Jochen Hebbrecht created SPARK-29276:
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Summary: Spark job fails because of timeout to Driver
Key: SPARK-29276
URL: https://issues.apache.org/jira/browse/SPARK-29276
Project: Spark
Issue Type: Question
Components: Spark Core
Affects Versions: 2.4.2
Reporter: Jochen Hebbrecht
Hi,
I'm using Spark 2.4.2 on AWS EMR 5.24.0. I'm trying to send a Spark job towards
the cluster. Thhe job gets accepted, but the YARN application fails with:
{code}
19/09/27 14:33:35 ERROR ApplicationMaster: Uncaught exception:
java.util.concurrent.TimeoutException: Futures timed out after [100000
milliseconds]
at scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:223)
at
scala.concurrent.impl.Promise$DefaultPromise.result(Promise.scala:227)
at org.apache.spark.util.ThreadUtils$.awaitResult(ThreadUtils.scala:220)
at
org.apache.spark.deploy.yarn.ApplicationMaster.runDriver(ApplicationMaster.scala:468)
at
org.apache.spark.deploy.yarn.ApplicationMaster.org$apache$spark$deploy$yarn$ApplicationMaster$$runImpl(ApplicationMaster.scala:305)
at
org.apache.spark.deploy.yarn.ApplicationMaster$$anonfun$run$1.apply$mcV$sp(ApplicationMaster.scala:245)
at
org.apache.spark.deploy.yarn.ApplicationMaster$$anonfun$run$1.apply(ApplicationMaster.scala:245)
at
org.apache.spark.deploy.yarn.ApplicationMaster$$anonfun$run$1.apply(ApplicationMaster.scala:245)
at
org.apache.spark.deploy.yarn.ApplicationMaster$$anon$3.run(ApplicationMaster.scala:779)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at
org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1844)
at
org.apache.spark.deploy.yarn.ApplicationMaster.doAsUser(ApplicationMaster.scala:778)
at
org.apache.spark.deploy.yarn.ApplicationMaster.run(ApplicationMaster.scala:244)
at
org.apache.spark.deploy.yarn.ApplicationMaster$.main(ApplicationMaster.scala:803)
at
org.apache.spark.deploy.yarn.ApplicationMaster.main(ApplicationMaster.scala)
19/09/27 14:33:35 INFO ApplicationMaster: Final app status: FAILED, exitCode:
13, (reason: Uncaught exception: java.util.concurrent.TimeoutException: Futures
timed out after [100000 milliseconds]
at scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:223)
at
scala.concurrent.impl.Promise$DefaultPromise.result(Promise.scala:227)
at org.apache.spark.util.ThreadUtils$.awaitResult(ThreadUtils.scala:220)
at
org.apache.spark.deploy.yarn.ApplicationMaster.runDriver(ApplicationMaster.scala:468)
at
org.apache.spark.deploy.yarn.ApplicationMaster.org$apache$spark$deploy$yarn$ApplicationMaster$$runImpl(ApplicationMaster.scala:305)
at
org.apache.spark.deploy.yarn.ApplicationMaster$$anonfun$run$1.apply$mcV$sp(ApplicationMaster.scala:245)
at
org.apache.spark.deploy.yarn.ApplicationMaster$$anonfun$run$1.apply(ApplicationMaster.scala:245)
at
org.apache.spark.deploy.yarn.ApplicationMaster$$anonfun$run$1.apply(ApplicationMaster.scala:245)
at
org.apache.spark.deploy.yarn.ApplicationMaster$$anon$3.run(ApplicationMaster.scala:779)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at
org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1844)
at
org.apache.spark.deploy.yarn.ApplicationMaster.doAsUser(ApplicationMaster.scala:778)
at
org.apache.spark.deploy.yarn.ApplicationMaster.run(ApplicationMaster.scala:244)
at
org.apache.spark.deploy.yarn.ApplicationMaster$.main(ApplicationMaster.scala:803)
at
org.apache.spark.deploy.yarn.ApplicationMaster.main(ApplicationMaster.scala)
{code}
It actually goes wrong at this line:
https://github.com/apache/spark/blob/v2.4.2/resource-managers/yarn/src/main/scala/org/apache/spark/deploy/yarn/ApplicationMaster.scala#L468
Now, I'm 100% sure Spark is OK and there's no bug, but there must be something
wrong with my setup. I don't understand the code of the ApplicationMaster, so
could somebody explain me what it is trying to reach? Where exactly does the
connection timeout? So at least I can debug it further because I don't have a
clue what it is doing :-)
Thanks for any help!
Jochen
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