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  1. Preface
  2. Introduction to PowerExchange for Amazon S3
  3. PowerExchange for Amazon S3 Configuration Overview
  4. Amazon S3 Connections
  5. PowerExchange for Amazon S3 Data Objects
  6. PowerExchange for Amazon S3 Mappings
  7. PowerExchange for Amazon S3 Lookups
  8. Appendix A: Amazon S3 Data Type Reference
  9. Appendix B: Troubleshooting

PowerExchange for Amazon S3 User Guide

PowerExchange for Amazon S3 User Guide

Rules and Guidelines for Directory-Level Partitioning

Rules and Guidelines for Directory-Level Partitioning

Consider the following rules and guidelines when you read from and write to a partition folder:
  • You cannot configure directory-level partitioning when you run a mapping on the Databricks Spark engine.
  • You must select the file type as
    Directory
    to read from a partition folder.
  • When you import a directory that has a partition folder, the data type for the partition column is imported as a String.
  • You can read data from or write data to partition folders with Avro, Parquet, and ORC files.
  • You cannot use the
    Data Preview
    option with partition columns.
  • For
    Create Target
    , you can add partition fields and arrange the partition fields in an order.
  • When you import a data object, the data and FileName port always show 0 as the partition order.
  • You cannot use the FileName port when you use directory-level partitioning.
  • The partitioned directory that you select cannot have a partitioned column named FileName. The name is case insensitive.

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