使用Java操作HBase(增,删,改,查操作)
Posted lambda-小张
tags:
篇首语:本文由小常识网(cha138.com)小编为大家整理,主要介绍了使用Java操作HBase(增,删,改,查操作)相关的知识,希望对你有一定的参考价值。
目录
3、创建maven项目,在pom.xml文件中添加如下依赖项
在这里我用的是idea操作的
一、配置
1.首先确保HBase集群已经开启
[root@hadoop ~]# jps
2761 HQuorumPeer
2137 ResourceManager
7114 Jps
2858 HMaster
1691 NameNode
1789 DataNode
2237 NodeManager
2943 HRegionServer
1983 SecondaryNameNode
上面所有节点都有
2.配置hosts文件
在你所在电脑配置你的hadoop集群信息,所以需要找到并修改hosts文件:
hosts的目录:C:\\Windows\\System32\\drivers\\etc
在这里我的伪分布式下的,修改hosts文件时需要打开所有权限,才能保存
使用记事本打开,修改后并保存
在文档最后一行加上IP空格主机名
任务管理器中输入ping 主机名
C:\\Users\\>ping hadoop
192.168.171.151 的 Ping 统计信息:
数据包: 已发送 = 4,已接收 = 4,丢失 = 0 (0% 丢失),
往返行程的估计时间(以毫秒为单位):
最短 = 0ms,最长 = 1ms,平均 = 0ms
3、创建maven
项目,在pom.xml
文件中添加如下依赖项
<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>
<groupId>com.lenovo</groupId>
<artifactId>0406</artifactId>
<version>1.0-SNAPSHOT</version>
<properties>
<maven.compiler.source>8</maven.compiler.source>
<maven.compiler.target>8</maven.compiler.target>
</properties>
<!-- 从这里导入就可以了 -->
<dependencies>
<dependency>
<groupId>jdk.tools</groupId>
<artifactId>jdk.tools</artifactId>
<version>1.8</version>
<scope>system</scope>
<systemPath>C:/Program Files/Java/jdk1.8.0_91/lib/tools.jar</systemPath>
</dependency>
<!-- HBase -->
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-common</artifactId>
<version>2.7.3</version>
</dependency>
<dependency>
<groupId>org.apache.hbase</groupId>
<artifactId>hbase-it</artifactId>
<version>1.3.1</version>
<type>pom</type>
</dependency>
</dependencies>
<!-- 这里结束 -->
</project>
4.配置log4j.properties文件
将log4j.properties文件拷贝到src/main/resources目录下,这样方便我们看到执行过程
log4j.properties文件路径在hadoop安装包里面:hadoop-2.7.3\\etc\\hadoop\\log4j.properties
二、连接增删改查
1.连接测试类
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hbase.client.Connection;
import org.apache.hadoop.hbase.client.ConnectionFactory;
import org.junit.Test;
import java.io.IOException;
/**
* @Date 2022.04.20
* @AUthor lambda-小张
* @Description 测试连接
*单元测试
*/
public class Demo
@Test
public void test()
//获取配置对象
Configuration con = new Configuration();
con.set("hbase.zookeeper.quorum","IP地址");
//获取连接
try
Connection conn = ConnectionFactory.createConnection(con);
System.out.println(conn);
catch (IOException e)
e.printStackTrace();
运行结果
2.创建表
/**
* @Date 2022.04.20
* @AUthor lambda-小张
* @Description 创建表
* Demo类名
* demo表名
*/
public static void main(String[] args)
new Demo().createTable("demo","userinfo");
public void createTable(String tableName, String familyName)
//获取配置对象
Configuration con = new Configuration();
con.set("hbase.zookeeper.quorum", "ip地址");
//获取连接
Connection conn = null;
Admin admin = null;
try
conn = ConnectionFactory.createConnection(con);
//拿到admin
admin = conn.getAdmin();
//获取表格描述器
HTableDescriptor hTableDescriptor = new HTableDescriptor(TableName.valueOf(tableName));
//添加列簇
hTableDescriptor.addFamily(new HColumnDescriptor(familyName));
//执行创建操作
admin.createTable(hTableDescriptor);
//关流
System.out.println("创建成功");
catch (IOException e)
e.printStackTrace();
finally
try
admin.close();
catch (IOException e)
e.printStackTrace();
try
conn.close();
catch (IOException e)
e.printStackTrace();
运行结果:
HBase中的结果:
hbase(main):001:0> list
TABLE
demo
1 row(s) in 0.3300 seconds
=> ["demo"]
3.添加数据
/**
* @Date 2022.04.20
* @AUthor lambda-小张
* @Description 添加数据
* Demo类名
* demo表名
*/
public static void main(String[] args)
boolean result = new Demo().addOneData("demo", "张三", "753159");//1001的数据
// boolean result = new Demo().addOneData("demo", "lisi", "752159");//1002的数据
// boolean result = new Demo().addOneData("demo", "王五", "762159");//1003的数据
System.out.println(result);
public boolean addOneData(String tableName,String userName,String passWord)
//获取配置对象
Configuration con = new Configuration();
con.set("hbase.zookeeper.quorum","IP地址");
Connection conn = null;
Table table = null;
//获取连接
try
conn = ConnectionFactory.createConnection(con);
//获取表的信息
table = conn.getTable(TableName.valueOf(tableName));
//设置行键
Put put = new Put("1001".getBytes());
//设置列的标识 以及列值
put.addColumn("userinfo".getBytes(),"username".getBytes(),userName.getBytes());
put.addColumn("userinfo".getBytes(),"password".getBytes(),passWord.getBytes());
//执行添加
table.put(put);
//关流
table.close();
conn.close();
catch (IOException e)
e.printStackTrace();
finally
try
table.close();
catch (IOException e)
e.printStackTrace();
try
conn.close();
catch (IOException e)
e.printStackTrace();
return true;
运行结果:
HBase中的结果:
hbase(main):003:0> scan 'demo'
ROW COLUMN+CELL
1001 column=userinfo:name, timestamp=1650476863233, value=\\xE5\\xBC\\xA0\\xE4\\xB8\\x89
1001 column=userinfo:password, timestamp=1650476863233, value=753159
1 row(s) in 0.0230 seconds
4.查询指定行键数据
/**
* @Date 2022.04.21
* @AUthor lambda-小张
* @Description 查询行键数据
* demo表名
* 单元测试
*/
@Test
//获取全部的数据
public void getAllData2()
//获取配置对象
Configuration con= new Configuration();
con.set("hbase.zookeeper.quorum","ip地址");
Connection conn = null;
Table user = null;
try
//获取连接
conn = ConnectionFactory.createConnection(con);
user = conn.getTable(TableName.valueOf("demo"));
//创建get
Get get = new Get("1001".getBytes());
//获取所有列
Result result = user.get(get);
Cell[] cells = result.rawCells();
for (Cell cell : cells)
//获取行键
byte[] rowKey = result.getRow();
String s = new String(rowKey);
//获取列名
byte[] qualifier = cell.getQualifier();
String columnName = new String(qualifier);
//获取值
byte[] value = cell.getValue();
String value2 = new String(value);
System.out.println("行键:"+s+"列名:"+columnName+"值:"+value2);
catch (IOException e)
e.printStackTrace();
finally
try
user.close();
catch (IOException e)
e.printStackTrace();
try
conn.close();
catch (IOException e)
e.printStackTrace();
运行结果:
HBase中的结果:
hbase(main):007:0> get 'demo','1001'
COLUMN CELL
userinfo:name timestamp=1650477242603, value=\\xE7\\x8E\\x8B\\xE4\\xBA\\x94
userinfo:password timestamp=1650477242603, value=762159
1 row(s) in 0.0780 seconds
5.查询全表数据
/**
* @Date 2022.04.21
* @AUthor lambda-小张
* @Description 查询全表数据
* demo表名
* 单元测试
*/
@Test
public void sacnAllData()
Configuration con = new Configuration();
con.set("hbase.zookeeper.quorum", "IP地址");
//获取连接
Connection conn = null;
Table user = null;
try
conn = ConnectionFactory.createConnection(con);
user = conn.getTable(TableName.valueOf("demo"));
Scan scan = new Scan();
scan.setStartRow("1001".getBytes());
scan.setStopRow("1004".getBytes());//小一位
ResultScanner scanner = user.getScanner(scan);
for (Result result : scanner)
List<Cell> cells = result.listCells();
for (Cell cell : cells)
byte[] rowKey = result.getRow();
String s = new String(rowKey);
byte[] qualifier = cell.getQualifier();
String columnName = new String(qualifier);
byte[] value = cell.getValue();
String value2 = new String(value);
System.out.println("行键:" + s + "列名:" + columnName + "值:" + value2);
catch (IOException e)
e.printStackTrace();
finally
try
user.close();
catch (IOException e)
e.printStackTrace();
try
conn.close();
catch (IOException e)
e.printStackTrace();
运行结果:
HBase中的结果:
hbase(main):008:0> scan 'demo'
ROW COLUMN+CELL
1001 column=userinfo:name, timestamp=1650477242603, value=\\xE7\\x8E\\x8B\\xE4\\xBA\\x94
1001 column=userinfo:password, timestamp=1650477242603, value=762159
1002 column=userinfo:name, timestamp=1650477294338, value=lisi
1002 column=userinfo:password, timestamp=1650477294338, value=752159
1003 column=userinfo:name, timestamp=1650477429031, value=\\xE5\\xBC\\xA0\\xE4\\xB8\\x89
1003 column=userinfo:password, timestamp=1650477429031, value=753159
3 row(s) in 0.0280 seconds
6.查询表的行数
/**
* @Date 2022.04.21
* @AUthor lambda-小张
* @Description 查询表的行数
* demo表名
* 单元测试
*/
@Test
public void countRows()
Configuration con = new Configuration();
con.set("hbase.zookeeper.quorum", "IP地址");
//获取连接
Connection conn = null;
Table student = null;
try
conn = ConnectionFactory.createConnection(con);
student = conn.getTable(TableName.valueOf("demo"));
Scan scan = new Scan();
ResultScanner scanner = student.getScanner(scan);
int num = 0;
for(Result result = scanner.next();result!=null;result=scanner.next())
num++;
System.out.println("行数:"+num);
catch (IOException e)
e.printStackTrace();
finally
try
student.close();
catch (IOException e)
e.printStackTrace();
try
conn.close();
catch (IOException e)
e.printStackTrace();
运行结果:
HBase中的结果:
hbase(main):009:0> count 'demo'
3 row(s) in 0.0280 seconds
=> 3
7.查询已存在表
/**
* @Date 2022.04.21
* @AUthor lambda-小张
* @Description 查询已存在表
* demo表名
* 单元测试
*/
@Test
public void listTables()
Configuration con = new Configuration();
con.set("hbase.zookeeper.quorum", "ip地址");
//获取连接
Connection conn = null;
Admin admin = null;
try
conn = ConnectionFactory.createConnection(con);
//拿到admin
admin = conn.getAdmin();
HTableDescriptor[] hTableDescriptors = admin.listTables();
for (HTableDescriptor hTableDescriptor : hTableDescriptors)
System.out.println(hTableDescriptor.getNameAsString());
catch (IOException e)
e.printStackTrace();
finally
try
admin.close();
catch (IOException e)
e.printStackTrace();
try
conn.close();
catch (IOException e)
e.printStackTrace();
运行结果:
HBase中的结果:
hbase(main):011:0> list
TABLE
demo
helloWorld
student
user
year
5 row(s) in 0.0330 seconds
=> ["demo", "helloWorld", "student", "user", "year"]
8.删除指定行数据
/**
* @Date 2022.04.21
* @AUthor lambda-小张
* @Description 删除指定行数据
* demo表名
* 单元测试
*/
@Test
public void deleteDataData()
Configuration con = new Configuration();
con.set("hbase.zookeeper.quorum", "ip地址");
//获取连接
Connection conn = null;
Table helloWorld = null;
try
conn = ConnectionFactory.createConnection(con);
helloWorld = conn.getTable(TableName.valueOf("demo"));
Delete delete = new Delete("1001".getBytes());
helloWorld.delete(delete);
System.out.println("删除成功");
catch (IOException e)
e.printStackTrace();
finally
try
helloWorld.close();
catch (IOException e)
e.printStackTrace();
try
conn.close();
catch (IOException e)
e.printStackTrace();
运行结果:
HBase中的结果:
hbase(main):012:0> scan 'demo'
ROW COLUMN+CELL
1002 column=userinfo:name, timestamp=1650477294338, value=lisi
1002 column=userinfo:password, timestamp=1650477294338, value=752159
1003 column=userinfo:name, timestamp=1650477429031, value=\\xE5\\xBC\\xA0\\xE4\\xB8\\x89
1003 column=userinfo:password, timestamp=1650477429031, value=753159
2 row(s) in 0.0230 seconds
9.删除表
/**
* @Date 2022.04.21
* @AUthor lambda-小张
* @Description 删除表数据
* demo表名
* 单元测试
*/
@Test
public void deleteTable()
Configuration con = new Configuration();
con.set("hbase.zookeeper.quorum", "IP地址");
//获取连接
Connection conn = null;
Admin admin = null;
Table student = null;
try
conn = ConnectionFactory.createConnection(con);
//拿到admin
admin = conn.getAdmin();
student = conn.getTable(TableName.valueOf("demo"));
admin.disableTable(TableName.valueOf("demo"));
admin.deleteTable(TableName.valueOf("demo"));
System.out.println("删除表成功");
catch (IOException e)
e.printStackTrace();
finally
try
student.close();
catch (IOException e)
e.printStackTrace();
try
admin.close();
catch (IOException e)
e.printStackTrace();
try
conn.close();
catch (IOException e)
e.printStackTrace();
运行结果:
HBase中的结果:
hbase(main):013:0> list
TABLE
helloWorld
student
user
year
4 row(s) in 0.0480 seconds
=> ["helloWorld", "student", "user", "year"]
以上是关于使用Java操作HBase(增,删,改,查操作)的主要内容,如果未能解决你的问题,请参考以下文章
Python---MySQL数据库之四大操作(增 删 改 查)