Table of Contents

Search

  1. Preface
  2. Introduction to Transformations
  3. Transformation Ports
  4. Transformation Caches
  5. Address Validator Transformation
  6. Aggregator Transformation
  7. Association Transformation
  8. Bad Record Exception Transformation
  9. Case Converter Transformation
  10. Classifier Transformation
  11. Comparison Transformation
  12. Consolidation Transformation
  13. Data Masking Transformation
  14. Data Processor Transformation
  15. Decision Transformation
  16. Duplicate Record Exception Transformation
  17. Expression Transformation
  18. Filter Transformation
  19. Hierarchical to Relational Transformation
  20. Java Transformation
  21. Java Transformation API Reference
  22. Java Expressions
  23. Joiner Transformation
  24. Key Generator Transformation
  25. Labeler Transformation
  26. Lookup Transformation
  27. Lookup Caches
  28. Dynamic Lookup Cache
  29. Match Transformation
  30. Match Transformations in Field Analysis
  31. Match Transformations in Identity Analysis
  32. Normalizer Transformation
  33. Merge Transformation
  34. Parser Transformation
  35. Python Transformation
  36. Rank Transformation
  37. Read Transformation
  38. Relational to Hierarchical Transformation
  39. REST Web Service Consumer Transformation
  40. Router Transformation
  41. Sequence Generator Transformation
  42. Sorter Transformation
  43. SQL Transformation
  44. Standardizer Transformation
  45. Union Transformation
  46. Update Strategy Transformation
  47. Web Service Consumer Transformation
  48. Parsing Web Service SOAP Messages
  49. Generating Web Service SOAP Messages
  50. Weighted Average Transformation
  51. Window Transformation
  52. Write Transformation
  53. Appendix A: Transformation Delimiters

Developer Transformation Guide

Developer Transformation Guide

Aggregator Transformation Ports

Aggregator Transformation Ports

An Aggregator transformation has multiple port types that you can use to configure groups and to aggregate expressions.
An Aggregator transformation Ports view has the following fields:
Name
Name of the port.
Type
The port data type.
Precision
Length of the field.
Scale
The number of positions to the right of the decimal for numeric data.
Input
Indicates that data is from an upstream transformation.
Output
Indicates that the port returns the value of an expression. The expression can include non-aggregate expressions and conditional clauses. You can create multiple aggregate output ports.
Pass-Through
Indicates that the port is an input-output port that returns the data unchanged.
Variable
Indicates that the port can store values or calculations to use in an expression. Variable ports cannot be input or output ports. They pass data within the transformation only.
Expression
The expression to aggregate the rows or groups of rows.
Default value
The default value for a port with invalid or null values.
Input Rules
A set of rules that filter the ports to include or exclude in the transformation based on port names or data type. Configure input rules when you define dynamic ports.

0 COMMENTS

We’d like to hear from you!