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目錄
正文 前提1、HBase 依賴于 HDFS 做底層的數(shù)據(jù)存儲 2、HBase 依賴于 MapReduce 做數(shù)據(jù)計算 3、HBase 依賴于 ZooKeeper 做服務(wù)協(xié)調(diào) 4、HBase源碼是java編寫的，安裝需要依賴JDK 版本選擇打開官方的版本說明http://hbase./1.2/book.html JDK的選擇
Hadoop的選擇
此處我們的hadoop版本用的的是2.7.5，HBase選擇的版本是1.2.6 安裝1、zookeeper的安裝參考http://www.cnblogs.com/qingyunzong/p/8619184.html 2、Hadoopd的安裝參考http://www.cnblogs.com/qingyunzong/p/8634335.html 3、下載安裝包找到官網(wǎng)下載 hbase 安裝包 hbase-1.2.6-bin.tar.gz，這里給大家提供一個下載地址： http://mirrors./apache/hbase/
4、上傳服務(wù)器并解壓縮到指定目錄[hadoop@hadoop1 ~]$ ls apps data hbase-1.2.6-bin.tar.gz hello.txt log zookeeper.out [hadoop@hadoop1 ~]$ tar -zxvf hbase-1.2.6-bin.tar.gz -C apps/ 5、修改配置文件配置文件目錄在安裝包的conf文件夾中 （1）修改hbase-env.sh[hadoop@hadoop1 conf]$ vi hbase-env.sh
export JAVA_HOME=/usr/local/jdk1.8.0_73
（2）修改hbase-site.xml[hadoop@hadoop1 conf]$ vi hbase-site.xml
 <configuration> <property> <!-- 指定 hbase 在 HDFS 上存儲的路徑 --> <name>hbase.rootdir</name> <value>hdfs://myha01/hbase126</value> </property> <property> <!-- 指定 hbase 是分布式的 --> <name>hbase.cluster.distributed</name> <value>true</value> </property> <property> <!-- 指定 zk 的地址，多個用“,”分割 --> <name>hbase.zookeeper.quorum</name> <value>hadoop1:2181,hadoop2:2181,hadoop3:2181,hadoop4:2181</value> </property> </configuration> （3）修改regionservers[hadoop@hadoop1 conf]$ vi regionservers
hadoop1 hadoop2 hadoop3 hadoop4
（4）修改backup-masters該文件是不存在的，先自行創(chuàng)建 [hadoop@hadoop1 conf]$ vi backup-masters
hadoop4 （5）修改hdfs-site.xml 和 core-site.xml最重要一步，要把 hadoop 的 hdfs-site.xml 和 core-site.xml 放到 hbase-1.2.6/conf 下 [hadoop@hadoop1 conf]$ cd ~/apps/hadoop-2.7.5/etc/hadoop/ [hadoop@hadoop1 hadoop]$ cp core-site.xml hdfs-site.xml ~/apps/hbase-1.2.6/conf/ 6、將HBase安裝包分發(fā)到其他節(jié)點(diǎn)分發(fā)之前先刪除HBase目錄下的docs文件夾， [hadoop@hadoop1 hbase-1.2.6]$ rm -rf docs/
在進(jìn)行分發(fā) [hadoop@hadoop1 apps]$ scp -r hbase-1.2.6/ hadoop2:$PWD [hadoop@hadoop1 apps]$ scp -r hbase-1.2.6/ hadoop3:$PWD [hadoop@hadoop1 apps]$ scp -r hbase-1.2.6/ hadoop4:$PWD 7、 同步時間HBase 集群對于時間的同步要求的比 HDFS 嚴(yán)格，所以，集群啟動之前千萬記住要進(jìn)行 時間同步，要求相差不要超過 30s 8、配置環(huán)境變量所有服務(wù)器都有進(jìn)行配置 [hadoop@hadoop1 apps]$ vi ~/.bashrc
#HBase export HBASE_HOME=/home/hadoop/apps/hbase-1.2.6 export PATH=$PATH:$HBASE_HOME/bin 使環(huán)境變量立即生效 [hadoop@hadoop1 apps]$ source ~/.bashrc
啟動HBase集群嚴(yán)格按照啟動順序進(jìn)行 1、啟動zookeeper集群每個zookeeper節(jié)點(diǎn)都要執(zhí)行以下命令 [hadoop@hadoop1 apps]$ zkServer.sh start
ZooKeeper JMX enabled by default
Using config: /home/hadoop/apps/zookeeper-3.4.10/bin/../conf/zoo.cfg
Starting zookeeper ... STARTED
[hadoop@hadoop1 apps]$
2、啟動HDFS集群及YARN集群如果需要運(yùn)行MapReduce程序則啟動yarn集群，否則不需要啟動 [hadoop@hadoop1 apps]$ start-dfs.sh
Starting namenodes on [hadoop1 hadoop2]
hadoop2: starting namenode, logging to /home/hadoop/apps/hadoop-2.7.5/logs/hadoop-hadoop-namenode-hadoop2.out
hadoop1: starting namenode, logging to /home/hadoop/apps/hadoop-2.7.5/logs/hadoop-hadoop-namenode-hadoop1.out
hadoop3: starting datanode, logging to /home/hadoop/apps/hadoop-2.7.5/logs/hadoop-hadoop-datanode-hadoop3.out
hadoop4: starting datanode, logging to /home/hadoop/apps/hadoop-2.7.5/logs/hadoop-hadoop-datanode-hadoop4.out
hadoop2: starting datanode, logging to /home/hadoop/apps/hadoop-2.7.5/logs/hadoop-hadoop-datanode-hadoop2.out
hadoop1: starting datanode, logging to /home/hadoop/apps/hadoop-2.7.5/logs/hadoop-hadoop-datanode-hadoop1.out
Starting journal nodes [hadoop1 hadoop2 hadoop3]
hadoop3: starting journalnode, logging to /home/hadoop/apps/hadoop-2.7.5/logs/hadoop-hadoop-journalnode-hadoop3.out
hadoop2: starting journalnode, logging to /home/hadoop/apps/hadoop-2.7.5/logs/hadoop-hadoop-journalnode-hadoop2.out
hadoop1: starting journalnode, logging to /home/hadoop/apps/hadoop-2.7.5/logs/hadoop-hadoop-journalnode-hadoop1.out
Starting ZK Failover Controllers on NN hosts [hadoop1 hadoop2]
hadoop2: starting zkfc, logging to /home/hadoop/apps/hadoop-2.7.5/logs/hadoop-hadoop-zkfc-hadoop2.out
hadoop1: starting zkfc, logging to /home/hadoop/apps/hadoop-2.7.5/logs/hadoop-hadoop-zkfc-hadoop1.out
[hadoop@hadoop1 apps]$
 啟動完成之后檢查以下namenode的狀態(tài) [hadoop@hadoop1 apps]$ hdfs haadmin -getServiceState nn1 standby [hadoop@hadoop1 apps]$ hdfs haadmin -getServiceState nn2 active [hadoop@hadoop1 apps]$ 3、啟動HBase保證 ZooKeeper 集群和 HDFS 集群啟動正常的情況下啟動 HBase 集群 啟動命令：start-hbase.sh，在哪臺節(jié)點(diǎn)上執(zhí)行此命令，哪個節(jié)點(diǎn)就是主節(jié)點(diǎn) [hadoop@hadoop1 conf]$ start-hbase.sh starting master, logging to /home/hadoop/apps/hbase-1.2.6/logs/hbase-hadoop-master-hadoop1.out Java HotSpot(TM) 64-Bit Server VM warning: ignoring option PermSize=128m; support was removed in 8.0 Java HotSpot(TM) 64-Bit Server VM warning: ignoring option MaxPermSize=128m; support was removed in 8.0 hadoop3: starting regionserver, logging to /home/hadoop/apps/hbase-1.2.6/logs/hbase-hadoop-regionserver-hadoop3.out hadoop4: starting regionserver, logging to /home/hadoop/apps/hbase-1.2.6/logs/hbase-hadoop-regionserver-hadoop4.out hadoop2: starting regionserver, logging to /home/hadoop/apps/hbase-1.2.6/logs/hbase-hadoop-regionserver-hadoop2.out hadoop3: Java HotSpot(TM) 64-Bit Server VM warning: ignoring option PermSize=128m; support was removed in 8.0 hadoop3: Java HotSpot(TM) 64-Bit Server VM warning: ignoring option MaxPermSize=128m; support was removed in 8.0 hadoop4: Java HotSpot(TM) 64-Bit Server VM warning: ignoring option PermSize=128m; support was removed in 8.0 hadoop4: Java HotSpot(TM) 64-Bit Server VM warning: ignoring option MaxPermSize=128m; support was removed in 8.0 hadoop2: Java HotSpot(TM) 64-Bit Server VM warning: ignoring option PermSize=128m; support was removed in 8.0 hadoop2: Java HotSpot(TM) 64-Bit Server VM warning: ignoring option MaxPermSize=128m; support was removed in 8.0 hadoop1: starting regionserver, logging to /home/hadoop/apps/hbase-1.2.6/logs/hbase-hadoop-regionserver-hadoop1.out hadoop4: starting master, logging to /home/hadoop/apps/hbase-1.2.6/logs/hbase-hadoop-master-hadoop4.out [hadoop@hadoop1 conf]$ 觀看啟動日志可以看到： （1）首先在命令執(zhí)行節(jié)點(diǎn)啟動 master （2）然后分別在 hadoop02,hadoop03,hadoop04,hadoop05 啟動 regionserver （3）然后在 backup-masters 文件中配置的備節(jié)點(diǎn)上再啟動一個 master 主進(jìn)程 驗(yàn)證啟動是否正常1、檢查各進(jìn)程是否啟動正常主節(jié)點(diǎn)和備用節(jié)點(diǎn)都啟動 hmaster 進(jìn)程 各從節(jié)點(diǎn)都啟動 hregionserver 進(jìn)程
按照對應(yīng)的配置信息各個節(jié)點(diǎn)應(yīng)該要啟動的進(jìn)程如上圖所示 2、通過訪問瀏覽器頁面hadoop1
hadop4
從圖中可以看出hadoop4是備用節(jié)點(diǎn) 3、驗(yàn)證高可用干掉hadoop1上的hbase進(jìn)程，觀察備用節(jié)點(diǎn)是否啟用 [hadoop@hadoop1 conf]$ jps
4960 HMaster
2960 QuorumPeerMain
3169 NameNode
3699 DFSZKFailoverController
3285 DataNode
5098 HRegionServer
5471 Jps
3487 JournalNode
[hadoop@hadoop1 conf]$ kill -9 4960
hadoop1界面訪問不了
hadoop4變成主節(jié)點(diǎn)
4、如果有節(jié)點(diǎn)相應(yīng)的進(jìn)程沒有啟動，那么可以手動啟動啟動HMaster進(jìn)程 [hadoop@hadoop3 conf]$ jps 3360 Jps 2833 JournalNode 2633 QuorumPeerMain 3179 HRegionServer 2732 DataNode [hadoop@hadoop3 conf]$ hbase-daemon.sh start master starting master, logging to /home/hadoop/apps/hbase-1.2.6/logs/hbase-hadoop-master-hadoop3.out Java HotSpot(TM) 64-Bit Server VM warning: ignoring option PermSize=128m; support was removed in 8.0 Java HotSpot(TM) 64-Bit Server VM warning: ignoring option MaxPermSize=128m; support was removed in 8.0 [hadoop@hadoop3 conf]$ jps 2833 JournalNode 3510 Jps 3432 HMaster 2633 QuorumPeerMain 3179 HRegionServer 2732 DataNode [hadoop@hadoop3 conf]$
啟動HRegionServer進(jìn)程 [hadoop@hadoop3 conf]$ hbase-daemon.sh start regionserver
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