GitHub user dongjoon-hyun opened a pull request:
https://github.com/apache/spark/pull/13768
Add `spark_partition_id` in SparkR
## What changes were proposed in this pull request?
This PR adds `spark_partition_id` virtual column function in SparkR for API
parity.
The following is just an example to illustrate a SparkR usage on a
partitioned parquet table created by
`spark.range(10).write.mode("overwrite").parquet("/tmp/t1")`.
```r
> collect(select(read.parquet('/tmp/t1'), c('id', spark_partition_id())))
id SPARK_PARTITION_ID()
1 3 0
2 4 0
3 8 1
4 9 1
5 0 2
6 1 3
7 2 4
8 5 5
9 6 6
10 7 7
```
## How was this patch tested?
Pass the Jenkins tests (including new testcase).
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/dongjoon-hyun/spark SPARK-16053
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/13768.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 #13768
----
commit 26b9781f047a650a8f9e70b612c168643464ae80
Author: Dongjoon Hyun <[email protected]>
Date: 2016-06-19T06:59:07Z
Add `spark_partition_id` in SparkR
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