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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

SQL Transformation Example Overview

SQL Transformation Example Overview

The SQL transformation processes SQL queries midstream in a pipeline. The transformation processes external SQL scripts or SQL queries that you create in an SQL editor. You can pass the database connection information to the SQL transformation as input data at run time.
This chapter provides two examples that illustrate SQL transformation functionality. You use the examples in this chapter to create and execute dynamic SQL queries and to connect dynamically to databases. The chapter provides sample data and descriptions of the transformations that you can include in mappings.
The chapter provides the following examples:
  • Creating a dynamic SQL query to update a database.
    The dynamic query update example shows how update product prices in a table based on a price code received from a source file.
  • Configuring a dynamic database connection.
    The dynamic connection example shows how to connect to different databases based on the value of a customer location in a source row.

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