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

MapR Streams Data Objects

MapR Streams Data Objects

A MapR Streams data object is a physical data object that represents data in a MapR Stream. After you create a MapR Streams connection, create a MapR Streams data object to write data to MapR Streams.
Before you create and use MapR Stream data objects in Streaming mappings, complete the required prerequisites.
For more information about the prerequisite tasks, see the
Data Engineering Integration Guide
When you write data to a MapR stream, specify the name of the stream that you publish to.
After you create a MapR Streams data object, create a write data object operation. You can then add the data object write operation as a target in Streaming mappings.
When you configure the data operation properties, specify the format in which the MapR Streams data object writes data. You can specify XML, JSON, or Avro as format. When you specify XML format, you must provide an XSD file. When you specify Avro format, provide a sample Avro schema in a .avsc file. When you specify JSON, you must provide a sample file.
You can pass any payload format directly from source to target in Streaming mappings. You can project columns in binary format pass a payload from source to target in its original form or to pass a payload format that is not supported.
Streaming mappings can read, process, and write hierarchical data. You can use array, struct, and map complex data types to process the hierarchical data. You assign complex data types to ports in a mapping to flow hierarchical data. Ports that flow hierarchical data are called complex ports.
For more information about processing hierarchical data, see the
Data Engineering Integration User Guide
If you use a MapR Streams data object in a streaming mapping, you cannot use an Apache Kafka data object in the same mapping.


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