First-class random access API for KnnVectorValues

lucene/analysis/common/src/java/org/apache/lucene/analysis/synonym/word2vec/Word2VecModel.java

@@ -18,18 +18,18 @@
 package org.apache.lucene.analysis.synonym.word2vec;
 
 import java.io.IOException;
+import org.apache.lucene.index.FloatVectorValues;
 import org.apache.lucene.util.BytesRef;
 import org.apache.lucene.util.BytesRefHash;
 import org.apache.lucene.util.TermAndVector;
-import org.apache.lucene.util.hnsw.RandomAccessVectorValues;
 
 /**
  * Word2VecModel is a class representing the parsed Word2Vec model containing the vectors for each
  * word in dictionary
  *
  * @lucene.experimental
  */
-public class Word2VecModel implements RandomAccessVectorValues.Floats {
+public class Word2VecModel extends FloatVectorValues {
 
   private final int dictionarySize;
   private final int vectorDimension;

lucene/backward-codecs/src/java/org/apache/lucene/backward_codecs/lucene90/Lucene90HnswGraphBuilder.java

@@ -22,10 +22,10 @@
 import java.util.Objects;
 import java.util.SplittableRandom;
 import java.util.concurrent.TimeUnit;
+import org.apache.lucene.index.FloatVectorValues;
 import org.apache.lucene.index.VectorSimilarityFunction;
 import org.apache.lucene.util.InfoStream;
 import org.apache.lucene.util.hnsw.NeighborQueue;
-import org.apache.lucene.util.hnsw.RandomAccessVectorValues;
 
 /**
  * Builder for HNSW graph. See {@link Lucene90OnHeapHnswGraph} for a gloss on the algorithm and the
@@ -49,7 +49,7 @@ public final class Lucene90HnswGraphBuilder {
   private final Lucene90NeighborArray scratch;
 
   private final VectorSimilarityFunction similarityFunction;
-  private final RandomAccessVectorValues.Floats vectorValues;
+  private final FloatVectorValues vectorValues;
   private final SplittableRandom random;
   private final Lucene90BoundsChecker bound;
   final Lucene90OnHeapHnswGraph hnsw;
@@ -58,7 +58,7 @@ public final class Lucene90HnswGraphBuilder {
 
   // we need two sources of vectors in order to perform diversity check comparisons without
   // colliding
-  private final RandomAccessVectorValues.Floats buildVectors;
+  private final FloatVectorValues buildVectors;
 
   /**
    * Reads all the vectors from vector values, builds a graph connecting them by their dense
@@ -73,7 +73,7 @@ public final class Lucene90HnswGraphBuilder {
    *     to ensure repeatable construction.
    */
   public Lucene90HnswGraphBuilder(
-      RandomAccessVectorValues.Floats vectors,
+      FloatVectorValues vectors,
       VectorSimilarityFunction similarityFunction,
       int maxConn,
       int beamWidth,
@@ -97,14 +97,14 @@ public Lucene90HnswGraphBuilder(
   }
 
   /**
-   * Reads all the vectors from two copies of a {@link RandomAccessVectorValues}. Providing two
-   * copies enables efficient retrieval without extra data copying, while avoiding collision of the
+   * Reads all the vectors from two copies of a {@link FloatVectorValues}. Providing two copies
+   * enables efficient retrieval without extra data copying, while avoiding collision of the
    * returned values.
    *
    * @param vectors the vectors for which to build a nearest neighbors graph. Must be an independet
    *     accessor for the vectors
    */
-  public Lucene90OnHeapHnswGraph build(RandomAccessVectorValues.Floats vectors) throws IOException {
+  public Lucene90OnHeapHnswGraph build(FloatVectorValues vectors) throws IOException {
     if (vectors == vectorValues) {
       throw new IllegalArgumentException(
           "Vectors to build must be independent of the source of vectors provided to HnswGraphBuilder()");
@@ -230,7 +230,7 @@ private boolean diversityCheck(
       float[] candidate,
       float score,
       Lucene90NeighborArray neighbors,
-      RandomAccessVectorValues.Floats vectorValues)
+      FloatVectorValues vectorValues)
       throws IOException {
     bound.set(score);
     for (int i = 0; i < neighbors.size(); i++) {

lucene/backward-codecs/src/java/org/apache/lucene/backward_codecs/lucene90/Lucene90HnswVectorsReader.java

@@ -20,7 +20,6 @@
 import static org.apache.lucene.search.DocIdSetIterator.NO_MORE_DOCS;
 
 import java.io.IOException;
-import java.util.Arrays;
 import java.util.HashMap;
 import java.util.Map;
 import java.util.SplittableRandom;
@@ -34,7 +33,6 @@
 import org.apache.lucene.index.IndexFileNames;
 import org.apache.lucene.index.SegmentReadState;
 import org.apache.lucene.index.VectorSimilarityFunction;
-import org.apache.lucene.search.DocIdSetIterator;
 import org.apache.lucene.search.KnnCollector;
 import org.apache.lucene.search.VectorScorer;
 import org.apache.lucene.store.ChecksumIndexInput;
@@ -44,7 +42,6 @@
 import org.apache.lucene.util.IOUtils;
 import org.apache.lucene.util.hnsw.HnswGraph;
 import org.apache.lucene.util.hnsw.NeighborQueue;
-import org.apache.lucene.util.hnsw.RandomAccessVectorValues;
 
 /**
  * Reads vectors from the index segments along with index data structures supporting KNN search.
@@ -355,8 +352,7 @@ int size() {
   }
 
   /** Read the vector values from the index input. This supports both iterated and random access. */
-  static class OffHeapFloatVectorValues extends FloatVectorValues
-      implements RandomAccessVectorValues.Floats {
+  static class OffHeapFloatVectorValues extends FloatVectorValues {
 
     final int dimension;
     final int[] ordToDoc;
@@ -367,9 +363,6 @@ static class OffHeapFloatVectorValues extends FloatVectorValues
     final float[] value;
     final VectorSimilarityFunction similarityFunction;
 
-    int ord = -1;
-    int doc = -1;
-
     OffHeapFloatVectorValues(
         int dimension,
         int[] ordToDoc,
@@ -394,42 +387,6 @@ public int size() {
       return ordToDoc.length;
     }
 
-    @Override
-    public float[] vectorValue() throws IOException {
-      return vectorValue(ord);
-    }
-
-    @Override
-    public int docID() {
-      return doc;
-    }
-
-    @Override
-    public int nextDoc() {
-      if (++ord >= size()) {
-        doc = NO_MORE_DOCS;
-      } else {
-        doc = ordToDoc[ord];
-      }
-      return doc;
-    }
-
-    @Override
-    public int advance(int target) {
-      assert docID() < target;
-      ord = Arrays.binarySearch(ordToDoc, ord + 1, ordToDoc.length, target);
-      if (ord < 0) {
-        ord = -(ord + 1);
-      }
-      assert ord <= ordToDoc.length;
-      if (ord == ordToDoc.length) {
-        doc = NO_MORE_DOCS;
-      } else {
-        doc = ordToDoc[ord];
-      }
-      return doc;
-    }
-
     @Override
     public OffHeapFloatVectorValues copy() {
       return new OffHeapFloatVectorValues(dimension, ordToDoc, similarityFunction, dataIn.clone());
@@ -446,6 +403,16 @@ public float[] vectorValue(int targetOrd) throws IOException {
       return value;
     }
 
+    @Override
+    public int ordToDoc(int ord) {
+      return ordToDoc[ord];
+    }
+
+    @Override
+    protected DocIndexIterator createIterator() {
+      return fromOrdToDoc();
+    }
+
     @Override
     public VectorScorer scorer(float[] target) {
       if (size() == 0) {
@@ -455,12 +422,12 @@ public VectorScorer scorer(float[] target) {
       return new VectorScorer() {
         @Override
         public float score() throws IOException {
-          return values.similarityFunction.compare(values.vectorValue(), target);
+          return values.similarityFunction.compare(values.vectorValue(iterator().index()), target);
         }
 
         @Override
-        public DocIdSetIterator iterator() {
-          return values;
+        public DocIndexIterator iterator() {
+          return values.iterator();
         }
       };
     }

lucene/backward-codecs/src/java/org/apache/lucene/backward_codecs/lucene90/Lucene90OnHeapHnswGraph.java

@@ -23,12 +23,12 @@
 import java.util.ArrayList;
 import java.util.List;
 import java.util.SplittableRandom;
+import org.apache.lucene.index.FloatVectorValues;
 import org.apache.lucene.index.VectorSimilarityFunction;
 import org.apache.lucene.util.Bits;
 import org.apache.lucene.util.SparseFixedBitSet;
 import org.apache.lucene.util.hnsw.HnswGraph;
 import org.apache.lucene.util.hnsw.NeighborQueue;
-import org.apache.lucene.util.hnsw.RandomAccessVectorValues;
 
 /**
  * An {@link HnswGraph} where all nodes and connections are held in memory. This class is used to
@@ -74,7 +74,7 @@ public static NeighborQueue search(
       float[] query,
       int topK,
       int numSeed,
-      RandomAccessVectorValues.Floats vectors,
+      FloatVectorValues vectors,
       VectorSimilarityFunction similarityFunction,
       HnswGraph graphValues,
       Bits acceptOrds,

lucene/backward-codecs/src/java/org/apache/lucene/backward_codecs/lucene91/Lucene91HnswVectorsReader.java

@@ -46,7 +46,6 @@
 import org.apache.lucene.util.hnsw.HnswGraph;
 import org.apache.lucene.util.hnsw.HnswGraphSearcher;
 import org.apache.lucene.util.hnsw.OrdinalTranslatedKnnCollector;
-import org.apache.lucene.util.hnsw.RandomAccessVectorValues;
 import org.apache.lucene.util.hnsw.RandomVectorScorer;
 
 /**
@@ -398,8 +397,7 @@ int ordToDoc(int ord) {
   }
 
   /** Read the vector values from the index input. This supports both iterated and random access. */
-  static class OffHeapFloatVectorValues extends FloatVectorValues
-      implements RandomAccessVectorValues.Floats {
+  static class OffHeapFloatVectorValues extends FloatVectorValues {
 
     private final int dimension;
     private final int size;
@@ -410,9 +408,6 @@ static class OffHeapFloatVectorValues extends FloatVectorValues
     private final float[] value;
     private final VectorSimilarityFunction similarityFunction;
 
-    private int ord = -1;
-    private int doc = -1;
-
     OffHeapFloatVectorValues(
         int dimension,
         int size,
@@ -439,49 +434,6 @@ public int size() {
       return size;
     }
 
-    @Override
-    public float[] vectorValue() throws IOException {
-      dataIn.seek((long) ord * byteSize);
-      dataIn.readFloats(value, 0, value.length);
-      return value;
-    }
-
-    @Override
-    public int docID() {
-      return doc;
-    }
-
-    @Override
-    public int nextDoc() {
-      if (++ord >= size) {
-        doc = NO_MORE_DOCS;
-      } else {
-        doc = ordToDocOperator.applyAsInt(ord);
-      }
-      return doc;
-    }
-
-    @Override
-    public int advance(int target) {
-      assert docID() < target;
-
-      if (ordToDoc == null) {
-        ord = target;
-      } else {
-        ord = Arrays.binarySearch(ordToDoc, ord + 1, ordToDoc.length, target);
-        if (ord < 0) {
-          ord = -(ord + 1);
-        }
-      }
-
-      if (ord < size) {
-        doc = ordToDocOperator.applyAsInt(ord);
-      } else {
-        doc = NO_MORE_DOCS;
-      }
-      return doc;
-    }
-
     @Override
     public OffHeapFloatVectorValues copy() {
       return new OffHeapFloatVectorValues(
@@ -495,6 +447,16 @@ public float[] vectorValue(int targetOrd) throws IOException {
       return value;
     }
 
+    @Override
+    public int ordToDoc(int ord) {
+      return ordToDocOperator.applyAsInt(ord);
+    }
+
+    @Override
+    protected DocIndexIterator createIterator() {
+      return fromOrdToDoc();
+    }
+
     @Override
     public VectorScorer scorer(float[] target) {
       if (size == 0) {
@@ -504,12 +466,13 @@ public VectorScorer scorer(float[] target) {
       return new VectorScorer() {
         @Override
         public float score() throws IOException {
-          return values.similarityFunction.compare(values.vectorValue(), target);
+          return values.similarityFunction.compare(
+              values.vectorValue(values.iterator().index()), target);
         }
 
         @Override
         public DocIdSetIterator iterator() {
-          return values;
+          return values.iterator();
         }
       };
     }