Transactional stream processing engines (TSPEs) are central to modern stream applications handling shared mutable states. However, their full potential, particularly in adaptive scheduling, remains largely unexplored. We presentMorphStream, a TSPE designed to optimize parallelism and performance for transactional stream processing on multicores. Through a unique three-stage execution paradigm (i.e.,planning,scheduling, andexecution),MorphStreamenables adaptive scheduling under varying workload characteristics. Building on this foundation,MorphStreamis further enhanced with support for non-deterministic state access, employing a stateful task precedence graph to handle undefined read/write sets at runtime while guaranteeing transaction semantics. Additionally,MorphStreamincorporates a generalized framework for managing window-based operations, enabling efficient tracking and maintenance of overlapping windows using multi-versioned state management. These extensions enhance the system's ability to process dynamic and irregular workloads. Experimental results demonstrate up to 3.4 times higher throughput and 69.1% lower latency compared to state-of-the-art TSPEs, validating its scalability and adaptability in real-world streaming scenarios.

In the realm of transactional stream processing (TSP), the challenge lies in providing a unified execution model that seamlessly integrates transactional and stream-oriented capabilities. Existing TSP engines (TSPEs) largely employ non-adaptive scheduling techniques, leaving multicore parallelism underutilized due to intricate workload dependencies. We demonstrate MorphStream, a state-of-the-art TSPE built for unprecedented scalability on multicores. MorphStream distinguishes itself by employing an adaptive scheduling algorithm, explicitly designed to unlock the full potential of multicore architectures even under complex workload conditions. This enables MorphStream to make optimal trade-offs in performance metrics under varying workload characteristics. To enhance user engagement, the demonstration will showcase MorphStream's graphical user interface, specifically engineered to simplify the implementation and deployment of complex streaming applications while providing detailed and comprehensive performance monitoring and analytics for the job execution runtime.