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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 03:59:21 UTC
[jira] [Updated] (SPARK-22382) Spark on mesos: doesn't support
public IP setup for agent and master.
[ https://issues.apache.org/jira/browse/SPARK-22382?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon updated SPARK-22382:
---------------------------------
Labels: bulk-closed (was: )
> Spark on mesos: doesn't support public IP setup for agent and master.
> ----------------------------------------------------------------------
>
> Key: SPARK-22382
> URL: https://issues.apache.org/jira/browse/SPARK-22382
> Project: Spark
> Issue Type: Question
> Components: Mesos
> Affects Versions: 2.1.0
> Reporter: DUC LIEM NGUYEN
> Priority: Major
> Labels: bulk-closed
>
> I've installed a system as followed:
> --mesos master private IP of 10.x.x.2 , Public 35.x.x.6
> --mesos slave private IP of 192.x.x.10, Public 111.x.x.2
> Now the master assigned the task successfully to the slave, however, the task failed. The error message is as followed:
> {color:#d04437}Exception in thread "main" 17/10/11 22:38:01 ERROR RpcOutboxMessage: Ask timeout before connecting successfully
> Caused by: org.apache.spark.rpc.RpcTimeoutException: Cannot receive any reply in 120 seconds. This timeout is controlled by spark.rpc.askTimeout
> {color}
> When I look at the environment page, the spark.driver.host points to the private IP address of the master 10.x.x.2 instead of it public IP address 35.x.x.6. I look at the Wireshark capture and indeed, there was failed TCP package to the master private IP address.
> Now if I set spark.driver.bindAddress from the master to its local IP address, spark.driver.host from the master to its public IP address, I get the following message.
> {color:#d04437}ERROR TaskSchedulerImpl: Lost executor 1 on myhostname.singnet.com.sg: Unable to create executor due to Cannot assign requested address.{color}
> From my understanding, the spark.driver.bindAddress set it for both master and slave, hence the slave get the said error. Now I'm really wondering how do I proper setup spark to work on this clustering over public IP?
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