前提条件
阿里云CentOS7安装好jdk，官方文档要求java 11，使用java 8也可以。可参 hadoop安装 的jdk安装部分。
下载安装包
下载安装包
[hadoop@node1 ~]$ cd softinstall/ [hadoop@node1 softinstall]$ wget https://archive.apache.org/dist/flink/flink-1.17.1/flink-1.17.1-bin-scala_2.12.tgz
查看安装包
[hadoop@node1 softinstall]$ ls apache-zookeeper-3.7.1-bin.tar.gz hadoop-3.3.4.tar.gz kafka_2.12-3.3.1.tgz flink-1.17.1-bin-scala_2.12.tgz jdk-8u271-linux-x64.tar.gz
解压安装包
解压安装包
[hadoop@node1 softinstall]$ tar -zxvf flink-1.17.1-bin-scala_2.12.tgz -C ~/soft
查看解压后的文件
[hadoop@node1 softinstall]$ cd ~/soft [hadoop@node1 soft]$ ls apache-zookeeper-3.7.1-bin flink-1.17.1 hadoop-3.3.4 jdk1.8.0_271 kafka_2.12-3.3.1
设置环境变量
[hadoop@node1 soft]$ sudo nano /etc/profile.d/my_env.sh
添加如下内容
export FLINK_HOME=/home/hadoop/soft/flink-1.17.1 export PATH=$PATH:$FLINK_HOME/bin
让环境变量立即生效
[hadoop@node1 soft]$ source /etc/profile
验证版本号
[hadoop@node1 soft]$ flink -v Version: 1.17.1, Commit ID: 2750d5c
配置Flink
查看Flink配置文件
[hadoop@node1 soft]$ cd $FLINK_HOME [hadoop@node1 flink]$ ls bin conf examples lib LICENSE licenses log NOTICE opt plugins README.txt [hadoop@node1 flink]$ cd conf [hadoop@node1 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@node1 conf]$ vim flink-conf.yaml
找到如下配置项，修改内容如下，其中node1是机器主机名，注意根据实际情况修改。
jobmanager.rpc.address: node1 jobmanager.bind-host: 0.0.0.0 taskmanager.bind-host: 0.0.0.0 taskmanager.host: node1 rest.address: node1 rest.bind-address: 0.0.0.0
配置master
[hadoop@node1 conf]$ nano masters
修改内容为
node1:8081
配置worker
[hadoop@node1 conf]$ nano workers
修改内容为
node1
启动/关闭flink集群
查看flink的命令
[hadoop@node1 conf]$ cd $FLINK_HOME/bin [hadoop@node1 bin]$ ls bash-java-utils.jar flink-daemon.sh kubernetes-taskmanager.sh start-cluster.sh yarn-session.sh config.sh historyserver.sh pyflink-shell.sh start-zookeeper-quorum.sh zookeeper.sh find-flink-home.sh jobmanager.sh sql-client.sh stop-cluster.sh flink kubernetes-jobmanager.sh sql-gateway.sh stop-zookeeper-quorum.sh flink-console.sh kubernetes-session.sh standalone-job.sh taskmanager.sh [hadoop@node1 bin]$
启动flink集群
[hadoop@node1 flink-1.17.1]$ start-cluster.sh Starting cluster. Starting standalonesession daemon on host node1. Starting taskexecutor daemon on host node1.
查看进程
[hadoop@node1 flink-1.17.1]$ jps 13527 Jps 13177 StandaloneSessionClusterEntrypoint 13503 TaskManagerRunner
关闭flink集群
[hadoop@node1 flink-1.17.1]$ stop-cluster.sh Stopping taskexecutor daemon (pid: 13503) on host node1. Stopping standalonesession daemon (pid: 13177) on host node1.
查看进程
[hadoop@node1 flink-1.17.1]$ jps 14760 Jps
单独启动flink进程
[hadoop@node1 flink-1.17.1]$ jobmanager.sh start [hadoop@node1 flink-1.17.1]$ taskmanager.sh start
操作过程如下
[hadoop@node1 flink-1.17.1]$ jobmanager.sh Usage: jobmanager.sh ((start|start-foreground) [args])|stop|stop-all [hadoop@node1 flink-1.17.1]$ jobmanager.sh start Starting standalonesession daemon on host node1. [hadoop@node1 flink-1.17.1]$ jps 15300 StandaloneSessionClusterEntrypoint 15316 Jps [hadoop@node1 flink-1.17.1]$ taskmanager.sh Usage: taskmanager.sh (start|start-foreground|stop|stop-all) [hadoop@node1 flink-1.17.1]$ taskmanager.sh start Starting taskexecutor daemon on host node1. [hadoop@node1 flink-1.17.1]$ jps 15300 StandaloneSessionClusterEntrypoint 15668 TaskManagerRunner 15693 Jps
单独关闭flink进程
[hadoop@node1 flink-1.17.1]$ taskmanager.sh stop [hadoop@node1 flink-1.17.1]$ jobmanager.sh stop
操作过程如下
[hadoop@node1 flink-1.17.1]$ taskmanager.sh stop Stopping taskexecutor daemon (pid: 15668) on host node1. [hadoop@node1 flink-1.17.1]$ jps 15300 StandaloneSessionClusterEntrypoint 16232 Jps [hadoop@node1 flink-1.17.1]$ jobmanager.sh stop Stopping standalonesession daemon (pid: 15300) on host node1. [hadoop@node1 flink-1.17.1]$ jps 16544 Jps
访问Web UI
启动flink集群
start-cluster.sh
在阿里云的安全组放开8081端口
访问
云服务器公网IP:8081
提交flink作业
运行flink提供的WordCount程序案例
[hadoop@node1 examples]$ cd $FLINK_HOME [hadoop@node1 flink-1.17.1]$ 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 c4fcf3a5266af2d7e0df713d5bfdce85 Program execution finished Job with JobID c4fcf3a5266af2d7e0df713d5bfdce85 has finished. Job Runtime: 3139 ms
查看作业结果
查看输出的WordCount结果的末尾10行数据
[hadoop@node1 flink-1.17.1]$ tail log/flink-*-taskexecutor-*.out ==> log/flink-hadoop-taskexecutor-0-node1.out <== Java HotSpot(TM) 64-Bit Server VM warning: INFO: os::commit_memory(0x00000000e0000000, 536870912, 0) failed; error='Cannot allocate memory' (errno=12) # # There is insufficient memory for the Java Runtime Environment to continue. # Native memory allocation (mmap) failed to map 536870912 bytes for committing reserved memory. # An error report file with more information is saved as: # /home/hadoop/hs_err_pid10313.log ==> log/flink-hadoop-taskexecutor-1-node1.out <== (nymph,1) (in,3) (thy,1) (orisons,1) (be,4) (all,2) (my,1) (sins,1) (remember,1) (d,4)
Web UI查看提交的作业
在Task Managers查看作业输出结果
遇到的问题
启动flink，jps进程不对，查看log
[hadoop@node1 log]$ cat flink-hadoop-standalonesession-0-node1.out Java HotSpot(TM) 64-Bit Server VM warning: INFO: os::commit_memory(0x00000000d5550000, 715849728, 0) failed; error='Cannot allocate memory' (errno=12) # # There is insufficient memory for the Java Runtime Environment to continue. # Native memory allocation (mmap) failed to map 715849728 bytes for committing reserved memory. # An error report file with more information is saved as: # /home/hadoop/soft/flink-1.17.1/bin/hs_err_pid10001.log
云服务器内存不足，关闭一些开启的进程来释放资源，或者提升云服务器配置，即可解决。
参考：First steps | Apache Flink
完成！enjoy it！