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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

Back Next

Synchronize Relational Data Objects

Synchronize Relational Data Objects

You can synchronize physical data objects when their sources change. When you synchronize a physical data object, the Developer tool reimports the object metadata from the source you select.
You can synchronize all physical data objects. When you synchronize relational data objects or customized data objects, you can retain or overwrite the key relationships you define in the Developer tool.
Choose from among several methods to synchronize mapping objects:
Synchronize a relational resource.
To synchronize any physical data object, right-click the object in the
Object Explorer
 view, and select
Synchronize
.
Synchronize transformation ports with the physical data object.
In the Data Object tab of a transformation, select the option
At run time, get data object columns from the data source
.
At run time, the Data Integration Service fetches metadata and data definition changes from the data source and refreshes the data object definition in the Model repository.
To preview how the Data Integration Service fetches metadata and data definition changes, view the mapping with resolved parameters.
Synchronize ports when metadata changes
In the General tab of a transformation, select the option to synchronize ports. The exact label of this option depends on the type of transformation you configure. For example, for a Read transformation, the option is
When metadata changes, synchronize output ports
.
When the mapping runs, the Data Integration Service synchronizes column metadata in the transformation with the metadata in the data source.
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