【Hbase学习之二】Hbase 搭建

环境
　　虚拟机：VMware 10
　　Linux版本：CentOS-6.5-x86_64
　　客户端：Xshell4
　　FTP：Xftp4
　　jdk8
　　hadoop-3.1.1
　　hbase-2.1.3

一、单机模式搭建

不依赖HDFS 使用本地文件系统。

1、解压HBase，配置HBase环境变量
[root@PCS102 local]# tar -zxvf hbase-2.1.3-bin.tar.gz -C /usr/local/
[root@PCS102 local]# vi /etc/profile

[root@PCS102 local]# source /etc/profile

2、hbase-env.sh中配置JAVA_HOME
export JAVA_HOME=/usr/local/jdk1.8.0_65

3、配置hbase-site.xml

<configuration>
  <property>
  <name>hbase.rootdir</name>
  <value>file:///home/testuser/hbase</value>
  </property>
  <property>
  <name>hbase.zookeeper.property.dataDir</name>
  <value>/home/testuser/zookeeper</value>
  </property>
  <property>
  <name>hbase.unsafe.stream.capability.enforce</name>
  <value>false</value>
  </property>
</configuration>

4、启动

[root@PCS102 bin]# /usr/local/hbase-2.1./bin/start-hbase.sh
[root@PCS102 bin]# jps
 Jps
 HMaster

#进入控制台 HBASE SHELL  表的相关操作

[root@PCS102 bin]# hbase shell
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/usr/local/hadoop-3.1./share/hadoop/common/lib/slf4j-log4j12-1.7..jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/usr/local/hbase-2.1./lib/client-facing-thirdparty/slf4j-log4j12-1.7..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
Use "help" to get list of supported commands.
Use "exit" to quit this interactive shell.
For Reference, please visit: http://hbase.apache.org/2.0/book.html#shell
Version 2.1., rda5ec9e4c06c537213883cca8f3cc9a7c19daf67, Mon Feb  :: CST
Took 0.1818 seconds
#help命令：查看所有命令清单
hbase(main)::> help
HBase Shell, version 2.1., rda5ec9e4c06c537213883cca8f3cc9a7c19daf67, Mon Feb  :: CST
Type 'help "COMMAND"', (e.g. 'help "get"' -- the quotes are necessary) for help on a specific command.
Commands are grouped. Type 'help "COMMAND_GROUP"', (e.g. 'help "general"') for help on a command group.

COMMAND GROUPS:
Group name: general
Commands: processlist, status, table_help, version, whoami

Group name: ddl
Commands: alter, alter_async, alter_status, clone_table_schema, create, describe, disable, disable_all, drop, drop_all, enable, enable_all, exists, get_table, is_disabled, is_enabled, list, list_regions, locate_region, show_filters

Group name: namespace
Commands: alter_namespace, create_namespace, describe_namespace, drop_namespace, list_namespace, list_namespace_tables

Group name: dml
Commands: append, count, delete, deleteall, get, get_counter, get_splits, incr, put, scan, truncate, truncate_preserve

Group name: tools
Commands: assign, balance_switch, balancer, balancer_enabled, catalogjanitor_enabled, catalogjanitor_run, catalogjanitor_switch, cleaner_chore_enabled, cleaner_chore_run, cleaner_chore_switch, clear_block_cache, clear_compaction_queues, clear_deadservers, close_region, compact, compact_rs, compaction_state, flush, is_in_maintenance_mode, list_deadservers, major_compact, merge_region, move, normalize, normalizer_enabled, normalizer_switch, split, splitormerge_enabled, splitormerge_switch, stop_master, stop_regionserver, trace, unassign, wal_roll, zk_dump

Group name: replication
Commands: add_peer, append_peer_exclude_namespaces, append_peer_exclude_tableCFs, append_peer_namespaces, append_peer_tableCFs, disable_peer, disable_table_replication, enable_peer, enable_table_replication, get_peer_config, list_peer_configs, list_peers, list_replicated_tables, remove_peer, remove_peer_exclude_namespaces, remove_peer_exclude_tableCFs, remove_peer_namespaces, remove_peer_tableCFs, set_peer_bandwidth, set_peer_exclude_namespaces, set_peer_exclude_tableCFs, set_peer_namespaces, set_peer_replicate_all, set_peer_serial, set_peer_tableCFs, show_peer_tableCFs, update_peer_config

Group name: snapshots
Commands: clone_snapshot, delete_all_snapshot, delete_snapshot, delete_table_snapshots, list_snapshots, list_table_snapshots, restore_snapshot, snapshot

Group name: configuration
Commands: update_all_config, update_config

Group name: quotas
Commands: list_quota_snapshots, list_quota_table_sizes, list_quotas, list_snapshot_sizes, set_quota

Group name: security
Commands: grant, list_security_capabilities, revoke, user_permission

Group name: procedures
Commands: list_locks, list_procedures

Group name: visibility labels
Commands: add_labels, clear_auths, get_auths, list_labels, set_auths, set_visibility

Group name: rsgroup
Commands: add_rsgroup, balance_rsgroup, get_rsgroup, get_server_rsgroup, get_table_rsgroup, list_rsgroups, move_namespaces_rsgroup, move_servers_namespaces_rsgroup, move_servers_rsgroup, move_servers_tables_rsgroup, move_tables_rsgroup, remove_rsgroup, remove_servers_rsgroup

SHELL USAGE:
Quote all names in HBase Shell such as table and column names. Commas delimit
command parameters. Type <RETURN> after entering a command to run it.
Dictionaries of configuration used in the creation and alteration of tables are
Ruby Hashes. They look like this:

{'key1' => 'value1', 'key2' => 'value2', ...}

and are opened and closed with curley-braces. Key/values are delimited by the
'=>' character combination. Usually keys are predefined constants such as
NAME, VERSIONS, COMPRESSION, etc. Constants do not need to be quoted. Type
'Object.constants' to see a (messy) list of all constants in the environment.

If you are using binary keys or values and need to enter them in the shell, use
double-quote'd hexadecimal representation. For example:

hbase> get 't1', "key\x03\x3f\xcd"
hbase> get 't1', "key\003\023\011"
hbase> put 't1', "test\xef\xff", 'f1:', "\x01\x33\x40"

The HBase shell is the (J)Ruby IRB with the above HBase-specific commands added.
For more on the HBase Shell, see http://hbase.apache.org/book.html
#version查看版本
hbase(main)::> version
2.1., rda5ec9e4c06c537213883cca8f3cc9a7c19daf67, Mon Feb  :: CST
Took 0.0005 seconds
#whoami查看当前用户
hbase(main)::> whoami
root (auth:SIMPLE)
groups: root
Took 0.0175 seconds
#create建表
hbase(main)::> create 'test','cf'
Created table test
Took 0.7281 seconds
=> Hbase::Table - test
#describe查看 表详情
hbase(main)::> describe 'test'
Table test is ENABLED
test
COLUMN FAMILIES DESCRIPTION
{NAME => 'cf', VERSIONS => '', EVICT_BLOCKS_ON_CLOSE => 'false', NEW_VERSION_BEHAVIOR => 'false', KEEP_DELETED_CELLS =>
'FALSE', CACHE_DATA_ON_WRITE => 'false', DATA_BLOCK_ENCODING => 'NONE', TTL => 'FOREVER', MIN_VERSIONS => '', REPLICATIO
N_SCOPE => '', BLOOMFILTER => 'ROW', CACHE_INDEX_ON_WRITE => 'false', IN_MEMORY => 'false', CACHE_BLOOMS_ON_WRITE => 'fa
lse', PREFETCH_BLOCKS_ON_OPEN => 'false', COMPRESSION => 'NONE', BLOCKCACHE => 'true', BLOCKSIZE => ''}
 row(s)
Took 0.0490 seconds
#list查找表
hbase(main)::> list 'test'
TABLE
test
 row(s)
Took 0.0055 seconds
=> ["test"]
#插入表数据
hbase(main)::> put 'test', 'row1', 'cf:a', 'value1'
Took 0.1268 seconds
hbase(main)::> put 'test', 'row2', 'cf:b', 'value2'
Took 0.0074 seconds
hbase(main)::> put 'test', 'row3', 'cf:c', 'value3'
Took 0.0049 seconds
#scan查看所有表数据
hbase(main)::> scan 'test'
ROW COLUMN+CELL
row1 column=cf:a, timestamp=, value=value1
row2 column=cf:b, timestamp=, value=value2
row3 column=cf:c, timestamp=, value=value3
 row(s)
Took 0.0257 seconds
#get查找指定数据
hbase(main)::> get 'test','row1'
COLUMN CELL
cf:a timestamp=, value=value1
 row(s)
Took 0.0318 seconds
#disable 表失效 enable 表生效
hbase(main)::> disable 'test'
Took 0.4667 seconds
hbase(main)::> enable 'test'
Took 0.7440 seconds
#drop删除表
hbase(main)::> disable 'test'
Took 0.4310 seconds
hbase(main)::> drop 'test'
Took 0.2304 seconds
#exit退出
hbase(main)::> exit
[root@PCS102 bin]#

5、关闭
[root@PCS102 bin]# /usr/local/hbase-2.1.3/bin/stop-hbase.sh

6、查看表文件

#先强制把表数据刷出到文件
hbase(main)::> flush 'psn'
Took 0.2759 seconds

#使用命令查看hbase -hfile -p -f
[root@PCS102 cf]# pwd
/home/testuser/hbase/data/default/psn/d00b0b3a2ca0a14caacff17f315f1127/cf
[root@PCS102 cf]# ls
2fd8197c6ea747a1b0b1f6ca63fee0b4
[root@PCS102 cf]# hbase -hfile -p -f 2fd8197c6ea747a1b0b1f6ca63fee0b4

注意：hbase-env.sh配置：HBASE_MANAGERS_ZK=true 默认值true
HBase伪分布式默认使用内置zookeeper

*************

伪分布式和完全分布式依赖HDFS，但是Hadoop和HBase的版本直接不一定支持，搭建之前需要明确支持关系
可以参考：http://hbase.apache.org/book.html 进去搜索：Hadoop version support matrix

************

二、伪分布式搭建

1> 所有进程运行在同一个节点上,不同进程运行在不同的JVM当中
2> 比较适合实验测试
3> 伪分布式的ZK可以使用外部ZK，也可以使用内置ZK

1、配置hbase-site.xml（内置ZK配置）

<configuration>
<!-- 设置HRegionServers共享目录，用来持久化 HBase
注意：hbase.rootdir里面的HDFS地址是要跟 Hadoop的core-site.xml
里面的 fs.defaultFS 的 HDFS 的 IP 地址或者域名、端口必须一致
-->
  <property>
  <name>hbase.rootdir</name>
  <value>hdfs://PCS102:9820/hbase</value>
</property>
<property>
  <name>hbase.zookeeper.property.dataDir</name>
  <value>/home/testuser/zookeeper</value>
  </property>
<property>
  <name>hbase.cluster.distributed</name>
  <value>true</value>
</property>
</configuration>

2、配置regionservers

[root@PCS102 conf]# vi /usr/local/hbase-2.1./conf/regionservers

该配置列出regionserver节点清单，默认为localhost，这里改成PCS102 当前节点域名

3、启动HBase(注意Hbase和hadoop版本 否则启动不成功)

[root@PCS102 bin]# hbase-daemon.sh start zookeeper
localhost: running zookeeper, logging to /usr/local/hbase-2.1./bin/../logs/hbase-root-zookeeper-PCS102.out
[root@PCS102 bin]# hbase-daemon.sh start master
running master, logging to /usr/local/hbase-2.1./logs/hbase-root-master-PCS102.out
[root@PCS102 bin]# hbase-daemon.sh start regionserver
PCS102: running regionserver, logging to /usr/local/hbase-2.1./bin/../logs/hbase-root-regionserver-PCS102.out
[root@PCS102 bin]# jps
 RunJar
26645 HRegionServer
 NameNode
 NodeManager
 DataNode
 JobHistoryServer
 ResourceManager
 SecondaryNameNode
 Jps
26271 HQuorumPeer
20055 HMaster

可以在/usr/local/hbase-2.1.3/logs下查看日志

查看HDFS
hdfs dfs -ls /hbase

三、完全分布式搭建

搭建方案：

节点	NN	DN	ZK	Master	Backup-Master	RegionServer
node1	1		1	1
node2	1	1	1			1
node3		1	1			1
node4		1				1
node5					1

1、保证各个节点时间date同步
(1)安装ntp服务
yum install -y ntp
(2)所有节点使用ntp进行时间同步(使用阿里的NTP服务器)
ntpdate 120.25.108.11

2、搭建、启动hadoop集群
参考：https://www.cnblogs.com/cac2020/p/10212607.html

3、配置hbase-env.sh
配置JAVA环境变量:export JAVA_HOME=/usr/local/jdk1.8.0_65
配置使用外部ZK：HBASE_MANAGERS_ZK=true

4、配置hbase.site.xml

<configuration>
  <property>
  <name>hbase.rootdir</name>
  <value>hdfs://hdfscluster:9820/hbase</value>
  </property>
  <property>
  <name>hbase.cluster.distributed</name>
  <value>true</value>
  </property>
  #ZK清单
  <property>
  <name>hbase.zookeeper.quorum</name>
  <value>node1,node2,node3</value>
  </property>
</configuration>

5、配置regionservers
根据规划，配置regionserver节点清单

node2
node3
node4

6、配置backup-masters（/usr/local/hbase-2.1.3/conf没有这个文件 需要新建一个）
根据规划，配置Backup-Master节点清单

node5

7、拷贝hadoop配置hdfs-site.xml(强调：hadoop版本和hbase版本对应问题)

[root@node1 conf]# cp /usr/local/hadoop-3.1./etc/hadoop/hdfs-site.xml ./

8、分发hbase目录到所有节点

[root@node1 local]# scp -r ./hbase-2.1. node2:`pwd`
[root@node1 local]# scp -r ./hbase-2.1. node3:`pwd`
[root@node1 local]# scp -r ./hbase-2.1. node4:`pwd`
[root@node1 local]# scp -r ./hbase-2.1. node5:`pwd`

9、启动HBase

[root@node1 local]# start-hbase.sh

10、Hbase shell进行表相关操作

[root@node5 local]# hbase shell

11、停止

[root@node1 local]# stop-hbase.sh

参考：

Hbase的伪分布式安装