/*
* 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.beam.runners.core.metrics;
import com.google.auto.value.AutoValue;
import java.io.Serializable;
import org.apache.beam.sdk.metrics.DistributionResult;
/**
* Data describing the the distribution. This should retain enough detail that it can be combined
* with other {@link DistributionData}.
*
* <p>This is kept distinct from {@link DistributionResult} since this may be extended to include
* data necessary to approximate quantiles, etc. while {@link DistributionResult} would just include
* the approximate value of those quantiles.
*/
@AutoValue
public abstract class DistributionData implements Serializable {
public abstract long sum();
public abstract long count();
public abstract long min();
public abstract long max();
public static final DistributionData EMPTY = create(0, 0, Long.MAX_VALUE, Long.MIN_VALUE);
public static DistributionData create(long sum, long count, long min, long max) {
return new AutoValue_DistributionData(sum, count, min, max);
}
public static DistributionData singleton(long value) {
return create(value, 1, value, value);
}
public DistributionData combine(DistributionData value) {
return create(
sum() + value.sum(),
count() + value.count(),
Math.min(value.min(), min()),
Math.max(value.max(), max()));
}
public DistributionResult extractResult() {
return DistributionResult.create(sum(), count(), min(), max());
}
}