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-rw-r--r--docs/running-on-yarn.md8
1 files changed, 4 insertions, 4 deletions
diff --git a/docs/running-on-yarn.md b/docs/running-on-yarn.md
index 1a0afd19d4..678cd57aba 100644
--- a/docs/running-on-yarn.md
+++ b/docs/running-on-yarn.md
@@ -15,9 +15,9 @@ We need a consolidated spark core jar (which bundles all the required dependenci
This can be built either through sbt or via maven.
- Building spark assembled jar via sbt.
-Enable YARN support by setting `SPARK_WITH_YARN=true` when invoking sbt:
+Enable YARN support by setting `SPARK_YARN=true` when invoking sbt:
- SPARK_HADOOP_VERSION=2.0.5-alpha SPARK_WITH_YARN=true ./sbt/sbt clean assembly
+ SPARK_HADOOP_VERSION=2.0.5-alpha SPARK_YARN=true ./sbt/sbt clean assembly
The assembled jar would typically be something like :
`./yarn/target/spark-yarn-assembly-0.8.0-SNAPSHOT.jar`
@@ -55,7 +55,7 @@ This would be used to connect to the cluster, write to the dfs and submit jobs t
The command to launch the YARN Client is as follows:
- SPARK_JAR=<SPARK_YARN_JAR_FILE> ./run spark.deploy.yarn.Client \
+ SPARK_JAR=<SPARK_YARN_JAR_FILE> ./spark-class spark.deploy.yarn.Client \
--jar <YOUR_APP_JAR_FILE> \
--class <APP_MAIN_CLASS> \
--args <APP_MAIN_ARGUMENTS> \
@@ -67,7 +67,7 @@ The command to launch the YARN Client is as follows:
For example:
- SPARK_JAR=./yarn/target/spark-yarn-assembly-{{site.SPARK_VERSION}}.jar ./run spark.deploy.yarn.Client \
+ SPARK_JAR=./yarn/target/spark-yarn-assembly-{{site.SPARK_VERSION}}.jar ./spark-class spark.deploy.yarn.Client \
--jar examples/target/scala-{{site.SCALA_VERSION}}/spark-examples_{{site.SCALA_VERSION}}-{{site.SPARK_VERSION}}.jar \
--class spark.examples.SparkPi \
--args yarn-standalone \