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Flink 中极其重要的 Time 与 Window 详细解析(深度好文，建议收藏) （三）

Window FoldWindowedStream → DataStream：给窗口赋一个fold功能的函数，并返回一个fold后的结果。import org.apache.flink.streaming.api.scala.StreamExecutionEnvironment import org...

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Flink 中极其重要的 Time 与 Window 详细解析(深度好文，建议收藏) （二）

sliding-time-window (有重叠数据)//1.创建运行环境 val env = StreamExecutionEnvironment.getExecutionEnvironment //2.定义数据流来源 val text = env.socketTextStream("localh...

Flink 中极其重要的 Time 与 Window 详细解析(深度好文，建议收藏) （一）

前言Flink 是流式的、实时的计算引擎上面一句话就有两个概念，一个是流式，一个是实时。流式：就是数据源源不断的流进来，也就是数据没有边界，但是我们计算的时候必须在一个有边界的范围内进行，所以这里面就有一个问题，边界怎么确定？无非就两种方式，根据时间段或者数据量进行确...

Apache Flink 零基础入门（五）：流处理核心组件 Time&Window 深度解析

作者：邱从贤 1. Window & Time 介绍 Apache Flink（以下简称 Flink）是一个天然支持无限流数据处理的分布式计算框架，在 Flink 中 Window 可以将无限流切分成有限流，是处理有限流的核心组件，现在 Flink 中 Window 可以是时间驱动的（Ti...

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实时计算Flink版

阿里云实时计算Flink版(Alibaba Cloud Realtime Compute)，完全兼容开源的Apache Flink，比开源性能提升2～3倍，提供了完整的告警、监控、日志的解决方案、提升开发效率且无运维成本，并有社区专家提供技术支持。

立即开通

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实时同步

MySQL 到 Hologres

Kafka 到 Hologres

功能对比

开源Flink对比

成本优化

作业自动调优