Table of Contents

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  1. Preface
  2. Introduction to Informatica Data Engineering Integration
  3. Mappings
  4. Mapping Optimization
  5. Sources
  6. Targets
  7. Transformations
  8. Python Transformation
  9. Data Preview
  10. Cluster Workflows
  11. Profiles
  12. Monitoring
  13. Hierarchical Data Processing
  14. Hierarchical Data Processing Configuration
  15. Hierarchical Data Processing with Schema Changes
  16. Intelligent Structure Models
  17. Blockchain
  18. Stateful Computing
  19. Appendix A: Connections Reference
  20. Appendix B: Data Type Reference
  21. Appendix C: Function Reference

Complex File Targets on Hive

Complex File Targets on Hive

Use a PowerExchange for Hive connection to write data to a Hive data object.
The following table shows the complex files that a mapping can process within Hive storage in the Hadoop environment:
Resource Format
Supported Formats
Supported Engines
Avro
  • Flat
  • Blaze
ORC
  • Flat
  • Hierarchical
    1
  • Blaze
  • Spark
Parquet
  • Flat
  • Blaze
RCfile
  • Flat
  • Blaze
Sequence
  • Flat
  • Blaze
Text
  • Flat
  • Blaze
1
Hierarchical data is only supported on the Spark engine.


Updated September 28, 2020