Table of Contents

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  1. Preface
  2. Transformations
  3. Source transformation
  4. Target transformation
  5. Access Policy transformation
  6. Aggregator transformation
  7. B2B transformation
  8. Cleanse transformation
  9. Data Masking transformation
  10. Data Services transformation
  11. Deduplicate transformation
  12. Expression transformation
  13. Filter transformation
  14. Hierarchy Builder transformation
  15. Hierarchy Parser transformation
  16. Hierarchy Processor transformation
  17. Input transformation
  18. Java transformation
  19. Java transformation API reference
  20. Joiner transformation
  21. Labeler transformation
  22. Lookup transformation
  23. Machine Learning transformation
  24. Mapplet transformation
  25. Normalizer transformation
  26. Output transformation
  27. Parse transformation
  28. Python transformation
  29. Rank transformation
  30. Router transformation
  31. Rule Specification transformation
  32. Sequence transformation
  33. Sorter transformation
  34. SQL transformation
  35. Structure Parser transformation
  36. Transaction Control transformation
  37. Union transformation
  38. Velocity transformation
  39. Verifier transformation
  40. Web Services transformation

Transformations

Transformations

SQL transformation

SQL transformation

Use the SQL transformation to call a stored procedure or function in a relational database or to processes SQL queries midstream in a pipeline. The transformation can call a stored procedure or function
, process a saved query,
or process a query that you create in the transformation SQL editor.
The SQL transformation can process the following types of SQL statements:
Stored procedure or stored function
A stored procedure is a precompiled collection of database procedural statements and optional flow control statements, similar to an executable script. Stored procedures reside in the database and run within the database. A stored function is similar to a stored procedure, except that a function returns a single value.
When the SQL transformation processes a stored procedure or function, it passes input parameters to the stored procedure or function. The stored procedure or function passes the return value or values to the output fields of the transformation.
Saved or user-entered query
You can configure the SQL transformation to process a saved query that you create in
Data Integration
or you
can enter a query in the SQL editor. The SQL transformation processes the query and returns rows and database errors.
You can pass strings or parameters to the query to define dynamic queries or change the selection parameters. You can output multiple rows when the query has a SELECT statement.

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