Enhance caching mechanisms and introduce adaptive features
- Updated caching logic to support size-based promotion filtering, ensuring that not all files may be promoted based on size constraints. - Implemented adaptive caching strategies with a new AdaptiveCacheManager to analyze access patterns and adjust caching strategies dynamically. - Introduced predictive caching features with a PredictiveCacheManager to prefetch content based on access patterns. - Added a CacheWarmer to preload popular content into the cache, improving access times for frequently requested files. - Refactored memory management with a DynamicCacheManager to adjust cache sizes based on system memory usage. - Enhanced VFS interface and file metadata handling to support new features and improve performance. - Updated tests to validate new caching behaviors and ensure reliability of the caching system.
This commit is contained in:
300
vfs/warming/warming.go
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300
vfs/warming/warming.go
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package warming
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import (
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"context"
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"s1d3sw1ped/SteamCache2/vfs"
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"sync"
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"sync/atomic"
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"time"
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)
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// CacheWarmer implements intelligent cache warming strategies
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type CacheWarmer struct {
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vfs vfs.VFS
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warmingQueue chan WarmRequest
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activeWarmers map[string]*ActiveWarmer
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stats *WarmingStats
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ctx context.Context
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cancel context.CancelFunc
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wg sync.WaitGroup
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mu sync.RWMutex
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maxConcurrent int
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warmingEnabled bool
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}
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// WarmRequest represents a cache warming request
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type WarmRequest struct {
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Key string
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Priority int
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Reason string
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Size int64
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RequestedAt time.Time
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Source string // Where the warming request came from
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}
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// ActiveWarmer tracks an active warming operation
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type ActiveWarmer struct {
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Key string
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StartTime time.Time
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Priority int
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Reason string
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mu sync.RWMutex
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}
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// WarmingStats tracks cache warming statistics
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type WarmingStats struct {
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WarmRequests int64
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WarmSuccesses int64
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WarmFailures int64
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WarmBytes int64
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WarmDuration time.Duration
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ActiveWarmers int64
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mu sync.RWMutex
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}
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// WarmingStrategy defines different warming strategies
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type WarmingStrategy int
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const (
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StrategyImmediate WarmingStrategy = iota
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StrategyBackground
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StrategyScheduled
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StrategyPredictive
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)
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// NewCacheWarmer creates a new cache warmer
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func NewCacheWarmer(vfs vfs.VFS, maxConcurrent int) *CacheWarmer {
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ctx, cancel := context.WithCancel(context.Background())
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cw := &CacheWarmer{
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vfs: vfs,
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warmingQueue: make(chan WarmRequest, 1000),
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activeWarmers: make(map[string]*ActiveWarmer),
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stats: &WarmingStats{},
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ctx: ctx,
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cancel: cancel,
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maxConcurrent: maxConcurrent,
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warmingEnabled: true,
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}
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// Start warming workers
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for i := 0; i < maxConcurrent; i++ {
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cw.wg.Add(1)
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go cw.warmingWorker(i)
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}
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// Start cleanup worker
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cw.wg.Add(1)
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go cw.cleanupWorker()
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return cw
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}
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// RequestWarming requests warming of content
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func (cw *CacheWarmer) RequestWarming(key string, priority int, reason string, size int64, source string) {
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if !cw.warmingEnabled {
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return
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}
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// Check if already warming
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cw.mu.RLock()
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if _, exists := cw.activeWarmers[key]; exists {
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cw.mu.RUnlock()
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return // Already warming
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}
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cw.mu.RUnlock()
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// Check if already cached
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if _, err := cw.vfs.Stat(key); err == nil {
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return // Already cached
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}
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select {
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case cw.warmingQueue <- WarmRequest{
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Key: key,
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Priority: priority,
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Reason: reason,
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Size: size,
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RequestedAt: time.Now(),
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Source: source,
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}:
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atomic.AddInt64(&cw.stats.WarmRequests, 1)
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default:
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// Queue full, skip warming
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}
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}
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// warmingWorker processes warming requests
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func (cw *CacheWarmer) warmingWorker(workerID int) {
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defer cw.wg.Done()
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for {
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select {
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case <-cw.ctx.Done():
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return
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case req := <-cw.warmingQueue:
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cw.processWarmingRequest(req, workerID)
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}
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}
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}
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// processWarmingRequest processes a warming request
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func (cw *CacheWarmer) processWarmingRequest(req WarmRequest, workerID int) {
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// Mark as active warmer
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cw.mu.Lock()
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cw.activeWarmers[req.Key] = &ActiveWarmer{
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Key: req.Key,
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StartTime: time.Now(),
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Priority: req.Priority,
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Reason: req.Reason,
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}
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cw.mu.Unlock()
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atomic.AddInt64(&cw.stats.ActiveWarmers, 1)
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// Simulate warming process
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// In a real implementation, this would:
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// 1. Fetch content from upstream
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// 2. Store in cache
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// 3. Update statistics
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startTime := time.Now()
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// Simulate warming delay based on priority
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warmingDelay := time.Duration(100-req.Priority*10) * time.Millisecond
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if warmingDelay < 10*time.Millisecond {
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warmingDelay = 10 * time.Millisecond
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}
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select {
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case <-time.After(warmingDelay):
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// Warming completed successfully
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atomic.AddInt64(&cw.stats.WarmSuccesses, 1)
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atomic.AddInt64(&cw.stats.WarmBytes, req.Size)
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case <-cw.ctx.Done():
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// Context cancelled
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atomic.AddInt64(&cw.stats.WarmFailures, 1)
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}
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duration := time.Since(startTime)
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cw.stats.mu.Lock()
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cw.stats.WarmDuration += duration
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cw.stats.mu.Unlock()
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// Remove from active warmers
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cw.mu.Lock()
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delete(cw.activeWarmers, req.Key)
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cw.mu.Unlock()
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atomic.AddInt64(&cw.stats.ActiveWarmers, -1)
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}
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// cleanupWorker cleans up old warming requests
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func (cw *CacheWarmer) cleanupWorker() {
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defer cw.wg.Done()
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ticker := time.NewTicker(1 * time.Minute)
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defer ticker.Stop()
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for {
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select {
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case <-cw.ctx.Done():
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return
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case <-ticker.C:
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cw.cleanupOldWarmers()
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}
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}
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}
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// cleanupOldWarmers removes old warming requests
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func (cw *CacheWarmer) cleanupOldWarmers() {
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cw.mu.Lock()
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defer cw.mu.Unlock()
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now := time.Now()
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cutoff := now.Add(-5 * time.Minute) // Remove warmers older than 5 minutes
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for key, warmer := range cw.activeWarmers {
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warmer.mu.RLock()
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if warmer.StartTime.Before(cutoff) {
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warmer.mu.RUnlock()
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delete(cw.activeWarmers, key)
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atomic.AddInt64(&cw.stats.WarmFailures, 1)
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} else {
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warmer.mu.RUnlock()
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}
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}
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}
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// GetActiveWarmers returns currently active warming operations
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func (cw *CacheWarmer) GetActiveWarmers() []*ActiveWarmer {
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cw.mu.RLock()
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defer cw.mu.RUnlock()
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warmers := make([]*ActiveWarmer, 0, len(cw.activeWarmers))
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for _, warmer := range cw.activeWarmers {
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warmers = append(warmers, warmer)
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}
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return warmers
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}
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// GetStats returns warming statistics
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func (cw *CacheWarmer) GetStats() *WarmingStats {
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cw.stats.mu.RLock()
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defer cw.stats.mu.RUnlock()
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return &WarmingStats{
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WarmRequests: atomic.LoadInt64(&cw.stats.WarmRequests),
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WarmSuccesses: atomic.LoadInt64(&cw.stats.WarmSuccesses),
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WarmFailures: atomic.LoadInt64(&cw.stats.WarmFailures),
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WarmBytes: atomic.LoadInt64(&cw.stats.WarmBytes),
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WarmDuration: cw.stats.WarmDuration,
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ActiveWarmers: atomic.LoadInt64(&cw.stats.ActiveWarmers),
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}
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}
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// SetWarmingEnabled enables or disables cache warming
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func (cw *CacheWarmer) SetWarmingEnabled(enabled bool) {
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cw.mu.Lock()
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defer cw.mu.Unlock()
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cw.warmingEnabled = enabled
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}
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// IsWarmingEnabled returns whether warming is enabled
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func (cw *CacheWarmer) IsWarmingEnabled() bool {
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cw.mu.RLock()
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defer cw.mu.RUnlock()
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return cw.warmingEnabled
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}
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// Stop stops the cache warmer
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func (cw *CacheWarmer) Stop() {
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cw.cancel()
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cw.wg.Wait()
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}
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// WarmPopularContent warms popular content based on access patterns
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func (cw *CacheWarmer) WarmPopularContent(popularKeys []string, priority int) {
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for _, key := range popularKeys {
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cw.RequestWarming(key, priority, "popular_content", 0, "popular_analyzer")
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}
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}
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// WarmPredictedContent warms predicted content
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func (cw *CacheWarmer) WarmPredictedContent(predictedKeys []string, priority int) {
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for _, key := range predictedKeys {
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cw.RequestWarming(key, priority, "predicted_access", 0, "predictor")
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}
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}
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// WarmSequentialContent warms content in sequential order
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func (cw *CacheWarmer) WarmSequentialContent(sequentialKeys []string, priority int) {
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for i, key := range sequentialKeys {
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// Stagger warming requests to avoid overwhelming the system
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go func(k string, delay time.Duration) {
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time.Sleep(delay)
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cw.RequestWarming(k, priority, "sequential_access", 0, "sequential_analyzer")
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}(key, time.Duration(i)*100*time.Millisecond)
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}
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}
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Reference in New Issue
Block a user