org.graylog2.indexer.results.FieldHistogramResult Maven / Gradle / Ivy
/**
* This file is part of Graylog.
*
* Graylog is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* Graylog is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with Graylog. If not, see .
*/
package org.graylog2.indexer.results;
import com.google.common.collect.Maps;
import org.elasticsearch.common.bytes.BytesReference;
import org.elasticsearch.common.unit.TimeValue;
import org.elasticsearch.search.facet.datehistogram.DateHistogramFacet;
import org.graylog2.indexer.searches.Searches;
import java.util.Map;
/**
* @author Lennart Koopmann
*/
public class FieldHistogramResult extends HistogramResult {
private final DateHistogramFacet result;
private final Searches.DateHistogramInterval interval;
public FieldHistogramResult(DateHistogramFacet result, String originalQuery, BytesReference builtQuery, Searches.DateHistogramInterval interval, TimeValue took) {
super(originalQuery, builtQuery, took);
this.result = result;
this.interval = interval;
}
public Searches.DateHistogramInterval getInterval() {
return interval;
}
public Map> getResults() {
Map> results = Maps.newTreeMap();
Long minTimestamp = Long.MAX_VALUE;
Long maxTimestamp = Long.MIN_VALUE;
for (DateHistogramFacet.Entry e : result) {
Map resultMap = Maps.newHashMap();
resultMap.put("count", e.getCount());
resultMap.put("min", e.getMin());
resultMap.put("max", e.getMax());
resultMap.put("total", e.getTotal());
resultMap.put("total_count", e.getTotalCount());
resultMap.put("mean", e.getMean());
final long timestamp = e.getTime() / 1000;
if (timestamp < minTimestamp) minTimestamp = timestamp;
if (timestamp > maxTimestamp) maxTimestamp = timestamp;
results.put(timestamp, resultMap);
}
long curTimestamp = minTimestamp;
while (curTimestamp < maxTimestamp) {
Map entry = results.get(curTimestamp);
// advance timestamp by the interval's seconds value
curTimestamp += interval.getPeriod().toStandardSeconds().getSeconds();
if (entry != null) {
continue;
}
// synthesize a 0 value for this timestamp
entry = Maps.newHashMap();
entry.put("count", 0);
entry.put("min", 0);
entry.put("max", 0);
entry.put("total", 0);
entry.put("total_count", 0);
entry.put("mean", 0);
results.put(curTimestamp, entry);
}
return results;
}
}