// Remove stale entries for (GList *l = to_remove; l; l = l->next) { int *key = l->data; CacheEntry *entry = g_hash_table_lookup(handle_cache, key); free(entry->profile->name); free(entry->profile->email); free(entry->profile); free(entry); g_hash_table_remove(handle_cache, key); free(key); } g_list_free(to_remove);
This article breaks down the key components, implementation strategies, and concurrency considerations for building a robust handle cache in C. Imagine a function get_user_profile(user_id) that reads a large JSON file from disk or queries a database. If your application needs this profile multiple times per second, disk I/O or network latency becomes a bottleneck. handle-with-cache.c
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. // Remove stale entries for (GList *l =
// The cache itself (often a global or passed context) static GHashTable *handle_cache = NULL; static pthread_mutex_t cache_lock = PTHREAD_MUTEX_INITIALIZER; This function does the actual heavy lifting – creating a handle from scratch. The module handle-with-cache
// Create new cache entry CacheEntry *new_entry = malloc(sizeof(CacheEntry)); new_entry->profile = profile; new_entry->last_access = time(NULL); new_entry->ref_count = 1;