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feat(stream): support sub event in event window trigger #33332
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Summary of ChangesHello @JinqingKuang, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed! This pull request significantly enhances the stream processing engine by introducing support for sub-events within event window triggers. This feature allows for more sophisticated event detection by enabling a 'parent' event to be composed of multiple, distinct 'sub-events,' each with its own set of conditions. The changes involve updates to core data structures, event processing logic, and the SQL parsing mechanism to seamlessly integrate this new capability, providing richer and more granular event-driven insights. Highlights
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Code Review
This pull request introduces support for sub-events in event window triggers, which is a significant feature enhancement. The changes span across parsing, task deployment, and runtime logic. The use of a union in SSTriggerRealtimeGroup is a good optimization. However, I've identified a few areas where the implementation could be improved for clarity, maintainability, and robustness. My main concerns are around the complex loop control flow using i-- in stRealtimeGroupDoEventCheck, the potentially brittle logic for identifying parent windows in stRealtimeGroupGenCalcParams, and a semantic type mismatch in stRealtimeContextCalcExpr. Please see the detailed comments for suggestions on how to address these points.
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Summary of ChangesThis pull request introduces a significant enhancement to the stream processing engine by enabling the definition and processing of sub-events within event window triggers. This allows for more sophisticated and granular event detection, where a main event can be composed of several distinct sub-conditions. The changes ensure that the system can correctly identify, track, and notify about these complex event patterns, providing richer analytical capabilities for real-time data streams. Highlights
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Description
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Checklist
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