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From Takeshi Yamamuro <linguin....@gmail.com>
Subject Re: Using local-cluster mode for testing Spark-related projects
Date Sun, 17 Apr 2016 12:37:23 GMT
Hi,
Is this a bad idea to create `SparkContext` with a `local-cluster` mode by
yourself like '
https://github.com/apache/spark/blob/master/core/src/test/scala/org/apache/spark/ShuffleSuite.scala#L55
'?

// maropu

On Sun, Apr 17, 2016 at 9:47 AM, Evan Chan <velvia.github@gmail.com> wrote:

> Hey folks,
>
> I'd like to use local-cluster mode in my Spark-related projects to
> test Spark functionality in an automated way in a simulated local
> cluster.    The idea is to test multi-process things in a much easier
> fashion than setting up a real cluster.   However, getting this up and
> running in a separate project (I'm using Scala 2.10 and ScalaTest) is
> nontrivial.   Does anyone have any suggestions to get up and running?
>
> This is what I've observed so far (I'm testing against 1.5.1, but
> suspect this would apply equally to 1.6.x):
>
> - One needs to have a real Spark distro and point to it using SPARK_HOME
> - SPARK_SCALA_VERSION needs to be set
> - One needs to manually inject jar paths, otherwise dependencies are
> missing.  For example, build an assembly jar of all your deps.  Java
> class directory hierarchies don't seem to work with the setJars(...).
>
> How does Spark's internal scripts make it possible to run
> local-cluster mode and set up all the class paths correctly?   And, is
> it possible to mimic this setup for external Spark projects?
>
> thanks,
> Evan
>
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-- 
---
Takeshi Yamamuro

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