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authorPrashant Sharma <scrapcodes@gmail.com>2014-01-02 14:09:37 +0530
committerPrashant Sharma <scrapcodes@gmail.com>2014-01-02 14:09:37 +0530
commit6be4c1119493dea2af9734ad8b59fcded31f2676 (patch)
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parent8821c3a5262d6893d2a1fd6ed86afd1213114b4d (diff)
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@@ -17,7 +17,7 @@ Spark runs on both Windows and UNIX-like systems (e.g. Linux, Mac OS). All you n
Spark uses [Simple Build Tool](http://www.scala-sbt.org), which is bundled with it. To compile the code, go into the top-level Spark directory and run
- sbt/sbt assembly
+ sbt assembly
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/).
@@ -56,12 +56,12 @@ Hadoop, you must build Spark against the same version that your cluster uses.
By default, Spark links to Hadoop 1.0.4. You can change this by setting the
`SPARK_HADOOP_VERSION` variable when compiling:
- SPARK_HADOOP_VERSION=2.2.0 sbt/sbt assembly
+ SPARK_HADOOP_VERSION=2.2.0 sbt assembly
In addition, if you wish to run Spark on [YARN](running-on-yarn.html), set
`SPARK_YARN` to `true`:
- SPARK_HADOOP_VERSION=2.0.5-alpha SPARK_YARN=true sbt/sbt assembly
+ SPARK_HADOOP_VERSION=2.0.5-alpha SPARK_YARN=true sbt assembly
Note that on Windows, you need to set the environment variables on separate lines, e.g., `set SPARK_HADOOP_VERSION=1.2.1`.