GitHub user nongli opened a pull request:
https://github.com/apache/spark/pull/9364
[SPARK-11410] [SQL] Add APIs to provide functionality similar to Hiveâ¦
â¦'s DISTRIBUTE BY
DISTRIBUTE BY allows the user to hash partition the data by specified
exprs. It also allows for
optioning sorting within each resulting partition. There is no required
relationship between the
exprs for partitioning and sorting (i.e. one does not need to be a prefix
of the other).
This patch adds to APIs to DataFrames which can be used together to provide
this functionality:
1. distributeBy() which partitions the data frame into a specified number
of partitions using the
partitioning exprs.
2. localSort() which sorts each partition using the provided sorting
exprs.
To get the DISTRIBUTE BY functionality, the user simply does:
df.distributeBy(...).localSort(...)
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/nongli/spark spark-11410
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/9364.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 #9364
----
commit 71a159f8844ecafb964c67547e5ce88658aa5c25
Author: Nong Li <[email protected]>
Date: 2015-10-29T21:09:24Z
[SPARK-11410] [SQL] Add APIs to provide functionality similar to Hive's
DISTRIBUTE BY
DISTRIBUTE BY allows the user to hash partition the data by specified
exprs. It also allows for
optioning sorting within each resulting partition. There is no required
relationship between the
exprs for partitioning and sorting (i.e. one does not need to be a prefix
of the other).
This patch adds to APIs to DataFrames which can be used together to provide
this functionality:
1. distributeBy() which partitions the data frame into a specified number
of partitions using the
partitioning exprs.
2. localSort() which sorts each partition using the provided sorting
exprs.
To get the DISTRIBUTE BY functionality, the user simply does:
df.distributeBy(...).localSort(...)
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