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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

Passing the Full Query

Passing the Full Query

You can pass the full SQL query through an input port in the transformation. To pass the full query, create a query in the SQL Editor that consists of one string variable to represent the full query:
~Query_Port~
The transformation receives the query in the Query_Port input port.
The following figure shows ports in the SQL transformation:
The SQL Ports tab in the Edit Transformations dialog box contains the port name, datatype, native type, precision, scale, input, and output columns. The tab also contains the Transformation Name, Transformation Type, Default Value, Description, SQL Query, and Query Description fields. Query_Port is in the port name column and ~Query_Port~ is in the SQL Query field.
The Integration Service replaces the ~Query_Port~ variable in the dynamic query with the SQL statements from the source. It prepares the query and sends it to the database to process. The database executes the query. The SQL transformation returns database errors to the SQLError port.
The following mapping shows how to pass the query to the SQL transformation:
""
When you pass the full query, you can pass more than one query statement for each input row. For example, the source might contain the following rows:
DELETE FROM Person WHERE LastName = ‘Jones’; INSERT INTO Person (LastName, Address) VALUES ('Smith', '38 Summit Drive') DELETE FROM Person WHERE LastName = ‘Jones’; INSERT INTO Person (LastName, Address) VALUES ('Smith', '38 Summit Drive') DELETE FROM Person WHERE LastName = ‘Russell’;
You can pass any type of query in the source data. When you configure SELECT statements in the query, you must configure output ports for the database columns you retrieve from the database. When you mix SELECT statements and other types of queries, the output ports that represent database columns contain null values when no database columns are retrieved.

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