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/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF 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.apache.druid.query.timeseries;
import org.apache.druid.java.util.common.granularity.AllGranularity;
import org.apache.druid.java.util.common.granularity.Granularity;
import org.apache.druid.query.Result;
import org.apache.druid.query.aggregation.AggregatorFactory;
import java.util.LinkedHashMap;
import java.util.List;
import java.util.Map;
import java.util.function.BinaryOperator;
/**
*/
public class TimeseriesBinaryFn implements BinaryOperator<Result<TimeseriesResultValue>>
{
private final Granularity gran;
private final List<AggregatorFactory> aggregations;
public TimeseriesBinaryFn(
Granularity granularity,
List<AggregatorFactory> aggregations
)
{
this.gran = granularity;
this.aggregations = aggregations;
}
@Override
public Result<TimeseriesResultValue> apply(Result<TimeseriesResultValue> arg1, Result<TimeseriesResultValue> arg2)
{
if (arg1 == null) {
return arg2;
}
if (arg2 == null) {
return arg1;
}
TimeseriesResultValue arg1Val = arg1.getValue();
TimeseriesResultValue arg2Val = arg2.getValue();
Map<String, Object> retVal = new LinkedHashMap<String, Object>();
for (AggregatorFactory factory : aggregations) {
final String metricName = factory.getName();
retVal.put(metricName, factory.combine(arg1Val.getMetric(metricName), arg2Val.getMetric(metricName)));
}
return (gran instanceof AllGranularity) ?
new Result<TimeseriesResultValue>(
arg1.getTimestamp(),
new TimeseriesResultValue(retVal)
) :
new Result<TimeseriesResultValue>(
gran.bucketStart(arg1.getTimestamp()),
new TimeseriesResultValue(retVal)
);
}
}