Flink 的过去 offline Real-time Batch Processing Continuous Processing & Streaming Analytics Event-driven Applications ✔ 现在 Flink 1.9 的架构变化 Runtime Distributed Streaming Dataflow Query Processor Flink 的现在 offline Real-time Batch Processing Continuous Processing & Streaming Analytics Event-driven Applications ✔ ✔ 未来 Micro Services O_0 O_1 I_0 I_1 I_2 P_0 P_1 P_2 S_0 S_1 Order Flink 的未来 offline Real-time Batch Processing Continuous Processing & Streaming Analytics Event-driven Applications ✔ ✔ ✔ 扫码加入社群 与志同道合的码友一起 Code Up 阿里云开发者社区 Apache Flink China 2群 粘贴二维码 谢谢！

provides fine-grained control over state and timer, which allows for the implementation of advanced event-driven systems. You can run the latest version of these examples by yourself in ‘Live Notebook: DataStream’

provides fine-grained control over state and timer, which allows for the implementation of advanced event-driven systems. You can run the latest version of these examples by yourself in ‘Live Notebook: DataStream’