Always implement size constraints on caches to prevent memory leaks and performance degradation. Unbounded caches can grow continuously and consume excessive memory, especially in long-running applications.
Always implement size constraints on caches to prevent memory leaks and performance degradation. Unbounded caches can grow continuously and consume excessive memory, especially in long-running applications.
Key implementation practices:
Example implementation of a size-constrained cache:
// Cache with maximum size limit and LRU eviction
var cachedSecret = {};
var cacheQueue = [];
var maxCacheEntries = 50;
function addToCache(key, value) {
// If cache is full, remove oldest entry
if (cacheQueue.length >= maxCacheEntries) {
var oldestKey = cacheQueue.shift();
delete cachedSecret[oldestKey];
}
// Add new entry
cachedSecret[key] = value;
cacheQueue.push(key);
}
// Generate minimal but sufficient cache keys
function getCacheKey(request) {
// Only include required identifiers to keep cache size manageable
var identifiers = {};
// Add essential properties for uniqueness
// Omit unnecessary data to minimize cache size
return identifiers;
}
This approach prevents memory issues in applications that might generate many cache entries over time, while maintaining the performance benefits of caching.
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