熟练掌握通过使用java代码实现HBase数据库当中的数据增删改查的操作，特别是各种查询，熟练运用

第一步：创建maven工程，导入jar包

<repositories>
 <repository>
 <id>cloudera</id>
 <url>https://repository.cloudera.com/artifactory/cloudera-repos/</url>
 </repository>
</repositories>
<dependencies>
 <dependency>
 <groupId>org.apache.hadoop</groupId>
 <artifactId>hadoop-client</artifactId>
 <version>2.6.0-mr1-cdh5.14.0</version>
 </dependency>
 <dependency>
 <groupId>org.apache.hbase</groupId>
 <artifactId>hbase-client</artifactId>
 <version>1.2.0-cdh5.14.0</version>
 </dependency>
 <dependency>
 <groupId>org.apache.hbase</groupId>
 <artifactId>hbase-server</artifactId>
 <version>1.2.0-cdh5.14.0</version>
 </dependency>
 <dependency>
 <groupId>junit</groupId>
 <artifactId>junit</artifactId>
 <version>4.12</version>
 <scope>test</scope>
 </dependency>
 <dependency>
 <groupId>org.testng</groupId>
 <artifactId>testng</artifactId>
 <version>6.14.3</version>
 <scope>test</scope>

</dependency>
 <dependency>
 <groupId>org.junit.jupiter</groupId>
 <artifactId>junit-jupiter-api</artifactId>
 <version>RELEASE</version>
 <scope>compile</scope>
 </dependency>
</dependencies>
<build>
 <plugins>
 <plugin>
 <groupId>org.apache.maven.plugins</groupId>
 <artifactId>maven-compiler-plugin</artifactId>
 <version>3.0</version>
 <configuration>
 <source>1.8</source>
 <target>1.8</target>
 <encoding>UTF-8</encoding>
 <!-- <verbal>true</verbal>-->
 </configuration>
 </plugin>
 <plugin>
 <groupId>org.apache.maven.plugins</groupId>
 <artifactId>maven-shade-plugin</artifactId>
 <version>2.2</version>
 <executions>
 <execution>
 <phase>package</phase>
 <goals>
 <goal>shade</goal>
 </goals>
 <configuration>
 <filters>
 <filter>
 <artifact>*:*</artifact>
 <excludes>
 <exclude>META-INF/*.SF</exclude>
 <exclude>META-INF/*.DSA</exclude>
 <exclude>META-INF/*/RSA</exclude>
 </excludes>
 </filter>
 </filters>
 </configuration>
 </execution>
 </executions>
 </plugin>
 </plugins>
</build>

第二步：开发javaAPI操作HBase表数据
1、创建表myuser

public static void createTable() throws IOException {
Configuration conf =new Configuration();
//连接hbase集群不需要指定hbase主节点的ip地址和端口号
conf.set("hbase.zookeeper.quorum","node01:2181,node02:2181,node03:2181");
//创建连接 Connection connection = ConnectionFactory.createConnection(conf);
//获取连接对象，创建一张表
//获取管理员对象，来对数据库进行DDL的操作
Admin admin = connection.getAdmin();
//指定我们的表名
TableName myuser = TableName.valueOf("myuser");
HTableDescriptor hTableDescriptor = new HTableDescriptor(myuser);
//指定两个列族
HColumnDescriptor f1 = new HColumnDescriptor("f1");
HColumnDescriptor f2 = new HColumnDescriptor("f2");
hTableDescriptor.addFamily(f1);
hTableDescriptor.addFamily(f2);

admin.createTable(hTableDescriptor);
admin.close();
connection.close();

}

2、向表中添加数据

/**
* 插入数据
*/
public void addDatas() throws IOException {
//获取连接
Configuration conf =new Configuration();

conf.set("hbase.zookeeper.quorum", "node01:2181,node02:2181");
Connection connection = ConnectionFactory.createConnection(conf);
//获取表
Table myuser = connection.getTable(TableName.valueOf("myuser"));
//创建put对象，并指定rowkey
Put put = new Put("0001".getBytes());
put.addColumn("f1".getBytes(),"id".getBytes(), Bytes.toBytes(1));
put.addColumn("f1".getBytes(),"name".getBytes(), Bytes.toBytes("张三"));
put.addColumn("f1".getBytes(),"age".getBytes(), Bytes.toBytes(18));

put.addColumn("f2".getBytes(),"address".getBytes(), Bytes.toBytes("地球人"));
put.addColumn("f2".getBytes(),"phone".getBytes(), Bytes.toBytes("158741025aa"));
//插入数据
myuser.put(put);
//关闭表
myuser.close();

}

3、查询数据
初始化一批数据到HBase当中用于查询

public void insertBatchData() throws IOException {

//获取连接
Configuration conf =new Configuration();
conf.set("hbase.zookeeper.quorum", "node01:2181,node02:2181");
Connection connection = ConnectionFactory.createConnection(conf);
//获取表
Table myuser = connection.getTable(TableName.valueOf("myuser"));
//创建put对象，并指定rowkey
Put put = new Put("0002".getBytes());
put.addColumn("f1".getBytes(),"id".getBytes(),Bytes.toBytes(1));
put.addColumn("f1".getBytes(),"name".getBytes(),Bytes.toBytes("曹操"));
put.addColumn("f1".getBytes(),"age".getBytes(),Bytes.toBytes(30));
put.addColumn("f2".getBytes(),"sex".getBytes(),Bytes.toBytes("1"));
put.addColumn("f2".getBytes(),"address".getBytes(),Bytes.toBytes("沛国谯县"));
put.addColumn("f2".getBytes(),"phone".getBytes(),Bytes.toBytes("16888888888"));
put.addColumn("f2".getBytes(),"say".getBytes(),Bytes.toBytes("helloworld"));

Put put2 = new Put("0003".getBytes());
put2.addColumn("f1".getBytes(),"id".getBytes(),Bytes.toBytes(2));
put2.addColumn("f1".getBytes(),"name".getBytes(),Bytes.toBytes("刘备"));
put2.addColumn("f1".getBytes(),"age".getBytes(),Bytes.toBytes(32));
put2.addColumn("f2".getBytes(),"sex".getBytes(),Bytes.toBytes("1"));
put2.addColumn("f2".getBytes(),"address".getBytes(),Bytes.toBytes("幽州涿郡涿县"));
put2.addColumn("f2".getBytes(),"phone".getBytes(),Bytes.toBytes("17888888888"));
put2.addColumn("f2".getBytes(),"say".getBytes(),Bytes.toBytes("talk is cheap , show me the code"));

Put put3 = new Put("0004".getBytes());
put3.addColumn("f1".getBytes(),"id".getBytes(),Bytes.toBytes(3));
put3.addColumn("f1".getBytes(),"name".getBytes(),Bytes.toBytes("孙权"));
put3.addColumn("f1".getBytes(),"age".getBytes(),Bytes.toBytes(35));
put3.addColumn("f2".getBytes(),"sex".getBytes(),Bytes.toBytes("1"));
put3.addColumn("f2".getBytes(),"address".getBytes(),Bytes.toBytes("下邳"));
put3.addColumn("f2".getBytes(),"phone".getBytes(),Bytes.toBytes("12888888888"));
put3.addColumn("f2".getBytes(),"say".getBytes(),Bytes.toBytes("what are you 弄啥嘞！"));

Put put4 = new Put("0005".getBytes());
put4.addColumn("f1".getBytes(),"id".getBytes(),Bytes.toBytes(4));
put4.addColumn("f1".getBytes(),"name".getBytes(),Bytes.toBytes("诸葛亮"));
put4.addColumn("f1".getBytes(),"age".getBytes(),Bytes.toBytes(28));
put4.addColumn("f2".getBytes(),"sex".getBytes(),Bytes.toBytes("1"));
put4.addColumn("f2".getBytes(),"address".getBytes(),Bytes.toBytes("四川隆中"));
put4.addColumn("f2".getBytes(),"phone".getBytes(),Bytes.toBytes("14888888888"));
put4.addColumn("f2".getBytes(),"say".getBytes(),Bytes.toBytes("出师表你背了嘛"));

Put put5 = new Put("0005".getBytes());
put5.addColumn("f1".getBytes(),"id".getBytes(),Bytes.toBytes(5));
put5.addColumn("f1".getBytes(),"name".getBytes(),Bytes.toBytes("司马懿"));
put5.addColumn("f1".getBytes(),"age".getBytes(),Bytes.toBytes(27));
put5.addColumn("f2".getBytes(),"sex".getBytes(),Bytes.toBytes("1"));
put5.addColumn("f2".getBytes(),"address".getBytes(),Bytes.toBytes("哪里人有待考究"));
put5.addColumn("f2".getBytes(),"phone".getBytes(),Bytes.toBytes("15888888888"));
put5.addColumn("f2".getBytes(),"say".getBytes(),Bytes.toBytes("跟诸葛亮死掐"));

Put put6 = new Put("0006".getBytes());
put6.addColumn("f1".getBytes(),"id".getBytes(),Bytes.toBytes(5));
put6.addColumn("f1".getBytes(),"name".getBytes(),Bytes.toBytes("xiaobubu—吕布"));
put6.addColumn("f1".getBytes(),"age".getBytes(),Bytes.toBytes(28));
put6.addColumn("f2".getBytes(),"sex".getBytes(),Bytes.toBytes("1"));
put6.addColumn("f2".getBytes(),"address".getBytes(),Bytes.toBytes("内蒙人"));
put6.addColumn("f2".getBytes(),"phone".getBytes(),Bytes.toBytes("15788888888"));
put6.addColumn("f2".getBytes(),"say".getBytes(),Bytes.toBytes("貂蝉去哪了"));

List listPut = new ArrayList();
listPut.add(put);
listPut.add(put2);
listPut.add(put3);
listPut.add(put4);
listPut.add(put5);
listPut.add(put6);

myuser.put(listPut);
myuser.close();
}

按照rowkey进行查询获取所有列的所有值
查询主键rowkey为0003的人

/**
* 查询数据，按照主键id进行查询
*/

public void searchData() throws IOException {
Configuration conf =new Configuration();
conf.set("hbase.zookeeper.quorum","node01:2181,node02:2181,node03:2181");
Connection connection = ConnectionFactory.createConnection(conf);
Table myuser = connection.getTable(TableName.valueOf("myuser"));

Get get = new Get(Bytes.toBytes("0003"));
Result result = myuser.get(get);
Cell[] cells = result.rawCells();
//获取所有的列名称以及列的值
for (Cell cell : cells) {
//注意，如果列属性是int类型，那么这里就不会显示

if (Bytes.toString(CellUtil.cloneQualifier(cell)).equals("id" )|| Bytes.toString(CellUtil.cloneQualifier(cell)).equals("age")){
System.out.println(Bytes.toString(CellUtil.cloneFamily(cell)));
System.out.println(Bytes.toString(CellUtil.cloneQualifier(cell)));
System.out.println(Bytes.toString(CellUtil.cloneRow(cell)));
System.out.println(Bytes.toInt(CellUtil.cloneValue(cell)));
}else {
System.out.println(Bytes.toString(CellUtil.cloneFamily(cell)));
System.out.println(Bytes.toString(CellUtil.cloneQualifier(cell)));
System.out.println(Bytes.toString(CellUtil.cloneRow(cell)));
System.out.println(Bytes.toString(CellUtil.cloneValue(cell)));
}
}

myuser.close();
}

按照rowkey查询指定列族下面的指定列的值

public static void searchdata2() throws IOException{
Configuration conf=new Configuration();
conf.set("hbase.zookeeper.quorum","node01:2181,node02:2181,node03:2181");
Connection connection = ConnectionFactory.createConnection(conf);

Table myuser = connection.getTable(TableName.valueOf("myuser"));

Get get=new Get("0003".getBytes());
// get.addFamily("f1".getBytes());

get.addColumn("f1".getBytes(),"name".getBytes());
Result result = myuser.get(get);
Cell[] cells = result.rawCells();
for (Cell cell : cells) {
if (Bytes.toString(CellUtil.cloneQualifier(cell)).equals("id" )|| Bytes.toString(CellUtil.cloneQualifier(cell)).equals("age")){
System.out.println(Bytes.toString(CellUtil.cloneFamily(cell)));
System.out.println(Bytes.toString(CellUtil.cloneQualifier(cell)));
System.out.println(Bytes.toString(CellUtil.cloneRow(cell)));
System.out.println(Bytes.toInt(CellUtil.cloneValue(cell)));
}else {
System.out.println(Bytes.toString(CellUtil.cloneFamily(cell)));
System.out.println(Bytes.toString(CellUtil.cloneQualifier(cell)));
System.out.println(Bytes.toString(CellUtil.cloneRow(cell)));
System.out.println(Bytes.toString(CellUtil.cloneValue(cell)));
}
}
}

通过startRowKey和endRowKey进行扫描

/**
* 通过startRowKey和endRowKey进行扫描查询
*/
public static void scanrowkey() throws IOException{
Configuration conf=new Configuration();
conf.set("hbase.zookeeper.quorum","node01:2181,node02:2181,node03:2181");
Connection connection = ConnectionFactory.createConnection(conf);

Table myuser = connection.getTable(TableName.valueOf("myuser"));

Scan scan =new Scan();
scan.setStartRow("0002".getBytes());
scan.setStopRow("0006".getBytes());

ResultScanner scanner = myuser.getScanner(scan);
for (Result result : scanner) {
System.out.println("rowkey "+Bytes.toString(result.getRow()));
/*
System.out.println(Bytes.toInt(result.getValue("f1".getBytes(),"id".getBytes())));
System.out.println(Bytes.toString(result.getValue("f1".getBytes(),"name".getBytes())));
System.out.println(Bytes.toInt(result.getValue("f1".getBytes(),"age".getBytes())));
*/

Cell[] cells = result.rawCells();
for (Cell cell : cells) {
if (Bytes.toString(CellUtil.cloneQualifier(cell)).equals("id" )|| Bytes.toString(CellUtil.cloneQualifier(cell)).equals("age")){
System.out.println(Bytes.toString(CellUtil.cloneFamily(cell)));
System.out.println(Bytes.toString(CellUtil.cloneQualifier(cell)));
System.out.println(Bytes.toString(CellUtil.cloneRow(cell)));
System.out.println(Bytes.toInt(CellUtil.cloneValue(cell)));
}else {
System.out.println(Bytes.toString(CellUtil.cloneFamily(cell)));
System.out.println(Bytes.toString(CellUtil.cloneQualifier(cell)));
System.out.println(Bytes.toString(CellUtil.cloneRow(cell)));
System.out.println(Bytes.toString(CellUtil.cloneValue(cell)));
}
}

}

}

通过scan进行全表扫描

/**
* 全表扫描
*/
public static void scanrow() throws IOException{
Configuration conf=new Configuration();
conf.set("hbase.zookeeper.quorum","node01:2181,node02:2181,node03:2181");
Connection connection = ConnectionFactory.createConnection(conf);

Table myuser = connection.getTable(TableName.valueOf("myuser"));

Scan scan =new Scan();

ResultScanner scanner = myuser.getScanner(scan);
for (Result result : scanner) {
System.out.println("rowkey "+Bytes.toString(result.getRow()));
System.out.println(Bytes.toInt(result.getValue("f1".getBytes(),"id".getBytes())));
System.out.println(Bytes.toString(result.getValue("f1".getBytes(),"name".getBytes())));
System.out.println(Bytes.toInt(result.getValue("f1".getBytes(),"age".getBytes())));

/* Cell[] cells = result.rawCells();
for (Cell cell : cells) {
if (Bytes.toString(CellUtil.cloneQualifier(cell)).equals("id" )|| Bytes.toString(CellUtil.cloneQualifier(cell)).equals("age")){
System.out.println(Bytes.toString(CellUtil.cloneFamily(cell)));
System.out.println(Bytes.toString(CellUtil.cloneQualifier(cell)));
System.out.println(Bytes.toString(CellUtil.cloneRow(cell)));
System.out.println(Bytes.toInt(CellUtil.cloneValue(cell)));
}else {
System.out.println(Bytes.toString(CellUtil.cloneFamily(cell)));
System.out.println(Bytes.toString(CellUtil.cloneQualifier(cell)));
System.out.println(Bytes.toString(CellUtil.cloneRow(cell)));
System.out.println(Bytes.toString(CellUtil.cloneValue(cell)));
}
}*/

}

}

4、过滤器查询
过滤器的类型很多，但是可以分为两大类——比较过滤器，专用过滤器
过滤器的作用是在服务端判断数据是否满足条件，然后只将满足条件的数据返回给客户端；

hbase过滤器的比较运算符：

LESS <
LESS_OR_EQUAL <=
EQUAL =
NOT_EQUAL <>
GREATER_OR_EQUAL >=
GREATER >
NO_OP 排除所有

Hbase过滤器的专用过滤器（指定比较机制）：

BinaryComparator 按字节索引顺序比较指定字节数组，采用Bytes.compareTo(byte[])
BinaryPrefixComparator 跟前面相同，只是比较左端的数据是否相同
NullComparator 判断给定的是否为空
BitComparator 按位比较
RegexStringComparator 提供一个正则的比较器，仅支持 EQUAL 和非EQUAL
SubstringComparator 判断提供的子串是否出现在value中。

Ⅰ、比较过滤器

①、rowKey过滤器RowFilter

通过RowFilter过滤比rowKey 0003小的所有值出来

/**
     * hbase行键过滤器RowFilter
     */
     
    public  void rowKeyFilter() throws IOException {
        //获取连接
        Configuration conf =new Configuration();
        conf.set("hbase.zookeeper.quorum","node01:2181,node02:2181,node03:2181");
        Connection connection = ConnectionFactory.createConnection(conf);
        Table myuser = connection.getTable(TableName.valueOf("myuser"));

        Scan scan = new Scan();
        RowFilter rowFilter = new RowFilter(CompareFilter.CompareOp.LESS_OR_EQUAL, new BinaryComparator(Bytes.toBytes("0003")));

        scan.setFilter(rowFilter);
        ResultScanner resultScanner = myuser.getScanner(scan);
        for (Result result : resultScanner) {
            //获取rowkey
            System.out.println(Bytes.toString(result.getRow()));

            //指定列族以及列打印列当中的数据出来
            System.out.println(Bytes.toInt(result.getValue("f1".getBytes(), "id".getBytes())));
            System.out.println(Bytes.toInt(result.getValue("f1".getBytes(), "age".getBytes())));
            System.out.println(Bytes.toString(result.getValue("f1".getBytes(), "name".getBytes())));
        }
        myuser.close();

    }

②、列族过滤器FamilyFilter

查询比f2列族小的所有的列族内的数据

/**
     * hbase列族过滤器FamilyFilter
     */
     
    public  void familyFilter() throws IOException {
        //获取连接
        Configuration conf =new Configuration();
        conf.set("hbase.zookeeper.quorum","node01:2181,node02:2181,node03:2181");
        Connection connection = ConnectionFactory.createConnection(conf);
        Table myuser = connection.getTable(TableName.valueOf("myuser"));
        Scan scan = new Scan();
        FamilyFilter familyFilter = new FamilyFilter(CompareFilter.CompareOp.LESS, new SubstringComparator("f2"));
        scan.setFilter(familyFilter);
        ResultScanner resultScanner = myuser.getScanner(scan);
        for (Result result : resultScanner) {
            //获取rowkey
            System.out.println(Bytes.toString(result.getRow()));
            //指定列族以及列打印列当中的数据出来
            System.out.println(Bytes.toInt(result.getValue("f1".getBytes(), "id".getBytes())));
            System.out.println(Bytes.toInt(result.getValue("f1".getBytes(), "age".getBytes())));
            System.out.println(Bytes.toString(result.getValue("f1".getBytes(), "name".getBytes())));
        }
        myuser.close();
    }

③、列过滤器QualifierFilter

只查询name列的值

/**
     * hbase列过滤器
     */
     
    public  void qualifierFilter() throws IOException {
        //获取连接
        Configuration conf =new Configuration();
        conf.set("hbase.zookeeper.quorum","node01:2181,node02:2181,node03:2181");
        Connection connection = ConnectionFactory.createConnection(conf);
        Table myuser = connection.getTable(TableName.valueOf("myuser"));
        Scan scan = new Scan();
        QualifierFilter qualifierFilter = new QualifierFilter(CompareFilter.CompareOp.EQUAL, new SubstringComparator("name"));
        scan.setFilter(qualifierFilter);
        ResultScanner resultScanner = myuser.getScanner(scan);
        for (Result result : resultScanner) {
            //获取rowkey
            System.out.println(Bytes.toString(result.getRow()));
            //指定列族以及列打印列当中的数据出来
        //    System.out.println(Bytes.toInt(result.getValue("f1".getBytes(), "id".getBytes())));
            System.out.println(Bytes.toString(result.getValue("f1".getBytes(), "name".getBytes())));
        }
        myuser.close();
    }

④列值过滤器ValueFilter

查询所有列当中包含8的数据

/**
     * hbase值过滤器
     * 查询包含8的列值
     */
     
    public  void valueFilter() throws IOException {
        //获取连接
        Configuration conf =new Configuration();
        conf.set("hbase.zookeeper.quorum","node01:2181,node02:2181,node03:2181");
        Connection connection = ConnectionFactory.createConnection(conf);
        Table myuser = connection.getTable(TableName.valueOf("myuser"));
        Scan scan = new Scan();
        ValueFilter valueFilter = new ValueFilter(CompareFilter.CompareOp.EQUAL, new SubstringComparator("8"));

        scan.setFilter(valueFilter);
        ResultScanner resultScanner = myuser.getScanner(scan);
        for (Result result : resultScanner) {
            //获取rowkey
            System.out.println(Bytes.toString(result.getRow()));
            //指定列族以及列打印列当中的数据出来
            //    System.out.println(Bytes.toInt(result.getValue("f1".getBytes(), "id".getBytes())));
            System.out.println(Bytes.toString(result.getValue("f2".getBytes(), "phone".getBytes())));
        }
        myuser.close();
    }

Ⅱ、专用过滤器

①、单列值过滤器 SingleColumnValueFilter

SingleColumnValueFilter会返回满足条件的整列值的所有字段

/**
     * 单列值过滤器，返回满足条件的整行数据
     */
     
    public void singleColumnFilter() throws IOException {
        //获取连接
        Configuration conf =new Configuration();
        conf.set("hbase.zookeeper.quorum","node01:2181,node02:2181,node03:2181");
        Connection connection = ConnectionFactory.createConnection(conf);
        Table myuser = connection.getTable(TableName.valueOf("myuser"));
        Scan scan = new Scan();
        SingleColumnValueFilter singleColumnValueFilter = new SingleColumnValueFilter("f1".getBytes(), "name".getBytes(), CompareFilter.CompareOp.EQUAL, "刘备".getBytes());
        scan.setFilter(singleColumnValueFilter);
        ResultScanner resultScanner = myuser.getScanner(scan);
        for (Result result : resultScanner) {
            //获取rowkey
            System.out.println(Bytes.toString(result.getRow()));
            //指定列族以及列打印列当中的数据出来
            System.out.println(Bytes.toInt(result.getValue("f1".getBytes(), "id".getBytes())));
            System.out.println(Bytes.toString(result.getValue("f1".getBytes(), "name".getBytes())));
            System.out.println(Bytes.toString(result.getValue("f2".getBytes(), "phone".getBytes())));
        }
        myuser.close();
    }

②、列值排除过滤器SingleColumnValueExcludeFilter

与SingleColumnValueFilter相反，会排除掉指定的列，其他的列全部返回

③、rowkey前缀过滤器PrefixFilter

查询以00开头的所有前缀的rowkey

/**
     * 行键前缀过滤器
     */
     
    public void preFilter() throws IOException {

        //获取连接
        Configuration conf =new Configuration();
        conf.set("hbase.zookeeper.quorum","node01:2181,node02:2181,node03:2181");
        Connection connection = ConnectionFactory.createConnection(conf);
        Table myuser = connection.getTable(TableName.valueOf("myuser"));
        Scan scan = new Scan();
        PrefixFilter prefixFilter = new PrefixFilter("00".getBytes());
        scan.setFilter(prefixFilter);
        ResultScanner resultScanner = myuser.getScanner(scan);
        for (Result result : resultScanner) {
            //获取rowkey
            System.out.println(Bytes.toString(result.getRow()));
            //指定列族以及列打印列当中的数据出来
            System.out.println(Bytes.toInt(result.getValue("f1".getBytes(), "id".getBytes())));
            System.out.println(Bytes.toString(result.getValue("f1".getBytes(), "name".getBytes())));
            System.out.println(Bytes.toString(result.getValue("f2".getBytes(), "phone".getBytes())));
        }
        myuser.close();

    }

④、分页过滤器PageFilter

通过pageFilter实现分页过滤器

 public void pageFilter2() throws IOException {
        //获取连接
        Configuration conf =new Configuration();
        conf.set("hbase.zookeeper.quorum", "node01:2181,node02:2181,node03:2181");
        Connection connection = ConnectionFactory.createConnection(conf);
        Table myuser = connection.getTable(TableName.valueOf("myuser"));
        int pageNum = 3;
        int pageSize = 2;
        Scan scan = new Scan();
        if (pageNum == 1) {
            PageFilter filter = new PageFilter(pageSize);
            scan.setStartRow(Bytes.toBytes(""));
            scan.setFilter(filter);
            scan.setMaxResultSize(pageSize);
            ResultScanner scanner = myuser.getScanner(scan);
            for (Result result : scanner) {
                //获取rowkey
                System.out.println(Bytes.toString(result.getRow()));
                //指定列族以及列打印列当中的数据出来
//            System.out.println(Bytes.toInt(result.getValue("f1".getBytes(), "id".getBytes())));
                System.out.println(Bytes.toString(result.getValue("f1".getBytes(), "name".getBytes())));
                //System.out.println(Bytes.toString(result.getValue("f2".getBytes(), "phone".getBytes())));
            }

        }else{
            String startRowKey ="";
            PageFilter filter = new PageFilter((pageNum - 1) * pageSize + 1  );
            scan.setStartRow(startRowKey.getBytes());
            scan.setMaxResultSize((pageNum - 1) * pageSize + 1);
            scan.setFilter(filter);
            ResultScanner scanner = myuser.getScanner(scan);
            for (Result result : scanner) {
                byte[] row = result.getRow();
                startRowKey =  new String(row);
            }
            Scan scan2 = new Scan();
            scan2.setStartRow(startRowKey.getBytes());
            scan2.setMaxResultSize(Long.valueOf(pageSize));
            PageFilter filter2 = new PageFilter(pageSize);
            scan2.setFilter(filter2);

            ResultScanner scanner1 = myuser.getScanner(scan2);
            for (Result result : scanner1) {
                byte[] row = result.getRow();
                System.out.println(new String(row));
            }
        }
        myuser.close();
    }

多过滤器综合查询FilterList

需求：使用SingleColumnValueFilter查询f1列族，name为刘备的数据，并且同时满足rowkey的前缀以00开头的数据（PrefixFilter）

/**
     * 多过滤器组合使用
     */
     
    public void manyFilter() throws IOException {
        //获取连接
        Configuration conf =new Configuration();
        conf.set("hbase.zookeeper.quorum", "node01:2181,node02:2181,node03:2181");
        Connection connection = ConnectionFactory.createConnection(conf);
        Table myuser = connection.getTable(TableName.valueOf("myuser"));
        Scan scan = new Scan();
        FilterList filterList = new FilterList();

        SingleColumnValueFilter singleColumnValueFilter = new SingleColumnValueFilter("f1".getBytes(), "name".getBytes(), CompareFilter.CompareOp.EQUAL, "刘备".getBytes());
        PrefixFilter prefixFilter = new PrefixFilter("00".getBytes());
        filterList.addFilter(singleColumnValueFilter);
        filterList.addFilter(prefixFilter);
        scan.setFilter(filterList);
        ResultScanner scanner = myuser.getScanner(scan);
        for (Result result : scanner) {
            //获取rowkey
            System.out.println(Bytes.toString(result.getRow()));
            //指定列族以及列打印列当中的数据出来
//            System.out.println(Bytes.toInt(result.getValue("f1".getBytes(), "id".getBytes())));
            System.out.println(Bytes.toString(result.getValue("f1".getBytes(), "name".getBytes())));
            //System.out.println(Bytes.toString(result.getValue("f2".getBytes(), "phone".getBytes())));
        }
        myuser.close();

    }

3、多过滤器综合查询FilterList
需求：使用SingleColumnValueFilter查询f1列族，name为刘备的数据，并且同时满足rowkey的前缀以00开头的数据（PrefixFilter）

/**
* 多过滤器组合使用
*/

public void manyFilter() throws IOException {
//获取连接
Configuration conf =new Configuration();
conf.set("hbase.zookeeper.quorum", "node01:2181,node02:2181,node03:2181");
Connection connection = ConnectionFactory.createConnection(conf);
Table myuser = connection.getTable(TableName.valueOf("myuser"));
Scan scan = new Scan();
FilterList filterList = new FilterList();

SingleColumnValueFilter singleColumnValueFilter = new SingleColumnValueFilter("f1".getBytes(), "name".getBytes(), CompareFilter.CompareOp.EQUAL, "刘备".getBytes());
PrefixFilter prefixFilter = new PrefixFilter("00".getBytes());
filterList.addFilter(singleColumnValueFilter);
filterList.addFilter(prefixFilter);
scan.setFilter(filterList);
ResultScanner scanner = myuser.getScanner(scan);
for (Result result : scanner) {
//获取rowkey
System.out.println(Bytes.toString(result.getRow()));
//指定列族以及列打印列当中的数据出来
// System.out.println(Bytes.toInt(result.getValue("f1".getBytes(), "id".getBytes())));
System.out.println(Bytes.toString(result.getValue("f1".getBytes(), "name".getBytes())));
//System.out.println(Bytes.toString(result.getValue("f2".getBytes(), "phone".getBytes())));
}
myuser.close();

}

5、根据rowkey删除数据

/**
* 删除数据
*/

public void deleteByRowKey() throws IOException {
//获取连接
Configuration conf =new Configuration();
conf.set("hbase.zookeeper.quorum","node01:2181,node02:2181,node03:2181");
Connection connection = ConnectionFactory.createConnection(conf);
Table myuser = connection.getTable(TableName.valueOf("myuser"));
Delete delete = new Delete("0001".getBytes());
myuser.delete(delete);
myuser.close();
}

6、删除表操作

public void deleteTable() throws IOException {
//获取连接
Configuration conf =new Configuration();
conf.set("hbase.zookeeper.quorum","node01:2181,node02:2181,node03:2181");
Connection connection = ConnectionFactory.createConnection(conf);
Admin admin = connection.getAdmin();
admin.disableTable(TableName.valueOf("myuser"));
admin.deleteTable(TableName.valueOf("myuser"));
admin.close();
}