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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

Router Transformation Configuration

Router Transformation Configuration

The Router transformation uses two input ports. It reads the twitter messages from the data source and the ISO country codes from the Classifier transformation. The Router transformation routes the data on the input ports to different output ports based on a condition that you specify.
The following image shows the Router transformation port groups and port connections:
The mapping contains a data source object, a Classifier transformation, a Router transformation, and two data target objects. The Router transformation is expanded in the mapping editor to display the input ports and two output port groups.
The following table describes the configuration of the Router transformation:
Port Name
Port Type
Port Group
Precision
Classifier_Output
Input
Input
2
text
Input
Input
200
Classifier_Output
Input
Default
2
text
Input
Default
200
Classifier_Output
Input
En_Group
2
text
Input
En_Group
200
You configure the transformation to create data streams for English-language messages and for messages in other languages. To create a data stream, add an output port group to the transformation. Use the
Groups
options on the transformation to add the port group.
To determine how the transformation routes data to each data stream, you define a condition on a port group. The condition identifies a port and specifies a possible value on the port. When the transformation finds an input port value that matches the condition, it routes the input data to the port group that applies the condition.
Define the following condition on the En_Group:
ClassifierOutput='en'
The Router transformation reads data from two objects in the mapping. The transformation can combine the data in each output group because it does not alter the row sequence defined in the data objects.

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