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

Match Transformation Input Ports

Match Transformation Input Ports

The predefined input ports contain the metadata that the transformation requires for match analysis.
After you create a Match transformation, you can configure the following input ports:
SequenceId
Unique identifier for each record in the mapping source data set. Every record in an input data set must include a unique sequence identifier. If a data set contains duplicate sequence identifiers, the Match transformation cannot identify duplicate records correctly. Use the Key Generator transformation to create unique identifiers if none exist in the data.
When you create an index data store for identity data, the Match transformation adds the sequence identifier for each record to the data store. When you configure the transformation to compare a data source with the index data store, the transformation might find a common sequence identifier in both data sets. The transformation can analyze the sequence identifiers if they are unique in the respective data sets.
GroupKey
Key value that identifies the group to which the record belongs.
To improve mapping performance, configure the GroupKey input port and the output port that connects to it with the same precision value.

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