Communities
A collaborative platform to connect and grow with like-minded Informaticans across the globe
Product Communities
Connect and collaborate with Informatica experts and champions
Discussions
Have a question? Start a Discussion and get immediate answers you are looking for
User Groups
Customer-organized groups that meet online and in-person. Join today to network, share ideas, and get tips on how to get the most out of Informatica
Get Started
Community Guidelines
Knowledge Center
Troubleshooting documents, product guides, how to videos, best practices, and more
Knowledge Base
One-stop self-service portal for solutions, FAQs, Whitepapers, How Tos, Videos, and more
Support TV
Video channel for step-by-step instructions to use our products, best practices, troubleshooting tips, and much more
Documentation
Information library of the latest product documents
Velocity (Best Practices)
Best practices and use cases from the Implementation team
Learn
Rich resources to help you leverage full capabilities of our products
Trainings
Role-based training programs for the best ROI
Certifications
Get certified on Informatica products. Free, Foundation, or Professional
Product Learning Paths
Free and unlimited modules based on your expertise level and journey
Resources
Library of content to help you leverage the best of Informatica products
Tech Tuesdays Webinars
Most popular webinars on product architecture, best practices, and more
Product Availability Matrix
Product Availability Matrix statements of Informatica products
SupportFlash
Monthly support newsletter
Support Documents
Informatica Support Guide and Statements, Quick Start Guides, and Cloud Product Description Schedule
Product Lifecycle
End of Life statements of Informatica products
Ideas
Events
Change Request Tracking
Marketplace
English
  • Common Content for Data Engineering 10.5.2
  • All Products

Table of Contents

Search

  1. Preface
  2. Introduction to Transformations
  3. Transformation Ports
  4. Transformation Caches
  5. Address Validator Transformation
  6. Aggregator Transformation
  7. Association Transformation
  8. Bad Record Exception Transformation
  9. Case Converter Transformation
  10. Classifier Transformation
  11. Comparison Transformation
  12. Consolidation Transformation
  13. Data Masking Transformation
  14. Data Processor Transformation
  15. Decision Transformation
  16. Duplicate Record Exception Transformation
  17. Expression Transformation
  18. Filter Transformation
  19. Hierarchical to Relational Transformation
  20. Java Transformation
  21. Java Transformation API Reference
  22. Java Expressions
  23. Joiner Transformation
  24. Key Generator Transformation
  25. Labeler Transformation
  26. Lookup Transformation
  27. Lookup Caches
  28. Dynamic Lookup Cache
  29. Macro Transformation
  30. Match Transformation
  31. Match Transformations in Field Analysis
  32. Match Transformations in Identity Analysis
  33. Normalizer Transformation
  34. Merge Transformation
  35. Parser Transformation
  36. Python Transformation
  37. Rank Transformation
  38. Read Transformation
  39. Relational to Hierarchical Transformation
  40. REST Web Service Consumer Transformation
  41. Router Transformation
  42. Sequence Generator Transformation
  43. Sorter Transformation
  44. SQL Transformation
  45. Standardizer Transformation
  46. Union Transformation
  47. Update Strategy Transformation
  48. Web Service Consumer Transformation
  49. Parsing Web Service SOAP Messages
  50. Generating Web Service SOAP Messages
  51. Weighted Average Transformation
  52. Window Transformation
  53. Write Transformation
  54. Appendix A: Transformation Delimiters

Developer Transformation Guide

Developer Transformation Guide

Back Next

Cache Size Increase by the Data Integration Service

Cache Size Increase by the Data Integration Service

The Data Integration Service creates each memory cache based on the configured cache size. In some situations, the Data Integration Service might increase the configured cache size because it requires more cache memory.
The Data Integration Service might increase the configured cache size for one of the following reasons:
Configured cache size is less than the minimum cache size required to process the operation.
The Data Integration Service requires a minimum amount of memory to initialize each mapping. If the configured cache size is less than the minimum required cache size, then the Data Integration Service increases the configured cache size to meet the minimum requirement. If the Data Integration Service cannot allocate the minimum required memory, the mapping fails.
Configured cache size is not a multiple of the cache page size.
The Data Integration Service stores cached data in cache pages. The cached pages must fit evenly into the cache. For example, if you configure 10 MB (1,048,576 bytes) for the cache size and the cache page size is 10,000 bytes, then the Data Integration Service increases the configured cache size to 1,050,000 bytes to make it a multiple of the 10,000-byte page size.
When the Data Integration Service increases the configured cache size, it continues to run the mapping and writes the following messages in the mapping log: 
INFO: MAPPING,	TE_7212,	Increasing [Index Cache] size for transformation <transformation name> from <configured cache size> to <new cache size>.
INFO: MAPPING,	TE_7212,	Increasing [Data Cache] size for transformation <transformation name> from <configured cache size> to <new cache size>.
0 COMMENTS
We’d like to hear from you!