Validate Address¶
This node validate the USA address
Input¶
It accepts a DataFrame as input from the previous Node
Output¶
A new column isValidAddress is added which contains valid or inValid values
Type¶
transform
Class¶
fire.nodes.etl.NodeValidateAddress
Fields¶
Name |
Title |
Description |
|---|---|---|
inputColName |
Input Column Name |
input column name |
Details¶
Address Validation Node Details¶
This node validates an address.
It creates a new Dataframe by adding a column stating where Address Column contains valid address or not.
Some of the valid address formats are as below:
123 xyx avenue
1/1 block-D street
Examples¶
Address Validation Node Examples¶
Incoming Dataframe has following rows:
CUST_CD | Address
-----------------------------------
CUST001 | 123 xyx avenue
CUST002 | abc 986 street
CUST003 | 1/1 block-D street
CUST004 | 123 9876block park
If ValidateAddress node is configured to validate address mentioned in [Address] column then outgoing Dataframe would be created as below:
CUST_CD | Address | isValidAddress
--------------------------------------------------------------
CUST001 | 123 xyx avenue | valid
CUST002 | abc 986 street | inValid
CUST003 | 1/1 block-D street | valid
CUST004 | 123 9876block park | inValid