Table of Contents

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  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

Sliding Window

Sliding Window

A sliding window accumulates data and returns a bounded data group. The bounds on the data slide by the time you specify. The data groups that are accumulated can overlap based on the slide interval that you specify.
When you create a sliding Window transformation, the window size must be a multiple of the slide interval.
The following image shows a sample sliding window with a window size of 10 seconds and slide interval of 5 seconds:
The image shows a sliding window with a window size of 10 seconds and slide interval of 5 seconds.