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The Apache Cassandra Project develops a highly scalable second-generation distributed database, bringing together Dynamo's fully distributed design and Bigtable's ColumnFamily-based data model.

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/*
 * 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
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 */
package org.apache.cassandra.net;

import java.net.InetAddress;
import java.util.concurrent.TimeUnit;

import com.google.common.util.concurrent.RateLimiter;

import org.apache.cassandra.utils.SlidingTimeRate;
import org.apache.cassandra.utils.TimeSource;
import org.apache.cassandra.utils.concurrent.IntervalLock;

/**
 * The rate-based back-pressure state, tracked per replica host.
 * 

* * This back-pressure state is made up of the following attributes: *
    *
  • windowSize: the length of the back-pressure window in milliseconds.
  • *
  • incomingRate: the rate of back-pressure supporting incoming messages.
  • *
  • outgoingRate: the rate of back-pressure supporting outgoing messages.
  • *
  • rateLimiter: the rate limiter to eventually apply to outgoing messages.
  • *
*
* The incomingRate and outgoingRate are updated together when a response is received to guarantee consistency between * the two. *
* It also provides methods to exclusively lock/release back-pressure windows at given intervals; * this allows to apply back-pressure even under concurrent modifications. Please also note a read lock is acquired * during response processing so that no concurrent rate updates can screw rate computations. */ class RateBasedBackPressureState extends IntervalLock implements BackPressureState { private final InetAddress host; private final long windowSize; final SlidingTimeRate incomingRate; final SlidingTimeRate outgoingRate; final RateLimiter rateLimiter; RateBasedBackPressureState(InetAddress host, TimeSource timeSource, long windowSize) { super(timeSource); this.host = host; this.windowSize = windowSize; this.incomingRate = new SlidingTimeRate(timeSource, this.windowSize, this.windowSize / 10, TimeUnit.MILLISECONDS); this.outgoingRate = new SlidingTimeRate(timeSource, this.windowSize, this.windowSize / 10, TimeUnit.MILLISECONDS); this.rateLimiter = RateLimiter.create(Double.POSITIVE_INFINITY); } @Override public void onMessageSent(MessageOut message) {} @Override public void onResponseReceived() { readLock().lock(); try { incomingRate.update(1); outgoingRate.update(1); } finally { readLock().unlock(); } } @Override public void onResponseTimeout() { readLock().lock(); try { outgoingRate.update(1); } finally { readLock().unlock(); } } @Override public double getBackPressureRateLimit() { return rateLimiter.getRate(); } @Override public InetAddress getHost() { return host; } @Override public boolean equals(Object obj) { if (obj instanceof RateBasedBackPressureState) { RateBasedBackPressureState other = (RateBasedBackPressureState) obj; return this.host.equals(other.host); } return false; } @Override public int hashCode() { return this.host.hashCode(); } @Override public String toString() { return String.format("[host: %s, incoming rate: %.3f, outgoing rate: %.3f, rate limit: %.3f]", host, incomingRate.get(TimeUnit.SECONDS), outgoingRate.get(TimeUnit.SECONDS), rateLimiter.getRate()); } }




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