Please also include the patch version, such as 1.6.0, 1.6.1. Could you also post the JAVARDDKafkaWriter codes. It's also possible that it leaks resources.
On Tue, Jan 31, 2017 at 2:12 PM, Nipun Arora <nipunarora2...@gmail.com> wrote: > It is spark 1.6 > > Thanks > Nipun > > On Tue, Jan 31, 2017 at 1:45 PM Shixiong(Ryan) Zhu < > shixi...@databricks.com> wrote: > >> Could you provide your Spark version please? >> >> On Tue, Jan 31, 2017 at 10:37 AM, Nipun Arora <nipunarora2...@gmail.com> >> wrote: >> >> Hi, >> >> I get a resource leak, where the number of file descriptors in spark >> streaming keeps increasing. We end up with a "too many file open" error >> eventually through an exception caused in: >> >> JAVARDDKafkaWriter, which is writing a spark JavaDStream<String> >> >> The exception is attached inline. Any help will be greatly appreciated. >> >> Thanks >> Nipun >> >> ------------------------------------------- >> Time: 1485762530000 ms >> ------------------------------------------- >> >> Exception in thread "main" org.apache.spark.SparkException: Job aborted >> due to stage failure: Task 0 in stage 85968.0 failed 1 times, most recent >> failure: Lost task 0.0 in stage 85968.0 (TID 29562, localhost): >> java.io.FileNotFoundException: /tmp/blockmgr-1b3ddc44-f9a4- >> 42cd-977c-532cb962d7d3/3e/shuffle_10625_0_0.data.4651a131-6072-460b-b150-2b3080902084 >> (too many open files) >> at java.io.FileOutputStream.open(Native Method) >> at java.io.FileOutputStream.<init>(FileOutputStream.java:221) >> at org.apache.spark.storage.DiskBlockObjectWriter.open( >> DiskBlockObjectWriter.scala:88) >> at org.apache.spark.storage.DiskBlockObjectWriter.write( >> DiskBlockObjectWriter.scala:181) >> at org.apache.spark.util.collection.WritablePartitionedPairCollect >> ion$$anon$1.writeNext(WritablePartitionedPairCollection.scala:56) >> at org.apache.spark.util.collection.ExternalSorter.writePartitionedFile( >> ExternalSorter.scala:659) >> at org.apache.spark.shuffle.sort.SortShuffleWriter.write( >> SortShuffleWriter.scala:72) >> at org.apache.spark.scheduler.ShuffleMapTask.runTask( >> ShuffleMapTask.scala:73) >> at org.apache.spark.scheduler.ShuffleMapTask.runTask( >> ShuffleMapTask.scala:41) >> at org.apache.spark.scheduler.Task.run(Task.scala:89) >> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214) >> at java.util.concurrent.ThreadPoolExecutor.runWorker( >> ThreadPoolExecutor.java:1145) >> at java.util.concurrent.ThreadPoolExecutor$Worker.run( >> ThreadPoolExecutor.java:615) >> at java.lang.Thread.run(Thread.java:745) >> >> Driver stacktrace: >> at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$ >> scheduler$DAGScheduler$$failJobAndIndependentStages( >> DAGScheduler.scala:1431) >> at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply( >> DAGScheduler.scala:1419) >> at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply( >> DAGScheduler.scala:1418) >> at scala.collection.mutable.ResizableArray$class.foreach( >> ResizableArray.scala:59) >> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) >> at org.apache.spark.scheduler.DAGScheduler.abortStage( >> DAGScheduler.scala:1418) >> at org.apache.spark.scheduler.DAGScheduler$$anonfun$ >> handleTaskSetFailed$1.apply(DAGScheduler.scala:799) >> at org.apache.spark.scheduler.DAGScheduler$$anonfun$ >> handleTaskSetFailed$1.apply(DAGScheduler.scala:799) >> at scala.Option.foreach(Option.scala:236) >> at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed( >> DAGScheduler.scala:799) >> at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop. >> doOnReceive(DAGScheduler.scala:1640) >> at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop. >> onReceive(DAGScheduler.scala:1599) >> at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop. >> onReceive(DAGScheduler.scala:1588) >> at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48) >> at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:620) >> at org.apache.spark.SparkContext.runJob(SparkContext.scala:1857) >> at org.apache.spark.SparkContext.runJob(SparkContext.scala:1870) >> at org.apache.spark.SparkContext.runJob(SparkContext.scala:1883) >> at org.apache.spark.SparkContext.runJob(SparkContext.scala:1954) >> at org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1. >> apply(RDD.scala:920) >> at org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1. >> apply(RDD.scala:918) >> at org.apache.spark.rdd.RDDOperationScope$.withScope( >> RDDOperationScope.scala:150) >> at org.apache.spark.rdd.RDDOperationScope$.withScope( >> RDDOperationScope.scala:111) >> at org.apache.spark.rdd.RDD.withScope(RDD.scala:316) >> at org.apache.spark.rdd.RDD.foreachPartition(RDD.scala:918) >> at org.apache.spark.api.java.JavaRDDLike$class. >> foreachPartition(JavaRDDLike.scala:225) >> at org.apache.spark.api.java.AbstractJavaRDDLike. >> foreachPartition(JavaRDDLike.scala:46) >> at org.necla.ngla.kafka.JavaRDDStringKafkaWriter.call( >> JavaRDDStringKafkaWriter.java:25) >> at org.necla.ngla.kafka.JavaRDDStringKafkaWriter.call( >> JavaRDDStringKafkaWriter.java:10) >> at org.apache.spark.streaming.api.java.JavaDStreamLike$$ >> anonfun$foreachRDD$3.apply(JavaDStreamLike.scala:335) >> at org.apache.spark.streaming.api.java.JavaDStreamLike$$ >> anonfun$foreachRDD$3.apply(JavaDStreamLike.scala:335) >> at org.apache.spark.streaming.dstream.DStream$$anonfun$ >> foreachRDD$1$$anonfun$apply$mcV$sp$3.apply(DStream.scala:661) >> at org.apache.spark.streaming.dstream.DStream$$anonfun$ >> foreachRDD$1$$anonfun$apply$mcV$sp$3.apply(DStream.scala:661) >> at org.apache.spark.streaming.dstream.ForEachDStream$$ >> anonfun$1$$anonfun$apply$mcV$sp$1.apply$mcV$sp(ForEachDStream.scala:50) >> at org.apache.spark.streaming.dstream.ForEachDStream$$ >> anonfun$1$$anonfun$apply$mcV$sp$1.apply(ForEachDStream.scala:50) >> at org.apache.spark.streaming.dstream.ForEachDStream$$ >> anonfun$1$$anonfun$apply$mcV$sp$1.apply(ForEachDStream.scala:50) >> at org.apache.spark.streaming.dstream.DStream. >> createRDDWithLocalProperties(DStream.scala:426) >> at org.apache.spark.streaming.dstream.ForEachDStream$$ >> anonfun$1.apply$mcV$sp(ForEachDStream.scala:49) >> at org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1.apply( >> ForEachDStream.scala:49) >> at org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1.apply( >> ForEachDStream.scala:49) >> at scala.util.Try$.apply(Try.scala:161) >> at org.apache.spark.streaming.scheduler.Job.run(Job.scala:39) >> at org.apache.spark.streaming.scheduler.JobScheduler$ >> JobHandler$$anonfun$run$1.apply$mcV$sp(JobScheduler.scala:229) >> at org.apache.spark.streaming.scheduler.JobScheduler$ >> JobHandler$$anonfun$run$1.apply(JobScheduler.scala:229) >> at org.apache.spark.streaming.scheduler.JobScheduler$ >> JobHandler$$anonfun$run$1.apply(JobScheduler.scala:229) >> at scala.util.DynamicVariable.withValue(DynamicVariable.scala:57) >> at org.apache.spark.streaming.scheduler.JobScheduler$ >> JobHandler.run(JobScheduler.scala:228) >> at java.util.concurrent.ThreadPoolExecutor.runWorker( >> ThreadPoolExecutor.java:1145) >> at java.util.concurrent.ThreadPoolExecutor$Worker.run( >> ThreadPoolExecutor.java:615) >> at java.lang.Thread.run(Thread.java:745) >> Caused by: java.io.FileNotFoundException: /tmp/blockmgr-1b3ddc44-f9a4- >> 42cd-977c-532cb962d7d3/3e/shuffle_10625_0_0.data.4651a131-6072-460b-b150-2b3080902084 >> (too many open files) >> at java.io.FileOutputStream.open(Native Method) >> at java.io.FileOutputStream.<init>(FileOutputStream.java:221) >> at org.apache.spark.storage.DiskBlockObjectWriter.open( >> DiskBlockObjectWriter.scala:88) >> at org.apache.spark.storage.DiskBlockObjectWriter.write( >> DiskBlockObjectWriter.scala:181) >> at org.apache.spark.util.collection.WritablePartitionedPairCollect >> ion$$anon$1.writeNext(WritablePartitionedPairCollection.scala:56) >> at org.apache.spark.util.collection.ExternalSorter.writePartitionedFile( >> ExternalSorter.scala:659) >> at org.apache.spark.shuffle.sort.SortShuffleWriter.write( >> SortShuffleWriter.scala:72) >> at org.apache.spark.scheduler.ShuffleMapTask.runTask( >> ShuffleMapTask.scala:73) >> at org.apache.spark.scheduler.ShuffleMapTask.runTask( >> ShuffleMapTask.scala:41) >> at org.apache.spark.scheduler.Task.run(Task.scala:89) >> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214) >> ... 3 more >> >> >>
