GitHub user aarondav opened a pull request:
https://github.com/apache/spark/pull/922
SPARK-1839: PySpark RDD#take() shouldn't always read from driver
This patch simply ports over the Scala implementation of RDD#take(), which
reads the first partition at the driver, then decides how many more partitions
it needs to read and will possibly start a real job if it's more than 1. (Note
that SparkContext#runJob(allowLocal=true) only runs the job locally if there's
1 partition selected and no parent stages.)
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/aarondav/spark take
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/922.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #922
----
commit fa06df95e7dbfc9799feb913685cc181b0377576
Author: Aaron Davidson <aa...@databricks.com>
Date: 2014-05-30T16:41:55Z
SPARK-1839: PySpark RDD#take() shouldn't always read from driver
This patch simply ports over the Scala implementation of RDD#take(),
which reads the first partition at the driver, then decides how many
more partitions it needs to read and will possibly start a real job
if it's more than 1. (Note that SparkContext#runJob(allowLocal=true)
only runs the job locally if there's 1 partition selected and no
parent stages.)
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