Hyukjin Kwon created SPARK-20639:
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Summary: 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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