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
