All Downloads are FREE. Search and download functionalities are using the official Maven repository.

com.netflix.hystrix.metric.consumer.RollingCommandMaxConcurrencyStream Maven / Gradle / Ivy

There is a newer version: 1.5.18
Show newest version
/**
 * Copyright 2015 Netflix, Inc.
 * 

* 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 com.netflix.hystrix.metric.consumer; import com.netflix.hystrix.HystrixCommandKey; import com.netflix.hystrix.HystrixCommandProperties; import com.netflix.hystrix.metric.HystrixCommandStartStream; import java.util.concurrent.ConcurrentHashMap; import java.util.concurrent.ConcurrentMap; /** * Maintains a stream of the maximum concurrency seen by this command. * * This gets calculated using a rolling window of t1 milliseconds. This window has b buckets. * Therefore, a new rolling-max is produced every t2 (=t1/b) milliseconds * t1 = {@link HystrixCommandProperties#metricsRollingStatisticalWindowInMilliseconds()} * b = {@link HystrixCommandProperties#metricsRollingStatisticalWindowBuckets()} * * This value gets cached in this class. It may be queried using {@link #getLatestRollingMax()} * This value is stable - there's no peeking into a bucket until it is emitted * */ public class RollingCommandMaxConcurrencyStream extends RollingConcurrencyStream { private static final ConcurrentMap streams = new ConcurrentHashMap(); public static RollingCommandMaxConcurrencyStream getInstance(HystrixCommandKey commandKey, HystrixCommandProperties properties) { final int counterMetricWindow = properties.metricsRollingStatisticalWindowInMilliseconds().get(); final int numCounterBuckets = properties.metricsRollingStatisticalWindowBuckets().get(); final int counterBucketSizeInMs = counterMetricWindow / numCounterBuckets; return getInstance(commandKey, numCounterBuckets, counterBucketSizeInMs); } public static RollingCommandMaxConcurrencyStream getInstance(HystrixCommandKey commandKey, int numBuckets, int bucketSizeInMs) { RollingCommandMaxConcurrencyStream initialStream = streams.get(commandKey.name()); if (initialStream != null) { return initialStream; } else { synchronized (RollingCommandMaxConcurrencyStream.class) { RollingCommandMaxConcurrencyStream existingStream = streams.get(commandKey.name()); if (existingStream == null) { RollingCommandMaxConcurrencyStream newStream = new RollingCommandMaxConcurrencyStream(commandKey, numBuckets, bucketSizeInMs); streams.putIfAbsent(commandKey.name(), newStream); return newStream; } else { return existingStream; } } } } public static void reset() { streams.clear(); } private RollingCommandMaxConcurrencyStream(final HystrixCommandKey commandKey, final int numBuckets, final int bucketSizeInMs) { super(HystrixCommandStartStream.getInstance(commandKey), numBuckets, bucketSizeInMs); } }





© 2015 - 2024 Weber Informatics LLC | Privacy Policy