Java tutorial
/* * Copyright [2017] Wikimedia Foundation * * Licensed 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 com.o19s.es.ltr.feature.store; import com.o19s.es.ltr.feature.Feature; import com.o19s.es.ltr.feature.FeatureSet; import org.apache.lucene.search.Query; import org.apache.lucene.util.Accountable; import org.apache.lucene.util.RamUsageEstimator; import org.elasticsearch.index.query.QueryShardContext; import java.util.ArrayList; import java.util.List; import java.util.Map; import static org.apache.lucene.util.RamUsageEstimator.NUM_BYTES_ARRAY_HEADER; import static org.apache.lucene.util.RamUsageEstimator.NUM_BYTES_OBJECT_HEADER; import static org.apache.lucene.util.RamUsageEstimator.NUM_BYTES_OBJECT_REF; public class OptimizedFeatureSet implements FeatureSet, Accountable { private final long BASE_RAM_USED = RamUsageEstimator.shallowSizeOfInstance(StoredFeatureSet.class); private final String name; private final List<Feature> features; private final Map<String, Integer> featureMap; public OptimizedFeatureSet(String name, List<Feature> features, Map<String, Integer> featureMap) { this.name = name; this.features = features; this.featureMap = featureMap; } @Override public String name() { return name; } @Override public List<Query> toQueries(QueryShardContext context, Map<String, Object> params) { List<Query> queries = new ArrayList<>(features.size()); for (Feature feature : features) { queries.add(feature.doToQuery(context, this, params)); } return queries; } @Override public int featureOrdinal(String featureName) { Integer ordinal = featureMap.get(featureName); if (ordinal == null) { throw new IllegalArgumentException("Unknown feature [" + featureName + "]"); } return ordinal; } @Override public Feature feature(int ord) { return features.get(ord); } @Override public Feature feature(String featureName) { return features.get(featureOrdinal(featureName)); } @Override public boolean hasFeature(String featureName) { return featureMap.containsKey(featureName); } @Override public int size() { return features.size(); } @Override public void validate() { for (Feature feature : features) { feature.validate(this); } } @Override public boolean equals(Object o) { if (this == o) return true; if (o == null || getClass() != o.getClass()) return false; OptimizedFeatureSet that = (OptimizedFeatureSet) o; if (!name.equals(that.name)) return false; return features.equals(that.features); } @Override public int hashCode() { int result = name.hashCode(); result = 31 * result + features.hashCode(); return result; } /** * Return the memory usage of this object in bytes. Negative values are illegal. */ @Override public long ramBytesUsed() { return BASE_RAM_USED + featureMap.size() * NUM_BYTES_OBJECT_REF + NUM_BYTES_OBJECT_HEADER + NUM_BYTES_ARRAY_HEADER + features.stream() .mapToLong((f) -> f instanceof Accountable ? ((Accountable) f).ramBytesUsed() : 1).sum(); } }