以“物联网设备监控”为例，数据先通过Kafka消息队列缓冲

ps2monkey

实际应用中，方案需结合业务需求调整。以“物联网设备监控”为例，数据先通过Kafka消息队列缓冲，再由Flink集群消费：节点按设备ID分组，每个分组独立计算窗口内的统计指标；同时引入状态后端（如RocksDB），持久化窗口状态，防止节点故障导致数据丢失。而“电商销量预测”场景，则先用Spark Streaming完成历史数据清洗、特征提取，再将处理后的数据输入预测模型，实现“批处理+流处理”的混合计算。https://www.zhihu.com/zvideo/1986461727936771126/
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