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HBase

简单架构

部分架构

HBase开启

1、启动hadoop

start-all.sh

验证
http://master:50070

2、启动zookeeper
需要在在三台中分别启动
zkServer.sh start
zkServer.sh status

3、启动hbase集群 , 需要在master上执行

start-hbase.sh
stop-hbase.sh
4、验证hbase
http://master:16010
通过 hbase shell 进入到hbase的命令行

NoSQL:
理解: NOT ONLY SQL non-relational(非关系型数据库)

HBASE SHELL 学习:

 1、进入HBASE
     命令: hbase shell

2、help  查看Hbase shell 支持命令:

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

Group name: ddl
Commands: alter, alter_async, alter_status, 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

   3、general

       查看版本:
           version

      查看HBASE当前状态:
           status

4、ddl

   5、namespace

      1.create_namespace 创建命名空间
           hbase> create_namespace 'ns1'
          hbase> create_namespace 'ns1', {'PROPERTY_NAME'=>'PROPERTY_VALUE'}

         create_namespace 'mydb1'

         create_namespace 'mydb2',{'create_time' => '2022-04-25'}

     2.list_namespace 查看当前命名空间

         样例:list_namespace
          结果:
              default  -- 用户默认使用的命名空间
             hbase  -- hbase中存放的是HBase内置的表

    

    3.describe_namespace 查看命名空间的详细信息
         hbase> describe_namespace 'ns1'

        describe_namespace 'mydb1'

    4.alter_namespace 修改命名空间
         To add/modify a property:

          hbase> alter_namespace 'ns1', {METHOD => 'set', 'PROPERTY_NAME' => 'PROPERTY_VALUE'}

        To delete a property:

          hbase> alter_namespace 'ns1', {METHOD => 'unset', NAME=>'PROPERTY_NAME'}
         样例:
         增加author配置并且修改create_time配置
         alter_namespace 'mydb2',{METHOD => 'set', 'author'=> 'act', 'create_time' => '2022-4-26'}
         alter_namespace 'mydb2',{'METHOD' => 'set', 'author'=> 'act', 'create_time' => '2022-4-27'}

        删除create_time配置
         alter_namespace 'mydb2',{METHOD => 'unset', NAME=>'create_time'}

    5.drop_namespace 删除空的命名空间
         drop_namespace 'mydb2'

     6.list_namespace_tables 查看指定命名空间下的表
         list_namespace_tables 'default'

6、DDL-表操作

    1.create 创建表
         t1:表示表名称
         f1:表示列族bersion
         ns1:表示命名空间

        Create a table with namespace=ns1 and table qualifier=t1
           hbase> create 'ns1:t1', {NAME => 'f1', VERSIONS => 5}

        Create a table with namespace=default and table qualifier=t1
           hbase> create 't1', {NAME => 'f1'}, {NAME => 'f2'}, {NAME => 'f3'}
           hbase> # The above in shorthand would be the following:
           hbase> create 't1', 'f1', 'f2', 'f3'
           hbase> create 't1', {NAME => 'f1', VERSIONS => 1, TTL => 2592000, BLOCKCACHE => true}
           hbase> create 't1', {NAME => 'f1', CONFIGURATION => {'hbase.hstore.blockingStoreFiles' => '10'}}

        Table configuration options can be put at the end.
         Examples:

          hbase> create 'ns1:t1', 'f1', SPLITS => ['10', '20', '30', '40']
           hbase> create 't1', 'f1', SPLITS => ['10', '20', '30', '40']
           hbase> create 't1', 'f1', SPLITS_FILE => 'splits.txt', OWNER => 'johndoe'
           hbase> create 't1', {NAME => 'f1', VERSIONS => 5}, METADATA => { 'mykey' => 'myvalue' }
           hbase> # Optionally pre-split the table into NUMREGIONS, using
           hbase> # SPLITALGO ("HexStringSplit", "UniformSplit" or classname)
           hbase> create 't1', 'f1', {NUMREGIONS => 15, SPLITALGO => 'HexStringSplit'}
           hbase> create 't1', 'f1', {NUMREGIONS => 15, SPLITALGO => 'HexStringSplit', REGION_REPLICATION => 2, CONFIGURATION => {'hbase.hregion.scan.loadColumnFamiliesOnDemand' => 'true'}}
           hbase> create 't1', {NAME => 'f1', DFS_REPLICATION => 1}

        You can also keep around a reference to the created table:

          hbase> t1 = create 't1', 'f1'

        样例:
             默认命名空间下创建mytb1表,列族为info
             create 'mytb1', 'info'

            在db1命名空间下创建表
             create_namespace 'db1'
             create 'db1:mytb1', 'info1'

            创建表时指定多个列族
             create 'db1:mytb2', 'info1', 'info2', 'info3'

            创建表并指定列族版本
             create 'db1:mytb4',{NAME => 'info1',VERSIONS => 3}

    2.describe 查看表的具体信息
         样例:
             describe 'db1:mytb2'
                 表中的列族信息中可以看出,每个列族都维护自己的一个版本信息,一个列族对应一个store
             describe 'db1:mytb4'
             desc 'db1:mytb4'
     3.alter 修改表
         help 'alter'
         样例:
             1.修改列族版本号
                  alter 't1', NAME => 'f1', VERSIONS => 5
                  alter 'db1:mytb4', NAME => 'info1', VERSIONS => 4

            2.删除列族
                 alter 'ns1:t1', 'delete' => 'f1'
                 alter 'db1:mytb2','delete' => 'info3' 

                alter 'ns1:t1', NAME => 'f1', METHOD => 'delete'
                 alter 'db1:mytb2', NAME => 'info2', METHOD => 'delete'

    4.删除表
         help 'drop'
         注意: 使用drop操作时先需要执行disable
         样例:
             1.disable 'db1:mytb2'
             2.drop 'db1:mytb2'

    5.关闭及启用表
         1.关闭表操作:
             disable 'db1:mytb1'
             desc 'db1:mytb1'

        2.启用表操作:
             enable 'db1:mytb1'
             desc 'db1:mytb1'

7、DML

     r1 表示 rowKey 
     c1 表示 列名称
     1.put 上传及修改数据操作
         help 'put'
           hbase> put 'ns1:t1', 'r1', 'c1', 'value'
           hbase> put 't1', 'r1', 'c1', 'value'
           hbase> put 't1', 'r1', 'c1', 'value', ts1
           hbase> put 't1', 'r1', 'c1', 'value', {ATTRIBUTES=>{'mykey'=>'myvalue'}}
           hbase> put 't1', 'r1', 'c1', 'value', ts1, {ATTRIBUTES=>{'mykey'=>'myvalue'}}
           hbase> put 't1', 'r1', 'c1', 'value', ts1, {VISIBILITY=>'PRIVATE|SECRET'}
        样例:
            create 'db1:stu', 'info'
            put 'db1:stu', '1001', 'info:name', 'zhangsan'

           注:修改数据可以直接用put上传最新数据进行替换

     2.get 获取一行数据操作
       hbase> t.get 'r1'
       hbase> t.get 'r1', {TIMERANGE => [ts1, ts2]}
       hbase> t.get 'r1', {COLUMN => 'c1'}
       hbase> t.get 'r1', {COLUMN => ['c1', 'c2', 'c3']}
       hbase> t.get 'r1', {COLUMN => 'c1', TIMESTAMP => ts1}
       hbase> t.get 'r1', {COLUMN => 'c1', TIMERANGE => [ts1, ts2], VERSIONS => 4}
       hbase> t.get 'r1', {COLUMN => 'c1', TIMESTAMP => ts1, VERSIONS => 4}
       hbase> t.get 'r1', {FILTER => "ValueFilter(=, 'binary:abc')"}
       hbase> t.get 'r1', 'c1'
       hbase> t.get 'r1', 'c1', 'c2'
       hbase> t.get 'r1', ['c1', 'c2']
       hbase> t.get 'r1', {CONSISTENCY => 'TIMELINE'}
       hbase> t.get 'r1', {CONSISTENCY => 'TIMELINE', REGION_REPLICA_ID => 1}

      get 'db1:stu', '1001' 
       
       put 'db1:stu', '1001', 'info:age', '12'
       get 'db1:stu', '1001'

      put 'db1:stu', '1001', 'info:age', '13'

      获取指定ROWKEY中某一列数据
       get 'db1:stu', '1001', 'info:age'
       
       获取指定RowKey下的多列数据
       get 'db1:stu', '1001', 'info:age','info:name'

    3.scan 获取表中所有数据

put 'db1:stu', '1001', 'info:name', 'zhangsan'
put 'db1:stu', '1001', 'info:age', '13'
put 'db1:stu', '1001', 'info:clazz', 'clazz1'

put 'db1:stu', '1002', 'info:name', 'lisi'
put 'db1:stu', '1002', 'info:age', '13'
put 'db1:stu', '1002', 'info:clazz', 'clazz2'

put 'db1:stu', '1003', 'info:name', 'wangwu'
put 'db1:stu', '1003', 'info:age', '13'
put 'db1:stu', '1003', 'info:clazz', 'clazz3'

        -- scan 'db1:stu'

put 'db1:stu', '1011', 'info:name', 'lisi'
put 'db1:stu', '1011', 'info:age', '13'
put 'db1:stu', '1011', 'info:clazz', 'clazz2'

put 'db1:stu', '1004', 'info:name', 'zhaoliu'
put 'db1:stu', '1004', 'info:age', '13'
put 'db1:stu', '1004', 'info:clazz', 'clazz2'

put 'db1:stu', '1020', 'info:name', 'zhaoliu'
put 'db1:stu', '1020', 'info:age', '13'
put 'db1:stu', '1020', 'info:clazz', 'clazz2'

put 'db1:stu', '10010', 'info:name', 'zhaoliu'
put 'db1:stu', '10010', 'info:age', '13'
put 'db1:stu', '10010', 'info:clazz', 'clazz2'

put 'db1:stu', '1001$', 'info:name', 'zhaoliu'
put 'db1:stu', '1001$', 'info:age', '13'
put 'db1:stu', '1001$', 'info:clazz', 'clazz2'

    ROWKEY是根据字典排序,并且排序的依据是按位比较ASCII码表

    scan 'ns1:t1', {COLUMNS => ['c1', 'c2'], LIMIT => 10, STARTROW => 'xyz'}
     scan 'db1:stu', {limit => 3}

    按ROWKEY范围进行取值 左闭右开 取值包含STARTROW 不包含 STOPROW
     scan 'db1:stu', {STARTROW => '1001',STOPROW => '1004'}

    根据ASCII码表取
     scan 'db1:stu', {STARTROW => '1001!',STOPROW => '1001~'}

    查看表中所有数据并展示所有版本信息
     scan 'db1:stu' ,{RAW=>true,VERSIONS=>10}

    4.list 查看所有表

    5.count 统计表中数据量
         count 'db1:stu'

    6.删除列

        delete 'db1:stu','1001','info:age','1650941469177'
     7.删除一个rowkey
         deleteall 'db1:stu','1001'

    8.清空表
         truncate 'db1:stu'

本文转载自: https://blog.csdn.net/a_black03/article/details/140924595
版权归原作者 小黑03 所有, 如有侵权,请联系我们删除。

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