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Posted to issues@spark.apache.org by "Marcelo Vanzin (JIRA)" <ji...@apache.org> on 2015/06/11 02:55:00 UTC

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

Marcelo Vanzin created SPARK-8302:
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             Summary: 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


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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