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https://issues.apache.org/jira/browse/SPARK-31023?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wenchen Fan resolved SPARK-31023.
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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_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().
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