I have written a very simple java program for Apache Flink and now I am interested in measuring statistics such as throughput (number of tuples processed per second) and lat
We are running custom metrics like meter, gauge in our production streaming job running on yarn .
Here are steps :
Additional dependency to pom.xml
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-metrics-dropwizard</artifactId>
<version>${flink.version}</version>
</dependency>
We are using version 1.2.1
Then add meter to 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;
}
}
}
Hope this helps .