google-nomulus/java/google/registry/monitoring/metrics/ImmutableDistribution.java
shikhman 2ba9b01a13 Add the EventMetric metric type
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Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=132345599
2016-09-07 12:01:58 -04:00

73 lines
2.4 KiB
Java

// Copyright 2016 The Domain Registry Authors. All Rights Reserved.
//
// Licensed 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 google.registry.monitoring.metrics;
import static com.google.common.base.Preconditions.checkArgument;
import static google.registry.monitoring.metrics.MetricsUtils.checkDouble;
import com.google.auto.value.AutoValue;
import com.google.common.annotations.VisibleForTesting;
import com.google.common.collect.ImmutableRangeMap;
import javax.annotation.concurrent.ThreadSafe;
/**
* An immutable {@link Distribution}. Instances of this class can used to create {@link MetricPoint}
* instances, and should be used when exporting values to a {@link MetricWriter}.
*
* @see MutableDistribution
*/
@ThreadSafe
@AutoValue
public abstract class ImmutableDistribution implements Distribution {
public static ImmutableDistribution copyOf(Distribution distribution) {
return new AutoValue_ImmutableDistribution(
distribution.mean(),
distribution.sumOfSquaredDeviation(),
distribution.count(),
distribution.intervalCounts(),
distribution.distributionFitter());
}
@VisibleForTesting
static ImmutableDistribution create(
double mean,
double sumOfSquaredDeviation,
long count,
ImmutableRangeMap<Double, Long> intervalCounts,
DistributionFitter distributionFitter) {
checkDouble(mean);
checkDouble(sumOfSquaredDeviation);
checkArgument(count >= 0);
return new AutoValue_ImmutableDistribution(
mean, sumOfSquaredDeviation, count, intervalCounts, distributionFitter);
}
@Override
public abstract double mean();
@Override
public abstract double sumOfSquaredDeviation();
@Override
public abstract long count();
@Override
public abstract ImmutableRangeMap<Double, Long> intervalCounts();
@Override
public abstract DistributionFitter distributionFitter();
}