You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@arrow.apache.org by "Krisztian Szucs (JIRA)" <ji...@apache.org> on 2018/12/10 15:44:01 UTC
[jira] [Assigned] (ARROW-2624) [Python] Random schema and data
generator for Arrow conversion and Parquet testing
[ https://issues.apache.org/jira/browse/ARROW-2624?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Krisztian Szucs reassigned ARROW-2624:
--------------------------------------
Assignee: Krisztian Szucs
> [Python] Random schema and data generator for Arrow conversion and Parquet testing
> ----------------------------------------------------------------------------------
>
> Key: ARROW-2624
> URL: https://issues.apache.org/jira/browse/ARROW-2624
> Project: Apache Arrow
> Issue Type: Improvement
> Components: Python
> Reporter: Wes McKinney
> Assignee: Krisztian Szucs
> Priority: Major
> Labels: parquet, pull-request-available
> Fix For: 0.12.0
>
> Time Spent: 6.5h
> Remaining Estimate: 0h
>
> See discussion in https://github.com/apache/arrow/issues/2067
> Being able to generate random complex schemas and corresponding example data sets will help with exercising edge cases in many different parts of the codebase. One practical example: reading and writing nested data to Parquet format
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)