Table of Contents

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  1. Preface
  2. Analyst Service
  3. Catalog Service
  4. Content Management Service
  5. Data Integration Service
  6. Data Integration Service Architecture
  7. Data Integration Service Management
  8. Data Integration Service Grid
  9. Data Integration Service REST API
  10. Data Integration Service Applications
  11. Data Privacy Management Service
  12. Enterprise Data Preparation Service
  13. Interactive Data Preparation Service
  14. Informatica Cluster Service
  15. Mass Ingestion Service
  16. Metadata Access Service
  17. Metadata Manager Service
  18. Model Repository Service
  19. PowerCenter Integration Service
  20. PowerCenter Integration Service Architecture
  21. High Availability for the PowerCenter Integration Service
  22. PowerCenter Repository Service
  23. PowerCenter Repository Management
  24. PowerExchange Listener Service
  25. PowerExchange Logger Service
  26. SAP BW Service
  27. Search Service
  28. System Services
  29. Test Data Manager Service
  30. Test Data Warehouse Service
  31. Web Services Hub
  32. Application Service Upgrade
  33. Appendix A: Application Service Databases
  34. Appendix B: Connecting to Databases from Windows
  35. Appendix C: Connecting to Databases from UNIX or Linux
  36. Appendix D: Updating the DynamicSections Parameter of a DB2 Database

Logical Data Transformation Manager

Logical Data Transformation Manager

The logical Data Transformation Manager (LDTM) optimizes and compiles jobs.
The LDTM can perform the following optimizations:
Filter data to reduce the number of rows to be processed.
The LDTM applies optimization methods to filter data and reduce the number of rows to be processed. For example, the LDTM can use early selection optimization to move a filter closer to the source. It can use pushdown optimization to push transformation logic to a database. It can use the cost-based optimization method to change the join processing order. When you develop a mapping, you can choose an optimizer level that determines which optimization methods the LDTM can apply to the mapping.
Determine the partitioning strategy to maximize parallel processing.
If you have the partitioning option, the Data Integration Service can maximize parallelism for mappings and profiles. The LDTM dynamically determines the optimal number of partitions for each pipeline stage and the best way to redistribute data across each partition point.
Determine the data movement mode to optimize processing of ASCII characters.
The LDTM determines whether to use the ASCII or Unicode data movement mode for mappings that read from a flat file or relational source. The LDTM determines the data movement mode based on the character sets that the mapping processes. When a mapping processes all ASCII data, the LDTM selects the ASCII mode. In ASCII mode, the Data Integration Service uses use one byte to store each character, which can optimize mapping performance. In Unicode mode, the service uses two bytes for each character.
After optimizing a mapping, the LDTM compiles the optimized mapping and makes it available to the execution Data Transformation Manager (DTM) to run.