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flink-training-exercises icon flink-training-exercises

- 如何建立一个环境来开发Flink程序 - 如何实现流数据处理管道 - Flink管理状态 - 如何使用事件时间一致计算准确的分析 - 如何在连续流上构建事件驱动的应用程序 - Flink如何能够提供容错的、有状态的流处理和精确的一次语义 - 各种operator实现 一 项目概览 出租车数据集包含纽约市出租车的信息：每一次骑行都由两个事件表示:旅程开始事件和旅程结束事件；出租车车费数据的相关数据集，实现以下算法： 1、清洗掉开始或者结束经纬度都不在纽约市区域内的行程记录日志 2、计算出租车上/下客人热点区域 3、Event Time 和 Watermarks、窗口（Windows）等操作 4、事件驱动应用，KeyedProcessFunction的实现 5、基于State的计算，将每次乘车的 TaxiRide 和 TaxiFare 记录进行 join 操作 6、Checkpoints 和 Savepoints 7、广播状态运用 等等...

learning-flink icon learning-flink

主要提供了一些flink api结合的case。重点是为Flink的状态和时间管理api提供直观的介绍，掌握了这些基础知识后，能够更好地理解和运用flink

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