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本文实战Flink1.7的安装和Demo运行过程；步骤介绍准备工作;下载Flink1.7；安装Flink1.7；启动Flink1.7；体验Flink1.7；准备工作
以下是本次实战的环境信息：
操作系统：CentOS Linux release 7.5.1804JDK：1.8.0_191nc工具：7.50（安装命令是yum install nmap-ncat.x86_64）注意：我在vmware的ubuntu16上试过，启动后Managers、Slots、Available Task Slots的数量都为零，但在实体机器上是没有问题的；CentOS请注意关闭防火墙；下载Flink1.7在Flink官网下载，地址是：https://flink.apache.org/downloads.html如下图，选择红框中的版本：
安装Flink1.7Flink1.7的安装很简单，解压即可，如下所示：下载的Flink安装包文件是flink-1.7.0-bin-hadoop28-scala_2.11.tgz，放在此位置：/usr/local/work；在/usr/local/work目录下执行命令tar -zxvf flink-1.7.0-bin-hadoop28-scala_2.11.tgz解压，会生成一个文件夹：flink-1.7.0启动Flink1.7在文件夹flink-1.7.0下执行命令./bin/start-cluster.sh即可启动Flink，启动信息如下：[root@vostro flink-1.7.0]# ./bin/start-cluster.sh Starting cluster.Starting standalonesession daemon on host vostro.Starting taskexecutor daemon on host vostro.在flink-1.7.0/log目录下可以看到名为flink-root-standalonesession-0-vostro.log**的日志文件(您的文件名和我这里略有不同，vostro是我的主机名，root是当前账号)，内容如下：2018-12-16 16:51:00,658 INFO org.apache.flink.runtime.dispatcher.DispatcherRestEndpoint – Rest endpoint listening at localhost:80812018-12-16 16:51:00,658 INFO org.apache.flink.runtime.dispatcher.DispatcherRestEndpoint – http://localhost:8081 was granted leadership with leaderSessionID=00000000-0000-0000-0000-0000000000002018-12-16 16:51:00,658 INFO org.apache.flink.runtime.dispatcher.DispatcherRestEndpoint – Web frontend listening at http://localhost:8081.2018-12-16 16:51:00,760 INFO org.apache.flink.runtime.rpc.akka.AkkaRpcService – Starting RPC endpoint for org.apache.flink.runtime.resourcemanager.StandaloneResourceManager at akka://flink/user/resourcemanager .2018-12-16 16:51:00,777 INFO org.apache.flink.runtime.rpc.akka.AkkaRpcService – Starting RPC endpoint for org.apache.flink.runtime.dispatcher.StandaloneDispatcher at akka://flink/user/dispatcher .2018-12-16 16:51:00,803 INFO org.apache.flink.runtime.resourcemanager.StandaloneResourceManager – ResourceManager akka.tcp://flink@localhost:6123/user/resourcemanager was granted leadership with fencing token 000000000000000000000000000000002018-12-16 16:51:00,804 INFO org.apache.flink.runtime.resourcemanager.slotmanager.SlotManager – Starting the SlotManager.2018-12-16 16:51:00,847 INFO org.apache.flink.runtime.dispatcher.StandaloneDispatcher – Dispatcher akka.tcp://flink@localhost:6123/user/dispatcher was granted leadership with fencing token 00000000-0000-0000-0000-0000000000002018-12-16 16:51:00,849 INFO org.apache.flink.runtime.dispatcher.StandaloneDispatcher – Recovering all persisted jobs.2018-12-16 16:51:01,601 INFO org.apache.flink.runtime.resourcemanager.StandaloneResourceManager – Registering TaskManager with ResourceID a0692f62811e0452256484a5e46ec5ed (akka.tcp://flink@vostro:40228/user/taskmanager_0) at ResourceManager2018-12-16 17:19:09,663 INFO org.apache.flink.runtime.entrypoint.ClusterEntrypoint – RECEIVED SIGNAL 15: SIGTERM. Shutting down as requested.2018-12-16 17:19:09,663 INFO org.apache.flink.runtime.blob.TransientBlobCache – Shutting down BLOB cache2018-12-16 17:19:09,668 INFO org.apache.flink.runtime.blob.BlobServer – Stopped BLOB server at 0.0.0.0:35234
我的机器IP地址为192.168.1.103，因此在浏览器访问http://192.168.1.103:8081，可以见到如下信息：
至此，Flink1.7安装、部署、启动完成；体验Flink1.7在机器上执行以下命令连接本机9000端口：nc -l 9000在文件夹flink-1.7.0下执行以下命令，即可监听本机9000端口，等待该端口的数据：./bin/flink run examples/streaming/SocketWindowWordCount.jar –port 9000此时再去刷新web页面，可见如下信息，新增了一个Job：
在执行了nc -l 9000命令的窗口，输入一些句子，每输完一个就按下回车键，如下：[root@vostro work]# nc -l 9000hello flink worldaaa bbb cccflink startstart flink study, flink go这样就将上述字符串发送到本机9000端口；在flink-1.7.0/log目录下，会有flink-root-taskexecutor-0-vostro.out文件出现，您的文件名可能略有不同，其中vostro是我这边的主机名，root是当前账号，打开这个文件看看，出现以下内容：[root@vostro work]# nc -l 9000hello flink worldaaa bbb cccflink startstart flink study, flink go
可见任务已正常执行，每个句子中的单词数量都被统计出来了；
至此，我们完成了Flink的初体验，在后续的实战中咱们再一起逐渐深入的体验Flink这个强大的框架；欢迎关注51CTO博客：程序员欣宸
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