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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2019/03/01 10:50:00 UTC
[jira] [Assigned] (SPARK-26872) Use a configurable value for final
termination in the JobScheduler.stop() method
[ https://issues.apache.org/jira/browse/SPARK-26872?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-26872:
------------------------------------
Assignee: Apache Spark
> Use a configurable value for final termination in the JobScheduler.stop() method
> --------------------------------------------------------------------------------
>
> Key: SPARK-26872
> URL: https://issues.apache.org/jira/browse/SPARK-26872
> Project: Spark
> Issue Type: Improvement
> Components: Scheduler
> Affects Versions: 2.4.0
> Reporter: Steven Rosenberry
> Assignee: Apache Spark
> Priority: Minor
>
> As a user of Spark, I would like to configure the timeout that controls final termination after stopping the streaming context and while processing previously queued jobs. Currently, there is a hard-coded limit of one hour around line 129 in the JobScheduler.stop() method:
> {code:java}
> // Wait for the queued jobs to complete if indicated
> val terminated = if (processAllReceivedData) {
> jobExecutor.awaitTermination(1, TimeUnit.HOURS) // just a very large period of time
> } else {
> jobExecutor.awaitTermination(2, TimeUnit.SECONDS)
> }
> {code}
> It would provide additional functionality to the Spark platform if this value was configurable. My use case may take many hours to finish the queued job as it was created from a large data file.
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