Preface
Working with Transformations
- Transformations Overview
- Creating a Transformation
- Configuring Transformations
  - Renaming Transformations
- Transformation Ports
- Multi-Group Transformations
- Working with Expressions
- Local Variables
- Default Values for Ports
- Configuring Tracing Level in Transformations
- Reusable Transformations
Aggregator Transformation
- Aggregator Transformation Overview
- Components of the Aggregator Transformation
  - Configuring Aggregator Transformation Properties
  - Configuring Aggregator Transformation Ports
- Configuring Aggregate Caches
- Aggregate Expressions
- Group By Ports
  - Non-Aggregate Expressions
  - Default Values
- Using Sorted Input
  - Sorted Input Conditions
  - Sorting Data
- Creating an Aggregator Transformation
- Tips for Aggregator Transformations
- Troubleshooting Aggregator Transformations
Custom Transformation
- Custom Transformation Overview
- Creating Custom Transformations
  - Rules and Guidelines for Custom Transformations
  - Custom Transformation Components
- Working with Groups and Ports
- Working with Port Attributes
  - Editing Port Attribute Values
- Custom Transformation Properties
  - Setting the Update Strategy
  - Working with Thread-Specific Procedure Code
- Working with Transaction Control
- Blocking Input Data
- Working with Procedure Properties
- Creating Custom Transformation Procedures
Custom Transformation Functions
- Custom Transformation Functions Overview
  - Working with Handles
- Function Reference
- Working with Rows
  - Rules and Guidelines for Row-Based and Array-Based Data Access Mode
- Generated Functions
- API Functions
- Array-Based API Functions
Data Masking Transformation
- Data Masking transformation
- Masking Properties
  - Locale
  - Masking Types
  - Repeatable Output
  - Seed
  - Mapping Parameters
  - Associated O/P
- Key Masking
  - Masking String Values
  - Masking Numeric Values
  - Masking Datetime Values
- Substitution Masking
  - Dictionaries
  - Storage Tables
    - Encrypting Storage Tables for Substitution Masking
  - Substitution Masking Properties
  - Relational Dictionary
  - Connection Requirements
  - Rules and Guidelines for Substitution Masking
- Dependent Masking
  - Dependent Masking Example
  - Repeatable Dependent Masking
- Random Masking
  - Masking Numeric Values
  - Masking String Values
  - Masking Date Values
- Applying Masking Rules
  - Mask Format
  - Source String Characters
    - Source String Example
  - Result String Replacement Characters
    - Result String Replacement Characters Example
  - Range
  - Blurring
    - Blurring Numeric Values
    - Blurring Date Values
- Expression Masking
  - Repeatable Expression Masking
  - Rules and Guidelines for Expression Masking
- Format Preserving Encryption
- Special Mask Formats
- Social Security Number Masking
  - Social Security Number Format
  - Area Code Requirement
  - Repeatable Social Security Number Masking
- Credit Card Number Masking
- Phone Number Masking
- Email Address Masking
  - Advanced Email Masking
    - Configuration Parameters for an Advanced Email Address Masking Type
    - Expressions for the Advanced Email Address Masking Type
- Social Insurance Number Masking
  - SIN Start Digit
  - Repeatable SIN Numbers
- IP Address Masking
- URL Address Masking
- Default Value File
- Data Masking Transformation Session Properties
- Rules and Guidelines for Data Masking Transformations
Data Masking Examples
- Name and Address Lookup Files
- Substituting Data with the Lookup Transformation
- Masking Data with an Expression Transformation
Expression Transformation
- Expression Transformation Overview
- Expression Transformation Components
- Configuring Ports
  - Calculating Values
- Creating an Expression Transformation
External Procedure Transformation
- External Procedure Transformation Overview
- Configuring External Procedure Transformation Properties
- Developing COM Procedures
- Developing Informatica External Procedures
- Distributing External Procedures
  - Distributing COM Procedures
    - Distributing a COM Visual Basic Procedure
    - Distributing a COM Visual Basic Procedure Manually
  - Distributing Informatica Modules
- Development Notes
- Service Process Variables in Initialization Properties
- External Procedure Interfaces
Filter Transformation
- Filter Transformation Overview
- Filter Transformation Components
  - Configuring Filter Transformation Ports
- Filter Condition
  - Filtering Rows with Null Values
- Steps to Create a Filter Transformation
- Tips for Filter Transformations
HTTP Transformation
- HTTP Transformation Overview
  - Authentication
  - Connecting to the HTTP Server
- Creating an HTTP Transformation
- Configuring the Properties Tab
- Configuring the HTTP Tab
- Examples
Identity Resolution Transformation
- Identity Resolution Transformation Overview
- Create and Configure the Transformation
- Identity Resolution Transformation Tabs
- Groups and Ports
  - Input Groups and Ports
  - Output Groups and Ports
Java Transformation
- Java Transformation Overview
- Using the Java Code Tab
- Configuring Ports
  - Creating Groups and Ports
  - Setting Default Port Values
    - Input and Output Ports
    - Input/Output Ports
- Configuring Java Transformation Properties
  - Working with Transaction Control
    - Transformation Scope
    - Generate Transaction
  - Setting the Update Strategy
- Developing Java Code
- Configuring Java Transformation Settings
- Compiling a Java Transformation
- Fixing Compilation Errors
  - Locating the Source of Compilation Errors
    - Locating Errors in the Code Entry Tabs
    - Locating Errors in the Full Code Window
  - Identifying the Source of Compilation Errors
    - User Code Errors
    - Non-User Code Errors
Java Transformation API Reference
- Java Transformation API Methods Overview
- commit
- failSession
- generateRow
- getInRowType
- getMetadata
- incrementErrorCount
- isNull
- logError
- logInfo
- rollBack
- setNull
- setOutRowType
- storeMetadata
Java Expressions
- Java Expressions Overview
  - Expression Function Types
- Using the Define Expression Dialog Box to Define an Expression
- Working with the Simple Interface
  - invokeJExpression
  - Simple Interface Example
- Working with the Advanced Interface
- JExpression Class API Reference
Java Transformation Example
- Java Transformation Example Overview
- Step 1. Import the Mapping
- Step 2. Create Transformation and Configure Ports
- Step 3. Enter Java Code
- Import Packages Tab
- Helper Code Tab
- On Input Row Tab
- Step 4. Compile the Java Code
- Step 5. Create a Session and Workflow
  - Sample Data
Joiner Transformation
- Joiner Transformation Overview
  - Working with the Joiner Transformation
- Joiner Transformation Properties
- Defining a Join Condition
- Defining the Join Type
- Using Sorted Input
- Joining Data from a Single Source
- Blocking the Source Pipelines
  - Unsorted Joiner Transformation
  - Sorted Joiner Transformation
    - Caching Master Rows
- Working with Transactions
- Creating a Joiner Transformation
- Tips for Joiner Transformations
Lookup Transformation
- Lookup Transformation Overview
- Lookup Source Types
- Connected and Unconnected Lookups
  - Connected Lookups
  - Unconnected Lookups
- Lookup Components
- Lookup Properties
  - Configuring Lookup Properties in a Session
- Lookup Query
- Lookup Condition
- Lookup Caches
- Return Multiple Rows
  - Rules and Guidelines for Returning Multiple Rows
- Configuring Unconnected Lookup Transformations
- Database Deadlock Resilience
- Creating a Lookup Transformation
  - Creating a Reusable Pipeline Lookup Transformation
  - Creating a Non-Reusable Pipeline Lookup Transformation
- Tips for Lookup Transformations
Lookup Caches
- Lookup Caches Overview
  - Cache Comparison
- Building Connected Lookup Caches
  - Sequential Caches
  - Concurrent Caches
- Using a Persistent Lookup Cache
- Working with an Uncached Lookup or Static Cache
- Sharing the Lookup Cache
  - Sharing an Unnamed Lookup Cache
    - Guidelines for Sharing an Unnamed Lookup Cache
  - Sharing a Named Lookup Cache
    - Guidelines for Sharing a Named Lookup Cache
- Tips for Lookup Caches
Dynamic Lookup Cache
- Dynamic Lookup Cache Overview
- Dynamic Lookup Properties
- Lookup Transformation Values
- Dynamic Lookup Cache Updates
  - Insert Else Update
  - Update Else Insert
- Mappings with Dynamic Lookups
- Conditional Dynamic Cache Updates
  - Session Processing
  - Configuring a Conditional Dynamic Cache Lookup
- Dynamic Cache Update with Expression Results
- Synchronizing Cache with the Lookup Source
  - NewLookupRow
  - Configuring Dynamic Cache Synchronization
- Dynamic Lookup Cache Example
- Rules and Guidelines for Dynamic Lookup Caches
Normalizer Transformation
- Normalizer Transformation Overview
- Normalizer Transformation Components
- Normalizer Transformation Generated Keys
  - Storing Generated Key Values
  - Changing the Generated Key Values
- VSAM Normalizer Transformation
- Pipeline Normalizer Transformation
- Using a Normalizer Transformation in a Mapping
  - Generating Key Values
- Troubleshooting Normalizer Transformations
Rank Transformation
- Rank Transformation Overview
- Ports in a Rank Transformation
  - Rank Index
- Defining Groups
- Creating a Rank Transformation
Router Transformation
- Router Transformation Overview
- Working with Groups
- Working with Ports
- Connecting Router Transformations in a Mapping
- Creating a Router Transformation
Sequence Generator Transformation
- Sequence Generator Transformation Overview
- Sequence Generator Ports
  - NEXTVAL Port
    - Create Keys
    - Replace Missing Values
  - CURRVAL
- Sequence Generator Transformation Properties
- Sequence Generator Advanced Properties
  - Reset
- Creating a Sequence Generator Transformation
- Sequence Generator Transformation in a Non-native Environment
  - Sequence Generator Transformation on the Blaze Engine
  - Sequence Generator Transformation on the Spark Engine
Sorter Transformation
- Sorter Transformation Overview
- Sorting Data
- Sorter Transformation Properties
- Creating a Sorter Transformation
Source Qualifier Transformation
- Source Qualifier Transformation Overview
- Source Qualifier Transformation Properties
- Default Query
  - Viewing the Default Query
  - Overriding the Default Query
- Joining Source Data
- Adding an SQL Query
- Entering a User-Defined Join
- Outer Join Support
- Entering a Source Filter
- Using Sorted Ports
- Select Distinct
  - Overriding Select Distinct in the Session
- Adding Pre- and Post-Session SQL Commands
- Creating a Source Qualifier Transformation
  - Creating a Source Qualifier Transformation Manually
  - Configuring Source Qualifier Transformation Options
- Troubleshooting Source Qualifier Transformations
SQL Transformation
- SQL Transformation Overview
- Script Mode
  - Example
  - Rules and Guidelines for Script Mode
- Query Mode
- Connecting to Databases
- Session Processing
- Input Row to Output Row Cardinality
- SQL Transformation Properties
- SQL Statements
- Creating an SQL Transformation
Using the SQL Transformation in a Mapping
- SQL Transformation Example Overview
- Dynamic Update Example
- Dynamic Connection Example
Stored Procedure Transformation
- Stored Procedure Transformation Overview
- Using a Stored Procedure in a Mapping
- Writing a Stored Procedure
  - Sample Stored Procedure
- Creating a Stored Procedure Transformation
- Configuring a Connected Transformation
- Configuring an Unconnected Transformation
  - Calling a Stored Procedure From an Expression
  - Calling a Pre- or Post-Session Stored Procedure
- Error Handling
- Stored Procedure Options
- Expression Rules
- Tips for Stored Procedure Transformations
- Troubleshooting Stored Procedure Transformations
Transaction Control Transformation
- Transaction Control Transformation Overview
- Transaction Control Transformation Properties
  - Properties Tab
  - Example
- Using Transaction Control Transformations in Mappings
  - Sample Transaction Control Mappings with Multiple Targets
- Mapping Guidelines and Validation
- Creating a Transaction Control Transformation
Union Transformation
- Union Transformation Overview
  - Rules and Guidelines for Union Transformations
  - Union Transformation Components
- Working with Groups and Ports
- Creating a Union Transformation
- Using a Union Transformation in a Mapping
Unstructured Data Transformation
- Unstructured Data Transformation Overview
- Configuring the Unstructured Data Option
  - Configuring the Data Transformation Repository Directory
- Data Transformation Service Types
- Unstructured Data Transformation Components
- Unstructured Data Transformation Ports
- Unstructured Data Transformation Service Names
- Relational Hierarchies
  - Exporting the Hierarchy Schema
- Mappings
- Creating an Unstructured Data Transformation
Update Strategy Transformation
- Update Strategy Transformation Overview
  - Setting the Update Strategy
- Flagging Rows Within a Mapping
- Setting the Update Strategy for a Session
  - Specifying an Operation for All Rows
  - Specifying Operations for Individual Target Tables
- Update Strategy Checklist
XML Transformations
- XML Source Qualifier Transformation
- XML Parser Transformation
- XML Generator Transformation

Transformation Guide

10.5
- 10.5.1
- 10.4.0

Back Next

Substituting Data with the Lookup Transformation

You can substitute a column of data with similar but unrelated data. Substitution is an effective way to mask sensitive data with a realistic looking data.

The following example shows how to configure multiple Lookup transformations to retrieve test data and substitute it for source data. Create a Data Masking mapping to mask the sensitive fields in CUSTOMERS_PROD table.

The example includes the following types of masking:

Name and address substitution from Lookup tables

Key masking

Blurring

Special mask formats

This example is the M_CUSTOMERS_MASKING.xml mapping that you can import to your repository from the

client\samples

folder.

A customer database table called Customers_Prod contains sensitive data. You want to use the customer data in a test scenario, but you want to maintain security. You mask the data in each column and write the test data to a target table called Customers_Test.

The Customers_Prod table contains the following columns:

Column	Datatype
CustID	Integer
FullName	String
Address	String
Phone	String
Fax	String
CreatedDate	Date
Email	String
SSN	String
CreditCard	String

You can create a mapping that looks up substitute values in dictionary files. The Data Masking transformation masks the customer data with values from the dictionary files. The files include a first name file, a surname file, and an address file.

The following table lists the files that are located in the

server\infa_shared\LkpFiles

folder:

File	Number of Records	Fields	Description
Firstnames.dic	21,000	SNO, Gender, Firstname	Alphabetical list of first names. The serial number goes from 1 to 21,000. Gender indicates whether the name is male or female.
Surnames.dic	81,000	SNO, Surname	Alphabetical list of last names. The serial number goes from 1 to 81,000.
Address.dic	13,000	SNO, Street, City, State, Zip, Country	List of complete addresses. The serial number goes from 1 to 13,000.

Informatica includes the gender column in the Firstnames.dic file so you can create separate lookup source files by gender. You can use the gender column in a lookup condition if you need to mask with a male name and a female name with a female name.

The following figure shows the mapping that you can import:

The mapping has the following transformations along with a source and target:

Source Qualifier.
Passes customer data to the Data Masking transformation. It passes the CustID column to multiple ports in the transformation
:

CustID
. Customer number.

Randid1
. Random number generator for first name lookups.

Randid2
. Random number generator for last name lookups.

Randid3
. Random number generator for address lookups.

Data Masking transformation.
Creates random numbers to look up the replacement first name, last name, and address. Applies special mask formats to the phone number, fax, email address, and credit card number. The Data Masking transformation masks the following columns:

Input Port	Masking Type	Masking Rules	Description	Output Destination
CustID	Key	Seed = 934	CustID is the primary key column. It must be masked with a random number that is repeatable and deterministic.	Customers_Test
Randid1	Random	Range Minimum = 0 Maximum = 21000	Random number for first name lookup in the LKUP_Firstnames transformation.	LKUP_Firstnames
Randid2	Random	Range Minimum = 0 Maximum = 13000	Random number for last name lookup in the LKUP_Surnames transformation.	LKUP_Surnames
Randid3	Random	Range Minimum = 0 Maximum = 81000	Random number for address lookup in the LKUP_Address transformation.	LKUP_Address
Phone	Phone	-	Phone number has the same format as the source phone number.	Customers_Test
Fax	Phone	-	Phone number has the same format as the source phone number.	Customers_Test
CreatedDate	Random	Blurring Unit = Year Low Bound = 1 High Bound = 1	Random date that is within a year of the source year.	Customers_Test
Email	Email Address	-	Email address has the same format as the original.	Customers_Test
SSN	SSN	-	SSN is not in the highgroup.txt file.	Customers_Test
CreditCard	Credit Card	-	Credit card has the same first six digits as the source and has a valid checksum.	Customers_Test

LKUP_Firstnames.
Performs a flat file lookup on Firstnames.dic. The transformation retrieves the record with the serial number equal to the random number Randid1. The lookup condition is:

SNO = out_RANDID1

The LKUP_Firstnames transformation passes the masked first name to the Exptrans Expression transformation.

LKUP_Surnames.
Performs a flat file lookup on the Surnames.dic file. It retrieves the record with the serial number equal to Randid2. The LKUP_Firstnames transformation passes a masked last name to the Exptrans Expression transformation
.

Exptrans.
Combines the first and last name and returns a full name. The Expression transformation passes the full name to the Customers_Test target
.

The Expression to combine the first and last names is:

FIRSTNAME || ' ' || SURNAME

LKUP_Address
. Performs a flat file lookup on the Address.dic file. It retrieves the address record with the serial number equal to Randid3. The Lookup transformation passes the columns in the address to the target.

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Table of Contents

Transformation Guide

Transformation Guide

Substituting Data with the Lookup Transformation

Substituting Data with the Lookup Transformation