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https://issues.apache.org/jira/browse/SPARK-10444?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon updated SPARK-10444:
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Labels: bulk-closed refactoring (was: refactoring)
> Remove duplication in Mesos schedulers
> --------------------------------------
>
> Key: SPARK-10444
> URL: https://issues.apache.org/jira/browse/SPARK-10444
> Project: Spark
> Issue Type: Bug
> Components: Mesos
> Affects Versions: 1.5.0
> Reporter: Iulian Dragos
> Priority: Major
> Labels: bulk-closed, refactoring
>
> Currently coarse-grained and fine-grained Mesos schedulers don't share much
> code, and that leads to inconsistencies. For instance:
> - only coarse-grained mode respects {{spark.cores.max}}, see SPARK-9873
> - only coarse-grained mode blacklists slaves that fail repeatedly, but that
> seams like generally useful
> - constraints and memory checking are done on both sides (code is shared
> though)
> - framework re-registration (master election) is only done for cluster-mode
> deployment
> We should find a better design that groups together common concerns and
> generally improves the code.
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