2023年4月11日
Hadoop 集群部署指南
大数据 · Hadoop
详细介绍 Hadoop 集群完整部署流程,包括 JDK 和 Hadoop 解压、环境变量配置、各组件配置文件设置和高可用部署
1、解压jdk、hadoop
cd /opt/software/ tar -xvf hadoop-3.1.3.tar.gz tar -xvf jdk-8u212-linux-x64.tar.gz mv hadoop-3.1.3 /opt/module/ mv jdk1.8.0_212 /opt/module
cd /opt/software/ tar -xvf hadoop-3.1.3.tar.gz tar -xvf jdk-8u212-linux-x64.tar.gz mv hadoop-3.1.3 /opt/module/ mv jdk1.8.0_212 /opt/module
cd /opt/software/ tar -xvf hadoop-3.1.3.tar.gz tar -xvf jdk-8u212-linux-x64.tar.gz mv hadoop-3.1.3 /opt/module/ mv jdk1.8.0_212 /opt/module
2、profile配置
vim /etc/profile # JAVA export JAVA_HOME=/opt/module/jdk1.8.0_212 export PATH=$PATH:$JAVA_HOME/bin # HADOOP export HADOOP_HOME=/opt/module/hadoop-3.1.3 export PATH=$PATH:$HADOOP_HOME/bin # HDFS YARN USER export HDFS_NAMENODE_USER=root export HDFS_DATANODE_USER=root export HDFS_SECONDARYNAMENODE_USER=root export YARN_RESOURCEMANAGER_USER=root export YARN_NODEMANAGER_USER=root scp /etc/profile slave1:/etc/profile scp /etc/profile slave2:/etc/profile
vim /etc/profile # JAVA export JAVA_HOME=/opt/module/jdk1.8.0_212 export PATH=$PATH:$JAVA_HOME/bin # HADOOP export HADOOP_HOME=/opt/module/hadoop-3.1.3 export PATH=$PATH:$HADOOP_HOME/bin # HDFS YARN USER export HDFS_NAMENODE_USER=root export HDFS_DATANODE_USER=root export HDFS_SECONDARYNAMENODE_USER=root export YARN_RESOURCEMANAGER_USER=root export YARN_NODEMANAGER_USER=root scp /etc/profile slave1:/etc/profile scp /etc/profile slave2:/etc/profile
vim /etc/profile # JAVA export JAVA_HOME=/opt/module/jdk1.8.0_212 export PATH=$PATH:$JAVA_HOME/bin # HADOOP export HADOOP_HOME=/opt/module/hadoop-3.1.3 export PATH=$PATH:$HADOOP_HOME/bin # HDFS YARN USER export HDFS_NAMENODE_USER=root export HDFS_DATANODE_USER=root export HDFS_SECONDARYNAMENODE_USER=root export YARN_RESOURCEMANAGER_USER=root export YARN_NODEMANAGER_USER=root scp /etc/profile slave1:/etc/profile scp /etc/profile slave2:/etc/profile
source /etc/profile
source /etc/profile
source /etc/profile
测试是否生效
java -version hadoop version
java -version hadoop version
java -version hadoop version
3、core 配置
vim $HADOOP_HOME/etc/hadoop/core-site.xml
vim $HADOOP_HOME/etc/hadoop/core-site.xml
vim $HADOOP_HOME/etc/hadoop/core-site.xml
<?xml version="1.0" encoding="UTF-8"?> <?xml-stylesheet type="text/xsl" href="configuration.xsl"?> <configuration> <!-- 指定 NameNode 的地址 --> <property> <name>fs.defaultFS</name> <value>hdfs://master:8020</value> </property> <!-- 指定 hadoop 数据的存储目录 --> <property> <name>hadoop.tmp.dir</name> <value>/opt/module/hadoop-3.1.3/data</value> </property> <!-- 配置 HDFS 网页登录使用的静态用户为 root --> <property> <name>hadoop.http.staticuser.user</name> <value>root</value> </property> </configuration>
<?xml version="1.0" encoding="UTF-8"?> <?xml-stylesheet type="text/xsl" href="configuration.xsl"?> <configuration> <!-- 指定 NameNode 的地址 --> <property> <name>fs.defaultFS</name> <value>hdfs://master:8020</value> </property> <!-- 指定 hadoop 数据的存储目录 --> <property> <name>hadoop.tmp.dir</name> <value>/opt/module/hadoop-3.1.3/data</value> </property> <!-- 配置 HDFS 网页登录使用的静态用户为 root --> <property> <name>hadoop.http.staticuser.user</name> <value>root</value> </property> </configuration>
<?xml version="1.0" encoding="UTF-8"?> <?xml-stylesheet type="text/xsl" href="configuration.xsl"?> <configuration> <!-- 指定 NameNode 的地址 --> <property> <name>fs.defaultFS</name> <value>hdfs://master:8020</value> </property> <!-- 指定 hadoop 数据的存储目录 --> <property> <name>hadoop.tmp.dir</name> <value>/opt/module/hadoop-3.1.3/data</value> </property> <!-- 配置 HDFS 网页登录使用的静态用户为 root --> <property> <name>hadoop.http.staticuser.user</name> <value>root</value> </property> </configuration>
4、hdfs 配置
vim $HADOOP_HOME/etc/hadoop/hdfs-site.xml
vim $HADOOP_HOME/etc/hadoop/hdfs-site.xml
vim $HADOOP_HOME/etc/hadoop/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>master:9870</value> </property> <!-- 2nn web 端访问地址--> <property> <name>dfs.namenode.secondary.http-address</name> <value>slave1:9868</value> </property> </configuration>
<?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>master:9870</value> </property> <!-- 2nn web 端访问地址--> <property> <name>dfs.namenode.secondary.http-address</name> <value>slave1:9868</value> </property> </configuration>
<?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>master:9870</value> </property> <!-- 2nn web 端访问地址--> <property> <name>dfs.namenode.secondary.http-address</name> <value>slave1:9868</value> </property> </configuration>
5、yarn 配置
vim $HADOOP_HOME/etc/hadoop/yarn-site.xml
vim $HADOOP_HOME/etc/hadoop/yarn-site.xml
vim $HADOOP_HOME/etc/hadoop/yarn-site.xml
<configuration> <!-- 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>master</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_CO NF_DIR,CLASSPATH_PREPEND_DISTCACHE,HADOOP_YARN_HOME,HADOOP_MAP RED_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://master: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>
<configuration> <!-- 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>master</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_CO NF_DIR,CLASSPATH_PREPEND_DISTCACHE,HADOOP_YARN_HOME,HADOOP_MAP RED_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://master: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>
<configuration> <!-- 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>master</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_CO NF_DIR,CLASSPATH_PREPEND_DISTCACHE,HADOOP_YARN_HOME,HADOOP_MAP RED_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://master: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>
6、mapred 配置
vim $HADOOP_HOME/etc/hadoop/mapred-site.xml
vim $HADOOP_HOME/etc/hadoop/mapred-site.xml
vim $HADOOP_HOME/etc/hadoop/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>master:10020</value> </property> <!-- 历史服务器 web 端地址 --> <property> <name>mapreduce.jobhistory.webapp.address</name> <value>master:19888</value> </property> </configuration>
<?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>master:10020</value> </property> <!-- 历史服务器 web 端地址 --> <property> <name>mapreduce.jobhistory.webapp.address</name> <value>master:19888</value> </property> </configuration>
<?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>master:10020</value> </property> <!-- 历史服务器 web 端地址 --> <property> <name>mapreduce.jobhistory.webapp.address</name> <value>master:19888</value> </property> </configuration>
7、hadoop env
vim $HADOOP_HOME/etc/hadoop/hadoop-env.sh # 增加 JAVA_HOME export JAVA_HOME=/opt/module/jdk1.8.0_212
vim $HADOOP_HOME/etc/hadoop/hadoop-env.sh # 增加 JAVA_HOME export JAVA_HOME=/opt/module/jdk1.8.0_212
vim $HADOOP_HOME/etc/hadoop/hadoop-env.sh # 增加 JAVA_HOME export JAVA_HOME=/opt/module/jdk1.8.0_212
8、workers
vim $HADOOP_HOME/etc/hadoop/workers master slave1 slave2
vim $HADOOP_HOME/etc/hadoop/workers master slave1 slave2
vim $HADOOP_HOME/etc/hadoop/workers master slave1 slave2
9、分发配置
scp -r $HADOOP_HOME/etc/hadoop/ slave1:$HADOOP_HOME/etc/ scp -r $HADOOP_HOME/etc/hadoop/ slave2:$HADOOP_HOME/etc
scp -r $HADOOP_HOME/etc/hadoop/ slave1:$HADOOP_HOME/etc/ scp -r $HADOOP_HOME/etc/hadoop/ slave2:$HADOOP_HOME/etc
scp -r $HADOOP_HOME/etc/hadoop/ slave1:$HADOOP_HOME/etc/ scp -r $HADOOP_HOME/etc/hadoop/ slave2:$HADOOP_HOME/etc
10、初始化hdfs
hdfs namenode -format
hdfs namenode -format
hdfs namenode -format
11、启动集群
HDFS
启动 $HADOOP_HOME/sbin/start-dfs.sh 关闭 $HADOOP_HOME/sbin/stop-dfs.sh 访问地址 http://192.168.25.100:9870/
启动 $HADOOP_HOME/sbin/start-dfs.sh 关闭 $HADOOP_HOME/sbin/stop-dfs.sh 访问地址 http://192.168.25.100:9870/
启动 $HADOOP_HOME/sbin/start-dfs.sh 关闭 $HADOOP_HOME/sbin/stop-dfs.sh 访问地址 http://192.168.25.100:9870/
YARN
启动 $HADOOP_HOME/sbin/start-yarn.sh 关闭 $HADOOP_HOME/sbin/stop-yarn.sh 访问地址 http://192.168.25.101:8088/
启动 $HADOOP_HOME/sbin/start-yarn.sh 关闭 $HADOOP_HOME/sbin/stop-yarn.sh 访问地址 http://192.168.25.101:8088/
启动 $HADOOP_HOME/sbin/start-yarn.sh 关闭 $HADOOP_HOME/sbin/stop-yarn.sh 访问地址 http://192.168.25.101:8088/
历史服务器
启动 mapred --daemon start historyserver 关闭 mapred --daemon stop historyserver 访问地址 http://192.168.25.100:19888/
启动 mapred --daemon start historyserver 关闭 mapred --daemon stop historyserver 访问地址 http://192.168.25.100:19888/
启动 mapred --daemon start historyserver 关闭 mapred --daemon stop historyserver 访问地址 http://192.168.25.100:19888/
高可用(HA)的配置文件
参考 https://blog.csdn.net/qq_39604679/article/details/125035946
export HDFS_JOURNALNODE_USER=root export JAVA_HOME=/opt/module/jdk export HDFS_ZKFC_USER=root
export HDFS_JOURNALNODE_USER=root export JAVA_HOME=/opt/module/jdk export HDFS_ZKFC_USER=root
export HDFS_JOURNALNODE_USER=root export JAVA_HOME=/opt/module/jdk export HDFS_ZKFC_USER=root
<?xml version="1.0" encoding="UTF-8"?> <?xml-stylesheet type="text/xsl" href="configuration.xsl"?> <!-- Put site-specific property overrides in this file. --> <configuration> <!-- 把多个NameNode的地址组装成一个集群,集群名字随便取 --> <property> <name>fs.defaultFS</name> <value>hdfs://mycluster</value> </property> <!-- 指定hadoop运行时产生文件的存储目录 --> <property> <name>hadoop.tmp.dir</name> <value>/opt/module/hadoop/tmp</value> </property> <!-- 指定要连接的zkServer地址 --> <property> <name>ha.zookeeper.quorum</name> <value>master:2181,slave1:2181,slave2:2181</value> </property> </configuration>
<?xml version="1.0" encoding="UTF-8"?> <?xml-stylesheet type="text/xsl" href="configuration.xsl"?> <!-- Put site-specific property overrides in this file. --> <configuration> <!-- 把多个NameNode的地址组装成一个集群,集群名字随便取 --> <property> <name>fs.defaultFS</name> <value>hdfs://mycluster</value> </property> <!-- 指定hadoop运行时产生文件的存储目录 --> <property> <name>hadoop.tmp.dir</name> <value>/opt/module/hadoop/tmp</value> </property> <!-- 指定要连接的zkServer地址 --> <property> <name>ha.zookeeper.quorum</name> <value>master:2181,slave1:2181,slave2:2181</value> </property> </configuration>
<?xml version="1.0" encoding="UTF-8"?> <?xml-stylesheet type="text/xsl" href="configuration.xsl"?> <!-- Put site-specific property overrides in this file. --> <configuration> <!-- 把多个NameNode的地址组装成一个集群,集群名字随便取 --> <property> <name>fs.defaultFS</name> <value>hdfs://mycluster</value> </property> <!-- 指定hadoop运行时产生文件的存储目录 --> <property> <name>hadoop.tmp.dir</name> <value>/opt/module/hadoop/tmp</value> </property> <!-- 指定要连接的zkServer地址 --> <property> <name>ha.zookeeper.quorum</name> <value>master:2181,slave1:2181,slave2:2181</value> </property> </configuration>
<?xml version="1.0" encoding="UTF-8"?> <?xml-stylesheet type="text/xsl" href="configuration.xsl"?> <!-- Put site-specific property overrides in this file. --> <configuration> <!-- namenode存储目录 --> <property> <name>dfs.namenode.name.dir</name> <value>/opt/module/hadoop/name</value> </property> <!-- datanode数据存储目录 --> <property> <name>dfs.datanode.data.dir</name> <value>/opt/module/hadoop/data</value> </property> <!-- journalnode数据存储目录 --> <property> <name>dfs.journalnode.edits.dir</name> <value>/opt/module/hadoop/jn</value> </property> <!-- 完全分布式集群名称 --> <property> <name>dfs.nameservices</name> <value>mycluster</value> </property> <!-- 集群中的namenode节点都有哪些 --> <property> <name>dfs.ha.namenodes.mycluster</name> <value>nn1,nn2,nn3</value> </property> <!-- namenode的RPC通信地址 --> <property> <name>dfs.namenode.rpc-address.mycluster.nn1</name> <value>master:9000</value> </property> <property> <name>dfs.namenode.rpc-address.mycluster.nn2</name> <value>slave1:9000</value> </property> <property> <name>dfs.namenode.rpc-address.mycluster.nn3</name> <value>slave2:9000</value> </property> <!-- namenode的http通信地址 --> <property> <name>dfs.namenode.http-address.mycluster.nn1</name> <value>master:9870</value> </property> <property> <name>dfs.namenode.http-address.mycluster.nn2</name> <value>slave1:9870</value> </property> <property> <name>dfs.namenode.http-address.mycluster.nn3</name> <value>slave2:9870</value> </property> <!-- 指定namenode元数据在journalnode上的存放位置,journalnode用于同步主备namenode之间的edits文件 --> <property> <name>dfs.namenode.shared.edits.dir</name> <value>qjournal://master:8485;slave1:8485;slave2:8485/mycluster</value> </property> <!-- 访问代理类:client用于确定哪个NameNode为Active --> <property> <name>dfs.client.failover.proxy.provider.mycluster</name> <value>org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider</value> </property> <!-- 配置隔离机制,即同一时刻只能有一台服务器对外响应 --> <property> <name>dfs.ha.fencing.methods</name> <value> sshfence shell(/bin/true) </value> </property> <!-- 使用隔离机制时需要ssh秘钥登陆 --> <property> <name>dfs.ha.fencing.ssh.private-key-files</name> <value>/root/.ssh/id_rsa</value> </property> <!-- 启用namenode故障自动转移 --> <property> <name>dfs.ha.automatic-failover.enabled</name> <value>true</value> </property> </configuration>
<?xml version="1.0" encoding="UTF-8"?> <?xml-stylesheet type="text/xsl" href="configuration.xsl"?> <!-- Put site-specific property overrides in this file. --> <configuration> <!-- namenode存储目录 --> <property> <name>dfs.namenode.name.dir</name> <value>/opt/module/hadoop/name</value> </property> <!-- datanode数据存储目录 --> <property> <name>dfs.datanode.data.dir</name> <value>/opt/module/hadoop/data</value> </property> <!-- journalnode数据存储目录 --> <property> <name>dfs.journalnode.edits.dir</name> <value>/opt/module/hadoop/jn</value> </property> <!-- 完全分布式集群名称 --> <property> <name>dfs.nameservices</name> <value>mycluster</value> </property> <!-- 集群中的namenode节点都有哪些 --> <property> <name>dfs.ha.namenodes.mycluster</name> <value>nn1,nn2,nn3</value> </property> <!-- namenode的RPC通信地址 --> <property> <name>dfs.namenode.rpc-address.mycluster.nn1</name> <value>master:9000</value> </property> <property> <name>dfs.namenode.rpc-address.mycluster.nn2</name> <value>slave1:9000</value> </property> <property> <name>dfs.namenode.rpc-address.mycluster.nn3</name> <value>slave2:9000</value> </property> <!-- namenode的http通信地址 --> <property> <name>dfs.namenode.http-address.mycluster.nn1</name> <value>master:9870</value> </property> <property> <name>dfs.namenode.http-address.mycluster.nn2</name> <value>slave1:9870</value> </property> <property> <name>dfs.namenode.http-address.mycluster.nn3</name> <value>slave2:9870</value> </property> <!-- 指定namenode元数据在journalnode上的存放位置,journalnode用于同步主备namenode之间的edits文件 --> <property> <name>dfs.namenode.shared.edits.dir</name> <value>qjournal://master:8485;slave1:8485;slave2:8485/mycluster</value> </property> <!-- 访问代理类:client用于确定哪个NameNode为Active --> <property> <name>dfs.client.failover.proxy.provider.mycluster</name> <value>org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider</value> </property> <!-- 配置隔离机制,即同一时刻只能有一台服务器对外响应 --> <property> <name>dfs.ha.fencing.methods</name> <value> sshfence shell(/bin/true) </value> </property> <!-- 使用隔离机制时需要ssh秘钥登陆 --> <property> <name>dfs.ha.fencing.ssh.private-key-files</name> <value>/root/.ssh/id_rsa</value> </property> <!-- 启用namenode故障自动转移 --> <property> <name>dfs.ha.automatic-failover.enabled</name> <value>true</value> </property> </configuration>
<?xml version="1.0" encoding="UTF-8"?> <?xml-stylesheet type="text/xsl" href="configuration.xsl"?> <!-- Put site-specific property overrides in this file. --> <configuration> <!-- namenode存储目录 --> <property> <name>dfs.namenode.name.dir</name> <value>/opt/module/hadoop/name</value> </property> <!-- datanode数据存储目录 --> <property> <name>dfs.datanode.data.dir</name> <value>/opt/module/hadoop/data</value> </property> <!-- journalnode数据存储目录 --> <property> <name>dfs.journalnode.edits.dir</name> <value>/opt/module/hadoop/jn</value> </property> <!-- 完全分布式集群名称 --> <property> <name>dfs.nameservices</name> <value>mycluster</value> </property> <!-- 集群中的namenode节点都有哪些 --> <property> <name>dfs.ha.namenodes.mycluster</name> <value>nn1,nn2,nn3</value> </property> <!-- namenode的RPC通信地址 --> <property> <name>dfs.namenode.rpc-address.mycluster.nn1</name> <value>master:9000</value> </property> <property> <name>dfs.namenode.rpc-address.mycluster.nn2</name> <value>slave1:9000</value> </property> <property> <name>dfs.namenode.rpc-address.mycluster.nn3</name> <value>slave2:9000</value> </property> <!-- namenode的http通信地址 --> <property> <name>dfs.namenode.http-address.mycluster.nn1</name> <value>master:9870</value> </property> <property> <name>dfs.namenode.http-address.mycluster.nn2</name> <value>slave1:9870</value> </property> <property> <name>dfs.namenode.http-address.mycluster.nn3</name> <value>slave2:9870</value> </property> <!-- 指定namenode元数据在journalnode上的存放位置,journalnode用于同步主备namenode之间的edits文件 --> <property> <name>dfs.namenode.shared.edits.dir</name> <value>qjournal://master:8485;slave1:8485;slave2:8485/mycluster</value> </property> <!-- 访问代理类:client用于确定哪个NameNode为Active --> <property> <name>dfs.client.failover.proxy.provider.mycluster</name> <value>org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider</value> </property> <!-- 配置隔离机制,即同一时刻只能有一台服务器对外响应 --> <property> <name>dfs.ha.fencing.methods</name> <value> sshfence shell(/bin/true) </value> </property> <!-- 使用隔离机制时需要ssh秘钥登陆 --> <property> <name>dfs.ha.fencing.ssh.private-key-files</name> <value>/root/.ssh/id_rsa</value> </property> <!-- 启用namenode故障自动转移 --> <property> <name>dfs.ha.automatic-failover.enabled</name> <value>true</value> </property> </configuration>
<?xml version="1.0"?> <configuration> <!-- nodemanager获取数据的方式 --> <property> <name>yarn.nodemanager.aux-services</name> <value>mapreduce_shuffle</value> </property> <!-- 启用resourcemanager ha --> <property> <name>yarn.resourcemanager.ha.enabled</name> <value>true</value> </property> <!-- 声明resourcemanager的地址 --> <property> <name>yarn.resourcemanager.cluster-id</name> <value>cluster-yarn1</value> </property> <!-- 指定resourcemanager的逻辑列表 --> <property> <name>yarn.resourcemanager.ha.rm-ids</name> <value>rm1,rm2,rm3</value> </property> <!-- rm1的配置=-========= --> <!-- 指定rm1的主机名 --> <property> <name>yarn.resourcemanager.hostname.rm1</name> <value>master</value> </property> <!-- 指定rm1的web端地址 --> <property> <name>yarn.resourcemanager.webapp.address.rm1</name> <value>master:8088</value> </property> <!-- rm2的配置=-========= --> <!-- 指定rm2的主机名 --> <property> <name>yarn.resourcemanager.hostname.rm2</name> <value>slave1</value> </property> <!-- 指定rm2的web端地址 --> <property> <name>yarn.resourcemanager.webapp.address.rm2</name> <value>slave1:8088</value> </property> <!-- rm3的配置=-========= --> <!-- 指定rm3的主机名 --> <property> <name>yarn.resourcemanager.hostname.rm3</name> <value>slave2</value> </property> <!-- 指定rm3的web端地址 --> <property> <name>yarn.resourcemanager.webapp.address.rm3</name> <value>slave2:8088</value> </property> <!-- 指定zookeeper集群地址 --> <property> <name>hadoop.zk.address</name> <value>master:2181,slave1:2181,worker2:2181</value> </property> <!-- 启用自动恢复 --> <property> <name>yarn.resourcemanager.recovery.enabled</name> <value>true</value> </property> <!-- 指定resourcemanager的状态信息存储在zookeeper集群 --> <property> <name>yarn.resourcemanager.store.class</name> <value>org.apache.hadoop.yarn.server.resourcemanager.recovery.ZKRMStateStore</value> </property> <!-- 忽略虚拟内存检查 --> <property> <name>yarn.nodemanager.vmem-check-enabled</name> <value>false</value> </property> </configuration>
<?xml version="1.0"?> <configuration> <!-- nodemanager获取数据的方式 --> <property> <name>yarn.nodemanager.aux-services</name> <value>mapreduce_shuffle</value> </property> <!-- 启用resourcemanager ha --> <property> <name>yarn.resourcemanager.ha.enabled</name> <value>true</value> </property> <!-- 声明resourcemanager的地址 --> <property> <name>yarn.resourcemanager.cluster-id</name> <value>cluster-yarn1</value> </property> <!-- 指定resourcemanager的逻辑列表 --> <property> <name>yarn.resourcemanager.ha.rm-ids</name> <value>rm1,rm2,rm3</value> </property> <!-- rm1的配置=-========= --> <!-- 指定rm1的主机名 --> <property> <name>yarn.resourcemanager.hostname.rm1</name> <value>master</value> </property> <!-- 指定rm1的web端地址 --> <property> <name>yarn.resourcemanager.webapp.address.rm1</name> <value>master:8088</value> </property> <!-- rm2的配置=-========= --> <!-- 指定rm2的主机名 --> <property> <name>yarn.resourcemanager.hostname.rm2</name> <value>slave1</value> </property> <!-- 指定rm2的web端地址 --> <property> <name>yarn.resourcemanager.webapp.address.rm2</name> <value>slave1:8088</value> </property> <!-- rm3的配置=-========= --> <!-- 指定rm3的主机名 --> <property> <name>yarn.resourcemanager.hostname.rm3</name> <value>slave2</value> </property> <!-- 指定rm3的web端地址 --> <property> <name>yarn.resourcemanager.webapp.address.rm3</name> <value>slave2:8088</value> </property> <!-- 指定zookeeper集群地址 --> <property> <name>hadoop.zk.address</name> <value>master:2181,slave1:2181,worker2:2181</value> </property> <!-- 启用自动恢复 --> <property> <name>yarn.resourcemanager.recovery.enabled</name> <value>true</value> </property> <!-- 指定resourcemanager的状态信息存储在zookeeper集群 --> <property> <name>yarn.resourcemanager.store.class</name> <value>org.apache.hadoop.yarn.server.resourcemanager.recovery.ZKRMStateStore</value> </property> <!-- 忽略虚拟内存检查 --> <property> <name>yarn.nodemanager.vmem-check-enabled</name> <value>false</value> </property> </configuration>
<?xml version="1.0"?> <configuration> <!-- nodemanager获取数据的方式 --> <property> <name>yarn.nodemanager.aux-services</name> <value>mapreduce_shuffle</value> </property> <!-- 启用resourcemanager ha --> <property> <name>yarn.resourcemanager.ha.enabled</name> <value>true</value> </property> <!-- 声明resourcemanager的地址 --> <property> <name>yarn.resourcemanager.cluster-id</name> <value>cluster-yarn1</value> </property> <!-- 指定resourcemanager的逻辑列表 --> <property> <name>yarn.resourcemanager.ha.rm-ids</name> <value>rm1,rm2,rm3</value> </property> <!-- rm1的配置=-========= --> <!-- 指定rm1的主机名 --> <property> <name>yarn.resourcemanager.hostname.rm1</name> <value>master</value> </property> <!-- 指定rm1的web端地址 --> <property> <name>yarn.resourcemanager.webapp.address.rm1</name> <value>master:8088</value> </property> <!-- rm2的配置=-========= --> <!-- 指定rm2的主机名 --> <property> <name>yarn.resourcemanager.hostname.rm2</name> <value>slave1</value> </property> <!-- 指定rm2的web端地址 --> <property> <name>yarn.resourcemanager.webapp.address.rm2</name> <value>slave1:8088</value> </property> <!-- rm3的配置=-========= --> <!-- 指定rm3的主机名 --> <property> <name>yarn.resourcemanager.hostname.rm3</name> <value>slave2</value> </property> <!-- 指定rm3的web端地址 --> <property> <name>yarn.resourcemanager.webapp.address.rm3</name> <value>slave2:8088</value> </property> <!-- 指定zookeeper集群地址 --> <property> <name>hadoop.zk.address</name> <value>master:2181,slave1:2181,worker2:2181</value> </property> <!-- 启用自动恢复 --> <property> <name>yarn.resourcemanager.recovery.enabled</name> <value>true</value> </property> <!-- 指定resourcemanager的状态信息存储在zookeeper集群 --> <property> <name>yarn.resourcemanager.store.class</name> <value>org.apache.hadoop.yarn.server.resourcemanager.recovery.ZKRMStateStore</value> </property> <!-- 忽略虚拟内存检查 --> <property> <name>yarn.nodemanager.vmem-check-enabled</name> <value>false</value> </property> </configuration>
dataLogDir=/opt/module/zookeeper/logs dataDir=/opt/module/zookeeper/data # the port at which the clients will connect clientPort=2181 server.1=master:2888:3888 server.2=slave1:2888:3888 server.3=slave2:2888:3888
dataLogDir=/opt/module/zookeeper/logs dataDir=/opt/module/zookeeper/data # the port at which the clients will connect clientPort=2181 server.1=master:2888:3888 server.2=slave1:2888:3888 server.3=slave2:2888:3888
dataLogDir=/opt/module/zookeeper/logs dataDir=/opt/module/zookeeper/data # the port at which the clients will connect clientPort=2181 server.1=master:2888:3888 server.2=slave1:2888:3888 server.3=slave2:2888:3888