[jira] [Assigned] (SPARK-24709) Inferring schema from JSON string literal

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

     [ https://issues.apache.org/jira/browse/SPARK-24709?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-24709:
------------------------------------

    Assignee: Apache Spark

> Inferring schema from JSON string literal
> -----------------------------------------
>
>                 Key: SPARK-24709
>                 URL: https://issues.apache.org/jira/browse/SPARK-24709
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 2.3.1
>            Reporter: Maxim Gekk
>            Assignee: Apache Spark
>            Priority: Minor
>
> Need to add new function - *schema_of_json()*. The function should infer schema of JSON string literal. The result of the function is a schema in DDL format.
> One of the use cases is passing output of _schema_of_json()_ to *from_json()*. Currently, the _from_json()_ function requires a schema as a mandatory argument. An user has to pass a schema as string literal in SQL. The new function should allow schema inferring from an example. Let's say json_col is a column containing JSON string with the same schema. It should be possible to pass a JSON string with the same schema to _schema_of_json()_ which infers schema for the particular example.
> {code:sql}
> select from_json(json_col, schema_of_json('{"f1": 0, "f2": [0], "f2": "a"}'))
> from json_table;
> {code}



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