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From "Hyukjin Kwon (JIRA)" <j...@apache.org>
Subject [jira] [Resolved] (SPARK-25672) Inferring schema from CSV string literal
Date Thu, 01 Nov 2018 01:19:00 GMT

     [ https://issues.apache.org/jira/browse/SPARK-25672?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Hyukjin Kwon resolved SPARK-25672.
----------------------------------
       Resolution: Fixed
    Fix Version/s: 3.0.0

Issue resolved by pull request 22666
[https://github.com/apache/spark/pull/22666]

> Inferring schema from CSV string literal
> ----------------------------------------
>
>                 Key: SPARK-25672
>                 URL: https://issues.apache.org/jira/browse/SPARK-25672
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 2.4.0
>            Reporter: Maxim Gekk
>            Assignee: Maxim Gekk
>            Priority: Minor
>             Fix For: 3.0.0
>
>
> Need to add new function - *schema_of_csv()*. The function should infer schema of CSV
string literal. The result of the function is a schema in DDL format.
> One of the use cases is passing output of _schema_of_csv()_ to *from_csv()* (see SPARK-25393).
The new function should allow schema inferring from an example. Let's say csv_col is a column
containing CSV string with the same schema. It should be possible to pass a CSV string with
the same schema to _schema_of_csv()_ which infers schema for the particular example.
> {code:sql}
> select from_csv(csv_col, schema_of_csv('1,a,0.1'))
> from csv_table;
> {code}



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