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* Removed sbt folder and changed docs accordinglyPrashant Sharma2014-01-021-1/+1
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* Fix Cygwin support in several scripts.Josh Rosen2013-12-151-0/+10
| | | | | | | | | This allows the spark-shell, spark-class, run-example, make-distribution.sh, and ./bin/start-* scripts to work under Cygwin. Note that this doesn't support PySpark under Cygwin, since that requires many additional `cygpath` calls from within Python and will be non-trivial to implement. This PR was inspired by, and subsumes, #253 (so close #253 after this is merged).
* version changed 2.9.3 -> 2.10 in shell script.Prashant Sharma2013-09-151-1/+1
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* better expressionHaoyuan Li2013-09-101-4/+4
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* fix run-example scriptHaoyuan Li2013-09-101-4/+4
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* More doc improvements + better warnings when you haven't built SparkMatei Zaharia2013-08-301-1/+1
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* Update Maven build to create assemblies expected by new scriptsMatei Zaharia2013-08-291-2/+7
| | | | | | | | | | | | | | | This includes the following changes: - The "assembly" package now builds in Maven by default, and creates an assembly containing both hadoop-client and Spark, unlike the old BigTop distribution assembly that skipped hadoop-client - There is now a bigtop-dist package to build the old BigTop assembly - The repl-bin package is no longer built by default since the scripts don't reply on it; instead it can be enabled with -Prepl-bin - Py4J is now included in the assembly/lib folder as a local Maven repo, so that the Maven package can link to it - run-example now adds the original Spark classpath as well because the Maven examples assembly lists spark-core and such as provided - The various Maven projects add a spark-yarn dependency correctly
* Change build and run instructions to use assembliesMatei Zaharia2013-08-291-0/+76
This commit makes Spark invocation saner by using an assembly JAR to find all of Spark's dependencies instead of adding all the JARs in lib_managed. It also packages the examples into an assembly and uses that as SPARK_EXAMPLES_JAR. Finally, it replaces the old "run" script with two better-named scripts: "run-examples" for examples, and "spark-class" for Spark internal classes (e.g. REPL, master, etc). This is also designed to minimize the confusion people have in trying to use "run" to run their own classes; it's not meant to do that, but now at least if they look at it, they can modify run-examples to do a decent job for them. As part of this, Bagel's examples are also now properly moved to the examples package instead of bagel.