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  • Informatica Data Quality 10.4.0
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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. 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

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Input and Output Ports

Input and Output Ports

The Java transformation initializes the value of unconnected input ports or output ports that do not have an assigned value in the Java code snippets.
Java transformation initializes ports based on the following Java data types:
Primitive data type
If you define a default value for the port that is not equal to null, the transformation initializes the value of the port variable to the default value. Otherwise, it initializes the value of the port variable to 0.
Complex data type
If you define a default value for the port, the transformation creates a new object, and initializes the object to the default value. Otherwise, the transformation initializes the port variable to null. For example, if you define a default value for a string port, the transformation creates a new String object, and initializes the String object to the default value.
If you access an input port variable with a null value in the Java code, a NullPointerException occurs.
You can enable an input port as a partition key and a sort key, and you can assign a sort direction. The Data Integration Service partitions the data and sorts the data in each partition by the sort key and sort direction. The Partition Key and Sort Key are valid when the transformation scope is set to All Input.
Use the following properties for partitioning and sorting data:
Partition Key
Input port that determines the rows of data to group into the same partition.
You can enable one or more input rows as partition keys. The Data Integration Service uses the partition keys to repartition the data before the code runs. If you do not select an input row as a partition key, the data is processed using its default partitioning scheme.
Sort Key
Input port that determines the sort criteria within each partition.
Direction
Ascending or descending order. Default is ascending.
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