本文前半部分配置高可用集群参考Hadoop HA高可用集群搭建（2.7.2），后半部分是解决在个人环境中配置遇到的一些问题。（由于遇到的问题较多，已迁移【hadoop】HA集群遇到的问题）
配置HA 集群
- 配置zk 的zoo.cfg，由于zk的master是选举的，所以zk节点的格式必须为单数且至少3个，在该集群中，只有4个节点，所以设置master2、slave1、slave2为zk节点
- 配置hadoop各个文件：
- core-site.xml：
<configuration> <!-- 指定hdfs的nameservice为ns1 --> <property> <name>fs.defaultFS</name> <value>hdfs://ns1/</value> </property> <!-- 指定hadoop临时目录 --> <property> <name>hadoop.tmp.dir</name> <value>file:/usr/local/hadoop/tmp</value> </property> <!-- 指定zookeeper地址 --> <property> <name>ha.zookeeper.quorum</name> <value>master2:2181,slave1:2181,slave2:2181</value> </property> </configuration> - hdfs-site.xml:
<configuration> <!--指定hdfs的nameservice为ns1，需要和core-site.xml中的保持一致 --> <property> <name>dfs.nameservices</name> <value>ns1</value> </property> <!-- ns1下面有两个NameNode，分别是nn1，nn2 --> <property> <name>dfs.ha.namenodes.ns1</name> <value>nn1,nn2</value> </property> <!-- nn1的RPC通信地址 --> <property> <name>dfs.namenode.rpc-address.ns1.nn1</name> <value>master1:9000</value> </property> <!-- nn1的http通信地址 --> <property> <name>dfs.namenode.http-address.ns1.nn1</name> <value>master1:50070</value> </property> <!-- nn2的RPC通信地址 --> <property> <name>dfs.namenode.rpc-address.ns1.nn2</name> <value>master2:9000</value> </property> <!-- nn2的http通信地址 --> <property> <name>dfs.namenode.http-address.ns1.nn2</name> <value>master2:50070</value> </property> <!-- 指定NameNode的元数据在JournalNode上的存放位置 --> <property> <name>dfs.namenode.shared.edits.dir</name> <value>qjournal://master2:8485;slave1:8485;slave2:8485/ns1</value> </property> <!-- 指定JournalNode在本地磁盘存放数据的位置 --> <property> <name>dfs.journalnode.edits.dir</name> <value>/usr/local/hadoop/journaldata</value> </property> <!-- 开启NameNode失败自动切换 --> <property> <name>dfs.ha.automatic-failover.enabled</name> <value>true</value> </property> <!-- 配置失败自动切换实现方式 --> <property> <name>dfs.client.failover.proxy.provider.ns1</name> <value>org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider</value> </property> <!-- 配置隔离机制方法，多个机制用换行分割，即每个机制暂用一行--> <property> <name>dfs.ha.fencing.methods</name> <value> sshfence shell(/bin/true) </value> </property> <!-- 使用sshfence隔离机制时需要ssh免登陆 --> <property> <name>dfs.ha.fencing.ssh.private-key-files</name> <value>/root/.ssh/id_rsa</value> </property> <!-- 配置sshfence隔离机制超时时间 --> <property> <name>dfs.ha.fencing.ssh.connect-timeout</name> <value>30000</value> </property> <!-- 配置namenod存放文件夹 --> <property> <name>dfs.namenode.name.dir</name> <value>file:/usr/local/hadoop/hdfs/name</value> </property> <!-- 配置datanode数据存放文件夹 --> <property> <name>dfs.datanode.data.dir</name> <value>file:/usr/local/hadoop/hdfs/data</value> </property> <!-- 配置文件副本 --> <property> <name>dfs.replication</name> <value>2</value> </property> <property> <name>dfs.webhdfs.enabled</name> <value>true</value> </property> </configuration> - mapred-site.xml
<configuration> <property> <name>mapreduce.framework.name</name> <value>yarn</value> </property> <property> <name>mapreduce.jobhistory.address</name> <value>192.168.159.129:10020</value> </property> <property> <name>mapreduce.jobhistory.webapp.address</name> <value>192.168.159.129:19888</value> </property> </configuration> - yarn-site.xml(该集群大概率不会用到yarn)
<configuration> <!-- Site specific YARN configuration properties --> <!-- 开启RM高可用 --> <property> <name>yarn.resourcemanager.ha.enabled</name> <value>true</value> </property> <!-- 指定RM的cluster id --> <property> <name>yarn.resourcemanager.cluster-id</name> <value>yrc</value> </property> <!-- 指定RM的名字 --> <property> <name>yarn.resourcemanager.ha.rm-ids</name> <value>rm1,rm2</value> </property> <!-- 分别指定RM的地址 --> <property> <name>yarn.resourcemanager.hostname.rm1</name> <value>master1</value> </property> <property> <name>yarn.resourcemanager.hostname.rm2</name> <value>master2</value> </property> <!-- 指定zk集群地址 --> <property> <name>yarn.resourcemanager.zk-address</name> <value>master2:2181,slave1:2181,slave2:2181</value> </property> <property> <name>yarn.nodemanager.aux-services</name> <value>mapreduce_shuffle</value> </property> </configuration> - slaves
#就两个datanode节点
- core-site.xml：
- 启动zookeeper集群（分别在master2、slave1、slave2上启动zookeeper）
[[email protected] bin]# ./zkServer.sh start ZooKeeper JMX enabled by default Using config: /usr/local/zookeeper/bin/../conf/zoo.cfg Starting zookeeper ... STARTED --- [[email protected] bin]# ./zkServer.sh start ZooKeeper JMX enabled by default Using config: /usr/local/zookeeper/bin/../conf/zoo.cfg Starting zookeeper ... STARTED --- [[email protected] bin]# ./zkServer.sh start ZooKeeper JMX enabled by default Using config: /usr/local/zookeeper/bin/../conf/zoo.cfg Starting zookeeper ... STARTED - 启动journalnode（分别在master2、slave1、slave2上启动journalnode）注意只有第一次需要这么启动，之后启动hdfs会包含journalnode
[root@master2 bin]# cd /usr/local/hadoop/sbin/ [root@master2 sbin]# ./hadoop-daemon.sh start journalnode starting journalnode, logging to /usr/local/hadoop/logs/hadoop-root-journalnode-master2.out [root@master2 sbin]# jps QuorumPeerMain JournalNode Jps --- [root@slave1 bin]# cd /usr/local/hadoop/sbin/ [root@slave1 sbin]# ./hadoop-daemon.sh start journalnode starting journalnode, logging to /usr/local/hadoop/logs/hadoop-root-journalnode-slave1.out [root@slave1 sbin]# jps JournalNode QuorumPeerMain Jps --- [root@slave2 bin]# cd /usr/local/hadoop/sbin/ [root@slave2 sbin]# ./hadoop-daemon.sh start journalnode starting journalnode, logging to /usr/local/hadoop/logs/hadoop-root-journalnode-slave2.out [root@slave2 sbin]# jps JournalNode QuorumPeerMain Jps - 格式化HDFS(在master1上执行)
- 格式化ZKFC(在master1上执行)
- 启动HDFS
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