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

Configuring a Pattern Parsing Strategy

Configuring a Pattern Parsing Strategy

To configure a pattern parsing strategy, open a Parser transformation in pattern parsing mode and select the
Patterns
view.
Before you configure the transformation to parse patterns, verify that the
Patterns
view shows the output port names you expect. The Parser transformation parses tokens to output ports you select. Create additional output ports if necessary.
  1. Select the
    Patterns
    view.
  2. Add one or more patterns to the strategy. You can add patterns in the following ways:
    • Enter data values to create a pattern. Click
      New
      and select
      New Pattern
      .
      If you select
      New Pattern
      , click
      Enter Patterns Here
      and enter one or more token types. The tokens you enter must match the token structure of an input data field. Add patterns need to describe the token structures on the input port.
    • Import data values from a reference table. Click
      New
      and select
      New Reference Table
      .
      If you select
      New Reference Table
      , browse the Model repository and select a reference table that contains a list of token structures. The reference table must contain two columns. The second column in the reference table must contain numeric values.
    • Import data values from a pattern set. Click
      Import
      and select a reusable pattern set in the Model repository.
      If you select
      Import
      , browse the content sets in the Model repository and select a reusable pattern set.
    You can use the
    Filter text
    field to filter the lists of reference tables and pattern sets.
    You can mix pattern sets and reference tables in the Patterns column.
  3. Assign each token in the Patterns column to an output port.
    • To assign a token to an output port, double-click in the port column and select the token name from the menu.
    • To parse multiple tokens to a single output, double-click in the port column and select
      Custom
      . Assign tokens to the port and select the delimiter to use.
    Assign the tokens in each row of the pattern to one or more output ports.
  4. Save the transformation.

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