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Table of Contents

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  1. Preface
  2. Working with Transformations
  3. Address Validator Transformation
  4. Aggregator Transformation
  5. Association Transformation
  6. Bad Record Exception Transformation
  7. Case Converter Transformation
  8. Classifier Transformation
  9. Cleanse transformation
  10. Comparison Transformation
  11. Custom Transformation
  12. Custom Transformation Functions
  13. Consolidation Transformation
  14. Data Masking Transformation
  15. Data Masking Examples
  16. Decision Transformation
  17. Duplicate Record Exception Transformation
  18. Dynamic Lookup Cache
  19. Expression Transformation
  20. External Procedure Transformation
  21. Filter Transformation
  22. HTTP Transformation
  23. Identity Resolution Transformation
  24. Java Transformation
  25. Java Transformation API Reference
  26. Java Expressions
  27. Java Transformation Example
  28. Joiner Transformation
  29. Key Generator Transformation
  30. Labeler Transformation
  31. Lookup Transformation
  32. Lookup Caches
  33. Match Transformation
  34. Match Transformations in Field Analysis
  35. Match Transformations in Identity Analysis
  36. Merge Transformation
  37. Normalizer Transformation
  38. Parser Transformation
  39. Rank Transformation
  40. Router Transformation
  41. Sequence Generator Transformation
  42. Sorter Transformation
  43. Source Qualifier Transformation
  44. SQL Transformation
  45. Using the SQL Transformation in a Mapping
  46. Stored Procedure Transformation
  47. Standardizer Transformation
  48. Transaction Control Transformation
  49. Union Transformation
  50. Unstructured Data Transformation
  51. Update Strategy Transformation
  52. Weighted Average Transformation
  53. XML Transformations

Transformation Guide

Transformation Guide

Consolidation Mappings

Consolidation Mappings

To consolidate records, create a mapping that creates groups of related records. Add a Consolidation transformation to a mapping, and configure the transformation to consolidate each record group into a single master record.
Connect a Consolidation transformation to other transformations according to the business objectives and the data requirements. To consolidate matched records, you can connect the Consolidation transformation to a Match transformation. To consolidate records as part of exception record management, connect the Consolidation transformation to an Exception transformation. If you use a Key Generator transformation to group records, you can connect a Consolidation transformation directly to the Key Generator transformation. The Consolidation transformation creates a consolidated record for each group that the Key Generator transformation creates.

Mapping Output in Native and Hadoop Environments

When you run a consolidation mapping in a native environment and in a Hadoop environment, the Consolidation transformation can generate different results. Because the mapping runs on multiple nodes in Hadoop, the input records can enter the Consolidation transformation in a different order than in the native environment. As a result, the transformation can generate different sets of survivor records in each environment for the same input data set. The transformation calculations and the consolidated results are accurate for the input row order in each case.
To generate the same survivor records in native and Hadoop environments, configure the Consolidation transformation to sort the records in the following order:
  • First, sort the records on the Group By port.
  • Then, sort the records in the order in which the input ports appear in the transformation.

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