kafka ConstantThroughputGenerator 源码

  • 2022-10-20
  • 浏览 (757)

kafka ConstantThroughputGenerator 代码

文件路径:/trogdor/src/main/java/org/apache/kafka/trogdor/workload/ConstantThroughputGenerator.java

/*
 * 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.kafka.trogdor.workload;
import com.fasterxml.jackson.annotation.JsonCreator;
import com.fasterxml.jackson.annotation.JsonProperty;
import org.apache.kafka.common.utils.Time;

/**
 * This throughput generator configures constant throughput.
 *
 * The lower the window size, the smoother the traffic will be. Using a 100ms window offers no noticeable spikes in
 * traffic while still being long enough to avoid too much overhead.
 *
 * Here is an example spec:
 *
 * {
 *    "type": "constant",
 *    "messagesPerWindow": 50,
 *    "windowSizeMs": 100
 * }
 *
 * This will produce a workload that runs 500 messages per second, with a maximum resolution of 50 messages per 100
 * millisecond.
 *
 * If `messagesPerWindow` is less than or equal to 0, `throttle` will not throttle at all and will return immediately.
 */

public class ConstantThroughputGenerator implements ThroughputGenerator {
    private final int messagesPerWindow;
    private final long windowSizeMs;

    private long nextWindowStarts = 0;
    private int messageTracker = 0;

    @JsonCreator
    public ConstantThroughputGenerator(@JsonProperty("messagesPerWindow") int messagesPerWindow,
                                       @JsonProperty("windowSizeMs") long windowSizeMs) {
        // Calculate the default values.
        if (windowSizeMs <= 0) {
            windowSizeMs = 100;
        }
        this.windowSizeMs = windowSizeMs;
        this.messagesPerWindow = messagesPerWindow;
        calculateNextWindow();
    }

    @JsonProperty
    public long windowSizeMs() {
        return windowSizeMs;
    }

    @JsonProperty
    public int messagesPerWindow() {
        return messagesPerWindow;
    }

    private void calculateNextWindow() {
        // Reset the message count.
        messageTracker = 0;

        // Calculate the next window start time.
        long now = Time.SYSTEM.milliseconds();
        if (nextWindowStarts > 0) {
            while (nextWindowStarts <= now) {
                nextWindowStarts += windowSizeMs;
            }
        } else {
            nextWindowStarts = now + windowSizeMs;
        }
    }

    @Override
    public synchronized void throttle() throws InterruptedException {
        // Run unthrottled if messagesPerWindow is not positive.
        if (messagesPerWindow <= 0) {
            return;
        }

        // Calculate the next window if we've moved beyond the current one.
        if (Time.SYSTEM.milliseconds() >= nextWindowStarts) {
            calculateNextWindow();
        }

        // Increment the message tracker.
        messageTracker += 1;

        // Compare the tracked message count with the throttle limits.
        if (messageTracker >= messagesPerWindow) {

            // Wait the difference in time between now and when the next window starts.
            while (nextWindowStarts > Time.SYSTEM.milliseconds()) {
                wait(nextWindowStarts - Time.SYSTEM.milliseconds());
            }
        }
    }
}

相关信息

kafka 源码目录

相关文章

kafka ConfigurableProducerSpec 源码

kafka ConfigurableProducerWorker 源码

kafka ConnectionStressSpec 源码

kafka ConnectionStressWorker 源码

kafka ConstantFlushGenerator 源码

kafka ConstantPayloadGenerator 源码

kafka ConsumeBenchSpec 源码

kafka ConsumeBenchWorker 源码

kafka ExternalCommandSpec 源码

kafka ExternalCommandWorker 源码

0  赞