I have had Spark job failing with a trace like this one:
./containers/application_1455622885057_0016/container_1455622885057_0016_01_000001/stderr-Container id: container_1455622885057_0016_01_000008
./containers/application_1455622885057_0016/container_1455622885057_0016_01_000001/stderr-Exit code: 52
./containers/application_1455622885057_0016/container_1455622885057_0016_01_000001/stderr:Stack trace: ExitCodeException exitCode=52:
./containers/application_1455622885057_0016/container_1455622885057_0016_01_000001/stderr- at org.apache.hadoop.util.Shell.runCommand(Shell.java:545)
./containers/application_1455622885057_0016/container_1455622885057_0016_01_000001/stderr- at org.apache.hadoop.util.Shell.run(Shell.java:456)
./containers/application_1455622885057_0016/container_1455622885057_0016_01_000001/stderr- at org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:722)
./containers/application_1455622885057_0016/container_1455622885057_0016_01_000001/stderr- at org.apache.hadoop.yarn.server.nodemanager.DefaultContainerExecutor.launchContainer(DefaultContainerExecutor.java:211)
./containers/application_1455622885057_0016/container_1455622885057_0016_01_000001/stderr- at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:302)
./containers/application_1455622885057_0016/container_1455622885057_0016_01_000001/stderr- at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:82)
./containers/application_1455622885057_0016/container_1455622885057_0016_01_000001/stderr- at java.util.concurrent.FutureTask.run(FutureTask.java:262)
./containers/application_1455622885057_0016/container_1455622885057_0016_01_000001/stderr- at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
./containers/application_1455622885057_0016/container_1455622885057_0016_01_000001/stderr- at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
./containers/application_1455622885057_0016/container_1455622885057_0016_01_000001/stderr- at java.lang.Thread.run(Thread.java:745)
./containers/application_1455622885057_0016/container_1455622885057_0016_01_000001/stderr-
./containers/application_1455622885057_0016/container_1455622885057_0016_01_000001/stderr-
./containers/application_1455622885057_0016/container_1455622885057_0016_01_000001/stderr-Container exited with a non-zero exit code 52
It took me a while to figure out what "exit code 52" means, so I'm putting this up here for the benefit of others who might be searching
The exit code 52 comes from org.apache.spark.util.SparkExitCode, and it is val OOM=52 - i.e. an OutOfMemoryError. Which makes sense since I also find this in the container logs:
16/02/16 17:09:59 ERROR executor.Executor: Managed memory leak detected; size = 4823704883 bytes, TID = 3226
16/02/16 17:09:59 ERROR executor.Executor: Exception in task 26.0 in stage 2.0 (TID 3226)
java.lang.OutOfMemoryError: Unable to acquire 1248 bytes of memory, got 0
at org.apache.spark.memory.MemoryConsumer.allocatePage(MemoryConsumer.java:120)
at org.apache.spark.shuffle.sort.ShuffleExternalSorter.acquireNewPageIfNecessary(ShuffleExternalSorter.java:354)
at org.apache.spark.shuffle.sort.ShuffleExternalSorter.insertRecord(ShuffleExternalSorter.java:375)
at org.apache.spark.shuffle.sort.UnsafeShuffleWriter.insertRecordIntoSorter(UnsafeShuffleWriter.java:237)
at org.apache.spark.shuffle.sort.UnsafeShuffleWriter.write(UnsafeShuffleWriter.java:164)
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$TaskRunner.run(Executor.scala:213)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
(note that I'm not really sure at this point if the problem is in my code or due to the Tungsten memory leaks, but that's a different issue)
Related
While using spark , I am writing the datframe to table in HDFS . I am using insert statement in spark sql to write the data into table . But getting below error:
User class threw exception: org.apache.spark.SparkException: Job aborted due to stage failure: Task 144 in stage 27.1 failed 4 times, most recent failure: Lost task 144.3 in stage 27.1 (TID 181665, cdts04hdfc06p.rxcorp.com, executor 506): org.apache.hadoop.hive.ql.metadata.HiveException: org.apache.hadoop.ipc.RemoteException(org.apache.hadoop.hdfs.protocol.AlreadyBeingCreatedException): Failed to create file [/user/hive/warehouse/prod_df2_lad_batch.db/ss_lad_pat_seq/.hive-staging_hive_2019-09-16_22-27-56_435_7609238235778059432-1/-ext-10000/_temporary/0/_temporary/attempt_201909162227_0027_m_000344_3/week_id=20190830/part-00344] for [DFSClient_attempt_201909162227_0027_m_001541_1_-1711340928_161] for client [10.75.128.110], because this file is already being created by [DFSClient_NONMAPREDUCE_-2112517704_159] on [10.75.128.141]
at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.recoverLeaseInternal(FSNamesystem.java:3344)
at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.startFileInternal(FSNamesystem.java:3002)
at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.startFileInt(FSNamesystem.java:2890)
at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.startFile(FSNamesystem.java:2774)
at org.apache.hadoop.hdfs.server.namenode.NameNodeRpcServer.create(NameNodeRpcServer.java:610)
at org.apache.hadoop.hdfs.server.namenode.AuthorizationProviderProxyClientProtocol.create(AuthorizationProviderProxyClientProtocol.java:117)
at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolServerSideTranslatorPB.create(ClientNamenodeProtocolServerSideTranslatorPB.java:413)
at org.apache.hadoop.hdfs.protocol.proto.ClientNamenodeProtocolProtos$ClientNamenodeProtocol$2.callBlockingMethod(ClientNamenodeProtocolProtos.java)
at org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:617)
at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:1073)
at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2281)
at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2277)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1924)
at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2275)
at org.apache.hadoop.hive.ql.io.HiveFileFormatUtils.getHiveRecordWriter(HiveFileFormatUtils.java:248)
at org.apache.spark.sql.hive.SparkHiveDynamicPartitionWriterContainer.org$apache$spark$sql$hive$SparkHiveDynamicPartitionWriterContainer$$newWriter$1(hiveWriterContainers.scala:240)
at org.apache.spark.sql.hive.SparkHiveDynamicPartitionWriterContainer$$anonfun$getLocalFileWriter$1.apply(hiveWriterContainers.scala:249)
at org.apache.spark.sql.hive.SparkHiveDynamicPartitionWriterContainer$$anonfun$getLocalFileWriter$1.apply(hiveWriterContainers.scala:249)
at scala.collection.mutable.MapLike$class.getOrElseUpdate(MapLike.scala:189)
at scala.collection.mutable.AbstractMap.getOrElseUpdate(Map.scala:91)
at org.apache.spark.sql.hive.SparkHiveDynamicPartitionWriterContainer.getLocalFileWriter(hiveWriterContainers.scala:249)
at org.apache.spark.sql.hive.execution.InsertIntoHiveTable$$anonfun$org$apache$spark$sql$hive$execution$InsertIntoHiveTable$$writeToFile$1$1.apply(InsertIntoHiveTable.scala:178)
at org.apache.spark.sql.hive.execution.InsertIntoHiveTable$$anonfun$org$apache$spark$sql$hive$execution$InsertIntoHiveTable$$writeToFile$1$1.apply(InsertIntoHiveTable.scala:170)
at scala.collection.Iterator$class.foreach(Iterator.scala:727)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
at org.apache.spark.sql.hive.execution.InsertIntoHiveTable.org$apache$spark$sql$hive$execution$InsertIntoHiveTable$$writeToFile$1(InsertIntoHiveTable.scala:170)
at org.apache.spark.sql.hive.execution.InsertIntoHiveTable$$anonfun$saveAsHiveFile$3.apply(InsertIntoHiveTable.scala:150)
at org.apache.spark.sql.hive.execution.InsertIntoHiveTable$$anonfun$saveAsHiveFile$3.apply(InsertIntoHiveTable.scala:150)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
at org.apache.spark.scheduler.Task.run(Task.scala:89)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:242)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
I am using spring integration and i am getting below exception when the server keeps IDLE for sometime. I am not able to reproduce the below exception.
Caused by: javax.mail.FolderClosedException: * BYE JavaMail Exception: java.net.SocketException: Connection timed out
at com.sun.mail.imap.IMAPFolder.handleIdle(IMAPFolder.java:3199)
at com.sun.mail.imap.IMAPFolder.idle(IMAPFolder.java:3043)
at com.sun.mail.imap.IMAPFolder.idle(IMAPFolder.java:2995)
at org.springframework.integration.mail.ImapMailReceiver.waitForNewMessages(ImapMailReceiver.java:175)
at org.springframework.integration.mail.ImapIdleChannelAdapter$IdleTask.run(ImapIdleChannelAdapter.java:220)
... 10 common frames omitted
The below exeption is thrown from java mail 1.5
Please help me in reproducing this issue and fix for this issue. Thanks
The server will time out the connection if it's idle for too long. You need to poke the server every 20 - 30 minutes to keep the connection alive, e.g., using Folder.getMessageCount. (Of course, the connection can still break for all sorts of other reasons, so you have to be prepared to handle that in any case.)
It's just a warning log; the adapter will reconnect after this exception.
If you want to suppress the log message, reduce the log level for that category to ERROR.
EDIT
It will reconnect 10 seconds after the failure, unless you have changed reconnectDelay ...
#Test
public void testIdleReconnects() throws Exception {
ImapMailReceiver receiver = spy(new ImapMailReceiver("imap:foo"));
receiver.setBeanFactory(mock(BeanFactory.class));
receiver.afterPropertiesSet();
ImapIdleChannelAdapter adapter = new ImapIdleChannelAdapter(receiver);
Folder folder = mock(Folder.class);
willThrow(new FolderClosedException(folder, "test")).given(receiver).waitForNewMessages();
ThreadPoolTaskScheduler taskScheduler = new ThreadPoolTaskScheduler();
taskScheduler.initialize();
adapter.setTaskScheduler(taskScheduler);
adapter.afterPropertiesSet();
final CountDownLatch latch = new CountDownLatch(3); << exit test after 3
adapter.setApplicationEventPublisher(e -> {
latch.countDown();
});
adapter.start();
assertTrue(latch.await(60, TimeUnit.SECONDS));
}
If you are not seeing logs similar to these, you should edit your question with complete configuration and logs - you should also try setting the javamail property mail.debug to true to see the activity.
This is what the above test produces for me...
2017-02-26 12:59:43,977 [ThreadPoolTaskScheduler-1] DEBUG: ImapIdleChannelAdapter - waiting for mail
2017-02-26 12:59:43,982 [ThreadPoolTaskScheduler-1] WARN : ImapIdleChannelAdapter - error occurred in idle task
javax.mail.FolderClosedException: test
at org.springframework.integration.mail.ImapIdleChannelAdapter$IdleTask.run(ImapIdleChannelAdapter.java:277)
at org.springframework.integration.mail.ImapIdleChannelAdapter$ReceivingTask.run(ImapIdleChannelAdapter.java:243)
at org.springframework.scheduling.support.DelegatingErrorHandlingRunnable.run(DelegatingErrorHandlingRunnable.java:54)
at org.springframework.scheduling.concurrent.ReschedulingRunnable.run(ReschedulingRunnable.java:81)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$201(ScheduledThreadPoolExecutor.java:180)
at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:293)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
2017-02-26 12:59:43,984 [ThreadPoolTaskScheduler-1] WARN : ImapIdleChannelAdapter - Failed to execute IDLE task. Will attempt to resubmit in 10000 milliseconds.
java.lang.IllegalStateException: Failure in 'idle' task. Will resubmit.
at org.springframework.integration.mail.ImapIdleChannelAdapter$IdleTask.run(ImapIdleChannelAdapter.java:296)
at org.springframework.integration.mail.ImapIdleChannelAdapter$ReceivingTask.run(ImapIdleChannelAdapter.java:243)
at org.springframework.scheduling.support.DelegatingErrorHandlingRunnable.run(DelegatingErrorHandlingRunnable.java:54)
at org.springframework.scheduling.concurrent.ReschedulingRunnable.run(ReschedulingRunnable.java:81)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$201(ScheduledThreadPoolExecutor.java:180)
at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:293)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Caused by: javax.mail.FolderClosedException: test
at org.springframework.integration.mail.ImapIdleChannelAdapter$IdleTask.run(ImapIdleChannelAdapter.java:277)
... 10 more
2017-02-26 12:59:53,989 [ThreadPoolTaskScheduler-1] DEBUG: ImapIdleChannelAdapter - waiting for mail
2017-02-26 12:59:53,990 [ThreadPoolTaskScheduler-1] WARN : ImapIdleChannelAdapter - error occurred in idle task
javax.mail.FolderClosedException: test
at org.springframework.integration.mail.ImapIdleChannelAdapter$IdleTask.run(ImapIdleChannelAdapter.java:277)
at org.springframework.integration.mail.ImapIdleChannelAdapter$ReceivingTask.run(ImapIdleChannelAdapter.java:243)
at org.springframework.scheduling.support.DelegatingErrorHandlingRunnable.run(DelegatingErrorHandlingRunnable.java:54)
at org.springframework.scheduling.concurrent.ReschedulingRunnable.run(ReschedulingRunnable.java:81)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$201(ScheduledThreadPoolExecutor.java:180)
at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:293)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
2017-02-26 12:59:53,991 [ThreadPoolTaskScheduler-1] WARN : ImapIdleChannelAdapter - Failed to execute IDLE task. Will attempt to resubmit in 10000 milliseconds.
java.lang.IllegalStateException: Failure in 'idle' task. Will resubmit.
at org.springframework.integration.mail.ImapIdleChannelAdapter$IdleTask.run(ImapIdleChannelAdapter.java:296)
at org.springframework.integration.mail.ImapIdleChannelAdapter$ReceivingTask.run(ImapIdleChannelAdapter.java:243)
at org.springframework.scheduling.support.DelegatingErrorHandlingRunnable.run(DelegatingErrorHandlingRunnable.java:54)
at org.springframework.scheduling.concurrent.ReschedulingRunnable.run(ReschedulingRunnable.java:81)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$201(ScheduledThreadPoolExecutor.java:180)
at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:293)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Caused by: javax.mail.FolderClosedException: test
at org.springframework.integration.mail.ImapIdleChannelAdapter$IdleTask.run(ImapIdleChannelAdapter.java:277)
... 10 more
2017-02-26 13:00:03,997 [ThreadPoolTaskScheduler-1] DEBUG: ImapIdleChannelAdapter - waiting for mail
2017-02-26 13:00:03,997 [ThreadPoolTaskScheduler-1] WARN : ImapIdleChannelAdapter - error occurred in idle task
javax.mail.FolderClosedException: test
at org.springframework.integration.mail.ImapIdleChannelAdapter$IdleTask.run(ImapIdleChannelAdapter.java:277)
at org.springframework.integration.mail.ImapIdleChannelAdapter$ReceivingTask.run(ImapIdleChannelAdapter.java:243)
at org.springframework.scheduling.support.DelegatingErrorHandlingRunnable.run(DelegatingErrorHandlingRunnable.java:54)
at org.springframework.scheduling.concurrent.ReschedulingRunnable.run(ReschedulingRunnable.java:81)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$201(ScheduledThreadPoolExecutor.java:180)
at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:293)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
2017-02-26 13:00:03,998 [ThreadPoolTaskScheduler-1] WARN : ImapIdleChannelAdapter - Failed to execute IDLE task. Will attempt to resubmit in 10000 milliseconds.
java.lang.IllegalStateException: Failure in 'idle' task. Will resubmit.
at org.springframework.integration.mail.ImapIdleChannelAdapter$IdleTask.run(ImapIdleChannelAdapter.java:296)
at org.springframework.integration.mail.ImapIdleChannelAdapter$ReceivingTask.run(ImapIdleChannelAdapter.java:243)
at org.springframework.scheduling.support.DelegatingErrorHandlingRunnable.run(DelegatingErrorHandlingRunnable.java:54)
at org.springframework.scheduling.concurrent.ReschedulingRunnable.run(ReschedulingRunnable.java:81)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$201(ScheduledThreadPoolExecutor.java:180)
at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:293)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Caused by: javax.mail.FolderClosedException: test
at org.springframework.integration.mail.ImapIdleChannelAdapter$IdleTask.run(ImapIdleChannelAdapter.java:277)
... 10 more
As you can see, we attempt to reconnect every 10 seconds.
Something simple as writing partitioned text files fails.
dataDF.write.partitionBy("year", "month", "date").mode(SaveMode.Append).text("s3://data/test2/events/")
Exception -
16/07/06 02:15:05 ERROR datasources.DynamicPartitionWriterContainer: Aborting task.
java.io.IOException: File already exists:s3://path/1839dd1ed38a.gz
at com.amazon.ws.emr.hadoop.fs.s3n.S3NativeFileSystem.create(S3NativeFileSystem.java:614)
at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:913)
at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:894)
at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:791)
at com.amazon.ws.emr.hadoop.fs.EmrFileSystem.create(EmrFileSystem.java:177)
at org.apache.hadoop.mapreduce.lib.output.TextOutputFormat.getRecordWriter(TextOutputFormat.java:135)
at org.apache.spark.sql.execution.datasources.text.TextOutputWriter.<init>(DefaultSource.scala:156)
at org.apache.spark.sql.execution.datasources.text.TextRelation$$anon$1.newInstance(DefaultSource.scala:125)
at org.apache.spark.sql.execution.datasources.BaseWriterContainer.newOutputWriter(WriterContainer.scala:129)
at org.apache.spark.sql.execution.datasources.DynamicPartitionWriterContainer.newOutputWriter$1(WriterContainer.scala:424)
at org.apache.spark.sql.execution.datasources.DynamicPartitionWriterContainer.writeRows(WriterContainer.scala:356)
at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$run$1$$anonfun$apply$mcV$sp$3.apply(InsertIntoHadoopFsRelation.scala:150)
at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$run$1$$anonfun$apply$mcV$sp$3.apply(InsertIntoHadoopFsRelation.scala:150)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
at org.apache.spark.scheduler.Task.run(Task.scala:89)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
16/07/06 02:15:05 INFO output.DirectFileOutputCommitter: Nothing to clean up on abort since there are no temporary files written
16/07/06 02:15:05 ERROR datasources.DynamicPartitionWriterContainer: Task attempt attempt_201607060215_0004_m_001709_3 aborted.
16/07/06 02:15:05 ERROR executor.Executor: Exception in task 1709.3 in stage 4.0 (TID 12093)
org.apache.spark.SparkException: Task failed while writing rows.
at org.apache.spark.sql.execution.datasources.DynamicPartitionWriterContainer.writeRows(WriterContainer.scala:414)
at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$run$1$$anonfun$apply$mcV$sp$3.apply(InsertIntoHadoopFsRelation.scala:150)
at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$run$1$$anonfun$apply$mcV$sp$3.apply(InsertIntoHadoopFsRelation.scala:150)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
at org.apache.spark.scheduler.Task.run(Task.scala:89)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
Caused by: java.io.IOException: File already exists:s3://path/a984-1839dd1ed38a.gz
at com.amazon.ws.emr.hadoop.fs.s3n.S3NativeFileSystem.create(S3NativeFileSystem.java:614)
at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:913)
at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:894)
at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:791)
at com.amazon.ws.emr.hadoop.fs.EmrFileSystem.create(EmrFileSystem.java:177)
at org.apache.hadoop.mapreduce.lib.output.TextOutputFormat.getRecordWriter(TextOutputFormat.java:135)
at org.apache.spark.sql.execution.datasources.text.TextOutputWriter.<init>(DefaultSource.scala:156)
at org.apache.spark.sql.execution.datasources.text.TextRelation$$anon$1.newInstance(DefaultSource.scala:125)
at org.apache.spark.sql.execution.datasources.BaseWriterContainer.newOutputWriter(WriterContainer.scala:129)
at org.apache.spark.sql.execution.datasources.DynamicPartitionWriterContainer.newOutputWriter$1(WriterContainer.scala:424)
at org.apache.spark.sql.execution.datasources.DynamicPartitionWriterContainer.writeRows(WriterContainer.scala:356)
... 8 more
After lot of wasted man hours, answering my question with solution that worked for me, among other trouble shootings.
TLDR;
Set spark.speculation to false, as follow :
conf = new SparkConf().set(“spark.speculation“,”false”)
More details here and here.
I am running a spark-streaming job to stream data from HDFS.
The job fails frequently once or twice a day, showing multiple errors in the log files.
I want to know, when does the spark-streaming job Fails/Exits, after so and so conditions/ retries are performed?
Exception in yarn log :-
16/05/10 02:22:35 ERROR RetryingBlockFetcher: Exception while beginning fetch of 1 outstanding blocks (after 3 retries)
java.io.IOException: Failed to connect to spark-prod-02-w-8.c.orion-0010.internal/10.240.0.255:41259
at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:191)
at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:156)
at org.apache.spark.network.netty.NettyBlockTransferService$$anon$1.createAndStart(NettyBlockTransferService.scala:78)
at org.apache.spark.network.shuffle.RetryingBlockFetcher.fetchAllOutstanding(RetryingBlockFetcher.java:140)
at org.apache.spark.network.shuffle.RetryingBlockFetcher.access$200(RetryingBlockFetcher.java:43)
at org.apache.spark.network.shuffle.RetryingBlockFetcher$1.run(RetryingBlockFetcher.java:170)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:471)
at java.util.concurrent.FutureTask.run(FutureTask.java:262)
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.net.ConnectException: Connection refused: spark-prod-02-w-8.c.orion-0010.internal/10.240.0.255:41259
at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method)
at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:744)
at io.netty.channel.socket.nio.NioSocketChannel.doFinishConnect(NioSocketChannel.java:208)
at io.netty.channel.nio.AbstractNioChannel$AbstractNioUnsafe.finishConnect(AbstractNioChannel.java:287)
at io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:528)
at io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:468)
at io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:382)
at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:354)
at io.netty.util.concurrent.SingleThreadEventExecutor$2.run(SingleThreadEventExecutor.java:116)
16/05/10 02:22:35 ERROR Executor: Exception in task 1.1 in stage 105394.0 (TID 762765)
java.lang.Exception: Could not compute split, block input-0-1462846937000 not found
at org.apache.spark.rdd.BlockRDD.compute(BlockRDD.scala:51)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:68)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
at org.apache.spark.scheduler.Task.run(Task.scala:64)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:203)
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)
I made a spark job which queries on lucene startio index on cassandra, and does some processing on the loaded dataset.
When the dataset is huge, the job gives an error and I get the following stack trace,
Exception in thread "main" org.apache.spark.SparkException: Job aborted due to stage failure: Task 1 in stage 0.0 failed 4 times, most recent failure: Lost task 1.3 in stage 0.0 (TID 7, 10.41.55.57): java.io.IOException: org.apache.spark.SparkException: Failed to get broadcast_0_piece0 of broadcast_0
at org.apache.spark.util.Utils$.tryOrIOException(Utils.scala:1222)
at org.apache.spark.broadcast.TorrentBroadcast.readBroadcastBlock(TorrentBroadcast.scala:165)
at org.apache.spark.broadcast.TorrentBroadcast._value$lzycompute(TorrentBroadcast.scala:64)
at org.apache.spark.broadcast.TorrentBroadcast._value(TorrentBroadcast.scala:64)
at org.apache.spark.broadcast.TorrentBroadcast.getValue(TorrentBroadcast.scala:88)
at org.apache.spark.broadcast.Broadcast.value(Broadcast.scala:70)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:62)
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:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Caused by: org.apache.spark.SparkException: Failed to get broadcast_0_piece0 of broadcast_0
at org.apache.spark.broadcast.TorrentBroadcast$$anonfun$org$apache$spark$broadcast$TorrentBroadcast$$readBlocks$1$$anonfun$2.apply(TorrentBroadcast.scala:138)
at org.apache.spark.broadcast.TorrentBroadcast$$anonfun$org$apache$spark$broadcast$TorrentBroadcast$$readBlocks$1$$anonfun$2.apply(TorrentBroadcast.scala:138)
at scala.Option.getOrElse(Option.scala:120)
at org.apache.spark.broadcast.TorrentBroadcast$$anonfun$org$apache$spark$broadcast$TorrentBroadcast$$readBlocks$1.apply$mcVI$sp(TorrentBroadcast.scala:137)
at org.apache.spark.broadcast.TorrentBroadcast$$anonfun$org$apache$spark$broadcast$TorrentBroadcast$$readBlocks$1.apply(TorrentBroadcast.scala:120)
at org.apache.spark.broadcast.TorrentBroadcast$$anonfun$org$apache$spark$broadcast$TorrentBroadcast$$readBlocks$1.apply(TorrentBroadcast.scala:120)
at scala.collection.immutable.List.foreach(List.scala:318)
at org.apache.spark.broadcast.TorrentBroadcast.org$apache$spark$broadcast$TorrentBroadcast$$readBlocks(TorrentBroadcast.scala:120)
at org.apache.spark.broadcast.TorrentBroadcast$$anonfun$readBroadcastBlock$1.apply(TorrentBroadcast.scala:175)
at org.apache.spark.util.Utils$.tryOrIOException(Utils.scala:1219)
... 11 more
Driver stacktrace:
at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$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$$anon$1.run(EventLoop.scala:48)
at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:620)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1832)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1845)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1858)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1929)
at org.apache.spark.rdd.RDD$$anonfun$foreach$1.apply(RDD.scala:912)
at org.apache.spark.rdd.RDD$$anonfun$foreach$1.apply(RDD.scala:910)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:150)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:111)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:316)
at org.apache.spark.rdd.RDD.foreach(RDD.scala:910)
at org.apache.spark.api.java.JavaRDDLike$class.foreach(JavaRDDLike.scala:332)
at org.apache.spark.api.java.AbstractJavaRDDLike.foreach(JavaRDDLike.scala:46)
at myjob.SparkJob1.main(SparkJob1.java:126)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:731)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: java.io.IOException: org.apache.spark.SparkException: Failed to get broadcast_0_piece0 of broadcast_0
at org.apache.spark.util.Utils$.tryOrIOException(Utils.scala:1222)
at org.apache.spark.broadcast.TorrentBroadcast.readBroadcastBlock(TorrentBroadcast.scala:165)
at org.apache.spark.broadcast.TorrentBroadcast._value$lzycompute(TorrentBroadcast.scala:64)
at org.apache.spark.broadcast.TorrentBroadcast._value(TorrentBroadcast.scala:64)
at org.apache.spark.broadcast.TorrentBroadcast.getValue(TorrentBroadcast.scala:88)
at org.apache.spark.broadcast.Broadcast.value(Broadcast.scala:70)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:62)
at org.apache.spark.scheduler.Task.run(Task.scala:89)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Caused by: org.apache.spark.SparkException: Failed to get broadcast_0_piece0 of broadcast_0
at org.apache.spark.broadcast.TorrentBroadcast$$anonfun$org$apache$spark$broadcast$TorrentBroadcast$$readBlocks$1$$anonfun$2.apply(TorrentBroadcast.scala:138)
at org.apache.spark.broadcast.TorrentBroadcast$$anonfun$org$apache$spark$broadcast$TorrentBroadcast$$readBlocks$1$$anonfun$2.apply(TorrentBroadcast.scala:138)
at scala.Option.getOrElse(Option.scala:120)
at org.apache.spark.broadcast.TorrentBroadcast$$anonfun$org$apache$spark$broadcast$TorrentBroadcast$$readBlocks$1.apply$mcVI$sp(TorrentBroadcast.scala:137)
at org.apache.spark.broadcast.TorrentBroadcast$$anonfun$org$apache$spark$broadcast$TorrentBroadcast$$readBlocks$1.apply(TorrentBroadcast.scala:120)
at org.apache.spark.broadcast.TorrentBroadcast$$anonfun$org$apache$spark$broadcast$TorrentBroadcast$$readBlocks$1.apply(TorrentBroadcast.scala:120)
at scala.collection.immutable.List.foreach(List.scala:318)
at org.apache.spark.broadcast.TorrentBroadcast.org$apache$spark$broadcast$TorrentBroadcast$$readBlocks(TorrentBroadcast.scala:120)
at org.apache.spark.broadcast.TorrentBroadcast$$anonfun$readBroadcastBlock$1.apply(TorrentBroadcast.scala:175)
at org.apache.spark.util.Utils$.tryOrIOException(Utils.scala:1219)
... 11 more
No groupBy, collect or count executed. The job loads the data from cassandra table, followed by forEach to fire some delete and insert
Using spark-submit to run it.
No broadcast variables used. final variables used in transformations
instead.
standalone cluster mode spark used : spark-1.6.1-bin-hadoop2.6