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https://issues.apache.org/jira/browse/SPARK-6804?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-6804.
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Resolution: Duplicate
> System.exit(1) on error
> -----------------------
>
> Key: SPARK-6804
> URL: https://issues.apache.org/jira/browse/SPARK-6804
> Project: Spark
> Issue Type: Improvement
> Reporter: Alberto
>
> We are developing a web application that is using Spark under the hood.
> Testing our app we have found out that when our spark master is not up and
> running and we try to connect with it, Spark is killing our app.
> We've been having a look at the code and we have noticed that the
> TaskSchedulerImpl class is just killing the JVM and our web application is
> obviously also killed. See following the code snippet I am talking about:
> {code}
> else {
> // No task sets are active but we still got an error. Just exit since
> this
> // must mean the error is during registration.
> // It might be good to do something smarter here in the future.
> logError("Exiting due to error from cluster scheduler: " + message)
> System.exit(1)
> }
> {code}
> IMHO this guy should not invoke System.exit(1). Instead, it should throw an
> exception so the applications will be able to handle the error.
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