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. Appendix A: Connections
  17. Appendix B: Data Type Reference
  18. Appendix C: Function Reference

Flat File Sources on Hadoop

Flat File Sources on Hadoop

A mapping that is running in a Hadoop environment can read a flat file source from a native environment.
Consider the following limitations when you configure the mapping to read a flat file source:
  • You cannot use an indirect source type.
  • The row size in a flat file source cannot exceed 190 MB.
  • You cannot use a command to generate or to transform flat file data and send the output to the flat file reader at run time.


Updated July 10, 2020