Table of Contents

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  1. Preface
  2. Transformations
  3. Source transformation
  4. Target transformation
  5. Aggregator transformation
  6. Cleanse transformation
  7. Data Masking transformation
  8. Data Services transformation
  9. Deduplicate transformation
  10. Expression transformation
  11. Filter transformation
  12. Hierarchy Builder transformation
  13. Hierarchy Parser transformation
  14. Hierarchy Processor transformation
  15. Input transformation
  16. Java transformation
  17. Java transformation API reference
  18. Joiner transformation
  19. Labeler transformation
  20. Lookup transformation
  21. Machine Learning transformation
  22. Mapplet transformation
  23. Normalizer transformation
  24. Output transformation
  25. Parse transformation
  26. Python transformation
  27. Rank transformation
  28. Router transformation
  29. Rule Specification transformation
  30. Sequence Generator transformation
  31. Sorter transformation
  32. SQL transformation
  33. Structure Parser transformation
  34. Transaction Control transformation
  35. Union transformation
  36. Velocity transformation
  37. Verifier transformation
  38. Web Services transformation

Transformations

Transformations

Selecting multiple database rows

Selecting multiple database rows

When the SQL query contains a SELECT statement, the transformation returns one row for each database row it retrieves. You must configure an output field for each column in the SELECT statement. The output fields must be in the same order as the columns in the SELECT statement.
When you configure output fields for database columns, you must configure the data type of each database column that you select. Select a native data type from the list. When you select the native data type,
Data Integration
configures the transformation data type for you.
The native data type in the transformation must match the database column data type.
Data Integration
matches the column data type in the database with the native database type in the transformation at run time. If the data types do not match,
Data Integration
generates a row error.

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