GitHub user HyukjinKwon opened a pull request:
https://github.com/apache/spark/pull/17348
[SPARK-20018][SQL] Pivot with timestamp and count should not print internal
representation
## What changes were proposed in this pull request?
Currently, when we perform count with timestamp types, it prints the
internal representation as the column name as below:
```scala
Seq(new
java.sql.Timestamp(1)).toDF("a").groupBy("a").pivot("a").count().show()
```
```
+--------------------+----+
| a|1000|
+--------------------+----+
|1969-12-31 16:00:...| 1|
+--------------------+----+
```
This PR proposes to use external Scala value instead of the internal
representation in the column names as below:
```
+--------------------+-----------------------+
| a|1969-12-31 16:00:00.001|
+--------------------+-----------------------+
|1969-12-31 16:00:...| 1|
+--------------------+-----------------------+
```
## How was this patch tested?
Unit test in `DataFramePivotSuite` and manual tests.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/HyukjinKwon/spark SPARK-20018
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/17348.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 #17348
----
commit d64a2b13e56330c55dac29abc3a9ccb6085ce73f
Author: hyukjinkwon <[email protected]>
Date: 2017-03-19T13:42:25Z
Pivot with timestamp and count should not print internal representation
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