[jira] [Resolved] (SPARK-31020) Support foldable schemas by `from_csv`

["Wenchen Fan (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-31020?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Wenchen Fan resolved SPARK-31020.
---------------------------------
    Fix Version/s: 3.1.0
       Resolution: Fixed

Issue resolved by pull request 27804
[https://github.com/apache/spark/pull/27804]

> Support foldable schemas by `from_csv`
> --------------------------------------
>
>                 Key: SPARK-31020
>                 URL: https://issues.apache.org/jira/browse/SPARK-31020
>             Project: Spark
>          Issue Type: New Feature
>          Components: SQL
>    Affects Versions: 3.0.0
>            Reporter: Maxim Gekk
>            Assignee: Maxim Gekk
>            Priority: Minor
>             Fix For: 3.1.0
>
>
> Currently, Spark accepts only literals or schema_of_csv w/ literal input as the schema parameter of from_csv. And it fails on any foldable expressions, for instance:
> {code:sql}
> spark-sql> select from_csv('1, 3.14', replace('dpt_org_id INT, dpt_org_city STRING', 'dpt_org_', ''));
> Error in query: Schema should be specified in DDL format as a string literal or output of the schema_of_csv function instead of replace('dpt_org_id INT, dpt_org_city STRING', 'dpt_org_', '');; line 1 pos 7
> {code}
> There are no reasons to restrict users by literals. The ticket aims to support any foldable schemas by from_csv().



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