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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2017/03/19 13:39:41 UTC
[jira] [Created] (SPARK-20018) Pivot with timestamp and count
should not print internal representation
Hyukjin Kwon created SPARK-20018:
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Summary: Pivot with timestamp and count should not print internal representation
Key: SPARK-20018
URL: https://issues.apache.org/jira/browse/SPARK-20018
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 2.2.0
Reporter: Hyukjin Kwon
Priority: Minor
Currently, when we perform count with timestamp types, it prints the internal representation as the column name as below:
{code}
scala> Seq(new java.sql.Timestamp(1)).toDF("a").groupBy("a").pivot("a").count().show()
+--------------------+----+
| a|1000|
+--------------------+----+
|1969-12-31 16:00:...| 1|
+--------------------+----+
{code}
It seems this should be
{code}
Testing started at PM 10:30 ...
+--------------------+-----------------------+
| a|1969-12-31 16:00:00.001|
+--------------------+-----------------------+
|1969-12-31 16:00:...| 1|
+--------------------+-----------------------+
{code}
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