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* 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
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package org.elasticsearch.search.aggregations.metrics.percentiles;
import org.apache.lucene.index.LeafReaderContext;
import org.elasticsearch.common.lease.Releasables;
import org.elasticsearch.common.util.ArrayUtils;
import org.elasticsearch.common.util.ObjectArray;
import org.elasticsearch.index.fielddata.SortedNumericDoubleValues;
import org.elasticsearch.search.aggregations.Aggregator;
import org.elasticsearch.search.aggregations.metrics.NumericMetricsAggregator;
import org.elasticsearch.search.aggregations.metrics.percentiles.tdigest.TDigestState;
import org.elasticsearch.search.aggregations.support.AggregationContext;
import org.elasticsearch.search.aggregations.support.ValuesSource;
import java.io.IOException;
import java.util.Map;
public abstract class AbstractPercentilesAggregator extends NumericMetricsAggregator.MultiValue {
private static int indexOfKey(double[] keys, double key) {
return ArrayUtils.binarySearch(keys, key, 0.001);
}
protected final double[] keys;
protected final ValuesSource.Numeric valuesSource;
private SortedNumericDoubleValues values;
protected ObjectArray<TDigestState> states;
protected final double compression;
protected final boolean keyed;
public AbstractPercentilesAggregator(String name, long estimatedBucketsCount, ValuesSource.Numeric valuesSource, AggregationContext context,
Aggregator parent, double[] keys, double compression, boolean keyed, Map<String, Object> metaData) {
super(name, estimatedBucketsCount, context, parent, metaData);
this.valuesSource = valuesSource;
this.keyed = keyed;
this.states = bigArrays.newObjectArray(estimatedBucketsCount);
this.keys = keys;
this.compression = compression;
}
@Override
public boolean shouldCollect() {
return valuesSource != null;
}
@Override
public void setNextReader(LeafReaderContext reader) {
values = valuesSource.doubleValues();
}
@Override
public void collect(int doc, long bucketOrd) throws IOException {
states = bigArrays.grow(states, bucketOrd + 1);
TDigestState state = states.get(bucketOrd);
if (state == null) {
state = new TDigestState(compression);
states.set(bucketOrd, state);
}
values.setDocument(doc);
final int valueCount = values.count();
for (int i = 0; i < valueCount; i++) {
state.add(values.valueAt(i));
}
}
@Override
public boolean hasMetric(String name) {
return indexOfKey(keys, Double.parseDouble(name)) >= 0;
}
protected TDigestState getState(long bucketOrd) {
if (bucketOrd >= states.size()) {
return null;
}
final TDigestState state = states.get(bucketOrd);
return state;
}
@Override
protected void doClose() {
Releasables.close(states);
}
}