Table of Contents


  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



Identifies the row with the highest count of the most frequent values.
For example, consider a row that has three ports that contain the most frequent values in the record group. The count of the most frequent values for that row is "3."
You must use this function in conjunction with the
function. The
returns the values from the row that the
function identifies.


string1, [string2, ..., stringN,] group by
The following table describes the arguments for this command:
Input port name.
group by
Name of the input port that contains the group identifier.

Return Value

TRUE for the row that scores the highest count of the most frequent fields, FALSE for all other rows.


The following expression uses the
function to find the row that contains the highest count of the most frequent fields:
IF (CONSOL_MODALEXACT(First_Name,Last_Name,GroupKey,GroupKey)) THEN First_Name1 := CONSOL_GETROWFIELD(0) Last_Name1 := CONSOL_GETROWFIELD(1) GroupKey1 := CONSOL_GETROWFIELD(2) ELSE First_Name1 := First_Name Last_Name1 := Last_Name GroupKey1 := GroupKey ENDIF
In this expression, the
function analyzes rows in a record group and identifies a single row. The
functions use consecutive numbers to read the port values for that row and write the values to the output ports.


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