redis实现缓存3-封装redis工具类

具体实现:
CacheClient
package com.hmdp.utils;
import cn.hutool.core.util.BooleanUtil;
import cn.hutool.core.util.StrUtil;
import cn.hutool.json.JSONObject;
import cn.hutool.json.JSONUtil;
import lombok.extern.slf4j.Slf4j;
import org.springframework.data.redis.core.StringRedisTemplate;
import org.springframework.stereotype.Component;
import java.time.LocalDateTime;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;
import java.util.concurrent.TimeUnit;
import java.util.function.Function;
import static com.hmdp.utils.RedisConstants.*;
@Slf4j
@Component
public class CacheClient {
private final StringRedisTemplate stringRedisTemplate;
public CacheClient(StringRedisTemplate stringRedisTemplate) {
this.stringRedisTemplate = stringRedisTemplate;
}
public void set(String key, Object value,Long time, TimeUnit unit) {
stringRedisTemplate.opsForValue().set(key, JSONUtil.toJsonStr(value), time, unit);
}
public void setWithLogicalExpire(String key, Object value,Long time, TimeUnit unit) {
// 设置逻辑过期
RedisData redisData = new RedisData();
redisData.setData(value);
redisData.setExpireTime(LocalDateTime.now().plusSeconds(unit.toSeconds(time)));
// 写入redis
stringRedisTemplate.opsForValue().set(key, JSONUtil.toJsonStr(redisData));
}
public <R,ID> R queryWithPassThrough(String keyPrefix, ID id, Class<R> type, Function<ID,R> dbFallback,Long time, TimeUnit unit){
// 1.从redis中查询商铺缓存
String key = keyPrefix + id;
String json = stringRedisTemplate.opsForValue().get(key);
// 2.判断是否存在
if(StrUtil.isNotBlank(json)){
// 3.存在,直接返回
return JSONUtil.toBean(json, type);
}
// 判断命中的是否是空值
if(json != null){
return null;
}
// 4.不存在,根据id查询数据库
R r = dbFallback.apply(id);
// 5.不存在,返回错误
if(r == null){
//将空值写入reids
stringRedisTemplate.opsForValue().set(key, "",CACHE_NULL_TTL, TimeUnit.MINUTES);
return null;
}
// 6.存在,写入redis
this.set(key, r, time, unit);
// 7.返回
return r;
}
private static final ExecutorService CACHE_REBUILD_EXECUTOR = Executors.newFixedThreadPool(10);
public <R,ID> R queryWithLogicalExpire(String keyPrefix,ID id,Class<R> type,Function<ID,R> dbFallback,Long time, TimeUnit unit){
// 1.从redis中查询商铺缓存
String key = keyPrefix + id;
String json = stringRedisTemplate.opsForValue().get(key);
// 2.判断是否存在
if(StrUtil.isBlank(json)){
// 3.存在,直接返回
return null;
}
// 4.命中,把json反序列化为对象
RedisData redisData = JSONUtil.toBean(json, RedisData.class);
R r = JSONUtil.toBean((JSONObject) redisData.getData(), type);
LocalDateTime expireTime = redisData.getExpireTime();
// 5.判断是否过期
if(expireTime.isAfter(LocalDateTime.now())){
// 5.1未过期,直接返回店铺信息
return r;
}
// 5.2过期,要缓存重建
// 6.重建缓存
// 6.1获取互斥锁
String lockKey = LOCK_SHOP_KEY +id;
boolean isLock = tryLock(lockKey);
// 6.2 判断是否获取锁成功
if(isLock){
// 6.3 成功,开启独立线程
CACHE_REBUILD_EXECUTOR.submit(()->{
try {
// 查询数据库
R r1 = dbFallback.apply(id);
// 写入redis
this.setWithLogicalExpire(key, r1, time, unit);
} catch (Exception e) {
throw new RuntimeException(e);
} finally {
//释放锁
unlock(lockKey);
}
});
}
// 6.4 返回过期的店铺信息
return r;
}
private boolean tryLock(String key){
Boolean flag = stringRedisTemplate.opsForValue().setIfAbsent(key, "1", 10, TimeUnit.SECONDS);
return BooleanUtil.isTrue(flag);
}
private void unlock(String key){
stringRedisTemplate.delete(key);
}
}
调用工具类:
@Override
public Result queryById(Long id) {
// 逻辑过期解决缓存击穿
Shop shop = cacheClient.queryWithLogicalExpire(CACHE_SHOP_KEY,id,Shop.class,this::getById,20L,TimeUnit.SECONDS);
// 缓存穿透
// Shop shop = cacheClient.queryWithPassThrough(CACHE_SHOP_KEY,id,Shop.class,this::getById,CACHE_SHOP_TTL,TimeUnit.MINUTES);
// 互斥锁解决缓存击穿
// Shop shop = queryWithMutex(id);
if (shop == null) {
return Result.fail("店铺不存在!");
}
// 7.返回
return Result.ok(shop);
}
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