I'm using apache spark 2.2.1, that running on Amazon EMR cluster. Sometimes jobs fail on 'Futures timed out':
java.util.concurrent.TimeoutException: Futures timed out after [100000 milliseconds]
at scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:219)
at scala.concurrent.impl.Promise$DefaultPromise.result(Promise.scala:223)
at org.apache.spark.util.ThreadUtils$.awaitResult(ThreadUtils.scala:201)
at org.apache.spark.deploy.yarn.ApplicationMaster.runDriver(ApplicationMaster.scala:401)
at org.apache.spark.deploy.yarn.ApplicationMaster.run(ApplicationMaster.scala:254)
at org.apache.spark.deploy.yarn.ApplicationMaster$$anonfun$main$1.apply$mcV$sp(ApplicationMaster.scala:764)
at org.apache.spark.deploy.SparkHadoopUtil$$anon$2.run(SparkHadoopUtil.scala:67)
at org.apache.spark.deploy.SparkHadoopUtil$$anon$2.run(SparkHadoopUtil.scala:66)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1836)
at org.apache.spark.deploy.SparkHadoopUtil.runAsSparkUser(SparkHadoopUtil.scala:66)
at org.apache.spark.deploy.yarn.ApplicationMaster$.main(ApplicationMaster.scala:762)
at org.apache.spark.deploy.yarn.ApplicationMaster.main(ApplicationMaster.scala)
I changed 2 params in spark-defaults.conf:
spark.sql.broadcastTimeout 1000
spark.network.timeout 10000000
but it didn't help.
Do you have any suggestions on how to handle this timeout?
broadcast
hencespark.sql.broadcastTimeout 1000
may not help. – jack