Table of Contents

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  1. Preface
  2. Analyst Service
  3. Content Management Service
  4. Data Integration Service
  5. Data Integration Service Architecture
  6. Data Integration Service Management
  7. Data Integration Service Grid
  8. Data Integration Service Applications
  9. Mass Ingestion Service
  10. Metadata Access Service
  11. Metadata Manager Service
  12. Model Repository Service
  13. PowerCenter Integration Service
  14. PowerCenter Integration Service Architecture
  15. High Availability for the PowerCenter Integration Service
  16. PowerCenter Repository Service
  17. PowerCenter Repository Management
  18. PowerExchange Listener Service
  19. PowerExchange Logger Service
  20. SAP BW Service
  21. Search Service
  22. System Services
  23. Test Data Manager Service
  24. Test Data Warehouse Service
  25. Web Services Hub
  26. Application Service Upgrade
  27. Application Service Databases
  28. Connecting to Databases from Windows
  29. Connecting to Databases from UNIX
  30. Updating the DynamicSections Parameter of a DB2 Database

Model Repository Cache Processing

Model Repository Cache Processing

When the cache process starts, the Model Repository Service stores each object it reads in memory. When the Model Repository Service gets a request for an object from a client application, the Model Repository Service compares the object in memory with the object in the repository. If the latest version of the object is not in memory, the Model repository updates the cache and then returns the object to the client application that requested the object. When the amount of memory allocated to cache is full, the Model Repository Service deletes the cache for least recently used objects to allocate space for another object.
The Model Repository Service cache process runs as a separate process. The Java Virtual Manager (JVM) that runs the Model Repository Service is not affected by the JVM options you configure for the Model Repository Service cache.