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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VSAM Normalizer Transformation

The VSAM Normalizer transformation is the source qualifier for a COBOL source definition. A COBOL source is a flat file that can contain multiple-occurring data and multiple types of records in the same file.

VSAM (Virtual Storage Access Method) is a file access method for an IBM mainframe operating system. VSAM files organize records in indexed or sequential flat files. However, you can use the VSAM Normalizer transformation for any flat file source that you define with a COBOL source definition.

A COBOL source definition can have an OCCURS statement that defines a multiple-occurring column. The COBOL source definition can also contain a REDEFINES statement to define more than one type of record in the file.

The following COBOL copybook defines a sales record:

01 SALES_RECORD.
     03  HDR_DATA.
               05  HDR_REC_TYPE            PIC X.
               05  HDR_STORE               PIC X(02).
     03  STORE_DATA.
               05  STORE_NAME         PIC X(30).
               05  STORE_ADDR1        PIC X(30).
               05  STORE_CITY         PIC X(30).
     03  DETAIL_DATA REDEFINES STORE_DATA.
               05  DETAIL_ITEM             PIC 9(9).
               05  DETAIL_DESC             PIC X(30).
               05  DETAIL_PRICE            PIC 9(4)V99.
               05  DETAIL_QTY              PIC 9(5).
               05  SUPPLIER_INFO OCCURS 4 TIMES.
                   10  SUPPLIER_CODE       PIC XX.
                   10  SUPPLIER_NAME       PIC X(8).

The sales file can contain two types of sales records. Store_Data defines a store and Detail_Data defines merchandise sold in the store. The REDEFINES clause indicates that Detail_Data fields might occur in a record instead of Store_Data fields.

The first three characters of each sales record is the header. The header includes a record type and a store ID. The value of Hdr_Rec_Type defines whether the rest of the record contains store information or merchandise information. For example, when Hdr_Rec_Type is “S,” the record contains store data. When Hdr_Rec_Type is “D,” the record contains detail data.

When the record contains detail data, it includes the Supplier_Info fields. The OCCURS clause defines four suppliers in each Detail_Data record.

The following figure shows the Sales_File COBOL source definition that you might create from the COBOL copybook:

The Sales_File COBOL source definition shows the port name, level, occurs, datatype, and length columns.

The Sales_Rec, Hdr_Data, Store_Data, Detail_Data, and Supplier_Info columns are group-level columns that identify groups of lower level data. Group-level columns have a length of zero because they contain no data. None of these columns are output ports in the source definition.

The Supplier_Info group contains Supplier_Code and Supplier_Name columns. The Supplier_Info group occurs four times in each Detail_Data record.

When you create a VSAM Normalizer transformation from the COBOL source definition, the Mapping Designer creates the input/output ports in the Normalizer transformation based on the COBOL source definition. The Normalizer transformation contains at least one generated key output port. When the COBOL source has multiple-occurring columns, the Normalizer transformation has a generated column ID output port.

The following figure shows the Normalizer transformation ports the Mapping Designer creates from the source definition:

The Normalizer transformation ports are HDR_REC_TYPE, HDR_STORE, BODY_STORE_NAME, BODY_STORE_ADDR1, BODY_STORE_CITY, DETAIL_ITEM, DETAIL_DESC, DETAIL_PRICE, DETAIL_QTY, SUPPLIER_CODE, and SUPPLIER_NAME.

The Supplier_Info group of columns occurs four times in each COBOL source row.

The COBOL source row might contain the following data:

Item1 ItemDesc 100 25 A Supplier1 B Supplier2 C Supplier3 D Supplier4

The Normalizer transformation returns a row for each occurrence of the Supplier_Code and Supplier_Name columns. Each output row contains the same item, description, price, and quantity values.

The Normalizer returns the following detail data rows from the COBOL source row:

Item1 ItemDesc 100 25 A Supplier1 1 1
Item1 ItemDesc 100 25 B Supplier2 1 2
Item1 ItemDesc 100 25 C Supplier3 1 3
Item1 ItemDesc 100 25 D Supplier4 1 4

Each output row contains a generated key and a column ID. The Integration Service updates the generated key value when it processes a new source row. In the detail data rows, the generated key value is 1.

The column ID defines the Supplier_Info column occurrence number. The Integration Service updates the column ID for each occurrence of the Supplier_Info. The column ID values are 1, 2, 3, 4 in the detail data rows.

Normalizer Transformation

VSAM Normalizer Ports Tab

VSAM Normalizer Tab

Steps to Create a VSAM Normalizer Transformation

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