You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Kevin Cox (JIRA)" <ji...@apache.org> on 2015/08/22 00:05:45 UTC
[jira] [Commented] (SPARK-10162) PySpark filters with datetimes
mess up when datetimes have timezones.
[ https://issues.apache.org/jira/browse/SPARK-10162?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14707526#comment-14707526 ]
Kevin Cox commented on SPARK-10162:
-----------------------------------
This is probably because the filter argument is never passed though `TimestampType.toInternal()` which I have monkey patched to handle timezones properly.
> PySpark filters with datetimes mess up when datetimes have timezones.
> ---------------------------------------------------------------------
>
> Key: SPARK-10162
> URL: https://issues.apache.org/jira/browse/SPARK-10162
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Reporter: Kevin Cox
>
> PySpark appears to ignore timezone information when filtering on (and working in general with) datetimes.
> Please see the example below. The generated filter in the query plan is 5 hours off (my computer is EST).
> {code}
> In [1]: df = sc.sql.createDataFrame([], StructType([StructField("dt", TimestampType())]))
> In [2]: df.filter(df.dt > datetime(2000, 01, 01, tzinfo=UTC)).explain()
> Filter (dt#9 > 946702800000000)
> Scan PhysicalRDD[dt#9]
> {code}
> Note that 946702800000000 == Sat 1 Jan 2000 05:00:00 UTC
--
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