Table of Contents

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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

Generate the Source File Name

Generate the Source File Name

You can generate the source file name for the flat file data object. The content of the file name column remains consistent across different modes of execution.
When you push processing to the specific engine for the required file types, the file name column returns the path based on the following formats:
Run-time Engine
Source File Location
Returned Path
Blaze
Local system
<staged path><local file path>
For example,
hdfs://host name:port/hive/warehouse/home/devbld/Desktop/ff.txt
Spark
HDFS
hdfs://<host name>:<port>/<file name path>
For example,
hdfs://host name:port/hive/warehouse/ff.txt
Spark
Local system
<local file path>
For example,
/home/devbld/Desktop/ff.txt
The file name column returns the content in the following format for a high availability cluster:
hdfs://<host name>/<file name path>
For example,
hdfs://irldv:5008/hive/warehouse/ff.txt


Updated September 28, 2020