Table of Contents


  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

HDFS Mappings

HDFS Mappings

Create an HDFS mapping to read or write to HDFS or View File System (ViewFS).
You can read and write fixed-width and delimited file formats. You can read or write compressed files. You can read text files and binary file formats such as sequence file from HDFS or ViewFS. You can specify the compression format of the files. You can use the binary stream output of the complex file data object as input to a Data Processor transformation to parse the file.
You can define the following objects in an HDFS or ViewFS mapping:
  • Flat file data object or complex file data object operation as the source to read data from HDFS or ViewFS.
  • Transformations.
  • Flat file data object as the target to write data to HDFS or ViewFS or any target.
Validate and run the mapping. You can deploy the mapping and run it or add the mapping to a Mapping task in a workflow.


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