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| author | Prashant Sharma <prashant.s@imaginea.com> | 2014-01-03 14:37:42 +0530 |
|---|---|---|
| committer | Prashant Sharma <prashant.s@imaginea.com> | 2014-01-03 14:43:37 +0530 |
| commit | 94f2fffa23436ed66a24c705f88dabe59bf54037 (patch) | |
| tree | a83d3f9e512183903e1b69fccdd0d2bcef1663ab /docs/running-on-yarn.md | |
| parent | b4bb80002bbf0ac3642c78ae9e5c260b5da4a4cc (diff) | |
| download | spark-94f2fffa23436ed66a24c705f88dabe59bf54037.tar.gz spark-94f2fffa23436ed66a24c705f88dabe59bf54037.tar.bz2 spark-94f2fffa23436ed66a24c705f88dabe59bf54037.zip | |
fixed review comments
Diffstat (limited to 'docs/running-on-yarn.md')
| -rw-r--r-- | docs/running-on-yarn.md | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/docs/running-on-yarn.md b/docs/running-on-yarn.md index 13d5fd3685..aded6430b3 100644 --- a/docs/running-on-yarn.md +++ b/docs/running-on-yarn.md @@ -12,7 +12,7 @@ was added to Spark in version 0.6.0, and improved in 0.7.0 and 0.8.0. We need a consolidated Spark JAR (which bundles all the required dependencies) to run Spark jobs on a YARN cluster. This can be built by setting the Hadoop version and `SPARK_YARN` environment variable, as follows: - SPARK_HADOOP_VERSION=2.0.5-alpha SPARK_YARN=true ./sbt assembly + SPARK_HADOOP_VERSION=2.0.5-alpha SPARK_YARN=true sbt assembly The assembled JAR will be something like this: `./assembly/target/scala-{{site.SCALA_VERSION}}/spark-assembly_{{site.SPARK_VERSION}}-hadoop2.0.5.jar`. @@ -72,7 +72,7 @@ The command to launch the YARN Client is as follows: For example: # Build the Spark assembly JAR and the Spark examples JAR - $ SPARK_HADOOP_VERSION=2.0.5-alpha SPARK_YARN=true ./sbt assembly + $ SPARK_HADOOP_VERSION=2.0.5-alpha SPARK_YARN=true sbt assembly # Configure logging $ cp conf/log4j.properties.template conf/log4j.properties |