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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.metrics;
import org.opensearch.core.common.io.stream.StreamInput;
import org.opensearch.core.common.io.stream.StreamOutput;
import org.opensearch.core.xcontent.XContentBuilder;
import org.opensearch.search.DocValueFormat;
import org.opensearch.search.aggregations.InternalAggregation;
import java.io.IOException;
import java.util.List;
import java.util.Map;
import java.util.Objects;
/**
* Implementation of internal agg
*
* @opensearch.internal
*/
public class InternalAvg extends InternalNumericMetricsAggregation.SingleValue implements Avg {
private final double sum;
private final long count;
public InternalAvg(String name, double sum, long count, DocValueFormat format, Map metadata) {
super(name, metadata);
this.sum = sum;
this.count = count;
this.format = format;
}
/**
* Read from a stream.
*/
public InternalAvg(StreamInput in) throws IOException {
super(in);
format = in.readNamedWriteable(DocValueFormat.class);
sum = in.readDouble();
count = in.readVLong();
}
@Override
protected void doWriteTo(StreamOutput out) throws IOException {
out.writeNamedWriteable(format);
out.writeDouble(sum);
out.writeVLong(count);
}
@Override
public double value() {
return getValue();
}
@Override
public double getValue() {
return sum / count;
}
double getSum() {
return sum;
}
long getCount() {
return count;
}
DocValueFormat getFormatter() {
return format;
}
@Override
public String getWriteableName() {
return AvgAggregationBuilder.NAME;
}
@Override
public InternalAvg reduce(List aggregations, ReduceContext reduceContext) {
CompensatedSum kahanSummation = new CompensatedSum(0, 0);
long count = 0;
// Compute the sum of double values with Kahan summation algorithm which is more
// accurate than naive summation.
for (InternalAggregation aggregation : aggregations) {
InternalAvg avg = (InternalAvg) aggregation;
count += avg.count;
kahanSummation.add(avg.sum);
}
return new InternalAvg(getName(), kahanSummation.value(), count, format, getMetadata());
}
@Override
public XContentBuilder doXContentBody(XContentBuilder builder, Params params) throws IOException {
builder.field(CommonFields.VALUE.getPreferredName(), count != 0 ? getValue() : null);
if (count != 0 && format != DocValueFormat.RAW) {
builder.field(CommonFields.VALUE_AS_STRING.getPreferredName(), format.format(getValue()).toString());
}
return builder;
}
@Override
public int hashCode() {
return Objects.hash(super.hashCode(), sum, count, format.getWriteableName());
}
@Override
public boolean equals(Object obj) {
if (this == obj) return true;
if (obj == null || getClass() != obj.getClass()) return false;
if (super.equals(obj) == false) return false;
InternalAvg other = (InternalAvg) obj;
return Objects.equals(sum, other.sum)
&& Objects.equals(count, other.count)
&& Objects.equals(format.getWriteableName(), other.format.getWriteableName());
}
}