Hadoop2.7.6_08_Federation联邦机制
程序员文章站
2022-08-13 16:40:12
前言： 本文章是在 Hadoop2.7.6_07_HA高可用 的基础上完成的，所以不清楚的可参见这篇文章。 1. Hadoop的federation机制 文件的元数据是放在namenode上的，只有一个Namespace（命名空间）。随着HDFS的数据越来越多，单个namenode的资源使用必然会达 ......
前言：
本文章是在 Hadoop2.7.6_07_HA高可用 的基础上完成的，所以不清楚的可参见这篇文章。
1. Hadoop的federation机制
文件的元数据是放在namenode上的，只有一个Namespace（命名空间）。随着HDFS的数据越来越多，单个namenode的资源使用必然会达到上限，而且namenode的负载能力也会越来越高，限制HDFS的性能。
Federation即为“联邦”，该特性允许一个HDFS集群中存在多个NameNode同时对外提供服务，这些NameNode分管一部分目录（水平切分），彼此之间相互隔离，但共享底层的DataNode存储资源。
1.1. HDFS-federation图解
2. 主机规划
|
主机名称 |
外网IP |
内网IP |
操作系统 |
备注 |
安装软件 |
运行进程 |
|
mini01 |
10.0.0.111 |
172.16.1.111 |
CentOS 7.4 |
ssh port:22 |
jdk、hadoop |
NameNode、DFSZKFailoverController(zkfc) |
|
mini02 |
10.0.0.112 |
172.16.1.112 |
CentOS 7.4 |
ssh port:22 |
jdk、hadoop |
NameNode、DFSZKFailoverController(zkfc) |
|
mini03 |
10.0.0.113 |
172.16.1.113 |
CentOS 7.4 |
ssh port:22 |
jdk、hadoop、zookeeper |
NameNode、ResourceManager |
|
mini04 |
10.0.0.114 |
172.16.1.114 |
CentOS 7.4 |
ssh port:22 |
jdk、hadoop、zookeeper |
NameNode、ResourceManager |
|
mini05 |
10.0.0.115 |
172.16.1.115 |
CentOS 7.4 |
ssh port:22 |
jdk、hadoop、zookeeper |
DataNode、NodeManager、JournalNode、QuorumPeerMain |
|
mini06 |
10.0.0.116 |
172.16.1.116 |
CentOS 7.4 |
ssh port:22 |
jdk、hadoop、zookeeper |
DataNode、NodeManager、JournalNode、QuorumPeerMain |
|
mini07 |
10.0.0.117 |
172.16.1.117 |
CentOS 7.4 |
ssh port:22 |
jdk、hadoop、zookeeper |
DataNode、NodeManager、JournalNode、QuorumPeerMain |
注意：此规划是在HA的基础上进行的federation，即 mini01和mini02做HA，mini03和mini04做HA；之后再做federation。 HA的配置请参见：Hadoop2.7.6_07_HA高可用
Linux添加hosts信息，保证每台都可以相互ping通
1 [root@mini01 ~]# cat /etc/hosts 2 127.0.0.1 localhost localhost.localdomain localhost4 localhost4.localdomain4 3 ::1 localhost localhost.localdomain localhost6 localhost6.localdomain6 4 5 10.0.0.111 mini01 6 10.0.0.112 mini02 7 10.0.0.113 mini03 8 10.0.0.114 mini04 9 10.0.0.115 mini05 10 10.0.0.116 mini06 11 10.0.0.117 mini07
Windows的hosts文件修改
1 # 文件位置C:\Windows\System32\drivers\etc 在hosts中追加如下内容 2 ………………………………………… 3 10.0.0.111 mini01 4 10.0.0.112 mini02 5 10.0.0.113 mini03 6 10.0.0.114 mini04 7 10.0.0.115 mini05 8 10.0.0.116 mini06 9 10.0.0.117 mini07
2.1. 注意事项
其中添加yun用户、实现yun用户免秘钥登录、Jdk【java8】、Zookeeper部署；请参见
3. Hadoop部署与配置修改
注意：每台机器的Hadoop以及配置相同
3.1. 部署
1 [yun@mini01 software]$ pwd 2 /app/software 3 [yun@mini01 software]$ ll 4 total 194152 5 -rw-r--r-- 1 yun yun 198811365 Jun 8 16:36 CentOS-7.4_hadoop-2.7.6.tar.gz 6 [yun@mini01 software]$ tar xf CentOS-7.4_hadoop-2.7.6.tar.gz 7 [yun@mini01 software]$ mv hadoop-2.7.6/ /app/ 8 [yun@mini01 software]$ cd 9 [yun@mini01 ~]$ ln -s hadoop-2.7.6/ hadoop 10 [yun@mini01 ~]$ ll 11 total 4 12 lrwxrwxrwx 1 yun yun 13 Jun 9 16:21 hadoop -> hadoop-2.7.6/ 13 drwxr-xr-x 9 yun yun 149 Jun 8 16:36 hadoop-2.7.6 14 lrwxrwxrwx 1 yun yun 12 May 26 11:18 jdk -> jdk1.8.0_112 15 drwxr-xr-x 8 yun yun 255 Sep 23 2016 jdk1.8.0_112
3.2. 环境变量
1 [root@mini01 profile.d]# pwd 2 /etc/profile.d 3 [root@mini01 profile.d]# vim hadoop.sh 4 export HADOOP_HOME="/app/hadoop" 5 export PATH=$HADOOP_HOME/bin:$HADOOP_HOME/sbin:$PATH 6 7 [root@mini01 profile.d]# source /etc/profile # 生效
3.3. core-site.xml
1 [yun@mini01 hadoop]$ pwd 2 /app/hadoop/etc/hadoop 3 [yun@mini01 hadoop]$ vim core-site.xml 4 <?xml version="1.0" encoding="UTF-8"?> 5 <?xml-stylesheet type="text/xsl" href="configuration.xsl"?> 6 <!-- 7 ……………… 8 --> 9 10 <!-- Put site-specific property overrides in this file. --> 11 12 <configuration> 13 <property> 14 <name>fs.defaultFS</name> 15 <value>viewfs:///</value> 16 </property> 17 18 <property> 19 <name>fs.viewfs.mounttable.default.link./bi</name> 20 <value>hdfs://bi/</value> 21 </property> 22 23 <property> 24 <name>fs.viewfs.mounttable.default.link./dt</name> 25 <value>hdfs://dt/</value> 26 </property> 27 28 29 <!-- 指定hadoop临时目录 --> 30 <property> 31 <name>hadoop.tmp.dir</name> 32 <value>/app/hadoop/tmp</value> 33 </property> 34 35 <!-- 指定zookeeper地址 --> 36 <property> 37 <name>ha.zookeeper.quorum</name> 38 <value>mini03:2181,mini04:2181,mini05:2181,mini06:2181,mini07:2181</value> 39 </property> 40 41 </configuration>
3.4. hdfs-site.xml
3.4.1. 在mini01和mini02中
1 # 在mini01、mini02、mini05、mini06、mini07 可使用如下配置 2 [yun@mini01 hadoop]$ pwd 3 /app/hadoop/etc/hadoop 4 [yun@mini01 hadoop]$ vim hdfs-site.xml 5 <?xml version="1.0" encoding="UTF-8"?> 6 <?xml-stylesheet type="text/xsl" href="configuration.xsl"?> 7 <!-- 8 …………………… 9 --> 10 11 <!-- Put site-specific property overrides in this file. --> 12 13 <configuration> 14 <!--指定hdfs的nameservice为bi,dt，需要和core-site.xml中的保持一致 --> 15 <property> 16 <name>dfs.nameservices</name> 17 <value>bi,dt</value> 18 </property> 19 20 <!-- bi下面有两个NameNode，分别是nn1，nn2 --> 21 <property> 22 <name>dfs.ha.namenodes.bi</name> 23 <value>nn1,nn2</value> 24 </property> 25 26 <!-- dt下面有两个NameNode，分别是nn3，nn4 --> 27 <property> 28 <name>dfs.ha.namenodes.dt</name> 29 <value>nn3,nn4</value> 30 </property> 31 32 33 <!-- nn1的RPC通信地址 --> 34 <property> 35 <name>dfs.namenode.rpc-address.bi.nn1</name> 36 <value>mini01:9000</value> 37 </property> 38 <!-- nn1的http通信地址 --> 39 <property> 40 <name>dfs.namenode.http-address.bi.nn1</name> 41 <value>mini01:50070</value> 42 </property> 43 44 <!-- nn2的RPC通信地址 --> 45 <property> 46 <name>dfs.namenode.rpc-address.bi.nn2</name> 47 <value>mini02:9000</value> 48 </property> 49 <!-- nn2的http通信地址 --> 50 <property> 51 <name>dfs.namenode.http-address.bi.nn2</name> 52 <value>mini02:50070</value> 53 </property> 54 55 56 <!-- nn3的RPC通信地址 --> 57 <property> 58 <name>dfs.namenode.rpc-address.dt.nn3</name> 59 <value>mini03:9000</value> 60 </property> 61 <!-- nn3的http通信地址 --> 62 <property> 63 <name>dfs.namenode.http-address.dt.nn3</name> 64 <value>mini03:50070</value> 65 </property> 66 67 <!-- nn4的RPC通信地址 --> 68 <property> 69 <name>dfs.namenode.rpc-address.dt.nn4</name> 70 <value>mini04:9000</value> 71 </property> 72 <!-- nn4的http通信地址 --> 73 <property> 74 <name>dfs.namenode.http-address.dt.nn4</name> 75 <value>mini04:50070</value> 76 </property> 77 78 79 <!-- 指定NameNode的edits元数据在JournalNode上的存放位置 --> 80 <!-- 在bi名称空间的两个namenode中用如下配置 --> 81 <property> 82 <name>dfs.namenode.shared.edits.dir</name> 83 <value>qjournal://mini05:8485;mini06:8485;mini07:8485/bi</value> 84 </property> 85 <!-- 在dt名称空间的两个namenode中用如下配置 # 在mini01和mini02中注释掉 --> 86 <!-- 87 <property> 88 <name>dfs.namenode.shared.edits.dir</name> 89 <value>qjournal://mini05:8485;mini06:8485;mini07:8485/dt</value> 90 </property> 91 --> 92 93 94 <!-- 指定JournalNode在本地磁盘存放数据的位置 --> 95 <property> 96 <name>dfs.journalnode.edits.dir</name> 97 <value>/app/hadoop/journaldata</value> 98 </property> 99 100 <!-- 开启NameNode失败自动切换 --> 101 <property> 102 <name>dfs.ha.automatic-failover.enabled</name> 103 <value>true</value> 104 </property> 105 106 <!-- 配置失败自动切换实现方式 --> 107 <property> 108 <name>dfs.client.failover.proxy.provider.bi</name> 109 <value>org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider</value> 110 </property> 111 <property> 112 <name>dfs.client.failover.proxy.provider.dt</name> 113 <value>org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider</value> 114 </property> 115 116 117 <!-- 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--> 118 <!-- 其中shell(/bin/true) 表示可执行一个脚本 比如 shell(/app/yunwei/hadoop_fence.sh) --> 119 <property> 120 <name>dfs.ha.fencing.methods</name> 121 <value> 122 sshfence 123 shell(/bin/true) 124 </value> 125 </property> 126 127 <!-- 使用sshfence隔离机制时需要ssh免登陆 --> 128 <property> 129 <name>dfs.ha.fencing.ssh.private-key-files</name> 130 <value>/app/.ssh/id_rsa</value> 131 </property> 132 133 <!-- 配置sshfence隔离机制超时时间 单位：毫秒 --> 134 <property> 135 <name>dfs.ha.fencing.ssh.connect-timeout</name> 136 <value>30000</value> 137 </property> 138 139 140 </configuration>
3.4.2. 在mini03和mini04中
1 # 在mini03、mini04 可使用如下配置 2 [yun@mini01 hadoop]$ pwd 3 /app/hadoop/etc/hadoop 4 [yun@mini01 hadoop]$ vim hdfs-site.xml 5 <?xml version="1.0" encoding="UTF-8"?> 6 <?xml-stylesheet type="text/xsl" href="configuration.xsl"?> 7 <!-- 8 …………………… 9 --> 10 11 <!-- Put site-specific property overrides in this file. --> 12 13 <configuration> 14 <!--指定hdfs的nameservice为bi,dt，需要和core-site.xml中的保持一致 --> 15 <property> 16 <name>dfs.nameservices</name> 17 <value>bi,dt</value> 18 </property> 19 20 <!-- bi下面有两个NameNode，分别是nn1，nn2 --> 21 <property> 22 <name>dfs.ha.namenodes.bi</name> 23 <value>nn1,nn2</value> 24 </property> 25 26 <!-- dt下面有两个NameNode，分别是nn3，nn4 --> 27 <property> 28 <name>dfs.ha.namenodes.dt</name> 29 <value>nn3,nn4</value> 30 </property> 31 32 33 <!-- nn1的RPC通信地址 --> 34 <property> 35 <name>dfs.namenode.rpc-address.bi.nn1</name> 36 <value>mini01:9000</value> 37 </property> 38 <!-- nn1的http通信地址 --> 39 <property> 40 <name>dfs.namenode.http-address.bi.nn1</name> 41 <value>mini01:50070</value> 42 </property> 43 44 <!-- nn2的RPC通信地址 --> 45 <property> 46 <name>dfs.namenode.rpc-address.bi.nn2</name> 47 <value>mini02:9000</value> 48 </property> 49 <!-- nn2的http通信地址 --> 50 <property> 51 <name>dfs.namenode.http-address.bi.nn2</name> 52 <value>mini02:50070</value> 53 </property> 54 55 56 <!-- nn3的RPC通信地址 --> 57 <property> 58 <name>dfs.namenode.rpc-address.dt.nn3</name> 59 <value>mini03:9000</value> 60 </property> 61 <!-- nn3的http通信地址 --> 62 <property> 63 <name>dfs.namenode.http-address.dt.nn3</name> 64 <value>mini03:50070</value> 65 </property> 66 67 <!-- nn4的RPC通信地址 --> 68 <property> 69 <name>dfs.namenode.rpc-address.dt.nn4</name> 70 <value>mini04:9000</value> 71 </property> 72 <!-- nn4的http通信地址 --> 73 <property> 74 <name>dfs.namenode.http-address.dt.nn4</name> 75 <value>mini04:50070</value> 76 </property> 77 78 79 <!-- 指定NameNode的edits元数据在JournalNode上的存放位置 --> 80 <!-- 在bi名称空间的两个namenode中用如下配置 # 在mini03和mini04中注释掉 --> 81 <!-- 82 <property> 83 <name>dfs.namenode.shared.edits.dir</name> 84 <value>qjournal://mini05:8485;mini06:8485;mini07:8485/bi</value> 85 </property> 86 --> 87 <!-- 在dt名称空间的两个namenode中用如下配置 # 在mini01和mini02中注释掉 --> 88 <property> 89 <name>dfs.namenode.shared.edits.dir</name> 90 <value>qjournal://mini05:8485;mini06:8485;mini07:8485/dt</value> 91 </property> 92 93 94 <!-- 指定JournalNode在本地磁盘存放数据的位置 --> 95 <property> 96 <name>dfs.journalnode.edits.dir</name> 97 <value>/app/hadoop/journaldata</value> 98 </property> 99 100 <!-- 开启NameNode失败自动切换 --> 101 <property> 102 <name>dfs.ha.automatic-failover.enabled</name> 103 <value>true</value> 104 </property> 105 106 <!-- 配置失败自动切换实现方式 --> 107 <property> 108 <name>dfs.client.failover.proxy.provider.bi</name> 109 <value>org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider</value> 110 </property> 111 <property> 112 <name>dfs.client.failover.proxy.provider.dt</name> 113 <value>org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider</value> 114 </property> 115 116 117 <!-- 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--> 118 <!-- 其中shell(/bin/true) 表示可执行一个脚本 比如 shell(/app/yunwei/hadoop_fence.sh) --> 119 <property> 120 <name>dfs.ha.fencing.methods</name> 121 <value> 122 sshfence 123 shell(/bin/true) 124 </value> 125 </property> 126 127 <!-- 使用sshfence隔离机制时需要ssh免登陆 --> 128 <property> 129 <name>dfs.ha.fencing.ssh.private-key-files</name> 130 <value>/app/.ssh/id_rsa</value> 131 </property> 132 133 <!-- 配置sshfence隔离机制超时时间 单位：毫秒 --> 134 <property> 135 <name>dfs.ha.fencing.ssh.connect-timeout</name> 136 <value>30000</value> 137 </property> 138 139 140 </configuration>
3.5. mapred-site.xml
1 # 较上篇文章无改变 2 [yun@mini01 hadoop]$ pwd 3 /app/hadoop/etc/hadoop 4 [yun@mini01 hadoop]$ cp -a mapred-site.xml.template mapred-site.xml 5 [yun@mini01 hadoop]$ vim mapred-site.xml 6 <?xml version="1.0"?> 7 <?xml-stylesheet type="text/xsl" href="configuration.xsl"?> 8 <!-- 9 …………………… 10 --> 11 12 <!-- Put site-specific property overrides in this file. --> 13 14 <configuration> 15 <!-- 指定mr框架为yarn方式 --> 16 <property> 17 <name>mapreduce.framework.name</name> 18 <value>yarn</value> 19 </property> 20 21 </configuration>
3.6. yarn-site.xml
1 # 较上篇文章无改变 2 [yun@mini01 hadoop]$ pwd 3 /app/hadoop/etc/hadoop 4 [yun@mini01 hadoop]$ vim yarn-site.xml 5 <?xml version="1.0"?> 6 <!-- 7 …………………… 8 --> 9 <configuration> 10 11 <!-- Site specific YARN configuration properties --> 12 <!-- 开启RM高可用 --> 13 <property> 14 <name>yarn.resourcemanager.ha.enabled</name> 15 <value>true</value> 16 </property> 17 18 <!-- 指定RM的cluster id --> 19 <property> 20 <name>yarn.resourcemanager.cluster-id</name> 21 <value>yrc</value> 22 </property> 23 24 <!-- 指定RM的名字 --> 25 <property> 26 <name>yarn.resourcemanager.ha.rm-ids</name> 27 <value>rm1,rm2</value> 28 </property> 29 30 <!-- 分别指定RM的地址 --> 31 <property> 32 <name>yarn.resourcemanager.hostname.rm1</name> 33 <value>mini03</value> 34 </property> 35 <property> 36 <name>yarn.resourcemanager.hostname.rm2</name> 37 <value>mini04</value> 38 </property> 39 40 <!-- 指定zk集群地址 --> 41 <property> 42 <name>yarn.resourcemanager.zk-address</name> 43 <value>mini03:2181,mini04:2181,mini05:2181,mini06:2181,mini07:2181</value> 44 </property> 45 46 <!-- reduce 获取数据的方式 --> 47 <property> 48 <name>yarn.nodemanager.aux-services</name> 49 <value>mapreduce_shuffle</value> 50 </property> 51 52 53 </configuration>
3.7. 修改slaves
slaves是指定子节点的位置，因为要在mini01上启动HDFS、在mini03启动yarn，所以mini01上的slaves文件指定的是datanode的位置，mini03上的slaves文件指定的是nodemanager的位置
1 # 较上篇文章无改变 2 [yun@mini01 hadoop]$ pwd 3 /app/hadoop/etc/hadoop 4 [yun@mini01 hadoop]$ vim slaves 5 mini05 6 mini06 7 mini07
PS：改后配置后，将这些配置拷到其他Hadoop机器
4. 启动相关服务
注意：第一次启动时严格按照下面的步骤！！！！！！！
4.1. 启动zookeeper集群
前面已经启动了，这里就不说了
4.2. 启动journalnode
1 # 根据规划在mini05、mini06、mini07 启动 2 # 在第一次格式化的时候需要先启动journalnode 之后就不必了 3 [yun@mini05 ~]$ hadoop-daemon.sh start journalnode # 已经配置环境变量，所以不用进入到响应的目录 4 starting journalnode, logging to /app/hadoop-2.7.6/logs/hadoop-yun-journalnode-mini05.out 5 [yun@mini05 ~]$ jps 6 1281 QuorumPeerMain 7 1817 Jps 8 1759 JournalNode
4.3. 在bi的格式化
4.3.1. 格式化HDFS
1 # 在mini01上执行命令 2 [yun@mini01 ~]$ hdfs namenode -format -clusterID CID-8c9c1d4b-5aa3-4d12-b717-31a56884da7f # 其中UUID可以在网上生成一个 3 18/07/01 12:11:03 INFO namenode.NameNode: STARTUP_MSG: 4 /************************************************************ 5 STARTUP_MSG: Starting NameNode 6 STARTUP_MSG: host = mini01/10.0.0.111 7 STARTUP_MSG: args = [-format, -clusterID, CID-8c9c1d4b-5aa3-4d12-b717-31a56884da7f] 8 STARTUP_MSG: version = 2.7.6 9 STARTUP_MSG: classpath = ……………… 10 STARTUP_MSG: build = Unknown -r Unknown; compiled by 'root' on 2018-06-08T08:30Z 11 STARTUP_MSG: java = 1.8.0_112 12 ************************************************************/ 13 18/07/01 12:11:03 INFO namenode.NameNode: registered UNIX signal handlers for [TERM, HUP, INT] 14 18/07/01 12:11:03 INFO namenode.NameNode: createNameNode [-format, -clusterID, CID-8c9c1d4b-5aa3-4d12-b717-31a56884da7f] 15 Formatting using clusterid: CID-8c9c1d4b-5aa3-4d12-b717-31a56884da7f 16 18/07/01 12:11:03 INFO namenode.FSNamesystem: No KeyProvider found. 17 18/07/01 12:11:03 INFO namenode.FSNamesystem: fsLock is fair: true 18 18/07/01 12:11:03 INFO namenode.FSNamesystem: Detailed lock hold time metrics enabled: false 19 18/07/01 12:11:03 INFO blockmanagement.DatanodeManager: dfs.block.invalidate.limit=1000 20 18/07/01 12:11:03 INFO blockmanagement.DatanodeManager: dfs.namenode.datanode.registration.ip-hostname-check=true 21 18/07/01 12:11:03 INFO blockmanagement.BlockManager: dfs.namenode.startup.delay.block.deletion.sec is set to 000:00:00:00.000 22 18/07/01 12:11:03 INFO blockmanagement.BlockManager: The block deletion will start around 2018 Jul 01 12:11:03 23 18/07/01 12:11:03 INFO util.GSet: Computing capacity for map BlocksMap 24 18/07/01 12:11:03 INFO util.GSet: VM type = 64-bit 25 18/07/01 12:11:03 INFO util.GSet: 2.0% max memory 966.7 MB = 19.3 MB 26 18/07/01 12:11:03 INFO util.GSet: capacity = 2^21 = 2097152 entries 27 18/07/01 12:11:03 INFO blockmanagement.BlockManager: dfs.block.access.token.enable=false 28 18/07/01 12:11:03 INFO blockmanagement.BlockManager: defaultReplication = 3 29 18/07/01 12:11:03 INFO blockmanagement.BlockManager: maxReplication = 512 30 18/07/01 12:11:03 INFO blockmanagement.BlockManager: minReplication = 1 31 18/07/01 12:11:03 INFO blockmanagement.BlockManager: maxReplicationStreams = 2 32 18/07/01 12:11:03 INFO blockmanagement.BlockManager: replicationRecheckInterval = 3000 33 18/07/01 12:11:03 INFO blockmanagement.BlockManager: encryptDataTransfer = false 34 18/07/01 12:11:03 INFO blockmanagement.BlockManager: maxNumBlocksToLog = 1000 35 18/07/01 12:11:03 INFO namenode.FSNamesystem: fsOwner = yun (auth:SIMPLE) 36 18/07/01 12:11:03 INFO namenode.FSNamesystem: supergroup = supergroup 37 18/07/01 12:11:03 INFO namenode.FSNamesystem: isPermissionEnabled = true 38 18/07/01 12:11:03 INFO namenode.FSNamesystem: Determined nameservice ID: bi 39 18/07/01 12:11:03 INFO namenode.FSNamesystem: HA Enabled: true 40 18/07/01 12:11:03 INFO namenode.FSNamesystem: Append Enabled: true 41 18/07/01 12:11:04 INFO util.GSet: Computing capacity for map INodeMap 42 18/07/01 12:11:04 INFO util.GSet: VM type = 64-bit 43 18/07/01 12:11:04 INFO util.GSet: 1.0% max memory 966.7 MB = 9.7 MB 44 18/07/01 12:11:04 INFO util.GSet: capacity = 2^20 = 1048576 entries 45 18/07/01 12:11:04 INFO namenode.FSDirectory: ACLs enabled? false 46 18/07/01 12:11:04 INFO namenode.FSDirectory: XAttrs enabled? true 47 18/07/01 12:11:04 INFO namenode.FSDirectory: Maximum size of an xattr: 16384 48 18/07/01 12:11:04 INFO namenode.NameNode: Caching file names occuring more than 10 times 49 18/07/01 12:11:04 INFO util.GSet: Computing capacity for map cachedBlocks 50 18/07/01 12:11:04 INFO util.GSet: VM type = 64-bit 51 18/07/01 12:11:04 INFO util.GSet: 0.25% max memory 966.7 MB = 2.4 MB 52 18/07/01 12:11:04 INFO util.GSet: capacity = 2^18 = 262144 entries 53 18/07/01 12:11:04 INFO namenode.FSNamesystem: dfs.namenode.safemode.threshold-pct = 0.9990000128746033 54 18/07/01 12:11:04 INFO namenode.FSNamesystem: dfs.namenode.safemode.min.datanodes = 0 55 18/07/01 12:11:04 INFO namenode.FSNamesystem: dfs.namenode.safemode.extension = 30000 56 18/07/01 12:11:04 INFO metrics.TopMetrics: NNTop conf: dfs.namenode.top.window.num.buckets = 10 57 18/07/01 12:11:04 INFO metrics.TopMetrics: NNTop conf: dfs.namenode.top.num.users = 10 58 18/07/01 12:11:04 INFO metrics.TopMetrics: NNTop conf: dfs.namenode.top.windows.minutes = 1,5,25 59 18/07/01 12:11:04 INFO namenode.FSNamesystem: Retry cache on namenode is enabled 60 18/07/01 12:11:04 INFO namenode.FSNamesystem: Retry cache will use 0.03 of total heap and retry cache entry expiry time is 600000 millis 61 18/07/01 12:11:04 INFO util.GSet: Computing capacity for map NameNodeRetryCache 62 18/07/01 12:11:04 INFO util.GSet: VM type = 64-bit 63 18/07/01 12:11:04 INFO util.GSet: 0.029999999329447746% max memory 966.7 MB = 297.0 KB 64 18/07/01 12:11:04 INFO util.GSet: capacity = 2^15 = 32768 entries 65 18/07/01 12:11:04 INFO namenode.FSImage: Allocated new BlockPoolId: BP-1764062562-10.0.0.111-1530418264789 66 18/07/01 12:11:04 INFO common.Storage: Storage directory /app/hadoop/tmp/dfs/name has been successfully formatted. 67 18/07/01 12:11:05 INFO namenode.FSImageFormatProtobuf: Saving image file /app/hadoop/tmp/dfs/name/current/fsimage.ckpt_0000000000000000000 using no compression 68 18/07/01 12:11:05 INFO namenode.FSImageFormatProtobuf: Image file /app/hadoop/tmp/dfs/name/current/fsimage.ckpt_0000000000000000000 of size 320 bytes saved in 0 seconds. 69 18/07/01 12:11:05 INFO namenode.NNStorageRetentionManager: Going to retain 1 images with txid >= 0 70 18/07/01 12:11:05 INFO util.ExitUtil: Exiting with status 0 71 18/07/01 12:11:05 INFO namenode.NameNode: SHUTDOWN_MSG: 72 /************************************************************ 73 SHUTDOWN_MSG: Shutting down NameNode at mini01/10.0.0.111 74 ************************************************************/
拷贝到mini02
1 #格式化后会在根据core-site.xml中的hadoop.tmp.dir配置生成个文件，这里我配置的是/app/hadoop/tmp，然后将/app/hadoop/tmp拷贝到mini02的/app/hadoop/下。 2 # 方法1： 3 [yun@mini01 hadoop]$ pwd 4 /app/hadoop 5 [yun@mini01 hadoop]$ scp -r tmp/ yun@mini02:/app/hadoop 6 VERSION 100% 202 189.4KB/s 00:00 7 seen_txid 100% 2 1.0KB/s 00:00 8 fsimage_0000000000000000000.md5 100% 62 39.7KB/s 00:00 9 fsimage_0000000000000000000 100% 320 156.1KB/s 00:00 10 11 ##########################3 12 # 方法2：##也可以这样，建议hdfs namenode -bootstrapStandby # 不过需要mini02的Hadoop起来才行
4.3.2. 格式化ZKFC
1 # 在mini01上执行一次即可 2 [yun@mini01 current]$ hdfs zkfc -formatZK 3 18/07/01 12:12:45 INFO tools.DFSZKFailoverController: Failover controller configured for NameNode NameNode at mini01/10.0.0.111:9000 4 18/07/01 12:12:46 INFO zookeeper.ZooKeeper: Client environment:zookeeper.version=3.4.6-1569965, built on 02/20/2014 09:09 GMT 5 18/07/01 12:12:46 INFO zookeeper.ZooKeeper: Client environment:host.name=mini01 6 18/07/01 12:12:46 INFO zookeeper.ZooKeeper: Client environment:java.version=1.8.0_112 7 18/07/01 12:12:46 INFO zookeeper.ZooKeeper: Client environment:java.vendor=Oracle Corporation 8 18/07/01 12:12:46 INFO zookeeper.ZooKeeper: Client environment:java.home=/app/jdk1.8.0_112/jre 9 18/07/01 12:12:46 INFO zookeeper.ZooKeeper: Client environment:java.class.path=…………………… 10 18/07/01 12:12:46 INFO zookeeper.ZooKeeper: Client environment:java.library.path=/app/hadoop-2.7.6/lib/native 11 18/07/01 12:12:46 INFO zookeeper.ZooKeeper: Client environment:java.io.tmpdir=/tmp 12 18/07/01 12:12:46 INFO zookeeper.ZooKeeper: Client environment:java.compiler=<NA> 13 18/07/01 12:12:46 INFO zookeeper.ZooKeeper: Client environment:os.name=Linux 14 18/07/01 12:12:46 INFO zookeeper.ZooKeeper: Client environment:os.arch=amd64 15 18/07/01 12:12:46 INFO zookeeper.ZooKeeper: Client environment:os.version=3.10.0-693.el7.x86_64 16 18/07/01 12:12:46 INFO zookeeper.ZooKeeper: Client environment:user.name=yun 17 18/07/01 12:12:46 INFO zookeeper.ZooKeeper: Client environment:user.home=/app 18 18/07/01 12:12:46 INFO zookeeper.ZooKeeper: Client environment:user.dir=/app/hadoop-2.7.6 19 18/07/01 12:12:46 INFO zookeeper.ZooKeeper: Initiating client connection, connectString=mini03:2181,mini04:2181,mini05:2181,mini06:2181,mini07:2181 sessionTimeout=5000 watcher=org.apache.hadoop.ha.ActiveStandbyElector$WatcherWithClientRef@7f3b84b8 20 18/07/01 12:12:46 INFO zookeeper.ClientCnxn: Opening socket connection to server mini04/10.0.0.114:2181. Will not attempt to authenticate using SASL (unknown error) 21 18/07/01 12:12:46 INFO zookeeper.ClientCnxn: Socket connection established to mini04/10.0.0.114:2181, initiating session 22 18/07/01 12:12:46 INFO zookeeper.ClientCnxn: Session establishment complete on server mini04/10.0.0.114:2181, sessionid = 0x464538f087b0003, negotiated timeout = 5000 23 18/07/01 12:12:46 INFO ha.ActiveStandbyElector: Session connected. 24 18/07/01 12:13:02 INFO ha.ActiveStandbyElector: Successfully created /hadoop-ha/bi in ZK. 25 18/07/01 12:13:02 INFO zookeeper.ZooKeeper: Session: 0x464538f087b0003 closed 26 18/07/01 12:13:02 INFO zookeeper.ClientCnxn: EventThread shut down
4.4. 在dt的格式化
4.4.1. 格式化HDFS
1 # 在mini03上执行命令 2 [yun@mini03 hadoop]$ hdfs namenode -format -clusterID CID-8c9c1d4b-5aa3-4d12-b717-31a56884da7f # clusterID必须与bi的相同 3 18/07/01 12:14:30 INFO namenode.NameNode: STARTUP_MSG: 4 /************************************************************ 5 STARTUP_MSG: Starting NameNode 6 STARTUP_MSG: host = mini03/10.0.0.113 7 STARTUP_MSG: args = [-format, -clusterID, CID-8c9c1d4b-5aa3-4d12-b717-31a56884da7f] 8 STARTUP_MSG: version = 2.7.6 9 STARTUP_MSG: classpath = …………………… 10 STARTUP_MSG: build = Unknown -r Unknown; compiled by 'root' on 2018-06-08T08:30Z 11 STARTUP_MSG: java = 1.8.0_112 12 ************************************************************/ 13 18/07/01 12:14:30 INFO namenode.NameNode: registered UNIX signal handlers for [TERM, HUP, INT] 14 18/07/01 12:14:30 INFO namenode.NameNode: createNameNode [-format, -clusterID, CID-8c9c1d4b-5aa3-4d12-b717-31a56884da7f] 15 Formatting using clusterid: CID-8c9c1d4b-5aa3-4d12-b717-31a56884da7f 16 18/07/01 12:14:31 INFO namenode.FSNamesystem: No KeyProvider found. 17 18/07/01 12:14:31 INFO namenode.FSNamesystem: fsLock is fair: true 18 18/07/01 12:14:31 INFO namenode.FSNamesystem: Detailed lock hold time metrics enabled: false 19 18/07/01 12:14:31 INFO blockmanagement.DatanodeManager: dfs.block.invalidate.limit=1000 20 18/07/01 12:14:31 INFO blockmanagement.DatanodeManager: dfs.namenode.datanode.registration.ip-hostname-check=true 21 18/07/01 12:14:31 INFO blockmanagement.BlockManager: dfs.namenode.startup.delay.block.deletion.sec is set to 000:00:00:00.000 22 18/07/01 12:14:31 INFO blockmanagement.BlockManager: The block deletion will start around 2018 Jul 01 12:14:31 23 18/07/01 12:14:31 INFO util.GSet: Computing capacity for map BlocksMap 24 18/07/01 12:14:31 INFO util.GSet: VM type = 64-bit 25 18/07/01 12:14:31 INFO util.GSet: 2.0% max memory 966.7 MB = 19.3 MB 26 18/07/01 12:14:31 INFO util.GSet: capacity = 2^21 = 2097152 entries 27 18/07/01 12:14:31 INFO blockmanagement.BlockManager: dfs.block.access.token.enable=false 28 18/07/01 12:14:31 INFO blockmanagement.BlockManager: defaultReplication = 3 29 18/07/01 12:14:31 INFO blockmanagement.BlockManager: maxReplication = 512 30 18/07/01 12:14:31 INFO blockmanagement.BlockManager: minReplication = 1 31 18/07/01 12:14:31 INFO blockmanagement.BlockManager: maxReplicationStreams = 2 32 18/07/01 12:14:31 INFO blockmanagement.BlockManager: replicationRecheckInterval = 3000 33 18/07/01 12:14:31 INFO blockmanagement.BlockManager: encryptDataTransfer = false 34 18/07/01 12:14:31 INFO blockmanagement.BlockManager: maxNumBlocksToLog = 1000 35 18/07/01 12:14:31 INFO namenode.FSNamesystem: fsOwner = yun (auth:SIMPLE) 36 18/07/01 12:14:31 INFO namenode.FSNamesystem: supergroup = supergroup 37 18/07/01 12:14:31 INFO namenode.FSNamesystem: isPermissionEnabled = true 38 18/07/01 12:14:31 INFO namenode.FSNamesystem: Determined nameservice ID: dt 39 18/07/01 12:14:31 INFO namenode.FSNamesystem: HA Enabled: true 40 18/07/01 12:14:31 INFO namenode.FSNamesystem: Append Enabled: true 41 18/07/01 12:14:31 INFO util.GSet: Computing capacity for map INodeMap 42 18/07/01 12:14:31 INFO util.GSet: VM type = 64-bit 43 18/07/01 12:14:31 INFO util.GSet: 1.0% max memory 966.7 MB = 9.7 MB 44 18/07/01 12:14:31 INFO util.GSet: capacity = 2^20 = 1048576 entries 45 18/07/01 12:14:31 INFO namenode.FSDirectory: ACLs enabled? false 46 18/07/01 12:14:31 INFO namenode.FSDirectory: XAttrs enabled? true 47 18/07/01 12:14:31 INFO namenode.FSDirectory: Maximum size of an xattr: 16384 48 18/07/01 12:14:31 INFO namenode.NameNode: Caching file names occuring more than 10 times 49 18/07/01 12:14:31 INFO util.GSet: Computing capacity for map cachedBlocks 50 18/07/01 12:14:31 INFO util.GSet: VM type = 64-bit 51 18/07/01 12:14:31 INFO util.GSet: 0.25% max memory 966.7 MB = 2.4 MB 52 18/07/01 12:14:31 INFO util.GSet: capacity = 2^18 = 262144 entries 53 18/07/01 12:14:31 INFO namenode.FSNamesystem: dfs.namenode.safemode.threshold-pct = 0.9990000128746033 54 18/07/01 12:14:31 INFO namenode.FSNamesystem: dfs.namenode.safemode.min.datanodes = 0 55 18/07/01 12:14:31 INFO namenode.FSNamesystem: dfs.namenode.safemode.extension = 30000 56 18/07/01 12:14:31 INFO metrics.TopMetrics: NNTop conf: dfs.namenode.top.window.num.buckets = 10 57 18/07/01 12:14:31 INFO metrics.TopMetrics: NNTop conf: dfs.namenode.top.num.users = 10 58 18/07/01 12:14:31 INFO metrics.TopMetrics: NNTop conf: dfs.namenode.top.windows.minutes = 1,5,25 59 18/07/01 12:14:31 INFO namenode.FSNamesystem: Retry cache on namenode is enabled 60 18/07/01 12:14:31 INFO namenode.FSNamesystem: Retry cache will use 0.03 of total heap and retry cache entry expiry time is 600000 millis 61 18/07/01 12:14:31 INFO util.GSet: Computing capacity for map NameNodeRetryCache 62 18/07/01 12:14:31 INFO util.GSet: VM type = 64-bit 63 18/07/01 12:14:31 INFO util.GSet: 0.029999999329447746% max memory 966.7 MB = 297.0 KB 64 18/07/01 12:14:31 INFO util.GSet: capacity = 2^15 = 32768 entries 65 18/07/01 12:14:39 INFO namenode.FSImage: Allocated new BlockPoolId: BP-1084901829-10.0.0.113-1530418479529 66 18/07/01 12:14:39 INFO common.Storage: Storage directory /app/hadoop/tmp/dfs/name has been successfully formatted. 67 18/07/01 12:14:39 INFO namenode.FSImageFormatProtobuf: Saving image file /app/hadoop/tmp/dfs/name/current/fsimage.ckpt_0000000000000000000 using no compression 68 18/07/01 12:14:39 INFO namenode.FSImageFormatProtobuf: Image file /app/hadoop/tmp/dfs/name/current/fsimage.ckpt_0000000000000000000 of size 320 bytes saved in 0 seconds. 69 18/07/01 12:14:39 INFO namenode.NNStorageRetentionManager: Going to retain 1 images with txid >= 0 70 18/07/01 12:14:39 INFO util.ExitUtil: Exiting with status 0 71 18/07/01 12:14:39 INFO namenode.NameNode: SHUTDOWN_MSG: 72 /************************************************************ 73 SHUTDOWN_MSG: Shutting down NameNode at mini03/10.0.0.113 74 ************************************************************/
拷贝到mini04
1 #格式化后会在根据core-site.xml中的hadoop.tmp.dir配置生成个文件，这里我配置的是/app/hadoop/tmp，然后将/app/hadoop/tmp拷贝到mini04的/app/hadoop/下。 2 # 方法1： 3 [yun@mini03 hadoop]$ pwd 4 /app/hadoop 5 [yun@mini03 hadoop]$ scp -r tmp/ yun@mini04:/app/hadoop 6 VERSION 100% 202 189.4KB/s 00:00 7 seen_txid 100% 2 1.0KB/s 00:00 8 fsimage_0000000000000000000.md5 100% 62 39.7KB/s 00:00 9 fsimage_0000000000000000000 100% 320 156.1KB/s 00:00 10 11 ##########################3 12 # 方法2：##也可以这样，建议hdfs namenode -bootstrapStandby # 不过需要mini04的Hadoop起来才行
4.4.2. 格式化ZKFC
1 # 在mini03上执行一次即可 2 [yun@mini03 hadoop]$ hdfs zkfc -formatZK 3 18/07/01 12:14:58 INFO tools.DFSZKFailoverController: Failover controller configured for NameNode NameNode at mini03/10.0.0.113:9000 4 18/07/01 12:14:58 INFO zookeeper.ZooKeeper: Client environment:zookeeper.version=3.4.6-1569965, built on 02/20/2014 09:09 GMT 5 18/07/01 12:14:58 INFO zookeeper.ZooKeeper: Client environment:host.name=mini03 6 18/07/01 12:14:58 INFO zookeeper.ZooKeeper: Client environment:java.version=1.8.0_112 7 18/07/01 12:14:58 INFO zookeeper.ZooKeeper: Client environment:java.vendor=Oracle Corporation 8 18/07/01 12:14:58 INFO zookeeper.ZooKeeper: Client environment:java.home=/app/jdk1.8.0_112/jre 9 18/07/01 12:14:58 INFO zookeeper.ZooKeeper: Client environment:java.class.path=…………………… 10 18/07/01 12:14:58 INFO zookeeper.ZooKeeper: Client environment:java.library.path=/app/hadoop-2.7.6/lib/native 11 18/07/01 12:14:58 INFO zookeeper.ZooKeeper: Client environment:java.io.tmpdir=/tmp 12 18/07/01 12:14:58 INFO zookeeper.ZooKeeper: Client environment:java.compiler=<NA> 13 18/07/01 12:14:58 INFO zookeeper.ZooKeeper: Client environment:os.name=Linux 14 18/07/01 12:14:58 INFO zookeeper.ZooKeeper: Client environment:os.arch=amd64 15 18/07/01 12:14:58 INFO zookeeper.ZooKeeper: Client environment:os.version=3.10.0-693.el7.x86_64 16 18/07/01 12:14:58 INFO zookeeper.ZooKeeper: Client environment:user.name=yun 17 18/07/01 12:14:58 INFO zookeeper.ZooKeeper: Client environment:user.home=/app 18 18/07/01 12:14:58 INFO zookeeper.ZooKeeper: Client environment:user.dir=/app/hadoop-2.7.6 19 18/07/01 12:14:58 INFO zookeeper.ZooKeeper: Initiating client connection, connectString=mini03:2181,mini04:2181,mini05:2181,mini06:2181,mini07:2181 sessionTimeout=5000 watcher=org.apache.hadoop.ha.ActiveStandbyElector$WatcherWithClientRef@7f3b84b8 20 18/07/01 12:14:58 INFO zookeeper.ClientCnxn: Opening socket connection to server mini05/10.0.0.115:2181. Will not attempt to authenticate using SASL (unknown error) 21 18/07/01 12:14:58 INFO zookeeper.ClientCnxn: Socket connection established to mini05/10.0.0.115:2181, initiating session 22 18/07/01 12:14:58 INFO zookeeper.ClientCnxn: Session establishment complete on server mini05/10.0.0.115:2181, sessionid = 0x56455467ae50003, negotiated timeout = 5000 23 18/07/01 12:14:58 INFO ha.ActiveStandbyElector: Session connected. 24 18/07/01 12:15:00 INFO ha.ActiveStandbyElector: Successfully created /hadoop-ha/dt in ZK. 25 18/07/01 12:15:00 INFO zookeeper.ZooKeeper: Session: 0x56455467ae50003 closed 26 18/07/01 12:15:00 INFO zookeeper.ClientCnxn: EventThread shut down
4.5. 启动HDFS
1 # 在mini01操作一次即可 2 [yun@mini01 hadoop]$ start-dfs.sh 3 Starting namenodes on [mini01 mini02 mini03 mini04] 4 mini01: starting namenode, logging to /app/hadoop-2.7.6/logs/hadoop-yun-namenode-mini01.out 5 mini02: starting namenode, logging to /app/hadoop-2.7.6/logs/hadoop-yun-namenode-mini02.out 6 mini04: starting namenode, logging to /app/hadoop-2.7.6/logs/hadoop-yun-namenode-mini04.out 7 mini03: starting namenode, logging to /app/hadoop-2.7.6/logs/hadoop-yun-namenode-mini03.out 8 mini06: starting datanode, logging to /app/hadoop-2.7.6/logs/hadoop-yun-datanode-mini06.out 9 mini07: starting datanode, logging to /app/hadoop-2.7.6/logs/hadoop-yun-datanode-mini07.out 10 mini05: starting datanode, logging to /app/hadoop-2.7.6/logs/hadoop-yun-datanode-mini05.out 11 Starting journal nodes [mini05 mini06 mini07] 12 mini05: journalnode running as process 6922. Stop it first. 13 mini07: journalnode running as process 6370. Stop it first. 14 mini06: journalnode running as process 7078. Stop it first. 15 Starting ZK Failover Controllers on NN hosts [mini01 mini02 mini03 mini04] 16 mini04: starting zkfc, logging to /app/hadoop-2.7.6/logs/hadoop-yun-zkfc-mini04.out 17 mini01: starting zkfc, logging to /app/hadoop-2.7.6/logs/hadoop-yun-zkfc-mini01.out 18 mini02: starting zkfc, logging to /app/hadoop-2.7.6/logs/hadoop-yun-zkfc-mini02.out 19 mini03: starting zkfc, logging to /app/hadoop-2.7.6/logs/hadoop-yun-zkfc-mini03.out
4.6. 启动YARN
1 #####注意#####：是在mini03上执行start-yarn.sh，把namenode和resourcemanager分开是因为性能问题 2 # 因为他们都要占用大量资源，所以把他们分开了，他们分开了就要分别在不同的机器上启动 3 [yun@mini03 ~]$ start-yarn.sh 4 starting yarn daemons 5 starting resourcemanager, logging to /app/hadoop-2.7.6/logs/yarn-yun-resourcemanager-mini03.out 6 mini07: starting nodemanager, logging to /app/hadoop-2.7.6/logs/yarn-yun-nodemanager-mini07.out 7 mini06: starting nodemanager, logging to /app/hadoop-2.7.6/logs/yarn-yun-nodemanager-mini06.out 8 mini05: starting nodemanager, logging to /app/hadoop-2.7.6/logs/yarn-yun-nodemanager-mini05.out 9 10 11 ################################ 12 # 在mini04启动 resourcemanager 13 [yun@mini04 ~]$ yarn-daemon.sh start resourcemanager # 也可用start-yarn.sh 14 starting resourcemanager, logging to /app/hadoop-2.7.6/logs/yarn-yun-resourcemanager-mini04.out
4.7. 启动说明
1 # 第一次启动的时候请严格按照上面的步骤【第一次涉及格式化问题】 2 # 第二次以及之后，步骤为： 启动zookeeper、HDFS、YARN
5. 浏览器访问
5.1. bi访问
1 http://mini01:50070
1 http://mini02:50070
5.2. dt访问
1 http://mini03:50070
1 http://mini04:50070
6. 简单操作
6.1. HDFS创建目录与上传
1 [yun@mini02 software]$ pwd 2 /app/software 3 [yun@mini02 software]$ ll 4 total 715008 5 -rw-r--r-- 1 yun yun 198811365 Jun 8 16:36 CentOS-7.4_hadoop-2.7.6.tar.gz 6 -rw-r--r-- 1 yun yun 350098461 May 25 20:18 eclipse-jee-oxygen-3a-win32-x86_64.zip 7 -rw-r--r-- 1 yun yun 183249642 Oct 27 2017 jdk1.8.0_112.tar.gz 8 -rw-rw-r-- 1 yun yun 4 Jul 1 09:37 test 9 [yun@mini02 software]$ hadoop fs -ls / # 通过命令行可见，是进行了逻辑分区的 10 Found 2 items 11 -r-xr-xr-x - yun yun 0 2018-07-01 17:26 /bi 12 -r-xr-xr-x - yun yun 0 2018-07-01 17:26 /dt 13 [yun@mini02 software]$ hadoop fs -mkdir /bi/software # 在bi创建目录 14 [yun@mini02 software]$ 15 [yun@mini02 software]$ hadoop fs -mkdir /dt/software # 在dt创建目录 16 [yun@mini02 software]$ 17 [yun@mini02 software]$ hadoop fs -put jdk1.8.0_112.tar.gz /bi/software # 上传文件到bi 18 [yun@mini02 software]$ hadoop fs -put eclipse-jee-oxygen-3a-win32-x86_64.zip /dt/software # 上传文件到dt 19 [yun@mini02 software]$ 20 [yun@mini02 software]$ 21 [yun@mini02 software]$ hadoop fs -ls /bi/software 22 Found 1 items 23 -rw-r--r-- 3 yun supergroup 183249642 2018-07-01 17:28 /bi/software/jdk1.8.0_112.tar.gz 24 [yun@mini02 software]$ 25 [yun@mini02 software]$ 26 [yun@mini02 software]$ hadoop fs -ls /dt/software 27 Found 1 items 28 -rw-r--r-- 3 yun supergroup 350098461 2018-07-01 17:29 /dt/software/eclipse-jee-oxygen-3a-win32-x86_64.zip
6.2. Datanode目录结构
1 [yun@mini05 current]$ pwd 2 /app/hadoop/tmp/dfs/data/current 3 [yun@mini05 current]$ ll 4 total 4 5 drwx------ 4 yun yun 54 Jul 1 17:14 BP-153647176-10.0.0.111-1530436323095 6 drwx------ 4 yun yun 54 Jul 1 17:14 BP-282900577-10.0.0.113-1530436402230 7 -rw-rw-r-- 1 yun yun 229 Jul 1 17:14 VERSION 8 [yun@mini05 current]$ tree 9 . 10 ├── BP-153647176-10.0.0.111-1530436323095 11 │ ├── current 12 │ │ ├── finalized 13 │ │ │ └── subdir0 14 │ │ │ └── subdir0 15 │ │ │ ├── blk_1073741825 16 │ │ │ ├── blk_1073741825_1001.meta 17 │ │ │ ├── blk_1073741826 18 │ │ │ └── blk_1073741826_1002.meta 19 │ │ ├── rbw 20 │ │ └── VERSION 21 │ ├── scanner.cursor 22 │ └── tmp 23 ├── BP-282900577-10.0.0.113-1530436402230 24 │ ├── current 25 │ │ ├── finalized 26 │ │ │ └── subdir0 27 │ │ │ └── subdir0 28 │ │ │ ├── blk_1073741825 29 │ │ │ ├── blk_1073741825_1001.meta 30 │ │ │ ├── blk_1073741826 31 │ │ │ ├── blk_1073741826_1002.meta 32 │ │ │ ├── blk_1073741827 33 │ │ │ └── blk_1073741827_1003.meta 34 │ │ ├── rbw 35 │ │ └── VERSION 36 │ ├── scanner.cursor 37 │ └── tmp 38 └── VERSION 39 40 14 directories, 15 files