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author | Matei Zaharia <matei@eecs.berkeley.edu> | 2012-10-09 09:46:20 -0700 |
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committer | Matei Zaharia <matei@eecs.berkeley.edu> | 2012-10-09 09:46:20 -0700 |
commit | 4780fee887b98e1bf07a21f6152c83bd03378f66 (patch) | |
tree | 904b90dc62cb541d77a5baf161d8d57e4a04a1c9 /docs/quick-start.md | |
parent | d3b8252050f3293b1a9d292fd9d37ddb68a01124 (diff) | |
parent | e1a724f39ca986fb3aee9619ca80c10878520f56 (diff) | |
download | spark-4780fee887b98e1bf07a21f6152c83bd03378f66.tar.gz spark-4780fee887b98e1bf07a21f6152c83bd03378f66.tar.bz2 spark-4780fee887b98e1bf07a21f6152c83bd03378f66.zip |
Merge pull request #260 from andyk/update-docs-to-use-version-vars
Updates docs to use the new version num vars and adds Spark version in nav bar
Diffstat (limited to 'docs/quick-start.md')
-rw-r--r-- | docs/quick-start.md | 10 |
1 files changed, 5 insertions, 5 deletions
diff --git a/docs/quick-start.md b/docs/quick-start.md index d28e788239..51e60426b5 100644 --- a/docs/quick-start.md +++ b/docs/quick-start.md @@ -119,7 +119,7 @@ import SparkContext._ object SimpleJob extends Application { val logFile = "/var/log/syslog" // Should be some log file on your system val sc = new SparkContext("local", "Simple Job", "$YOUR_SPARK_HOME", - "target/scala-2.9.2/simple-project_2.9.2-1.0.jar") + "target/scala-{{site.SCALA_VERSION}}/simple-project_{{site.SCALA_VERSION}}-1.0.jar") val logData = sc.textFile(logFile, 2).cache() val numAs = logData.filter(line => line.contains("a")).count() val numBs = logData.filter(line => line.contains("b")).count() @@ -136,9 +136,9 @@ name := "Simple Project" version := "1.0" -scalaVersion := "2.9.2" +scalaVersion := "{{site.SCALA_VERSION}}" -libraryDependencies += "org.spark-project" %% "spark-core" % "0.6.0-SNAPSHOT" +libraryDependencies += "org.spark-project" %% "spark-core" % "{{site.SPARK_VERSION}}" {% endhighlight %} Of course, for sbt to work correctly, we'll need to layout `SimpleJob.scala` and `simple.sbt` according to the typical directory structure. Once that is in place, we can create a jar package containing the job's code, then use `sbt run` to execute our example job. @@ -209,8 +209,8 @@ Our Maven `pom.xml` file will list Spark as a dependency. Note that Spark artifa <dependencies> <dependency> <!-- Spark dependency --> <groupId>org.spark-project</groupId> - <artifactId>spark-core_2.9.2</artifactId> - <version>0.6.0-SNAPSHOT</version> + <artifactId>spark-core_{{site.SCALA_VERSION}}</artifactId> + <version>{{site.SPARK_VERSION}}</version> </dependency> </dependencies> </project> |