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https://issues.apache.org/jira/browse/HIVE-7382?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14147344#comment-14147344
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Xuefu Zhang commented on HIVE-7382:
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Hi [~lirui], yes, we'd like to use Spark local-cluster to back a mini cluster
when running tests because it's closer to a real cluster and easy to start. I
know it's for Spark internal use, but for test we shoiuld be okay. Especially
it's easy to switch to local if we have to. Such a mini cluster resembles more
to a mr minicluster. It also easy for us to control the number of works,
executor per node, memory, and so on. Thus, I think this is a nice thing to
have. Thanks for researching into this area.
When I did the POC, local-cluster actually worked, of course after resolving a
few library conflicts. We might have the similar problems with the current code
base.
> Create a MiniSparkCluster and set up a testing framework [Spark Branch]
> -----------------------------------------------------------------------
>
> Key: HIVE-7382
> URL: https://issues.apache.org/jira/browse/HIVE-7382
> Project: Hive
> Issue Type: Sub-task
> Components: Spark
> Reporter: Xuefu Zhang
> Assignee: Rui Li
> Labels: Spark-M1
>
> To automatically test Hive functionality over Spark execution engine, we need
> to create a test framework that can execute Hive queries with Spark as the
> backend. For that, we should create a MiniSparkCluser for this, similar to
> other execution engines.
> Spark has a way to create a local cluster with a few processes in the local
> machine, each process is a work node. It's fairly close to a real Spark
> cluster. Our mini cluster can be based on that.
> For more info, please refer to the design doc on wiki.
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