Table of Contents


  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

Address Validator Transformation in the Hadoop Environment

Address Validator Transformation in the Hadoop Environment

The Address Validator transformation processing behavior is the same on the Blaze, Spark, and Hive engines.
The Address Validator transformation is supported with the following restrictions:
  • The Address Validator transformation cannot generate a certification report.
  • The Address Validator transformation fails validation when it is configured to run in Interactive mode or Suggestion List mode.

Updated October 23, 2019