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Posted to issues@spark.apache.org by "Anton Daitche (Jira)" <ji...@apache.org> on 2020/01/24 10:19:00 UTC
[jira] [Created] (SPARK-30632) to_timestamp() doesn't work with
certain timezones
Anton Daitche created SPARK-30632:
-------------------------------------
Summary: to_timestamp() doesn't work with certain timezones
Key: SPARK-30632
URL: https://issues.apache.org/jira/browse/SPARK-30632
Project: Spark
Issue Type: Bug
Components: Spark Core
Affects Versions: 2.4.4, 2.3.0
Reporter: Anton Daitche
It seams that to_timestamp() doesn't work with timezones of the type <Country>/<City>, e.g. America/Los_Angeles.
The code
{code:scala}
val df = Seq(
("2019-01-24 11:30:00.123", "America/Los_Angeles"),
("2020-01-01 01:30:00.123", "PST")
).toDF("ts_str", "tz_name")
val ts_parsed = to_timestamp(
concat_ws(" ", $"ts_str", $"tz_name"), "yyyy-MM-dd HH:mm:ss.SSS z"
).as("timestamp")
df.select(ts_parsed).show(false)
{code}
prints
{code}
+-------------------+
|timestamp |
+-------------------+
|null |
|2020-01-01 10:30:00|
+-------------------+
{code}
So, the datetime string with timezone PST is properly parsed, whereas the one with America/Los_Angeles is converted to null. According to [this|https://github.com/apache/spark/pull/24195#issuecomment-578055146] response on GitHub, this code works when run on the recent master version.
See also the discussion in [this|https://github.com/apache/spark/pull/24195#issue] issue for more context.
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