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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2019/02/10 15:20:00 UTC
[jira] [Assigned] (SPARK-17454) Use Mesos disk resources
[ https://issues.apache.org/jira/browse/SPARK-17454?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-17454:
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Assignee: Apache Spark
> Use Mesos disk resources
> ------------------------
>
> Key: SPARK-17454
> URL: https://issues.apache.org/jira/browse/SPARK-17454
> Project: Spark
> Issue Type: Improvement
> Components: Mesos
> Affects Versions: 2.0.0
> Reporter: Chris Bannister
> Assignee: Apache Spark
> Priority: Major
>
> Currently the driver will accept offers from Mesos which have enough ram for the executor and until its max cores is reached. There is no way to control the required CPU's or disk for each executor, it would be very useful to be able to apply something similar to spark.mesos.constraints to resource offers instead of attributes on the offer.
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