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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> |