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. Transformation in Streaming Mappings
  8. Window Transformation
  9. Appendix A: Connections
  10. Appendix B: Monitoring REST API Reference
  11. Appendix C: Sample Files

Schema Properties

Schema Properties

The schema properties display the column related details of the Confluent Kafka sources. To specify schema properties, select the data operation and enable the column projection.
The following table describes the schema properties that you configure for Confluent Kafka sources:
Column Name
Name field that contains data.
This property is read-only.
Native data type of the source.
This property is read-only.
Enable Column Projection
Indicates that you use a schema to read the data that the source streams.
Schema Format
Format in which the source streams data. Confluent Kafka using schema registry supports Avro format. For Kafka, select one of the following formats:
  • XML
  • JSON
  • Flat
  • Avro
Use Schema
Specify the XSD schema for the XML format, a sample file for JSON, or .avsc file for Avro format.
For the Flat file format, configure the schema to associate a flat file to the Kafka source. When you provide a sample file, the Data Integration Service uses UTF-8 code page when reading the data.
Use Intelligent Structure Model
Displays the intelligent structure model associated with the complex file. You can select a different model.
  • 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 then click
    Select Model
  • A streaming mapping with Confluent Kafka source fails validation when you specify a schema registry URL in the Confluent Kafka connection and provide an Avro sample file to Intelligent Structure Discovery.
  • 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.


We’d like to hear from you!