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

Pass-through Ports

Pass-through Ports

Pass-through ports are input-output ports that pass data through the transformation without changing the data. The SQL transformation returns data in the pass-through ports whether an SQL query returns rows or not.
When the input row contains a SELECT query statement, the SQL transformation returns the data in the pass-through port for each row it returns from the database. If the query result contains multiple rows, the SQL transformation repeats the pass-through data in each row.
When a query returns no rows, the SQL transformation returns the pass-through column data with null values in the output columns. For example, queries that contain INSERT, UPDATE, and DELETE statements return no rows. When the query has errors, the SQL transformation returns the pass-through column data, the SQLError message, and null values in the output ports.
You cannot configure a pass-through port to return data from a SELECT query.
To create a pass-through port, create an input port and select
Copy to Output
. The Developer tool creates an output port and adds an “_output” suffix to the port name. You cannot change the output port that the Developer tool creates for a pass-through port. You cannot create an output port with the "_output" suffix.
The following figure shows a Name pass-through port in a reusable SQL transformation:
The Overview view shows the name, description, and ports of the SQL transformation. The Name pass-through port appears as the Name input port and the Name_output output port.

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