mockDocValuesFormat);
+        when(mockDocValuesFormat.fieldsProducer(any())).thenReturn(mockDocValuesProducer);
+        when(mockDocValuesFormat.getName()).thenReturn("mockDocValuesFormat");
+        Codec codec = new KNN87Codec(mockDelegateCodec);
+
+        String segmentName = "_test";
+        int docsInSegment = 100;
+        String fieldName1 = String.format("test_field1%s", randomAlphaOfLength(4));
+        String fieldName2 = String.format("test_field2%s", randomAlphaOfLength(4));
+        List<String> segmentFiles = Arrays.asList(
+            String.format("%s_2011_%s%s", segmentName, fieldName1, KNNEngine.NMSLIB.getExtension()),
+            String.format("%s_165_%s%s", segmentName, fieldName2, KNNEngine.FAISS.getExtension())
+        );
+
+        KNNEngine knnEngine = KNNEngine.NMSLIB;
+        SpaceType spaceType = SpaceType.COSINESIMIL;
+        SegmentInfo segmentInfo = KNNCodecTestUtil.segmentInfoBuilder()
+            .directory(directory)
+            .segmentName(segmentName)
+            .docsInSegment(docsInSegment)
+            .codec(codec)
+            .build();
+
+        for (String name : segmentFiles) {
+            IndexOutput indexOutput = directory.createOutput(name, IOContext.DEFAULT);
+            indexOutput.close();
+        }
+        segmentInfo.setFiles(segmentFiles);
+
+        FieldInfo[] fieldInfoArray = new FieldInfo[] {
+            KNNCodecTestUtil.FieldInfoBuilder.builder(fieldName1)
+                .addAttribute(KNNVectorFieldMapper.KNN_FIELD, "true")
+                .addAttribute(KNNConstants.KNN_ENGINE, knnEngine.getName())
+                .addAttribute(KNNConstants.SPACE_TYPE, spaceType.getValue())
+                .docValuesType(DocValuesType.NONE)
+                .dvGen(-1)
+                .build() };
+
+        FieldInfos fieldInfos = new FieldInfos(fieldInfoArray);
+        SegmentReadState state = new SegmentReadState(directory, segmentInfo, fieldInfos, IOContext.DEFAULT);
+
+        DocValuesFormat docValuesFormat = codec.docValuesFormat();
+        assertTrue(docValuesFormat instanceof KNN80DocValuesFormat);
+        DocValuesProducer producer = docValuesFormat.fieldsProducer(state);
+        assertTrue(producer instanceof KNN80DocValuesProducer);
+        assertEquals(0, ((KNN80DocValuesProducer) producer).getOpenedIndexPath().size());
+    }
+
 }