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flink-study's Introduction

flink 学习

  • 有界流
  • 无界流

flink 部署

flink client -> JobManager -> TaskManager

机器规划

机器名 ip 部署角色
flink01 192.168.10.152 JobManager/TaskManager
flink02 192.168.10.153 TaskManager
flink03 192.168.10.154 TaskManager

hosts

192.168.10.152 flink01
192.168.10.153 flink02
192.168.10.154 flink03

jdk配置

## 编辑环境变量
vim /etc/profile

## 使环境变量生效
source /etc/profile

添加环境变量

export JAVA_HOME=/opt/java/jdk1.8.0_221
export PATH=$JAVA_HOME/bin:$PATH

flink部署

# 部署路径
/opt/flink
/opt/flink/flink-1.17.1

修改集群配置

vim /opt/flink/flink-1.17.1/conf/flink-conf.yaml
  • 配置项(flink01)
jobmanager.rpc.address: flink01
jobmanager.bind-host:  0.0.0.0
taskmanager.bind-host: 0.0.0.0
taskmanager.host: flink01
rest.address: flink01
rest.bind-address: 0.0.0.0
  • 配置workers节点信息
vim /opt/flink/flink-1.17.1/conf/workers

workers相关配置值

flink01
flink02
flink03
  • 配置maser信息
vim /opt/flink/flink-1.17.1/conf/masters

masters相关配置信息

flink01:8081
  • 配置项(flink02)
## 只需改下面这一项就可以了，其他的和flink01保持一致
taskmanager.host: flink02
  • 配置项(flink03)
## 只需改下面这一项就可以了，其他的和flink01保持一致
taskmanager.host: flink03

flink应用程序部署

打包

mvn clean package

## 下载源码
mvn dependency:resolve -Dclassifier=sources

## 打印依赖树
mvn dependency:tree

flink管理端页面提交

http://flink01:8081/#/submit

flink命令行提交作业

./bin/flink run -m flink01:8081 -c com.itclj.wc.WordCountStreamUnboundedDemo /root/flink-study-1.0-SNAPSHOT.jar

获取github ip 进行加速，获取到ip 后配置到hosts

https://sites.ipaddress.com/github.com/

flink-study's People

Contributors

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