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