Hi Roland, We have indeed custom security groups. Can you tell me where exactly I need to be able to access what? For example, is it from the master instance to the driver instance? And which port should be open?
Jochen Op vr 4 okt. 2019 om 17:14 schreef Roland Johann <roland.joh...@phenetic.io >: > Ho Jochen, > > did you setup the EMR cluster with custom security groups? Can you confirm > that the relevant EC2 instances can connect through relevant ports? > > Best regards > > Jochen Hebbrecht <jochenhebbre...@gmail.com> schrieb am Fr. 4. Okt. 2019 > um 17:09: > >> Hi Jeff, >> >> Thanks! Just tried that, but the same timeout occurs :-( ... >> >> Jochen >> >> Op vr 4 okt. 2019 om 16:37 schreef Jeff Zhang <zjf...@gmail.com>: >> >>> You can try to increase property spark.yarn.am.waitTime (by default it >>> is 100s) >>> Maybe you are doing some very time consuming operation when initializing >>> SparkContext, which cause timeout. >>> >>> See this property here >>> http://spark.apache.org/docs/latest/running-on-yarn.html >>> >>> >>> Jochen Hebbrecht <jochenhebbre...@gmail.com> 于2019年10月4日周五 下午10:08写道： >>> >>>> 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 >>>> >>> >>> >>> -- >>> Best Regards >>> >>> Jeff Zhang >>> >> -- > > > *Roland Johann*Software Developer/Data Engineer > > *phenetic GmbH* > Lütticher Straße 10, 50674 Köln, Germany > > Mobil: +49 172 365 26 46 > Mail: roland.joh...@phenetic.io > Web: phenetic.io > > Handelsregister: Amtsgericht Köln (HRB 92595) > Geschäftsführer: Roland Johann, Uwe Reimann >
