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https://issues.apache.org/jira/browse/SPARK-43815?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Richard Yu updated SPARK-43815:
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Description:
We want to add the alias to_varchar for the function to_char.
For users who are migrating to Spark SQL such that the SQL engine they formerly
used supported to_varchar instead of to_char, this change would minimize the
number of chars to their application to ensure it is compatible with Spark SQL
syntax and support.
was:
We want to add support for the follow functions:
* to_varchar() as an alias for to_char()
* Expand to_char() to take date, timestamp and binary expression as the first
argument. For date and timestamp expression, the function will be equivalent to
date_format(expr, fmt) . For binary expression, the function will be equivalent
to base64() , hex(), and decode(<expr>, 'UTF-8') for fmt base64, hex, and UTF-8
respectively.
* timediff() as an alias for timestampdiff()
> Add SQL functions to_varchar alias for to_char
> ----------------------------------------------
>
> Key: SPARK-43815
> URL: https://issues.apache.org/jira/browse/SPARK-43815
> Project: Spark
> Issue Type: New Feature
> Components: SQL
> Affects Versions: 3.4.1
> Reporter: Richard Yu
> Priority: Major
>
> We want to add the alias to_varchar for the function to_char.
> For users who are migrating to Spark SQL such that the SQL engine they
> formerly used supported to_varchar instead of to_char, this change would
> minimize the number of chars to their application to ensure it is compatible
> with Spark SQL syntax and support.
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