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Refactor codec related classes, create KNNCodecVersion abstraction
Signed-off-by: Martin Gaievski <[email protected]>
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src/main/java/org/opensearch/knn/index/codec/BasePerFieldKnnVectorsFormat.java
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,83 @@ | ||
| /* | ||
| * Copyright OpenSearch Contributors | ||
| * SPDX-License-Identifier: Apache-2.0 | ||
| */ | ||
|
|
||
| package org.opensearch.knn.index.codec; | ||
|
|
||
| import lombok.AllArgsConstructor; | ||
| import lombok.extern.log4j.Log4j2; | ||
| import org.apache.lucene.codecs.KnnVectorsFormat; | ||
| import org.apache.lucene.codecs.perfield.PerFieldKnnVectorsFormat; | ||
| import org.opensearch.index.mapper.MapperService; | ||
| import org.opensearch.knn.common.KNNConstants; | ||
| import org.opensearch.knn.index.mapper.KNNVectorFieldMapper; | ||
|
|
||
| import java.util.Map; | ||
| import java.util.Optional; | ||
| import java.util.function.BiFunction; | ||
| import java.util.function.Supplier; | ||
|
|
||
| /** | ||
| * Base class for PerFieldKnnVectorsFormat, builds KnnVectorsFormat based on specific Lucene version | ||
| */ | ||
| @AllArgsConstructor | ||
| @Log4j2 | ||
| public abstract class BasePerFieldKnnVectorsFormat extends PerFieldKnnVectorsFormat { | ||
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|
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| private final Optional<MapperService> mapperService; | ||
| private final int defaultMaxConnections; | ||
| private final int defaultBeamWidth; | ||
| private final Supplier<KnnVectorsFormat> defaultFormatSupplier; | ||
| private final BiFunction<Integer, Integer, KnnVectorsFormat> formatSupplier; | ||
|
|
||
| @Override | ||
| public KnnVectorsFormat getKnnVectorsFormatForField(final String field) { | ||
| if (isKnnVectorFieldType(field) == false) { | ||
| log.debug( | ||
| String.format( | ||
| "Initialize KNN vector format for field [%s] with default params [max_connections] = \"%d\" and [beam_width] = \"%d\"", | ||
| field, | ||
| defaultMaxConnections, | ||
| defaultBeamWidth | ||
| ) | ||
| ); | ||
| return defaultFormatSupplier.get(); | ||
| } | ||
| var type = (KNNVectorFieldMapper.KNNVectorFieldType) mapperService.orElseThrow( | ||
| () -> new IllegalStateException( | ||
| String.format("Cannot read field type for field [%s] because mapper service is not available", field) | ||
| ) | ||
| ).fieldType(field); | ||
| var params = type.getKnnMethodContext().getMethodComponent().getParameters(); | ||
| int maxConnections = getMaxConnections(params); | ||
| int beamWidth = getBeamWidth(params); | ||
| log.debug( | ||
| String.format( | ||
| "Initialize KNN vector format for field [%s] with params [max_connections] = \"%d\" and [beam_width] = \"%d\"", | ||
| field, | ||
| maxConnections, | ||
| beamWidth | ||
| ) | ||
| ); | ||
| return formatSupplier.apply(maxConnections, beamWidth); | ||
| } | ||
|
|
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| private boolean isKnnVectorFieldType(final String field) { | ||
| return mapperService.isPresent() && mapperService.get().fieldType(field) instanceof KNNVectorFieldMapper.KNNVectorFieldType; | ||
| } | ||
|
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| private int getMaxConnections(final Map<String, Object> params) { | ||
| if (params != null && params.containsKey(KNNConstants.METHOD_PARAMETER_M)) { | ||
| return (int) params.get(KNNConstants.METHOD_PARAMETER_M); | ||
| } | ||
| return defaultMaxConnections; | ||
| } | ||
|
|
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| private int getBeamWidth(final Map<String, Object> params) { | ||
| if (params != null && params.containsKey(KNNConstants.METHOD_PARAMETER_EF_CONSTRUCTION)) { | ||
| return (int) params.get(KNNConstants.METHOD_PARAMETER_EF_CONSTRUCTION); | ||
| } | ||
| return defaultBeamWidth; | ||
| } | ||
| } |
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