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. 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

Dynamic Lookup Cache and Target Synchronization

Dynamic Lookup Cache and Target Synchronization

Configure downstream transformations to ensure that the dynamic lookup cache and the target are synchronized.
When you use a dynamic lookup cache, the Integration Service writes to the lookup cache before it writes to the target table. The lookup cache and target table can become unsynchronized if the Integration Service does not write the data to the target. For example, the target database might reject the data.
Consider the following guidelines to keep the lookup cache synchronized with the lookup table:
  • Use a Router transformation to pass rows to the cached target when the NewLookupRow value equals one or two.
  • Use the Router transformation to drop rows when the NewLookupRow value equals zero. Or, output the rows to a different target.
  • Use Update Strategy transformations after the Lookup transformation to flag rows for insert or update into the target.
  • Verify that the Lookup transformation outputs the same values to the target that the Integration Service writes to the lookup cache. When you choose to output new values on update, only connect lookup/output ports to the target table instead of
    output
    ports. When you choose to output old values on update, add an Expression transformation after the Lookup transformation and before the Router transformation. Add output ports in the Expression transformation for each port in the target table and create expressions to ensure you do not output null input values to the target.
  • Select Insert and Update as Update when you define the update strategy target table options. This ensures that the Integration Service updates rows marked for update and inserts rows marked for insert.

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