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

Bad Record Exception Issue Assignment

Bad Record Exception Issue Assignment

You must assign ports and priorities to data quality issues.
The following figure shows the
Issue Assignment
view:
The Issue Assignment view contains three quality issues in the left column. The middle column is the Input column. It contains the name of a port to assign to each quality issue. Each assignment has a priority of 1 in the third column.
The
Issue Assignment
view contains the following fields:
Quality Issue
Each quality issue port that you defined in the Quality Issues input group appears in the
Quality Issue
column.
Input
The
Input
column contains the data ports that you assign to quality issues in the
Issue Assignment
view. Associate an input port with each quality issue port. Each input port that contains bad quality data must have at least one corresponding quality issue port that indicates a type of issue. You might select the Phone_Number port for the Phone_Quality_Issue, for example. You can assign a port to more than one quality issue.
Issue Priority
Issue priorities determine which quality issues are the most important when you assign the same input port to multiple quality issues. If more than one quality issue occurs for an input field, the Data Integration Service applies the highest priority quality issue. If more than one quality issue exists for an input port and the issues have the same priority, the Data Integration Service applies the topmost quality issue in the list. Enter a priority from 1 to 99, where 1 represents the highest priority.
Define issue priorities to filter the records in the Analyst tool.

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