springboot整合redis

1.引入依赖

  <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-data-redis</artifactId>
  </dependency>
  <dependency>
            <groupId>org.projectlombok</groupId>
            <artifactId>lombok</artifactId>
            <optional>true</optional>
  </dependency>

2.自定义redisTemplate

package com.example.redis_springboot.config;

import com.example.redis_springboot.pojo.User;
import com.fasterxml.jackson.annotation.JsonAutoDetect;
import com.fasterxml.jackson.annotation.PropertyAccessor;
import com.fasterxml.jackson.databind.ObjectMapper;
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.Jackson2JsonRedisSerializer;
import org.springframework.data.redis.serializer.StringRedisSerializer;

/**
 * @author zhmsky
 * @date 2022/1/29 21:46
 */
@Configuration
public class RedisConfig {

    @SuppressWarnings("all")
    @Bean
    public RedisTemplate<String, Object> redisTemplate(RedisConnectionFactory factory) {
        RedisTemplate<String, Object> template = new RedisTemplate<String, Object>();
        template.setConnectionFactory(factory);
        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);
        StringRedisSerializer stringRedisSerializer = new
                StringRedisSerializer();
        // key采用String的序列化方式
        template.setKeySerializer(stringRedisSerializer);
        // hash的key也采用String的序列化方式
        template.setHashKeySerializer(stringRedisSerializer);
        // value序列化方式采用jackson
        template.setValueSerializer(jackson2JsonRedisSerializer);
        // hash的value序列化方式采用jackson
        template.setHashValueSerializer(jackson2JsonRedisSerializer);
        template.afterPropertiesSet();
        return template;
    }

}

3.封装redis工具类

package com.example.redis_springboot.utils;

import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.core.*;
import org.springframework.stereotype.Component;
import org.springframework.stereotype.Service;

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

/**
 * @author zhmsky
 * @date 2022/1/29 22:48
 */
@Component
public class RedisUtils {
    @Autowired
    private RedisTemplate redisTemplate;
    /**
     * 写入缓存
     * @param key
     * @param value
     * @return
     */
    public boolean set(final String key, Object value) {
        boolean result = false;
        try {
            ValueOperations<Serializable, Object> operations = redisTemplate.opsForValue();
            operations.set(key, value);
            result = true;
        } catch (Exception e) {
            e.printStackTrace();
        }
        return result;
    }
    /**
     * 写入缓存设置时效时间
     * @param key
     * @param value
     * @return
     */
    public boolean set(final String key, Object value, Long expireTime , TimeUnit timeUnit) {
        boolean result = false;
        try {
            ValueOperations<Serializable, Object> operations = redisTemplate.opsForValue();
            operations.set(key, value);
            redisTemplate.expire(key, expireTime, timeUnit);
            result = true;
        } catch (Exception e) {
            e.printStackTrace();
        }
        return result;
    }
    /**
     * 批量删除对应的value
     * @param keys
     */
    public void remove(final String... keys) {
        for (String key : keys) {
            remove(key);
        }
    }
    /**
     * 批量删除key
     * @param pattern
     */
    public void removePattern(final String pattern) {
        Set<Serializable> keys = redisTemplate.keys(pattern);
        if (keys.size() > 0){
            redisTemplate.delete(keys);
        }
    }
    /**
     * 删除对应的value
     * @param key
     */
    public void remove(final String key) {
        if (exists(key)) {
            redisTemplate.delete(key);
        }
    }
    /**
     * 判断缓存中是否有对应的value
     * @param key
     * @return
     */
    public boolean exists(final String key) {
        return redisTemplate.hasKey(key);
    }
    /**
     * 读取缓存
     * @param key
     * @return
     */
    public Object get(final String key) {
        Object result = null;
        ValueOperations<Serializable, Object> operations = redisTemplate.opsForValue();
        result = operations.get(key);
        return result;
    }
    /**
     * 哈希 添加
     * @param key
     * @param hashKey
     * @param value
     */
    public void hmSet(String key, Object hashKey, Object value){
        HashOperations<String, Object, Object> hash = redisTemplate.opsForHash();
        hash.put(key,hashKey,value);
    }
    /**
     * 哈希获取数据
     * @param key
     * @param hashKey
     * @return
     */
    public Object hmGet(String key, Object hashKey){
        HashOperations<String, Object, Object>  hash = redisTemplate.opsForHash();
        return hash.get(key,hashKey);
    }
    /**
     * 列表添加
     * @param k
     * @param v
     */
    public void lPush(String k,Object v){
        ListOperations<String, Object> list = redisTemplate.opsForList();
        list.rightPush(k,v);
    }
    /**
     * 列表获取
     * @param k
     * @param l
     * @param l1
     * @return
     */
    public List<Object> lRange(String k, long l, long l1){
        ListOperations<String, Object> list = redisTemplate.opsForList();
        return list.range(k,l,l1);
    }
    /**
     * 集合添加
     * @param key
     * @param value
     */
    public void add(String key,Object value){
        SetOperations<String, Object> set = redisTemplate.opsForSet();
        set.add(key,value);
    }
    /**
     * 集合获取
     * @param key
     * @return
     */
    public Set<Object> setMembers(String key){
        SetOperations<String, Object> set = redisTemplate.opsForSet();
        return set.members(key);
    }
    /**
     * 有序集合添加
     * @param key
     * @param value
     * @param scoure
     */
    public void zAdd(String key,Object value,double scoure){
        ZSetOperations<String, Object> zset = redisTemplate.opsForZSet();
        zset.add(key,value,scoure);
    }
    /**
     * 有序集合获取
     * @param key
     * @param scoure
     * @param scoure1
     * @return
     */
    public Set<Object> rangeByScore(String key, double scoure, double scoure1){
        ZSetOperations<String, Object> zset = redisTemplate.opsForZSet();
        return zset.rangeByScore(key, scoure, scoure1);
    }

}

4.测试

4.1 实体类

package com.example.redis_springboot.pojo;

import lombok.AllArgsConstructor;
import lombok.Data;
import lombok.NoArgsConstructor;

import java.io.Serializable;

/**
 * @author zhmsky
 * @date 2022/1/29 22:51
 */
@Data
@AllArgsConstructor
@NoArgsConstructor
/**
 * redis存储实体类对象必须序列化(当实体类对象用于存储或传输时,必须进行序列化操作)
 */
public class User implements Serializable {
    private String name;
    private Integer age;
    private String password;
}

4.2 单元测试

package com.example.redis_springboot;

import com.example.redis_springboot.pojo.User;
import com.example.redis_springboot.utils.RedisUtils;
import org.junit.jupiter.api.Test;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.data.redis.core.RedisTemplate;

@SpringBootTest
class RedisSpringbootApplicationTests {

    @Autowired
    private RedisTemplate<String,Object> redisTemplate;

    @Autowired
    private RedisUtils redisUtils;

    @Test
    void contextLoads() {
        //获取redis连接
//        RedisConnection connection = redisTemplate.getConnectionFactory().getConnection();
//        connection.flushDb();
//        connection.flushAll();
        //操作字符串类型
//        redisTemplate.opsForValue().set("zhmsky","嘻嘻嘻嘻哈哈");
        redisTemplate.delete("zhmsky");
    }

    @Test
    public void test(){
        User user = new User("zhmsky", 23, "12544");
        redisUtils.set("user",user);
        System.out.println(redisUtils.get("user"));
    }

}

4.3 结果

在这里插入图片描述

总结

redis作为最热门的缓存数据库,在实际项目开发过程中,如果需要查询数据库数据,先走redis缓存,检查redis缓存是否存储对应数据,若有则直接从redis缓存取出;否则再去查对应的mysql数据库或者其它,查出来后再把对应数据放进redis缓存。

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