Table of Contents

Search

  1. Preface
  2. Introduction to Informatica Big Data Management
  3. Mappings
  4. Sources
  5. Targets
  6. Transformations
  7. Cluster Workflows
  8. Profiles
  9. Monitoring
  10. Hierarchical Data Processing
  11. Hierarchical Data Processing Configuration
  12. Hierarchical Data Processing with Schema Changes
  13. Intelligent Structure Models
  14. Stateful Computing
  15. Connections
  16. Data Type Reference
  17. Function Reference

User Guide

User Guide

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.

0 COMMENTS

We’d like to hear from you!