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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

Specifying an Operation for All Rows

Specifying an Operation for All Rows

When you configure a session, you can select a single database operation for all rows using the Treat Source Rows As setting.
The following table displays the options for the Treat Source Rows As setting:
Setting
Description
Insert
Treat all rows as inserts. If inserting the row violates a primary or foreign key constraint in the database, the Integration Service rejects the row.
Delete
Treat all rows as deletes. For each row, if the Integration Service finds a corresponding row in the target table (based on the primary key value), the Integration Service deletes it. Note that the primary key constraint must exist in the target definition in the repository.
Update
Treat all rows as updates. For each row, the Integration Service looks for a matching primary key value in the target table. If it exists, the Integration Service updates the row. The primary key constraint must exist in the target definition.
Data Driven
Integration Service follows instructions coded into Update Strategy and Custom transformations within the session mapping to determine how to flag rows for insert, delete, update, or reject.
If the mapping for the session contains an Update Strategy transformation, this field is marked Data Driven by default.
If you do not choose Data Driven when a mapping contains an Update Strategy or Custom transformation, the Workflow Manager displays a warning. When you run the session, the Integration Service does not follow instructions in the Update Strategy or Custom transformation in the mapping to determine how to flag rows.
The following table describes the update strategy for each setting:
Setting
Use To
Insert
Populate the target tables for the first time, or maintain a historical data warehouse. In the latter case, you must set this strategy for the entire data warehouse, not just a select group of target tables.
Delete
Clear target tables.
Update
Update target tables. You might choose this setting whether the data warehouse contains historical data or a snapshot. Later, when you configure how to update individual target tables, you can determine whether to insert updated rows as new rows or use the updated information to modify existing rows in the target.
Data Driven
Exert finer control over how you flag rows for insert, delete, update, or reject. Choose this setting if rows destined for the same table need to be flagged on occasion for one operation (for example, update), or for a different operation (for example, reject). In addition, this setting provides the only way you can flag rows for reject.

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