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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.
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package org.elasticsearch.search.aggregations.bucket.histogram;
import org.apache.lucene.util.CollectionUtil;
import org.elasticsearch.common.inject.internal.Nullable;
import org.elasticsearch.common.lease.Releasables;
import org.elasticsearch.common.rounding.Rounding;
import org.elasticsearch.index.fielddata.LongValues;
import org.elasticsearch.search.aggregations.Aggregator;
import org.elasticsearch.search.aggregations.AggregatorFactories;
import org.elasticsearch.search.aggregations.InternalAggregation;
import org.elasticsearch.search.aggregations.bucket.BucketsAggregator;
import org.elasticsearch.search.aggregations.bucket.LongHash;
import org.elasticsearch.search.aggregations.support.AggregationContext;
import org.elasticsearch.search.aggregations.support.ValueSourceAggregatorFactory;
import org.elasticsearch.search.aggregations.support.ValuesSourceConfig;
import org.elasticsearch.search.aggregations.support.numeric.NumericValuesSource;
import org.elasticsearch.search.aggregations.support.numeric.ValueFormatter;
import java.io.IOException;
import java.util.ArrayList;
import java.util.Collections;
import java.util.List;
public class HistogramAggregator extends BucketsAggregator {
private final NumericValuesSource valuesSource;
private final Rounding rounding;
private final InternalOrder order;
private final boolean keyed;
private final long minDocCount;
private final AbstractHistogramBase.Factory histogramFactory;
private final LongHash bucketOrds;
public HistogramAggregator(String name,
AggregatorFactories factories,
Rounding rounding,
InternalOrder order,
boolean keyed,
long minDocCount,
@Nullable NumericValuesSource valuesSource,
long initialCapacity,
AbstractHistogramBase.Factory histogramFactory,
AggregationContext aggregationContext,
Aggregator parent) {
super(name, BucketAggregationMode.PER_BUCKET, factories, initialCapacity, aggregationContext, parent);
this.valuesSource = valuesSource;
this.rounding = rounding;
this.order = order;
this.keyed = keyed;
this.minDocCount = minDocCount;
this.histogramFactory = histogramFactory;
bucketOrds = new LongHash(initialCapacity, aggregationContext.pageCacheRecycler());
}
@Override
public boolean shouldCollect() {
return valuesSource != null;
}
@Override
public void collect(int doc, long owningBucketOrdinal) throws IOException {
assert owningBucketOrdinal == 0;
final LongValues values = valuesSource.longValues();
final int valuesCount = values.setDocument(doc);
long previousKey = Long.MIN_VALUE;
for (int i = 0; i < valuesCount; ++i) {
long value = values.nextValue();
long key = rounding.round(value);
assert key >= previousKey;
if (key == previousKey) {
continue;
}
long bucketOrd = bucketOrds.add(key);
if (bucketOrd < 0) { // already seen
bucketOrd = -1 - bucketOrd;
}
collectBucket(doc, bucketOrd);
previousKey = key;
}
}
@Override
public InternalAggregation buildAggregation(long owningBucketOrdinal) {
assert owningBucketOrdinal == 0;
List buckets = new ArrayList((int) bucketOrds.size());
for (long i = 0; i < bucketOrds.capacity(); ++i) {
final long ord = bucketOrds.id(i);
if (ord < 0) {
continue; // slot is not allocated
}
buckets.add(histogramFactory.createBucket(bucketOrds.key(i), bucketDocCount(ord), bucketAggregations(ord)));
}
CollectionUtil.introSort(buckets, order.comparator());
// value source will be null for unmapped fields
ValueFormatter formatter = valuesSource != null ? valuesSource.formatter() : null;
AbstractHistogramBase.EmptyBucketInfo emptyBucketInfo = minDocCount == 0 ? new AbstractHistogramBase.EmptyBucketInfo(rounding, buildEmptySubAggregations()) : null;
return histogramFactory.create(name, buckets, order, minDocCount, emptyBucketInfo, formatter, keyed);
}
@Override
public InternalAggregation buildEmptyAggregation() {
ValueFormatter formatter = valuesSource != null ? valuesSource.formatter() : null;
AbstractHistogramBase.EmptyBucketInfo emptyBucketInfo = minDocCount == 0 ? new AbstractHistogramBase.EmptyBucketInfo(rounding, buildEmptySubAggregations()) : null;
return histogramFactory.create(name, Collections.emptyList(), order, minDocCount, emptyBucketInfo, formatter, keyed);
}
@Override
public void doRelease() {
Releasables.release(bucketOrds);
}
public static class Factory extends ValueSourceAggregatorFactory {
private final Rounding rounding;
private final InternalOrder order;
private final boolean keyed;
private final long minDocCount;
private final AbstractHistogramBase.Factory histogramFactory;
public Factory(String name, ValuesSourceConfig valueSourceConfig,
Rounding rounding, InternalOrder order, boolean keyed, long minDocCount, AbstractHistogramBase.Factory histogramFactory) {
super(name, histogramFactory.type(), valueSourceConfig);
this.rounding = rounding;
this.order = order;
this.keyed = keyed;
this.minDocCount = minDocCount;
this.histogramFactory = histogramFactory;
}
@Override
protected Aggregator createUnmapped(AggregationContext aggregationContext, Aggregator parent) {
return new HistogramAggregator(name, factories, rounding, order, keyed, minDocCount, null, 0, histogramFactory, aggregationContext, parent);
}
@Override
protected Aggregator create(NumericValuesSource valuesSource, long expectedBucketsCount, AggregationContext aggregationContext, Aggregator parent) {
// todo if we'll keep track of min/max values in IndexFieldData, we could use the max here to come up with a better estimation for the buckets count
return new HistogramAggregator(name, factories, rounding, order, keyed, minDocCount, valuesSource, 50, histogramFactory, aggregationContext, parent);
}
}
}