What I want to find out is how to run tests like Spark's with local-cluster, just like that suite, but in your own projects. Has anyone done this?
On Sun, Apr 17, 2016 at 5:37 AM, Takeshi Yamamuro <linguin....@gmail.com> wrote: > 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.git...@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 >> >> --------------------------------------------------------------------- >> To unsubscribe, e-mail: dev-unsubscr...@spark.apache.org >> For additional commands, e-mail: dev-h...@spark.apache.org >> > > > > -- > --- > Takeshi Yamamuro --------------------------------------------------------------------- To unsubscribe, e-mail: dev-unsubscr...@spark.apache.org For additional commands, e-mail: dev-h...@spark.apache.org
