MyDataWork POV — The promise of on-demand state repartitioning for Apache Spark™ Structured Streaming feels premature. While the flexibility to adjust state partitions without downtime is alluring, the real-world complexity of streaming data isn't addressed. This feature assumes a level of predictability in streaming workloads that often doesn't exist, leaving substantial questions about its reliability in unpredictable environments. Until proven in diverse, high-pressure scenarios, it's more a theoretical exercise than a practical breakthrough.