Preface
Introduction to Informatica Connector Toolkit
- Supported features
- Informatica Connector perspective
  - Connector Navigator
  - Connector Progress
Before you begin
- Download the welcome kit
- Download and install Eclipse IDE
- Download and install the Informatica Connector Toolkit
- Download OpenJDK and configure environment variables
- Log in to Informatica Intelligent Data Management Cloud
Develop a connector for Cloud Data Integration
- Create a new connector project
- Phase 1: Establish a connection
  - Create a connection
  - Test a connection
- Phase 2: Define the metadata
- Phase 3: Configure the runtime behavior
- Phase 4: Generate the connector package
  - Naming Convention
- Phase 5: Generate and run the test scenarios
  - Generate the test scenarios
    - Configure parameters in test suite file
    - Regenerate a test case
  - Run the test scenarios
    - Unit tests and sanity tests
    - Integration tests
Develop a connector for Data Loader
- Create a new connector project
- Phase 1: Establish a connection
  - Create a connection
  - Test a connection
- Phase 2: Define the metadata
- Phase 3: Configure the runtime behavior
- Phase 4: Generate the connector package
  - Naming Convention-DLT
- Phase 5: Generate and run the test scenarios
  - Generate the test scenarios
    - Configure parameters in test suite file
    - Regenerate a test case
  - Run the test scenarios
    - Unit tests and sanity tests
    - Integration tests
Import a connector
Connection attributes
- Connection attribute properties
Type system
- Native types and semantic categories
  - Native Type Properties
- Cloud Data Integration types
Connector metadata
- Metadata components
- Import dialog box settings
Partitioning capability
- Automatic partitioning
- Static partitioning
Pushdown capability
- Pushdown optimization execution flow
- Classes and methods for pushdown capabilities
Mappings in advanced mode
- Project, classes, and methods
Manual changes to Informatica Connector Toolkit source code
- Code changes for connection pooling
  - Connection Pooling through API
- Code changes for custom query
- Code changes for object path override
- Code changes for pushdown capability
- Code changes for SQL transformation
- Code changes for stored procedures
Runtime behavior
- Runtime Java functions
Connector example: MySQL_Cloud
- MySQL_Cloud Connector requirements
- Building the sample connector
- MySQL_Cloud Connector components
Version control integration
- Git version control integration
  - Prerequisites
  - Build a connector in Git repository
- Perforce version control integration
Appendix A: Metadata models
- Metadata model components
- Metadata patterns
- Features of type A metadata template
Appendix B: ASO model
- ASO model components
- ASO projections
Appendix C: Connector project migration
- Migrate connector project from Windows platform to other platforms
Appendix D: Frequently used generic APIs in Informatica Connector Toolkit
Appendix E: Frequently asked questions

Cloud Data Integration Connector Toolkit Developer Guide

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Introduction to Informatica Connector Toolkit

Use the

Informatica Connector Toolkit

to build a connector that provides connectivity between a data source and Informatica Intelligent Cloud Services.

Although Informatica supports generic ODBC connectivity and allows access to any data source that has a standards-compliant ODBC driver, building a connector by using the

Informatica Connector Toolkit

offers several advantages. In cases where no ODBC driver is available, building a connector by using the

Informatica Connector Toolkit

might be the only solution.

When you use the

Informatica Connector Toolkit

to create a connector, you can build functionality related to the data source. You can preserve data type integrity and metadata lineage of the data source when you retain the type system of the data source and perform optimal data type conversions.

The

Informatica Connector Toolkit

consists of libraries, plug-ins, and sample code to assist you in developing connectors for Informatica Intelligent Cloud Services. You can use the Informatica Connector perspective in the Eclipse IDE to quickly develop a connector in an Eclipse environment.

The Informatica Connector Toolkit simplifies the following processes:

Development. You can use the wizards in the Informatica Connector perspective to rapidly develop a connector. The wizards simplify the use of internal components and dependencies when you develop a connector.

Testing. After you define the connector components, you can test the connection, metadata, and runtime components of the connector.

Deployment. You can deploy the connector on Informatica Intelligent Cloud Services.

The

Informatica Connector Toolkit

API is written in a Java. The connection definition, metadata definition, and run-time interfaces are available in Java.

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Table of Contents

Cloud Data Integration Connector Toolkit Developer Guide

Cloud Data Integration Connector Toolkit Developer Guide

Introduction to Informatica Connector Toolkit

Introduction to Informatica Connector Toolkit