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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. Macro Transformation
  30. Match Transformation
  31. Match Transformations in Field Analysis
  32. Match Transformations in Identity Analysis
  33. Normalizer Transformation
  34. Merge Transformation
  35. Parser Transformation
  36. Python Transformation
  37. Rank Transformation
  38. Read Transformation
  39. Relational to Hierarchical Transformation
  40. REST Web Service Consumer Transformation
  41. Router Transformation
  42. Sequence Generator Transformation
  43. Sorter Transformation
  44. SQL Transformation
  45. Standardizer Transformation
  46. Union Transformation
  47. Update Strategy Transformation
  48. Web Service Consumer Transformation
  49. Parsing Web Service SOAP Messages
  50. Generating Web Service SOAP Messages
  51. Weighted Average Transformation
  52. Window Transformation
  53. Write Transformation
  54. Appendix A: Transformation Delimiters

Developer Transformation Guide

Developer Transformation Guide

Back Next

Push-Into Optimization with Web Service Consumer Transformation Example

Push-Into Optimization with Web Service Consumer Transformation Example

An SQL data service returns orders for all customers or it returns orders for a specific customer based on the SQL query it receives from the user.
The data service contains a logical data object with the following components:
Customer table
An Oracle database table that contains customer information.
Web Service Consumer transformation
A transformation that calls a web service to retrieve the latest orders for customers. The Web Service Consumer transformation has input ports for customerID and orderNum. The transformation has pass-through ports that contain customer data that it receives from the Customer table. The orderNum port is the filter port and is not connected. orderNum has the default value "*". When the web service receives this value in the web service request, it returns all orders.
Orders virtual table
A virtual table that receives the customer and order data from the web service. The end-user queries this table. Orders contains a customer column, orderID column, and customer and order data.
The end-user passes the following SQL query to the SQL data service:
SELECT * from OrdersID where customer = 23 and orderID = 56
The Data Integration Service splits the query to optimize the mapping. The Data Integration Service uses early selection optimization and moves the filter logic,
customer = 23
, to the Customer table read. The Data Integration Service uses push-into optimization and pushes the filter logic,
orderID = 56
, into the Web Service Consumer transformation filter port. The Web Service Consumer transformation retrieves ordersID 56 for customer 23.
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