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authorMatei Zaharia <matei@eecs.berkeley.edu>2013-06-30 15:38:58 -0700
committerMatei Zaharia <matei@eecs.berkeley.edu>2013-06-30 15:46:46 -0700
commit03d0b858c807339b4221bedffa29ac76eef5352e (patch)
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parentccfe953a4db25c920157554a2cd820f8afb41ca3 (diff)
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Made use of spark.executor.memory setting consistent and documented it
Conflicts: core/src/main/scala/spark/SparkContext.scala
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@@ -106,9 +106,8 @@ permissions on your private key file, you can run `launch` with the
# Configuration
You can edit `/root/spark/conf/spark-env.sh` on each machine to set Spark configuration options, such
-as JVM options and, most crucially, the amount of memory to use per machine (`SPARK_MEM`).
-This file needs to be copied to **every machine** to reflect the change. The easiest way to do this
-is to use a script we provide called `copy-dir`. First edit your `spark-env.sh` file on the master,
+as JVM options. This file needs to be copied to **every machine** to reflect the change. The easiest way to
+do this is to use a script we provide called `copy-dir`. First edit your `spark-env.sh` file on the master,
then run `~/spark-ec2/copy-dir /root/spark/conf` to RSYNC it to all the workers.
The [configuration guide](configuration.html) describes the available configuration options.