// Store in cache (use user_id as key) int *key = malloc(sizeof(int)); *key = user_id; g_hash_table_insert(handle_cache, key, new_entry);
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. handle-with-cache.c
// 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); // Store in cache (use user_id as key)
// handle-with-cache.c #include <stdio.h> #include <stdlib.h> #include <string.h> #include <glib.h> // Using GLib's hash table for simplicity typedef struct { int user_id; char *name; char *email; // ... other data } UserProfile; other data } UserProfile
UserProfile* get_user_profile_handle(int user_id) { pthread_mutex_lock(&cache_lock); // Check cache CacheEntry *entry = g_hash_table_lookup(handle_cache, &user_id); if (entry) { // Cache hit entry->ref_count++; entry->last_access = time(NULL); pthread_mutex_unlock(&cache_lock); printf("Cache hit for user %d\n", user_id); return entry->profile; }
pthread_mutex_unlock(&cache_lock); return profile; }
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.