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Table of Contents

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  1. Preface
  2. Working with Transformations
  3. Aggregator Transformation
  4. Classifier Transformation
  5. Cleanse transformation
  6. Comparison Transformation
  7. Custom Transformation
  8. Custom Transformation Functions
  9. Consolidation Transformation
  10. Data Masking Transformation
  11. Data Masking Examples
  12. Decision Transformation
  13. Dynamic Lookup Cache
  14. Expression Transformation
  15. External Procedure Transformation
  16. Filter Transformation
  17. HTTP Transformation
  18. Identity Resolution Transformation
  19. Java Transformation
  20. Java Transformation API Reference
  21. Java Expressions
  22. Java Transformation Example
  23. Joiner Transformation
  24. Key Generator Transformation
  25. Labeler Transformation
  26. Lookup Transformation
  27. Lookup Caches
  28. Match Transformation
  29. Match Transformations in Field Analysis
  30. Match Transformations in Identity Analysis
  31. Merge Transformation
  32. Normalizer Transformation
  33. Parse transformation
  34. Rank Transformation
  35. Router Transformation
  36. Rule Specification transformation
  37. Sequence Generator Transformation
  38. Sorter Transformation
  39. Source Qualifier Transformation
  40. SQL Transformation
  41. Using the SQL Transformation in a Mapping
  42. Stored Procedure Transformation
  43. Standardizer Transformation
  44. Transaction Control Transformation
  45. Union Transformation
  46. Unstructured Data Transformation
  47. Update Strategy Transformation
  48. Verifier transformation
  49. Weighted Average Transformation
  50. XML Transformations

Transformation Guide

Transformation Guide

Match Output Properties

Match Output Properties

The Match Output view includes properties that specify the cache memory behavior, the match score threshold, and the match scores that appear in the transformation output.
You can also use the match output properties to specify how the transformation adds match score values to the output records.
After you select a match output type, configure the following properties:
Cache Directory
Specifies the directory to which the Data Integration Service writes temporary data during field match analysis. The Data Integration Service writes temporary files to the directory when the volume of data that the match analysis generates is greater than the available system memory. The Data Integration Service deletes the temporary files after the mapping runs.
You can enter a directory path on the property, or you can use a parameter to identify the directory. Specify a local path on the Data Integration Service machine. The Data Integration Service must be able to write to the directory. The default value is the CacheDir system parameter.
Cache Size
Determines the amount of system memory that the Data Integration Service assigns to field match analysis. The default value is 400,000 bytes.
Before it sorts the data, the Data Integration Service allocates the amount of memory that you specify. If the match analysis generates a greater amount of data, the Data Integration Service writes the excess data to the cache directory. If the match analysis requires more memory than the system memory and the file storage can provide, the mapping fails.
If you enter a value of 65536 or higher, the transformation reads the value in bytes. If you enter a lower value, the transformation reads the value in megabytes.
Threshold
Sets the minimum match score that identifies two records as potential duplicates of each other.
You can assign a parameter to the threshold value. Set a decimal value in the range 0 through 1.
Scoring Method
Determines the match score values that appear in the transformation output. Select a scoring method for cluster outputs.
The following table describes the scoring method options:
Scoring Method Option
Description
Both
Adds the link score and the driver score to each record in the cluster.
Link Score
Adds the link score to each record in the cluster. Default option.
Driver Score
Adds the driver score to each record in the cluster.
None
Does not add a match score to any record in the cluster.
If you add the driver score to the records, you increase the mapping run time. The mapping waits until all clusters are complete before it adds the driver score values to the records.

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