flink学习之旅(二)-编程知识

flink学习之旅(二)

目前flink中的资源管理主要是使用的hadoop圈里的yarn，故此需要先搭建hadoop环境并启动yarn和hdfs，由于看到的教程都是集群版，现实是只有1台机器，故此都是使用这台机器安装。

1.下载对应hadoop安装包

https://dlcdn.apache.org/hadoop/common/hadoop-3.3.5/hadoop-3.3.5.tar.gz

2.解压到指定路径比如这里我选择的如下：

3.修改hadoop相关配置

cd /root/dxy/hadoop/hadoop-3.3.5/etc/hadoop

vi core-site.xml 核心配置文件

<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<!--Licensed under the Apache License, Version 2.0 (the "License");you may not use this file except in compliance with the License.You may obtain a copy of the License athttp://www.apache.org/licenses/LICENSE-2.0Unless required by applicable law or agreed to in writing, softwaredistributed under the License is distributed on an "AS IS" BASIS,WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.See the License for the specific language governing permissions andlimitations under the License. See accompanying LICENSE file.
--><!-- Put site-specific property overrides in this file. --><configuration>
<!-- 指定NameNode的地址 --><property><name>fs.defaultFS</name><value>hdfs://10.26.141.203:8020</value></property><!-- hadoop数据的存储目录 --><property><name>hadoop.tmp.dir</name><value>/root/dxy/hadoop/hadoop-3.3.5/datas</value></property><property><name>hadoop.http.staticuser.user</name><value>root</value></property>
</configuration>

vi hdfs-site.xml 修改hdfs配置文件


<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<!--Licensed under the Apache License, Version 2.0 (the "License");you may not use this file except in compliance with the License.You may obtain a copy of the License athttp://www.apache.org/licenses/LICENSE-2.0Unless required by applicable law or agreed to in writing, softwaredistributed under the License is distributed on an "AS IS" BASIS,WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.See the License for the specific language governing permissions andlimitations under the License. See accompanying LICENSE file.
--><!-- Put site-specific property overrides in this file. --><configuration>
<!-- 指定NameNode的外部web访问地址 --><property><name>dfs.namenode.http-address</name><value>10.26.141.203:9870</value></property><!-- 指定secondary NameNode的外部web访问地址 --><property><name>dfs.namenode.secondary.http-address</name><value>10.26.141.203:9868</value></property>
</configuration>

vi yarn-site.xml 修改yarn配置

<?xml version="1.0"?>
<!--Licensed under the Apache License, Version 2.0 (the "License");you may not use this file except in compliance with the License.You may obtain a copy of the License athttp://www.apache.org/licenses/LICENSE-2.0Unless required by applicable law or agreed to in writing, softwaredistributed under the License is distributed on an "AS IS" BASIS,WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.See the License for the specific language governing permissions andlimitations under the License. See accompanying LICENSE file.
-->
<configuration><!-- Site specific YARN configuration properties -->
<!--指定MR走shuffle --><property><name>yarn.nodemanager.aux-services</name><value>mapreduce_shuffle</value></property><!--指定ResourceManager的地址--><property><name>yarn.resourcemanager.hostname</name><value>10.26.141.203</value></property><!--环境变量的继承--><property><name>yarn.nodemanager.env-whitelist</name><value>JAVA_HOME,HADOOP_COMMON_HOME,HADOOP_HDFS_HOME,HADOOP_CONF_DIR,CLASSPATH_PREPEND_DISTCACHE,HADOOP_YARN_HOME,HADOOP_MAPRED_HOME</value></property></configuration>
~

vim mapred-site.xml

<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?><configuration><!-- 指定MapReduce程序运行在Yarn上 --><property><name>mapreduce.framework.name</name><value>yarn</value></property>
</configuration>

vi workers 填上服务器ip 如：

10.26.141.203

修改环境变量：

export HADOOP_HOME=/root/dxy/hadoop/hadoop-3.3.5
export PATH=$PATH:$HADOOP_HOME/bin
export PATH=$PATH:$HADOOP_HOME/sbin

export HADOOP_CONF_DIR=${HADOOP_HOME}/etc/hadoop
export HADOOP_CLASSPATH=`hadoop classpath`

source /etc/profile

完成后可以执行hadoop version 查看是否配置成功如下：