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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

Duplicate Record Exception Transformation Output Ports

Duplicate Record Exception Transformation Output Ports

The Duplicate Record Exception transformation has multiple output groups. By default, the transformation writes duplicate records to the
Standard Output
group. The transformation writes potential matches to the
Cluster Data
group. You can add an output group for unique records.
You can change the record types that the transformation writes to output ports by changing the default settings on the
Configuration
view.
The following table describes the output ports for the
Standard Output
group:
Port
Description
Score
Decimal value between 0 and 1. Identifies the degree of similarity between the record and another record in a cluster.
Row_Identifier
A unique identifier for the record.
Cluster_ID
ID of the cluster that the Match transformation assigned the record to.
User-defined ports
The source data fields.
The following table describes the output ports in the
Cluster Data
group:
Port
Description
Row_Identifier
The unique identifier for the record.
Sequential_Cluster_ID
Identifies the cluster in a Human task. A workflow uses the sequential cluster ID to assign a cluster to an instance of a Human task.
Cluster_ID
Identifies the cluster that the record belongs to. The Match transformation assigns a cluster ID to all records.
Score
Decimal value from 0 to 1. Identifies the degree of similarity with the record that linked the record to the cluster.
Is_Master
String value that indicates if the record is the preferred record in the cluster. By default, the first row in the cluster is the preferred record. Value is Y or N.
Workflow_ID
ID that identifies the workflow for the record in a task. When you run the mapping outside of a workflow, the workflow ID is DummyWorkflowID.
User-defined ports
The source data ports.

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