/*
* 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);
}
}