springboot整合redis的笔记

时间:2019-03-06 16:59 来源:linux.it.net.cn 作者:IT

1.先导入pom依赖

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

2.在application.yml中配置的redis信息



spring:
redis:
      database: 0
      host: 192.168.147.144
      port: 6379
      password: 123456
      jedis:
          pool:
              max-active: 100
              max-idle: 3
              max-wait: -1
              min-idle: 0
      timeout: 1000

3.创建RedisConfig.java(相当于Beans)

package com.company.springboot05.config;

import com.fasterxml.jackson.annotation.JsonAutoDetect;
import com.fasterxml.jackson.annotation.PropertyAccessor;
import com.fasterxml.jackson.databind.ObjectMapper;
import org.springframework.cache.CacheManager;
import org.springframework.cache.annotation.CachingConfigurerSupport;
import org.springframework.cache.annotation.EnableCaching;
import org.springframework.cache.interceptor.KeyGenerator;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.data.redis.cache.RedisCacheConfiguration;
import org.springframework.data.redis.cache.RedisCacheManager;
import org.springframework.data.redis.connection.RedisConnectionFactory;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.core.StringRedisTemplate;
import org.springframework.data.redis.serializer.Jackson2JsonRedisSerializer;
import org.springframework.data.redis.serializer.StringRedisSerializer;

import java.lang.reflect.Method;
import java.time.Duration;
import java.util.HashMap;
import java.util.HashSet;
import java.util.Map;
import java.util.Set;

/**
* redis配置类
**/
//@Configuration可理解为用spring的时候xml里面的<beans>标签。
@Configuration
@EnableCaching//开启注解式缓存
//继承CachingConfigurerSupport，为了自定义生成KEY的策略。可以不继承。
public class RedisConfig extends CachingConfigurerSupport {

    /**
     * 生成redis中的主键的key的策略根据类名+方法名+所有参数的值生成唯一的一个key
     *
     * @return
     */
    @Bean
    @Override
    public KeyGenerator keyGenerator() {
        return new KeyGenerator() {
            @Override
            public Object generate(Object target, Method method, Object... params) {
                StringBuilder sb = new StringBuilder();
                sb.append(target.getClass().getName());
                sb.append(method.getName());
                for (Object obj : params) {
                    sb.append(obj.toString());
                }
                return sb.toString();
            }
        };
    }

    /**
     * 管理缓存
     *
     * @param redisConnectionFactory
     * @return
     */
    @Bean
    public CacheManager cacheManager(RedisConnectionFactory redisConnectionFactory) {
        //通过Spring提供的RedisCacheConfiguration类，构造一个自己的redis配置类，从该配置类中可以设置一些初始化的缓存命名空间
        // 及对应的默认过期时间等属性，再利用RedisCacheManager中的builder.build()的方式生成cacheManager：
        RedisCacheConfiguration config = RedisCacheConfiguration.defaultCacheConfig(); // 生成一个默认配置，通过config对象即可对缓存进行自定义配置
        config = config.entryTtl(Duration.ofMinutes(1))     // 设置缓存的默认过期时间，也是使用Duration设置
                .disableCachingNullValues();     // 设置不缓存空值

        // 设置一个初始化的缓存空间set集合
        Set<String> cacheNames = new HashSet<>();
        // 设置不同名字的缓存空间
        cacheNames.add("my-redis-cache1");
        cacheNames.add("my-redis-cache2");

        // 对每个缓存空间应用不同的配置
        Map<String, RedisCacheConfiguration> configMap = new HashMap<>();
        configMap.put("my-redis-cache1", config);
        configMap.put("my-redis-cache2", config.entryTtl(Duration.ofSeconds(1200)));

        RedisCacheManager cacheManager = RedisCacheManager.builder(redisConnectionFactory)     // 使用自定义的缓存配置初始化一个cacheManager
                .initialCacheNames(cacheNames) // 注意这两句的调用顺序，一定要先调用该方法设置初始化的缓存名，再初始化相关的配置
                .withInitialCacheConfigurations(configMap)
                .build();
        return cacheManager;
    }

    @Bean
    public RedisTemplate<Object, Object> redisTemplate(RedisConnectionFactory connectionFactory) {
        RedisTemplate<Object, Object> template = new RedisTemplate<>();
        template.setConnectionFactory(connectionFactory);

        //使用Jackson2JsonRedisSerializer来序列化和反序列化redis的value值（默认使用JDK的序列化方式）
        Jackson2JsonRedisSerializer serializer = new Jackson2JsonRedisSerializer(Object.class);

        ObjectMapper mapper = new ObjectMapper();
        mapper.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY);
        mapper.enableDefaultTyping(ObjectMapper.DefaultTyping.NON_FINAL);
        serializer.setObjectMapper(mapper);

        template.setValueSerializer(serializer);
        //使用StringRedisSerializer来序列化和反序列化redis的key值
        template.setKeySerializer(new StringRedisSerializer());
        template.afterPropertiesSet();
        return template;
    }

    @Bean
    public StringRedisTemplate stringRedisTemplate(RedisConnectionFactory factory) {
        StringRedisTemplate stringRedisTemplate = new StringRedisTemplate();
        stringRedisTemplate.setConnectionFactory(factory);
        return stringRedisTemplate;
    }

}

4.使用

//    @Cacheable    可读可取    @CachePut     只读不取   两者的配置如value,key等都相同
//    value 设置存储在名字为my-redis-cache1的缓存空间中(可在cacheManager方法中设置缓存空间)
//    key = "'book'+#bookId" : 代表当在redis中生成的键为'book'字符串加上bookId这个参数
//    condition = "#bookId>10" :   代表当参数bookId>10才存入缓存中
//    @Cacheable(value = "my-redis-cache1", key = "'book'+#bookId",condition = "#bookId>10")
    @CachePut("my-redis-cache2")
    public TBoook selectByPrimaryKey(Long bookId) {
        return tBoookMapper.selectByPrimaryKey(bookId);
    }

(责任编辑：IT)