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

Push-Into Optimization with the Web Service Consumer Transformation

Push-Into Optimization with the Web Service Consumer Transformation

You can configure push-into optimization with the Web Service Consumer transformation when the transformation is in a virtual table in an SQL data service.
The mapping calls the web service to retrieve a set of data or a subset of the data based on the statements in the end-user SQL query. The end-user SQL query contains an optional filter condition.
With push-into optimization, the Web Service Consumer transformation receives the filter value in a filter port. The filter port is an unconnected input port that you identify as a filter port when you configure push-into optimization. The filter port has a default value that ensures that the web service returns all rows if the end-user query contains no filter. The filter port is not a pass-through port.
The filter field must be part of the root group in the web service request.
When you configure a filter port, you identify an output port in the Web Service Consumer transformation that receives the column data from the web service response. For example, if the filter port is an input port named EmployeeID, the output port from the response might be a port named EmployeeNum. The Developer tool needs to associate the input filter port and an output port in order to push the filter logic from the virtual table read to the web service consumer request. The input ports for a web service request are usually different than the output ports from the web service response.
The filter field cannot be a pass-through port. When you configure a filter port, the default value of the port changes to the value of the filter condition, so the pass-though output port value changes. A filter based on the output pass-through port returns unexpected results.
You can push multiple filter expressions to the Web Service Consumer transformation. Each filter condition must be the following format:
<Field> = <Constant>
The filter conditions must be joined by AND. You cannot join the conditions with an OR.

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