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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

Match Mapping Performance

Match Mapping Performance

You can preview the data factors that determine the performance of the Match transformation before you run the mapping that contains the transformation. You can verify that the system has the resources to run the mapping. You can also verify that you configured the transformation correctly to measure the levels of similarity in the input data.
Use the
Match Performance Analysis
option to verify that the system has the required resources. Use the
Match Cluster Analysis
option to verify that the mapping can accurately measure the levels of similarity in the input data.
Run match performance analysis and match cluster analysis on any Match transformation that reads a single data source. Run match performance analysis on any Match transformation that performs dual-source field match analysis. Do not run match performance analysis or match cluster analysis on an identity match strategy that connects to index tables.

Drill-down on Match Performance Analysis

You can drill down on the match analysis data to view the record pairs that meet or exceed the match threshold. Double-click a record in the
Details
view, and use the Data Viewer to view the records that match the record that you select. The Data Viewer displays the data for each pair of records on a single row. The row contains the row identifier of each record in the pair.

Drill-down on Match Cluster Analysis

You can drill down on the cluster analysis data to view the records in each cluster. Double-click a cluster in the
Details
view and read the data in the Data Viewer. The Data Viewer displays one cluster at a time. The cluster data includes the score options that you selected, such as the driver score, link score, driver identifier, or link identifier.

Match Transformation Logging

When you run a mapping that uses a Match transformation, the Developer tool log tracks the number of comparison calculations that the mapping performs. To view the log data, select the
Show Log
option in the Data Viewer.
The mapping updates the log every 100,000 calculations.

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