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author | Eric Chiang <eric.chiang.m@gmail.com> | 2015-04-20 13:11:21 -0700 |
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committer | Reynold Xin <rxin@databricks.com> | 2015-04-20 13:11:21 -0700 |
commit | 97fda73db4efda2ba5b12937954de428258a5b56 (patch) | |
tree | da1c27196715eff2c37b068ad5a974f612b468b1 | |
parent | 1ebceaa55bec28850a48fb28b4cf7b44c8448a78 (diff) | |
download | spark-97fda73db4efda2ba5b12937954de428258a5b56.tar.gz spark-97fda73db4efda2ba5b12937954de428258a5b56.tar.bz2 spark-97fda73db4efda2ba5b12937954de428258a5b56.zip |
fixed doc
The contribution is my original work. I license the work to the project under the project's open source license.
Small typo in the programming guide.
Author: Eric Chiang <eric.chiang.m@gmail.com>
Closes #5599 from ericchiang/docs-typo and squashes the following commits:
1177942 [Eric Chiang] fixed doc
-rw-r--r-- | docs/programming-guide.md | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/docs/programming-guide.md b/docs/programming-guide.md index f4fabb0927..27816515c5 100644 --- a/docs/programming-guide.md +++ b/docs/programming-guide.md @@ -1093,7 +1093,7 @@ for details. ### Shuffle operations Certain operations within Spark trigger an event known as the shuffle. The shuffle is Spark's -mechanism for re-distributing data so that is grouped differently across partitions. This typically +mechanism for re-distributing data so that it's grouped differently across partitions. This typically involves copying data across executors and machines, making the shuffle a complex and costly operation. |