Table of Contents

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  1. Preface
  2. Introduction to Informatica Big Data Management
  3. Mappings
  4. Sources
  5. Targets
  6. Transformations
  7. Data Preview
  8. Cluster Workflows
  9. Profiles
  10. Monitoring
  11. Hierarchical Data Processing
  12. Hierarchical Data Processing Configuration
  13. Hierarchical Data Processing with Schema Changes
  14. Intelligent Structure Models
  15. Stateful Computing
  16. Connections
  17. Data Type Reference
  18. Function Reference

Labeler Transformation in a Non-native Environment

Labeler Transformation in a Non-native Environment

The Labeler transformation processing in a non-native environment depends on the engine that runs the transformation.
Consider the support for the following non-native run-time engines:
  • Blaze engine. Supported without restrictions.
  • Spark engine. Supported without restrictions in batch mappings. Not supported in streaming mappings.
  • Databricks Spark engine. Not supported.


Updated January 20, 2020