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

["ASF GitHub Bot (Jira)" <ji...@apache.org>]

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

ASF GitHub Bot updated ARROW-8221:
----------------------------------
    Labels: dataset pull-request-available  (was: dataset)

> [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
>            Assignee: Joris Van den Bossche
>            Priority: Major
>              Labels: dataset, pull-request-available
>             Fix For: 3.0.0
>
>          Time Spent: 10m
>  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. 



--
This message was sent by Atlassian Jira
(v8.3.4#803005)