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This is one of a series of CLs adding a new metric type, EventMetric, which is used for tracking numerical distributions. ------------- Created by MOE: https://github.com/google/moe MOE_MIGRATED_REVID=132103552
54 lines
1.7 KiB
Java
54 lines
1.7 KiB
Java
// Copyright 2016 The Domain Registry Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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package google.registry.monitoring.metrics;
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import com.google.auto.value.AutoValue;
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import com.google.common.collect.ImmutableRangeMap;
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import javax.annotation.concurrent.ThreadSafe;
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/**
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* An immutable {@link Distribution}. Instances of this class can used to create {@link MetricPoint}
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* instances, and should be used when exporting values to a {@link MetricWriter}.
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*
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* @see MutableDistribution
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*/
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@ThreadSafe
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@AutoValue
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public abstract class ImmutableDistribution implements Distribution {
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public static ImmutableDistribution copyOf(Distribution distribution) {
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return new AutoValue_ImmutableDistribution(
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distribution.mean(),
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distribution.sumOfSquaredDeviation(),
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distribution.count(),
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distribution.intervalCounts(),
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distribution.distributionFitter());
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}
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@Override
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public abstract double mean();
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@Override
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public abstract double sumOfSquaredDeviation();
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@Override
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public abstract long count();
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@Override
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public abstract ImmutableRangeMap<Double, Long> intervalCounts();
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@Override
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public abstract DistributionFitter distributionFitter();
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}
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