You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2015/07/09 02:55:06 UTC
[jira] [Assigned] (SPARK-6289) PySpark doesn't maintain SQL date
Types
[ https://issues.apache.org/jira/browse/SPARK-6289?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-6289:
-----------------------------------
Assignee: Davies Liu (was: Apache Spark)
> PySpark doesn't maintain SQL date Types
> ---------------------------------------
>
> Key: SPARK-6289
> URL: https://issues.apache.org/jira/browse/SPARK-6289
> Project: Spark
> Issue Type: Bug
> Components: PySpark, SQL
> Affects Versions: 1.2.1
> Reporter: Michael Nazario
> Assignee: Davies Liu
>
> For the DateType, Spark SQL requires a datetime.date in Python. However, if you collect a row based on that type, you'll end up with a returned value which is type datetime.datetime.
> I have tried to reproduce this using the pyspark shell, but have been unable to. This is definitely a problem coming from pyrolite though:
> https://github.com/irmen/Pyrolite/
> Pyrolite is being used for datetime and date serialization, but appears to not map to date objects, but maps to datetime objects.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org