[jira] [Assigned] (ARROW-8221) [Python][Dataset] Expose schema inference / validation options in the factory

["Apache Arrow JIRA Bot (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/ARROW-8221?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Arrow JIRA Bot reassigned ARROW-8221:
--------------------------------------------

    Assignee:     (was: Joris Van den Bossche)

> [Python][Dataset] Expose schema inference / validation options in the factory
> -----------------------------------------------------------------------------
>
>                 Key: ARROW-8221
>                 URL: https://issues.apache.org/jira/browse/ARROW-8221
>             Project: Apache Arrow
>          Issue Type: Improvement
>          Components: Python
>            Reporter: Joris Van den Bossche
>            Priority: Major
>              Labels: dataset, pull-request-available
>          Time Spent: 2h 20m
>  Remaining Estimate: 0h
>
> ARROW-8058 added options related to schema inference / validation for the Dataset factory. We should expose this in Python in the {{dataset(..)}} factory function:
> - Add ability to pass a user-specified schema with a {{schema}} keyword, instead of inferring the schema from (one of) the files (to be passed to the factory finish method)
> - Add {{validate_schema}} option to toggle whether the schema is validated against the actual files or not.
> - Expose in some way the number of fragments to be inspected when inferring or validating the schema. Not sure yet what the best API for this would be. 
> Some relevant notes from the original PR: https://github.com/apache/arrow/pull/6687#issuecomment-604394407



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