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From Jochen Hebbrecht <jochenhebbre...@gmail.com>
Subject Re: Spark job fails because of timeout to Driver
Date Fri, 04 Oct 2019 15:16:12 GMT
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.johann@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 <jochenhebbrecht@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 <zjffdu@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 <jochenhebbrecht@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.johann@phenetic.io
> Web: phenetic.io
>
> Handelsregister: Amtsgericht Köln (HRB 92595)
> Geschäftsführer: Roland Johann, Uwe Reimann
>

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