to_unix_timestamp

Returns the UNIX timestamp of the given time.

For the corresponding Databricks SQL function, see to_unix_timestamp function.

Syntax

Python

from pyspark.databricks.sql import functions as dbf

dbf.to_unix_timestamp(timestamp=<timestamp>, format=<format>)

Parameters

Parameter	Type	Description
timestamp	pyspark.sql.Column or str	Input column or strings.
format	pyspark.sql.Column or str, optional	format to use to convert UNIX timestamp values.

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 12:12:12',)], ['ts'])
df.select('*', dbf.to_unix_timestamp('ts')).show()
df = spark.createDataFrame([('2015-04-08',)], ['dt'])
df.select('*', dbf.to_unix_timestamp(df.dt, dbf.lit('yyyy-MM-dd'))).show()
df = spark.createDataFrame(
[('2015-04-08', 'yyyy-MM-dd'), ('2025+01+09', 'yyyy+MM+dd')], ['dt', 'fmt'])
df.select('*', dbf.to_unix_timestamp('dt', 'fmt')).show()
spark.conf.unset("spark.sql.session.timeZone")