[jira] [Assigned] (SPARK-24642) Add a function which infers schema from a JSON column

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

     [ https://issues.apache.org/jira/browse/SPARK-24642?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-24642:
------------------------------------

    Assignee: Apache Spark

> 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
>            Assignee: Apache Spark
>            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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