I am trying to do few (union + reduceByKey) operations on a hiearchical dataset in a iterative fashion in rdd. The first few loops run fine but on the subsequent loops, the operations ends up using the whole scratch space provided to it.
I have set the spark scratch directory, i.e. SPARK_LOCAL_DIRS , to be one having 100 GB space. The heirarchical dataset, whose size is (< 400kB), remains constant throughout the iterations. I have tried the worker cleanup flag but it has no effect i.e. "spark.worker.cleanup.enabled=true" Error : Caused by: java.io.IOException: No space left on device at java.io.FileOutputStream.writeBytes(Native Method) at java.io.FileOutputStream.write(FileOutputStream.java:326) at java.io.BufferedOutputStream.flushBuffer(BufferedOutputStream.java:82) at java.io.BufferedOutputStream.write(BufferedOutputStream.java:126) at java.io.DataOutputStream.writeLong(DataOutputStream.java:224) at org.apache.spark.shuffle.IndexShuffleBlockResolver$$anonfun$writeIndexFileAndCommit$1$$anonfun$apply$mcV$sp$1.apply$mcVJ$sp(IndexShuffleBlockResolver.scala:151) at org.apache.spark.shuffle.IndexShuffleBlockResolver$$anonfun$writeIndexFileAndCommit$1$$anonfun$apply$mcV$sp$1.apply(IndexShuffleBlockResolver.scala:149) at org.apache.spark.shuffle.IndexShuffleBlockResolver$$anonfun$writeIndexFileAndCommit$1$$anonfun$apply$mcV$sp$1.apply(IndexShuffleBlockResolver.scala:149) at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33) at scala.collection.mutable.ArrayOps$ofLong.foreach(ArrayOps.scala:246) at org.apache.spark.shuffle.IndexShuffleBlockResolver$$anonfun$writeIndexFileAndCommit$1.apply$mcV$sp(IndexShuffleBlockResolver.scala:149) at org.apache.spark.shuffle.IndexShuffleBlockResolver$$anonfun$writeIndexFileAndCommit$1.apply(IndexShuffleBlockResolver.scala:145) at org.apache.spark.shuffle.IndexShuffleBlockResolver$$anonfun$writeIndexFileAndCommit$1.apply(IndexShuffleBlockResolver.scala:145) at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377) at org.apache.spark.shuffle.IndexShuffleBlockResolver.writeIndexFileAndCommit(IndexShuffleBlockResolver.scala:153) at org.apache.spark.shuffle.sort.SortShuffleWriter.write(SortShuffleWriter.scala:73) at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96) at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53) at org.apache.spark.scheduler.Task.run(Task.scala:109) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) at java.lang.Thread.run(Thread.java:748) What I am trying to do (High Level): I have a dataset of 5 different csv ( Parent, Child1, Child2, Child21, Child22 ) which are related in a hierarchical fashion as shown below. Parent-> Child1 -> Child2 -> Child21 Parent-> Child1 -> Child2 -> Child22 Each element in the tree has 14 columns (elementid, parentelement_id, cat1, cat2, num1, num2,....., num10) I am trying to aggregate the values of one column of Child21 into Child1 (i.e. 2 levels up). I am doing the same for another column value of Child22 into Child1. Then I am merging these aggregated values at the same Child1 level. This is present in the code at location : spark.rddexample.dummyrdd.tree.child1.events.Function1 Code which replicates the issue: 1] https://github.com/dineshdharme/SparkRddShuffleIssue Steps to reproduce the issue : 1] Clone the above repository. 2] Put the csvs in the "issue-data" folder in the above repository at a hadoop location "hdfs:///tree/dummy/data/" 3] Set the spark scratch directory (SPARK_LOCAL_DIRS) to a folder which has large space. (> 100 GB) 4] Run "sbt assembly" 5] Run the following command at the project location /path/to/spark-2.3.0-bin-hadoop2.7/bin/spark-submit \ --class spark.rddexample.dummyrdd.FunctionExecutor \ --master local[2] \ --deploy-mode client \ --executor-memory 2G \ --driver-memory 2G \ target/scala-2.11/rdd-shuffle-assembly-0.1.0.jar \ 20 \ hdfs:///tree/dummy/data/ \ hdfs:///tree/dummy/results/ -- Sent from: http://apache-spark-user-list.1001560.n3.nabble.com/ --------------------------------------------------------------------- To unsubscribe e-mail: user-unsubscr...@spark.apache.org
