HBase API 之旅_大数据系统

Hbase API 之旅

Hbase API

环境准备DDL

判断表是否存在创建表删除表创建命名空间 DML

插入数据单条数据查询扫描数据删除数据

Hbase API 环境准备

项目后在 pom.xml 中添加依赖


    org.apache.hbase
    hbase-server
    2.0.5



    org.apache.hbase
    hbase-client
    2.0.5

DDL

创建 Hbase_DDL 类

判断表是否存在

package com.cpucode.hbase.table.exist;

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hbase.*;
import org.apache.hadoop.hbase.client.*;

import java.io.IOException;


public class IsTableExist {

    private static Connection connection ;

    static{
        Configuration conf = HbaseConfiguration.create();
        conf.set("hbase.zookeeper.quorum","cpucode101,cpucode102,cpucode103");
        try {
            connection = ConnectionFactory.createConnection(conf);
        } catch (IOException e) {
            e.printStackTrace();
        }
    }

    public static void main(String[] args) throws IOException {
        String tableName = "test";

        boolean tableExist = isTableExist(tableName);
        System.out.println(tableExist);
    }


    public static boolean isTableExist(String tableName) throws IOException {

        //3.获取DDL操作对象
        Admin admin = connection.getAdmin();

        //4.判断表是否存在操作
        boolean b = admin.tableExists(TableName.valueOf(tableName));
        //5.关闭连接
        admin.close();
        connection.close();

        //6.返回结果
        return b;
    }
}

https://github.com/CPU-Code/Hadoop

创建表

package com.cpucode.hbase.create.table;

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hbase.HbaseConfiguration;
import org.apache.hadoop.hbase.TableName;
import org.apache.hadoop.hbase.client.*;
import org.apache.hadoop.hbase.util.Bytes;

import java.io.IOException;


public class CreateTable {
    private static Connection connection ;

    static{
        //创建配置信息并配置
        Configuration conf = HbaseConfiguration.create();
        conf.set("hbase.zookeeper.quorum","cpucode101,cpucode102,cpucode103");
        try {
            // 获取与Hbase的连接
            connection = ConnectionFactory.createConnection(conf);
        } catch (IOException e) {
            e.printStackTrace();
        }
    }

    public static void main(String[] args) throws IOException {
        String tableName = "test";

        createTable(tableName, "info1", "info2");
    }

    public static void createTable(String tableName, String... cfs) throws IOException {
        //1.判断是否存在列族信息
        if (cfs.length <= 0){
            System.err.println("请设置列族信息！");
            return;
        }

        //2.判断表是否存在
        if (isTableExist(tableName)){
            System.err.println("需要创建的表已存在！");
            return;
        }

        //5.获取DDL操作对象
        Admin admin = connection.getAdmin();

        //6.创建表描述器构造器
        TableDescriptorBuilder tableDescriptorBuilder = TableDescriptorBuilder.newBuilder(TableName.valueOf(tableName));

        //7.循环添加列族信息
        for (String cf : cfs) {
            ColumnFamilyDescriptorBuilder columnFamilyDescriptorBuilder = ColumnFamilyDescriptorBuilder.newBuilder(Bytes.toBytes(cf));

            tableDescriptorBuilder.setColumnFamily(columnFamilyDescriptorBuilder.build());
        }

        //8.执行创建表的操作
        admin.createTable(tableDescriptorBuilder.build());

        //9.关闭资源
        admin.close();
        connection.close();
    }

    public static boolean isTableExist(String tableName) throws IOException {

        //3.获取DDL操作对象
        Admin admin = connection.getAdmin();

        //4.判断表是否存在操作
        boolean b = admin.tableExists(TableName.valueOf(tableName));
        //5.关闭连接
        admin.close();

        //6.返回结果
        return b;
    }
}

https://github.com/CPU-Code/Hadoop

删除表

package com.cpucode.hbase.drop.table;

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hbase.HbaseConfiguration;
import org.apache.hadoop.hbase.TableName;
import org.apache.hadoop.hbase.client.Admin;
import org.apache.hadoop.hbase.client.Connection;
import org.apache.hadoop.hbase.client.ConnectionFactory;

import java.io.IOException;


public class DropTable {
    private static Connection connection ;

    static{
        //创建配置信息并配置
        Configuration conf = HbaseConfiguration.create();
        conf.set("hbase.zookeeper.quorum","cpucode101,cpucode102,cpucode103");
        try {
            // 获取与Hbase的连接
            connection = ConnectionFactory.createConnection(conf);
        } catch (IOException e) {
            e.printStackTrace();
        }
    }

    public static void main(String[] args) throws IOException {
        String tableName = "test";

        dropTable(tableName);
    }

    public static void dropTable(String tableName) throws IOException {
        //1.判断表是否存在
        if (!isTableExist(tableName)){
            System.err.println("需要删除的表不存在！");
            return;
        }

        //4.获取DDL操作对象
        Admin admin = connection.getAdmin();

        //5.使表下线
        TableName tableName1 = TableName.valueOf(tableName);
        admin.disableTable(tableName1);

        //6.执行删除表操作
        admin.deleteTable(tableName1);

        //7.关闭资源
        admin.close();
        connection.close();
    }

    public static boolean isTableExist(String tableName) throws IOException {

        //3.获取DDL操作对象
        Admin admin = connection.getAdmin();

        //4.判断表是否存在操作
        boolean b = admin.tableExists(TableName.valueOf(tableName));
        //5.关闭连接
        admin.close();

        //6.返回结果
        return b;
    }
}

https://github.com/CPU-Code/Hadoop

创建命名空间

package com.cpucode.hbase.create.nameSpace;

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hbase.HbaseConfiguration;
import org.apache.hadoop.hbase.NamespaceDescriptor;
import org.apache.hadoop.hbase.NamespaceExistException;
import org.apache.hadoop.hbase.client.Admin;
import org.apache.hadoop.hbase.client.Connection;
import org.apache.hadoop.hbase.client.ConnectionFactory;

import java.io.IOException;


public class CreateNameSpace {
    private static Connection connection ;

    static{
        //创建配置信息并配置
        Configuration conf = HbaseConfiguration.create();
        conf.set("hbase.zookeeper.quorum","cpucode101,cpucode102,cpucode103");
        try {
            // 获取与Hbase的连接
            connection = ConnectionFactory.createConnection(conf);
        } catch (IOException e) {
            e.printStackTrace();
        }
    }

    public static void main(String[] args) throws IOException {
        String ns = "cpuTest";

        createNameSpace(ns);
    }

    public static void createNameSpace(String ns) throws IOException {
        // 基本的判空操作
        if(ns == null || ns.equals("")){
            System.err.println("nameSpace名字不能为空");
            return ;
        }
        
        // 获取DDL操作对象
        Admin admin = connection.getAdmin();
        // 创建命名空间描述器
        NamespaceDescriptor build = NamespaceDescriptor.create(ns).build();
        // 执行创建命名空间操作
        try {
            admin.createNamespace(build);
        } catch (NamespaceExistException e) {
            System.err.println("命名空间已存在！");
        } catch (Exception e) {
            e.printStackTrace();
        }finally {
	        // 关闭连接
	        admin.close();
	        connection.close();
		}
    }
}

https://github.com/CPU-Code/Hadoop

DML 插入数据

package com.cpucode.hbase.dml.put.data;

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hbase.HbaseConfiguration;
import org.apache.hadoop.hbase.TableName;
import org.apache.hadoop.hbase.client.Connection;
import org.apache.hadoop.hbase.client.ConnectionFactory;
import org.apache.hadoop.hbase.client.Put;
import org.apache.hadoop.hbase.client.Table;
import org.apache.hadoop.hbase.util.Bytes;

import java.io.IOException;


public class PutData {
    private static Connection connection ;

    static{
        //创建配置信息并配置
        Configuration conf = HbaseConfiguration.create();
        conf.set("hbase.zookeeper.quorum","cpucode101,cpucode102,cpucode103");
        try {
            // 获取与Hbase的连接
            connection = ConnectionFactory.createConnection(conf);
        } catch (IOException e) {
            e.printStackTrace();
        }
    }
    
    public static void main(String[] args) throws IOException {
        String tableName = "test";
        putData(tableName, "1001", "info1", "name", "cpuCode");
    }

    public static void putData(String tableName, String rowKey, String cf, String cn, String value) throws IOException {
        //3.获取表的连接
        Table table = connection.getTable(TableName.valueOf(tableName));

        //4.创建Put对象
        Put put = new Put(Bytes.toBytes(rowKey));

        //5.放入数据
        put.addColumn(Bytes.toBytes(cf), Bytes.toBytes(cn), Bytes.toBytes(value));

        //6.执行插入数据操作
        table.put(put);

        //7.关闭连接
        table.close();
        connection.close();
    }
}

https://github.com/CPU-Code/Hadoop

单条数据查询

package com.cpucode.hbase.dml.get.data;

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hbase.Cell;
import org.apache.hadoop.hbase.CellUtil;
import org.apache.hadoop.hbase.HbaseConfiguration;
import org.apache.hadoop.hbase.TableName;
import org.apache.hadoop.hbase.client.*;
import org.apache.hadoop.hbase.util.Bytes;

import java.io.IOException;


public class GetData {
    private static Connection connection ;

    static{
        //创建配置信息并配置
        Configuration conf = HbaseConfiguration.create();
        conf.set("hbase.zookeeper.quorum","cpucode101,cpucode102,cpucode103");
        try {
            // 获取与Hbase的连接
            connection = ConnectionFactory.createConnection(conf);
        } catch (IOException e) {
            e.printStackTrace();
        }
    }

    public static void main(String[] args) throws IOException {
        String tableName = "test";

        getDate(tableName, "1001", "info1", "value");
    }

    public static void getDate(String tableName, String rowKey, String cf, String cn) throws IOException {
        // 获取表的连接
        Table table = connection.getTable(TableName.valueOf(tableName));
        // 创建Get对象
        Get get = new Get(Bytes.toBytes(rowKey));

        // 指定列族查询
        // get.addFamily(Bytes.toBytes(cf));
        // 指定列族:列查询
        // get.addColumn(Bytes.toBytes(cf), Bytes.toBytes(cn));


        //查询数据
        Result result = table.get(get);

        // 解析result
        for (Cell cell : result.rawCells()) {
            System.out.println("ROW:" + Bytes.toString(CellUtil.cloneRow(cell)) +
                    " CF:" + Bytes.toString(CellUtil.cloneFamily(cell))+
                    " CL:" + Bytes.toString(CellUtil.cloneQualifier(cell))+
                    " VALUE:" + Bytes.toString(CellUtil.clonevalue(cell)));
        }

        // 关闭连接
        table.close();
        connection.close();
    }
}

https://github.com/CPU-Code/Hadoop

扫描数据

package com.cpucode.hbase.dml.scan.table;

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hbase.Cell;
import org.apache.hadoop.hbase.CellUtil;
import org.apache.hadoop.hbase.HbaseConfiguration;
import org.apache.hadoop.hbase.TableName;
import org.apache.hadoop.hbase.client.*;
import org.apache.hadoop.hbase.util.Bytes;

import java.io.IOException;


public class ScanTable {
    private static Connection connection ;

    static{
        //创建配置信息并配置
        Configuration conf = HbaseConfiguration.create();
        conf.set("hbase.zookeeper.quorum","cpucode101,cpucode102,cpucode103");
        try {
            // 获取与Hbase的连接
            connection = ConnectionFactory.createConnection(conf);
        } catch (IOException e) {
            e.printStackTrace();
        }
    }

    public static void main(String[] args) throws IOException {
        String tableName = "test";
        scanTable(tableName);
    }

    public static void scanTable(String tableName) throws IOException {
        // 获取表的连接
        Table table = connection.getTable(TableName.valueOf(tableName));

        //创建Scan对象
        Scan scan = new Scan();

        // 扫描数据
        ResultScanner scanner = table.getScanner(scan);

        // 解析results
        for (Result result : scanner) {
            for (Cell cell : result.rawCells()) {
                System.out.println(Bytes.toString(CellUtil.cloneRow(cell)) + ":" +
                                Bytes.toString(CellUtil.cloneFamily(cell)) + ":" +
                                Bytes.toString(CellUtil.cloneQualifier(cell)) + ":" +
                                Bytes.toString(CellUtil.clonevalue(cell)));

            }
        }

        // 关闭资源
        table.close();
        connection.close();
    }
}

https://github.com/CPU-Code/Hadoop

删除数据

package com.cpucode.hbase.dml.deleta.data;

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hbase.HbaseConfiguration;
import org.apache.hadoop.hbase.TableName;
import org.apache.hadoop.hbase.client.Connection;
import org.apache.hadoop.hbase.client.ConnectionFactory;
import org.apache.hadoop.hbase.client.Delete;
import org.apache.hadoop.hbase.client.Table;
import org.apache.hadoop.hbase.util.Bytes;

import java.io.IOException;


public class DeleteData {
    private static Connection connection ;

    static{
        //创建配置信息并配置
        Configuration conf = HbaseConfiguration.create();
        conf.set("hbase.zookeeper.quorum","cpucode101,cpucode102,cpucode103");
        try {
            // 获取与Hbase的连接
            connection = ConnectionFactory.createConnection(conf);
        } catch (IOException e) {
            e.printStackTrace();
        }
    }

    public static void main(String[] args) throws IOException {
        deletaData("test", "1001", "info1", "name");
    }

    public static void deletaData(String tableName, String rowKey, String cf, String cn) throws IOException {
        // 获取表的连接
        Table table = connection.getTable(TableName.valueOf(tableName));

        // 创建Delete对象
        Delete delete = new Delete(Bytes.toBytes(rowKey));

        // 指定列族删除数据
        // delete.addFamily(Bytes.toBytes(cf));
        // 指定列族:列删除数据(所有版本)
        // delete.addColumn(Bytes.toBytes(cf), Bytes.toBytes(cn));
        // 指定列族:列删除数据(指定版本)
        // delete.addColumns(Bytes.toBytes(cf), Bytes.toBytes(cn));

        // 执行删除数据操作
        table.delete(delete);

        //关闭资源
        table.close();
        connection.close();
    }
}

https://github.com/CPU-Code/Hadoop

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