GitHub user viirya opened a pull request:
https://github.com/apache/spark/pull/15427
[SPARK-17866][SPARK-17867][SQL] Fix Dataset.dropduplicates
## What changes were proposed in this pull request?
Two issues regarding Dataset.dropduplicates:
1. Dataset.dropDuplicates should consider the columns with same column name
We find and get the first resolved attribute from output with the given
column name in `Dataset.dropDuplicates`. When we have the more than one columns
with the same name. Other columns are put into aggregation columns, instead of
grouping columns.
2. Dataset.dropDuplicates should not change the output of child plan
We create new `Alias` with new exprId in `Dataset.dropDuplicates` now.
However it causes problem when we want to select the columns as follows:
val ds = Seq(("a", 1), ("a", 2), ("b", 1), ("a", 1)).toDS()
// ds("_2") will cause analysis exception
ds.dropDuplicates("_1").select(ds("_1").as[String],
ds("_2").as[Int])
Because the two issues are both related to `Dataset.dropduplicates` and the
code changes are not big, so submitting them together as one PR.
## How was this patch tested?
Jenkins tests.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/viirya/spark-1 fix-dropduplicates
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/15427.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 #15427
----
commit dd6405c003ea082b1c614f2efed4d1bcb2d6f5b9
Author: Liang-Chi Hsieh <[email protected]>
Date: 2016-10-11T06:08:44Z
Fix Dataset.dropduplicates.
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