Apache Flink 的吞吐量和延迟

Question

我已经为 Apache Fjava 编写了一个非常简单的 java 程序 link 现在我有兴趣测量统计数据，例如吞吐量（每秒处理的元组数）和延迟（时间程序需要处理每个输入元组）。

 StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();

env.readTextFile("/home/LizardKing/Documents/Power/Prova.csv")
        .map(new MyMapper().writeAsCsv("/home/LizardKing/Results.csv");

JobExecutionResult res = env.execute();

我知道 Flink 公开了一些指标：

https://ci.apache.org/projects/flink/flink-docs-release-1.2/monitoring/metrics.html

但我不确定如何使用它们来获得我想要的东西。从 link 我读到 "meter" 可以用来衡量平均吞吐量但是，在定义它之后，我应该如何使用它？

Answer 1

我们在 yarn 上运行生产流作业运行中的自定义指标，如 meter、gauge。

步骤如下：

对 pom.xml

的额外依赖

<dependency>
    <groupId>org.apache.flink</groupId>
    <artifactId>flink-metrics-dropwizard</artifactId>
    <version>${flink.version}</version>
</dependency>

我们使用的是 1.2.1 版本

然后将仪表添加到 MyMapper class .

import org.apache.flink.api.common.JobExecutionResult;
import org.apache.flink.api.common.functions.RichMapFunction;
import org.apache.flink.configuration.Configuration;
import org.apache.flink.dropwizard.metrics.DropwizardMeterWrapper;
import org.apache.flink.metrics.Meter;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;


public class Test {


    public static void main(String[] args) throws Exception {

        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();

        env
                .readTextFile("/home/LizardKing/Documents/Power/Prova.csv")
                .map(new MyMapper())
                .writeAsCsv("/home/LizardKing/Results.csv");

        JobExecutionResult res = env.execute();
    }


    private static class MyMapper extends RichMapFunction<String, Object> {

        private transient Meter meter;

        @Override
        public void open(Configuration parameters) throws Exception {
            super.open(parameters);
            this.meter = getRuntimeContext()
                    .getMetricGroup()
                    .meter("myMeter", new DropwizardMeterWrapper(new com.codahale.metrics.Meter()));
        }

        @Override
        public Object map(String value) throws Exception {    
            this.meter.markEvent();
            return value;
        }
    }
}

希望对您有所帮助。

Apache Flink 的吞吐量和延迟

Throughput and Latency on Apache Flink

java

apache-flink

latency

flink-streaming

throughput