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Posted to issues@spark.apache.org by "Bryan Cutler (Jira)" <ji...@apache.org> on 2020/08/24 21:56:00 UTC
[jira] [Resolved] (SPARK-32686) Un-deprecate inferring DataFrame
schema from list of dictionaries
[ https://issues.apache.org/jira/browse/SPARK-32686?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Bryan Cutler resolved SPARK-32686.
----------------------------------
Fix Version/s: 3.1.0
Resolution: Fixed
Issue resolved by pull request 29510
[https://github.com/apache/spark/pull/29510]
> Un-deprecate inferring DataFrame schema from list of dictionaries
> -----------------------------------------------------------------
>
> Key: SPARK-32686
> URL: https://issues.apache.org/jira/browse/SPARK-32686
> Project: Spark
> Issue Type: Improvement
> Components: PySpark, SQL
> Affects Versions: 3.1.0
> Reporter: Nicholas Chammas
> Assignee: Nicholas Chammas
> Priority: Minor
> Fix For: 3.1.0
>
>
> Inferring the schema of a DataFrame from a list of dictionaries feels natural for PySpark users, and also mirrors [basic functionality in Pandas|https://stackoverflow.com/a/20638258/877069].
> This is currently possible in PySpark but comes with a deprecation warning. We should un-deprecate this behavior if there are no deeper reasons to discourage users from this API, beyond wanting to push them to use {{Row}}.
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