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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

Stored Procedure Transformation Overview

Stored Procedure Transformation Overview

A Stored Procedure transformation is an important tool for populating and maintaining databases. Database administrators create stored procedures to automate tasks that are too complicated for standard SQL statements. The Stored Procedure transformation is a passive transformation. You can configure a connected or unconnected Stored Procedure transformation.
A stored procedure is a precompiled collection of Transact-SQL, PL-SQL or other database procedural statements and optional flow control statements, similar to an executable script. Stored procedures are stored and run within the database. You can run a stored procedure with the EXECUTE SQL statement in a database client tool, just as you can run SQL statements. Unlike standard SQL, however, stored procedures allow user-defined variables, conditional statements, and other powerful programming features.
Not all databases support stored procedures, and stored procedure syntax varies depending on the database. You might use stored procedures to complete the following tasks:
  • Check the status of a target database before loading data into it.
  • Determine if enough space exists in a database.
  • Perform a specialized calculation.
  • Drop and recreate indexes.
Database developers and programmers use stored procedures for various tasks within databases, since stored procedures allow greater flexibility than SQL statements. Stored procedures also provide error handling and logging necessary for critical tasks. Developers create stored procedures in the database using the client tools provided with the database.
The stored procedure must exist in the database before creating a Stored Procedure transformation, and the stored procedure can exist in a source, target, or any database with a valid connection to the Integration Service.
You might use a stored procedure to perform a query or calculation that you would otherwise make part of a mapping. For example, if you already have a well-tested stored procedure for calculating sales tax, you can perform that calculation through the stored procedure instead of recreating the same calculation in an Expression transformation.

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