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

Application Service Guide

Application Service Guide

Optimize Cache and Target Directories for Partitioning

Optimize Cache and Target Directories for Partitioning

For optimal performance during cache partitioning for Aggregator, Joiner, Rank, and Sorter transformations, configure multiple cache directories for the Data Integration Service. For optimal performance when multiple threads write to a file target, configure multiple target directories for the Data Integration Service.
When multiple threads write to a single directory, the mapping might encounter a bottleneck due to input/output (I/O) contention. An I/O contention can occur when threads write data to the file system at the same time.
When you configure multiple directories, the Data Integration Service determines the output directory for each thread in a round-robin fashion. For example, you configure a flat file data object to use directoryA and directoryB as target directories. If the Data Integration Service uses four threads to write to the file target, the first and third writer threads write target files to directoryA. The second and fourth writer threads write target files to directoryB.
If the Data Integration Service does not use cache partitioning for transformations or does not use multiple threads to write to the target, the service writes the files to the first listed directory.
In the Administrator tool, you configure multiple cache and target directories by entering multiple directories separated by semicolons for the Data Integration Service execution properties. Configure the directories in the following execution properties:
Cache Directory
Defines the cache directories for Aggregator, Joiner, and Rank transformations. By default, the transformations use the CacheDir system parameter to access the cache directory value defined for the Data Integration Service.
Temporary Directories
Defines the cache directories for Sorter transformations. By default, the Sorter transformation uses the TempDir system parameter to access the temporary directory value defined for the Data Integration Service.
Target Directory
Defines the target directories for flat file targets. By default, flat file targets use the TargetDir system parameter to access the target directory value defined for the Data Integration Service.
Instead of using the default system parameters, developers can configure multiple directories specific to the transformation or flat file data object in the Developer tool.
A Lookup transformation can only use a single cache directory.

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