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1.Redis面试题-缓存穿透,缓存击穿,缓存雪崩
1 穿透: 两边都不存在（皇帝的新装） （返回空值）（互斥锁）（黑名单） （布隆过滤器）
2 击穿：一个或多个热点的key失效了，这时大量的并发请求直接到达数据库. （提前预热）
3 雪崩：大量key同时失效 （避免大量的key同一时间失效，错峰）
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2.Spring是如何集成Redis的？
Spring Data Redis
<dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-data-redis</artifactId></dependency> <dependency><groupId>org.apache.commons</groupId><artifactId>commons-pool2</artifactId></dependency>
3.高级封装
4.Redis配置
Spring.Redis常用配置参数有哪些。
# Redis服务器地址
spring.redis.host=10.1.30.222
# Redis数据库索引（默认为0）
spring.redis.database=0
# 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=
## 连接超时时间（毫秒）
spring.redis.timeout=30000
# 连接池最大连接数（使用负值表示没有限制） 默认 8
spring.redis.lettuce.pool.max-active=8
# 连接池中的最大空闲连接 默认 8
spring.redis.lettuce.pool.max-idle=8
# 连接池中的最小空闲连接 默认 0
spring.redis.lettuce.pool.min-idle=1
#连接池中最大空闲等待时间，3s没有活干的时候直接驱逐该链接
spring.redis.lettuce.pool.min-evictable-idle-time-millis = 3000
# 连接池最大阻塞等待时间（使用负值表示没有限制） 默认 -1
spring.redis.lettuce.pool.max-wait=-15.StringRedisTemplate
String
@Autowiredprivate StringRedisTemplate stringRedisTemplate;private final String key = "zhengzhou";public void test() {stringRedisTemplate.opsForValue().set(key, "我的家乡", 30, TimeUnit.SECONDS);String value = stringRedisTemplate.opsForValue().get(key);System.out.println(value);}Hash
@Autowiredprivate StringRedisTemplate stringRedisTemplate;private final String key ="zhouxingxing";public void test(){stringRedisTemplate.opsForHash().put(key,"20220325","郑州");stringRedisTemplate.opsForHash().put(key,"20220326","洛阳");List<Object> values = stringRedisTemplate.opsForHash().values(key);for (Object value:values){System.out.println(value);}}List
@Autowiredprivate StringRedisTemplate stringRedisTemplate;private final String key ="onewayroad";void test(){stringRedisTemplate.opsForList().leftPush(key,"周星星");stringRedisTemplate.opsForList().leftPush(key,"张敏");stringRedisTemplate.opsForList().leftPush(key,"李大锤");String value = stringRedisTemplate.opsForList().rightPop(key);System.out.println(value);}
}@Testvoid test6() {// 如果一些原生命令，spring 没有给我们封装，redisTemplate.execute（new RedisCallback）while (true){System.out.println("开始一轮监听");List<byte[]> rawResults = redisTemplateProduct.execute(new RedisCallback<List<byte[]>>() {@Overridepublic List<byte[]> doInRedis(RedisConnection connection) throws DataAccessException {return connection.bRPop(5,"product.hot".getBytes());}});if(ObjUtil.isNotEmpty(rawResults)){byte[] rawKey = rawResults.get(0);byte[] rawValue = rawResults.get(1);Product product = (Product)redisTemplateProduct.getValueSerializer().deserialize(rawValue);System.out.println(product);}}Set
@Component
public class SetDemo {@Autowiredprivate StringRedisTemplate stringRedisTemplate;private final String zhouxingxing ="zhouxingxing";private final String zhangmin = "zhangming";public void test(){//添加周星星同学感兴趣的科目stringRedisTemplate.opsForSet().add(zhouxingxing,"语文");stringRedisTemplate.opsForSet().add(zhouxingxing,"数学");stringRedisTemplate.opsForSet().add(zhouxingxing,"数学");//添加张敏同学感兴趣的科目stringRedisTemplate.opsForSet().add(zhangmin,"数学");stringRedisTemplate.opsForSet().add(zhangmin,"英语");//获取两位同学共同感兴趣的科目Set<String> values = stringRedisTemplate.opsForSet().intersect(zhouxingxing, zhangmin);System.out.println("周星星和张敏共同感兴趣的科目为：");for(String value : values){System.out.println(value);}}
}
ZSet
@Component
public class ZSetDemo {@Autowiredprivate StringRedisTemplate stringRedisTemplate;private final String key ="zhouxingxing";public void test(){//添加周星星同学成绩stringRedisTemplate.opsForZSet().add(key,"语文",98);stringRedisTemplate.opsForZSet().add(key,"数学",87);stringRedisTemplate.opsForZSet().add(key,"英语",75);//获取分数最高的成绩ZSetOperations.TypedTuple<String> values = stringRedisTemplate.opsForZSet().popMax(key);//打印值System.out.println("周星星最好成绩科目是："+values.getValue());System.out.println("周星星最好成绩："+values.getScore());}
}6.RedisTemplate<T,V>泛型约束
6.1泛型约束的使用
@Component
public class RedisTemplateDemo {@Autowiredprivate StringRedisTemplate stringRedisTemplate;@Resourceprivate RedisTemplate<String, User> redisTemplate;@Resource(name="redisTemplate")private ValueOperations<String,User> valueOperations;private final String key = "useris#01";public void test() {User user = User.builder().id(1).name("李四").build();redisTemplate.opsForValue().set(key,user );User value = redisTemplate.opsForValue().get(key);valueOperations.set(key,user );User value2 = valueOperations.get(key);System.out.println(value);}
}6.2乱码的问题
JdkSerializationRedisSerializer serializer = new JdkSerializationRedisSerializer();byte[] serialize = serializer.serialize("user.01");System.out.println(new String(serialize));
6.3自定义序列化工具
@Configuration
public class RedisConfig {@Beanpublic RedisTemplate<Object, Object> redisTemplate(RedisConnectionFactory redisConnectionFactory) {RedisTemplate<Object, Object> template = new RedisTemplate<>();template.setConnectionFactory(redisConnectionFactory);Jackson2JsonRedisSerializer jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer(Object.class);ObjectMapper objectMapper = new ObjectMapper();// 序列化的时候，自动推断类型，将类型信息作为属性写入JSON// 反序列化时候，根据类型的全类名，序列化成对应的对象实例objectMapper.activateDefaultTyping(objectMapper.getPolymorphicTypeValidator(), ObjectMapper.DefaultTyping.NON_FINAL);jackson2JsonRedisSerializer.setObjectMapper(objectMapper);//普通key序列化工具template.setKeySerializer(RedisSerializer.string());template.setValueSerializer(jackson2JsonRedisSerializer);//hash 小key 序列化工具template.setHashKeySerializer(RedisSerializer.string());template.setHashValueSerializer(jackson2JsonRedisSerializer);return template;}}
7. 直接使用ListOperations、ValueOperations、SetOperations、ZSetOperations、HashOperations接口
在Spring Data Redis中，提供了丰富的模板操作接口，
如
ListOperations、ValueOperations、SetOperations、ZSetOperations、HashOperations这些都是
RedisTemplate的子接口，用于针对不同类型的Redis数据结构进行操作
REDIS 注释 redistemplate注入_mob6454cc6f4a4e的技术博客_51CTO博客
