You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@arrow.apache.org by "Licht Takeuchi (JIRA)" <ji...@apache.org> on 2017/11/26 12:28:00 UTC

[jira] [Assigned] (ARROW-1436) PyArrow Timestamps written to Parquet as INT96 appear in Spark as 'bigint'

     [ https://issues.apache.org/jira/browse/ARROW-1436?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Licht Takeuchi reassigned ARROW-1436:
-------------------------------------

    Assignee: Licht Takeuchi

> PyArrow Timestamps written to Parquet as INT96 appear in Spark as 'bigint'
> --------------------------------------------------------------------------
>
>                 Key: ARROW-1436
>                 URL: https://issues.apache.org/jira/browse/ARROW-1436
>             Project: Apache Arrow
>          Issue Type: Bug
>          Components: Format, Python
>    Affects Versions: 0.6.0
>            Reporter: Lucas Pickup
>            Assignee: Licht Takeuchi
>             Fix For: 0.8.0
>
>
> When using the 'use_deprecated_int96_timestamps' option to write Parquet files compatible with Spark <2.2.0 (which doesn't support INT64 backed Timestamps) Spark identifies the Timestamp columns as BigInts. Some metadata may be missing.



--
This message was sent by Atlassian JIRA
(v6.4.14#64029)