// Cache miss - load the resource pthread_mutex_unlock(&cache_lock); // Unlock during I/O UserProfile *profile = load_user_profile_from_disk(user_id); pthread_mutex_lock(&cache_lock);

pthread_mutex_unlock(&cache_lock); } The cache_lock mutex protects the hash table, but note that get_handle() releases the lock during the actual load_user_profile_from_disk() call. This is crucial to avoid blocking all threads during I/O. However, it introduces a race condition where two threads might simultaneously miss the cache and both load the same resource.

A handle cache solves this by storing active handles in a key-value store after the first access. Subsequent requests bypass the expensive operation and return the cached handle directly. A well-written handle-with-cache.c typically contains four main sections: 1. The Handle and Cache Structures First, we define our handle type (opaque to the user) and the cache entry.

In systems programming, efficiency is paramount. Repeatedly opening, reading, or computing the same resource (a file, a network socket, a database row, or a complex calculation result) is wasteful. This is where caching becomes indispensable.

The module handle-with-cache.c exemplifies a classic design pattern: the . A "handle" is an opaque pointer or identifier to a resource, and the cache stores recently accessed handles to avoid redundant initialization or I/O operations.

GHashTableIter iter; gpointer key, value; g_hash_table_iter_init(&iter, handle_cache); while (g_hash_table_iter_next(&iter, &key, &value)) { CacheEntry *entry = value; if (entry->ref_count == 0 && (now - entry->last_access) > max_age_seconds) { to_remove = g_list_prepend(to_remove, key); } }