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构建基于Spring Boot 2.X应用,使用RedisCac

构建基于Spring Boot 2.X应用,使用RedisCac

作者: 菜的无法无天 | 来源:发表于2019-10-30 09:17 被阅读0次

在Spring2.X后,配置redis缓存发生了许多变化,经多家搬砖配置成功,记载一下

配置文件

pom配置文件

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

yml配置文件

# REDIS (RedisProperties)
# Redis数据库索引(默认为0)
spring.redis.database : 0
# Redis服务器地址
spring.redis.host : ENC(3JKUl3E6YNNEy3NMR/ZqaRxtMu8KRYGU)
# Redis服务器连接端口
spring.redis.port : 6379
# Redis服务器连接密码(默认为空)
spring.redis.password : ENC(02/kx8pDSQBHmJC5EvAk2GKxTxneimzq)
# 连接超时时间(毫秒)
spring.redis.timeout : 10000
#redis默认存储时间
redis.valid : 900

#lettuce客户端
spring.redis.lettuce.pool.min-idle : 0
spring.redis.lettuce.pool.max-idle : 8
spring.redis.lettuce.pool.max-wait : -1
spring.redis.lettuce.pool.max-active : 8
spring.redis.lettuce.shutdown-timeout : 100

springboot配置版文件

package club.bookweb.business.config;

import com.fasterxml.jackson.annotation.JsonAutoDetect;
import com.fasterxml.jackson.annotation.PropertyAccessor;
import com.fasterxml.jackson.databind.ObjectMapper;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.data.redis.connection.RedisPassword;
import org.springframework.data.redis.connection.RedisStandaloneConfiguration;
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 LettuceRedisConfig {

    @Value("${spring.redis.host}")
    private String host;

    @Value("${spring.redis.port}")
    private int port;

    @Value("${spring.redis.timeout}")
    private int timeout;

    @Value("${spring.redis.database}")
    private int database;

    @Value("${spring.redis.password}")
    private String password;

    @Bean
    public LettuceConnectionFactory lettuceConnectionFactory() {
        RedisStandaloneConfiguration config = new RedisStandaloneConfiguration(host, port);
        config.setDatabase(0);
        config.setPassword(RedisPassword.of(password));
        return new LettuceConnectionFactory(config);
    }

    /**
     * 配置RedisTemplate
     * 设置添加序列化器
     * key 使用string序列化器
     * value 使用Json序列化器
     * 还有一种简答的设置方式,改变defaultSerializer对象的实现。
     *
     * @return redisTemplate
     */
    @Bean
    public RedisTemplate<String, Object> redisTemplate(LettuceConnectionFactory lettuceConnectionFactory) {
        RedisTemplate<String, Object> template = new RedisTemplate<String, Object>();
        template.setConnectionFactory(lettuceConnectionFactory);
        Jackson2JsonRedisSerializer jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer(Object.class);
        ObjectMapper objectMapper = new ObjectMapper();
        objectMapper.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY);
        objectMapper.enableDefaultTyping(ObjectMapper.DefaultTyping.NON_FINAL);
        jackson2JsonRedisSerializer.setObjectMapper(objectMapper);
        template.setKeySerializer(new StringRedisSerializer());
        template.setValueSerializer(jackson2JsonRedisSerializer);
        template.setHashKeySerializer(new StringRedisSerializer());
        template.setHashValueSerializer(jackson2JsonRedisSerializer);
        template.afterPropertiesSet();
        return template;
    }
}

缓存配置文件


package club.bookweb.business.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.cache.RedisCacheWriter;
import org.springframework.data.redis.connection.lettuce.LettuceConnectionFactory;
import org.springframework.data.redis.serializer.Jackson2JsonRedisSerializer;
import org.springframework.data.redis.serializer.RedisSerializationContext;
import org.springframework.data.redis.serializer.StringRedisSerializer;

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

/**
 * <p>
 * ** spring redis缓存配置文件 **
 * </p>
 *
 * @author douguohai
 * @since 2019-04-28
 */
@Configuration
@EnableCaching
public class RedisCacheConfig extends CachingConfigurerSupport {


    /**
     * 此方法为了避免分布式系统对某个类的hash数值不同导致不使用缓存而创建的
     * 单机状态下,这个几乎无作用
     */
    @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();
            }
        };

    }


    @Bean
    public CacheManager cacheManager(LettuceConnectionFactory lettuceConnectionFactory) {
        return new RedisCacheManager(
                RedisCacheWriter.nonLockingRedisCacheWriter(lettuceConnectionFactory),
                this.getRedisCacheConfigurationWithTtl(900),  // 默认策略,未配置的 key 会使用这个
                this.getRedisCacheConfigurationMap()               // 指定 key 策略
        );
    }

    private Map<String, RedisCacheConfiguration> getRedisCacheConfigurationMap() {
        Map<String, RedisCacheConfiguration> redisCacheConfigurationMap = new HashMap<String, RedisCacheConfiguration>();
        redisCacheConfigurationMap.put("user", this.getRedisCacheConfigurationWithTtl(30)); // 单独设置某些cache的超时时间
        redisCacheConfigurationMap.put("user2", this.getRedisCacheConfigurationWithTtl(100)); // 单独设置某些cache的超时时间
        return redisCacheConfigurationMap;
    }

    private RedisCacheConfiguration getRedisCacheConfigurationWithTtl(Integer seconds) {
        // 设置CacheManager的值序列化方式为JdkSerializationRedisSerializer,
        // 但其实RedisCacheConfiguration默认就是使用StringRedisSerializer序列化key,
        // JdkSerializationRedisSerializer序列化value,所以以下注释代码为默认实现

        Jackson2JsonRedisSerializer<Object> 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);

        RedisCacheConfiguration redisCacheConfiguration = RedisCacheConfiguration.defaultCacheConfig();

        redisCacheConfiguration = redisCacheConfiguration
                .disableCachingNullValues()
                .computePrefixWith((name) -> {
                    return name + ":";
                })
                .serializeKeysWith(RedisSerializationContext.SerializationPair.fromSerializer(new StringRedisSerializer()))
                .serializeValuesWith(
                        RedisSerializationContext.SerializationPair.fromSerializer(jackson2JsonRedisSerializer))
                .entryTtl(Duration.ofSeconds(seconds));

        return redisCacheConfiguration;
    }

}

先说遇到的问图

  • 在redis中生成的缓存的 key 被默认的多加了一个 :
    经查询源代码是这个引起的
package org.springframework.data.redis.cache;

@FunctionalInterface
public interface CacheKeyPrefix {
    String compute(String var1);

    static CacheKeyPrefix simple() {
        return (name) -> {
            return name + "::";
        };
    }
}

所以,做如下修改

 redisCacheConfiguration = redisCacheConfiguration
                .disableCachingNullValues()
                .computePrefixWith((name) -> {
                    return name + ":";
                })
                .serializeKeysWith(RedisSerializationContext.SerializationPair.fromSerializer(new StringRedisSerializer()))
                .serializeValuesWith(
                        RedisSerializationContext.SerializationPair.fromSerializer(jackson2JsonRedisSerializer))
                .entryTtl(Duration.ofSeconds(seconds));

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