的状态操作(Flink-1.10); ProcessFunction; KeyedProcessFunction类; ProcessAllWindowFunction(窗口处理); CoProcessFunction...,同时监听9998和9999端口,将收到的输出分别处理后,再由同一个sink处理(打印): [在这里插入图片描述] Flink支持的方式是扩展CoProcessFunction来处理,为了更清楚认识,我们把...; import org.apache.flink.api.java.tuple.Tuple; import org.apache.flink.api.java.tuple.Tuple2; import...; import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment; import org.apache.flink.streaming.api.functions.co.CoProcessFunction...import org.apache.flink.api.java.tuple.Tuple2; import org.apache.flink.streaming.api.functions.co.CoProcessFunction
接下来看看Flink是怎样做的。 Flink的场合 Flink中也有与Spark类似的广播变量,用法也几乎相同。...Flink直接使用了MapStateDescriptor作为广播的状态描述符,方便存储多种不同的广播数据。...如果DataStream是一个普通的流, 需要定义BroadcastProcessFunction,反之,如果该DataStream是一个KeyedStream, 就需要定义KeyedBroadcastProcessFunction...connectedStream.process(new BroadcastProcessFunction() { private static...的行为与RichCoFlatMapFunction、CoProcessFunction非常相像。
的状态操作(Flink-1.10); ProcessFunction; KeyedProcessFunction类; ProcessAllWindowFunction(窗口处理); CoProcessFunction...,同时监听9998和9999端口,将收到的输出分别处理后,再由同一个sink处理(打印): Flink支持的方式是扩展CoProcessFunction来处理,为了更清楚认识,我们把KeyedProcessFunction...; import org.apache.flink.api.java.tuple.Tuple; import org.apache.flink.api.java.tuple.Tuple2; import...; import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment; import org.apache.flink.streaming.api.functions.co.CoProcessFunction...import org.apache.flink.api.java.tuple.Tuple2; import org.apache.flink.streaming.api.functions.co.CoProcessFunction
下面我们将提供有关 Apache Flink 应用程序的单元测试指南。Apache Flink 提供了一个强大的单元测试框架,以确保我们的应用程序在上线后符合我们的预期。 1....:2.11 注意:由于需要测试 JAR 包:org.apache.flink:flink-runtime_2.11:tests:1.11.2 和 org.apache.flink:flink-streaming-java...ProcessFunctionTestHarnesses 测试 ProcessFunction 不同风味(例如 KeyedProcessFunction,KeyedCoProcessFunction,BroadcastProcessFunction...public static TwoInputStreamOperatorTestHarness forCoProcessFunction(CoProcessFunction...public static BroadcastOperatorTestHarness forBroadcastProcessFunction(BroadcastProcessFunction
CoProcessFunction ProcessJoinFunction BroadcastProcessFunction KeyedBroadcastProcessFunction 注意:注意定时器...; import org.apache.flink.api.common.state.ValueState; import org.apache.flink.api.common.state.ValueStateDescriptor...; import org.apache.flink.configuration.Configuration; import org.apache.flink.streaming.api.datastream.DataStream...; import org.apache.flink.streaming.api.datastream.DataStreamSource; import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment...; import org.apache.flink.streaming.api.functions.KeyedProcessFunction; import org.apache.flink.util.Collector
文章目录 01 引言 02 Flink VS Spark 2.1 运行角色 2.2 生态 2.3 运行模型 2.4 编程模型对比 2.5 任务调度原理 2.6 时间机制对比 2.7 kafka 动态分区检测...Flink的内存管理了,有兴趣的同学可以参阅下: 《Flink教程(01)- Flink知识图谱》 《Flink教程(02)- Flink入门》 《Flink教程(03)- Flink环境搭建》 《Flink...教程(04)- Flink入门案例》 《Flink教程(05)- Flink原理简单分析》 《Flink教程(06)- Flink批流一体API(Source示例)》 《Flink教程(07)- Flink...)》 《Flink教程(13)- Flink高级API(状态管理)》 《Flink教程(14)- Flink高级API(容错机制)》 《Flink教程(15)- Flink高级API(并行度)》 《Flink...02 Flink VS Spark 2.1 运行角色 Spark Streaming 运行时的角色(standalone 模式)主要有: Master:主要负责整体集群资源的管理和应用程序调度; Worker
关于《CoProcessFunction实战三部曲》系列 《CoProcessFunction实战三部曲》旨在通过三次实战,由浅入深的学习和掌握Flink低阶处理函数CoProcessFunction的用法...,该如何编码实现呢,例如下图中的操作,同时监听9998和9999端口,将收到的输出分别处理后,再由同一个sink处理(打印): Flink支持的方式是扩展CoProcessFunction来处理,...; import org.apache.flink.api.java.tuple.Tuple; import org.apache.flink.api.java.tuple.Tuple2; import...; import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment; import org.apache.flink.streaming.api.functions.co.CoProcessFunction...; import org.apache.flink.api.java.tuple.Tuple2; import org.apache.flink.streaming.api.functions.co.CoProcessFunction
序 本文主要研究一下flink DataStream的connect操作 DataStream.connect flink-streaming-java_2.11-1.7.0-sources.jar!...( coProcessFunction, CoProcessFunction.class, 0, 1,...CoMapFunction flink-streaming-java_2.11-1.7.0-sources.jar!...flink-streaming-java_2.11-1.7.0-sources.jar!.../org/apache/flink/streaming/api/functions/co/CoProcessFunction.java @PublicEvolving public abstract class
《CoProcessFunction实战三部曲》旨在通过三次实战,由浅入深的学习和掌握Flink低阶处理函数CoProcessFunction的用法; 整个系列的开篇先介绍CoProcessFunction...,该如何编码实现呢,例如下图中的操作,同时监听9998和9999端口,将收到的输出分别处理后,再由同一个sink处理(打印): [在这里插入图片描述] Flink支持的方式是扩展CoProcessFunction...; import org.apache.flink.api.java.tuple.Tuple; import org.apache.flink.api.java.tuple.Tuple2; import...; import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment; import org.apache.flink.streaming.api.functions.co.CoProcessFunction...; import org.apache.flink.api.java.tuple.Tuple2; import org.apache.flink.streaming.api.functions.co.CoProcessFunction
接下来看 flink 与 kafka 结合是如何编写代码的。...事件时间 事件时间是指事件在其设备上发生的时间,这个时间在事件进入 flink 之前已经嵌入事件,然后 flink 可以提取该时间。...Flink 时间机制 flink 支持三种时间机制:事件时间,注入时间,处理时间,同时支持 watermark 机制处理滞后数据。...Flink 入口类是 FlinkKafkaConsumerBase,该类是所有 flink 的 kafka 消费者的父类。 ?...图 11 下面详细讲解 flink 的两段提交思路: ? 图 12 如图 12 所示,Flink checkpointing 开始时便进入到 pre-commit 阶段。
序 本文主要研究一下flink的Broadcast State ext.jpeg 实例 @Test public void testBroadcastState() throws Exception.../org/apache/flink/api/common/state/MapStateDescriptor.java @PublicEvolving public class MapStateDescriptor.../org/apache/flink/streaming/api/datastream/DataStream.java /** * Sets the partitioning of the...KeyedBroadcastProcessFunction} * or a {@link org.apache.flink.streaming.api.functions.co.BroadcastProcessFunction.../org/apache/flink/streaming/api/datastream/BroadcastConnectedStream.java @PublicEvolving public class
的子类 前面的两篇实战中,CoProcessFunction的子类都写成了匿名类,如下图红框: 本文中,CoProcessFunction子类会用到外部类的成员变量,因此不能再用匿名类了,新增...CoProcessFunction的子类ExecuteWithTimeoutCoProcessFunction.java,稍后会说明几个关键点: package com.bolingcavalry.coprocessfunction...; import org.apache.flink.api.java.tuple.Tuple2; import org.apache.flink.configuration.Configuration;...import org.apache.flink.streaming.api.functions.co.CoProcessFunction; import org.apache.flink.util.Collector...; import org.apache.flink.streaming.api.functions.co.CoProcessFunction; import org.apache.flink.streaming.api.watermark.Watermark
的子类 前面的两篇实战中,CoProcessFunction的子类都写成了匿名类,如下图红框: [在这里插入图片描述] 本文中,CoProcessFunction子类会用到外部类的成员变量,因此不能再用匿名类了...,新增CoProcessFunction的子类ExecuteWithTimeoutCoProcessFunction.java,稍后会说明几个关键点: package com.bolingcavalry.coprocessfunction...; import org.apache.flink.api.java.tuple.Tuple2; import org.apache.flink.configuration.Configuration;...import org.apache.flink.streaming.api.functions.co.CoProcessFunction; import org.apache.flink.util.Collector...; import org.apache.flink.streaming.api.functions.co.CoProcessFunction; import org.apache.flink.streaming.api.watermark.Watermark
Apache Flink 为此提供了强大的 ProcessFunction 家族(KeyedProcessFunction、CoProcessFunction、BroadcastProcessFunction...本文基于 Flink 1.20 的语义,带你从零理解事件驱动的编程模型,并一步步实现一个“伪窗口 PseudoWindow”示例,体会 ProcessFunction 如何代替窗口完成时间分桶、累加和触发输出...五、事件时间 vs 处理时间定时器事件时间(Event Time):以事件携带的时间戳为准,Watermark 推进时触发。适合有乱序、需要时间一致性的业务场景。...在 Flink 中,KeyedProcessFunction 是实现事件驱动应用的核心武器:用它来注册事件或处理时间定时器、维护键控状态、为迟到与补偿设计精细策略。...原文来自:http://blog.daimajiangxin.com.cn源码地址:https://gitee.com/daimajiangxin/flink-learning
序 本文主要研究一下flink DataStream的connect操作 apache-flink-training-datastream-api-basics-34-638 (1).jpg DataStream.connect...flink-streaming-java_2.11-1.7.0-sources.jar!...CoMapFunction flink-streaming-java_2.11-1.7.0-sources.jar!...flink-streaming-java_2.11-1.7.0-sources.jar!.../org/apache/flink/streaming/api/functions/co/CoProcessFunction.java @PublicEvolving public abstract class
序 本文主要研究一下flink的Broadcast State 实例 @Test public void testBroadcastState() throws Exception {.../org/apache/flink/api/common/state/MapStateDescriptor.java @PublicEvolving public class MapStateDescriptor.../org/apache/flink/streaming/api/datastream/DataStream.java /** * Sets the partitioning of the...KeyedBroadcastProcessFunction} * or a {@link org.apache.flink.streaming.api.functions.co.BroadcastProcessFunction.../org/apache/flink/streaming/api/datastream/BroadcastConnectedStream.java @PublicEvolving public class
也就是说和spark不同, flink 的SQL Parsing, Analysing, Optimizing都是托管给calcite(flink会加入一些optimze rules)....生成phsyical plan,基于flink里头的rules生成了DataStream Plan(Physical Plan)。...SQL import org.apache.flink.api.common.typeinfo.TypeHint; import org.apache.flink.api.common.typeinfo.TypeInformation...; import org.apache.flink.api.java.DataSet; import org.apache.flink.api.java.ExecutionEnvironment; import...org.apache.flink.api.java.tuple.Tuple10; import org.apache.flink.table.api.Table; import org.apache.flink.table.api.java.BatchTableEnvironment
2.如果Data Stream 是Non-Keyed Stream,则连接到Broadcasted Stream 后,添加处理ProcessFunction 时需要使用BroadcastProcessFunction...来实现, 下面是BroadcastProcessFunction 的API,代码如下所示: public abstract class BroadcastProcessFunctionBroadcastProcessFunction 或KeyedBroadcastProcessFunction 的processElement 方法中只读。...; import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment; import org.apache.flink.streaming.api.functions.co.BroadcastProcessFunction...; import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment; import org.apache.flink.streaming.api.functions.co.BroadcastProcessFunction
GitHub 这里分类和汇总了欣宸的全部原创(含配套源码):https://github.com/zq2599/blog_demos 系列文章链接 基本功能 状态处理 定时器和侧输出 本篇概览 本文是《CoProcessFunction...AbstractCoProcessFunctionExecutor的子类AddTwoSourceValue.java,源码如下,稍后会说明几个关键点: package com.bolingcavalry.coprocessfunction...; import org.apache.flink.api.common.state.ValueState; import org.apache.flink.api.common.state.ValueStateDescriptor...; import org.apache.flink.api.java.tuple.Tuple2; import org.apache.flink.configuration.Configuration;...import org.apache.flink.streaming.api.functions.co.CoProcessFunction; import org.apache.flink.util.Collector
创作时间:2022 年 5 月 30 日 博客主页: 点此进入博客主页 —— 新时代的农民工 —— 换一种思维逻辑去看待这个世界 ---- 概述 在之前总结的文章中有提到过,Flink框架提供了三层...至此已经学习了DataStream API ,ProcessFunction API 是Flink中最底层的API,可以访问时间戳、watermark 以及注册定时事件。还可以输出特定的一些事件。...Flink SQL 就是使用 Process Function 实现的。...Flink 提供了 8 个 Process Function如下:ProcessFunction、KeyedProcessFunction、CoProcessFunction、ProcessJoinFunction...、BroadcastProcessFunction、KeyedBroadcastProcessFunction、ProcessWindowFunction、ProcessAllWindowFunction