[jira] [Commented] (SPARK-20639) Add single argument support for to_timestamp in SQL

["Apache Spark (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-20639?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16001126#comment-16001126 ] 

Apache Spark commented on SPARK-20639:
--------------------------------------

User 'HyukjinKwon' has created a pull request for this issue:
https://github.com/apache/spark/pull/17901

> Add single argument support for to_timestamp in SQL
> ---------------------------------------------------
>
>                 Key: SPARK-20639
>                 URL: https://issues.apache.org/jira/browse/SPARK-20639
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 2.2.0
>            Reporter: Hyukjin Kwon
>            Priority: Minor
>
> Currently, it looks we can omit the timestamp format as below:
> {code}
> import org.apache.spark.sql.functions._
> Seq("2016-12-31 00:12:00.00").toDF("a").select(to_timestamp(col("a"))).show()
> {code}
> {code}
> +----------------------------------------+
> |to_timestamp(`a`, 'yyyy-MM-dd HH:mm:ss')|
> +----------------------------------------+
> |                     2016-12-31 00:12:00|
> +----------------------------------------+
> {code}
> whereas this does not work in SQL as below:
> {code}
> spark-sql> SELECT to_timestamp('2016-12-31 00:12:00.00');
> Error in query: Invalid number of arguments for function to_timestamp; line 1 pos 7
> {code}
> It looks we could support this too. For {{to_date}}, it looks already working in SQL as well as other language APIs.
> {code}
> scala> Seq("2016-12-31").toDF("a").select(to_date(col("a"))).show()
> +----------+
> |to_date(a)|
> +----------+
> |2016-12-31|
> +----------+
> {code}
> {code}
> spark-sql> SELECT to_date('2016-12-31');
> 2016-12-31
> {code}



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