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Posted to issues@spark.apache.org by "Richard Yu (Jira)" <ji...@apache.org> on 2023/05/26 15:45:00 UTC
[jira] [Created] (SPARK-43815) Add SQL functions to_varchar and extend to_char functionality
Richard Yu created SPARK-43815:
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Summary: Add SQL functions to_varchar and extend to_char functionality
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
Today, users who have SQL engines which support ```to_varchar``` needs to change such function invocations to ```to_char``` when migrating to Apache Spark. To help minimize the amount of changes which users need to make, we introduce a ```to_varchar``` function alias for ```to_char```. Additionally, we extend ```to_char()``` such that when the first argument of the function is:
* date or timestamp: ```to_char``` is equivalent to ```date_format(expr, format)```
* base64: equivalent to ```base64()```
* hex: equivalent to ```hex()```
* UTF-8: equivalent to ```decode(<expr>, 'UTF-8')```
Additioally, we add support for the ```timediff``` alias for ```timestampdiff```.
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