[
https://issues.apache.org/jira/browse/SPARK-3029?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Reynold Xin resolved SPARK-3029.
--------------------------------
Resolution: Fixed
Fix Version/s: 1.1.0
> Disable local execution of Spark jobs by default
> ------------------------------------------------
>
> Key: SPARK-3029
> URL: https://issues.apache.org/jira/browse/SPARK-3029
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core
> Reporter: Aaron Davidson
> Assignee: Aaron Davidson
> Priority: Blocker
> Fix For: 1.1.0
>
>
> Currently, local execution of Spark jobs is only used by take(), and it can
> be problematic as it can load a significant amount of data onto the driver.
> The worst case scenarios occur if the RDD is cached (guaranteed to load whole
> partition), has very large elements, or the partition is just large and we
> apply a filter with high selectivity or computational overhead.
> Additionally, jobs that run locally in this manner do not show up in the web
> UI, and are thus harder to track or understand what is occurring.
--
This message was sent by Atlassian JIRA
(v6.2#6252)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
