date_diff

Returns the number of days from start to end.

For the corresponding Databricks SQL function, see date_diff function.

Syntax

Python

from pyspark.databricks.sql import functions as dbf

dbf.date_diff(end=<end>, start=<start>)

Parameters

Parameter	Type	Description
end	pyspark.sql.Column or str	to date column to work on.
start	pyspark.sql.Column or str	from date column to work on.

Returns

pyspark.sql.Column: difference in days between two dates.

Examples

Python

from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([('2015-04-08','2015-05-10')], ['d1', 'd2'])
df.select('*', dbf.date_diff('d1', 'd2')).show()
df.select('*', dbf.date_diff(df.d2, df.d1)).show()