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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
 * limitations under the License.
 */
package org.apache.cassandra.utils;

import java.util.concurrent.ConcurrentNavigableMap;
import java.util.concurrent.ConcurrentSkipListMap;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.atomic.AtomicInteger;
import java.util.concurrent.atomic.AtomicLong;
import java.util.concurrent.locks.ReadWriteLock;
import java.util.concurrent.locks.ReentrantReadWriteLock;

import com.google.common.annotations.VisibleForTesting;
import com.google.common.base.Preconditions;

/**
 * Concurrent rate computation over a sliding time window.
 */
public class SlidingTimeRate
{
    private final ConcurrentSkipListMap counters = new ConcurrentSkipListMap<>();
    private final AtomicLong lastCounterTimestamp = new AtomicLong(0);
    private final ReadWriteLock pruneLock = new ReentrantReadWriteLock();
    private final long sizeInMillis;
    private final long precisionInMillis;
    private final TimeSource timeSource;

    /**
     * Creates a sliding rate whose time window is of the given size, with the given precision and time unit.
     * 
* The precision defines how accurate the rate computation is, as it will be computed over window size +/- * precision. */ public SlidingTimeRate(TimeSource timeSource, long size, long precision, TimeUnit unit) { Preconditions.checkArgument(size > precision, "Size should be greater than precision."); Preconditions.checkArgument(TimeUnit.MILLISECONDS.convert(precision, unit) >= 1, "Precision must be greater than or equal to 1 millisecond."); this.sizeInMillis = TimeUnit.MILLISECONDS.convert(size, unit); this.precisionInMillis = TimeUnit.MILLISECONDS.convert(precision, unit); this.timeSource = timeSource; } /** * Updates the rate. */ public void update(int delta) { pruneLock.readLock().lock(); try { while (true) { long now = timeSource.currentTimeMillis(); long lastTimestamp = lastCounterTimestamp.get(); boolean isWithinPrecisionRange = (now - lastTimestamp) < precisionInMillis; AtomicInteger lastCounter = counters.get(lastTimestamp); // If there's a valid counter for the current last timestamp, and we're in the precision range, // update such counter: if (lastCounter != null && isWithinPrecisionRange) { lastCounter.addAndGet(delta); break; } // Else if there's no counter or we're past the precision range, try to create a new counter, // but only the thread updating the last timestamp will create a new counter: else if (lastCounterTimestamp.compareAndSet(lastTimestamp, now)) { AtomicInteger existing = counters.putIfAbsent(now, new AtomicInteger(delta)); if (existing != null) { existing.addAndGet(delta); } break; } } } finally { pruneLock.readLock().unlock(); } } /** * Gets the current rate in the given time unit from the beginning of the time window to the * provided point in time ago. */ public double get(long toAgo, TimeUnit unit) { pruneLock.readLock().lock(); try { long toAgoInMillis = TimeUnit.MILLISECONDS.convert(toAgo, unit); Preconditions.checkArgument(toAgoInMillis < sizeInMillis, "Cannot get rate in the past!"); long now = timeSource.currentTimeMillis(); long sum = 0; ConcurrentNavigableMap tailCounters = counters .tailMap(now - sizeInMillis, true) .headMap(now - toAgoInMillis, true); for (AtomicInteger i : tailCounters.values()) { sum += i.get(); } double rateInMillis = sum == 0 ? sum : sum / (double) Math.max(1000, (now - toAgoInMillis) - tailCounters.firstKey()); double multiplier = TimeUnit.MILLISECONDS.convert(1, unit); return rateInMillis * multiplier; } finally { pruneLock.readLock().unlock(); } } /** * Gets the current rate in the given time unit. */ public double get(TimeUnit unit) { return get(0, unit); } /** * Prunes the time window of old unused updates. */ public void prune() { pruneLock.writeLock().lock(); try { long now = timeSource.currentTimeMillis(); counters.headMap(now - sizeInMillis, false).clear(); } finally { pruneLock.writeLock().unlock(); } } @VisibleForTesting public int size() { return counters.values().stream().reduce(new AtomicInteger(), (v1, v2) -> { v1.addAndGet(v2.get()); return v1; }).get(); } }




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