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  • Informatica Data Quality 10.5
  • All Products

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

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Duplicate Record Exception Transformation Overview

Duplicate Record Exception Transformation Overview

The Duplicate Record Exception transformation is an active transformation that reads the output of a data quality process and identifies duplicate records that require manual review. The Duplicate Record Exception transformation is a multiple-group transformation.
The Duplicate Record Exception transformation receives input from another transformation or from a data object in another mapping. The input to the Exception transformation must contain a numeric match score that the transformation can use to determine if the record is a duplicate. Set an upper and lower match score threshold in the Duplicate Record Exception transformation.
The Duplicate Record Exception transformation performs one of the following actions:
  • If the match score is greater than or equal to the upper threshold, the transformation treats the record as a duplicate and writes it to a database target.
  • If the match score is less than the upper threshold and greater than the lower threshold the transformation treats the record as a possible duplicate and writes it to a the record to a different target for manual review. If the record belongs to a cluster, the transformation writes all records in the cluster to the target.
  • When a cluster has any match score less than the lower threshold, all records in the cluster go to the unique records output group. Clusters of size 1 are routed to the unique group, regardless of match score. By default, the Exception transformation does not write unique records to a target. You can configure the transformation to return the unique records.
  • If any match score in a cluster is not in the range 0 - 100, the Exception transformation ignores all rows in the cluster. The Data Integration Service logs a message that includes the clusterID.
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