Table of Contents

Search

  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 Sources on Amazon S3

Complex File Sources on Amazon S3

Use a PowerExchange for Amazon S3 connection to read data from Amazon S3 data objects.
The following table shows the complex files that a mapping can process within Amazon S3 storage in the Hadoop environment:
Resource Format
Supported Formats
Supported Engines
Avro
  • Flat
  • Hierarchical
    1 2
  • Blaze
  • Spark
Intelligent Structure Model or Sample File
  • Flat
  • Hierarchical
    1 2
  • Blaze
  • Spark
JSON
  • Flat
  • Hierarchical
    1 2
  • Blaze
  • Spark
ORC
  • Flat
  • Spark
Parquet
  • Flat
  • Hierarchical
    1 2
  • Blaze
  • Spark
1
To run on the Blaze engine, the complex file data object must be connected to a Data Processor transformation.
2
To run on the Spark engine, the complex file read operation must be enabled to project columns as complex data type.

0 COMMENTS

We’d like to hear from you!