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

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

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