HBase操作（Shell与Java API）

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转： http://blog.csdn.net/u013980127/article/details/52443155

下面代码在Hadoop 2.6.4 + Hbase 1.2.2 + centos 6.5 + jdk 1.8上运行通过。

HBase操作

一般操作

命令	说明
status	显示集群状态. 选项：‘summary’, ‘simple’, or ‘detailed’. 默认值：‘summary’.  hbase> status  hbase> status ‘simple’  hbase> status ‘summary’  hbase> status ‘detailed’
version	显示版本。 hbase> version
whoami	显示当前用户与组。 hbase> whoami

表管理

1. alter

修改表结构必须先disable

Shell：

语法：alter 't1', {NAME => 'f1'}, {NAME => 'f2', METHOD => 'delete'}
必须指定列族。示例：
表t1的列族f1，修改或增加VERSIONS为5

hbase> alter ‘t1’, NAME => ‘f1’, VERSIONS => 5

也可以同时修改多个列族：

hbase> alter ‘t1’, ‘f1’, {NAME => ‘f2’, IN_MEMORY => true}, {NAME => ‘f3’, VERSIONS => 5}

删除表t1的f1列族：

hbase> alter ‘t1’, NAME => ‘f1’, METHOD => ‘delete’
或
hbase> alter ‘t1’, ‘delete’ => ‘f1’

也可以修改table-scope属性，例如MAX_FILESIZE, READONLY,
MEMSTORE_FLUSHSIZE, DEFERRED_LOG_FLUSH等。
例如，修改region的最大大小为128MB：

hbase> alter ‘t1’, MAX_FILESIZE => ‘134217728’

也可以设置表的coprocessor属性：

hbase> alter ‘t1’,
‘coprocessor’=>’hdfs:///foo.jar|com.foo.FooRegionObserver|1001|arg1=1,arg2=2’

可以设置复数个coprocessor，这时会自动添加序列以唯一标示coprocessor。

coprocessor属性设置语法：
[coprocessor jar file location] | class name | [priority] | [arguments]

也可以设置configuration给表或列族：

hbase> alter ‘t1’, CONFIGURATION => {‘hbase.hregion.scan.loadColumnFamiliesOnDemand’ => ‘true’}
hbase> alter ‘t1’, {NAME => ‘f2’, CONFIGURATION => {‘hbase.hstore.blockingStoreFiles’ => ’10’}}

也可以移除table-scope属性：

hbase> alter ‘t1’, METHOD => ‘table_att_unset’, NAME => ‘MAX_FILESIZE’

hbase> alter ‘t1’, METHOD => ‘table_att_unset’, NAME => ‘coprocessor$1’

可以通过一个命令进行多项修改：

hbase> alter ‘t1’, { NAME => ‘f1’, VERSIONS => 3 },
{ MAX_FILESIZE => ‘134217728’ }, { METHOD => ‘delete’, NAME => ‘f2’ },
OWNER => ‘johndoe’, METADATA => { ‘mykey’ => ‘myvalue’ }

Java实现：

/**
 * 修改表结构,增加列族
 *
 * @param tableName 表名
 * @param family    列族
 *
 * @throws IOException
 */
public static void putFamily(String tableName, String family) throws IOException {
    try (Connection connection = ConnectionFactory.createConnection(configuration);
         Admin admin = connection.getAdmin()
    ) {
        TableName tblName = TableName.valueOf(tableName);
        if (admin.tableExists(tblName)) {
            admin.disableTable(tblName);
            HColumnDescriptor cf = new HColumnDescriptor(family);
            admin.addColumn(TableName.valueOf(tableName), cf);
            admin.enableTable(tblName);
        } else {
            log.warn(tableName + " not exist.");
        }
    }
}

# 调用示例
putFamily("blog", "note");

　　

2. create

创建表。

Shell：

语法：
create 'table', { NAME => 'family', VERSIONS => VERSIONS } [, { NAME => 'family', VERSIONS => VERSIONS }]

示例：

hbase> create ‘t1’, {NAME => ‘f1’, VERSIONS => 5}
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’}}

Java示例：

/** * 创建表 * * @param tableName 表名 * @param familyNames 列族 * * @throws IOException */ public static void createTable(String tableName, String[] familyNames) throws IOException { try (Connection connection = ConnectionFactory.createConnection(configuration); Admin admin = connection.getAdmin() ) { TableName table = TableName.valueOf(tableName); if (admin.tableExists(table)) { log.info(tableName + " already exists"); } else { HTableDescriptor hTableDescriptor = new HTableDescriptor(table); for (String family : familyNames) { hTableDescriptor.addFamily(new HColumnDescriptor(family)); } admin.createTable(hTableDescriptor); } } } # 调用例 createTable("blog", new String[]{"author", "contents"});

 

3. describe

查询表结构

hbase> describe ‘t1’

 

 

4. disable

无效化指定表

hbase> disable ‘t1’

 

 

5. disable_all

无效化（正则）匹配的表

hbase> disable_all ‘t.*’

 

6. is_disabled

验证指定的表是否是无效的

hbase> is_disabled ‘t1’

1

 

7. drop

删除表。表必须是无效的。

Shell：

hbase> drop ‘t1’

Java实现：

/** * 删除表 * * @param tableName 表名 * * @throws IOException */ public static void dropTable(String tableName) throws IOException { try (Connection connection = ConnectionFactory.createConnection(configuration); Admin admin = connection.getAdmin() ) { TableName table = TableName.valueOf(tableName); if (admin.tableExists(table)) { admin.disableTable(table); admin.deleteTable(table); } } } #调用例 dropTable("blog");

 

8. drop_all

删除所有正则匹配的表。

hbase> drop_all ‘t.*’

9. enable

使指定表有效化。

hbase> enable ‘t1’

10. enable_all

使正则匹配的所有表有效。

hbase> enable_all ‘t.*’

11. is_enabled

验证指定表是否有效

hbase> is_enabled ‘t1’

12. exists

指定表是否存在。

hbase> exists ‘t1’

13. list

列出HBase中所有表，可以通过正则过滤。

hbase> list hbase> list ‘abc.*’

14. show_filters

显示所有过滤器。

hbase> show_filters hbase(main):066:0> show_filters DependentColumnFilter KeyOnlyFilter ColumnCountGetFilter SingleColumnValueFilter PrefixFilter SingleColumnValueExcludeFilter FirstKeyOnlyFilter ColumnRangeFilter TimestampsFilter FamilyFilter QualifierFilter ColumnPrefixFilter RowFilter MultipleColumnPrefixFilter InclusiveStopFilter PageFilter ValueFilter ColumnPaginationFilter 

 

15. alter_status

获取alter执行的状态。 
语法：alter_status ‘tableName’

hbase> alter_status ‘t1’

16. alter_async

异步执行alter，通过alter_status获取执行状态。

数据操作

1. count

统计表的行数。

Shell：

该操作执行的时间可能会比较长 (运行mapreduce执行统计 '$HADOOP_HOME/bin/hadoop jar hbase.jar rowcount'). 
默认每1000行（可以指定步数）显示当前总行数。Scan
caching默认开启，默认大小为10，也可以设置：

hbase> count ‘t1’
hbase> count ‘t1’, INTERVAL => 100000
hbase> count ‘t1’, CACHE => 1000
hbase> count ‘t1’, INTERVAL => 10, CACHE => 1000

也可以通过表的引用执行：

hbase> t.count
hbase> t.count INTERVAL => 100000
hbase> t.count CACHE => 1000
hbase> t.count INTERVAL => 10, CACHE => 1000

Java实现：

/** * 统计行数 * * @param tableName 表名 * * @return 行数 * * @throws IOException */ public static long count(String tableName) throws IOException { final long[] rowCount = {0}; try (Connection connection = ConnectionFactory.createConnection(configuration); Table table = connection.getTable(TableName.valueOf(tableName)) ) { Scan scan = new Scan(); scan.setFilter(new FirstKeyOnlyFilter()); ResultScanner resultScanner = table.getScanner(scan); resultScanner.forEach(result -> { rowCount[0] += result.size(); }); } System.out.println("行数: " + rowCount[0]); return rowCount[0]; } #调用示例 count("blog");

 

2. delete

删除指定数据。

Shell：

语法：delete 'table', 'rowkey',  'family:column' [, 'timestamp']
删除t1表的r1行、c1列并且时间戳为ts1的数据：

hbase> delete ‘t1’, ‘r1’, ‘c1’, ts1

也可以通过表引用调用该命令：

hbase> t.delete ‘r1’, ‘c1’, ts1

Java实现：

/** * 删除指定数据 * <p> * columns为空, 删除指定列族的全部数据; * family为空时, 删除指定行键的全部数据; * </p> * * @param tableName 表名 * @param rowKey 行键 * @param family 列族 * @param columns 列集合 * * @throws IOException */ public static void deleteData(String tableName, String rowKey, String family, String[] columns) throws IOException { try (Connection connection = ConnectionFactory.createConnection(configuration); Table table = connection.getTable(TableName.valueOf(tableName)) ) { Delete delete = new Delete(Bytes.toBytes(rowKey)); if (null != family && !"".equals(family)) { if (null != columns && columns.length > 0) { // 删除指定列 for (String column : columns) { delete.addColumn(Bytes.toBytes(family), Bytes.toBytes(column)); } } else { // 删除指定列族 delete.addFamily(Bytes.toBytes(family)); } } else { // 删除指定行 // empty, nothing to do } table.delete(delete); } } # 调用示例 deleteData("blog", "rk12", "author", new String[] { "name", "school" }); deleteData("blog", "rk11", "author", new String[] { "name" }); deleteData("blog", "rk10", "author", null); deleteData("blog", "rk9", null, null);

 

3. deleteall

删除行。

语法：deleteall 'tableName', 'rowkey' [, 'column', 'timestamp']

hbase> deleteall ‘t1’, ‘r1’
hbase> deleteall ‘t1’, ‘r1’, ‘c1’
hbase> deleteall ‘t1’, ‘r1’, ‘c1’, ts1

也可以通过表引用调用该命令：

hbase> t.deleteall ‘r1’
hbase> t.deleteall ‘r1’, ‘c1’
hbase> t.deleteall ‘r1’, ‘c1’, ts1

4. get

获取某行数据。

Shell：

语法：
get 'tableName', 'rowkey',[,....]
选项包括：列集合、时间戳、时间范围或版本
示例：

hbase> get ‘t1’, ‘r1’
hbase> get ‘t1’, ‘r1’, {TIMERANGE => [ts1, ts2]}
hbase> get 'blog', 'rk1', 'author:name'
hbase>get 'blog', 'rk1', { COLUMN => 'author:name' }
hbase> get ‘t1’, ‘r1’, {COLUMN => ‘c1’, TIMESTAMP => ts1}
hbase> get ‘t1’, ‘r1’, {COLUMN => ‘c1’, TIMERANGE => [ts1, ts2], VERSIONS => 4}
hbase> get ‘t1’, ‘r1’, {COLUMN => ‘c1’, TIMESTAMP => ts1, VERSIONS => 4}
hbase> get ‘t1’, ‘r1’, {FILTER => “ValueFilter(=, ‘binary:abc’)”}
hbase> get ‘t1’, ‘r1’, ‘c1’
hbase> get ‘t1’, ‘r1’, ‘c1’, ‘c2’
hbase> get ‘t1’, ‘r1’, [‘c1’, ‘c2’]

也可以在列上指定FORMATTER，默认toStringBinary。
可以使用org.apache.hadoop.hbase.util.Bytes中预定义的方法 (例如：toInt, toString) ；
也可以自定义方法：'c(MyFormatterClass).format'。
例如 cf:qualifier1 and cf:qualifier2：

hbase> get ‘t1’, ‘r1’ {COLUMN => [‘cf:qualifier1:toInt’,
‘cf:qualifier2:c(org.apache.hadoop.hbase.util.Bytes).toInt’] }

注：只能在列上指定FORMATTER，不能针对列族的所有列。

表的引用（通过get_table or
create_table获得引用）也可以使用get命令，例如
t是表t1的引用（t = get_table 't1'），则：

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’]

Java实现：

/** * 获取指定数据 * <p> * column为空, 检索指定列族的全部数据; * family为空时, 检索指定行键的全部数据; * </p> * * @param tableName 表名 * @param rowKey 行键 * @param family 列族 * @param columns 列名集合 * * @throws IOException */ public static void getData(String tableName, String rowKey, String family, String[] columns) throws IOException { try (Connection connection = ConnectionFactory.createConnection(configuration); Table table = connection.getTable(TableName.valueOf(tableName)) ) { Get get = new Get(Bytes.toBytes(rowKey)); Result result = table.get(get); if (null != family && !"".equals(family)) { if (null != columns && columns.length > 0) { // 表里指定列族的列值 for (String column : columns) { byte[] rb = result.getValue(Bytes.toBytes(family), Bytes.toBytes(column)); System.out.println(Bytes.toString(rb)); } } else { // 指定列族的所有值 Map<byte[], byte[]> columnMap = result.getFamilyMap(Bytes.toBytes(family)); for (Map.Entry<byte[], byte[]> entry : columnMap.entrySet()) { System.out.println(Bytes.toString(entry.getKey()) + " " + Bytes.toString(entry.getValue())); } } } else { // 指定行键的所有值 Cell[] cells = result.rawCells(); for (Cell cell : cells) { System.out.println("family => " + Bytes.toString(cell.getFamilyArray(), cell.getFamilyOffset(), cell.getFamilyLength()) + "\n" + "qualifier => " + Bytes.toString(cell.getQualifierArray(), cell.getQualifierOffset(), cell.getQualifierLength()) + "\n" + "value => " + Bytes.toString(cell.getValueArray(), cell.getValueOffset(), cell.getValueLength())); } } } } # 调用示例 getData("blog", "rk1", null, null); getData("blog", "rk1", "author", null); getData("blog", "rk1", "author", new String[] { "name", "school" });

 

5. get_counter

获取计数器的值。

语法：get_counter 'tableName', 'row', 'column'
示例：

hbase> get_counter ‘t1’, ‘r1’, ‘c1’

同样，也可以在表引用上使用：

hbase> t.get_counter ‘r1’, ‘c1’

6. incr

计数器

Shell：

语法：incr 'tableName', 'row', 'column', value
例如：表t1的r1行c1列增加1（可省略），或10：

hbase> incr ‘t1’, ‘r1’, ‘c1’
hbase> incr ‘t1’, ‘r1’, ‘c1’, 1
hbase> incr ‘t1’, ‘r1’, ‘c1’, 10

同样，也可以在表引用上使用

hbase> t.incr ‘r1’, ‘c1’
hbase> t.incr ‘r1’, ‘c1’, 1
hbase> t.incr ‘r1’, ‘c1’, 10

Java实现：

/** * 计数器自增 * * @param tableName 表名 * @param rowKey 行键 * @param family 列族 * @param column 列 * @param value 增量 * * @throws IOException */ public static void incr(String tableName, String rowKey, String family, String column, long value) throws IOException { try (Connection connection = ConnectionFactory.createConnection(configuration); Table table = connection.getTable(TableName.valueOf(tableName)) ) { long count = table.incrementColumnValue(Bytes.toBytes(rowKey), Bytes.toBytes(family), Bytes.toBytes(column), value); System.out.println("增量后的值: " + count); } } #调用示例 incr("scores", "lisi", "courses", "eng", 2);

 

7. put

插入数据。

Shell：

语法：put 'table','rowkey','family:column','value'[,'timestamp']
例如：插入表t1，行r1，列c1，时间戳ts1

hbase> put ‘t1’, ‘r1’, ‘c1’, ‘value’, ts1


同样，也可以在表引用上使用

hbase> t.put ‘r1’, ‘c1’, ‘value’, ts1

Java实现：

/** * 插入数据 * * @param tableName 表名 * @param rowKey 行键 * @param familys 列族信息(Key: 列族; value: (列名, 列值)) */ public static void putData(String tableName, String rowKey, Map<String, Map<String, String>> familys) throws IOException { try (Connection connection = ConnectionFactory.createConnection(configuration); Table table = connection.getTable(TableName.valueOf(tableName)) ) { Put put = new Put(Bytes.toBytes(rowKey)); for (Map.Entry<String, Map<String, String>> family : familys.entrySet()) { for (Map.Entry<String, String> column : family.getValue().entrySet()) { put.addColumn(Bytes.toBytes(family.getKey()), Bytes.toBytes(column.getKey()), Bytes.toBytes(column.getValue())); } } table.put(put); } } # 调用例 // 行键1 Map<String, Map<String, String>> map1 = new HashMap<>(); // 列族author的列值 Map<String, String> author1 = new HashMap<>(); author1.put("name", "张三"); author1.put("school", "MIT"); map1.put("author", author1); // 列族contents的列值 Map<String, String> contents1 = new HashMap<>(); contents1.put("content", "吃饭了吗?"); map1.put("contents", contents1); putData("blog", "rk1", map1);

 

8. scan

扫描全表。

语法：scan 'table' [, {COLUMNS => [ 'family:column', .... , LIMIT => num} ]
可以使用以下限定词：
TIMERANGE, FILTER, LIMIT, STARTROW, STOPROW, TIMESTAMP, MAXLENGTH,
, COLUMNS, CACHE。
如果没有限定词，则扫描全表。
列族的列指定为空时，扫描列族中全部数据（'col_family:'）。
指定过滤条件有两种方式:
1. 使用过滤字符串 – 详细见[HBASE-4176 JIRA](https://issues.apache.org/jira/browse/HBASE-4176)
2. 使用过滤器的整个包名称。

示例如下：

hbase> scan ‘.META.’
hbase> scan ‘.META.’, {COLUMNS => ‘info:regioninfo’}
hbase> scan ‘t1’, {COLUMNS => [‘c1’, ‘c2’], LIMIT => 10, STARTROW => ‘xyz’}
hbase> scan ‘t1’, {COLUMNS => ‘c1’, TIMERANGE => [1303668804, 1303668904]}
hbase> scan ‘t1’, {FILTER => “(PrefixFilter (‘row2’) AND
(QualifierFilter (>=, ‘binary:xyz’))) AND (TimestampsFilter ( 123, 456))”}
hbase> scan ‘t1’, {FILTER =>
org.apache.hadoop.hbase.filter.ColumnPaginationFilter.new(1, 0)}

CACHE_BLOCKS：切换block caching，默认可用。
示例：

hbase> scan ‘t1’, {COLUMNS => [‘c1’, ‘c2’], CACHE_BLOCKS => false}


RAW：扫描返回所有数据 (包括delete markers和uncollected deleted)。
该选项不能和指定COLUMNS共用。默认disable。
示例：

hbase> scan ‘t1’, {RAW => true, VERSIONS => 10}

默认使用toStringBinary格式化，scan支持对列的自定义格式化。
FORMATTER约定：

1. 使用org.apache.hadoop.hbase.util.Bytes的方法(例如toInt, toString)；
2. 使用自定义类的方法例如'c(MyFormatterClass).format'。

例如 cf:qualifier1 和 cf:qualifier2：
hbase> scan ‘t1’, {COLUMNS => [‘cf:qualifier1:toInt’,
‘cf:qualifier2:c(org.apache.hadoop.hbase.util.Bytes).toInt’] }

注：只能指定列的FORMATTER，不能指定列族中所有列的FORMATTER。

可以使用表的引用调用该方法：

hbase> t = get_table ‘t’
hbase> t.scan

Java实现：

/** * 全表扫描 * * @param tableName 表名 * * @throws IOException */ public static void scan(String tableName) throws IOException { try (Connection connection = ConnectionFactory.createConnection(configuration); Table table = connection.getTable(TableName.valueOf(tableName)) ) { Scan scan = new Scan(); ResultScanner resultScanner = table.getScanner(scan); for (Result result : resultScanner) { List<Cell> cells = result.listCells(); for (Cell cell : cells) { System.out.println("row => " + Bytes.toString(CellUtil.cloneRow(cell)) + "\n" + "family => " + Bytes.toString(CellUtil.cloneFamily(cell)) + "\n" + "qualifier => " + Bytes.toString(CellUtil.cloneQualifier(cell)) + "\n" + "value => " + Bytes.toString(CellUtil.cloneValue(cell))); } } } } # 调用示例 scan("blog");

 

9. truncate

无效、删除并重新创建表。

Shell：

hbase>truncate ‘t1’

Java示例：

工具

命令	说明
assign	分配region，如果region已经被分配，将强制重新分配。 hbase> assign ‘REGION_NAME’
balancer	触发集群均衡器。 hbase> balancer
balance_switch	切换均衡器。 hbase> balance_switch true hbase> balance_switch false
close_region	关闭region。 hbase>close_region 'REGIONNAME', 'SERVER_NAME'
compact	Compact all regions in a table: hbase> compact ‘t1’ Compact an entire region: hbase> compact ‘r1’ Compact only a column family within a region: hbase> compact ‘r1’, ‘c1’ Compact a column family within a table: hbase> compact ‘t1’, ‘c1’
flush	Flush all regions in passed table or pass a region row to flush an individual region.  For example: hbase> flush ‘TABLENAME’ hbase> flush ‘REGIONNAME’
major_compact	Compact all regions in a table: hbase> major_compact ‘t1’ Compact an entire region: hbase> major_compact ‘r1’ Compact a single column family within a region: hbase> major_compact ‘r1’, ‘c1’ Compact a single column family within a table: hbase> major_compact ‘t1’, ‘c1’
move	随机移动到某region server hbase> move ‘ENCODED_REGIONNAME’ 移动region到指定的server hbase>move 'ENCODED_REGIONNAME', 'SERVER_NAME'
split	Split entire table or pass a region to split individual region. With the second parameter, you can specify an explicit split key for the region. Examples: split ‘tableName’ split ‘regionName’ # format: ‘tableName,startKey,id’ split ‘tableName’, ‘splitKey’ split ‘regionName’, ‘splitKey’
unassign	Unassign a region. Unassign will close region in current location and then reopen it again. Pass ‘true’ to force the unassignment (‘force’ will clear all in-memory state in master before the reassign. If results in double assignment use hbck -fix to resolve. To be used by experts). Use with caution. For expert use only. Examples: hbase> unassign ‘REGIONNAME’ hbase> unassign ‘REGIONNAME’, true
hlog_roll	Roll the log writer. That is, start writing log messages to a new file. The name of the regionserver should be given as the parameter. A ‘server_name’ is the host, port plus startcode of a regionserver. For example: host187.example.com,60020,1289493121758 (find servername in master ui or when you do detailed status in shell) hbase>hlog_roll
zk_dump	Dump status of HBase cluster as seen by ZooKeeper. Example: hbase>zk_dump

集群复制

命令	说明
add_peer	Add a peer cluster to replicate to, the id must be a short and the cluster key is composed like this: hbase.zookeeper.quorum:hbase.zookeeper.property.clientPort:zookeeper.znode.parent This gives a full path for HBase to connect to another cluster.Examples: hbase>add_peer ‘1’, “server1.cie.com:2181:/hbase” hbase>add_peer ‘2’, “zk1,zk2,zk3:2182:/hbase-prod”
remove_peer	Stops the specified replication stream and deletes all the meta information kept about it. Examples: hbase> remove_peer ‘1’
list_peers	List all replication peer clusters. hbase> list_peers
enable_peer	Restarts the replication to the specified peer cluster, continuing from where it was disabled. Examples: hbase> enable_peer ‘1’
disable_peer	Stops the replication stream to the specified cluster, but still keeps track of new edits to replicate.Examples:  hbase> disable_peer ‘1’
start_replication	Restarts all the replication features. The state in which each stream starts in is undetermined.  WARNING: start/stop replication is only meant to be used in critical load situations. Examples: hbase> start_replication
stop_replication	Stops all the replication features. The state in which each stream stops in is undetermined.  WARNING: start/stop replication is only meant to be used in critical load situations. Examples:  hbase> stop_replication

权限控制

命令	说明
grant	授予用户指定权限.  语法：集合’RWXCA’中任意个字符。 READ(‘R’) WRITE(‘W’) EXEC(‘X’) CREATE(‘C’) ADMIN(‘A’) 例如： hbase> grant ‘bobsmith’, ‘RWXCA’ hbase> grant ‘bobsmith’, ‘RW’, ‘t1’, ‘f1’, ‘col1’
revoke	移除用户权限。 语法：revoke hbase> revoke ‘bobsmith’, ‘t1’, ‘f1’, ‘col1’
user_permission	显示用户权限。 语法：user_permission ‘table’ hbase> user_permission ‘table1’

参考

1. HBase shell scan 模糊查询

2. HBase 5种写入数据方式

3. HBase 常用Shell命令

4. hbase 1.1.4增删查改demo

5. java 获取 hbase数据 springdatahadoop – hbasetemplate

6. HBase shell commands

7. HBase Maven Dependency

8. HBase内置过滤器的一些总结

9. HBase（0.96以上版本）过滤器Filter详解及实例代码

10. HBase java 统计表行数

11. HBase之计数器