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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2017/03/19 13:49:41 UTC
[jira] [Assigned] (SPARK-20018) Pivot with timestamp and count
should not print internal representation
[ https://issues.apache.org/jira/browse/SPARK-20018?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-20018:
------------------------------------
Assignee: Apache Spark
> 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
> Assignee: Apache Spark
> 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}
> +--------------------+-----------------------+
> | a|1969-12-31 16:00:00.001|
> +--------------------+-----------------------+
> |1969-12-31 16:00:...| 1|
> +--------------------+-----------------------+
> {code}
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