Table of Contents

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  1. Preface
  2. Working with Transformations
  3. Aggregator Transformation
  4. Custom Transformation
  5. Custom Transformation Functions
  6. Data Masking Transformation
  7. Data Masking Examples
  8. Expression Transformation
  9. External Procedure Transformation
  10. Filter Transformation
  11. HTTP Transformation
  12. Identity Resolution Transformation
  13. Java Transformation
  14. Java Transformation API Reference
  15. Java Expressions
  16. Java Transformation Example
  17. Joiner Transformation
  18. Lookup Transformation
  19. Lookup Caches
  20. Dynamic Lookup Cache
  21. Normalizer Transformation
  22. Rank Transformation
  23. Router Transformation
  24. Sequence Generator Transformation
  25. Sorter Transformation
  26. Source Qualifier Transformation
  27. SQL Transformation
  28. Using the SQL Transformation in a Mapping
  29. Stored Procedure Transformation
  30. Transaction Control Transformation
  31. Union Transformation
  32. Unstructured Data Transformation
  33. Update Strategy Transformation
  34. XML Transformations

Transformation Guide

Transformation Guide

Session Processing

Session Processing

When the Integration Service processes an SQL transformation, it runs SQL queries midstream in the pipeline. When a SELECT query retrieves database rows, the SQL transformation returns the database columns in the output ports. For other types of queries, the SQL transformation returns query results, pass-through data, or database errors in output ports.
The SQL transformation configured to run in script mode always returns one row for each input row. A SQL transformation that runs in query mode can return a different number of rows for each input row. The number of rows the SQL transformation returns is based on the type of query it runs and the success of the query.
You can view a log of the SQL query that the Integration Service passes to the database for processing. When you set logging to verbose, the Integration Service writes each SQL query to the session log. Set logging to verbose when you need to debug a session with the SQL transformation.
You can use transaction control with the SQL transformation when you configure the transformation to use a static database connection. You can also issue commit and rollback statements in the query.
The SQL transformation provides some database connection resiliency. It provides resilience for database deadlocks.

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