28. SpringBoot 集成Redis

1.引入依赖：

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

2.配置redis

spring.redis.host=127.0.0.1

3.Springboot 配置类

package org.springframework.boot.autoconfigure.data.redis;

import java.net.UnknownHostException;
import org.springframework.boot.autoconfigure.condition.ConditionalOnClass;
import org.springframework.boot.autoconfigure.condition.ConditionalOnMissingBean;
import org.springframework.boot.context.properties.EnableConfigurationProperties;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.context.annotation.Import;
import org.springframework.data.redis.connection.RedisConnectionFactory;
import org.springframework.data.redis.core.RedisOperations;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.core.StringRedisTemplate;

@Configuration
@ConditionalOnClass({RedisOperations.class})
@EnableConfigurationProperties({RedisProperties.class})
@Import({LettuceConnectionConfiguration.class, JedisConnectionConfiguration.class})
public class RedisAutoConfiguration {
    public RedisAutoConfiguration() {
    }

    @Bean
    @ConditionalOnMissingBean(
        name = {"redisTemplate"}　　　　//当Spring容器中没有名称为redisTemplate的容器时，才初始化此Bean
    )
    public RedisTemplate<Object, Object> redisTemplate(RedisConnectionFactory redisConnectionFactory) throws UnknownHostException {
        RedisTemplate<Object, Object> template = new RedisTemplate();
        template.setConnectionFactory(redisConnectionFactory);
        return template;
    }

    @Bean
    @ConditionalOnMissingBean　　　　　　//当Spring容器中没有下面定义的类型的Bean的时候，才加载下面的Bean
    public StringRedisTemplate stringRedisTemplate(RedisConnectionFactory redisConnectionFactory) throws UnknownHostException {
        StringRedisTemplate template = new StringRedisTemplate();
        template.setConnectionFactory(redisConnectionFactory);
        return template;
    }
}

 看到这个@ConditionalOnMissingBean注解后，就知道如果Spring容器中自有了RedisTemplate对象了，这个框架自带的自动配置的RedisTemplate不会实例化。因此我们可以直接自己写个配置类，配置RedisTemplate。

这个RedisTemplate的泛型是<Object,Object>，写代码不方便，需要写好多类型转换的代码；

StringRedisTemplate的泛型是<String,String> 可以将JavaBean通过fastJson搞成String 传到Redis中保存，再从Redis中获取到字符串后再通过FastJson转化成Java。

 

package org.springframework.data.redis.core;

import org.springframework.data.redis.*;
import org.springframework.data.redis.connection.RedisConnection;
import org.springframework.data.redis.connection.RedisConnectionFactory;
import org.springframework.data.redis.connection.StringRedisConnection;
import org.springframework.data.redis.serializer.RedisSerializer;
import org.springframework.data.redis.serializer.StringRedisSerializer;

public class StringRedisTemplate extends RedisTemplate<String, String> {

    /**
     * Constructs a new <code>StringRedisTemplate</code> instance. {@link #setConnectionFactory(RedisConnectionFactory)}
     * and {@link #afterPropertiesSet()} still need to be called.
     */
    public StringRedisTemplate() {
        setKeySerializer(RedisSerializer.string());
        setValueSerializer(RedisSerializer.string());
        setHashKeySerializer(RedisSerializer.string());
        setHashValueSerializer(RedisSerializer.string());
    }

    /**
     * Constructs a new <code>StringRedisTemplate</code> instance ready to be used.
     *
     * @param connectionFactory connection factory for creating new connections
     */
    public StringRedisTemplate(RedisConnectionFactory connectionFactory) {
        this();
        setConnectionFactory(connectionFactory);
        afterPropertiesSet();
    }

    protected RedisConnection preProcessConnection(RedisConnection connection, boolean existingConnection) {
        return new DefaultStringRedisConnection(connection);
    }
}

4.测试类

@RunWith(SpringRunner.class)
@SpringBootTest
public class Springboot01CacheApplicationTests {
    @Autowired
    EmployeeMapper employeeMapper;

    @Autowired
    StringRedisTemplate stringRedisTemplate;  //操作k-v都是字符串的

    @Autowired
    RedisTemplate redisTemplate;  //k-v都是对象的

    @Autowired
    RedisTemplate<Object, User> userRedisTemplate;


    /**
     * Redis常见的五大数据类型
     *  String（字符串）、List（列表）、Set（集合）、Hash（散列）、ZSet（有序集合）
     *  stringRedisTemplate.opsForValue()[String（字符串）]
     *  stringRedisTemplate.opsForList()[List（列表）]
     *  stringRedisTemplate.opsForSet()[Set（集合）]
     *  stringRedisTemplate.opsForHash()[Hash（散列）]
     *  stringRedisTemplate.opsForZSet()[ZSet（有序集合）]
     */
    @Test
    public void test01(){
        //给redis中保存数据
        //stringRedisTemplate.opsForValue().append("msg","hello");
//        String msg = stringRedisTemplate.opsForValue().get("msg");
//        System.out.println(msg);

//        stringRedisTemplate.opsForList().leftPush("mylist","1");   这个会产生bug,需要将redis.conf配置文件中的stop-writes-on-bgsave-error 的值改为no
//        stringRedisTemplate.opsForList().leftPush("mylist","2");
    }

    //测试保存对象
    @Test
    public void test02(){
        User user01 = employeeMapper.getEmpById(1);
        //默认如果保存对象，使用jdk序列化机制，序列化后的数据保存到redis中
        //redisTemplate.opsForValue().set("emp-01",user01);
        //1、将数据以json的方式保存
         //(1)自己将对象转为json
         //(2)redisTemplate默认的序列化规则；改变默认的序列化规则；
        userRedisTemplate.opsForValue().set("emp-01",user01);
    }

    @Test
    public void contextLoads() {

        Employee empById = employeeMapper.getEmpById(1);
        System.out.println(empById);

    }

}

5.序列化解决乱码问题

　　但是springboot 用redids保存对象时，需要对象实现序列化。而SpringBoot为Redis实现的默认序列化机制是Java的序列化。这样存到Redis中的数据没有办法给人读懂，是一堆乱码。这就需要我们重新设置序列化

　　5.1.0）默认的序列化类

public class RedisTemplate<K, V> extends RedisAccessor implements RedisOperations<K, V>, BeanClassLoaderAware {

    private boolean enableDefaultSerializer = true;
    @Nullable
    private RedisSerializer<?> defaultSerializer;

    public void afterPropertiesSet() {
           super.afterPropertiesSet();
            boolean defaultUsed = false;
            if (this.defaultSerializer == null) {
                    this.defaultSerializer = new JdkSerializationRedisSerializer(this.classLoader != null ? this.classLoader : this.getClass().getClassLoader());
            }
        ……..
    }
}

　　5.1.1）默认序列化机制保存的效果：userRedisTemplate.opsForValue().set("emp-01",user01);

5.2.0）自定义序列化机制类

@Configuration
public class RedisConfig {

    @Bean
    public RedisTemplate<Object, User> redisTemplate(RedisConnectionFactory redisConnectionFactory) throws UnknownHostException {
        RedisTemplate<Object, User> template = new RedisTemplate();
        template.setConnectionFactory(redisConnectionFactory);
        Jackson2JsonRedisSerializer jse = new Jackson2JsonRedisSerializer(User.class);
        template.setDefaultSerializer(jse);
        return template;
    }
}

5.2.1）按JavaBean自定义序列化后的保存效果：（局限性太大，不推荐使用）

5.2.2） 自定义泛型为<String,Object>的RedisTemplate

package com.everjiankang.demo.redis;
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;
import com.fasterxml.jackson.annotation.JsonAutoDetect;
import com.fasterxml.jackson.annotation.PropertyAccessor;
import com.fasterxml.jackson.databind.ObjectMapper;

@Configuration
public class RedisConfig {
    @Bean
    @SuppressWarnings("all")
    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;
    }
}

package com.everjiankang.miaosha.redis;
import java.util.List;
import java.util.Map;
import java.util.Set;
import java.util.concurrent.TimeUnit;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.stereotype.Component;
import org.springframework.util.CollectionUtils;

@Component
public final class RedisUtil {
    @Autowired
    private RedisTemplate<String, Object> redisTemplate;
    // =============================common============================
    /**
     * 指定缓存失效时间
     * @param key 键
     * @param time 时间(秒)
     * @return
     */
    public boolean expire(String key, long time) {
        try {
            if (time > 0) {
                redisTemplate.expire(key, time, TimeUnit.SECONDS);
            }
            return true;
        } catch (Exception e) {
            e.printStackTrace();
            return false;
        }
    }
    /**
     * 根据key 获取过期时间
     * @param key 键 不能为null
     * @return 时间(秒) 返回0代表为永久有效
     */
    public long getExpire(String key) {
        return redisTemplate.getExpire(key, TimeUnit.SECONDS);
    }
    /**
     * 判断key是否存在
     * @param key 键
     * @return true 存在 false不存在
     */
    public boolean hasKey(String key) {
        try {
            return redisTemplate.hasKey(key);
        } catch (Exception e) {
            e.printStackTrace();
            return false;
        }
    }
    /**
     * 删除缓存
     * @param key 可以传一个值 或多个
     */
    @SuppressWarnings("unchecked")
    public void del(String... key) {
        if (key != null && key.length > 0) {
            if (key.length == 1) {
                redisTemplate.delete(key[0]);
            } else {
                redisTemplate.delete(CollectionUtils.arrayToList(key));
            }
        }
    }
    // ============================String=============================
    /**
     * 普通缓存获取
     * @param key 键
     * @return 值
     */
    public Object get(String key) {
        return key == null ? null : redisTemplate.opsForValue().get(key);
    }
    /**
     * 普通缓存放入
     * @param key 键
     * @param value 值
     * @return true成功 false失败
     */
    public boolean set(String key, Object value) {
        try {
            redisTemplate.opsForValue().set(key, value);
            return true;
        } catch (Exception e) {
            e.printStackTrace();
            return false;
        }
    }
    /**
     * 普通缓存放入并设置时间
     * @param key 键
     * @param value 值
     * @param time 时间(秒) time要大于0 如果time小于等于0 将设置无限期
     * @return true成功 false 失败
     */
    public boolean set(String key, Object value, long time) {
        try {
            if (time > 0) {
                redisTemplate.opsForValue().set(key, value, time, TimeUnit.SECONDS);
            } else {
                set(key, value);
            }
            return true;
        } catch (Exception e) {
            e.printStackTrace();
            return false;
        }
    }
    /**
     * 递增
     * @param key 键
     * @param delta 要增加几(大于0)
     * @return
     */
    public long incr(String key, long delta) {
        if (delta < 0) {
            throw new RuntimeException("递增因子必须大于0");
        }
        return redisTemplate.opsForValue().increment(key, delta);
    }
    /**
     * 递减
     * @param key 键
     * @param delta 要减少几(小于0)
     * @return
     */
    public long decr(String key, long delta) {
        if (delta < 0) {
            throw new RuntimeException("递减因子必须大于0");
        }
        return redisTemplate.opsForValue().increment(key, -delta);
    }
    // ================================Map=================================
    /**
     * HashGet
     * @param key 键 不能为null
     * @param item 项 不能为null
     * @return 值
     */
    public Object hget(String key, String item) {
        return redisTemplate.opsForHash().get(key, item);
    }
    /**
     * 获取hashKey对应的所有键值
     * @param key 键
     * @return 对应的多个键值
     */
    public Map<Object, Object> hmget(String key) {
        return redisTemplate.opsForHash().entries(key);
    }
    /**
     * HashSet
     * @param key 键
     * @param map 对应多个键值
     * @return true 成功 false 失败
     */
    public boolean hmset(String key, Map<String, Object> map) {
        try {
            redisTemplate.opsForHash().putAll(key, map);
            return true;
        } catch (Exception e) {
            e.printStackTrace();
            return false;
        }
    }
    /**
     * HashSet 并设置时间
     * @param key 键
     * @param map 对应多个键值
     * @param time 时间(秒)
     * @return true成功 false失败
     */
    public boolean hmset(String key, Map<String, Object> map, long time) {
        try {
            redisTemplate.opsForHash().putAll(key, map);
            if (time > 0) {
                expire(key, time);
            }
            return true;
        } catch (Exception e) {
            e.printStackTrace();
            return false;
        }
    }
    /**
     * 向一张hash表中放入数据,如果不存在将创建
     * @param key 键
     * @param item 项
     * @param value 值
     * @return true 成功 false失败
     */
    public boolean hset(String key, String item, Object value) {
        try {
            redisTemplate.opsForHash().put(key, item, value);
            return true;
        } catch (Exception e) {
            e.printStackTrace();
            return false;
        }
    }
    /**
     * 向一张hash表中放入数据,如果不存在将创建
     * @param key 键
     * @param item 项
     * @param value 值
     * @param time 时间(秒) 注意:如果已存在的hash表有时间,这里将会替换原有的时间
     * @return true 成功 false失败
     */
    public boolean hset(String key, String item, Object value, long time) {
        try {
            redisTemplate.opsForHash().put(key, item, value);
            if (time > 0) {
                expire(key, time);
            }
            return true;
        } catch (Exception e) {
            e.printStackTrace();
            return false;
        }
    }
    /**
     * 删除hash表中的值
     * @param key 键 不能为null
     * @param item 项 可以使多个 不能为null
     */
    public void hdel(String key, Object... item) {
        redisTemplate.opsForHash().delete(key, item);
    }
    /**
     * 判断hash表中是否有该项的值
     * @param key 键 不能为null
     * @param item 项 不能为null
     * @return true 存在 false不存在
     */
    public boolean hHasKey(String key, String item) {
        return redisTemplate.opsForHash().hasKey(key, item);
    }
    /**
     * hash递增 如果不存在,就会创建一个 并把新增后的值返回
     * @param key 键
     * @param item 项
     * @param by 要增加几(大于0)
     * @return
     */
    public double hincr(String key, String item, double by) {
        return redisTemplate.opsForHash().increment(key, item, by);
    }
    /**
     * hash递减
     * @param key 键
     * @param item 项
     * @param by 要减少记(小于0)
     * @return
     */
    public double hdecr(String key, String item, double by) {
        return redisTemplate.opsForHash().increment(key, item, -by);
    }
    // ============================set=============================
    /**
     * 根据key获取Set中的所有值
     * @param key 键
     * @return
     */
    public Set<Object> sGet(String key) {
        try {
            return redisTemplate.opsForSet().members(key);
        } catch (Exception e) {
            e.printStackTrace();
            return null;
        }
    }
    /**
     * 根据value从一个set中查询,是否存在
     * @param key 键
     * @param value 值
     * @return true 存在 false不存在
     */
    public boolean sHasKey(String key, Object value) {
        try {
            return redisTemplate.opsForSet().isMember(key, value);
        } catch (Exception e) {
            e.printStackTrace();
            return false;
        }
    }
    /**
     * 将数据放入set缓存
     * @param key 键
     * @param values 值 可以是多个
     * @return 成功个数
     */
    public long sSet(String key, Object... values) {
        try {
            return redisTemplate.opsForSet().add(key, values);
        } catch (Exception e) {
            e.printStackTrace();
            return 0;
        }
    }
    /**
     * 将set数据放入缓存
     * @param key 键
     * @param time 时间(秒)
     * @param values 值 可以是多个
     * @return 成功个数
     */
    public long sSetAndTime(String key, long time, Object... values) {
        try {
            Long count = redisTemplate.opsForSet().add(key, values);
            if (time > 0)
                expire(key, time);
            return count;
        } catch (Exception e) {
            e.printStackTrace();
            return 0;
        }
    }
    /**
     * 获取set缓存的长度
     * @param key 键
     * @return
     */
    public long sGetSetSize(String key) {
        try {
            return redisTemplate.opsForSet().size(key);
        } catch (Exception e) {
            e.printStackTrace();
            return 0;
        }
    }
    /**
     * 移除值为value的
     * @param key 键
     * @param values 值 可以是多个
     * @return 移除的个数
     */
    public long setRemove(String key, Object... values) {
        try {
            Long count = redisTemplate.opsForSet().remove(key, values);
            return count;
        } catch (Exception e) {
            e.printStackTrace();
            return 0;
        }
    }
    // ===============================list=================================
    /**
     * 获取list缓存的内容
     * @param key 键
     * @param start 开始
     * @param end 结束 0 到 -1代表所有值
     * @return
     */
    public List<Object> lGet(String key, long start, long end) {
        try {
            return redisTemplate.opsForList().range(key, start, end);
        } catch (Exception e) {
            e.printStackTrace();
            return null;
        }
    }
    /**
     * 获取list缓存的长度
     * @param key 键
     * @return
     */
    public long lGetListSize(String key) {
        try {
            return redisTemplate.opsForList().size(key);
        } catch (Exception e) {
            e.printStackTrace();
            return 0;
        }
    }
    /**
     * 通过索引 获取list中的值
     * @param key 键
     * @param index 索引 index>=0时， 0 表头，1 第二个元素，依次类推；index<0时，-1，表尾，-2倒数第二个元素，依次类推
     * @return
     */
    public Object lGetIndex(String key, long index) {
        try {
            return redisTemplate.opsForList().index(key, index);
        } catch (Exception e) {
            e.printStackTrace();
            return null;
        }
    }
    /**
     * 将list放入缓存
     * @param key 键
     * @param value 值
     * @param time 时间(秒)
     * @return
     */
    public boolean lSet(String key, Object value) {
        try {
            redisTemplate.opsForList().rightPush(key, value);
            return true;
        } catch (Exception e) {
            e.printStackTrace();
            return false;
        }
    }
    /**
     * 将list放入缓存
     * @param key 键
     * @param value 值
     * @param time 时间(秒)
     * @return
     */
    public boolean lSet(String key, Object value, long time) {
        try {
            redisTemplate.opsForList().rightPush(key, value);
            if (time > 0)
                expire(key, time);
            return true;
        } catch (Exception e) {
            e.printStackTrace();
            return false;
        }
    }
    /**
     * 将list放入缓存
     * @param key 键
     * @param value 值
     * @param time 时间(秒)
     * @return
     */
    public boolean lSet(String key, List<Object> value) {
        try {
            redisTemplate.opsForList().rightPushAll(key, value);
            return true;
        } catch (Exception e) {
            e.printStackTrace();
            return false;
        }
    }
    /**
     * 将list放入缓存
     * 
     * @param key 键
     * @param value 值
     * @param time 时间(秒)
     * @return
     */
    public boolean lSet(String key, List<Object> value, long time) {
        try {
            redisTemplate.opsForList().rightPushAll(key, value);
            if (time > 0)
                expire(key, time);
            return true;
        } catch (Exception e) {
            e.printStackTrace();
            return false;
        }
    }
    /**
     * 根据索引修改list中的某条数据
     * @param key 键
     * @param index 索引
     * @param value 值
     * @return
     */
    public boolean lUpdateIndex(String key, long index, Object value) {
        try {
            redisTemplate.opsForList().set(key, index, value);
            return true;
        } catch (Exception e) {
            e.printStackTrace();
            return false;
        }
    }
    /**
     * 移除N个值为value
     * @param key 键
     * @param count 移除多少个
     * @param value 值
     * @return 移除的个数
     */
    public long lRemove(String key, long count, Object value) {
        try {
            Long remove = redisTemplate.opsForList().remove(key, count, value);
            return remove;
        } catch (Exception e) {
            e.printStackTrace();
            return 0;
        }
    }
}

 

6、SpringBoot项目启动时自动匹配Reids流程解析 

6.1）Spring Boot debug模式下的启动log

SimpleCacheConfiguration:
Did not match:
- @ConditionalOnMissingBean (types: org.springframework.cache.CacheManager; SearchStrategy: all) found beans of type 'org.springframework.cache.CacheManager' cacheManager (OnBeanCondition)
Matched:
- Cache org.springframework.boot.autoconfigure.cache.SimpleCacheConfiguration automatic cache type (CacheCondition)

RedisAutoConfiguration matched:
- @ConditionalOnClass found required class 'org.springframework.data.redis.core.RedisOperations' (OnClassCondition)

RedisAutoConfiguration#redisTemplate matched:
- @ConditionalOnMissingBean (names: redisTemplate; SearchStrategy: all) did not find any beans (OnBeanCondition)

RedisAutoConfiguration#stringRedisTemplate matched:
- @ConditionalOnMissingBean (types: org.springframework.data.redis.core.StringRedisTemplate; SearchStrategy: all) did not find any beans (OnBeanCondition)

RedisCacheConfiguration   matched:
- @ConditionalOnClass found required class 'org.springframework.data.redis.connection.RedisConnectionFactory' (OnClassCondition)
- Cache org.springframework.boot.autoconfigure.cache.RedisCacheConfiguration automatic cache type (CacheCondition)
- @ConditionalOnBean (types: org.springframework.data.redis.connection.RedisConnectionFactory; SearchStrategy: all) found bean 'redisConnectionFactory'; @ConditionalOnMissingBean (types: org.springframework.cache.CacheManager; SearchStrategy: all) did not find any beans (OnBeanCondition)

 6.2) SpringBoot默认缓存配置类

@Configuration
@ConditionalOnMissingBean({CacheManager.class})
@Conditional({CacheCondition.class})
class SimpleCacheConfiguration { //SpringBoot的默认缓存
    private final CacheProperties cacheProperties;
    private final CacheManagerCustomizers customizerInvoker;

    SimpleCacheConfiguration(CacheProperties cacheProperties, CacheManagerCustomizers customizerInvoker) {
        this.cacheProperties = cacheProperties;
        this.customizerInvoker = customizerInvoker;
    }

    @Bean
    public ConcurrentMapCacheManager cacheManager() {
        ConcurrentMapCacheManager cacheManager = new ConcurrentMapCacheManager();
        List<String> cacheNames = this.cacheProperties.getCacheNames();
        if (!cacheNames.isEmpty()) {
            cacheManager.setCacheNames(cacheNames);
        }

        return (ConcurrentMapCacheManager)this.customizerInvoker.customize(cacheManager);
    }
}

  

6.3) SpringBoot-Redis缓存配置类

　　当Spring Boot 引入Redis的依赖后，Redis的这个配置类就起作用了，RedisCacheManager即通过此配置文件被Spring装载到Spring容器中，此时SimpleCacheConfiguration 自然就失效了，因为其类定义上标注着：@ConditionalOnMissingBean({CacheManager.class})

@Configuration
@ConditionalOnClass({RedisConnectionFactory.class})
@AutoConfigureAfter({RedisAutoConfiguration.class})
@ConditionalOnBean({RedisConnectionFactory.class})
@ConditionalOnMissingBean({CacheManager.class})  //当容器中没有CacheManager的时候生效
@Conditional({CacheCondition.class})
class RedisCacheConfiguration {
    private final CacheProperties cacheProperties;
    private final CacheManagerCustomizers customizerInvoker;
    private final org.springframework.data.redis.cache.RedisCacheConfiguration redisCacheConfiguration;

    RedisCacheConfiguration(CacheProperties cacheProperties, CacheManagerCustomizers customizerInvoker, ObjectProvider<org.springframework.data.redis.cache.RedisCacheConfiguration> redisCacheConfiguration) {
        this.cacheProperties = cacheProperties;
        this.customizerInvoker = customizerInvoker;
        this.redisCacheConfiguration = (org.springframework.data.redis.cache.RedisCacheConfiguration)redisCacheConfiguration.getIfAvailable();
    }
　　
 
    //向Spring容器中放入了一个定制的RedisCacheManager,正是它导致了SpringBoot默认缓存配置类：SimpleCacheConfiguration失效
    @Bean
    public RedisCacheManager cacheManager(RedisConnectionFactory redisConnectionFactory, ResourceLoader resourceLoader) {
        RedisCacheManagerBuilder builder = RedisCacheManager.builder(redisConnectionFactory).cacheDefaults(this.determineConfiguration(resourceLoader.getClassLoader()));
        List<String> cacheNames = this.cacheProperties.getCacheNames();
        if (!cacheNames.isEmpty()) {
            builder.initialCacheNames(new LinkedHashSet(cacheNames));
        }

        return (RedisCacheManager)this.customizerInvoker.customize(builder.build());
    }

    private org.springframework.data.redis.cache.RedisCacheConfiguration determineConfiguration(ClassLoader classLoader) {
        if (this.redisCacheConfiguration != null) {
            return this.redisCacheConfiguration;
        } else {
            Redis redisProperties = this.cacheProperties.getRedis();
            org.springframework.data.redis.cache.RedisCacheConfiguration config = org.springframework.data.redis.cache.RedisCacheConfiguration.defaultCacheConfig();
            config = config.serializeValuesWith(SerializationPair.fromSerializer(new JdkSerializationRedisSerializer(classLoader)));
            if (redisProperties.getTimeToLive() != null) {
                config = config.entryTtl(redisProperties.getTimeToLive());
            }

            if (redisProperties.getKeyPrefix() != null) {
                config = config.prefixKeysWith(redisProperties.getKeyPrefix());
            }

            if (!redisProperties.isCacheNullValues()) {
                config = config.disableCachingNullValues();
            }

            if (!redisProperties.isUseKeyPrefix()) {
                config = config.disableKeyPrefix();
            }

            return config;
        }
    }
}

7、自定义缓存管理器（Redis缓存配置类会失效吗？？？）

　　/**
     * 自定义缓存管理器
     * @param redisConnectionFactory
     * @param resourceLoader
     * @return
     */
    @Bean
    public RedisCacheManager cacheManager(RedisConnectionFactory redisConnectionFactory, ResourceLoader resourceLoader) {
        //redis加锁的写入器
        RedisCacheWriter writer = RedisCacheWriter.lockingRedisCacheWriter(redisConnectionFactory);


        //启动Redis缓存的默认设置
        RedisCacheConfiguration config = RedisCacheConfiguration.defaultCacheConfig(resourceLoader.getClassLoader());
        //设置JDK序列化器
        config = config.serializeKeysWith(RedisSerializationContext.SerializationPair.fromSerializer(new Jackson2JsonRedisSerializer(User.class)));

        //禁用前缀
        config = config.disableKeyPrefix();

        //设置10 min 超时
        config = config.entryTtl(Duration.ofMinutes(10));

        
        RedisCacheManager redisCacheManager = new RedisCacheManager(writer,config);

        return redisCacheManager;
    }