CentOS7安装flink1.17完全分布式

前提条件

准备三台CenOS7机器，主机名称，例如：node2，node3，node4

三台机器安装好jdk8，通常情况下，flink需要结合hadoop处理大数据问题，建议先安装hadoop，可参考 hadoop安装

Flink集群规划

node2	node3	node4
JobManager TaskManager	TaskManager	TaskManager

node2

node3

node4

JobManager

TaskManager

下载安装包

在node2机器操作

[hadoop@node2 ~]$ cd installfile/
[hadoop@node2 installfile]$ wget https://archive.apache.org/dist/flink/flink-1.17.1/flink-1.17.1-bin-scala_2.12.tgz --no-check-certificate

解压安装包

[hadoop@node2 installfile]$ tar -zxvf flink-1.17.1-bin-scala_2.12.tgz -C ~/soft

进入到解压后的目录，查看解压后的文件

[hadoop@node2 installfile]$ cd ~/soft/
[hadoop@node2 soft]$ ls

配置环境变量

[hadoop@node2 soft]$ sudo nano /etc/profile.d/my_env.sh

添加如下内容

#FLINK_HOME
export FLINK_HOME=/home/hadoop/soft/flink-1.17.1
export PATH=$PATH:$FLINK_HOME/bin

让环境变量生效

[hadoop@node2 soft]$ source /etc/profile

验证版本号

[hadoop@node2 soft]$ flink -v
Version: 1.17.1, Commit ID: 2750d5c

看到如上Version: 1.17.1版本号字样，说明环境变量配置成功。

配置flink

进入flink配置目录，查看配置文件

[hadoop@node2 ~]$ cd $FLINK_HOME/conf
[hadoop@node2 conf]$ ls
flink-conf.yaml       log4j-console.properties  log4j-session.properties  logback-session.xml  masters  zoo.cfg
log4j-cli.properties  log4j.properties          logback-console.xml       logback.xml          workers

`配置flink-conf.yaml`

[hadoop@node2 conf]$ vim flink-conf.yaml

找到相关配置项并修改，如下

jobmanager.rpc.address: node2
jobmanager.bind-host: 0.0.0.0
taskmanager.bind-host: 0.0.0.0
taskmanager.host: node2
rest.address: node2
rest.bind-address: 0.0.0.0

`配置workers`

[hadoop@node2 conf]$ vim workers

把原有内容删除，添加内容如下：

node2
node3
node4

`配置masters`

[hadoop@node2 conf]$ vim masters

修改后内容如下：

node2:8081

分发flink安装目录

确保node3、node4机器已开启的情况下，执行如下分发命令。

[hadoop@node2 conf]$ xsync ~/soft/flink-1.17.1

修改node3和node4的配置

node3

进入node3机器flink的配置目录

[hadoop@node3 ~]$ cd ~/soft/flink-1.17.1/conf/

配置flinke-conf.yaml文件

[hadoop@node3 conf]$ vim flink-conf.yaml

将taskmanager.host的值修改为node3

taskmanager.host: node3

node4

进入node4机器flink的配置目录

[hadoop@node4 ~]$ cd ~/soft/flink-1.17.1/conf/

配置flinke-conf.yaml文件

[hadoop@node4 conf]$ vim flink-conf.yaml

将taskmanager.host的值修改为node4

taskmanager.host: node4

配置node3、node4的环境变量

分别到node3、node4机器配置环境变量

sudo nano /etc/profile.d/my_env.sh

添加如下配置

#FLINK_HOME
export FLINK_HOME=/home/hadoop/soft/flink-1.17.1
export PATH=$PATH:$FLINK_HOME/bin

让环境变量生效

source /etc/profile

验证版本号

flink -v

看到Version: 1.17.1版本号字样，说明环境变量配置成功。

启动flink集群

在node2机器，执行如下命令启动集群

[hadoop@node2 conf]$ start-cluster.sh
Starting cluster.
Starting standalonesession daemon on host node2.
Starting taskexecutor daemon on host node2.
Starting taskexecutor daemon on host node3.
Starting taskexecutor daemon on host node4.

查看进程

分别在node2、node3、node4机器上执行jps查看进程

[hadoop@node2 conf]$ jps
2311 StandaloneSessionClusterEntrypoint
2793 Jps
2667 TaskManagerRunner

[hadoop@node3 conf]$ jps
1972 TaskManagerRunner
2041 Jps

[hadoop@node4 conf]$ jps
2038 Jps
1965 TaskManagerRunner

node2有StandaloneSessionClusterEntrypoint、TaskManagerRunner进程

node3有TaskManagerRunner进程

node4有TaskManagerRunner进程

看到如上进程，说明flink集群配置成功。

Web UI

浏览器访问

node2的ip:8081

或者使用主机名称代替ip访问

node2:8081

注意：如果用windows的浏览器访问，需要先在windows的hosts文件添加ip和主机名node2的映射。

关闭flink集群

[hadoop@node2 ~]$ stop-cluster.sh 
Stopping taskexecutor daemon (pid: 2667) on host node2.
Stopping taskexecutor daemon (pid: 1972) on host node3.
Stopping taskexecutor daemon (pid: 1965) on host node4.
Stopping standalonesession daemon (pid: 2311) on host node2.

查看进程

[hadoop@node2 ~]$ jps
4215 Jps

[hadoop@node3 ~]$ jps
2387 Jps

[hadoop@node4 ~]$ jps
2383 Jps

单独启动/关闭flink进程

单独启动flink进程

$ jobmanager.sh start
$ taskmanager.sh start

node2

[hadoop@node2 ~]$ jobmanager.sh start
Starting standalonesession daemon on host node2.
[hadoop@node2 ~]$ jps
4507 StandaloneSessionClusterEntrypoint
4572 Jps

[hadoop@node2 ~]$ taskmanager.sh start
Starting taskexecutor daemon on host node2.
[hadoop@node2 ~]$ jps
4867 TaskManagerRunner
4507 StandaloneSessionClusterEntrypoint
4940 Jps

node3

[hadoop@node3 ~]$ taskmanager.sh start
Starting taskexecutor daemon on host node3.
[hadoop@node3 ~]$ jps
2695 TaskManagerRunner
2764 Jps

node4

[hadoop@node4 ~]$ taskmanager.sh start
Starting taskexecutor daemon on host node4.
[hadoop@node4 ~]$ jps
2691 TaskManagerRunner
2755 Jps

单独关闭flink进程

$ jobmanager.sh stop
$ taskmanager.sh stop

node4

[hadoop@node4 ~]$ taskmanager.sh stop
Stopping taskexecutor daemon (pid: 2691) on host node4.
[hadoop@node4 ~]$ jps
3068 Jps

node3

[hadoop@node3 ~]$ taskmanager.sh stop
Stopping taskexecutor daemon (pid: 2695) on host node3.
[hadoop@node3 ~]$ jps
3073 Jps

node2

[hadoop@node2 ~]$ taskmanager.sh stop
Stopping taskexecutor daemon (pid: 4867) on host node2.
[hadoop@node2 ~]$ jobmanager.sh stop
Stopping standalonesession daemon (pid: 4507) on host node2.
[hadoop@node2 ~]$ jps
5545 Jps

提交应用测试

启动flink集群

[hadoop@node2 ~]$ start-cluster.sh

运行flink提供的wordcount案例程序

[hadoop@node2 ~]$ cd $FLINK_HOME/
[hadoop@node2 flink-1.17.1]$ flink run examples/streaming/WordCount.jar
Executing example with default input data.
Use --input to specify file input.
Printing result to stdout. Use --output to specify output path.
Job has been submitted with JobID 845db6f62321830f287e71b525e87dbe
Program execution finished
Job with JobID 845db6f62321830f287e71b525e87dbe has finished.
Job Runtime: 1290 ms

查看结果

查看输出的wordcount结果的末尾10行数据

[hadoop@node2 flink-1.17.1]$ tail log/flink-*-taskexecutor-*.out
(nymph,1)
(in,3)
(thy,1)
(orisons,1)
(be,4)
(all,2)
(my,1)
(sins,1)
(remember,1)
(d,4)