Copyright 2015 Netflix, Inc.

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/** * Copyright 2015 Netflix, Inc. * <p/> * 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 * <p/> * http://www.apache.org/licenses/LICENSE-2.0 * <p/> * 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.metric.HystrixEvent; import com.netflix.hystrix.metric.HystrixEventStream; import rx.Observable; import rx.functions.Action0; import rx.functions.Func1; import rx.functions.Func2; import java.util.concurrent.atomic.AtomicBoolean;
Refinement of BucketedCounterStream which reduces numBuckets at a time.
Type parameters:
  • <Event> – type of raw data that needs to get summarized into a bucket
  • <Bucket> – type of data contained in each bucket
  • <Output> – type of data emitted to stream subscribers (often is the same as A but does not have to be)
/** * Refinement of {@link BucketedCounterStream} which reduces numBuckets at a time. * * @param <Event> type of raw data that needs to get summarized into a bucket * @param <Bucket> type of data contained in each bucket * @param <Output> type of data emitted to stream subscribers (often is the same as A but does not have to be) */
public abstract class BucketedRollingCounterStream<Event extends HystrixEvent, Bucket, Output> extends BucketedCounterStream<Event, Bucket, Output> { private Observable<Output> sourceStream; private final AtomicBoolean isSourceCurrentlySubscribed = new AtomicBoolean(false); protected BucketedRollingCounterStream(HystrixEventStream<Event> stream, final int numBuckets, int bucketSizeInMs, final Func2<Bucket, Event, Bucket> appendRawEventToBucket, final Func2<Output, Bucket, Output> reduceBucket) { super(stream, numBuckets, bucketSizeInMs, appendRawEventToBucket); Func1<Observable<Bucket>, Observable<Output>> reduceWindowToSummary = new Func1<Observable<Bucket>, Observable<Output>>() { @Override public Observable<Output> call(Observable<Bucket> window) { return window.scan(getEmptyOutputValue(), reduceBucket).skip(numBuckets); } }; this.sourceStream = bucketedStream //stream broken up into buckets .window(numBuckets, 1) //emit overlapping windows of buckets .flatMap(reduceWindowToSummary) //convert a window of bucket-summaries into a single summary .doOnSubscribe(new Action0() { @Override public void call() { isSourceCurrentlySubscribed.set(true); } }) .doOnUnsubscribe(new Action0() { @Override public void call() { isSourceCurrentlySubscribed.set(false); } }) .share() //multiple subscribers should get same data .onBackpressureDrop(); //if there are slow consumers, data should not buffer } @Override public Observable<Output> observe() { return sourceStream; } /* package-private */ boolean isSourceCurrentlySubscribed() { return isSourceCurrentlySubscribed.get(); } }