/* * Licensed to ElasticSearch and Shay Banon under one * or more contributor license agreements. See the NOTICE file * distributed with this work for additional information * regarding copyright ownership. ElasticSearch 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 org.elasticsearch.search.facet.histogram.unbounded; import org.apache.lucene.index.IndexReader; import org.apache.lucene.search.Scorer; import org.elasticsearch.common.CacheRecycler; import org.elasticsearch.common.trove.ExtTLongObjectHashMap; import org.elasticsearch.script.SearchScript; import org.elasticsearch.search.facet.AbstractFacetCollector; import org.elasticsearch.search.facet.Facet; import org.elasticsearch.search.facet.histogram.HistogramFacet; import org.elasticsearch.search.internal.SearchContext; import java.io.IOException; import java.util.Map; /** * */ public class ScriptHistogramFacetCollector extends AbstractFacetCollector { private final SearchScript keyScript; private final SearchScript valueScript; private final long interval; private final HistogramFacet.ComparatorType comparatorType; final ExtTLongObjectHashMap<InternalFullHistogramFacet.FullEntry> entries = CacheRecycler.popLongObjectMap(); public ScriptHistogramFacetCollector(String facetName, String scriptLang, String keyScript, String valueScript, Map<String, Object> params, long interval, HistogramFacet.ComparatorType comparatorType, SearchContext context) { super(facetName); this.keyScript = context.scriptService().search(context.lookup(), scriptLang, keyScript, params); this.valueScript = context.scriptService().search(context.lookup(), scriptLang, valueScript, params); this.interval = interval > 0 ? interval : 0; this.comparatorType = comparatorType; } @Override protected void doCollect(int doc) throws IOException { keyScript.setNextDocId(doc); valueScript.setNextDocId(doc); long bucket; if (interval == 0) { bucket = keyScript.runAsLong(); } else { bucket = bucket(keyScript.runAsDouble(), interval); } double value = valueScript.runAsDouble(); InternalFullHistogramFacet.FullEntry entry = entries.get(bucket); if (entry == null) { entry = new InternalFullHistogramFacet.FullEntry(bucket, 1, value, value, 1, value); entries.put(bucket, entry); } else { entry.count++; entry.totalCount++; entry.total += value; if (value < entry.min) { entry.min = value; } if (value > entry.max) { entry.max = value; } } } @Override public void setScorer(Scorer scorer) throws IOException { keyScript.setScorer(scorer); valueScript.setScorer(scorer); } @Override protected void doSetNextReader(IndexReader reader, int docBase) throws IOException { keyScript.setNextReader(reader); valueScript.setNextReader(reader); } @Override public Facet facet() { return new InternalFullHistogramFacet(facetName, comparatorType, entries, true); } public static long bucket(double value, long interval) { return (((long) (value / interval)) * interval); } }