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

Push-Into Optimization with the SQL Transformation Example

Push-Into Optimization with the SQL Transformation Example

An SQL transformation retrieves orders by customer ID. A Filter transformation that appears after the SQL transformation returns only the rows where the order amount is greater than 1000.
The Data Integration Service pushes the following filter into a SELECT statement in the SQL transformation:
orderAmount > 1000
Each statement in the SQL query becomes a separate subquery of the SELECT statement that contains the filter.
The following query statement shows the original query statement as a subquery in the SELECT statement:
SELECT <customerID>, <orderAmount>, … FROM (
original query statements
) ALIAS WHERE <orderAmount> > 1000
If the SQL query has multiple statements, each statement is included in a separate subquery. The subquery has the same syntax, including the WHERE clause.
The ports
customerID
and
orderAmount
, are the names of the output ports in the SQL transformation. The subquery does not include pass-through ports, the SQL error, or the SQL statistics ports. If you push multiple filters into the SQL transformation, the WHERE clause contains all the filters.

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