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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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