You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "luzengxiang (JIRA)" <ji...@apache.org> on 2019/02/15 07:38:00 UTC
[jira] [Updated] (SPARK-26886) Proper termination of external
processes launched by the worker
[ https://issues.apache.org/jira/browse/SPARK-26886?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
luzengxiang updated SPARK-26886:
--------------------------------
Description:
When Embedding Deeplearning Framework in spark, spark worker has to launch external process(eg. MPI task) in some cases.
val nothing = inputData.barrier().mapPartitions{ _ =>
val barrierTask = BarrierTaskContext.get()
//save data to disk
barrierTask.barrier()
//launch external process, eg MPI Task + TensorFlow
}
This Jira is talk about properly terminating external processes launched by spark worker, when spark task is killed or interrupt.
was:
When Embedding Deeplearning Framework in spark, spark worker has to launch external process(eg. MPI task) in some cases.
{quote}
val nothing = inputData.barrier().mapPartitions{ _ =>
val barrierTask = BarrierTaskContext.get()
//save data to disk
barrierTask.barrier()
//launch external process, eg MPI Task + TensorFlow
}
{quote}
This Jira is talk about properly terminating external processes launched by spark worker, when spark task is killed or interrupt.
> Proper termination of external processes launched by the worker
> ---------------------------------------------------------------
>
> Key: SPARK-26886
> URL: https://issues.apache.org/jira/browse/SPARK-26886
> Project: Spark
> Issue Type: New JIRA Project
> Components: Spark Core
> Affects Versions: 2.4.0
> Reporter: luzengxiang
> Priority: Minor
>
> When Embedding Deeplearning Framework in spark, spark worker has to launch external process(eg. MPI task) in some cases.
> val nothing = inputData.barrier().mapPartitions{ _ =>
> val barrierTask = BarrierTaskContext.get()
> //save data to disk
> barrierTask.barrier()
> //launch external process, eg MPI Task + TensorFlow
> }
> This Jira is talk about properly terminating external processes launched by spark worker, when spark task is killed or interrupt.
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org