实时计算 Flink版基石window 的相关内容

文章 2025-01-15 来自：开发者社区

Flink 四大基石之窗口（Window）使用详解

一、为什么需要 Window 在流处理场景中，数据是连续不断实时到达的，如果不对数据进行切分，直接处理整个无限流数据是不现实的。窗口（Window）就是为了解决这个问题而存在的，它将无限的数据流按照一定的规则切分成有限大小的 “块”，从而可以对每个 “块” 内的数据进行计算处理。例如，在实时统计网站的访问量场景中，我们可能需要每 5 分钟统计一次访问量，这里的 5 分钟就是一个窗口，通过...

文章 2024-08-22 来自：开发者社区

Flink四大基石——1.window

1.为什么需要Window 在讲这个问题之前，我们先补充批处理和流处理的知识。批处理:就是对历史数据/有界数据进行处理,如前一天/前7天/前2周/前1/3/6月,前1年…,批处理的任务特点是:跑完一次,就停止,就结束,等待下一次周期调度!而且批处理对于任务完成时间要求不高!一般几个小时内跑完都能够接受! 流处理:就是实时的源源不断到来的流式数据/无界数据进行处理!如:实...

阿里云文档 2024-08-02

WindowTVF变更兼容性

本文为您介绍Window TVF变更的可兼容性和不可兼容性详情。

阿里云文档 2024-07-17

WindowTop-N变更兼容性

Window TOP-N需要同时遵循Window TVF和Top-N两者的修改要求，支持的兼容性修改较少。本文为您介绍Window Top-N变更的可兼容性和不可兼容性详情。

阿里云文档 2024-07-11

GroupWindowAggregate变更兼容性

本文为您介绍Group Window Aggregate变更的可兼容性和不可兼容性详情。

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更新时间 2025-01-16 12:08:43

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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

产品控制台

产品文档

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