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https://issues.apache.org/jira/browse/SPARK-24642?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16526547#comment-16526547
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Maxim Gekk commented on SPARK-24642:
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> I think this is too complicated and unpredictable.
ok. I will close the PR: https://github.com/apache/spark/pull/21626
> Add a function which infers schema from a JSON column
> -----------------------------------------------------
>
> Key: SPARK-24642
> URL: https://issues.apache.org/jira/browse/SPARK-24642
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 2.3.1
> Reporter: Maxim Gekk
> Priority: Minor
>
> Need to add new aggregate function - *infer_schema()*. The function should
> infer schema for set of JSON strings. The result of the function is a schema
> in DDL format (or JSON format).
> One of the use cases is passing output of *infer_schema()* to *from_json()*.
> Currently, the from_json() function requires a schema as a mandatory
> argument. It is possible to infer schema programmatically in Scala/Python and
> pass it as the second argument but in SQL it is not possible. An user has to
> pass schema as string literal in SQL. The new function should allow to use it
> in SQL like in the example:
> {code:sql}
> select from_json(json_col, infer_schema(json_col))
> from json_table;
> {code}
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