HBase操作（Shell与Java API）

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5hbase> 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’

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> listhbase> list ‘abc.*’

14. show_filters

显示所有过滤器。

hbase> show_filtershbase(main):066:0> show_filtersDependentColumnFilter                                                           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。Scancaching默认开启，默认大小为10，也可以设置：hbase> count ‘t1’hbase> count ‘t1’, INTERVAL => 100000hbase> count ‘t1’, CACHE => 1000hbase> count ‘t1’, INTERVAL => 10, CACHE => 1000也可以通过表的引用执行：hbase> t.counthbase> t.count INTERVAL => 100000hbase> t.count CACHE => 1000hbase> 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 orcreate_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’, 1hbase> 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’, 1hbase> 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ts1hbase> 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1Map<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