Add Support for Lucene Byte Sized Vector (#971) (#974)

opensearch-project · Jul 12, 2023 · 581fadd · 581fadd
1 parent 86b812c
commit 581fadd
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Showing 27 changed files with 1,598 additions and 189 deletions.
diff --git a/release-notes/opensearch-knn.release-notes-2.9.0.0.md b/release-notes/opensearch-knn.release-notes-2.9.0.0.md
@@ -3,4 +3,5 @@
 Compatible with OpenSearch 2.9.0
 
 ### Features
-Added support for Efficient Pre-filtering for Faiss Engine ([#936](https://github.com/opensearch-project/k-NN/pull/936))
+* Added support for Efficient Pre-filtering for Faiss Engine ([#936](https://github.com/opensearch-project/k-NN/pull/936))
+* Add Support for Lucene Byte Sized Vector ([#971](https://github.com/opensearch-project/k-NN/pull/971))
diff --git a/src/main/java/org/opensearch/knn/common/KNNConstants.java b/src/main/java/org/opensearch/knn/common/KNNConstants.java
@@ -5,6 +5,8 @@
 
 package org.opensearch.knn.common;
 
+import org.opensearch.knn.index.VectorDataType;
+
 public class KNNConstants {
     // shared across library constants
     public static final String DIMENSION = "dimension";
@@ -50,6 +52,9 @@ public class KNNConstants {
     public static final String MAX_VECTOR_COUNT_PARAMETER = "max_training_vector_count";
     public static final String SEARCH_SIZE_PARAMETER = "search_size";
 
+    public static final String VECTOR_DATA_TYPE_FIELD = "data_type";
+    public static final VectorDataType DEFAULT_VECTOR_DATA_TYPE_FIELD = VectorDataType.FLOAT;
+
     // Lucene specific constants
     public static final String LUCENE_NAME = "lucene";
 

diff --git a/src/main/java/org/opensearch/knn/index/KNNVectorDVLeafFieldData.java b/src/main/java/org/opensearch/knn/index/KNNVectorDVLeafFieldData.java
@@ -18,10 +18,12 @@ public class KNNVectorDVLeafFieldData implements LeafFieldData {
 
     private final LeafReader reader;
     private final String fieldName;
+    private final VectorDataType vectorDataType;
 
-    public KNNVectorDVLeafFieldData(LeafReader reader, String fieldName) {
+    public KNNVectorDVLeafFieldData(LeafReader reader, String fieldName, VectorDataType vectorDataType) {
         this.reader = reader;
         this.fieldName = fieldName;
+        this.vectorDataType = vectorDataType;
     }
 
     @Override
@@ -38,7 +40,7 @@ public long ramBytesUsed() {
     public ScriptDocValues<float[]> getScriptValues() {
         try {
             BinaryDocValues values = DocValues.getBinary(reader, fieldName);
-            return new KNNVectorScriptDocValues(values, fieldName);
+            return new KNNVectorScriptDocValues(values, fieldName, vectorDataType);
         } catch (IOException e) {
             throw new IllegalStateException("Cannot load doc values for knn vector field: " + fieldName, e);
         }

diff --git a/src/main/java/org/opensearch/knn/index/KNNVectorIndexFieldData.java b/src/main/java/org/opensearch/knn/index/KNNVectorIndexFieldData.java
@@ -21,10 +21,12 @@ public class KNNVectorIndexFieldData implements IndexFieldData<KNNVectorDVLeafFi
 
     private final String fieldName;
     private final ValuesSourceType valuesSourceType;
+    private final VectorDataType vectorDataType;
 
-    public KNNVectorIndexFieldData(String fieldName, ValuesSourceType valuesSourceType) {
+    public KNNVectorIndexFieldData(String fieldName, ValuesSourceType valuesSourceType, VectorDataType vectorDataType) {
         this.fieldName = fieldName;
         this.valuesSourceType = valuesSourceType;
+        this.vectorDataType = vectorDataType;
     }
 
     @Override
@@ -39,7 +41,7 @@ public ValuesSourceType getValuesSourceType() {
 
     @Override
     public KNNVectorDVLeafFieldData load(LeafReaderContext context) {
-        return new KNNVectorDVLeafFieldData(context.reader(), fieldName);
+        return new KNNVectorDVLeafFieldData(context.reader(), fieldName, vectorDataType);
     }
 
     @Override
@@ -70,15 +72,17 @@ public static class Builder implements IndexFieldData.Builder {
 
         private final String name;
         private final ValuesSourceType valuesSourceType;
+        private final VectorDataType vectorDataType;
 
-        public Builder(String name, ValuesSourceType valuesSourceType) {
+        public Builder(String name, ValuesSourceType valuesSourceType, VectorDataType vectorDataType) {
             this.name = name;
             this.valuesSourceType = valuesSourceType;
+            this.vectorDataType = vectorDataType;
         }
 
         @Override
         public IndexFieldData<?> build(IndexFieldDataCache cache, CircuitBreakerService breakerService) {
-            return new KNNVectorIndexFieldData(name, valuesSourceType);
+            return new KNNVectorIndexFieldData(name, valuesSourceType, vectorDataType);
         }
     }
 }
diff --git a/src/main/java/org/opensearch/knn/index/KNNVectorScriptDocValues.java b/src/main/java/org/opensearch/knn/index/KNNVectorScriptDocValues.java
@@ -5,26 +5,22 @@
 
 package org.opensearch.knn.index;
 
+import lombok.Getter;
+import lombok.RequiredArgsConstructor;
 import org.apache.lucene.index.BinaryDocValues;
-import org.apache.lucene.util.BytesRef;
 import org.opensearch.ExceptionsHelper;
 import org.opensearch.index.fielddata.ScriptDocValues;
-import org.opensearch.knn.index.codec.util.KNNVectorSerializer;
-import org.opensearch.knn.index.codec.util.KNNVectorSerializerFactory;
 
-import java.io.ByteArrayInputStream;
 import java.io.IOException;
 
+@RequiredArgsConstructor
 public final class KNNVectorScriptDocValues extends ScriptDocValues<float[]> {
 
     private final BinaryDocValues binaryDocValues;
     private final String fieldName;
-    private boolean docExists;
-
-    public KNNVectorScriptDocValues(BinaryDocValues binaryDocValues, String fieldName) {
-        this.binaryDocValues = binaryDocValues;
-        this.fieldName = fieldName;
-    }
+    @Getter
+    private final VectorDataType vectorDataType;
+    private boolean docExists = false;
 
     @Override
     public void setNextDocId(int docId) throws IOException {
@@ -47,11 +43,7 @@ public float[] getValue() {
             throw new IllegalStateException(errorMessage);
         }
         try {
-            BytesRef value = binaryDocValues.binaryValue();
-            ByteArrayInputStream byteStream = new ByteArrayInputStream(value.bytes, value.offset, value.length);
-            final KNNVectorSerializer vectorSerializer = KNNVectorSerializerFactory.getSerializerByStreamContent(byteStream);
-            final float[] vector = vectorSerializer.byteToFloatArray(byteStream);
-            return vector;
+            return vectorDataType.getVectorFromDocValues(binaryDocValues.binaryValue());
         } catch (IOException e) {
             throw ExceptionsHelper.convertToOpenSearchException(e);
         }

diff --git a/src/main/java/org/opensearch/knn/index/VectorDataType.java b/src/main/java/org/opensearch/knn/index/VectorDataType.java
@@ -0,0 +1,120 @@
+/*
+ * Copyright OpenSearch Contributors
+ * SPDX-License-Identifier: Apache-2.0
+ */
+
+package org.opensearch.knn.index;
+
+import lombok.AllArgsConstructor;
+import lombok.Getter;
+import org.apache.lucene.document.FieldType;
+import org.apache.lucene.document.KnnByteVectorField;
+import org.apache.lucene.document.KnnVectorField;
+import org.apache.lucene.index.VectorSimilarityFunction;
+import org.apache.lucene.util.BytesRef;
+import org.opensearch.knn.index.codec.util.KNNVectorSerializer;
+import org.opensearch.knn.index.codec.util.KNNVectorSerializerFactory;
+
+import java.io.ByteArrayInputStream;
+import java.util.Arrays;
+import java.util.Locale;
+import java.util.Objects;
+import java.util.stream.Collectors;
+
+import static org.opensearch.knn.common.KNNConstants.VECTOR_DATA_TYPE_FIELD;
+
+/**
+ * Enum contains data_type of vectors and right now only supported for lucene engine in k-NN plugin.
+ * We have two vector data_types, one is float (default) and the other one is byte.
+ */
+@AllArgsConstructor
+public enum VectorDataType {
+    BYTE("byte") {
+
+        @Override
+        public FieldType createKnnVectorFieldType(int dimension, VectorSimilarityFunction vectorSimilarityFunction) {
+            return KnnByteVectorField.createFieldType(dimension, vectorSimilarityFunction);
+        }
+
+        @Override
+        public float[] getVectorFromDocValues(BytesRef binaryValue) {
+            float[] vector = new float[binaryValue.length];
+            int i = 0;
+            int j = binaryValue.offset;
+
+            while (i < binaryValue.length) {
+                vector[i++] = binaryValue.bytes[j++];
+            }
+            return vector;
+        }
+    },
+    FLOAT("float") {
+
+        @Override
+        public FieldType createKnnVectorFieldType(int dimension, VectorSimilarityFunction vectorSimilarityFunction) {
+            return KnnVectorField.createFieldType(dimension, vectorSimilarityFunction);
+        }
+
+        @Override
+        public float[] getVectorFromDocValues(BytesRef binaryValue) {
+            ByteArrayInputStream byteStream = new ByteArrayInputStream(binaryValue.bytes, binaryValue.offset, binaryValue.length);
+            final KNNVectorSerializer vectorSerializer = KNNVectorSerializerFactory.getSerializerByStreamContent(byteStream);
+            return vectorSerializer.byteToFloatArray(byteStream);
+        }
+
+    };
+
+    public static final String SUPPORTED_VECTOR_DATA_TYPES = Arrays.stream(VectorDataType.values())
+        .map(VectorDataType::getValue)
+        .collect(Collectors.joining(","));
+    @Getter
+    private final String value;
+
+    /**
+     * Creates a KnnVectorFieldType based on the VectorDataType using the provided dimension and
+     * VectorSimilarityFunction.
+     *
+     * @param dimension Dimension of the vector
+     * @param vectorSimilarityFunction VectorSimilarityFunction for a given spaceType
+     * @return FieldType
+     */
+    public abstract FieldType createKnnVectorFieldType(int dimension, VectorSimilarityFunction vectorSimilarityFunction);
+
+    /**
+     * Deserializes float vector from doc values binary value.
+     *
+     * @param binaryValue Binary Value of DocValues
+     * @return float vector deserialized from binary value
+     */
+    public abstract float[] getVectorFromDocValues(BytesRef binaryValue);
+
+    /**
+     * Validates if given VectorDataType is in the list of supported data types.
+     * @param vectorDataType VectorDataType
+     * @return  the same VectorDataType if it is in the supported values
+     * throws Exception if an invalid value is provided.
+     */
+    public static VectorDataType get(String vectorDataType) {
+        Objects.requireNonNull(
+            vectorDataType,
+            String.format(
+                Locale.ROOT,
+                "[%s] should not be null. Supported types are [%s]",
+                VECTOR_DATA_TYPE_FIELD,
+                SUPPORTED_VECTOR_DATA_TYPES
+            )
+        );
+        try {
+            return VectorDataType.valueOf(vectorDataType.toUpperCase(Locale.ROOT));
+        } catch (Exception e) {
+            throw new IllegalArgumentException(
+                String.format(
+                    Locale.ROOT,
+                    "Invalid value provided for [%s] field. Supported values are [%s]",
+                    VECTOR_DATA_TYPE_FIELD,
+                    SUPPORTED_VECTOR_DATA_TYPES
+                )
+            );
+        }
+    }
+}
diff --git a/src/main/java/org/opensearch/knn/index/VectorField.java b/src/main/java/org/opensearch/knn/index/VectorField.java
@@ -23,4 +23,19 @@ public VectorField(String name, float[] value, IndexableFieldType type) {
             throw new RuntimeException(e);
         }
     }
+
+    /**
+     * @param name FieldType name
+     * @param value an array of byte vector values
+     * @param type FieldType to build DocValues
+     */
+    public VectorField(String name, byte[] value, IndexableFieldType type) {
+        super(name, new BytesRef(), type);
+        try {
+            this.setBytesValue(value);
+        } catch (Exception e) {
+            throw new RuntimeException(e);
+        }
+
+    }
 }