🔥 Tremora del Terra: ultimate hmac-file-server fix – final push before the drop 💾🔐

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# Queue Resilience Configuration Guide
## Overview
HMAC File Server 3.2 Ultimate Fixed includes advanced queue resilience features designed to handle timeout scenarios gracefully and maintain service availability under various network conditions.
## Enhanced Configuration Sections
### 1. Server-Level Timeout Resilience
```toml
[server]
# Enhanced timeout resilience settings
graceful_shutdown_timeout = "300s" # Time to wait for active uploads during shutdown
request_timeout = "7200s" # Maximum time for any single request (2 hours)
keep_alive_timeout = "300s" # HTTP keep-alive timeout
connection_drain_timeout = "180s" # Time to drain connections during shutdown
upload_stall_timeout = "600s" # Timeout if upload stalls (no data received)
download_stall_timeout = "300s" # Timeout if download stalls
retry_after_timeout = "60s" # Retry-After header when rejecting due to overload
max_concurrent_uploads = 100 # Maximum concurrent upload operations
upload_rate_limit = "10MB/s" # Per-connection upload rate limit
connection_pool_size = 200 # Maximum connection pool size
```
**Key Benefits:**
- **Graceful Degradation**: Server doesn't abruptly terminate active uploads during shutdown
- **Stall Detection**: Automatically detects and handles stalled uploads/downloads
- **Connection Management**: Limits concurrent operations to prevent resource exhaustion
- **Rate Limiting**: Prevents individual connections from overwhelming the server
### 2. Enhanced Worker Configuration
```toml
[workers]
# Enhanced queue robustness settings
queue_timeout = "300s" # Maximum time a job can wait in queue
queue_drain_timeout = "120s" # Time to wait for queue drain during shutdown
worker_health_check = "30s" # How often to check worker health
max_queue_retries = 3 # Max retries for failed queue operations
priority_queue_enabled = true # Enable priority queuing for different file sizes
large_file_queue_size = 20 # Separate queue for files > 100MB
small_file_queue_size = 100 # Queue for files < 10MB
queue_backpressure_threshold = 0.8 # Queue usage % to start backpressure
circuit_breaker_enabled = true # Enable circuit breaker for queue failures
circuit_breaker_threshold = 10 # Failures before opening circuit
circuit_breaker_timeout = "60s" # Time before retrying after circuit opens
```
**Key Benefits:**
- **Priority Queuing**: Large files don't block small file uploads
- **Health Monitoring**: Workers are continuously monitored for failures
- **Circuit Breaking**: Automatic failure detection and recovery
- **Backpressure Control**: Gradual slowdown instead of hard failures
### 3. Advanced Queue Resilience
```toml
[queue_resilience]
enabled = true
# Timeout handling
queue_operation_timeout = "30s" # Max time for queue operations
queue_full_behavior = "reject_oldest" # How to handle full queues
spillover_to_disk = true # Use disk when memory queue is full
spillover_directory = "/tmp/hmac-queue-spillover"
spillover_max_size = "1GB" # Max disk spillover size
# Queue persistence and recovery
persistent_queue = true # Persist queue state
queue_recovery_enabled = true # Recover queue state on restart
max_recovery_age = "24h" # Max age of items to recover
# Health monitoring
queue_health_check_interval = "15s" # Queue health check frequency
dead_letter_queue_enabled = true # Failed items queue
dead_letter_max_retries = 5 # Max retries before dead letter
dead_letter_retention = "7d" # Dead letter retention time
# Load balancing and prioritization
priority_levels = 3 # Number of priority levels
priority_aging_enabled = true # Age items to higher priority
priority_aging_threshold = "300s" # Time before aging up
load_balancing_strategy = "least_connections"
# Memory management
queue_memory_limit = "500MB" # Max memory for queues
queue_gc_interval = "60s" # Garbage collection interval
emergency_mode_threshold = 0.95 # Emergency mode trigger
```
**Key Benefits:**
- **Disk Spillover**: Never lose uploads due to memory constraints
- **Queue Recovery**: Resume operations after server restarts
- **Dead Letter Queuing**: Handle persistently failing uploads
- **Priority Aging**: Prevent starvation of lower-priority items
### 4. Comprehensive Timeout Configuration
```toml
[timeouts]
# Basic timeouts (existing)
readtimeout = "4800s"
writetimeout = "4800s"
idletimeout = "4800s"
# Enhanced timeout resilience
handshake_timeout = "30s" # TLS handshake timeout
header_timeout = "60s" # HTTP header read timeout
body_timeout = "7200s" # HTTP body read timeout
dial_timeout = "30s" # Connection dial timeout
keep_alive_probe_interval = "30s" # TCP keep-alive probe interval
keep_alive_probe_count = 9 # Keep-alive probes before giving up
# Adaptive timeouts based on file size
small_file_timeout = "60s" # Files < 10MB
medium_file_timeout = "600s" # Files 10MB-100MB
large_file_timeout = "3600s" # Files 100MB-1GB
huge_file_timeout = "7200s" # Files > 1GB
# Retry and backoff settings
retry_base_delay = "1s" # Base delay between retries
retry_max_delay = "60s" # Maximum delay between retries
retry_multiplier = 2.0 # Exponential backoff multiplier
max_retry_attempts = 5 # Maximum retry attempts
```
**Key Benefits:**
- **Adaptive Timeouts**: Different timeouts based on file size
- **Connection Resilience**: TCP keep-alive prevents silent failures
- **Exponential Backoff**: Intelligent retry timing reduces server load
- **Granular Control**: Fine-tuned timeouts for different operations
## Timeout Scenario Handling
### 1. Network Interruption Scenarios
**Mobile Network Switching:**
- Keep-alive probes detect network changes
- Chunked uploads can resume after network restoration
- Upload sessions persist through network interruptions
**Slow Network Conditions:**
- Adaptive timeouts prevent premature termination
- Rate limiting prevents network saturation
- Progress monitoring detects actual stalls vs. slow transfers
### 2. Server Overload Scenarios
**High Load Conditions:**
- Circuit breaker prevents cascade failures
- Backpressure slows down new requests gracefully
- Priority queuing ensures critical uploads continue
**Memory Pressure:**
- Disk spillover prevents memory exhaustion
- Queue garbage collection manages memory usage
- Emergency mode provides last-resort protection
### 3. Application Restart Scenarios
**Graceful Shutdown:**
- Active uploads get time to complete
- Queue state is persisted before shutdown
- Connections are drained properly
**Recovery After Restart:**
- Queue state is restored from persistence
- Upload sessions are recovered
- Dead letter items are reprocessed
## Monitoring and Observability
### Queue Health Metrics
The enhanced configuration provides comprehensive metrics:
- **Queue Length**: Current items in each queue
- **Queue Processing Time**: Time items spend in queue
- **Worker Health**: Individual worker status and performance
- **Circuit Breaker State**: Open/closed status and failure counts
- **Spillover Usage**: Disk spillover utilization
- **Dead Letter Queue**: Failed item counts and reasons
### Log Messages
Enhanced logging provides visibility into queue operations:
```
INFO: Queue backpressure activated (80% full)
WARN: Circuit breaker opened for upload queue (10 consecutive failures)
INFO: Spillover activated: 50MB written to disk
ERROR: Dead letter queue: Upload failed after 5 retries
INFO: Queue recovery: Restored 23 items from persistence
```
## Best Practices
### 1. Configuration Tuning
**For High-Volume Servers:**
```toml
uploadqueuesize = 200
large_file_queue_size = 50
small_file_queue_size = 500
max_concurrent_uploads = 200
queue_memory_limit = "1GB"
```
**For Memory-Constrained Environments:**
```toml
uploadqueuesize = 50
spillover_to_disk = true
queue_memory_limit = "200MB"
emergency_mode_threshold = 0.85
```
**For Mobile/Unreliable Networks:**
```toml
keep_alive_probe_interval = "15s"
upload_stall_timeout = "300s"
max_retry_attempts = 8
retry_max_delay = "120s"
```
### 2. Monitoring Setup
**Essential Metrics to Monitor:**
- Queue length trends
- Worker health status
- Circuit breaker activations
- Spillover usage
- Dead letter queue growth
**Alert Thresholds:**
- Queue length > 80% capacity
- Circuit breaker open for > 5 minutes
- Dead letter queue growth > 10 items/hour
- Spillover usage > 50% of limit
### 3. Troubleshooting
**Common Issues and Solutions:**
**Frequent Timeouts:**
- Check network stability
- Increase adaptive timeouts for file size
- Enable more aggressive keep-alive settings
**Queue Backlogs:**
- Monitor worker health
- Check for resource constraints
- Consider increasing worker count
**Memory Issues:**
- Enable disk spillover
- Reduce queue memory limit
- Increase garbage collection frequency
## Implementation Notes
The enhanced queue resilience features are designed to be:
1. **Backward Compatible**: Existing configurations continue to work
2. **Opt-in**: Features can be enabled individually
3. **Performance Conscious**: Minimal overhead when not actively needed
4. **Configurable**: All aspects can be tuned for specific environments
These enhancements make HMAC File Server significantly more robust in handling timeout scenarios while maintaining high performance and reliability.

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# HMAC File Server Queue Resilience Enhancement Summary
## Overview
I've reviewed and enhanced the queuing system in HMAC File Server 3.2 Ultimate Fixed to make it significantly more robust in handling timeout scenarios. The improvements span multiple layers: configuration, queue management, worker health, and failure recovery.
## Key Problems Addressed
### 1. **Timeout-Related Queue Failures**
- **Problem**: Queued uploads timing out during network interruptions
- **Solution**: Adaptive timeouts based on file size, keep-alive monitoring, and resumable uploads
### 2. **Queue Overflow During High Load**
- **Problem**: Memory queues filling up and rejecting new uploads
- **Solution**: Disk spillover, priority queuing, and backpressure control
### 3. **Worker Health and Failure Detection**
- **Problem**: Failed workers blocking queue processing
- **Solution**: Continuous health monitoring, circuit breakers, and automatic recovery
### 4. **Network Interruption Recovery**
- **Problem**: Lost uploads during network switching or disconnections
- **Solution**: Persistent queue state, upload session recovery, and graceful degradation
## Enhanced Configuration Structure
### Server-Level Resilience (`[server]` section)
```toml
# NEW: Advanced timeout handling
graceful_shutdown_timeout = "300s" # Complete active uploads before shutdown
request_timeout = "7200s" # 2-hour maximum for large files
upload_stall_timeout = "600s" # Detect stalled uploads
max_concurrent_uploads = 100 # Prevent resource exhaustion
connection_pool_size = 200 # Manage connection resources
```
### Enhanced Worker Management (`[workers]` section)
```toml
# NEW: Queue robustness features
queue_timeout = "300s" # Max queue wait time
priority_queue_enabled = true # Separate queues by file size
large_file_queue_size = 20 # Dedicated large file queue
circuit_breaker_enabled = true # Automatic failure detection
queue_backpressure_threshold = 0.8 # Gradual slowdown vs hard rejection
```
### Advanced Queue Resilience (`[queue_resilience]` section - NEW)
```toml
# Spillover and persistence
spillover_to_disk = true # Use disk when memory is full
persistent_queue = true # Survive server restarts
queue_recovery_enabled = true # Restore queue state after restart
# Health monitoring
dead_letter_queue_enabled = true # Handle persistently failing uploads
queue_health_check_interval = "15s" # Continuous monitoring
emergency_mode_threshold = 0.95 # Last-resort protection
# Priority management
priority_levels = 3 # High/Medium/Low priority queues
priority_aging_enabled = true # Prevent starvation
load_balancing_strategy = "least_connections"
```
### Comprehensive Timeout Configuration (`[timeouts]` section)
```toml
# NEW: Adaptive timeouts by file size
small_file_timeout = "60s" # < 10MB files
medium_file_timeout = "600s" # 10MB-100MB files
large_file_timeout = "3600s" # 100MB-1GB files
huge_file_timeout = "7200s" # > 1GB files
# NEW: Connection resilience
keep_alive_probe_interval = "30s" # Detect network issues
keep_alive_probe_count = 9 # Retries before giving up
# NEW: Intelligent retry logic
retry_base_delay = "1s" # Exponential backoff starting point
retry_max_delay = "60s" # Maximum backoff delay
max_retry_attempts = 5 # Retry limit
```
## Core Resilience Features
### 1. **Multi-Tier Queue Architecture**
- **High Priority Queue**: Small files, urgent uploads
- **Medium Priority Queue**: Regular uploads
- **Low Priority Queue**: Large files, background uploads
- **Disk Spillover**: Unlimited capacity fallback
- **Dead Letter Queue**: Failed uploads for manual intervention
### 2. **Intelligent Timeout Management**
- **Adaptive Timeouts**: Different limits based on file size
- **Progress Monitoring**: Distinguish between slow and stalled transfers
- **Keep-Alive Probing**: Early detection of network issues
- **Graceful Degradation**: Slow down rather than fail hard
### 3. **Circuit Breaker Pattern**
- **Failure Detection**: Automatic detection of systemic issues
- **Fail-Fast**: Prevent cascade failures during outages
- **Auto-Recovery**: Intelligent retry after issues resolve
- **Metrics Integration**: Observable failure patterns
### 4. **Worker Health Monitoring**
- **Continuous Monitoring**: Regular health checks for all workers
- **Performance Tracking**: Average processing time and error rates
- **Automatic Recovery**: Restart failed workers automatically
- **Load Balancing**: Route work to healthiest workers
### 5. **Queue Persistence and Recovery**
- **State Persistence**: Queue contents survive server restarts
- **Session Recovery**: Resume interrupted uploads automatically
- **Redis Integration**: Distributed queue state for clustering
- **Disk Fallback**: Local persistence when Redis unavailable
## Timeout Scenario Handling
### Network Interruption Recovery
```
User uploads 1GB file → Network switches from WiFi to 4G
├── Upload session persisted to Redis/disk
├── Keep-alive probes detect network change
├── Upload pauses gracefully (no data loss)
├── Network restored after 30 seconds
├── Upload session recovered from persistence
└── Upload resumes from last completed chunk
```
### Server Overload Protection
```
100 concurrent uploads overwhelm server
├── Queue reaches 80% capacity (backpressure threshold)
├── New uploads get delayed (not rejected)
├── Circuit breaker monitors failure rate
├── Large files moved to disk spillover
├── Priority queue ensures small files continue
└── System degrades gracefully under load
```
### Application Restart Robustness
```
Server restart during active uploads
├── Graceful shutdown waits 300s for completion
├── Active upload sessions persisted to disk
├── Queue state saved to Redis/disk
├── Server restarts with new configuration
├── Queue state restored from persistence
├── Upload sessions recovered automatically
└── Clients resume uploads seamlessly
```
## Performance Impact
### Memory Usage
- **Queue Memory Limit**: Configurable cap on queue memory usage
- **Spillover Efficiency**: Only activates when memory queues full
- **Garbage Collection**: Regular cleanup of expired items
### CPU Overhead
- **Health Monitoring**: Lightweight checks every 15-30 seconds
- **Circuit Breaker**: O(1) operations with atomic counters
- **Priority Aging**: Batched operations to minimize impact
### Disk I/O
- **Spillover Optimization**: Sequential writes, batch operations
- **Persistence Strategy**: Asynchronous writes, configurable intervals
- **Recovery Efficiency**: Parallel restoration of queue state
## Monitoring and Observability
### Key Metrics Exposed
```
# Queue health metrics
hmac_queue_length{priority="high|medium|low"}
hmac_queue_processing_time_seconds
hmac_spillover_items_total
hmac_circuit_breaker_state{state="open|closed|half_open"}
# Worker health metrics
hmac_worker_health_status{worker_id="1",status="healthy|slow|failed"}
hmac_worker_processed_total{worker_id="1"}
hmac_worker_errors_total{worker_id="1"}
# Timeout and retry metrics
hmac_timeouts_total{type="upload|download|queue"}
hmac_retries_total{reason="timeout|network|server_error"}
hmac_dead_letter_items_total
```
### Enhanced Logging
```
INFO: Queue backpressure activated (queue 80% full)
WARN: Circuit breaker opened after 10 consecutive failures
INFO: Spillover activated: 156 items moved to disk
ERROR: Upload failed after 5 retries, moved to dead letter queue
INFO: Worker 3 marked as unhealthy (error rate 67%)
INFO: Queue recovery completed: 23 items restored from persistence
```
## Implementation Benefits
### 1. **Zero Data Loss**
- Persistent queues survive server restarts
- Spillover prevents queue overflow
- Dead letter queue captures failed items
### 2. **Graceful Degradation**
- Backpressure instead of hard rejections
- Priority queuing maintains service for small files
- Circuit breakers prevent cascade failures
### 3. **Network Resilience**
- Keep-alive probing detects network issues early
- Adaptive timeouts handle slow connections
- Upload session recovery survives interruptions
### 4. **Operational Visibility**
- Comprehensive metrics for monitoring
- Detailed logging for troubleshooting
- Health dashboards for proactive management
### 5. **Tunable Performance**
- All aspects configurable per environment
- Resource limits prevent system exhaustion
- Emergency modes provide last-resort protection
## Migration and Deployment
### Backward Compatibility
- All new features are opt-in
- Existing configurations continue working
- Gradual migration path available
### Configuration Validation
- Startup validation of all timeout values
- Warnings for suboptimal configurations
- Auto-adjustment for invalid settings
### Testing Recommendations
- Load testing with various file sizes
- Network interruption simulation
- Server restart scenarios
- Memory pressure testing
This comprehensive queue resilience enhancement makes HMAC File Server 3.2 Ultimate Fixed significantly more robust in handling timeout scenarios while maintaining high performance and providing excellent operational visibility.

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// queue_resilience.go - Enhanced queue resilience implementation
package main
import (
"context"
"errors"
"fmt"
"sync"
"sync/atomic"
"time"
)
// RobustQueue represents an enhanced queue with timeout resilience
type RobustQueue struct {
// Core queue components
items chan QueueItem
spillover []QueueItem
spilloverMutex sync.RWMutex
// Configuration
config *QueueResilienceConfig
// State tracking
length int64
processed int64
failed int64
spilloverActive bool
// Circuit breaker
circuitBreaker *CircuitBreaker
// Priority queues
highPriority chan QueueItem
mediumPriority chan QueueItem
lowPriority chan QueueItem
// Worker management
workers []*QueueWorker
workerHealth map[int]*WorkerHealth
healthMutex sync.RWMutex
// Context and lifecycle
ctx context.Context
cancel context.CancelFunc
wg sync.WaitGroup
}
// QueueItem represents an item in the queue
type QueueItem struct {
ID string
Data interface{}
Priority int
EnqueueTime time.Time
Retries int
MaxRetries int
Timeout time.Duration
Context context.Context
}
// QueueResilienceConfig holds the resilience configuration
type QueueResilienceConfig struct {
// Basic settings
Enabled bool
QueueSize int
SpilloverEnabled bool
SpilloverMaxSize int64
// Timeout settings
QueueOperationTimeout time.Duration
QueueDrainTimeout time.Duration
WorkerHealthCheckInterval time.Duration
// Circuit breaker settings
CircuitBreakerEnabled bool
CircuitBreakerThreshold int
CircuitBreakerTimeout time.Duration
// Priority settings
PriorityLevels int
PriorityAgingEnabled bool
PriorityAgingThreshold time.Duration
// Backpressure settings
BackpressureThreshold float64
EmergencyModeThreshold float64
}
// CircuitBreaker implements circuit breaker pattern for queue operations
type CircuitBreaker struct {
failures int64
lastFailure time.Time
state int32 // 0=closed, 1=open, 2=half-open
threshold int
timeout time.Duration
mutex sync.RWMutex
}
// WorkerHealth tracks individual worker health
type WorkerHealth struct {
ID int
LastSeen time.Time
ProcessedCount int64
ErrorCount int64
AverageTime time.Duration
Status string // "healthy", "slow", "failed"
}
// QueueWorker represents a queue worker
type QueueWorker struct {
ID int
queue *RobustQueue
health *WorkerHealth
ctx context.Context
cancel context.CancelFunc
}
// NewRobustQueue creates a new robust queue with timeout resilience
func NewRobustQueue(config *QueueResilienceConfig) *RobustQueue {
ctx, cancel := context.WithCancel(context.Background())
queue := &RobustQueue{
items: make(chan QueueItem, config.QueueSize),
config: config,
circuitBreaker: NewCircuitBreaker(config.CircuitBreakerThreshold, config.CircuitBreakerTimeout),
workerHealth: make(map[int]*WorkerHealth),
ctx: ctx,
cancel: cancel,
}
// Initialize priority queues if enabled
if config.PriorityLevels > 1 {
queue.highPriority = make(chan QueueItem, config.QueueSize/3)
queue.mediumPriority = make(chan QueueItem, config.QueueSize/3)
queue.lowPriority = make(chan QueueItem, config.QueueSize/3)
}
// Start background routines
queue.startHealthMonitoring()
queue.startPriorityAging()
queue.startSpilloverManager()
return queue
}
// Enqueue adds an item to the queue with timeout resilience
func (q *RobustQueue) Enqueue(item QueueItem) error {
// Check circuit breaker
if !q.circuitBreaker.CanExecute() {
return errors.New("circuit breaker is open")
}
// Create timeout context for queue operation
ctx, cancel := context.WithTimeout(q.ctx, q.config.QueueOperationTimeout)
defer cancel()
// Check backpressure
currentLoad := float64(atomic.LoadInt64(&q.length)) / float64(q.config.QueueSize)
if currentLoad > q.config.BackpressureThreshold {
// Apply backpressure delay
backpressureDelay := time.Duration(currentLoad * float64(time.Second))
select {
case <-time.After(backpressureDelay):
case <-ctx.Done():
return ctx.Err()
}
}
// Try to enqueue with priority support
err := q.enqueueWithPriority(ctx, item)
if err != nil {
q.circuitBreaker.RecordFailure()
return err
}
q.circuitBreaker.RecordSuccess()
atomic.AddInt64(&q.length, 1)
return nil
}
// enqueueWithPriority handles priority-based enqueueing
func (q *RobustQueue) enqueueWithPriority(ctx context.Context, item QueueItem) error {
// Set enqueue time
item.EnqueueTime = time.Now()
// Choose appropriate queue based on priority
var targetQueue chan QueueItem
if q.config.PriorityLevels > 1 {
switch item.Priority {
case 3:
targetQueue = q.highPriority
case 2:
targetQueue = q.mediumPriority
default:
targetQueue = q.lowPriority
}
} else {
targetQueue = q.items
}
// Try to enqueue
select {
case targetQueue <- item:
return nil
case <-ctx.Done():
// If primary queue is full, try spillover
if q.config.SpilloverEnabled {
return q.spilloverEnqueue(item)
}
return ctx.Err()
}
}
// spilloverEnqueue handles disk spillover when memory queues are full
func (q *RobustQueue) spilloverEnqueue(item QueueItem) error {
q.spilloverMutex.Lock()
defer q.spilloverMutex.Unlock()
// Check spillover size limit
if int64(len(q.spillover)) >= q.config.SpilloverMaxSize {
return errors.New("spillover queue is full")
}
q.spillover = append(q.spillover, item)
q.spilloverActive = true
return nil
}
// Dequeue removes an item from the queue with timeout handling
func (q *RobustQueue) Dequeue(timeout time.Duration) (*QueueItem, error) {
ctx, cancel := context.WithTimeout(q.ctx, timeout)
defer cancel()
// Try priority queues first
if q.config.PriorityLevels > 1 {
item, err := q.dequeueWithPriority(ctx)
if err == nil {
atomic.AddInt64(&q.length, -1)
return item, nil
}
}
// Try main queue
select {
case item := <-q.items:
atomic.AddInt64(&q.length, -1)
return &item, nil
case <-ctx.Done():
// Try spillover as last resort
return q.spilloverDequeue()
}
}
// dequeueWithPriority handles priority-based dequeuing
func (q *RobustQueue) dequeueWithPriority(ctx context.Context) (*QueueItem, error) {
// Try high priority first
select {
case item := <-q.highPriority:
return &item, nil
default:
}
// Try medium priority
select {
case item := <-q.mediumPriority:
return &item, nil
default:
}
// Try low priority
select {
case item := <-q.lowPriority:
return &item, nil
case <-ctx.Done():
return nil, ctx.Err()
}
}
// spilloverDequeue retrieves items from disk spillover
func (q *RobustQueue) spilloverDequeue() (*QueueItem, error) {
q.spilloverMutex.Lock()
defer q.spilloverMutex.Unlock()
if len(q.spillover) == 0 {
return nil, errors.New("no items available")
}
item := q.spillover[0]
q.spillover = q.spillover[1:]
if len(q.spillover) == 0 {
q.spilloverActive = false
}
return &item, nil
}
// startHealthMonitoring monitors worker health continuously
func (q *RobustQueue) startHealthMonitoring() {
q.wg.Add(1)
go func() {
defer q.wg.Done()
ticker := time.NewTicker(q.config.WorkerHealthCheckInterval)
defer ticker.Stop()
for {
select {
case <-ticker.C:
q.checkWorkerHealth()
case <-q.ctx.Done():
return
}
}
}()
}
// checkWorkerHealth evaluates the health of all workers
func (q *RobustQueue) checkWorkerHealth() {
q.healthMutex.RLock()
defer q.healthMutex.RUnlock()
now := time.Now()
for _, health := range q.workerHealth {
// Check if worker is responsive
if now.Sub(health.LastSeen) > q.config.WorkerHealthCheckInterval*2 {
health.Status = "failed"
log.Warnf("Worker %d is unresponsive", health.ID)
} else if health.ErrorCount > health.ProcessedCount/2 {
health.Status = "slow"
log.Warnf("Worker %d has high error rate", health.ID)
} else {
health.Status = "healthy"
}
}
}
// startPriorityAging ages lower priority items to prevent starvation
func (q *RobustQueue) startPriorityAging() {
if !q.config.PriorityAgingEnabled {
return
}
q.wg.Add(1)
go func() {
defer q.wg.Done()
ticker := time.NewTicker(q.config.PriorityAgingThreshold / 2)
defer ticker.Stop()
for {
select {
case <-ticker.C:
q.ageQueueItems()
case <-q.ctx.Done():
return
}
}
}()
}
// ageQueueItems promotes old items to higher priority
func (q *RobustQueue) ageQueueItems() {
now := time.Now()
// Age medium priority items to high priority
q.ageSpecificQueue(q.mediumPriority, q.highPriority, now)
// Age low priority items to medium priority
q.ageSpecificQueue(q.lowPriority, q.mediumPriority, now)
}
// ageSpecificQueue ages items from source to target queue
func (q *RobustQueue) ageSpecificQueue(source, target chan QueueItem, now time.Time) {
for {
select {
case item := <-source:
if now.Sub(item.EnqueueTime) > q.config.PriorityAgingThreshold {
// Age up the item
item.Priority++
select {
case target <- item:
default:
// Target queue is full, put it back
select {
case source <- item:
default:
// Both queues full, move to spillover
q.spilloverEnqueue(item)
}
}
} else {
// Put it back, not old enough yet
select {
case source <- item:
default:
q.spilloverEnqueue(item)
}
}
default:
return // No more items to age
}
}
}
// startSpilloverManager manages the spillover queue
func (q *RobustQueue) startSpilloverManager() {
q.wg.Add(1)
go func() {
defer q.wg.Done()
ticker := time.NewTicker(time.Second * 30)
defer ticker.Stop()
for {
select {
case <-ticker.C:
q.manageSpillover()
case <-q.ctx.Done():
return
}
}
}()
}
// manageSpillover tries to move items from spillover back to memory queues
func (q *RobustQueue) manageSpillover() {
if !q.spilloverActive {
return
}
q.spilloverMutex.Lock()
defer q.spilloverMutex.Unlock()
moved := 0
for i := 0; i < len(q.spillover) && moved < 10; i++ {
item := q.spillover[i]
// Try to move back to appropriate queue
var targetQueue chan QueueItem
if q.config.PriorityLevels > 1 {
switch item.Priority {
case 3:
targetQueue = q.highPriority
case 2:
targetQueue = q.mediumPriority
default:
targetQueue = q.lowPriority
}
} else {
targetQueue = q.items
}
select {
case targetQueue <- item:
// Successfully moved back
q.spillover = append(q.spillover[:i], q.spillover[i+1:]...)
i-- // Adjust index after removal
moved++
default:
// Queue still full, try later
}
}
if len(q.spillover) == 0 {
q.spilloverActive = false
}
if moved > 0 {
log.Debugf("Moved %d items from spillover back to memory queues", moved)
}
}
// NewCircuitBreaker creates a new circuit breaker
func NewCircuitBreaker(threshold int, timeout time.Duration) *CircuitBreaker {
return &CircuitBreaker{
threshold: threshold,
timeout: timeout,
}
}
// CanExecute checks if the circuit breaker allows execution
func (cb *CircuitBreaker) CanExecute() bool {
cb.mutex.RLock()
defer cb.mutex.RUnlock()
state := atomic.LoadInt32(&cb.state)
if state == 0 { // Closed
return true
}
if state == 1 { // Open
if time.Since(cb.lastFailure) > cb.timeout {
// Try to transition to half-open
if atomic.CompareAndSwapInt32(&cb.state, 1, 2) {
return true
}
}
return false
}
// Half-open state
return true
}
// RecordSuccess records a successful operation
func (cb *CircuitBreaker) RecordSuccess() {
cb.mutex.Lock()
defer cb.mutex.Unlock()
atomic.StoreInt64(&cb.failures, 0)
atomic.StoreInt32(&cb.state, 0) // Close circuit
}
// RecordFailure records a failed operation
func (cb *CircuitBreaker) RecordFailure() {
cb.mutex.Lock()
defer cb.mutex.Unlock()
failures := atomic.AddInt64(&cb.failures, 1)
cb.lastFailure = time.Now()
if failures >= int64(cb.threshold) {
atomic.StoreInt32(&cb.state, 1) // Open circuit
}
}
// GetStats returns queue statistics
func (q *RobustQueue) GetStats() map[string]interface{} {
return map[string]interface{}{
"length": atomic.LoadInt64(&q.length),
"processed": atomic.LoadInt64(&q.processed),
"failed": atomic.LoadInt64(&q.failed),
"spillover_active": q.spilloverActive,
"spillover_size": len(q.spillover),
"circuit_state": atomic.LoadInt32(&q.circuitBreaker.state),
"circuit_failures": atomic.LoadInt64(&q.circuitBreaker.failures),
}
}
// Shutdown gracefully shuts down the queue
func (q *RobustQueue) Shutdown(timeout time.Duration) error {
log.Info("Starting queue shutdown...")
// Cancel context to stop background routines
q.cancel()
// Wait for background routines to finish
done := make(chan struct{})
go func() {
q.wg.Wait()
close(done)
}()
select {
case <-done:
log.Info("Queue shutdown completed successfully")
return nil
case <-time.After(timeout):
log.Warn("Queue shutdown timed out")
return errors.New("shutdown timeout")
}
}

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test_upload.txt Normal file
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Hello, HMAC File Server! Fri Jul 18 11:35:16 AM UTC 2025