Table of Contents

Search

  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. Merge Transformation
  33. Normalizer 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. Write Transformation
  52. Transformation Delimiters

Developer Transformation Guide

Developer Transformation Guide

Transformations in the Native and Hadoop Environments

Transformations in the Native and Hadoop Environments

Mappings that run in the Hadoop environment can return different results than mappings that run in the native environment.
Consider the following processing differences:
  • Hadoop uses distributed processing and processes data on different nodes. Each node does not have access to the data that is being processed on other nodes. As a result, the Hadoop execution engine might not be able to determine the order in which the data originated. So, when you run a mapping in a Hadoop environment and you run the same mapping in the native environment, both mappings return correct results, but the results might not be identical.
  • Each of the run-time engines in the Hadoop environment can process mapping logic differently. In the Hadoop environment, Informatica transformations might be fully supported, supported with restrictions, or not supported. Similarly, in the native environment, some Informatica transformations and transformation behavior might not be supported.
The following table lists transformations and support for different engines in a Hadoop environment:
Transformation
Blaze Engine
Spark Engine
Hive Engine
Transformations not listed in this table are not supported in the Hadoop environment.
Address Validator
Supported
Supported*
Supported
Aggregator
Supported
Supported
Supported
Case Converter
Supported
Supported*
Supported
Classifier
Supported
Supported*
Supported
Comparison
Supported
Supported*
Supported
Consolidation
Supported
Supported*
Supported
Data Masking
Supported
Supported
Supported
Data Processor
Supported
Not supported
Supported
Decision
Supported
Supported*
Supported
Expression
Supported
Supported
Supported
Filter
Supported
Supported
Supported
Java
Supported
Supported
Supported
Joiner
Supported
Supported
Supported
Key Generator
Supported
Supported*
Supported
Labeler
Supported
Supported*
Supported
Lookup
Supported
Supported
Supported
Match
Supported
Supported*
Supported
Merge
Supported
Supported*
Supported
Normalizer
Supported
Supported
Supported
Parser
Supported
Supported*
Supported
Python
Not supported
Supported
Not supported
Rank
Supported
Supported
Supported
Router
Supported
Supported
Supported
Sequence Generator
Supported
Supported*
Not supported
Sorter
Supported
Supported
Supported
Standardizer
Supported
Supported*
Supported
Union
Supported
Supported
Supported
Update Strategy
Supported
Supported*
Supported
Weighted Average
Supported
Supported*
Supported
*Not supported for Big Data Streaming on the Spark engine. For more information about Big Data Streaming transformations, see the
Big Data Streaming User Guide
.

0 COMMENTS

We’d like to hear from you!