ip_version
Applies to: 
Databricks Runtime 18.2 and above
Beta
This feature is in Beta. Workspace admins can control access to this feature from the Previews page. See Manage Databricks previews.
Returns the IP version (4 or 6) from an IPv4 or IPv6 address or CIDR block.
For the corresponding SQL function, see ip_version function.
Syntax
Python
from pyspark.databricks.sql import functions as dbf
dbf.ip_version(col=<col>)
Parameters
Parameter | Type | Description |
|---|---|---|
|
| A STRING or BINARY value representing a valid IPv4 or IPv6 address or CIDR block. |
Examples
Example 1: Get version from an IPv4 address.
Python
from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([('192.168.1.5',)], ['ip'])
df.select(dbf.ip_version('ip').alias('result')).collect()
Output
[Row(result=4)]
Example 2: Get version from an IPv6 address.
Python
from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([('2001:db8::1',)], ['ip'])
df.select(dbf.ip_version('ip').alias('result')).collect()
Output
[Row(result=6)]
Example 3: Get version from a CIDR block.
Python
from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([('192.168.1.0/24',)], ['cidr'])
df.select(dbf.ip_version('cidr').alias('result')).collect()
Output
[Row(result=4)]
Example 4: None input returns None.
Python
from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([(None,)], 'ip: string')
df.select(dbf.ip_version('ip').alias('result')).collect()
Output
[Row(result=None)]