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Table of Contents

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  1. Preface
  2. Working with Transformations
  3. Address Validator Transformation
  4. Aggregator Transformation
  5. Association Transformation
  6. Bad Record Exception Transformation
  7. Case Converter Transformation
  8. Classifier Transformation
  9. Cleanse transformation
  10. Comparison Transformation
  11. Custom Transformation
  12. Custom Transformation Functions
  13. Consolidation Transformation
  14. Data Masking Transformation
  15. Data Masking Examples
  16. Decision Transformation
  17. Duplicate Record Exception Transformation
  18. Dynamic Lookup Cache
  19. Expression Transformation
  20. External Procedure Transformation
  21. Filter Transformation
  22. HTTP Transformation
  23. Identity Resolution Transformation
  24. Java Transformation
  25. Java Transformation API Reference
  26. Java Expressions
  27. Java Transformation Example
  28. Joiner Transformation
  29. Key Generator Transformation
  30. Labeler Transformation
  31. Lookup Transformation
  32. Lookup Caches
  33. Match Transformation
  34. Match Transformations in Field Analysis
  35. Match Transformations in Identity Analysis
  36. Merge Transformation
  37. Normalizer Transformation
  38. Parser Transformation
  39. Rank Transformation
  40. Router Transformation
  41. Sequence Generator Transformation
  42. Sorter Transformation
  43. Source Qualifier Transformation
  44. SQL Transformation
  45. Using the SQL Transformation in a Mapping
  46. Stored Procedure Transformation
  47. Standardizer Transformation
  48. Transaction Control Transformation
  49. Union Transformation
  50. Unstructured Data Transformation
  51. Update Strategy Transformation
  52. Weighted Average Transformation
  53. XML Transformations

Transformation Guide

Transformation Guide

NewLookupRows

NewLookupRows

When you configure a Lookup transformation to use a dynamic cache, the Designer adds the NewLookupRow port to the transformation. The Integration Service assigns a value to the port, depending on the action it performs to the lookup cache.
The following table lists the possible NewLookupRow values:
NewLookupRow Value
Description
0
Integration Service does not update or insert the row in the cache.
1
Integration Service inserts the row into the cache.
2
Integration Service updates the row in the cache.
When the Integration Service reads a row, it changes the lookup cache depending on the results of the lookup query and the Lookup transformation properties you define. It assigns the value 0, 1, or 2 to the NewLookupRow port to indicate if it inserts or updates the row in the cache, or makes no change.
The NewLookupRow value indicates how the Integration Service changes the lookup cache. It does not change the row type. Therefore, use a Filter or Router transformation and an Update Strategy transformation to keep the target table and lookup cache synchronized.
Configure the Filter transformation to pass new and updated rows to the Update Strategy transformation before passing them to the cached target. Use the Update Strategy transformation to change the row type of each row to insert or update, depending on the NewLookupRow value.
You can drop the rows that do not change the cache, or you can pass them to another target.
Define the filter condition in the Filter transformation based on the value of NewLookupRow. For example, use the following condition to pass both inserted and updated rows to the cached target:
NewLookupRow != 0

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