Table of Contents

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  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. Macro Transformation
  30. Match Transformation
  31. Match Transformations in Field Analysis
  32. Match Transformations in Identity Analysis
  33. Normalizer Transformation
  34. Merge Transformation
  35. Parser Transformation
  36. Python Transformation
  37. Rank Transformation
  38. Read Transformation
  39. Relational to Hierarchical Transformation
  40. REST Web Service Consumer Transformation
  41. Router Transformation
  42. Sequence Generator Transformation
  43. Sorter Transformation
  44. SQL Transformation
  45. Standardizer Transformation
  46. Union Transformation
  47. Update Strategy Transformation
  48. Web Service Consumer Transformation
  49. Parsing Web Service SOAP Messages
  50. Generating Web Service SOAP Messages
  51. Weighted Average Transformation
  52. Window Transformation
  53. Write Transformation
  54. Appendix A: Transformation Delimiters

Developer Transformation Guide

Developer Transformation Guide

Simple Strategies

Simple Strategies

A simple strategy analyzes a port in a record group and returns one value. You specify a simple strategy for each port. The Consolidation transformation uses the port values selected by all simple strategies to create a consolidated record.
When you configure a strategy in the
Strategies
view of the transformation, the strategy displays the following text as the consolidation method:
Use default
.
The default strategy is "Highest row ID."
You can choose from the following simple strategies:
Average
Analyzes a port in the record group and returns the average of all values.
For String and Date/time datatypes, the strategy returns the most frequently occurring value.
Longest
Analyzes a port in the record group and returns the value with the highest character count. If the highest character count is shared by two or more values, the strategy returns the first qualifying value.
Maximum
Analyzes a port in the record group and returns the highest value.
For the String datatype, the strategy returns the longest string. For the Date/time datatype, the strategy returns the most recent date.
Minimum
Analyzes a port in the record group and returns the lowest value.
For the String datatype, the strategy returns the shortest string. For the Date/time datatype, the strategy returns the earliest date.
Most frequent
Analyzes a port in the record group and returns the most frequently occurring value, including blank or null values. If the highest number of occurrences is shared by two or more values, the strategy returns the first qualifying value.
Most frequent non-blank
Analyzes a port in the record group and returns the most frequently occurring value, excluding blank or null values. If the highest number of non-blank occurrences is shared by two or more values, the strategy returns the first qualifying value.
Shortest
Analyzes a port in the record group and returns the value with the lowest character count. If the lowest character count is shared by two or more values, the strategy returns the first qualifying value.
Highest row ID
Analyzes a port in the record group and returns the value with the highest row ID.

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