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hadoop-daemon.sh与hadoop-daemons.sh区别
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hadoop-daemon.sh只能本地执行
hadoop-daemons.sh能远程执行
1. 启动JN
hadoop-daemons.sh start journalnode
hdfs namenode -initializeSharedEdits //复制edits log文件到journalnode节点上，第一次创建得在格式化namenode之后使用
http://hadoop-yarn1:8480来看journal是否正常
2.格式化namenode，并启动Active Namenode
一、Active NameNode节点上格式化namenode
hdfs namenode -format
hdfs namenode -initializeSharedEdits
初始化journalnode完毕
二、启动Active Namenode
hadoop-daemon.sh start namenode
3.启动 Standby namenode
一、Standby namenode节点上格式化Standby节点
复制Active Namenode上的元数据信息拷贝到Standby Namenode节点上
hdfs namenode -bootstrapStandby
二、启动Standby节点
hadoop-daemon.sh start namenode
4.启动Automatic Failover
在zookeeper上创建 /hadoop-ha/ns1这样一个监控节点(ZNode)
hdfs zkfc -formatZK
start-dfs.sh
5.查看namenode状态
hdfs haadmin -getServiceState nn1 active
6.自动failover
hdfs haadmin -failover nn1 nn2
配置文件详细信息
core-site.xml
fs.defaultFS hdfs://ns1 hadoop.tmp.dir /opt/modules/hadoop-2.2.0/data/tmp fs.trash.interval 60*24 ha.zookeeper.quorum hadoop-yarn1:2181,hadoop-yarn2:2181,hadoop-yarn3:2181 hadoop.http.staticuser.user yuanhai
hdfs-site.xml
dfs.replication 3 dfs.nameservices ns1 dfs.ha.namenodes.ns1 nn1,nn2 dfs.namenode.rpc-address.ns1.nn1 hadoop-yarn1:8020 dfs.namenode.rpc-address.ns1.nn2 hadoop-yarn2:8020 dfs.namenode.http-address.ns1.nn1 hadoop-yarn1:50070 dfs.namenode.http-address.ns1.nn2 hadoop-yarn2:50070 dfs.namenode.shared.edits.dir qjournal://hadoop-yarn1:8485;hadoop-yarn2:8485;hadoop-yarn3:8485/ns1 dfs.journalnode.edits.dir /opt/modules/hadoop-2.2.0/data/tmp/journal dfs.ha.automatic-failover.enabled true dfs.client.failover.proxy.provider.ns1 org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider dfs.ha.fencing.methods sshfence dfs.ha.fencing.ssh.private-key-files /home/hadoop/.ssh/id_rsa dfs.permissions.enabled false
slaves
hadoop-yarn1 hadoop-yarn2 hadoop-yarn3
yarn-site.xml
yarn.nodemanager.aux-services mapreduce_shuffle yarn.resourcemanager.hostname hadoop-yarn1 yarn.log-aggregation-enable true yarn.log-aggregation.retain-seconds 604800
mapred-site.xml
mapreduce.framework.name yarn mapreduce.jobhistory.address hadoop-yarn1:10020 MapReduce JobHistory Server IPC host:port mapreduce.jobhistory.webapp.address hadoop-yarn1:19888 MapReduce JobHistory Server Web UI host:port mapreduce.job.ubertask.enable true
hadoop-env.sh
export JAVA_HOME=/opt/modules/jdk1.6.0_24
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