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/*
* Licensed to Elasticsearch 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.aggregations.pipeline.bucketmetrics.percentile;
import org.elasticsearch.common.ParseField;
import org.elasticsearch.common.io.stream.StreamInput;
import org.elasticsearch.common.io.stream.StreamOutput;
import org.elasticsearch.search.DocValueFormat;
import org.elasticsearch.search.aggregations.InternalAggregation;
import org.elasticsearch.search.aggregations.InternalAggregation.Type;
import org.elasticsearch.search.aggregations.pipeline.BucketHelpers.GapPolicy;
import org.elasticsearch.search.aggregations.pipeline.PipelineAggregator;
import org.elasticsearch.search.aggregations.pipeline.PipelineAggregatorStreams;
import org.elasticsearch.search.aggregations.pipeline.bucketmetrics.BucketMetricsPipelineAggregator;
import java.io.IOException;
import java.util.ArrayList;
import java.util.Collections;
import java.util.List;
import java.util.Map;
public class PercentilesBucketPipelineAggregator extends BucketMetricsPipelineAggregator {
public static final Type TYPE = new Type("percentiles_bucket");
public final ParseField PERCENTS_FIELD = new ParseField("percents");
public static final PipelineAggregatorStreams.Stream STREAM = new PipelineAggregatorStreams.Stream() {
@Override
public PercentilesBucketPipelineAggregator readResult(StreamInput in) throws IOException {
PercentilesBucketPipelineAggregator result = new PercentilesBucketPipelineAggregator();
result.readFrom(in);
return result;
}
};
public static void registerStreams() {
PipelineAggregatorStreams.registerStream(STREAM, TYPE.stream());
InternalPercentilesBucket.registerStreams();
}
private double[] percents;
private List<Double> data;
private PercentilesBucketPipelineAggregator() {
}
protected PercentilesBucketPipelineAggregator(String name, double[] percents, String[] bucketsPaths, GapPolicy gapPolicy,
DocValueFormat formatter, Map<String, Object> metaData) {
super(name, bucketsPaths, gapPolicy, formatter, metaData);
this.percents = percents;
}
@Override
public Type type() {
return TYPE;
}
@Override
protected void preCollection() {
data = new ArrayList<>(1024);
}
@Override
protected void collectBucketValue(String bucketKey, Double bucketValue) {
data.add(bucketValue);
}
@Override
protected InternalAggregation buildAggregation(List<PipelineAggregator> pipelineAggregators, Map<String, Object> metadata) {
// Perform the sorting and percentile collection now that all the data
// has been collected.
Collections.sort(data);
double[] percentiles = new double[percents.length];
if (data.size() == 0) {
for (int i = 0; i < percents.length; i++) {
percentiles[i] = Double.NaN;
}
} else {
for (int i = 0; i < percents.length; i++) {
int index = (int)((percents[i] / 100.0) * data.size());
percentiles[i] = data.get(index);
}
}
// todo need postCollection() to clean up temp sorted data?
return new InternalPercentilesBucket(name(), percents, percentiles, format, pipelineAggregators, metadata);
}
@Override
public void innerReadFrom(StreamInput in) throws IOException {
percents = in.readDoubleArray();
}
@Override
public void innerWriteTo(StreamOutput out) throws IOException {
out.writeDoubleArray(percents);
}
}
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