Hadoop集群搭建

1寂嘉、準(zhǔn)備工作

  • 準(zhǔn)備6臺(tái)虛擬機(jī),內(nèi)存1G
  • 虛擬機(jī)節(jié)點(diǎn)分配情況
序號(hào) 機(jī)器 分配
1 Park01 Zookeeper枫绅、NameNode(active)泉孩、ResourceManager(active)
2 Park02 Zookeeper、NameNode(standby)
3 Park03 Zookeeper并淋、ResourceManager(standby)
4 Park04 DataNode寓搬、NodeManager、JournalNode
5 Park05 DataNode县耽、NodeManager句喷、JournalNode
6 Park06 DataNode、NodeManager兔毙、JournalNode
  • 關(guān)閉每臺(tái)虛擬機(jī)防火墻
  • 更改每臺(tái)虛擬機(jī)主機(jī)名唾琼,例如CH0、CH1……參考
  • 配置每臺(tái)機(jī)器的hosts
    127.0.0.1 localhost
    ::1 localhost
    192.168.6.20 CH0
    192.168.6.21 CH1
    ……
    192.168.6.25 CH5
  • 配置免秘鑰登錄
  • 安裝JDK并配置環(huán)境變量

2澎剥、Zookeeper

[root@CH0 soft]# mkdir -p /usr/lib/zookeeper
[root@CH0 soft]# tar -zxvf zookeeper-3.4.7.tar.gz -C /usr/lib/zookeeper

2.1 zoo.cfg配置

[root@CH0 soft]# cd /usr/lib/zookeeper/zookeeper-3.4.7/conf/
[root@CH0 conf]# cp zoo_sample.cfg zoo.cfg
[root@CH0 conf]# vim zoo.cfg 
<!--完整的zoo.cfg配置如下-->
# The number of milliseconds of each tick
tickTime=2000
# The number of ticks that the initial 
# synchronization phase can take
initLimit=10
# The number of ticks that can pass between 
# sending a request and getting an acknowledgement
syncLimit=5
# the directory where the snapshot is stored.
# do not use /tmp for storage, /tmp here is just 
# example sakes.
dataDir=/usr/lib/zookeeper/zookeeper-3.4.7/tmp
# the port at which the clients will connect
clientPort=2181
# the maximum number of client connections.
# increase this if you need to handle more clients
#maxClientCnxns=60
#
# Be sure to read the maintenance section of the 
# administrator guide before turning on autopurge.
#
# http://zookeeper.apache.org/doc/current/zookeeperAdmin.html#sc_maintenance
#
# The number of snapshots to retain in dataDir
#autopurge.snapRetainCount=3
# Purge task interval in hours
# Set to "0" to disable auto purge feature
#autopurge.purgeInterval=1
server.1=192.168.6.20:2888:3888
server.2=192.168.6.21:2888:3888
server.3=192.168.6.22:2888:3888

2.2 tmp目錄配置

[root@CH0 conf]# cd ..
[root@CH0 zookeeper-3.4.7]# mkdir tmp
[root@CH0 zookeeper-3.4.7]# cd tmp/
[root@CH0 tmp]# vim myid
<!--內(nèi)容如下-->
1

2.3 其他兩臺(tái)虛擬機(jī)Zookeeper配置

<!-- Zookeeper目錄發(fā)送給CH1锡溯、CH2 -->
[root@CH0 tmp]# cd ../../
[root@CH0 zookeeper]# cd ../
[root@CH0 lib]# scp -r zookeeper CH1:/usr/lib/
[root@CH0 lib]# scp -r zookeeper CH2:/usr/lib/

[root@CH1 ~]# cd /usr/lib/zookeeper/zookeeper-3.4.7/tmp/
[root@CH1 tmp]# ls
myid
[root@CH1 tmp]# vim myid 
[root@CH1 tmp]# cat myid 
2

[root@CH2 ~]# cd /usr/lib/zookeeper/zookeeper-3.4.7/tmp/
[root@CH2 tmp]# ls
myid
[root@CH2 tmp]# vim myid 
[root@CH2 tmp]# cat myid 
3

3、Hadoop安裝配置

[root@CH0 soft]# mkdir -p /usr/lib/hadoop
[root@CH0 soft]# tar -zxvf hadoop-2.7.1.tar.gz -C /usr/lib/hadoop
[root@CH0 soft]# cd /usr/lib/hadoop/hadoop-2.7.1/etc/hadoop/

3.1肴裙、hadoop-env.sh配置

[root@CH0 hadoop]# vim hadoop-env.sh 
<!--配置如下-->
export JAVA_HOME=/usr/lib/jvm/jdk1.8.0_171
export HADOOP_CONF_DIR=/usr/lib/hadoop/hadoop-2.7.1/etc/hadoop

3.2趾唱、core-site.xml配置

[root@CH0 hadoop]# vim core-site.xml 
<!--配置如下-->
<configuration>
<property>
<name>fs.defaultFS</name>
<value>hdfs://ns</value>
</property>
<!-- 用來(lái)指定hadoop運(yùn)行時(shí)產(chǎn)生文件的存放位置 -->
<property>
<name>hadoop.tmp.dir</name>
<value>/usr/lib/hadoop/hadoop-2.7.1/tmp</value>
</property>
<!-- 執(zhí)行zookeeper地址-->
<property>
<name>ha.zookeeper.quorum</name>
<value>CH0:2181,CH1:2181,CH2:2181</value>
</property>
</configuration>

3.3涌乳、hdfs-site.xml配置

[root@CH0 hadoop]# vim hdfs-site.xml 
<!--配置如下-->
<configuration>
<property>
<name>dfs.nameservices</name>
<value>ns</value>
</property>
<!-- ns下有兩臺(tái)namenode,分別是nn1蜻懦,nn2  -->
<property>
<name>dfs.ha.namenodes.ns</name>
<value>nn1,nn2</value>
</property>
<!-- nn1的RPC通信地址 -->
<property>
<name>dfs.namenode.rpc-address.ns.nn1</name>
<value>CH0:9000</value>
</property>
<!-- nn1的HTTP通信地址 -->
<property>
<name>dfs.namenode.http-address.ns.nn1</name>
<value>CH0:50070</value>
</property>
<!-- nn2的RPC通信地址 -->
<property>
<name>dfs.namenode.rpc-address.ns.nn2</name>
<value>CH1:9000</value>
</property>
<!-- nn2的HTTP通信地址 -->
<property>
<name>dfs.namenode.http-address.ns.nn2</name>
<value>CH1:50070</value>
</property>
<!-- 指定namenode的元數(shù)據(jù)在JournalNode上的存放位置,這樣夕晓,namenode2可以從集群jn
 里獲取最新的namenode的信息宛乃,可以達(dá)到熱備的效果 -->
<property>
<name>dfs.namenode.shared.edits.dir</name>
<value>qjournal://CH3:8485;CH4:8485;CH5:8485/ns</value>
</property>
<!-- 指定JournalNode的存放位置 -->
<property>
<name>dfs.journalnode.edits.dir</name>
<value>/usr/lib/hadoop/hadoop-2.7.1/journal</value>
</property>
<!-- 開(kāi)啟namenode故障時(shí)自動(dòng)切換 -->
<property>
<name>dfs.ha.automatic-failover.enabled</name>
<value>true</value>
</property>
<!-- 配置切換的實(shí)現(xiàn)方式 -->
<property>
<name>dfs.client.failover.proxy.provider.ns</name>
<value>org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider</value>
</property>
<!-- 配置隔離機(jī)制-->
<property>
<name>dfs.ha.fencing.methods</name>
<value>sshfence</value>
</property>
<!-- 配置隔離機(jī)制的SSH登錄秘鑰所在的位置 -->
<property>
<name>dfs.ha.fencing.ssh.private-key-files</name>
<value>/root/.ssh/id_rsa</value>
</property>
<!-- 配置namenode數(shù)據(jù)存放的位置,可以不配置蒸辆,如果不配置征炼,默認(rèn)使用的是
 core-site.xml里的hadoop.tmp.dir的路徑-->
<property>
<name>dfs.namenode.name.dir</name>
<value>file:///usr/lib/hadoop/hadoop-2.7.1/tmp/namenode</value>
</property>
<!-- 配置datanode數(shù)據(jù)存放的位置,可以不配置躬贡,如果不配置谆奥,默認(rèn)使用的是
      core-site.xml里的hadoop.tmp.dir的路徑-->
<property>
<name>dfs.datanode.data.dir</name>
<value>file:///usr/lib/hadoop/hadoop-2.7.1/tmp/datanode</value>
</property>
<!-- 配置block副本的數(shù)量-->
<property>
<name>dfs.replication</name>
<value>3</value>
</property>
<!-- 設(shè)置hdfs的操作權(quán)限,false表示任何用戶都可以在hdfs上操作文件 -->
<property>
<name>dfs.permissions</name>
<value>false</value>
</property>
</configuration>

3.4拂玻、mapred-site.xml配置

[root@CH0 hadoop]# cp mapred-site.xml.template mapred-site.xml
[root@CH0 hadoop]# vim mapred-site.xml
<!--配置如下-->
<configuration>
<!-- 指定mapreduce運(yùn)行在yarn上 -->
<property>
<name>mapreduce.framework.name</name>
<!-- yarn是資源協(xié)調(diào)工具 -->
<value>yarn</value>
</property>
</configuration>

3.5酸些、yarn-site.xml配置

[root@CH0 hadoop]# vim yarn-site.xml 
<!--配置如下-->
<configuration>
<property>
<name>yarn.resourcemanager.ha.enabled</name>
<value>true</value>
</property>

<property>
<name>yarn.resourcemanager.ha.rm-ids</name>
<value>rm1,rm2</value>
</property>
<!-- 配置rm1宰译,rm2的主機(jī) -->
<property>
<name>yarn.resourcemanager.hostname.rm1</name>
<value>CH0</value>
</property>

<property>
<name>yarn.resourcemanager.hostname.rm2</name>
<value>CH2</value>
</property>
<!-- 開(kāi)啟yarn恢復(fù)機(jī)制-->
<property>
<name>yarn.resourcemanager.recovery.enabled</name>
<value>true</value>
</property>
<!-- 執(zhí)行yarn恢復(fù)機(jī)制實(shí)現(xiàn)類(lèi)-->
<property>
<name>yarn.resourcemanager.store.class</name>
<value>org.apache.hadoop.yarn.server.resourcemanager.recovery.ZKRMStateStore</value>
</property>
<!-- 配置zookeeper的地址-->
<property>
<name>yarn.resourcemanager.zk-address</name>
<value>CH0:2181,CH1:2181,CH2:2181</value>
<description>For multiple zk services,separate them with comm</description>
</property>
<!-- 指定yarn ha的名稱-->
<property>
<name>yarn.resourcemanager.cluster-id</name>
<value>yarn-ha</value>
</property>

<!-- 指定yarn的老大,resourcemanager的地址 -->
<property>
<name>yarn.resourcemanager.hostname</name>
<!-- CH0是主機(jī)名 -->
<value>CH0</value>
</property>
<!-- Site specific YARN configuration properties -->
<!-- nodemanager獲取數(shù)據(jù)的方式 -->
<property>
<name>yarn.nodemanager.aux-services</name>
<value>mapreduce_shuffle</value>
</property>
</configuration>

3.6魄懂、slaves配置

[root@CH0 hadoop]# vim slaves 
CH3
CH4
CH5

3.7沿侈、目錄創(chuàng)建

[root@CH0 hadoop]# cd ../..
[root@CH0 hadoop-2.7.1]# mkdir tmp
[root@CH0 hadoop-2.7.1]# mkdir journal
[root@CH0 hadoop-2.7.1]# cd tmp
[root@CH0 tmp]# mkdir namenode
[root@CH0 tmp]# mkdir datanode

3.8、發(fā)送給其他五臺(tái)虛擬機(jī)

[root@CH0 hadoop-2.7.1]# cd ../../
[root@CH0 lib]# scp -r hadoop CH1:/usr/lib/
[root@CH0 lib]# scp -r hadoop CH2:/usr/lib/
[root@CH0 lib]# scp -r hadoop CH3:/usr/lib/
[root@CH0 lib]# scp -r hadoop CH4:/usr/lib/
[root@CH0 lib]# scp -r hadoop CH5:/usr/lib/

4市栗、環(huán)境變量配置

[root@CH0 ~]# vim /etc/profile
#java env
JAVA_HOME=/usr/lib/jvm/jdk1.8.0_171
HADOOP_HOME=/usr/lib/hadoop/hadoop-2.7.1
CLASSPATH=.:$JAVA_HOME/lib/dt.jar:$JRE_HOME/lib/tools.jar
PATH=$JAVA_HOME/bin:$HADOOP_HOME/bin:$HADOOP_HOME/sbin:$PATH
export JAVA_HOME PATH CLASSPATH HADOOP_HOME

4.1缀拭、配置文件發(fā)送其他五臺(tái)虛擬機(jī)

[root@CH0 ~]# scp /etc/profile CH1:/etc/
[root@CH0 ~]# scp /etc/profile CH2:/etc/
[root@CH0 ~]# scp /etc/profile CH3:/etc/
[root@CH0 ~]# scp /etc/profile CH4:/etc/
[root@CH0 ~]# scp /etc/profile CH5:/etc/

<!-- 每臺(tái)執(zhí)行如下-->
[root@CH0 ~]# source /etc/profile

5、Hadoop分布式啟動(dòng)

5.1填帽、zookeeper啟動(dòng)

Park01啟動(dòng)

[root@CH0 ~]# cd /usr/lib/zookeeper/zookeeper-3.4.7/bin/
[root@CH0 bin]# sh zkServer.sh start
ZooKeeper JMX enabled by default
Using config: /usr/lib/zookeeper/zookeeper-3.4.7/bin/../conf/zoo.cfg
Starting zookeeper ... STARTED

Park02啟動(dòng)

[root@CH1 ~]# cd /usr/lib/zookeeper/zookeeper-3.4.7/bin/
[root@CH1 bin]# sh zkServer.sh start
ZooKeeper JMX enabled by default
Using config: /usr/lib/zookeeper/zookeeper-3.4.7/bin/../conf/zoo.cfg
Starting zookeeper ... STARTED

Park03啟動(dòng)

[root@CH2 ~]# cd /usr/lib/zookeeper/zookeeper-3.4.7/bin/
[root@CH2 bin]# sh zkServer.sh start
ZooKeeper JMX enabled by default
Using config: /usr/lib/zookeeper/zookeeper-3.4.7/bin/../conf/zoo.cfg
Starting zookeeper ... STARTED

Park01啟動(dòng)狀態(tài)驗(yàn)證

[root@CH0 bin]# sh zkServer.sh status
ZooKeeper JMX enabled by default
Using config: /usr/lib/zookeeper/zookeeper-3.4.7/bin/../conf/zoo.cfg
Mode: follower

Park02啟動(dòng)狀態(tài)驗(yàn)證

[root@CH1 bin]# sh zkServer.sh status
ZooKeeper JMX enabled by default
Using config: /usr/lib/zookeeper/zookeeper-3.4.7/bin/../conf/zoo.cfg
Mode: leader

Park03啟動(dòng)狀態(tài)驗(yàn)證

[root@CH2 bin]# sh zkServer.sh status
ZooKeeper JMX enabled by default
Using config: /usr/lib/zookeeper/zookeeper-3.4.7/bin/../conf/zoo.cfg
Mode: follower

5.2蛛淋、format zkfc

[root@CH0 bin]# hdfs zkfc -formatZK
18/05/29 16:08:35 INFO ha.ActiveStandbyElector: Successfully created /hadoop-ha/ywty in ZK.
18/05/29 16:08:35 INFO zookeeper.ZooKeeper: Session: 0x263aae518180000 closed

[root@CH1 bin]# hdfs zkfc -formatZK
18/05/29 16:09:45 INFO ha.ActiveStandbyElector: Successfully created /hadoop-ha/ywty in ZK.
18/05/29 16:09:45 INFO zookeeper.ZooKeeper: Session: 0x263aae518180000 closed

5.3、JournalNode啟動(dòng)

[root@CH3 ~]# cd /usr/lib/hadoop/hadoop-2.7.1/sbin/
[root@CH3 sbin]# sh hadoop-daemon.sh start journalnode
[root@CH3 sbin]# jps
1464 JournalNode
1513 Jps

[root@CH4 sbin]# sh hadoop-daemon.sh start journalnode
[root@CH4 sbin]# jps
1445 JournalNode
1494 Jps

[root@CH5 sbin]# sh hadoop-daemon.sh start journalnode
[root@CH5 sbin]# jps
1449 JournalNode
1498 Jps

5.4篡腌、format NameNode

[root@CH0 bin]# hadoop namenode -format
18/05/29 16:21:00 INFO common.Storage: Storage directory /usr/lib/hadoop/hadoop-2.7.1/tmp/namenode has been successfully formatted.
18/05/29 16:21:00 INFO namenode.NNStorageRetentionManager: Going to retain 1 images with txid >= 0
18/05/29 16:21:00 INFO util.ExitUtil: Exiting with status 0
18/05/29 16:21:00 INFO namenode.NameNode: SHUTDOWN_MSG: 
/************************************************************/

[root@CH0 ~]# cd /usr/lib/hadoop/hadoop-2.7.1/sbin/
[root@CH0 sbin]# sh hadoop-daemon.sh start namenode
starting namenode, logging to /usr/lib/hadoop/hadoop-2.7.1/logs/hadoop-root-namenode-CH0.out
[root@CH0 sbin]# jps
1604 NameNode
1676 Jps
1438 QuorumPeerMain

5.5铣鹏、bootstrapStandby NameNode

[root@CH1 bin]# hdfs namenode -bootstrapStandby
18/05/29 16:29:12 INFO namenode.NameNode: registered UNIX signal handlers for [TERM, HUP, INT]
18/05/29 16:29:12 INFO namenode.NameNode: createNameNode [-bootstrapStandby]
=====================================================
About to bootstrap Standby ID yy2 from:
       Nameservice ID: ywty
    Other Namenode ID: yy1
  Other NN's HTTP address: http://CH0:50070
  Other NN's IPC  address: CH0/192.168.6.20:9000
         Namespace ID: 1549916029
        Block pool ID: BP-605564131-192.168.6.20-1527582060609
           Cluster ID: CID-a2fc36bc-6fc9-4d5f-8d95-b1c3da1557bd
       Layout version: -63
   isUpgradeFinalized: true
=====================================================
18/05/29 16:29:13 INFO common.Storage: Storage directory /usr/lib/hadoop/hadoop-2.7.1/tmp/namenode has been successfully formatted.
18/05/29 16:29:14 INFO namenode.TransferFsImage: Opening connection to http://CH0:50070/imagetransfer?getimage=1&txid=0&storageInfo=-63:1549916029:0:CID-a2fc36bc-6fc9-4d5f-8d95-b1c3da1557bd
18/05/29 16:29:14 INFO namenode.TransferFsImage: Image Transfer timeout configured to 60000 milliseconds
18/05/29 16:29:14 INFO namenode.TransferFsImage: Transfer took 0.00s at 0.00 KB/s
18/05/29 16:29:14 INFO namenode.TransferFsImage: Downloaded file fsimage.ckpt_0000000000000000000 size 351 bytes.
18/05/29 16:29:14 INFO util.ExitUtil: Exiting with status 0
18/05/29 16:29:14 INFO namenode.NameNode: SHUTDOWN_MSG: 

5.6、NameNode start

[root@CH1 ~]# cd /usr/lib/hadoop/hadoop-2.7.1/sbin/
[root@CH1 sbin]# sh hadoop-daemon.sh start namenode
starting namenode, logging to /usr/lib/hadoop/hadoop-2.7.1/logs/hadoop-root-namenode-CH1.out
[root@CH1 sbin]# jps
1572 NameNode
1644 Jps
1406 QuorumPeerMain

5.7哀蘑、DataNode start

[root@CH3 sbin]# sh hadoop-daemon.sh start datanode
starting datanode, logging to /usr/lib/hadoop/hadoop-2.7.1/logs/hadoop-root-datanode-CH3.out
[root@CH3 sbin]# jps
1617 Jps
1543 DataNode
1464 JournalNode

[root@CH4 sbin]# sh hadoop-daemon.sh start datanode
starting datanode, logging to /usr/lib/hadoop/hadoop-2.7.1/logs/hadoop-root-datanode-CH4.out
[root@CH4 sbin]# jps
1523 DataNode
1445 JournalNode
1597 Jps

[root@CH5 sbin]# sh hadoop-daemon.sh start datanode
starting datanode, logging to /usr/lib/hadoop/hadoop-2.7.1/logs/hadoop-root-datanode-CH5.out
[root@CH5 sbin]# jps
1601 Jps
1527 DataNode
1449 JournalNode

5.8诚卸、ZKFC Start

[root@CH0 sbin]# sh hadoop-daemon.sh start zkfc
starting zkfc, logging to /usr/lib/hadoop/hadoop-2.7.1/logs/hadoop-root-zkfc-CH0.out
[root@CH0 sbin]# jps
1987 Jps
1604 NameNode
1438 QuorumPeerMain
2240 DFSZKFailoverController

[root@CH1 sbin]# sh hadoop-daemon.sh start zkfc
starting zkfc, logging to /usr/lib/hadoop/hadoop-2.7.1/logs/hadoop-root-zkfc-CH1.out
[root@CH1 sbin]# jps
1572 NameNode
1780 DFSZKFailoverController
1844 Jps
1406 QuorumPeerMain

5.9、Yarn Start

[root@CH0 sbin]# sh start-yarn.sh 
starting yarn daemons
starting resourcemanager, logging to /usr/lib/hadoop/hadoop-2.7.1/logs/yarn-root-resourcemanager-CH0.out
CH5: starting nodemanager, logging to /usr/lib/hadoop/hadoop-2.7.1/logs/yarn-root-nodemanager-CH5.out
CH4: starting nodemanager, logging to /usr/lib/hadoop/hadoop-2.7.1/logs/yarn-root-nodemanager-CH4.out
CH3: starting nodemanager, logging to /usr/lib/hadoop/hadoop-2.7.1/logs/yarn-root-nodemanager-CH3.out
[root@CH0 sbin]# jps
2240 DFSZKFailoverController
1604 NameNode
2356 ResourceManager
2621 Jps
1438 QuorumPeerMain

[root@CH2 sbin]# sh yarn-daemon.sh start resourcemanager
starting resourcemanager, logging to /usr/lib/hadoop/hadoop-2.7.1/logs/yarn-root-resourcemanager-CH2.out
[root@CH2 sbin]# jps
1604 ResourceManager
1643 Jps
1439 QuorumPeerMain

6绘迁、瀏覽器訪問(wèn)

CH0 50070

CH1 50070
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