ip_as_string
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 canonical string representation of an IP address or CIDR block.
For the corresponding SQL function, see ip_as_string function.
Syntax
Python
from pyspark.databricks.sql import functions as dbf
dbf.ip_as_string(col=<col>)
Parameters
Parameter | Type | Description |
|---|---|---|
|
| A STRING or BINARY value representing a valid IPv4 or IPv6 address or CIDR block. |
Examples
Example 1: Convert an IPv4 address to string.
Python
from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([('192.168.1.1',)], ['ip'])
df.select(dbf.ip_as_string('ip').alias('result')).collect()
Output
[Row(result='192.168.1.1')]
Example 2: Convert an IPv6 address to string.
Python
from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([('2001:db8::1',)], ['ip'])
df.select(dbf.ip_as_string('ip').alias('result')).collect()
Output
[Row(result='2001:db8::1')]
Example 3: Convert a CIDR block to string.
Python
from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([('192.168.1.5/24',)], ['cidr'])
df.select(dbf.ip_as_string('cidr').alias('result')).collect()
Output
[Row(result='192.168.1.0/24')]
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_as_string('ip').alias('result')).collect()
Output
[Row(result=None)]