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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

Creating an Aggregator Transformation

Creating an Aggregator Transformation

To use an Aggregator transformation in a mapping, add the Aggregator transformation to the mapping. Then configure the transformation with an aggregate expression and group by ports.
To create an Aggregator transformation:
  1. In the Mapping Designer, click Transformation > Create. Select the Aggregator transformation.
  2. Enter a name for the Aggregator, click Create. Then click Done.
    The Designer creates the Aggregator transformation.
  3. Drag the ports to the Aggregator transformation.
    The Designer creates input/output ports for each port you include.
  4. Double-click the title bar of the transformation to open the Edit Transformations dialog box.
  5. Select the Ports tab.
  6. Click the group by option for each column you want the Aggregator to use in creating groups.
    Optionally, enter a default value to replace null groups.
  7. Click Add to add an expression port.
    The expression port must be an output port. Make the port an output port by clearing Input (I).
  8. Optionally, add default values for specific ports.
    If the target database does not handle null values and certain ports are likely to contain null values, specify a default value.
  9. Configure properties on the Properties tab.

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