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Posted to reviews@spark.apache.org by dongjoon-hyun <gi...@git.apache.org> on 2016/06/01 08:23:36 UTC
[GitHub] spark pull request: [SPARK-15696][SQL] Improve `crosstab` to have a consiste...
GitHub user dongjoon-hyun opened a pull request:
https://github.com/apache/spark/pull/13436
[SPARK-15696][SQL] Improve `crosstab` to have a consistent column order
## What changes were proposed in this pull request?
Currently, `crosstab` returns a Dataframe having **random-order** columns obtained by just `distinct`. Also, the documentation of `crosstab` shows the result in a sorted order which is different from the current implementation. This PR explicitly constructs the columns in a sorted order in order to improve user experience. Also, this implementation gives the same result with the documentation.
**Before**
```scala
scala> spark.createDataFrame(Seq((1, 1), (1, 2), (2, 1), (2, 1), (2, 3), (3, 2), (3, 3))).toDF("key", "value").stat.crosstab("key", "value").show()
+---------+---+---+---+
|key_value| 3| 2| 1|
+---------+---+---+---+
| 2| 1| 0| 2|
| 1| 0| 1| 1|
| 3| 1| 1| 0|
+---------+---+---+---+
scala> spark.createDataFrame(Seq((1, "a"), (1, "b"), (2, "a"), (2, "a"), (2, "c"), (3, "b"), (3, "c"))).toDF("key", "value").stat.crosstab("key", "value").show()
+---------+---+---+---+
|key_value| c| a| b|
+---------+---+---+---+
| 2| 1| 2| 0|
| 1| 0| 1| 1|
| 3| 1| 0| 1|
+---------+---+---+---+
```
**After**
```scala
scala> spark.createDataFrame(Seq((1, 1), (1, 2), (2, 1), (2, 1), (2, 3), (3, 2), (3, 3))).toDF("key", "value").stat.crosstab("key", "value").show()
+---------+---+---+---+
|key_value| 1| 2| 3|
+---------+---+---+---+
| 2| 2| 0| 1|
| 1| 1| 1| 0|
| 3| 0| 1| 1|
+---------+---+---+---+
scala> spark.createDataFrame(Seq((1, "a"), (1, "b"), (2, "a"), (2, "a"), (2, "c"), (3, "b"), (3, "c"))).toDF("key", "value").stat.crosstab("key", "value").show()
+---------+---+---+---+
|key_value| a| b| c|
+---------+---+---+---+
| 2| 2| 0| 1|
| 1| 1| 1| 0|
| 3| 0| 1| 1|
+---------+---+---+---+
```
## How was this patch tested?
Pass the Jenkins tests with existing tests.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/dongjoon-hyun/spark SPARK-15696
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/13436.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 #13436
----
commit 64d3821ee39e9f4a5a0b4ca7ad0d1675ae1b9e4b
Author: Dongjoon Hyun <do...@apache.org>
Date: 2016-06-01T08:14:50Z
[SPARK-15696][SQL] Improve `crosstab` to have a consistent column order
----
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[GitHub] spark issue #13436: [SPARK-15696][SQL] Improve `crosstab` to have a consiste...
Posted by dongjoon-hyun <gi...@git.apache.org>.
Github user dongjoon-hyun commented on the issue:
https://github.com/apache/spark/pull/13436
Hi, @rxin .
Could you review this PR and give some opinion when you have some time?
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[GitHub] spark pull request: [SPARK-15696][SQL] Improve `crosstab` to have a consiste...
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* This patch **fails Spark unit tests**.
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Posted by dongjoon-hyun <gi...@git.apache.org>.
Github user dongjoon-hyun commented on the issue:
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Thank you, @rxin .
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[GitHub] spark issue #13436: [SPARK-15696][SQL] Improve `crosstab` to have a consiste...
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@srowen .
Could you review this PR, too?
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[GitHub] spark issue #13436: [SPARK-15696][SQL] Improve `crosstab` to have a consiste...
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LGTM - merging in master/2.0.
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[GitHub] spark pull request #13436: [SPARK-15696][SQL] Improve `crosstab` to have a c...
Posted by asfgit <gi...@git.apache.org>.
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