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authortgravescs <tgraves_cs@yahoo.com>2013-11-04 09:40:40 -0600
committertgravescs <tgraves_cs@yahoo.com>2013-11-04 16:16:28 -0600
commita35472e1dd2ea1b5a0b1fb6b382f5a98f5aeba5a (patch)
tree9af869314d823270e47861208d2388a6e4c5c798 /docs
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Allow spark on yarn to be run from HDFS. Allows the spark.jar, app.jar, and log4j.properties to be put into hdfs.
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@@ -21,6 +21,7 @@ The assembled JAR will be something like this:
# Preparations
- Building a YARN-enabled assembly (see above).
+- The assembled jar can be installed into HDFS or used locally.
- Your application code must be packaged into a separate JAR file.
If you want to test out the YARN deployment mode, you can use the current Spark examples. A `spark-examples_{{site.SCALA_VERSION}}-{{site.SPARK_VERSION}}` file can be generated by running `sbt/sbt assembly`. NOTE: since the documentation you're reading is for Spark version {{site.SPARK_VERSION}}, we are assuming here that you have downloaded Spark {{site.SPARK_VERSION}} or checked it out of source control. If you are using a different version of Spark, the version numbers in the jar generated by the sbt package command will obviously be different.