HBase的多节点集群详细启动步骤（3或5节点）分为：

　　1、HBASE_MANAGES_ZK的默认值是false（zookeeper外装）（推荐）

　　2、HBASE_MANAGES_ZK的默认值是true（zookeeper自带）

1、HBASE_MANAGES_ZK的默认值是false（推荐）

　　伪分布模式下,如(weekend110)
　　hbase-env.sh配置文档中的HBASE_MANAGES_ZK的默认值是true，它表示HBase使用自身自带的Zookeeper实例。但是，该实例只能为单机或伪分布模式下的HBase提供服务。

　　若是分布式模式，则需要配置自己的Zookeeper集群。如(HadoopMaster、HadoopSlave1、HadoopSlave2)
　　hbase-env.sh配置文档中的HBASE_MANAGES_ZK的默认值是true，它表示，分布式模式里，在启动HBase时，HBase将Zookeeper作为自身的一部分运行。进程变为HQuorumPeer。
　　hbase-env.sh配置文档中的HBASE_MANAGES_ZK的默认值是false，它表示，分布式模式里，需要，先提前手动，每个节点都手动启动Zookeeper，然后再在主节点上启动HBase时，进程变为HMaster（HadoopMaster节点）。

　　若，HBASE_MANAGES_ZK的默认值是false
1、则，直接在HadoopMaster机器上，先启动Hadoop，
2、在HadoopMaster、HadoopSlave1、HadoopSlave2机器上，分别手动一个一个得去，启动Zookeeper
3、在HadoopMaster机器上，再启动HBase即可。

　　1、则，直接在HadoopMaster机器上，先启动Hadoop，
[hadoop@HadoopMaster hadoop-2.6.0]$ jps
1998 Jps
[hadoop@HadoopMaster hadoop-2.6.0]$ sbin/start-all.sh
This script is Deprecated. Instead use start-dfs.sh and start-yarn.sh
16/11/02 19:59:22 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
Starting namenodes on [HadoopMaster]
HadoopMaster: starting namenode, logging to /home/hadoop/app/hadoop-2.6.0/logs/hadoop-hadoop-namenode-HadoopMaster.out
HadoopSlave1: starting datanode, logging to /home/hadoop/app/hadoop-2.6.0/logs/hadoop-hadoop-datanode-HadoopSlave1.out
HadoopSlave2: starting datanode, logging to /home/hadoop/app/hadoop-2.6.0/logs/hadoop-hadoop-datanode-HadoopSlave2.out
Starting secondary namenodes [0.0.0.0]
0.0.0.0: starting secondarynamenode, logging to /home/hadoop/app/hadoop-2.6.0/logs/hadoop-hadoop-secondarynamenode-HadoopMaster.out
16/11/02 20:00:00 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
starting yarn daemons
starting resourcemanager, logging to /home/hadoop/app/hadoop-2.6.0/logs/yarn-hadoop-resourcemanager-HadoopMaster.out
HadoopSlave2: starting nodemanager, logging to /home/hadoop/app/hadoop-2.6.0/logs/yarn-hadoop-nodemanager-HadoopSlave2.out
HadoopSlave1: starting nodemanager, logging to /home/hadoop/app/hadoop-2.6.0/logs/yarn-hadoop-nodemanager-HadoopSlave1.out
[hadoop@HadoopMaster hadoop-2.6.0]$ jps
2281 SecondaryNameNode
2124 NameNode
2430 ResourceManager
2736 Jps

[hadoop@HadoopSlave1 hadoop-2.6.0]$ jps
1877 Jps
[hadoop@HadoopSlave1 hadoop-2.6.0]$ jps
2003 NodeManager
2199 Jps
1928 DataNode
[hadoop@HadoopSlave1 hadoop-2.6.0]$

[hadoop@HadoopSlave2 hadoop-2.6.0]$ jps
1893 Jps
[hadoop@HadoopSlave2 hadoop-2.6.0]$ jps
2019 NodeManager
2195 Jps
1945 DataNode
[hadoop@HadoopSlave2 hadoop-2.6.0]$

　　2、在HadoopMaster、HadoopSlave1、HadoopSlave2机器上，分别手动一个一个得去，启动Zookeeper
[hadoop@HadoopMaster hadoop-2.6.0]$cd ..
[hadoop@HadoopMaster app]$ cd zookeeper-3.4.6/
[hadoop@HadoopMaster zookeeper-3.4.6]$ bin/zkServer.sh start
[hadoop@HadoopSlave1 zookeeper-3.4.6]$ bin/zkServer.sh start
[hadoop@HadoopSlave2 zookeeper-3.4.6]$ bin/zkServer.sh start

　　3、在HadoopMaster机器上，再启动HBase即可。
[hadoop@HadoopMaster hadoop-2.6.0]$ cd ..
[hadoop@HadoopMaster app]$ cd hbase-1.2.3
[hadoop@HadoopMaster hbase-1.2.3]$ bin/start-hbase.sh
HadoopSlave2: starting zookeeper, logging to /home/hadoop/app/hbase-1.2.3/bin/../logs/hbase-hadoop-zookeeper-HadoopSlave2.out
HadoopSlave1: starting zookeeper, logging to /home/hadoop/app/hbase-1.2.3/bin/../logs/hbase-hadoop-zookeeper-HadoopSlave1.out
HadoopMaster: starting zookeeper, logging to /home/hadoop/app/hbase-1.2.3/bin/../logs/hbase-hadoop-zookeeper-HadoopMaster.out
starting master, logging to /home/hadoop/app/hbase-1.2.3/logs/hbase-hadoop-master-HadoopMaster.out
HadoopSlave1: starting regionserver, logging to /home/hadoop/app/hbase-1.2.3/bin/../logs/hbase-hadoop-regionserver-HadoopSlave1.out
HadoopSlave2: starting regionserver, logging to /home/hadoop/app/hbase-1.2.3/bin/../logs/hbase-hadoop-regionserver-HadoopSlave2.out
[hadoop@HadoopMaster hbase-1.2.3]$ jps

　　进入hbase shell啊，只有HadoopMaster才可进，
[hadoop@HadoopMaster hbase-1.2.3]$ hbase shell
2016-11-02 20:07:31,288 WARN [main] util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/home/hadoop/app/hbase-1.2.3/lib/slf4j-log4j12-1.7.5.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/home/hadoop/app/hadoop-2.6.0/share/hadoop/common/lib/slf4j-log4j12-1.7.5.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory]
HBase Shell; enter 'help<RETURN>' for list of supported commands.
Type "exit<RETURN>" to leave the HBase Shell
Version 1.2.3, rbd63744624a26dc3350137b564fe746df7a721a4, Mon Aug 29 15:13:42 PDT 2016

hbase(main):001:0>

[hadoop@HadoopSlave1 hadoop-2.6.0]$ hbase shell
-bash: hbase: command not found
[hadoop@HadoopSlave1 hadoop-2.6.0]$

[hadoop@HadoopSlave2 hadoop-2.6.0]$ hbase shell
-bash: hbase: command not found
[hadoop@HadoopSlave2 hadoop-2.6.0]$

退出hbase shell啊
hbase(main):001:0> exit
[hadoop@HadoopMaster hbase-1.2.3]$

2、HBASE_MANAGES_ZK的默认值是true

　　伪分布模式下,如(weekend110、djt002)
hbase-env.sh配置文档中的HBASE_MANAGES_ZK的默认值是true，它表示HBase使用自身自带的Zookeeper实例。
但是，该实例只能为单机或伪分布模式下的HBase提供服务。

　　若是分布式模式，则需要配置自己的Zookeeper集群。如(HadoopMaster、HadoopSlave1、HadoopSlave2)
　　hbase-env.sh配置文档中的HBASE_MANAGES_ZK的默认值是true，它表示，分布式模式里，在启动HBase时，HBase将Zookeeper作为自身的一部分运行。进程变为HQuorumPeer。
　　hbase-env.sh配置文档中的HBASE_MANAGES_ZK的默认值是false，它表示，分布式模式里，需要，先提前手动，每个节点都手动启动Zookeeper，然后再在主节点上启动HBase时，进程变为HMaster（HadoopMaster节点）。

　　若，HBASE_MANAGES_ZK的默认值是true
1、则，直接在HadoopMaster机器上，先启动Hadoop，
2、再启动HBase即可。

　　1、则，直接在HadoopMaster机器上，先启动Hadoop，
[hadoop@HadoopMaster hadoop-2.6.0]$ jps
1998 Jps
[hadoop@HadoopMaster hadoop-2.6.0]$ sbin/start-all.sh
This script is Deprecated. Instead use start-dfs.sh and start-yarn.sh
16/11/02 19:59:22 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
Starting namenodes on [HadoopMaster]
HadoopMaster: starting namenode, logging to /home/hadoop/app/hadoop-2.6.0/logs/hadoop-hadoop-namenode-HadoopMaster.out
HadoopSlave1: starting datanode, logging to /home/hadoop/app/hadoop-2.6.0/logs/hadoop-hadoop-datanode-HadoopSlave1.out
HadoopSlave2: starting datanode, logging to /home/hadoop/app/hadoop-2.6.0/logs/hadoop-hadoop-datanode-HadoopSlave2.out
Starting secondary namenodes [0.0.0.0]
0.0.0.0: starting secondarynamenode, logging to /home/hadoop/app/hadoop-2.6.0/logs/hadoop-hadoop-secondarynamenode-HadoopMaster.out
16/11/02 20:00:00 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
starting yarn daemons
starting resourcemanager, logging to /home/hadoop/app/hadoop-2.6.0/logs/yarn-hadoop-resourcemanager-HadoopMaster.out
HadoopSlave2: starting nodemanager, logging to /home/hadoop/app/hadoop-2.6.0/logs/yarn-hadoop-nodemanager-HadoopSlave2.out
HadoopSlave1: starting nodemanager, logging to /home/hadoop/app/hadoop-2.6.0/logs/yarn-hadoop-nodemanager-HadoopSlave1.out
[hadoop@HadoopMaster hadoop-2.6.0]$ jps
2281 SecondaryNameNode
2124 NameNode
2430 ResourceManager
2736 Jps

[hadoop@HadoopSlave1 hadoop-2.6.0]$ jps
1877 Jps
[hadoop@HadoopSlave1 hadoop-2.6.0]$ jps
2003 NodeManager
2199 Jps
1928 DataNode
[hadoop@HadoopSlave1 hadoop-2.6.0]$

[hadoop@HadoopSlave2 hadoop-2.6.0]$ jps
1893 Jps
[hadoop@HadoopSlave2 hadoop-2.6.0]$ jps
2019 NodeManager
2195 Jps
1945 DataNode
[hadoop@HadoopSlave2 hadoop-2.6.0]$

　　2、再启动HBase即可。
[hadoop@HadoopMaster hadoop-2.6.0]$ cd ..
[hadoop@HadoopMaster app]$ cd hbase-1.2.3
[hadoop@HadoopMaster hbase-1.2.3]$ bin/start-hbase.sh
HadoopSlave2: starting zookeeper, logging to /home/hadoop/app/hbase-1.2.3/bin/../logs/hbase-hadoop-zookeeper-HadoopSlave2.out
HadoopSlave1: starting zookeeper, logging to /home/hadoop/app/hbase-1.2.3/bin/../logs/hbase-hadoop-zookeeper-HadoopSlave1.out
HadoopMaster: starting zookeeper, logging to /home/hadoop/app/hbase-1.2.3/bin/../logs/hbase-hadoop-zookeeper-HadoopMaster.out
starting master, logging to /home/hadoop/app/hbase-1.2.3/logs/hbase-hadoop-master-HadoopMaster.out
HadoopSlave1: starting regionserver, logging to /home/hadoop/app/hbase-1.2.3/bin/../logs/hbase-hadoop-regionserver-HadoopSlave1.out
HadoopSlave2: starting regionserver, logging to /home/hadoop/app/hbase-1.2.3/bin/../logs/hbase-hadoop-regionserver-HadoopSlave2.out
[hadoop@HadoopMaster hbase-1.2.3]$ jps
3201 Jps
2281 SecondaryNameNode
2951 HQuorumPeer
2124 NameNode
2430 ResourceManager
3013 HMaster
[hadoop@HadoopMaster hbase-1.2.3]$

[hadoop@HadoopSlave1 hadoop-2.6.0]$ jps
2336 HRegionServer
2003 NodeManager
2396 Jps
2257 HQuorumPeer
1928 DataNode
[hadoop@HadoopSlave1 hadoop-2.6.0]$

[hadoop@HadoopSlave2 hadoop-2.6.0]$ jps
2019 NodeManager
2254 HQuorumPeer
2451 Jps
2333 HRegionServer
1945 DataNode
[hadoop@HadoopSlave2 hadoop-2.6.0]$

　　进入hbase shell啊，只有HadoopMaster才可进，
[hadoop@HadoopMaster hbase-1.2.3]$ hbase shell
2016-11-02 20:07:31,288 WARN [main] util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/home/hadoop/app/hbase-1.2.3/lib/slf4j-log4j12-1.7.5.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/home/hadoop/app/hadoop-2.6.0/share/hadoop/common/lib/slf4j-log4j12-1.7.5.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory]
HBase Shell; enter 'help<RETURN>' for list of supported commands.
Type "exit<RETURN>" to leave the HBase Shell
Version 1.2.3, rbd63744624a26dc3350137b564fe746df7a721a4, Mon Aug 29 15:13:42 PDT 2016

hbase(main):001:0>

[hadoop@HadoopSlave1 hadoop-2.6.0]$ hbase shell
-bash: hbase: command not found
[hadoop@HadoopSlave1 hadoop-2.6.0]$

[hadoop@HadoopSlave2 hadoop-2.6.0]$ hbase shell
-bash: hbase: command not found
[hadoop@HadoopSlave2 hadoop-2.6.0]$

退出hbase shell啊
hbase(main):001:0> exit
[hadoop@HadoopMaster hbase-1.2.3]$

　　

HBase的多节点集群详细启动步骤（3或5节点）（分为Zookeeper自带还是外装）的更多相关文章

  1. Kafka的3节点集群详细启动步骤（Zookeeper是外装）

    首先,声明,kafka集群是搭建在hadoop1.hadoop2和hadoop3机器上. kafka_2.10-0.8.1.1.tgz的1或3节点集群的下载.安装和配置(图文详细教程)绝对干货 如下分 ...

  2. Hadoop的多节点集群详细启动步骤（3或5节点）

    版本1 利用自己写的脚本来启动,见如下博客 hadoop-2.6.0-cdh5.4.5.tar.gz(CDH)的3节点集群搭建 hadoop-2.6.0.tar.gz的集群搭建(3节点) hadoop ...

  3. HBase的单节点集群详细启动步骤（分为Zookeeper自带还是外装）

    伪分布模式下,如(weekend110)hbase-env.sh配置文档中的HBASE_MANAGES_ZK的默认值是true,它表示HBase使用自身自带的Zookeeper实例.但是,该实例只能为 ...

  4. Zookeeper的多节点集群详细启动步骤（3或5节点）

    分为 (1)分别去3或5节点上去启动Zookeeper进程 (2)自己写个脚本,直接在主节点上去启动Zookeeper进程. (1)分别去3或5节点上去启动Zookeeper进程 第一步: [hado ...

  5. storm的3节点集群详细启动步骤（非HA和HA）（图文详解）

    前期博客 apache-storm-1.0.2.tar.gz的集群搭建(3节点)(图文详解)(非HA和HA) 启动storm集群(HA) 本博文情况是 master(主) nimbus slave1( ...

  6. Hive的单节点集群详细启动步骤

    说在前面的话, 在这里,推荐大家,一定要先去看这篇博客,如下 再谈hive-1.0.0与hive-1.2.1到JDBC编程忽略细节问题 Hadoop Hive概念学习系列之hive三种方式区别和搭建. ...

  7. Hadoop的单节点集群详细启动步骤

    见,如下博客 hadoop-2.2.0.tar.gz的伪分布集群环境搭建(单节点) 很简单,不多赘述.

  8. Zookeeper的单节点集群详细启动步骤

    这个很简单,见如下博客. 1 week110的zookeeper的安装 + zookeeper提供少量数据的存储 [hadoop@weekend110 zookeeper-3.4.6]$ pwd/ho ...

  9. Hyperledger Fabric 1.0 从零开始（九）——Fabric多节点集群生产启动

    7:Fabric多节点集群生产启动 7.1.多节点服务器配置 在生产环境上,我们沿用4.1.配置说明中的服务器各节点配置方案. 我们申请了五台生产服务器,其中四台服务器运行peer节点,另外一台服务器 ...

随机推荐

  1. vs2005下面编译自己的luars232.dll

    vc6在win7下用不了,大家建议使用vs2005...所以就装了,但是还是提示有不兼容,不过是可以用的.先凑合用,装了个2012,庞然大物!而且折腾了半天不知所云.先这样吧. 简单记录操作过程,参考 ...

  2. LR 监控mysql

    sapphire的个人空间 中介绍了LoadRunner监控Mysql和Appache进程占用cpu的方法 方法如下: 公司的新产品需要监控Mysql和Appache进程,求高手帮忙总算成功了. 服务 ...

  3. 两周赚100万 在Google Play做对了什么

    http://tech.it168.com/a2013/0301/1457/000001457913_all.shtml

  4. [机器学习实战] k邻近算法

    1. k邻近算法原理: 存在一个样本数据集,也称作训练样本集,并且样本集中每个数据都存在标签,即我们知道样本集中每一数据与所属分类的对应关系.输入没有标签的新数据后,将新数据的每个特征与样本集中数据对 ...

  5. 阿里云web播放器

    原文地址:https://help.aliyun.com/document_detail/51991.html?spm=5176.doc61109.6.703.ZTCYoi 一.概念说明 1. pla ...

  6. AES + RSA + Hash 实现 C-S 安全交互

    概述 AES 由于其执行速度快,易于硬件实现,破解难度大等优势,被广泛用于数据的加密. 既然是对称加密,那如何保证秘钥的安全传输?很容易想到用 RSA 加密秘钥.由于只能用私钥解密,而私钥不需要交互双 ...

  7. unity3d创建window

    unity3d创建windwo的方法如下: GUILayout.Window (, new Rect (50, 50, 200, 100), Func1, "窗口1"); 第一个参 ...

  8. Android之常用功能代码

    透明导航栏 if(Build.VERSION.SDK_INT >= Build.VERSION_CODES.KITKAT) { getWindow().addFlags(WindowManage ...

  9. composer自动加载一个文件后必须执行命令composer dump-autoload

    "autoload": { "classmap": [ "database" ], "psr-4": { "A ...

  10. @@identity、scope_identity()、IDENT_CURRENT('tablename')函数的区别

    @@IDENTITY 和SCOPE_IDENTITY 返回在当前会话中的任何表内所生成的最后一个标识值.但是,SCOPE_IDENTITY 只返回插入到当前作用域中的值:@@IDENTITY 不受限于 ...