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/*
* SPDX-License-Identifier: Apache-2.0
*
* The OpenSearch Contributors require contributions made to
* this file be licensed under the Apache-2.0 license or a
* compatible open source license.
*/
/*
* 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.
*/
/*
* Modifications Copyright OpenSearch Contributors. See
* GitHub history for details.
*/
package org.opensearch.search.aggregations.pipeline;
import org.opensearch.LegacyESVersion;
import org.opensearch.core.common.io.stream.StreamInput;
import org.opensearch.core.common.io.stream.StreamOutput;
import org.opensearch.search.DocValueFormat;
import org.opensearch.search.aggregations.InternalAggregation;
import org.opensearch.search.aggregations.pipeline.BucketHelpers.GapPolicy;
import java.io.IOException;
import java.util.ArrayList;
import java.util.Collections;
import java.util.List;
import java.util.Map;
/**
* Aggregate all docs into a percentiles bucket
*
* @opensearch.internal
*/
public class PercentilesBucketPipelineAggregator extends BucketMetricsPipelineAggregator {
private final double[] percents;
private boolean keyed = true;
private List data;
PercentilesBucketPipelineAggregator(
String name,
double[] percents,
boolean keyed,
String[] bucketsPaths,
GapPolicy gapPolicy,
DocValueFormat formatter,
Map metadata
) {
super(name, bucketsPaths, gapPolicy, formatter, metadata);
this.percents = percents;
this.keyed = keyed;
}
/**
* Read from a stream.
*/
public PercentilesBucketPipelineAggregator(StreamInput in) throws IOException {
super(in);
percents = in.readDoubleArray();
if (in.getVersion().onOrAfter(LegacyESVersion.V_7_0_0)) {
keyed = in.readBoolean();
}
}
@Override
public void innerWriteTo(StreamOutput out) throws IOException {
out.writeDoubleArray(percents);
if (out.getVersion().onOrAfter(LegacyESVersion.V_7_0_0)) {
out.writeBoolean(keyed);
}
}
@Override
public String getWriteableName() {
return PercentilesBucketPipelineAggregationBuilder.NAME;
}
@Override
protected void preCollection() {
data = new ArrayList<>(1024);
}
@Override
protected void collectBucketValue(String bucketKey, Double bucketValue) {
data.add(bucketValue);
}
@Override
protected InternalAggregation buildAggregation(Map 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) Math.round((percents[i] / 100.0) * (data.size() - 1));
percentiles[i] = data.get(index);
}
}
// todo need postCollection() to clean up temp sorted data?
return new InternalPercentilesBucket(name(), percents, percentiles, keyed, format, metadata);
}
}