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https://issues.apache.org/jira/browse/SPARK-23464?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Marcelo Vanzin resolved SPARK-23464.
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Resolution: Duplicate
> MesosClusterScheduler double-escapes parameters to bash command
> ---------------------------------------------------------------
>
> Key: SPARK-23464
> URL: https://issues.apache.org/jira/browse/SPARK-23464
> Project: Spark
> Issue Type: Bug
> Components: Mesos
> Affects Versions: 2.2.0
> Environment: Spark 2.2.0 with Mesosphere patches (but the problem
> exists in main repo)
> DC/OS 1.9.5
> Reporter: Marcin Kurczych
> Priority: Major
>
> Parameters passed to driver launching command in Mesos container are escaped
> using _shellEscape_ function. In SPARK-18114 additional wrapping in double
> quotes has been introduced. This cancels out quoting done by _shellEscape_
> and makes in unable to run tasks with whitespaces in parameters, as they are
> interpreted as additional parameters to in-container spark-submit.
> This is how parameter passed to in-container spark-submit looks like now:
> {code:java}
> --conf "spark.executor.extraJavaOptions="-Dfoo=\"first value\" -Dbar=another""
> {code}
> This is how they look after reverting SPARK-18114 related commit:
> {code:java}
> --conf spark.executor.extraJavaOptions="-Dfoo=\"first value\" -Dbar=another"
> {code}
> In current version submitting job with such extraJavaOptions causes following
> error:
> {code:java}
> Error: Unrecognized option: -Dbar=another
> Usage: spark-submit [options] <app jar | python file> [app arguments]
> Usage: spark-submit --kill [submission ID] --master [spark://...]
> Usage: spark-submit --status [submission ID] --master [spark://...]
> Usage: spark-submit run-example [options] example-class [example args]
> Options:
> --master MASTER_URL spark://host:port, mesos://host:port, yarn, or
> local.
> --deploy-mode DEPLOY_MODE Whether to launch the driver program locally
> ("client") or
> on one of the worker machines inside the
> cluster ("cluster")
> (Default: client).
> (... further spark-submit help ...)
> {code}
> Reverting SPARK-18114 is the solution to the issue. I can create a
> pull-request in GitHub. I thought about adding unit tests for that, buth
> methods generating driver launch command are private.
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