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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 Google Cloud Storage

Complex File Targets on Google Cloud Storage

You can use a PowerExchange for Google Cloud Storage connection to write data to Google Cloud Storage data objects. If you use a PowerExchange for Google Cloud Storage connection, you cannot write compressed binary files to Google Cloud Storage.
The following table shows the complex files that a PowerExchange for Google Cloud Storage connection can process within Google Cloud Storage storage in the Hadoop environment:
File Type
Supported Formats
Supported Engines
Avro
  • Flat
  • Hierarchical
    1
Spark
JSON
  • Flat
  • Hierarchical
    1
Spark
Parquet
  • Flat
  • Hierarchical
    1
Spark
1
To run on the Spark engine, the complex file write operation must be enabled to project columns as complex data type.

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