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
- Key Masking
- Substitution Masking
- Dependent Masking
  - Dependent Masking Example
  - Repeatable Dependent Masking
- Random Masking
- Applying Masking Rules
- Expression Masking
  - Repeatable Expression Masking
  - Rules and Guidelines for Expression Masking
- Special Mask Formats
- 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

10.4.0
- 10.5.6
- 10.5.1
- 10.5

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Normalizer Transformation Overview

The Normalizer transformation receives a row that contains multiple-occurring columns and returns a row for each instance of the multiple-occurring data. The transformation processes multiple-occurring columns or multiple-occurring groups of columns in each source row. The Normalizer transformation is an active transformation.

The Normalizer transformation parses multiple-occurring columns from COBOL sources, relational tables, or other sources. It can process multiple record types from a COBOL source that contains a REDEFINES clause.

For example, you might have a relational table that stores four quarters of sales by store. You need to create a row for each sales occurrence. You can configure a Normalizer transformation to return a separate row for each quarter.

The following source rows contain four quarters of sales by store:

Store1 100 300 500 700
Store2 250 450 650 850

The Normalizer returns a row for each store and sales combination. It also returns an index that identifies the quarter number:

Store1 100 1
Store1 300 2
Store1 500 3
Store1 700 4
Store2 250 1
Store2 450 2
Store2 650 3
Store2 850 4

The Normalizer transformation generates a key for each source row. The Integration Service increments the generated key sequence number each time it processes a source row. When the source row contains a multiple-occurring column or a multiple-occurring group of columns, the Normalizer transformation returns a row for each occurrence. Each row contains the same generated key value.

When the Normalizer returns multiple rows from a source row, it returns duplicate data for single-occurring source columns. For example, Store1 and Store2 repeat for each instance of sales.

You can create a VSAM Normalizer transformation or a pipeline Normalizer transformation:

VSAM Normalizer transformation.
A non-reusable transformation that is a Source Qualifier transformation for a COBOL source. The Mapping Designer creates VSAM Normalizer columns from a COBOL source in a mapping. The column attributes are read-only. The VSAM Normalizer receives a multiple-occurring source column through one input port.

Pipeline Normalizer transformation.
A transformation that processes multiple-occurring data from relational tables or flat files. You create the columns manually and edit them in the Transformation Developer or Mapping Designer. The pipeline Normalizer transformation represents multiple-occurring columns with one input port for each source column occurrence.

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Table of Contents

Transformation Guide

Transformation Guide

Normalizer Transformation Overview

Normalizer Transformation Overview