I am reading millions of xml files via val xmls = sc.binaryFiles(xmlDir)
The operation runs fine locally but on yarn it fails with: client token: N/A diagnostics: Application application_1433491939773_0012 failed 2 times due to ApplicationMaster for attempt appattempt_1433491939773_0012_000002 timed out. Failing the application. ApplicationMaster host: N/A ApplicationMaster RPC port: -1 queue: default start time: 1433750951883 final status: FAILED tracking URL: http://controller01:8088/cluster/app/application_1433491939773_0012 user: ariskk Exception in thread "main" org.apache.spark.SparkException: Application finished with failed status at org.apache.spark.deploy.yarn.Client.run(Client.scala:622) at org.apache.spark.deploy.yarn.Client$.main(Client.scala:647) at org.apache.spark.deploy.yarn.Client.main(Client.scala) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:497) at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:569) at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:166) at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:189) at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:110) at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala) On hadoops/userlogs logs I am frequently getting these messages: 15/06/08 09:15:38 WARN util.AkkaUtils: Error sending message [message = Heartbeat(1,[Lscala.Tuple2;@2b4f336b,BlockManagerId(1, controller01.stratified, 58510))] in 2 attempts java.util.concurrent.TimeoutException: Futures timed out after [30 seconds] at scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:219) at scala.concurrent.impl.Promise$DefaultPromise.result(Promise.scala:223) at scala.concurrent.Await$$anonfun$result$1.apply(package.scala:107) at scala.concurrent.BlockContext$DefaultBlockContext$.blockOn(BlockContext.scala:53) at scala.concurrent.Await$.result(package.scala:107) at org.apache.spark.util.AkkaUtils$.askWithReply(AkkaUtils.scala:195) at org.apache.spark.executor.Executor$$anon$1.run(Executor.scala:427) I run my spark job via spark-submit and it works for an other HDFS directory that contains only 37k files. Any ideas how to resolve this? -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/spark-timesout-maybe-due-to-binaryFiles-with-more-than-1-million-files-in-HDFS-tp23208.html Sent from the Apache Spark User List mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
