Table of Contents

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  1. Preface
  2. Introduction to Informatica Big Data Management
  3. Mappings in the Hadoop Environment
  4. Mapping Sources in the Hadoop Environment
  5. Mapping Targets in the Hadoop Environment
  6. Mapping Transformations in the Hadoop Environment
  7. Processing Hierarchical Data on the Spark Engine
  8. Configuring Transformations to Process Hierarchical Data
  9. Processing Unstructured and Semi-structured Data with an Intelligent Structure Model
  10. Stateful Computing on the Spark Engine
  11. Monitoring Mappings in the Hadoop Environment
  12. Mappings in the Native Environment
  13. Profiles
  14. Native Environment Optimization
  15. Cluster Workflows
  16. Connections
  17. Data Type Reference
  18. Function Reference
  19. Parameter Reference

Parser Transformation Support on the Hive Engine

Parser Transformation Support on the Hive Engine

A mapping with a Parser transformation fails to run on a cluster node when the following conditions are true:
  • The transformation reads reference data from a probabilistic model file.
  • The version of the Java Development Kit on the cluster node differs from the version of the Java Development Kit that the Informatica installation specifies for probabilistic analysis.


Updated October 23, 2019