大家好,我是考100分的小小码 ,祝大家学习进步,加薪顺利呀。今天说一说完全分布式Hadoop3.X的搭建[亲测有效],希望您对编程的造诣更进一步.
准备工作以及安装Hadoop之前的操作和Hadoop2.X的安装相同,在我上一篇博客中,这里不做过多介绍
https://www.cnblogs.com/lmandcc/p/15306163.html
1. 写一些关键脚本,利于后续集群使用
1.1集群分发脚本xsync
cd /bin/
vim xsyn
#!/bin/bash #1. 判断参数个数
if [ $# -lt 1 ]
then echo Not Enough Arguement! exit; fi #2. 遍历集群所有机器
for host in hadoop102 hadoop103 hadoop104 do echo ==================== $host ====================
#3. 遍历所有目录,挨个发送
for file in $@
do
#4. 判断文件是否存在
if [ -e $file ] then #5. 获取父目录
pdir=$(cd -P $(dirname $file); pwd) #6. 获取当前文件的名称
fname=$(basename $file) ssh $host "mkdir -p $pdir" rsync -av $pdir/$fname $host:$pdir
else echo $file does not exists! fi done done
1.2 查看节点Java进程脚本 jpsall
vim jpsall
#!/bin/bash for i in hadoop102 hadoop103 hadoop104 do echo =============== $i =============== ssh $i "$*" "/usr/local/soft/jdk1.8.0_212/bin/jps" done
1.3 控制Hadoop启动和停止脚本
vim myhadoop
#!/bin/bash
if [ $# -lt 1 ]
then echo "No Args Input..." exit ; fi case $1 in
"start") echo " =================== 启动 hadoop集群 ===================" echo " --------------- 启动 hdfs ---------------" ssh hadoop102 "/usr/local/soft/hadoop-3.1.3/sbin/start-dfs.sh" echo " --------------- 启动 yarn ---------------" ssh hadoop103 "/usr/local/soft/hadoop-3.1.3/sbin/start-yarn.sh" echo " --------------- 启动 historyserver ---------------" ssh hadoop102 "/usr/local/soft/hadoop-3.1.3/bin/mapred --daemon start his toryserver";; "stop") echo " =================== 关闭 hadoop集群 ===================" echo " --------------- 关闭 historyserver ---------------" ssh hadoop102 "/usr/local/soft/hadoop-3.1.3/bin/mapred --daemon stop hist oryserver" echo " --------------- 关闭 yarn ---------------" ssh hadoop103 "/usr/local/soft/hadoop-3.1.3/sbin/stop-yarn.sh" echo " --------------- 关闭 hdfs ---------------" ssh hadoop102 "/usr/local/soft/hadoop-3.1.3/sbin/stop-dfs.sh" ;; *) echo "Input Args Error..." ;; esac
注意:这里每个脚本都需要修改读写权限:chmod 777 脚本名称
2. 将Hadoop3.1.3用xftp导入Hadoop102中
3. 解压Hadoop文件
tar -zxvf /usr/local/module/hadoop-3.1.3.tar.gz -C /usr/local/soft
4. 配置环境变量
export JAVA_HOME=/usr/local/soft/jdk1.8.0_212 export PATH=$PATH:$JAVA_HOME/bin export HADOOP_HOME=/usr/local/soft/hadoop-3.1.3 export PATH=$PATH:$HADOOP_HOME/bin:$HADOOP_HOME/sbin export REDIS_HOME=/usr/local/soft/redis/ export PATH=$PATH:$REDIS_HOME/bin
5. 集群配置搭建
1) 集群部署规划
备注:NameNode和SecondaryNameNode不要安装在同一台服务器
备注:ResourceManager也很消耗内存,不要和NameNode、SecondaryNameNode配置在同一台机器上。
hadoop102 |
hadoop103 |
hadoop104 |
|
HDFS
|
NameNode DataNode |
DataNode |
SecondaryNameNode DataNode |
YARN |
NodeManager |
ResourceManager NodeManager |
NodeManager |
2)配置集群
cd /usr/local/soft/hadoop-3.1.3/etc/hadoop
(a) 核心配置文件 core.site.xml
<configuration> <!-- 指定NameNode的地址 --> <property> <name>fs.defaultFS</name> <value>hdfs://hadoop102:8020</value> </property> <!-- 指定hadoop数据的存储目录 --> <property> <name>hadoop.tmp.dir</name> <value>/usr/local/soft/hadoop-3.1.3/data</value> </property> </configuration>
(b)HDFS文件 hdfs-site.xml
<?xml version="1.0" encoding="UTF-8"?> <?xml-stylesheet type="text/xsl" href="configuration.xsl"?> <configuration> <!-- nn web端访问地址--> <property> <name>dfs.namenode.http-address</name> <value>hadoop102:9870</value> </property> <!-- 2nn web端访问地址--> <property> <name>dfs.namenode.secondary.http-address</name> <value>hadoop104:9868</value> </property> <property> <name>dfs.permissions.enabled</name> <value>false</value> </property> <property> <name> dfs.client.block.write.replace-datanode-on-failure.enable </name> <value>true</value> </property> <property> <name> dfs.client.block.write.replace-datanode-on-failure.policy </name> <value>never</value> </property> <property> <name>dfs.webhdfs.enabled</name> <value>true</value> </property> </configuration>
(c)YARN配置文件 yarn-site.xml
<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>hadoop103</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,CLAS SPATH_PREPEND_DISTCACHE,HADOOP_YARN_HOME,HADOOP_MAPRED_HOME</value> </property> <!-- 开启日志聚集功能 --> <property> <name>yarn.log-aggregation-enable</name> <value>true</value> </property> <!-- 设置日志聚集服务器地址 --> <property> <name>yarn.log.server.url</name> <value>http://hadoop102:19888/jobhistory/logs</value> </property> <!-- 设置日志保留时间为7天 --> <property> <name>yarn.log-aggregation.retain-seconds</name> <value>604800</value> </property> </configuration>
(d)MapReduce配置文件 mapred-site.xml
在这里需要重命名mapred-site.xml.template
命令:mv mapred-site.xml.template 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> <!-- 历史服务器端地址 --> <property> <name>mapreduce.jobhistory.address</name> <value>hadoop102:10020</value> </property> <!-- 历史服务器web端地址 --> <property> <name>mapreduce.jobhistory.webapp.address</name> <value>hadoop102:19888</value> </property> </configuration>
(e)配置workers
(f)在/hadoop/sbin路径下:将start-dfs.sh,stop-dfs.sh两个文件顶部添加以下参数
HDFS_DATANODE_USER=root HADOOP_SECURE_DN_USER=hdfs HDFS_NAMENODE_USER=root HDFS_SECONDARYNAMENODE_USER=root
(g)start-yarn.sh,stop-yarn.sh顶部也需添加以下
YARN_RESOURCEMANAGER_USER=root HADOOP_SECURE_DN_USER=yarn YARN_NODEMANAGER_USER=root
6.分发Hadoop给剩余节点
xsync /usr/local/soft/hadoop-3.1.3
7. 启动集群
如果集群是第一次启动,需要在hadoop102节点格式化NameNode
使用myhadoop start 启动集群
使用jpsall查看Java进程
如果配置文件不出错的话,应该和我Java进程相同
8.停止Hadoop集群
myhadoop stop
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