GitHub user NarineK opened a pull request:
https://github.com/apache/spark/pull/12966
[SPARK-15196][SparkR] Add a wrapper for dapply(repartiition(col,...), ... )
## What changes were proposed in this pull request?
As mentioned in :
https://github.com/apache/spark/pull/12836#issuecomment-217338855
We would like to create a wrapper for: dapply(repartiition(col,...), ... )
This will allow to run aggregate functions on groups which are identified
by a list of grouping columns.
I called the wrapper method gapply. We can rename it if we want to call it
differently.
We could also have:
` setMethod("dapply", signature(x = "SparkDataFrame", func = "function",
schema = "structType", col = "Column"),` , however, dapply already has many
examples in the doc and if we add new examples for aggregate functions that
will make the documentation longer and less clear.
## How was this patch tested?
Unit tests
1. Group by a column and compute mean
2. Group by a column and train linear model
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/NarineK/spark repartitionWithDapply
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/12966.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 #12966
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commit be5de6a42e50c42b4af15b87623bc7b49aecb353
Author: NarineK <[email protected]>
Date: 2016-05-06T21:51:35Z
Add a wrapper for dapply(repartiition(col,...), ... )
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