convert_timezone

Converts the timestamp without time zone sourceTs from the sourceTz time zone to targetTz.

For the corresponding Databricks SQL function, see convert_timezone function.

Syntax

Python

from pyspark.databricks.sql import functions as dbf

dbf.convert_timezone(sourceTz=<sourceTz>, targetTz=<targetTz>, sourceTs=<sourceTs>)

Parameters

Parameter	Type	Description
sourceTz	pyspark.sql.Column, optional	The time zone for the input timestamp. If it is missed, the current session time zone is used as the source time zone.
targetTz	pyspark.sql.Column	The time zone to which the input timestamp should be converted.
sourceTs	pyspark.sql.Column or str	A timestamp without time zone.

Returns

pyspark.sql.Column: A new column that contains a timestamp for converted time zone.

Examples

Python

spark.conf.set("spark.sql.session.timeZone", "America/Los_Angeles")

Python

from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([('2015-04-08 00:00:00',)], ['ts'])
df.select(
'*',
dbf.convert_timezone(None, dbf.lit('Asia/Hong_Kong'), 'ts')
).show()
df = spark.createDataFrame([('2015-04-08 15:00:00',)], ['ts'])
df.select(
'*',
dbf.convert_timezone(dbf.lit('Asia/Hong_Kong'), dbf.lit('America/Los_Angeles'), df.ts)
).show()
spark.conf.unset("spark.sql.session.timeZone")