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| author | Narine Kokhlikyan <narine.kokhlikyan@gmail.com> | 2016-06-15 21:42:05 -0700 |
|---|---|---|
| committer | Shivaram Venkataraman <shivaram@cs.berkeley.edu> | 2016-06-15 21:42:05 -0700 |
| commit | 7c6c6926376c93acc42dd56a399d816f4838f28c (patch) | |
| tree | bbf8f9dc1d7a044b890b6c95fdd3a17aa76fea89 /R/install-dev.bat | |
| parent | b75f454f946714b93fe561055cd53b0686187d2e (diff) | |
| download | spark-7c6c6926376c93acc42dd56a399d816f4838f28c.tar.gz spark-7c6c6926376c93acc42dd56a399d816f4838f28c.tar.bz2 spark-7c6c6926376c93acc42dd56a399d816f4838f28c.zip | |
[SPARK-12922][SPARKR][WIP] Implement gapply() on DataFrame in SparkR
## What changes were proposed in this pull request?
gapply() applies an R function on groups grouped by one or more columns of a DataFrame, and returns a DataFrame. It is like GroupedDataSet.flatMapGroups() in the Dataset API.
Please, let me know what do you think and if you have any ideas to improve it.
Thank you!
## How was this patch tested?
Unit tests.
1. Primitive test with different column types
2. Add a boolean column
3. Compute average by a group
Author: Narine Kokhlikyan <narine.kokhlikyan@gmail.com>
Author: NarineK <narine.kokhlikyan@us.ibm.com>
Closes #12836 from NarineK/gapply2.
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