[jira] [Commented] (SPARK-31023) Support foldable schemas by `from_json`

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

    [ https://issues.apache.org/jira/browse/SPARK-31023?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17127047#comment-17127047 ] 

Apache Spark commented on SPARK-31023:
--------------------------------------

User 'MaxGekk' has created a pull request for this issue:
https://github.com/apache/spark/pull/27804

> Support foldable schemas by `from_json`
> ---------------------------------------
>
>                 Key: SPARK-31023
>                 URL: https://issues.apache.org/jira/browse/SPARK-31023
>             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_json w/ literal input as the schema parameter of from_json. And it fails on any foldable expressions, for instance:
> {code:sql}
> spark-sql> select from_json('{"id":1, "city":"Moscow"}', 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_json 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_json().



--
This message was sent by Atlassian Jira
(v8.3.4#803005)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org