SpringBoot整合Redis实现热点数据缓存的示例代码

SpringBoot热点数据缓存 SpringBoot整合Redis缓存 2023-03-13 14:03:23 373人浏览独家记忆

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摘要

我们以IDEA + SpringBoot作为 Java中整合Redis的使用的测试环境首先，我们需要导入Redis的Maven依赖 <!-- Redis的maven依赖包

我们以IDEA + SpringBoot作为 Java中整合Redis的使用的测试环境

首先，我们需要导入Redis的Maven依赖

<!-- Redis的maven依赖包 -->
		<dependency>
			<groupId>org.springframework.boot</groupId>
			<artifactId>spring-boot-starter-data-redis</artifactId>
		</dependency>

其次，我们需要在配置文件中配置你的Redis配置信息，我使用的是 .yml文件格式

# redis配置
spring:
  redis:
    # r服务器地址
    host: 127.0.0.1
    # 服务器端口
    port: 6379
    # 数据库索引（默认0）
    database: 0
    # 连接超时时间（毫秒）
    timeout: 10s
    jedis:
      pool:
        # 连接池中的最大空闲连接数
        max-idle: 8
        # 连接池中的最小空闲连接数
        min-idle: 0
        # 连接池最大连接数（使用负值表示没有限制）
        max-active: 8
        # 连接池最大阻塞等待时间（使用负值表示没有限制）
        max-wait: -1

对 redis 做自定义配置

import com.fasterxml.jackson.annotation.JSONAutoDetect;
import com.fasterxml.jackson.annotation.jsonTypeInfo;
import com.fasterxml.jackson.annotation.PropertyAccessor;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.fasterxml.jackson.databind.jsontype.impl.LaissezFaireSubTypeValidator;
import org.springframework.cache.annotation.CachinGConfigurerSupport;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.data.redis.connection.lettuce.LettuceConnectionFactory;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.serializer.Jackson2JsonRedisSerializer;
import org.springframework.data.redis.serializer.StringRedisSerializer;
 
@Configuration
public class RedisConfigurer extends CachingConfigurerSupport {
 
    
    @Bean
    public RedisTemplate<String, Object> redisTemplate(LettuceConnectionFactory lettuceConnectionFactory) {
        // 配置redisTemplate
        RedisTemplate<String, Object> redisTemplate = new RedisTemplate<>();
        redisTemplate.setConnectionFactory(lettuceConnectionFactory);
        // 设置序列化
        Jackson2JsonRedisSerializer<Object> redisSerializer = getRedisSerializer();
        // key序列化
        redisTemplate.seTKEySerializer(new StringRedisSerializer());
        // value序列化
        redisTemplate.setValueSerializer(redisSerializer);
        // Hash key序列化
        redisTemplate.setHashKeySerializer(new StringRedisSerializer());
        // Hash value序列化
        redisTemplate.setHashValueSerializer(redisSerializer);
        redisTemplate.afterPropertiesSet();
        return redisTemplate;
    }
 
    
    private Jackson2JsonRedisSerializer<Object> getRedisSerializer() {
        Jackson2JsonRedisSerializer<Object> redisSerializer = new Jackson2JsonRedisSerializer<>(Object.class);
        ObjectMapper om = new ObjectMapper();
        om.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY);
        om.activateDefaultTyping(LaissezFaireSubTypeValidator.instance, ObjectMapper.DefaultTyping.NON_FINAL, JsonTypeInfo.As.PROPERTY);
        redisSerializer.setObjectMapper(om);
        return redisSerializer;
    }
}

然后，我们需要创建一个RedisUtil来对Redis数据库进行操作

package com.zyxx.test.utils;
 
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.stereotype.Component;
 

@Component
public class RedisUtil {
 
    @Autowired
    private RedisTemplate<String, String> template;
 
    
    public String get(final String key) {
        return template.opsForValue().get(key);
    }
 
    
    public boolean set(final String key, String value) {
        boolean res = false;
        try {
            template.opsForValue().set(key, value);
            res = true;
        } catch (Exception e) {
            e.printStackTrace();
        }
        return res;
    }
 
    
    public boolean update(final String key, String value) {
        boolean res = false;
        try {
            template.opsForValue().getAndSet(key, value);
            res = true;
        } catch (Exception e) {
            e.printStackTrace();
        }
        return res;
    }
 
    
    public boolean del(final String key) {
        boolean res = false;
        try {
            template.delete(key);
            res = true;
        } catch (Exception e) {
            e.printStackTrace();
        }
        return res;
    }
    
	
    public boolean hasKey(final String key) {
        boolean res = false;
        try {
            res = template.hasKey(key);
        } catch (Exception e) {
            e.printStackTrace();
        }
        return res;
    }
 
	
    public boolean setExpire(final String key, long seconds) {
        boolean res = false;
        try {
            if (0 < seconds) {
                res = template.expire(key, seconds, TimeUnit.SECONDS);
            }
        } catch (Exception e) {
            e.printStackTrace();
        }
        return res;
    }
 
    
    public long getExpire(final String key) {
        long res = 0;
        try {
            res = template.getExpire(key, TimeUnit.SECONDS);
        } catch (Exception e) {
            e.printStackTrace();
        }
        return res;
    }
 
	
    public boolean persist(final String key) {
        boolean res = false;
        try {
            res = template.persist(key);
        } catch (Exception e) {
            e.printStackTrace();
        }
        return res;
    }
    
}

最后，我们可以使用单元测试来检测我们在RedisUtil中写的操作Redis数据库的方法

package com.zyxx.test;
 
import com.zyxx.test.utils.RedisUtil;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.test.context.junit4.SpringRunner;
import javax.annotation.Resource;
 
@RunWith(SpringRunner.class)
@SpringBootTest
public class TestApplicationTest {
 
    @Resource
    private RedisUtil redisUtil;
 
    @Test
    public void setRedis() {
        boolean res = redisUtil.set("jay", "周杰伦 - 《以父之名》");
        System.out.println(res);
    }
 
    @Test
    public void getRedis() {
        String res = redisUtil.get("jay");
        System.out.println(res);
    }
 
 
    @Test
    public void updateRedis() {
        boolean res = redisUtil.update("jay", "周杰伦 - 《夜的第七章》");
        System.out.println(res);
    }
 
    @Test
    public void delRedis() {
        boolean res = redisUtil.del("jay");
        System.out.println(res);
    }
 
	@Test
    public void hasKey() {
        boolean res = redisUtil.hasKey("jay");
        System.out.println(res);
    }
 
	@Test
    public void expire() {
        boolean res = redisUtil.setExpire("jay", 100);
        System.out.println(res);
    }
 
    @Test
    public void getExpire() {
        long res = redisUtil.getExpire("jay");
        System.out.println(res);
    }
 
	@Test
    public void persist() {
        boolean res = redisUtil.persist("jay");
        System.out.println(res);
    }
    
}