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Returns the date that is days days after start. If days is a negative value then these amount of days will be deducted from start.
For the corresponding Databricks SQL function, see date_add (days) function.
Syntax
from pyspark.databricks.sql import functions as dbf
dbf.date_add(start=<start>, days=<days>)
Parameters
| Parameter | Type | Description |
|---|---|---|
start |
pyspark.sql.Column or str |
date column to work on. |
days |
pyspark.sql.Column or str or int |
how many days after the given date to calculate. Accepts negative value as well to calculate backwards in time. |
Returns
pyspark.sql.Column: a date after/before given number of days.
Examples
from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([('2015-04-08', 2,)], 'struct<dt:string,a:int>')
df.select('*', dbf.date_add(df.dt, 1)).show()
df.select('*', dbf.date_add('dt', 'a')).show()
df.select('*', dbf.date_add('dt', dbf.lit(-1))).show()