28、Redis6详解 主要的时redis基本操作

1、redis的应用场景：排行榜，秒杀系统，手机验证吗自动失效，构建队列，消息发布订阅

2、docker-compose 安装redis docker-compose.yml 配置文件

version: '3'

services:
  redis:
    image: redis:latest
    container_name: redis
    restart: always
    ports:
      - 6379:6379
    networks:
      - mynetwork
    volumes:
      - ./redis.conf:/usr/local/etc/redis/redis.conf:rw
      - ./data:/data:rw
    command:
      /bin/bash -c "redis-server /usr/local/etc/redis/redis.conf "
networks:
  mynetwork:
    external: true

3、redis的五大数据类型：string字符串、list集合，set集合、Hash、zset有序集合

4、redis操作key的命令

 

 4、redis 操作字符串数据类型

 

 5、redis操作List列表数据类型

 

6、redis操作set集合数据类型

 

 7、redis操作Hash数据类型

 

 8、redis操作zset集合数据类型

 

 

 9、SpringBoot整合redis发送手机验证码的实现添加依赖

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

        <!-- spring2.X集成redis所需common-pool2-->
        <dependency>
            <groupId>org.apache.commons</groupId>
            <artifactId>commons-pool2</artifactId>
            <version>2.6.0</version>
        </dependency>

编写配置文件application.properties

#Redis服务器地址
spring.redis.host=8.129.215.115
#Redis服务器连接端口
spring.redis.port=6379
#Redis数据库索引（默认为0）
spring.redis.database= 0
#连接超时时间（毫秒）
spring.redis.timeout=1800000
#连接池最大连接数（使用负值表示没有限制）
spring.redis.lettuce.pool.max-active=20
#最大阻塞等待时间(负数表示没限制)
spring.redis.lettuce.pool.max-wait=-1
#连接池中的最大空闲连接
spring.redis.lettuce.pool.max-idle=5
#连接池中的最小空闲连接
spring.redis.lettuce.pool.min-idle=0

编写Redis配置类

@EnableCaching
@Configuration
public class RedisConfig extends CachingConfigurerSupport {

    @Bean
    public RedisTemplate<String, Object> redisTemplate(RedisConnectionFactory factory) {
        RedisTemplate<String, Object> template = new RedisTemplate<>();
        RedisSerializer<String> redisSerializer = new StringRedisSerializer();
        Jackson2JsonRedisSerializer jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer(Object.class);
        ObjectMapper om = new ObjectMapper();
        om.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY);
        om.enableDefaultTyping(ObjectMapper.DefaultTyping.NON_FINAL);
        jackson2JsonRedisSerializer.setObjectMapper(om);
        template.setConnectionFactory(factory);
        //key序列化方式
        template.setKeySerializer(redisSerializer);
        //value序列化
        template.setValueSerializer(jackson2JsonRedisSerializer);
        //value hashmap序列化
        template.setHashValueSerializer(jackson2JsonRedisSerializer);
        return template;
    }

    @Bean
    public CacheManager cacheManager(RedisConnectionFactory factory) {
        RedisSerializer<String> redisSerializer = new StringRedisSerializer();
        Jackson2JsonRedisSerializer jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer(Object.class);
        //解决查询缓存转换异常的问题
        ObjectMapper om = new ObjectMapper();
        om.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY);
        om.enableDefaultTyping(ObjectMapper.DefaultTyping.NON_FINAL);
        jackson2JsonRedisSerializer.setObjectMapper(om);
        // 配置序列化（解决乱码的问题）,过期时间600秒
        RedisCacheConfiguration config = RedisCacheConfiguration.defaultCacheConfig()
                .entryTtl(Duration.ofSeconds(600))
                .serializeKeysWith(RedisSerializationContext.SerializationPair.fromSerializer(redisSerializer))
                .serializeValuesWith(RedisSerializationContext.SerializationPair.fromSerializer(jackson2JsonRedisSerializer))
                .disableCachingNullValues();
        RedisCacheManager cacheManager = RedisCacheManager.builder(factory)
                .cacheDefaults(config)
                .build();
        return cacheManager;
    }
}

测试redisTemplate 发送验证码

@SpringBootTest
public class PhoneCodeServiceTest {

    @Autowired
    RedisTemplate redisTemplate;
    @Autowired
    StringRedisTemplate stringRedisTemplate;

    @Test
    public void test01() {
        String phoneCode = checkPhoneCode("13652332424");
        checkCode("13652332424",phoneCode);
    }

    public void checkCode (String phone,String code) {
        String codeKey = "checkPhone"+ phone+ ":code";
        Object codeValue = redisTemplate.opsForValue().get(codeKey);
        if(code.equals(codeValue)) {
            System.out.println("成功");
        }else {
            System.out.println("失败");
        }
    }

    public String checkPhoneCode (String phone) {
        String codeKey = "checkPhone"+ phone+ ":code";
        String countKey = "checkPhone"+ phone+ ":count";
        Object count = redisTemplate.opsForValue().get(countKey);
        if(count == null) {
            //第一次发送验证码
            redisTemplate.opsForValue().set(countKey, 1, 24*60*60, TimeUnit.SECONDS);
        }else if(Integer.parseInt(String.valueOf(count)) <=2) {
            // 每次加一
            Long increment = redisTemplate.boundValueOps(countKey).increment(1);
            System.out.println(increment);
        }else if (Integer.parseInt(String.valueOf(count))>2) {
            System.out.println("今天验证码发送超过三次了");
        }
        //把这个验证码存到redis中
        String phoneCode = getCode();
        redisTemplate.opsForValue().set(codeKey, phoneCode, 120, TimeUnit.SECONDS);
        return phoneCode;
    }

    //生成验证码方法
    public String getCode () {
        Random random = new Random();
        String code = "";
        for(int i=0;i<6;i++) {
            int nextInt = random.nextInt(10);
            code = code + nextInt;
        }
        return code;
    }
}