Table of Contents

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  1. Preface
  2. Introduction to Transformations
  3. Transformation Ports
  4. Transformation Caches
  5. Address Validator Transformation
  6. Aggregator Transformation
  7. Association Transformation
  8. Bad Record Exception Transformation
  9. Case Converter Transformation
  10. Classifier Transformation
  11. Comparison Transformation
  12. Consolidation Transformation
  13. Data Masking Transformation
  14. Data Processor Transformation
  15. Decision Transformation
  16. Duplicate Record Exception Transformation
  17. Expression Transformation
  18. Filter Transformation
  19. Hierarchical to Relational Transformation
  20. Java Transformation
  21. Java Transformation API Reference
  22. Java Expressions
  23. Joiner Transformation
  24. Key Generator Transformation
  25. Labeler Transformation
  26. Lookup Transformation
  27. Lookup Caches
  28. Dynamic Lookup Cache
  29. Match Transformation
  30. Match Transformations in Field Analysis
  31. Match Transformations in Identity Analysis
  32. Normalizer Transformation
  33. Merge Transformation
  34. Parser Transformation
  35. Python Transformation
  36. Rank Transformation
  37. Read Transformation
  38. Relational to Hierarchical Transformation
  39. REST Web Service Consumer Transformation
  40. Router Transformation
  41. Sequence Generator Transformation
  42. Sorter Transformation
  43. SQL Transformation
  44. Standardizer Transformation
  45. Union Transformation
  46. Update Strategy Transformation
  47. Web Service Consumer Transformation
  48. Parsing Web Service SOAP Messages
  49. Generating Web Service SOAP Messages
  50. Weighted Average Transformation
  51. Window Transformation
  52. Write Transformation
  53. Appendix A: Transformation Delimiters

Developer Transformation Guide

Developer Transformation Guide

Stored Procedures

Stored Procedures

You can call a stored procedure from an SQL transformation. You can use a stored procedure to automate tasks in a relational database. Stored procedures accept user-defined variables, conditional statements, and other features that standard SQL statements do not support.
The SQL transformation connects to a relational database to run the stored procedure. The SQL transformation can call stored procedures from Oracle, IBM DB2, Microsoft SQL Server, Sybase, and ODBC. A stored procedure is kept in the database, and it runs in the database.
Create an ODBC connection to call a stored procedure from a Sybase database. You must also create an ODBC connection to call a stored procedure from a Microsoft SQL Server database on non-Windows operating systems.
A stored procedure is a pre-compiled collection of Transact-SQL, PL-SQL, or other database procedural statements. Stored procedure syntax varies based 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.
  • Retrieve data by a value.
  • Drop and re-create indexes.
You can use a stored procedure to perform a query or calculation that you would otherwise include in a transformation. For example, if you have a well-tested stored procedure for calculating sales tax, you can perform that calculation with the stored procedure instead of recreating the same calculation in an Expression transformation.
A stored procedure can accept input and then return a result set of rows. A stored procedure can run a DDL task that requires no input and then returns no output.
You can configure the SQL transformation to run more than one stored procedure. For each stored procedure that you configure, configure transformation ports to match the stored procedure parameters. Each stored procedure can pass data back to output ports.
The database that contains the stored procedure has user permissions. You must have permissions to run the stored procedure on the database.
A stored function is similar to a stored procedure, except that a function returns a single value. The SQL transformation can run stored functions.

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