问题描述

我们正在运行在纱线上的生产流作业中运行自定义指标，例如仪表，仪表。

步骤如下：

对pom.xml的附加依赖

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

我们正在使用1.2.1版

然后将仪表添加到MyMapper类。

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;
        }
    }
}

希望这可以帮助 。

解决方法

 StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();

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

JobExecutionResult res = env.execute();