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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

Example

Example

You need to create order and inventory tables before adding new data to the tables. You can create an SQL script to create the tables and configure an SQL transformation to run the script.
You create a file called create_order_inventory.txt that contains the SQL statements to create the tables.
The following mapping shows how to pass the script name to the SQL transformation:
The mapping shows how the Integration Service reads a row from the source, with the source row containing the SQL script file name and path.
The Integration Service reads a row from the source. The source row contains the SQL script file name and path:
C:\81\server\shared\SrcFiles\create_order_inventory.txt
The transformation receives the file name in the ScriptName port. The Integration Service locates the script file and parses the script. It creates an SQL procedure and sends it to the database to process. The database validates the SQL and executes the query.
The SQL transformation returns the ScriptResults and ScriptError. If the script executes successfully, the ScriptResult output port returns PASSED. Otherwise, the ScriptResult port returns FAILED. When the ScriptResult is FAILED, the SQL transformation returns error messages in the ScriptError port. The SQL transformation returns one row for each input row it receives.

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