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Table of Contents

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  1. Preface
  2. Introduction to Informatica Connector Toolkit
  3. Before you begin
  4. Develop a connector for Cloud Data Integration
  5. Import a connector
  6. Connection attributes
  7. Type system
  8. Connector metadata
  9. Partitioning capability
  10. Manual changes to Informatica Connector Toolkit source code
  11. Runtime behavior
  12. Connector example: MySQL_Cloud
  13. Version control integration
  14. Appendix A: Metadata models
  15. Appendix B: ASO model
  16. Appendix C: Connector project migration
  17. Appendix D: Frequently used generic APIs in Informatica Connector Toolkit
  18. Appendix E: Frequently asked questions

Cloud Data Integration Connector Toolkit Developer Guide

Cloud Data Integration Connector Toolkit Developer Guide

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Partitioning capability

Partitioning capability

You can use the Informatica Connector Toolkit to specify the partition type and implement the partition logic to use when the Cloud Data Integration reads or writes data.
Based on the partition logic you implement for a connector, the Data Integration Service dynamically divides the underlying data into partitions and processes all of the partitions concurrently.
You can specify the following partitioning types for a connector:
Dynamic
A partitioning logic that determines the number of partitions at run time based on the partition information from the data source. If the data source provides partition information, you can use dynamic partitioning to increase the performance of connector read and write operations.
Static
A partitioning logic that is based on the partition information that the user specifies, such as number of partitions or key range. If you require the user to specify the partition information, you can implement fixed partitioning for the connector. If the tables in the data source support key range partitioning, you can add key range partitioning capability for the connector.
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