[jira] [Updated] (SPARK-8302) Support heterogeneous cluster nodes on YARN

["Imran Rashid (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-8302?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Imran Rashid updated SPARK-8302:
--------------------------------
    Assignee: Marcelo Vanzin

> Support heterogeneous cluster nodes on YARN
> -------------------------------------------
>
>                 Key: SPARK-8302
>                 URL: https://issues.apache.org/jira/browse/SPARK-8302
>             Project: Spark
>          Issue Type: New Feature
>          Components: YARN
>    Affects Versions: 1.5.0
>            Reporter: Marcelo Vanzin
>            Assignee: Marcelo Vanzin
>             Fix For: 1.5.0
>
>
> Some of our customers install Hadoop on different paths across the cluster. When running a Spark app, this leads to a few complications because of how we try to reuse the rest of Hadoop.
> Since all configuration for a Spark-on-YARN application is local, the code does not have enough information about how to run things on the rest of the cluster in such cases.
> To illustrate: let's say that a node's configuration says that {{SPARK_DIST_CLASSPATH=/disk1/hadoop/lib/*}}. If I launch a Spark app from that machine, but there's a machine on the cluster where Hadoop is actually installed in {{/disk2/hadoop/lib}}, then any container launched on that node will fail.
> The problem does not exist (or is much less pronounced) on standalone and mesos since they require a local Spark installation and configuration.
> It would be nice if we could easily support this use case on YARN.



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