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

Field Match Advanced Properties

Field Match Advanced Properties

The transformation includes advanced properties that determine the number of execution instances, how the transformation analyzes identical rows, and the tracing level for log data.
You can configure the following advanced properties:
Execution Instances
Determines the number of threads that the transformation uses at run time.
The Match transformation uses a single execution instance in field match analysis. You can edit the number of execution instances when you configure the transformation for identity match analysis.
Filter Exact Match
Determines whether the transformation applies the comparison algorithm in a match strategy to pairs of identical records in the input data.
When the transformation finds a pair of identical records, the algorithm does not need to analyze the levels of similarity between the records. The transformation can pass the records directly to the output stage without additional analysis. To configure the transformation to pass the identical records directly to the output stage, select Filter Exact Match. When the input data contains many identical rows, the comparison algorithm performs fewer calculations, and the mapping runs faster.
Select the option when the input data contains many identical rows. Do not select the option if the input data does not contain many identical rows, as the transformation might run more slowly.
The transformation output contains the same record data when you select or clear the option. The transformation might assign different link scores and driver scores to the output records when you select and clear the option.
Tracing Level
Amount of detail that appears in the log for this transformation. You can choose terse, normal, verbose initialization, or verbose data. Default is normal.

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