/*
- Copyright 2014 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/license...
* - 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.discovery.util;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.atomic.AtomicInteger;
import java.util.concurrent.atomic.AtomicLong;
/**
- Rate limiter implementation is based on token bucket algorithm. There are two parameters:
- <ul>
- <li>
- burst size - maximum number of requests allowed into the system as a burst
- </li>
- <li>
- average rate - expected number of requests per second (RateLimiters using MINUTES is also supported)
- </li>
- </ul>
* - @author Tomasz Bak
*/
public class RateLimiter {
private final long rateToMsConversion;private final AtomicInteger consumedTokens = new AtomicInteger();private final AtomicLong lastRefillTime = new AtomicLong(0);@Deprecatedpublic RateLimiter() { this(TimeUnit.SECONDS);}public RateLimiter(TimeUnit averageRateUnit) { switch (averageRateUnit) { case SECONDS: rateToMsConversion = 1000; break; case MINUTES: rateToMsConversion = 60 * 1000; break; default: throw new IllegalArgumentException("TimeUnit of " + averageRateUnit + " is not supported"); }}public boolean acquire(int burstSize, long averageRate) { return acquire(burstSize, averageRate, System.currentTimeMillis());}public boolean acquire(int burstSize, long averageRate, long currentTimeMillis) { if (burstSize <= 0 || averageRate <= 0) { // Instead of throwing exception, we just let all the traffic go return true; } refillToken(burstSize, averageRate, currentTimeMillis); return consumeToken(burstSize);}private void refillToken(int burstSize, long averageRate, long currentTimeMillis) { long refillTime = lastRefillTime.get(); long timeDelta = currentTimeMillis - refillTime; long newTokens = timeDelta * averageRate / rateToMsConversion; if (newTokens > 0) { long newRefillTime = refillTime == 0 ? currentTimeMillis : refillTime + newTokens * rateToMsConversion / averageRate; if (lastRefillTime.compareAndSet(refillTime, newRefillTime)) { while (true) { int currentLevel = consumedTokens.get(); int adjustedLevel = Math.min(currentLevel, burstSize); // In case burstSize decreased int newLevel = (int) Math.max(0, adjustedLevel - newTokens); if (consumedTokens.compareAndSet(currentLevel, newLevel)) { return; } } } }}private boolean consumeToken(int burstSize) { while (true) { int currentLevel = consumedTokens.get(); if (currentLevel >= burstSize) { return false; } if (consumedTokens.compareAndSet(currentLevel, currentLevel + 1)) { return true; } }}public void reset() { consumedTokens.set(0); lastRefillTime.set(0);}
}