Read and write lock
Read and write locks can effectively solve the problem of cache consistency. In scenarios where more reads and less writes, using read and write locks can improve the efficiency of concurrent access and ensure the consistency of caches. The specific implementation plan is as follows:
- Introducing redis dependencies in SpringBoot project.
- Defines a cache class that encapsulates read and write operations to the redis cache. At the same time, this class needs to maintain a read and write lock.
@Component
public class RedisCache {
private static final String CACHE_PREFIX = "my-cache:";
private final RedisTemplate<String, Object> redisTemplate;
private final ReadWriteLock readWriteLock;
public RedisCache(RedisTemplate<String, Object> redisTemplate) {
= redisTemplate;
= new ReentrantReadWriteLock();
}
public Object get(String key) {
().lock();
try {
return ().get(CACHE_PREFIX + key);
} finally {
().unlock();
}
}
public void set(String key, Object value) {
().lock();
try {
().set(CACHE_PREFIX + key, value);
} finally {
().unlock();
}
}
public void delete(String key) {
().lock();
try {
(CACHE_PREFIX + key);
} finally {
().unlock();
}
}
}
- Use this cache class in business logic for cache read and write operations.
@Service
public class UserService {
private final RedisCache redisCache;
public UserService(RedisCache redisCache) {
= redisCache;
}
public User getUserById(Long userId) {
String key = "user:" + userId;
User user = (User) (key);
if (user == null) {
// Query user information from the database user = (userId);
// Write user information to cache (key, user);
}
return user;
}
public void updateUser(User user) {
String key = "user:" + ();
// Delete the cached user information first (key);
// Update user information in the database (user);
}
}
In the above example, we used read and write locks to ensure cache consistency. When reading cached data, use a read lock to achieve concurrent reading. When writing cached data, a write lock is used to lock to ensure the atomicity of the write operation.
It should be noted that read and write locks can only ensure cache consistency in a single application. If multiple applications share the same cache, a distributed lock needs to be used to ensure the consistency of the cache.
At the same time, in high concurrency scenarios, using read and write locks will bring certain performance overhead. Therefore, it is necessary to evaluate whether a read-write lock is used based on actual conditions.
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