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authorEvan Chan <ev@ooyala.com>2013-09-06 14:20:44 -0700
committerEvan Chan <ev@ooyala.com>2013-09-06 14:20:44 -0700
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parent88d53f0dff133920fe14e40a2c4e36dd1c241ec6 (diff)
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@@ -21,6 +21,9 @@ Spark uses [Simple Build Tool](http://www.scala-sbt.org), which is bundled with
For its Scala API, Spark {{site.SPARK_VERSION}} depends on Scala {{site.SCALA_VERSION}}. If you write applications in Scala, you will need to use this same version of Scala in your own program -- newer major versions may not work. You can get the right version of Scala from [scala-lang.org](http://www.scala-lang.org/download/).
+Note: if you are building a binary distribution using `./make-distribution.sh`, you will not need to run
+`sbt/sbt assembly`.
+
# Testing the Build
Spark comes with several sample programs in the `examples` directory.
@@ -46,6 +49,11 @@ Spark supports several options for deployment:
* [Apache Mesos](running-on-mesos.html)
* [Hadoop YARN](running-on-yarn.html)
+There is a script, `./make-distribution.sh`, which will create a binary distribution of Spark for deployment
+to any machine with only the Java runtime as a necessary dependency.
+Running the script creates a distribution directory in `dist/`, or the `-tgz` option to create a .tgz file.
+Check the script for additional options.
+
# A Note About Hadoop Versions
Spark uses the Hadoop-client library to talk to HDFS and other Hadoop-supported