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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

Connect the Output Ports

Connect the Output Ports

Connect the Match transformation output ports to the data target in the mapping. Select the ports that contain the record data that you want to write to the data target.
The transformation includes a series of preset ports for clustered data. Select the preset ports that indicate duplicate status of the records and identify the data source that stores each record.
The following ports contain data that you can use to find duplicate records and determine the source or the records:
  • The
    ClusterSize
    port indicates the number of records in a cluster. If a record belongs to a cluster with a cluster size greater than 1, the transformation considers the record to be a duplicate of another record.
  • The
    ClusterID
    port identifies the cluster that a record belongs to. Use the ClusterID data to find the records that are duplicates of the current record.
  • The
    PersistenceStatus
    port uses a code value to describe the relationship between the index data from the mapping source and the index data in the data store.
  • The
    PersistenceStatusDesc
    port returns a text description of the values on the PersistenceStatus port code.
You can use other ports to review the relationships between the cluster records. The link port values and driver port values indicate the extent of the similarity between the records in each cluster.
In the current example, you connect all the ports to the data target. To view the output data on the ports, run the Data Viewer.

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