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Posted to issues@spark.apache.org by "Kevin Cox (JIRA)" <ji...@apache.org> on 2015/08/21 23:55:46 UTC
[jira] [Created] (SPARK-10162) PySpark filters with datetimes mess
up when datetimes have timezones.
Kevin Cox created SPARK-10162:
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Summary: 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
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