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https://issues.apache.org/jira/browse/SPARK-26886?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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luzengxiang updated SPARK-26886:
--------------------------------
Description:
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()
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.
was:
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.
> 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.
> {quote} val nothing = inputData.barrier().mapPartitions
> {_ =>
> val barrierTask = BarrierTaskContext.get()
> // save data to disk barrierTask.barrier()
> 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.
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