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  1. Preface
  2. Introduction to PowerExchange for Microsoft Azure Data Lake Storage Gen2
  3. PowerExchange for Microsoft Azure Data Lake Storage Gen2 Configuration
  4. Microsoft Azure Data Lake Storage Gen2 Connections
  5. PowerExchange for Microsoft Azure Data Lake Storage Gen2 Data Objects
  6. Microsoft Azure Data Lake Storage Gen2 Mappings
  7. Appendix A: Microsoft Azure Data Lake Storage Gen2 Datatype Reference

PowerExchange for Microsoft Azure Data Lake Storage Gen2 User Guide

PowerExchange for Microsoft Azure Data Lake Storage Gen2 User Guide

Working with FileName Port

Working with FileName Port

You can use the FileName port in a target to dynamically redirect the rows based on the value received by FileName port.
When you run a mapping in the native environment to read or write a flat file using the FileName port, the Data Integration Service creates separate directories for each value in the FileName port in the following format:
<CFW FileName>/<CFW FileName>=<valueFromMappingFlow>
When you run a mapping that uses the FileName port in the native environment or on the Spark and Databricks Spark engines to read or write a complex file, the Data Integration Service creates separate directories for each value in the FileName port and adds the files within the directories.

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