timezone - Spark: converting GMT time stamps to Eastern taking daylight savings into account -


i'm trying convert column of gmt timestamp strings column of timestamps in eastern timezone. want take daylight savings account.

my column of timestamp strings this:

'2017-02-01t10:15:21+00:00'

i figured out how convert string column timestamp in est:

from pyspark.sql import functions f  df2 = df1.withcolumn('datetimegmt', df1.mytimecolumningmt.cast('timestamp')) df3 = df2.withcolumn('datetimeest', f.from_utc_timestamp(df2.datetimegmt, "est"))

but times don't change daylight savings. there function or accounts daylight savings converting timestamps?

edit: think figured out. in from_utc_timestamp call above, needed use "america/new_york" instead of "est":

df3 = df2.withcolumn('datetimeet', f.from_utc_timestamp(df2.datetimegmt, "america/new_york"))

i ended figuring out answer, figured add here. think question/answer worthwhile because while searching issue before posting question, couldn't find daylight savings spark. should have realized should search underlying java functions.

the answer question ended being use string "america/new_york" instead of "est". correctly applies daylight savings.

from pyspark.sql import functions f df3 = df2.withcolumn('datetimeet', f.from_utc_timestamp(df2.datetimegmt, "america/new_york"))

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