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

Tumbling Window

Tumbling Window

A tumbling window accumulates data and returns a bounded data group. After the output data is sent, the tumbling window is cleared and a new group of data is accumulated for the next output. Tumbling windows do not overlap. In tumbling windows, the window size and slide interval are the same.
The following image shows a sample 5-second tumbling window:
The image shows a tumbling window with a window size and slide interval of 5 seconds.


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