Flink的keyby延时源码
public class RecordWriter<T extends IOReadableWritable> {
==FullBuffer
/**
* This is used to send LatencyMarks to a random target channel.
*/
public void randomEmit(T record) throws IOException, InterruptedException {
sendToTarget(record, rng.nextInt(numChannels));
} private void sendToTarget(T record, int targetChannel) throws IOException, InterruptedException {
RecordSerializer<T> serializer = serializers[targetChannel]; SerializationResult result = serializer.addRecord(record); while (result.isFullBuffer()) {
if (tryFinishCurrentBufferBuilder(targetChannel, serializer)) {
// If this was a full record, we are done. Not breaking
// out of the loop at this point will lead to another
// buffer request before breaking out (that would not be
// a problem per se, but it can lead to stalls in the
// pipeline).
if (result.isFullRecord()) {
break;
}
}
BufferBuilder bufferBuilder = requestNewBufferBuilder(targetChannel); result = serializer.continueWritingWithNextBufferBuilder(bufferBuilder);
}
checkState(!serializer.hasSerializedData(), "All data should be written at once"); if (flushAlways) {
targetPartition.flush(targetChannel);
}
} ==getBufferTimeout
package org.apache.flink.streaming.runtime.tasks;
public abstract class StreamTask<OUT, OP extends StreamOperator<OUT>>
@VisibleForTesting
public static <OUT> List<StreamRecordWriter<SerializationDelegate<StreamRecord<OUT>>>> createStreamRecordWriters(
StreamConfig configuration,
Environment environment) {
List<StreamRecordWriter<SerializationDelegate<StreamRecord<OUT>>>> streamRecordWriters = new ArrayList<>();
List<StreamEdge> outEdgesInOrder = configuration.getOutEdgesInOrder(environment.getUserClassLoader());
Map<Integer, StreamConfig> chainedConfigs = configuration.getTransitiveChainedTaskConfigsWithSelf(environment.getUserClassLoader()); for (int i = 0; i < outEdgesInOrder.size(); i++) {
StreamEdge edge = outEdgesInOrder.get(i);
streamRecordWriters.add(
createStreamRecordWriter(
edge,
i,
environment,
environment.getTaskInfo().getTaskName(),
chainedConfigs.get(edge.getSourceId()).getBufferTimeout()));
}
return streamRecordWriters; } http://vinoyang.com/2016/12/30/flink-runtime-producer-result-partition/
http://vinoyang.com/2017/01/04/flink-runtime-consumer-input-gate/
http://vinoyang.com/2017/01/08/flink-runtime-netty-part-1/
http://vinoyang.com/2017/01/12/flink-runtime-netty-part-2/
http://vinoyang.com/2017/01/15/flink-runtime-netty-part-3/
http://vinoyang.com/2016/12/14/flink-runtime-NetworkEnvironment/
http://vinoyang.com/2016/12/28/flink-runtime-communicate-api/
http://vinoyang.com/archives/2016/12/
http://vinoyang.com/2016/12/20/flink-runtime-unified-data-exchange/
Flink的keyby延时源码的更多相关文章
- flink on yarn部分源码解析
转发请注明原创地址:https://www.cnblogs.com/dongxiao-yang/p/9403427.html flink任务的deploy形式有很多种选择,常见的有standalone ...
- flink on yarn部分源码解析 (FLIP-6 new mode)
我们在https://www.cnblogs.com/dongxiao-yang/p/9403427.html文章里分析了flink提交single job到yarn集群上的代码,flink在1.5版 ...
- Flink的TaskManager启动(源码分析)
通过启动脚本已经找到了TaskManager 的启动类org.apache.flink.runtime.taskexecutor.TaskManagerRunner 来看一下它的main方法中 最后被 ...
- Flink的JobManager启动(源码分析)
都知道Flink中的角色分为Jobmanager,TaskManger 在启动脚本里面已经找到了jobmanager的启动类org.apache.flink.runtime.entrypoint.St ...
- Flink源码阅读(1.7.2)
目录 Client提交任务 flink的图结构 StreamGraph OptimizedPlan JobGraph ExecutionGraph flink部署与执行模型 Single Job Jo ...
- Flink的Job启动TaskManager端(源码分析)
前面说到了 Flink的JobManager启动(源码分析) 启动了TaskManager 然后 Flink的Job启动JobManager端(源码分析) 说到JobManager会将转化得到 ...
- Flink sql 之 TopN 与 StreamPhysicalRankRule (源码解析)
基于flink1.14的源码做解析 公司内有很多业务方都在使用我们Flink sql平台做TopN的计算,今天同事突然问到我,Flink sql 是怎么实现topN的 ? 蒙圈了,这块源码没看过啊 , ...
- [源码分析] 从源码入手看 Flink Watermark 之传播过程
[源码分析] 从源码入手看 Flink Watermark 之传播过程 0x00 摘要 本文将通过源码分析,带领大家熟悉Flink Watermark 之传播过程,顺便也可以对Flink整体逻辑有一个 ...
- Flink源码分析
http://vinoyang.com/ http://wuchong.me Apache Flink源码解析之stream-source https://yq.aliyun.com/articles ...
随机推荐
- C#程序实现窗体的最大化/最小化
C#程序实现窗体的最大化/最小化 http://blog.csdn.net/jiangqin115/article/details/41251215 private void button1_Clic ...
- quartz持久化部署实现
http://blog.csdn.net/wxniitxueyuan/article/details/50477712
- Android(java)同步方法synchronized
synchronized 是java语言keyword.当它用来修饰一个方法或者一个代码块的时候,可以保证在同一时刻最多仅仅有一个线程运行该段代码. synchronized keyword,它包含两 ...
- Kafka流处理平台
1. Kafka简介 Kafka是最初由Linkedin公司开发,是一个分布式.支持分区的(partition).多副本的(replica),基于zookeeper协调的分布式消息系统,它的最大的特性 ...
- shell脚本启动node服务
#!/bin/bash cd /root/dev-web source /etc/profile /usr/local/node-8.11.1/bin/npm i && EGG_SER ...
- ios中图层的用法(1)
uiview画圆角 - (void)layerMyView { // 圆角 self.myview.layer.cornerRadius = ; // 边框 self.myview.layer.bor ...
- ibatis和myBatis打印sql语句的log4j配置文件
1/ibatis: log4j.rootLogger=debug, stdout, logfile log4j.logger.com.ibatis=DEBUG log4j.logger.com. ...
- Js里面IF(var)表示什么意思?js中if的写法、含义
Q:if(一个变量),没有> < !=这些半短逻辑, 什么时候为真 什么时候为假? A:是判断逻辑,javascript是弱变量类型语言,通俗地就是没有数据类型.任意值都有逻辑值(真或假) ...
- elk架构图
一.概述 笔者为了节约宝贵的服务器资源,把一些可拆分的服务合并在同一台主机.大家可以根据自己的实际业务环境自由拆分,延伸架构.
- 在Linux上yum安装运行Redis,只能安装2.4.10(主从)
Installing Redis on CentOS 6.4 First, install the epel repo sudo rpm -Uvh http://download.fedoraproj ...