Table of Contents


  1. Preface
  2. Introduction to Data Engineering Streaming
  3. Data Engineering Streaming Administration
  4. Sources in a Streaming Mapping
  5. Targets in a Streaming Mapping
  6. Streaming Mappings
  7. Window Transformation
  8. Appendix A: Connections
  9. Appendix B: Monitoring REST API Reference
  10. Appendix C: Sample Files

Column Projections Properties

Column Projections Properties

The following table describes the columns projection properties that you configure for Azure Event Hubs sources:
Column Name
The name field that contains data.
This property is read-only.
The native data type of the resource.
This property is read-only.
Enable Column Projection
Indicates that you use a schema to read the data that the source streams.
By default, the data is streamed in binary format. To change the format in which the data is processed, select this option and specify the schema format.
Schema Format
The format in which the source processes data. You can select one of the following formats:
  • XML
  • JSON
  • Flat
  • Avro
Use Schema
Specify the XSD schema for the XML format, the sample JSON for the JSON format.
Specify a .avsc file for the Avro format.
Use Intelligent Structure Model
Displays the intelligent structure model associated with the complex file. You can select a different model.
You can associate the data object with an intelligent structure model and directly parse input from CSV, XML, Avro, or JSON input files.
  • If you disable the column projection, the intelligent structure model associated with the data object is removed. If you want to associate an intelligent structure model with the data object again, enable the column projection and click
    Select Model
  • A streaming mapping fails due to schema drift when you use Avro schema with an intelligent structure model.
For more information about intelligent structure models, see the
Data Engineering Integration User Guide
Column Mapping
The mapping of source data to the data object. Click
to see the mapping.
Project Column as Complex Data Type
Project columns as complex data type for sources with hierarchical data.
Select this option if the source has hierarchical data.
For more information about hierarchical data, see the
Data Engineering Integration User Guide


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