瑞吉外卖 Redis

Redis入门

redis简介

redis的下载和安装

linux

windows

redis服务启动与停止

linux

修改成后台启动，在redis4.0文件夹下修改redis.conf。在vim中输入/dae，修成如下图所示：

向后查找：n，向前查找N。

再启动服务：src/redis-server ./redis.conf

windows

设置启动服务密码

1. 在redis.conf下指定修改密码成123456：
2. 进入客户端再次启动：

设置远程连接

在redis文件夹空白处右键，调用powershell，输入命令：

因为默认拒绝远程连接，所以我们需要进行设置。

在redis.conf下注释这一行，允许远程连接：

src/redis-cli -h localhost -p 6379 -a 123456

数据类型

常用命令

字符串String操作命令

哈希hash操作命令

列表list操作命令

集合set操作命令

有序集合sorted set操作命令

通用命令

在Java中操作Redis

介绍

Jedis

在pom文件下加入：

        <dependency>
            <groupId>redis.clients</groupId>
            <artifactId>jedis</artifactId>
            <version>2.8.0</version>
        </dependency>

        <dependency>
            <groupId>junit</groupId>
            <artifactId>junit</artifactId>
            <version>4.12</version>
        </dependency>

创建一个测试类：

import org.junit.jupiter.api.Test;
import redis.clients.jedis.Jedis;
/**
 * @author shkstart
 * @create 2023-07-08 17:01
 */
public class JedisTest {
    
    

    @Test
    public void testRedis(){
    
    
        //1 获取连接
        Jedis jedis = new Jedis("localhost",6379);

        //2 执行具体的操作
        jedis.set("username","xiaoming");
        String value = jedis.get("username");
        System.out.println(value);

//        jedis.del("username");
    
        //3 关闭连接
        jedis.close();
    }
}

要想正常运行，先把redis服务启动。

使用Spring Data Redis

        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-data-redis</artifactId>
        </dependency>

• 修改数据库个数：

  

创建一个SpringDataRedisTest类：

package com.itheima.test;

import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.data.redis.connection.DataType;
import org.springframework.data.redis.core.*;
import org.springframework.test.context.junit4.SpringRunner;

import java.util.List;
import java.util.Set;
import java.util.concurrent.TimeUnit;

@SpringBootTest
@RunWith(SpringRunner.class)
public class SpringDataRedisTest {
    
    

    @Autowired
    private RedisTemplate redisTemplate;
    /**
     * 操作String类型数据
     */
    @Test
    public void testString(){
    
    
        redisTemplate.opsForValue().set("city123","beijing");

        String value = (String) redisTemplate.opsForValue().get("city123");
        System.out.println(value);

        redisTemplate.opsForValue().set("key1","value1",10l, TimeUnit.SECONDS);

        Boolean aBoolean = redisTemplate.opsForValue().setIfAbsent("city1234", "nanjing");
        System.out.println(aBoolean);
    }

}

通过测试可以得知Redis这个框架会自动给我们序列化字符串，所以需要一个RedisConfig配置类用来取消序列化：

package com.itheima.config;

import org.springframework.cache.annotation.CachingConfigurerSupport;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.data.redis.connection.RedisConnectionFactory;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.serializer.StringRedisSerializer;

/**
 * Redis配置类
 */

@Configuration
public class RedisConfig extends CachingConfigurerSupport {
    
    

    @Bean
    public RedisTemplate<Object, Object> redisTemplate(RedisConnectionFactory connectionFactory) {
    
    

        RedisTemplate<Object, Object> redisTemplate = new RedisTemplate<>();

        //默认的Key序列化器为：JdkSerializationRedisSerializer
        redisTemplate.setKeySerializer(new StringRedisSerializer());
        redisTemplate.setHashKeySerializer(new StringRedisSerializer());

        redisTemplate.setConnectionFactory(connectionFactory);

        return redisTemplate;
    }

}

以下是使用Spring Data Redis进行测试：

package com.itheima.test;

import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.data.redis.connection.DataType;
import org.springframework.data.redis.core.*;
import org.springframework.test.context.junit4.SpringRunner;

import java.util.List;
import java.util.Set;
import java.util.concurrent.TimeUnit;

@SpringBootTest
@RunWith(SpringRunner.class)
public class SpringDataRedisTest {
    
    

    @Autowired
    private RedisTemplate redisTemplate;

    /**
     * 操作String类型数据
     */
    @Test
    public void testString(){
    
    
        redisTemplate.opsForValue().set("city123","beijing");

        String value = (String) redisTemplate.opsForValue().get("city123");
        System.out.println(value);

        redisTemplate.opsForValue().set("key1","value1",10l, TimeUnit.SECONDS);

        //若存在不赋值
        Boolean aBoolean = redisTemplate.opsForValue().setIfAbsent("city1234", "nanjing");
        System.out.println(aBoolean);
    }

    /**
     * 操作Hash类型数据
     */
    @Test
    public void testHash(){
    
    
        HashOperations hashOperations = redisTemplate.opsForHash();

        //存值
        hashOperations.put("002","name","xiaoming");
        hashOperations.put("002","age","20");
        hashOperations.put("002","address","bj");

        //取值
        String age = (String) hashOperations.get("002", "age");
        System.out.println(age);

        //获得hash结构中的所有字段
        Set keys = hashOperations.keys("002");
        for (Object key : keys) {
    
    
            System.out.println(key);
        }

        //获得hash结构中的所有值
        List values = hashOperations.values("002");
        for (Object value : values) {
    
    
            System.out.println(value);
        }
    }

    /**
     * 操作List类型的数据
     */
    @Test
    public void testList(){
    
    
        ListOperations listOperations = redisTemplate.opsForList();

        //存值
        listOperations.leftPush("mylist","a");
        listOperations.leftPushAll("mylist","b","c","d");

        //取值
        List<String> mylist = listOperations.range("mylist", 0, -1);
        for (String value : mylist) {
    
    
            System.out.println(value);
        }

        //获得列表长度 llen
        Long size = listOperations.size("mylist");
        int lSize = size.intValue();
        for (int i = 0; i < lSize; i++) {
    
    
            //出队列
            String element = (String) listOperations.rightPop("mylist");
            System.out.println(element);
        }
    }

    /**
     * 操作Set类型的数据
     */
    @Test
    public void testSet(){
    
    
        SetOperations setOperations = redisTemplate.opsForSet();

        //存值
        setOperations.add("myset","a","b","c","a");

        //取值
        Set<String> myset = setOperations.members("myset");
        for (String o : myset) {
    
    
            System.out.println(o);
        }

        //删除成员
        setOperations.remove("myset","a","b");

        //取值
        myset = setOperations.members("myset");
        for (String o : myset) {
    
    
            System.out.println(o);
        }

    }

    /**
     * 操作ZSet类型的数据
     */
    @Test
    public void testZset(){
    
    
        ZSetOperations zSetOperations = redisTemplate.opsForZSet();

        //存值
        zSetOperations.add("myZset","a",10.0);
        zSetOperations.add("myZset","b",11.0);
        zSetOperations.add("myZset","c",12.0);
        zSetOperations.add("myZset","a",13.0);

        //取值
        Set<String> myZset = zSetOperations.range("myZset", 0, -1);
        for (String s : myZset) {
    
    
            System.out.println(s);
        }

        //修改分数
        zSetOperations.incrementScore("myZset","b",20.0);

        //取值
        myZset = zSetOperations.range("myZset", 0, -1);
        for (String s : myZset) {
    
    
            System.out.println(s);
        }

        //删除成员
        zSetOperations.remove("myZset","a","b");

        //取值
        myZset = zSetOperations.range("myZset", 0, -1);
        for (String s : myZset) {
    
    
            System.out.println(s);
        }
    }

    /**
     * 通用操作，针对不同的数据类型都可以操作
     */
    @Test
    public void testCommon(){
    
    
        //获取Redis中所有的key
        Set<String> keys = redisTemplate.keys("*");
        for (String key : keys) {
    
    
            System.out.println(key);
        }

        //判断某个key是否存在
        Boolean itcast = redisTemplate.hasKey("itcast");
        System.out.println(itcast);

        //删除指定key
        redisTemplate.delete("myZset");

        //获取指定key对应的value的数据类型
        DataType dataType = redisTemplate.type("myset");
        System.out.println(dataType.name());

    }
}