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author | Dongjoon Hyun <dongjoon@apache.org> | 2016-06-20 11:12:41 -0700 |
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committer | Shivaram Venkataraman <shivaram@cs.berkeley.edu> | 2016-06-20 11:12:41 -0700 |
commit | 9613424898fd2a586156bc4eb48e255749774f20 (patch) | |
tree | 937563432cb0a98bdbe8c3733af72222e96c21b5 /README.md | |
parent | 5cfabec8724714b897d6e23e670c39e58f554ea2 (diff) | |
download | spark-9613424898fd2a586156bc4eb48e255749774f20.tar.gz spark-9613424898fd2a586156bc4eb48e255749774f20.tar.bz2 spark-9613424898fd2a586156bc4eb48e255749774f20.zip |
[SPARK-16059][R] Add `monotonically_increasing_id` function in SparkR
## What changes were proposed in this pull request?
This PR adds `monotonically_increasing_id` column function in SparkR for API parity.
After this PR, SparkR supports the followings.
```r
> df <- read.json("examples/src/main/resources/people.json")
> collect(select(df, monotonically_increasing_id(), df$name, df$age))
monotonically_increasing_id() name age
1 0 Michael NA
2 1 Andy 30
3 2 Justin 19
```
## How was this patch tested?
Pass the Jenkins tests (with added testcase).
Author: Dongjoon Hyun <dongjoon@apache.org>
Closes #13774 from dongjoon-hyun/SPARK-16059.
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