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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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Decimal Data Type

Decimal Data Type

You can use the Decimal data type to read and write data to flat files and supported databases, such as Oracle, Microsoft SQL Server, IBM DB2, and ODBC.
For transformations that support precision up to 38 digits, the precision is 1 to 38 digits, and the scale is 0 to 38.

Transformations that Support Decimal Data Type

The following transformations support the Decimal data type with precision up to 38 digits and can perform calculations on the data:
  • Aggregator
  • Data Masking
  • Expression
  • Filter
  • Java
  • Joiner
  • Lookup
  • Normalizer
  • Rank
  • Router
  • Sequence Generator
  • Sorter
  • Union
  • Update Strategy

Transformations with Pass-Through Support for Decimal Data Type

Some transformations can only pass decimal data with precision up to 38 digits through the transformation. The transformation cannot perform any calculations on the data. When you use a Decimal data type with precision up to 38 digits for performing calculations on the transformations, the Data Integration Service processes the data type as Double.
The following transformations have pass-through support for Decimal data type with precision up to 38 digits:
  • Data Processor
  • Hierarchical to Relational
  • REST Web Service Consumer Transformation
  • SQL
  • Web Services Consumer

Transformations that do not Support Decimal Data Type

Some transformations do not support Decimal data type, such as Data Quality transformations.
The following applicable list of Data Quality transformations do not support Decimal data type with precision up to 38 digits:
  • Address Validator
  • Association
  • Case Converter
  • Classifier
  • Comparison
  • Consolidation
  • Decision
  • Key Generator
  • Labeler
  • Match
  • Merge
  • Parser
  • Standardizer
  • Weighted Average
For transformations that do not support the Decimal 38 data type, when a Decimal data type has precision greater than 28 digits, the Data Integration Service converts decimal values to double in high precision mode.
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