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  • Informatica Data Quality 10.4.0
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Table of Contents

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  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. Match Transformation
  30. Match Transformations in Field Analysis
  31. Match Transformations in Identity Analysis
  32. Normalizer Transformation
  33. Merge Transformation
  34. Parser Transformation
  35. Python Transformation
  36. Rank Transformation
  37. Read Transformation
  38. Relational to Hierarchical Transformation
  39. REST Web Service Consumer Transformation
  40. Router Transformation
  41. Sequence Generator Transformation
  42. Sorter Transformation
  43. SQL Transformation
  44. Standardizer Transformation
  45. Union Transformation
  46. Update Strategy Transformation
  47. Web Service Consumer Transformation
  48. Parsing Web Service SOAP Messages
  49. Generating Web Service SOAP Messages
  50. Weighted Average Transformation
  51. Window Transformation
  52. Write Transformation
  53. Appendix A: Transformation Delimiters

Developer Transformation Guide

Developer Transformation Guide

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Rebuilding a Persistent Lookup Cache

Rebuilding a Persistent Lookup Cache

You can configure the Integration Service to rebuild the persistent lookup cache. In some cases, the Integration Service will rebuild the persistent lookup cache even if you do not configure it to.
Consider the following rules and guidelines when you rebuild a persistent lookup cache:
  • Rebuild a persistent lookup cache if the lookup source changed since the last time the Integration Service built the cache.
  • You can rebuild the cache when the mapping contains one or more Lookup transformations that share a cache.
  • If the lookup table does not change between mapping runs, configure the Lookup transformation to use a persistent lookup cache. The Integration Service saves and reuses cache files, eliminating the time required to read the lookup table.
  • If you configure subsequent Lookup transformations to rebuild the lookup cache, the Integration Service shares the cache instead of rebuilding the cache when it processes the subsequent Lookup transformation.
  • If a mapping contains two persistent lookups and you configure the second Lookup transformation to rebuild the cache, then the Integration Service rebuilds the persistent lookup cache for both.
The Integration Service rebuilds the persistent lookup cache in the following scenarios:
  • The Integration Service cannot find the cache files.
  • The Integration Service cannot reuse the cache. In this instance, it either rebuilds the lookup cache or fails the mapping.
  • You enable or disable high precision for the Integration Service.
  • You edit the Lookup transformation or the mapping.
    The Integration Service does not rebuild the cache if you edit the transformation description.
  • You change the number of partitions.
  • You change the database connection or the file location used to access the lookup source.
  • You change the sort order in Unicode mode.
  • You change the Integration Service code page.
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