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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

Defining the SQL Transformation

Defining the SQL Transformation

The SQL transformation connects to the database and runs a dynamic SQL query that inserts the customer data into the CUST table.
When you create an SQL transformation, you define the transformation mode, the database type, and the type of connection. You cannot change the mode or connection type after you create the transformation.
Create an SQL transformation with the following properties:
  • Query Mode.
    The SQL transformation executes dynamic SQL queries.
  • Dynamic Connection.
    The SQL transformation connects to databases depending on connection information you pass to the transformation in a mapping.
  • Connection Object.
    The SQL transformation has a LogicalConnectionObject port that receives the connection object name. The connection object must be defined in the Workflow Manager connections.
The following figure shows the ports in the SQL transformation:
The SQL Ports tab in Edit Transformations dialog box contains the port name, datatype, native type, precision, and scale columns. The SQL Ports tab also contains the Transformation Name, Transformation Type, Default Value, Description, SQL Query, and Query Description fields.
The SQL transformation receives the connection object name in the LogicalConnectionObject port. It connects to the database with the connection object name each time it processes a row.
The transformation has the following dynamic SQL query to insert the customer data into a CUST table:
INSERT INTO CUST VALUES (?CustomerId?,?CustomerName?,?PhoneNumber?,?Email?);
The SQL transformation substitutes parameters in the query with customer data from the input ports of the transformation. For example, the following source row contains customer information for customer number 1:
1,John Smith,6502345677,jsmith@catgary.com,US
The SQL transformation connects to the database with the DBORA_US connection object. It executes the following SQL query:
INSERT INTO CUST VALUES (1,’John Smith’,’6502345677’,’jsmith@catgary.com’);

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