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. 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

Optimization Level

Optimization Level

Determines how the transformation matches input address data and address reference data. The property defines the type of match that the transformation must find between the input data and reference data before it can update the address record.
The following table describes the Optimization Level options:
Option
Description
Narrow
The transformation parses building numbers or house numbers from street information before it performs validation. Otherwise the transformation validates the input address elements strictly according to the input port structure. The narrow option performs the fastest address validation, but it can return less accurate results than other options.
Standard
The transformation parses multiple types of address information from the input data before it performs validation. When you select the standard option, the transformation updates an address if it can match multiple input values with the reference data.
Default is Standard.
Wide
The transformation uses the standard parsing settings and performs additional parsing operations across the input data. When you select the wide option, the transformation updates an address if it can match at least one input value with the reference data. The wide option increases mapping run times.

Parameter Usage

You can use a parameter to specify the optimization level. Enter NARROW, STANDARD, or WIDE. Enter the parameter value in uppercase.

0 COMMENTS

We’d like to hear from you!