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Extracted KnnIndexer class out of KnnGraphTester code so that the log…
…ic can be reused
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| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 +1,139 @@ | ||
| /* | ||
| * Licensed to the Apache Software Foundation (ASF) under one or more | ||
| * contributor license agreements. See the NOTICE file distributed with | ||
| * this work for additional information regarding copyright ownership. | ||
| * The ASF licenses this file to You under the Apache License, Version 2.0 | ||
| * (the "License"); you may not use this file except in compliance with | ||
| * the License. You may obtain a copy of the License at | ||
| * | ||
| * http://www.apache.org/licenses/LICENSE-2.0 | ||
| * | ||
| * Unless required by applicable law or agreed to in writing, software | ||
| * distributed under the License is distributed on an "AS IS" BASIS, | ||
| * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| * See the License for the specific language governing permissions and | ||
| * limitations under the License. | ||
| */ | ||
|
|
||
| package knn; | ||
|
|
||
| import knn.KnnGraphTester; | ||
| import knn.VectorReader; | ||
| import org.apache.lucene.codecs.KnnVectorsFormat; | ||
| import org.apache.lucene.codecs.lucene99.Lucene99Codec; | ||
| import org.apache.lucene.codecs.lucene99.Lucene99HnswVectorsFormat; | ||
| import org.apache.lucene.document.*; | ||
| import org.apache.lucene.index.IndexWriter; | ||
| import org.apache.lucene.index.IndexWriterConfig; | ||
| import org.apache.lucene.index.VectorEncoding; | ||
| import org.apache.lucene.index.VectorSimilarityFunction; | ||
| import org.apache.lucene.store.FSDirectory; | ||
| import org.apache.lucene.util.PrintStreamInfoStream; | ||
|
|
||
| import java.io.IOException; | ||
| import java.nio.channels.FileChannel; | ||
| import java.nio.file.Path; | ||
| import java.util.concurrent.TimeUnit; | ||
|
|
||
| public class KnnIndexer { | ||
|
|
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| Path docsPath; | ||
| Path indexPath; | ||
| int maxConn; | ||
| int beamWidth; | ||
| VectorEncoding vectorEncoding; | ||
| int dim; | ||
| VectorSimilarityFunction similarityFunction; | ||
| int numDocs; | ||
| int docsStartIndex; | ||
| boolean quiet; | ||
|
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| public KnnIndexer(Path docsPath, Path indexPath, int maxConn, int beamWidth, VectorEncoding vectorEncoding, int dim, | ||
| VectorSimilarityFunction similarityFunction, int numDocs, boolean quiet) { | ||
| this(docsPath, indexPath, maxConn, beamWidth, vectorEncoding, dim, similarityFunction, numDocs, 0, quiet); | ||
| } | ||
|
|
||
| public KnnIndexer(Path docsPath, Path indexPath, int maxConn, int beamWidth, VectorEncoding vectorEncoding, int dim, | ||
| VectorSimilarityFunction similarityFunction, int numDocs, int docsStartIndex, boolean quiet) { | ||
| this.docsPath = docsPath; | ||
| this.indexPath = indexPath; | ||
| this.maxConn = maxConn; | ||
| this.beamWidth = beamWidth; | ||
| this.vectorEncoding = vectorEncoding; | ||
| this.dim = dim; | ||
| this.similarityFunction = similarityFunction; | ||
| this.numDocs = numDocs; | ||
| this.docsStartIndex = docsStartIndex; | ||
| this.quiet = quiet; | ||
| } | ||
|
|
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| public int createIndex() throws IOException { | ||
| IndexWriterConfig iwc = new IndexWriterConfig().setOpenMode(IndexWriterConfig.OpenMode.CREATE); | ||
| iwc.setCodec( | ||
| new Lucene99Codec() { | ||
| @Override | ||
| public KnnVectorsFormat getKnnVectorsFormatForField(String field) { | ||
| return new Lucene99HnswVectorsFormat(maxConn, beamWidth); | ||
| } | ||
| }); | ||
| // iwc.setMergePolicy(NoMergePolicy.INSTANCE); | ||
| iwc.setRAMBufferSizeMB(1994d); | ||
| iwc.setUseCompoundFile(false); | ||
| // iwc.setMaxBufferedDocs(10000); | ||
|
|
||
| FieldType fieldType = | ||
| switch (vectorEncoding) { | ||
| case BYTE -> KnnByteVectorField.createFieldType(dim, similarityFunction); | ||
| case FLOAT32 -> KnnFloatVectorField.createFieldType(dim, similarityFunction); | ||
| }; | ||
| if (quiet == false) { | ||
| iwc.setInfoStream(new PrintStreamInfoStream(System.out)); | ||
| System.out.println("creating index in " + indexPath); | ||
| } | ||
|
|
||
| if (!indexPath.toFile().exists()) { | ||
| indexPath.toFile().mkdirs(); | ||
| } | ||
|
|
||
| long start = System.nanoTime(); | ||
| try (FSDirectory dir = FSDirectory.open(indexPath); | ||
| IndexWriter iw = new IndexWriter(dir, iwc)) { | ||
| try (FileChannel in = FileChannel.open(docsPath)) { | ||
| if (docsStartIndex > 0) { | ||
| seekToStartDoc(in, dim, vectorEncoding, docsStartIndex); | ||
| } | ||
| VectorReader vectorReader = VectorReader.create(in, dim, vectorEncoding); | ||
| for (int i = 0; i < numDocs; i++) { | ||
| Document doc = new Document(); | ||
| switch (vectorEncoding) { | ||
| case BYTE -> doc.add( | ||
| new KnnByteVectorField( | ||
| KnnGraphTester.KNN_FIELD, ((VectorReaderByte) vectorReader).nextBytes(), fieldType)); | ||
| case FLOAT32 -> doc.add( | ||
| new KnnFloatVectorField(KnnGraphTester.KNN_FIELD, vectorReader.next(), fieldType)); | ||
| } | ||
| doc.add(new StoredField(KnnGraphTester.ID_FIELD, i)); | ||
| iw.addDocument(doc); | ||
|
|
||
| if (quiet == false && i % 10000 == 0) { | ||
| System.out.println("Done indexing " + (i + 1) + " documents."); | ||
| } | ||
| } | ||
| if (quiet == false) { | ||
| System.out.println("Done indexing " + numDocs + " documents; now flush"); | ||
| } | ||
| } | ||
| } | ||
| long elapsed = System.nanoTime() - start; | ||
| if (quiet == false) { | ||
| System.out.println( | ||
| "Indexed " + numDocs + " documents in " + TimeUnit.NANOSECONDS.toSeconds(elapsed) + "s"); | ||
| } | ||
| return (int) TimeUnit.NANOSECONDS.toMillis(elapsed); | ||
| } | ||
|
|
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| private void seekToStartDoc(FileChannel in, int dim, VectorEncoding vectorEncoding, int docsStartIndex) throws IOException { | ||
| int startByte = docsStartIndex * dim * vectorEncoding.byteSize; | ||
| in.position(startByte); | ||
| } | ||
| } |
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