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Table of Contents

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  1. Preface
  2. Working with Transformations
  3. Address Validator Transformation
  4. Aggregator Transformation
  5. Association Transformation
  6. Bad Record Exception Transformation
  7. Case Converter Transformation
  8. Classifier Transformation
  9. Cleanse transformation
  10. Comparison Transformation
  11. Custom Transformation
  12. Custom Transformation Functions
  13. Consolidation Transformation
  14. Data Masking Transformation
  15. Data Masking Examples
  16. Decision Transformation
  17. Duplicate Record Exception Transformation
  18. Dynamic Lookup Cache
  19. Expression Transformation
  20. External Procedure Transformation
  21. Filter Transformation
  22. HTTP Transformation
  23. Identity Resolution Transformation
  24. Java Transformation
  25. Java Transformation API Reference
  26. Java Expressions
  27. Java Transformation Example
  28. Joiner Transformation
  29. Key Generator Transformation
  30. Labeler Transformation
  31. Lookup Transformation
  32. Lookup Caches
  33. Match Transformation
  34. Match Transformations in Field Analysis
  35. Match Transformations in Identity Analysis
  36. Merge Transformation
  37. Normalizer Transformation
  38. Parser Transformation
  39. Rank Transformation
  40. Router Transformation
  41. Sequence Generator Transformation
  42. Sorter Transformation
  43. Source Qualifier Transformation
  44. SQL Transformation
  45. Using the SQL Transformation in a Mapping
  46. Stored Procedure Transformation
  47. Standardizer Transformation
  48. Transaction Control Transformation
  49. Union Transformation
  50. Unstructured Data Transformation
  51. Update Strategy Transformation
  52. Weighted Average Transformation
  53. XML Transformations

Transformation Guide

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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