flink部署操作-flink standalone集群安装部署

深碍√TFBOYSˉ_ 2022-05-28 22:36 257阅读 0赞

# flink集群安装部署 #

## standalone集群模式 ##

*  必须依赖

1.  必须的软件
2.  JAVA\_HOME配置

*  flink安装

1.  配置flink
2.  启动flink
3.  添加Jobmanager/taskmanager 实例到集群

*  个人真实环境实践安装步骤

### 必须依赖 ###

必须的软件

flink运行在所有类unix环境中，例如：linux、mac、或者cygwin，并且集群由一个master节点和一个或者多个worker节点。在你开始安装系统之前，确保你有在每个节点上安装以下软件。

*  java 1.8.x或者更高
 *  ssh

如果你的集群没有这些软件，你需要安装或者升级他们。注意：一般linux服务器上都有ssh，但是java是需要自己安装的。

在集群的所有节点上需要配置SSH免密码登录。

JAVA\_HOME配置

flink需要在集群的所有节点(master节点和worker节点)配置JAVA\_HOME，指向安装在机器上的java。

你可以在这个文件中进行配置：conf/flink-conf.yaml  通过env.java.home这个key。

### flink安装 ###

去[下载页面][Link 1]随时下载安装包。确保选择flink安装包匹配到你的hadoop版本。如果你不打算使用hadoop的话，可以选择任意版本。

下载最新版本之后，把安装包上传到你的master节点，然后解压：

tar xzf flink-*.tgz
    cd flink-*

配置flink

解压之后，需要修改conf/flink-conf.yaml

设置jobmanager.rpc.address的值为master节点的ip或者主机名。你也可以定义每个节点上允许jvm申请的最大内存，使用jobmanager.heap.mb和taskmanager.heap.mb

这两个参数的值的单位都是MB，如果有一些节点想要分配更多的内存，可以通过覆盖这个参数的默认值 FLINK\_TM\_HEAP

最后，你需要提供一个节点列表作为worker节点。因为，类似于HDFS配置，修改文件conf/slaves 然后在里面输入每一个worker节点的ip/hostname 。每一个worker节点将运行一个taskmanager程序。

下面的例子说明了三个节点的配置：(ip地址从10.0.0.1到10.0.0.3 对应的主机名 master worker1 worker2)并显示配置文件的内容(需要访问所有机器的相同路径)

![70][]

vi /path/to/flink/conf/flink-conf.yaml
    
    jobmanager.rpc.address: 10.0.0.1
    
    
    vi /path/to/flink/conf/slaves
    
    10.0.0.2
    10.0.0.3

flink目录必须在每一个worker节点的相同路劲。你可以使用一个共享的NFS目录，或者拷贝整个flink目录到每一个worker节点。

有关配置的详细信息，请[参见详细的配置页面][Link 2]进行查看。

下面这几个参数的配置值非常重要。

*  Jobmanager可用内存(jobmanager.heap.mb)
 *  taskmanager可用内存(taskmanager.heap.mb)
 *  每个机器可用cpu数量(taskmanager.numberOfTaskSlots)
 *  集群中的总cpu数量(parallelism.default)
 *  节点临时目录(taskmanager.tmp.dirs)

启动flink

下面的脚本将会在本机启动一个jobmanager节点，然后通过SSH连接到slaves文件中的所有worker节点，在worker节点上面启动taskmanager。现在flink启动并且运行。在本地运行的jobmanager现在将会通过配置的RPC端口接收任务。

确认你在master节点并且进入flink目录：

bin/start-cluster.sh

停止flink，需要使用stop-cluster.sh脚本

添加jobmanager或者taskmanager实例到集群

你可以通过bin/jobmanager.sh脚本和bin/taskmanager.sh脚本向一个运行中的集群添加jobmanager和taskmanager。

添加jobmanager

bin/jobmanager.sh ((start|start-foreground) cluster)|stop|stop-all

添加taskmanager

bin/taskmanager.sh start|start-foreground|stop|stop-all

## ##

### 个人真实环境实践安装步骤 ###

以上的内容来源于官网文档翻译

下面的内容来自于本人在真实环境的一个安装步骤：

集群环境规划：三台机器，一主两从

hadoop100 jobManager
    hadoop101 taskManager
    hadoop102 taskManager
    
    注意：
    1：这几台节点之间需要互相配置好SSH免密码登录。(至少要配置hadoop100可以免密码登录hadoop101和hadoop102)
    2：这几台节点需要安装jdk1.8及以上，并且在/etc/profile中配置环境变量JAVA_HOME
    例如：
    export JAVA_HOME=/usr/local/jdk
    export PATH=.:$JAVA_HOME/bin:$PATH

1：上传flink安装包到hadoop100节点的/usr/local目录下，然后解压

cd /usr/local
    tar -zxvf flink-1.4.1-bin-hadoop27-scala_2.11.tgz

2：修改hadoop100节点上的flink的配置文件

cd /usr/local/flink-1.4.1/conf
    vi flink-conf.yaml
    # 修改此参数的值，改为主节点的主机名
    jobmanager.rpc.address: hadoop100
    
    
    vi slaves
    hadoop101
    hadoop102

3：把修改好配置文件的flink目录拷贝到其他两个节点

scp -rq /usr/local/flink-1.4.1 hadoop101:/usr/local
    scp -rq /usr/local/flink-1.4.1 hadoop102:/usr/local

4：在hadoop100节点启动集群

cd /usr/local/flink-1.4.1
    bin/start-cluster.sh

执行上面命令以后正常将会看到以下日志输出：

Using the result of 'hadoop classpath' to augment the Hadoop classpath: /usr/local/hadoop/etc/hadoop:/usr/local/hadoop/share/hadoop/common/lib/*:/usr/local/hadoop/share/hadoop/common/*:/usr/local/hadoop/share/hadoop/hdfs:/usr/local/hadoop/share/hadoop/hdfs/lib/*:/usr/local/hadoop/share/hadoop/hdfs/*:/usr/local/hadoop/share/hadoop/yarn/lib/*:/usr/local/hadoop/share/hadoop/yarn/*:/usr/local/hadoop/share/hadoop/mapreduce/lib/*:/usr/local/hadoop/share/hadoop/mapreduce/*:/usr/local/hadoop/contrib/capacity-scheduler/*.jar
    Starting cluster.
    Using the result of 'hadoop classpath' to augment the Hadoop classpath: /usr/local/hadoop/etc/hadoop:/usr/local/hadoop/share/hadoop/common/lib/*:/usr/local/hadoop/share/hadoop/common/*:/usr/local/hadoop/share/hadoop/hdfs:/usr/local/hadoop/share/hadoop/hdfs/lib/*:/usr/local/hadoop/share/hadoop/hdfs/*:/usr/local/hadoop/share/hadoop/yarn/lib/*:/usr/local/hadoop/share/hadoop/yarn/*:/usr/local/hadoop/share/hadoop/mapreduce/lib/*:/usr/local/hadoop/share/hadoop/mapreduce/*:/usr/local/hadoop/contrib/capacity-scheduler/*.jar
    Using the result of 'hadoop classpath' to augment the Hadoop classpath: /usr/local/hadoop/etc/hadoop:/usr/local/hadoop/share/hadoop/common/lib/*:/usr/local/hadoop/share/hadoop/common/*:/usr/local/hadoop/share/hadoop/hdfs:/usr/local/hadoop/share/hadoop/hdfs/lib/*:/usr/local/hadoop/share/hadoop/hdfs/*:/usr/local/hadoop/share/hadoop/yarn/lib/*:/usr/local/hadoop/share/hadoop/yarn/*:/usr/local/hadoop/share/hadoop/mapreduce/lib/*:/usr/local/hadoop/share/hadoop/mapreduce/*:/usr/local/hadoop/contrib/capacity-scheduler/*.jar
    Starting jobmanager daemon on host hadoop100.
    Using the result of 'hadoop classpath' to augment the Hadoop classpath: /usr/local/hadoop/etc/hadoop:/usr/local/hadoop/share/hadoop/common/lib/*:/usr/local/hadoop/share/hadoop/common/*:/usr/local/hadoop/share/hadoop/hdfs:/usr/local/hadoop/share/hadoop/hdfs/lib/*:/usr/local/hadoop/share/hadoop/hdfs/*:/usr/local/hadoop/share/hadoop/yarn/lib/*:/usr/local/hadoop/share/hadoop/yarn/*:/usr/local/hadoop/share/hadoop/mapreduce/lib/*:/usr/local/hadoop/share/hadoop/mapreduce/*:/usr/local/hadoop/contrib/capacity-scheduler/*.jar
    Using the result of 'hadoop classpath' to augment the Hadoop classpath: /usr/local/hadoop/etc/hadoop:/usr/local/hadoop/share/hadoop/common/lib/*:/usr/local/hadoop/share/hadoop/common/*:/usr/local/hadoop/share/hadoop/hdfs:/usr/local/hadoop/share/hadoop/hdfs/lib/*:/usr/local/hadoop/share/hadoop/hdfs/*:/usr/local/hadoop/share/hadoop/yarn/lib/*:/usr/local/hadoop/share/hadoop/yarn/*:/usr/local/hadoop/share/hadoop/mapreduce/lib/*:/usr/local/hadoop/share/hadoop/mapreduce/*:/usr/local/hadoop/contrib/capacity-scheduler/*.jar
    Starting taskmanager daemon on host hadoop101.
    Starting taskmanager daemon on host hadoop102.

5：验证集群启动情况

查看进程：

在hadoop100节点上执行jps，可以看到：
    3785 JobManager
    
    在hadoop101节点上执行jps，可以看到：
    2534 TaskManager
    
    在hadoop101节点上执行jps，可以看到：
    2402 TaskManager
    
    能看到对应的jobmanager和taskmanager进程即可。

如果启动失败了，请查看对应的日志：

cd /usr/local/flink-1.4.1/log
    
    针对jobmanager节点：
    more flink-root-jobmanager-0-hadoop100.log
    
    针对taskmanager节点：
    more flink-root-taskmanager-0-hadoop101.log
    more flink-root-taskmanager-0-hadoop102.log
    
    查看此日志文件中是否有异常日志信息

6：访问集群web界面

http://hadoop100:8081

![format_png][]

7：停止集群

在hadoop100节点上执行下面命令
    cd /usr/local/flink-1.4.1
    bin/stop-cluster.sh

执行停止命令之后将会看到下面日志输出：

Using the result of 'hadoop classpath' to augment the Hadoop classpath: /usr/local/hadoop/etc/hadoop:/usr/local/hadoop/share/hadoop/common/lib/*:/usr/local/hadoop/share/hadoop/common/*:/usr/local/hadoop/share/hadoop/hdfs:/usr/local/hadoop/share/hadoop/hdfs/lib/*:/usr/local/hadoop/share/hadoop/hdfs/*:/usr/local/hadoop/share/hadoop/yarn/lib/*:/usr/local/hadoop/share/hadoop/yarn/*:/usr/local/hadoop/share/hadoop/mapreduce/lib/*:/usr/local/hadoop/share/hadoop/mapreduce/*:/usr/local/hadoop/contrib/capacity-scheduler/*.jar
    Using the result of 'hadoop classpath' to augment the Hadoop classpath: /usr/local/hadoop/etc/hadoop:/usr/local/hadoop/share/hadoop/common/lib/*:/usr/local/hadoop/share/hadoop/common/*:/usr/local/hadoop/share/hadoop/hdfs:/usr/local/hadoop/share/hadoop/hdfs/lib/*:/usr/local/hadoop/share/hadoop/hdfs/*:/usr/local/hadoop/share/hadoop/yarn/lib/*:/usr/local/hadoop/share/hadoop/yarn/*:/usr/local/hadoop/share/hadoop/mapreduce/lib/*:/usr/local/hadoop/share/hadoop/mapreduce/*:/usr/local/hadoop/contrib/capacity-scheduler/*.jar
    Using the result of 'hadoop classpath' to augment the Hadoop classpath: /usr/local/hadoop/etc/hadoop:/usr/local/hadoop/share/hadoop/common/lib/*:/usr/local/hadoop/share/hadoop/common/*:/usr/local/hadoop/share/hadoop/hdfs:/usr/local/hadoop/share/hadoop/hdfs/lib/*:/usr/local/hadoop/share/hadoop/hdfs/*:/usr/local/hadoop/share/hadoop/yarn/lib/*:/usr/local/hadoop/share/hadoop/yarn/*:/usr/local/hadoop/share/hadoop/mapreduce/lib/*:/usr/local/hadoop/share/hadoop/mapreduce/*:/usr/local/hadoop/contrib/capacity-scheduler/*.jar
    Stopping taskmanager daemon (pid: 3321) on host hadoop101.
    Stopping taskmanager daemon (pid: 3088) on host hadoop102.
    Using the result of 'hadoop classpath' to augment the Hadoop classpath: /usr/local/hadoop/etc/hadoop:/usr/local/hadoop/share/hadoop/common/lib/*:/usr/local/hadoop/share/hadoop/common/*:/usr/local/hadoop/share/hadoop/hdfs:/usr/local/hadoop/share/hadoop/hdfs/lib/*:/usr/local/hadoop/share/hadoop/hdfs/*:/usr/local/hadoop/share/hadoop/yarn/lib/*:/usr/local/hadoop/share/hadoop/yarn/*:/usr/local/hadoop/share/hadoop/mapreduce/lib/*:/usr/local/hadoop/share/hadoop/mapreduce/*:/usr/local/hadoop/contrib/capacity-scheduler/*.jar
    Using the result of 'hadoop classpath' to augment the Hadoop classpath: /usr/local/hadoop/etc/hadoop:/usr/local/hadoop/share/hadoop/common/lib/*:/usr/local/hadoop/share/hadoop/common/*:/usr/local/hadoop/share/hadoop/hdfs:/usr/local/hadoop/share/hadoop/hdfs/lib/*:/usr/local/hadoop/share/hadoop/hdfs/*:/usr/local/hadoop/share/hadoop/yarn/lib/*:/usr/local/hadoop/share/hadoop/yarn/*:/usr/local/hadoop/share/hadoop/mapreduce/lib/*:/usr/local/hadoop/share/hadoop/mapreduce/*:/usr/local/hadoop/contrib/capacity-scheduler/*.jar
    Stopping jobmanager daemon (pid: 5341) on host hadoop100.

再去对应的节点上执行jps进程发现对应的jobmanager和taskmanager进程都没有了。

**获取更多大数据资料，视频以及技术交流请加群：**

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3h1NDcwNDM4MDAw_size_16_color_FFFFFF_t_70][]

[Link 1]: http://flink.apache.org/downloads.html
[70]: /images/20220529/9c0b5e15d9bb4532be38903284c17169.png
[Link 2]: https://ci.apache.org/projects/flink/flink-docs-release-1.4/ops/config.html
[format_png]: /images/20220529/5b0cf25c1abe447ea32f0deda266c8af.png
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3h1NDcwNDM4MDAw_size_16_color_FFFFFF_t_70]: /images/20220529/409e92b26fbc458d8080aad9c60bf806.png