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From "Maxim Gekk (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-24642) Add a function which infers schema from a JSON column
Date Sun, 01 Jul 2018 09:46:00 GMT

    [ https://issues.apache.org/jira/browse/SPARK-24642?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16529030#comment-16529030
] 

Maxim Gekk commented on SPARK-24642:
------------------------------------

I created new ticket SPARK-24709 which aims to add simpler function.

> 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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