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| author | Matei Zaharia <matei@eecs.berkeley.edu> | 2013-08-23 23:30:17 -0700 |
|---|---|---|
| committer | Matei Zaharia <matei@eecs.berkeley.edu> | 2013-08-29 21:19:04 -0700 |
| commit | 53cd50c0699efc8733518658100c62426b425de2 (patch) | |
| tree | 334e1924a46f7faafe680f46d910ce3e6ac5edc6 /docs/running-on-yarn.md | |
| parent | abdbacf2521ec40ee03ecc8e1aae8823013f24f1 (diff) | |
| download | spark-53cd50c0699efc8733518658100c62426b425de2.tar.gz spark-53cd50c0699efc8733518658100c62426b425de2.tar.bz2 spark-53cd50c0699efc8733518658100c62426b425de2.zip | |
Change build and run instructions to use assemblies
This commit makes Spark invocation saner by using an assembly JAR to
find all of Spark's dependencies instead of adding all the JARs in
lib_managed. It also packages the examples into an assembly and uses
that as SPARK_EXAMPLES_JAR. Finally, it replaces the old "run" script
with two better-named scripts: "run-examples" for examples, and
"spark-class" for Spark internal classes (e.g. REPL, master, etc). This
is also designed to minimize the confusion people have in trying to use
"run" to run their own classes; it's not meant to do that, but now at
least if they look at it, they can modify run-examples to do a decent
job for them.
As part of this, Bagel's examples are also now properly moved to the
examples package instead of bagel.
Diffstat (limited to 'docs/running-on-yarn.md')
| -rw-r--r-- | docs/running-on-yarn.md | 8 |
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 \ |