[jira] [Created] (SPARK-15716) Memory usage keep growing up in Spark Streaming

["Yan Chen (JIRA)" <ji...@apache.org>]

Yan Chen created SPARK-15716:
--------------------------------

             Summary: Memory usage keep growing up in Spark Streaming
                 Key: SPARK-15716
                 URL: https://issues.apache.org/jira/browse/SPARK-15716
             Project: Spark
          Issue Type: Bug
          Components: Streaming
    Affects Versions: 1.4.1
         Environment: Oracle Java 1.8.0_51, SUSE Linux
            Reporter: Yan Chen
            Priority: Critical


Code:
{code:java}
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.lib.input.TextInputFormat;
import org.apache.spark.SparkConf;
import org.apache.spark.SparkContext;
import org.apache.spark.streaming.Durations;
import org.apache.spark.streaming.StreamingContext;
import org.apache.spark.streaming.api.java.JavaPairDStream;
import org.apache.spark.streaming.api.java.JavaStreamingContext;
import org.apache.spark.streaming.api.java.JavaStreamingContextFactory;

public class App {

  public static void main(String[] args) {
    final String input = args[0];
    final String check = args[1];
    final long interval = Long.parseLong(args[2]);

    final SparkConf conf = new SparkConf();
    conf.set("spark.yarn.access.namenodes", "hdfs://RBCDHDPA1");
    conf.set("spark.streaming.minRememberDuration", "180s");
    conf.set("spark.streaming.receiver.writeAheadLog.enable", "true");
    conf.set("spark.streaming.unpersist", "true");
    conf.set("spark.streaming.ui.retainedBatches", "10");
    conf.set("spark.ui.retainedJobs", "10");
    conf.set("spark.ui.retainedStages", "10");
    conf.set("spark.worker.ui.retainedExecutors", "10");
    conf.set("spark.worker.ui.retainedDrivers", "10");
    conf.set("spark.sql.ui.retainedExecutions", "10");

    JavaStreamingContextFactory jscf = () -> {
      SparkContext sc = new SparkContext(conf);
      sc.setCheckpointDir(check);

      StreamingContext ssc = new StreamingContext(sc, Durations.milliseconds(interval));
      JavaStreamingContext jssc = new JavaStreamingContext(ssc);

      jssc.checkpoint(check);

      // setup pipeline here
      JavaPairDStream<LongWritable, Text> inputStream =
          jssc.fileStream(
              input,
              LongWritable.class,
              Text.class,
              TextInputFormat.class,
              (filepath) -> Boolean.TRUE,
              false
          );

      JavaPairDStream<LongWritable, Text> usbk = inputStream
          .updateStateByKey((current, state) -> state);

      usbk.checkpoint(Durations.seconds(10));

      usbk.foreachRDD(rdd -> {
        rdd.count();
        System.out.println("usbk: " + rdd.toDebugString().split("\n").length);
        return null;
      });

      return jssc;
    };

    JavaStreamingContext jssc = JavaStreamingContext.getOrCreate(check, jscf);

    jssc.start();
    jssc.awaitTermination();


  }

}
{code}

It's a very simple piece of code, when I ran it, the memory usage of driver keeps going up.

!http://i.imgur.com/uSzUui6.png!

The right most four red triangles are full GC's which are triggered manually by using "jcmd pid GC.run" command.




--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org