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dbbackup/internal/engine/native/adaptive_config.go
Alexander Renz d65dc993ba
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feat: Adaptive Resource Management for Native Engine (v5.7.0)
Implements intelligent auto-profiling mode that adapts to available resources:

New Features:
- SystemProfile: Auto-detects CPU cores, RAM, disk type/speed, database config
- AdaptiveConfig: Dynamically adjusts workers, pool size, buffers based on resources
- Resource Categories: Tiny, Small, Medium, Large, Huge based on system specs
- CLI 'profile' command: Analyzes system and recommends optimal settings
- --auto flag: Enable auto-detection on backup/restore (default: true)
- --workers, --pool-size, --buffer-size, --batch-size: Manual overrides

System Detection:
- CPU cores and speed via gopsutil
- Total/available RAM with safety margins
- Disk type (SSD/HDD) via benchmark
- Database max_connections, shared_buffers, work_mem
- Table count, BLOB presence, index count

Adaptive Tuning:
- SSD: More workers, smaller buffers
- HDD: Fewer workers, larger sequential buffers
- BLOBs: Larger buffers, smaller batches
- Memory safety: Max 25% available RAM usage
- DB constraints: Max 50% of max_connections

Files Added:
- internal/engine/native/profile.go
- internal/engine/native/adaptive_config.go
- cmd/profile.go

Files Modified:
- internal/engine/native/manager.go (NewEngineManagerWithAutoConfig)
- internal/engine/native/postgresql.go (SetAdaptiveConfig, adaptive pool)
- cmd/backup.go, cmd/restore.go (--auto, --workers flags)
- cmd/native_backup.go, cmd/native_restore.go (auto-profiling integration)
2026-02-03 05:35:11 +01:00

514 lines
13 KiB
Go

package native
import (
"context"
"fmt"
"sync"
"time"
"github.com/jackc/pgx/v5"
"github.com/jackc/pgx/v5/pgxpool"
)
// ConfigMode determines how configuration is applied
type ConfigMode int
const (
ModeAuto ConfigMode = iota // Auto-detect everything
ModeManual // User specifies all values
ModeHybrid // Auto-detect with user overrides
)
func (m ConfigMode) String() string {
switch m {
case ModeAuto:
return "Auto"
case ModeManual:
return "Manual"
case ModeHybrid:
return "Hybrid"
default:
return "Unknown"
}
}
// AdaptiveConfig automatically adjusts to system capabilities
type AdaptiveConfig struct {
// Auto-detected profile
Profile *SystemProfile
// User overrides (0 = auto-detect)
ManualWorkers int
ManualPoolSize int
ManualBufferSize int
ManualBatchSize int
// Final computed values
Workers int
PoolSize int
BufferSize int
BatchSize int
// Advanced tuning
WorkMem string // PostgreSQL work_mem setting
MaintenanceWorkMem string // PostgreSQL maintenance_work_mem
SynchronousCommit bool // Whether to use synchronous commit
StatementTimeout time.Duration
// Mode
Mode ConfigMode
// Runtime adjustments
mu sync.RWMutex
adjustmentLog []ConfigAdjustment
lastAdjustment time.Time
}
// ConfigAdjustment records a runtime configuration change
type ConfigAdjustment struct {
Timestamp time.Time
Field string
OldValue interface{}
NewValue interface{}
Reason string
}
// WorkloadMetrics contains runtime performance data for adaptive tuning
type WorkloadMetrics struct {
CPUUsage float64 // Percentage
MemoryUsage float64 // Percentage
RowsPerSec float64
BytesPerSec uint64
ActiveWorkers int
QueueDepth int
ErrorRate float64
}
// NewAdaptiveConfig creates config with auto-detection
func NewAdaptiveConfig(ctx context.Context, dsn string, mode ConfigMode) (*AdaptiveConfig, error) {
cfg := &AdaptiveConfig{
Mode: mode,
SynchronousCommit: false, // Off for performance by default
StatementTimeout: 0, // No timeout by default
adjustmentLog: make([]ConfigAdjustment, 0),
}
if mode == ModeManual {
// User must set all values manually - set conservative defaults
cfg.Workers = 4
cfg.PoolSize = 8
cfg.BufferSize = 256 * 1024 // 256KB
cfg.BatchSize = 5000
cfg.WorkMem = "64MB"
cfg.MaintenanceWorkMem = "256MB"
return cfg, nil
}
// Auto-detect system profile
profile, err := DetectSystemProfile(ctx, dsn)
if err != nil {
return nil, fmt.Errorf("detect system profile: %w", err)
}
cfg.Profile = profile
// Apply recommended values
cfg.applyRecommendations()
return cfg, nil
}
// applyRecommendations sets config from profile
func (c *AdaptiveConfig) applyRecommendations() {
if c.Profile == nil {
return
}
// Use manual overrides if provided, otherwise use recommendations
if c.ManualWorkers > 0 {
c.Workers = c.ManualWorkers
} else {
c.Workers = c.Profile.RecommendedWorkers
}
if c.ManualPoolSize > 0 {
c.PoolSize = c.ManualPoolSize
} else {
c.PoolSize = c.Profile.RecommendedPoolSize
}
if c.ManualBufferSize > 0 {
c.BufferSize = c.ManualBufferSize
} else {
c.BufferSize = c.Profile.RecommendedBufferSize
}
if c.ManualBatchSize > 0 {
c.BatchSize = c.ManualBatchSize
} else {
c.BatchSize = c.Profile.RecommendedBatchSize
}
// Compute work_mem based on available RAM
ramGB := float64(c.Profile.AvailableRAM) / (1024 * 1024 * 1024)
switch {
case ramGB > 64:
c.WorkMem = "512MB"
c.MaintenanceWorkMem = "2GB"
case ramGB > 32:
c.WorkMem = "256MB"
c.MaintenanceWorkMem = "1GB"
case ramGB > 16:
c.WorkMem = "128MB"
c.MaintenanceWorkMem = "512MB"
case ramGB > 8:
c.WorkMem = "64MB"
c.MaintenanceWorkMem = "256MB"
default:
c.WorkMem = "32MB"
c.MaintenanceWorkMem = "128MB"
}
}
// Validate checks if configuration is sane
func (c *AdaptiveConfig) Validate() error {
if c.Workers < 1 {
return fmt.Errorf("workers must be >= 1, got %d", c.Workers)
}
if c.PoolSize < c.Workers {
return fmt.Errorf("pool size (%d) must be >= workers (%d)",
c.PoolSize, c.Workers)
}
if c.BufferSize < 4096 {
return fmt.Errorf("buffer size must be >= 4KB, got %d", c.BufferSize)
}
if c.BatchSize < 1 {
return fmt.Errorf("batch size must be >= 1, got %d", c.BatchSize)
}
return nil
}
// AdjustForWorkload dynamically adjusts based on runtime metrics
func (c *AdaptiveConfig) AdjustForWorkload(metrics *WorkloadMetrics) {
if c.Mode == ModeManual {
return // Don't adjust if manual mode
}
c.mu.Lock()
defer c.mu.Unlock()
// Rate limit adjustments (max once per 10 seconds)
if time.Since(c.lastAdjustment) < 10*time.Second {
return
}
adjustmentsNeeded := false
// If CPU usage is low but throughput is also low, increase workers
if metrics.CPUUsage < 50.0 && metrics.RowsPerSec < 10000 && c.Profile != nil {
newWorkers := minInt(c.Workers*2, c.Profile.CPUCores*2)
if newWorkers != c.Workers && newWorkers <= 64 {
c.recordAdjustment("Workers", c.Workers, newWorkers,
fmt.Sprintf("Low CPU usage (%.1f%%), low throughput (%.0f rows/s)",
metrics.CPUUsage, metrics.RowsPerSec))
c.Workers = newWorkers
adjustmentsNeeded = true
}
}
// If CPU usage is very high, reduce workers
if metrics.CPUUsage > 95.0 && c.Workers > 2 {
newWorkers := maxInt(2, c.Workers/2)
c.recordAdjustment("Workers", c.Workers, newWorkers,
fmt.Sprintf("Very high CPU usage (%.1f%%)", metrics.CPUUsage))
c.Workers = newWorkers
adjustmentsNeeded = true
}
// If memory usage is high, reduce buffer size
if metrics.MemoryUsage > 80.0 {
newBufferSize := maxInt(4096, c.BufferSize/2)
if newBufferSize != c.BufferSize {
c.recordAdjustment("BufferSize", c.BufferSize, newBufferSize,
fmt.Sprintf("High memory usage (%.1f%%)", metrics.MemoryUsage))
c.BufferSize = newBufferSize
adjustmentsNeeded = true
}
}
// If memory is plentiful and throughput is good, increase buffer
if metrics.MemoryUsage < 40.0 && metrics.RowsPerSec > 50000 {
newBufferSize := minInt(c.BufferSize*2, 16*1024*1024) // Max 16MB
if newBufferSize != c.BufferSize {
c.recordAdjustment("BufferSize", c.BufferSize, newBufferSize,
fmt.Sprintf("Low memory usage (%.1f%%), good throughput (%.0f rows/s)",
metrics.MemoryUsage, metrics.RowsPerSec))
c.BufferSize = newBufferSize
adjustmentsNeeded = true
}
}
// If throughput is very high, increase batch size
if metrics.RowsPerSec > 100000 {
newBatchSize := minInt(c.BatchSize*2, 1000000)
if newBatchSize != c.BatchSize {
c.recordAdjustment("BatchSize", c.BatchSize, newBatchSize,
fmt.Sprintf("High throughput (%.0f rows/s)", metrics.RowsPerSec))
c.BatchSize = newBatchSize
adjustmentsNeeded = true
}
}
// If error rate is high, reduce parallelism
if metrics.ErrorRate > 5.0 && c.Workers > 2 {
newWorkers := maxInt(2, c.Workers/2)
c.recordAdjustment("Workers", c.Workers, newWorkers,
fmt.Sprintf("High error rate (%.1f%%)", metrics.ErrorRate))
c.Workers = newWorkers
adjustmentsNeeded = true
}
if adjustmentsNeeded {
c.lastAdjustment = time.Now()
}
}
// recordAdjustment logs a configuration change
func (c *AdaptiveConfig) recordAdjustment(field string, oldVal, newVal interface{}, reason string) {
c.adjustmentLog = append(c.adjustmentLog, ConfigAdjustment{
Timestamp: time.Now(),
Field: field,
OldValue: oldVal,
NewValue: newVal,
Reason: reason,
})
// Keep only last 100 adjustments
if len(c.adjustmentLog) > 100 {
c.adjustmentLog = c.adjustmentLog[len(c.adjustmentLog)-100:]
}
}
// GetAdjustmentLog returns the adjustment history
func (c *AdaptiveConfig) GetAdjustmentLog() []ConfigAdjustment {
c.mu.RLock()
defer c.mu.RUnlock()
result := make([]ConfigAdjustment, len(c.adjustmentLog))
copy(result, c.adjustmentLog)
return result
}
// GetCurrentConfig returns a snapshot of current configuration
func (c *AdaptiveConfig) GetCurrentConfig() (workers, poolSize, bufferSize, batchSize int) {
c.mu.RLock()
defer c.mu.RUnlock()
return c.Workers, c.PoolSize, c.BufferSize, c.BatchSize
}
// CreatePool creates a connection pool with adaptive settings
func (c *AdaptiveConfig) CreatePool(ctx context.Context, dsn string) (*pgxpool.Pool, error) {
poolConfig, err := pgxpool.ParseConfig(dsn)
if err != nil {
return nil, fmt.Errorf("parse config: %w", err)
}
// Apply adaptive settings
poolConfig.MaxConns = int32(c.PoolSize)
poolConfig.MinConns = int32(maxInt(1, c.PoolSize/2))
// Optimize for workload type
if c.Profile != nil {
if c.Profile.HasBLOBs {
// BLOBs need more memory per connection
poolConfig.MaxConnLifetime = 30 * time.Minute
} else {
poolConfig.MaxConnLifetime = 1 * time.Hour
}
if c.Profile.DiskType == "SSD" {
// SSD can handle more parallel operations
poolConfig.MaxConnIdleTime = 1 * time.Minute
} else {
// HDD benefits from connection reuse
poolConfig.MaxConnIdleTime = 30 * time.Minute
}
} else {
// Defaults
poolConfig.MaxConnLifetime = 1 * time.Hour
poolConfig.MaxConnIdleTime = 5 * time.Minute
}
poolConfig.HealthCheckPeriod = 1 * time.Minute
// Configure connection initialization
poolConfig.AfterConnect = func(ctx context.Context, conn *pgx.Conn) error {
// Optimize session for bulk operations
if !c.SynchronousCommit {
if _, err := conn.Exec(ctx, "SET synchronous_commit = off"); err != nil {
return err
}
}
// Set work_mem for better sort/hash performance
if c.WorkMem != "" {
if _, err := conn.Exec(ctx, fmt.Sprintf("SET work_mem = '%s'", c.WorkMem)); err != nil {
return err
}
}
// Set maintenance_work_mem for index builds
if c.MaintenanceWorkMem != "" {
if _, err := conn.Exec(ctx, fmt.Sprintf("SET maintenance_work_mem = '%s'", c.MaintenanceWorkMem)); err != nil {
return err
}
}
// Set statement timeout if configured
if c.StatementTimeout > 0 {
if _, err := conn.Exec(ctx, fmt.Sprintf("SET statement_timeout = '%dms'", c.StatementTimeout.Milliseconds())); err != nil {
return err
}
}
return nil
}
return pgxpool.NewWithConfig(ctx, poolConfig)
}
// PrintConfig returns a human-readable configuration summary
func (c *AdaptiveConfig) PrintConfig() string {
var result string
result += fmt.Sprintf("Configuration Mode: %s\n", c.Mode)
result += fmt.Sprintf("Workers: %d\n", c.Workers)
result += fmt.Sprintf("Pool Size: %d\n", c.PoolSize)
result += fmt.Sprintf("Buffer Size: %d KB\n", c.BufferSize/1024)
result += fmt.Sprintf("Batch Size: %d rows\n", c.BatchSize)
result += fmt.Sprintf("Work Mem: %s\n", c.WorkMem)
result += fmt.Sprintf("Maintenance Work Mem: %s\n", c.MaintenanceWorkMem)
result += fmt.Sprintf("Synchronous Commit: %v\n", c.SynchronousCommit)
if c.Profile != nil {
result += fmt.Sprintf("\nBased on system profile: %s\n", c.Profile.Category)
}
return result
}
// Clone creates a copy of the config
func (c *AdaptiveConfig) Clone() *AdaptiveConfig {
c.mu.RLock()
defer c.mu.RUnlock()
clone := &AdaptiveConfig{
Profile: c.Profile,
ManualWorkers: c.ManualWorkers,
ManualPoolSize: c.ManualPoolSize,
ManualBufferSize: c.ManualBufferSize,
ManualBatchSize: c.ManualBatchSize,
Workers: c.Workers,
PoolSize: c.PoolSize,
BufferSize: c.BufferSize,
BatchSize: c.BatchSize,
WorkMem: c.WorkMem,
MaintenanceWorkMem: c.MaintenanceWorkMem,
SynchronousCommit: c.SynchronousCommit,
StatementTimeout: c.StatementTimeout,
Mode: c.Mode,
adjustmentLog: make([]ConfigAdjustment, 0),
}
return clone
}
// Options for creating adaptive configs
type AdaptiveOptions struct {
Mode ConfigMode
Workers int
PoolSize int
BufferSize int
BatchSize int
}
// AdaptiveOption is a functional option for AdaptiveConfig
type AdaptiveOption func(*AdaptiveOptions)
// WithMode sets the configuration mode
func WithMode(mode ConfigMode) AdaptiveOption {
return func(o *AdaptiveOptions) {
o.Mode = mode
}
}
// WithWorkers sets manual worker count
func WithWorkers(n int) AdaptiveOption {
return func(o *AdaptiveOptions) {
o.Workers = n
}
}
// WithPoolSize sets manual pool size
func WithPoolSize(n int) AdaptiveOption {
return func(o *AdaptiveOptions) {
o.PoolSize = n
}
}
// WithBufferSize sets manual buffer size
func WithBufferSize(n int) AdaptiveOption {
return func(o *AdaptiveOptions) {
o.BufferSize = n
}
}
// WithBatchSize sets manual batch size
func WithBatchSize(n int) AdaptiveOption {
return func(o *AdaptiveOptions) {
o.BatchSize = n
}
}
// NewAdaptiveConfigWithOptions creates config with functional options
func NewAdaptiveConfigWithOptions(ctx context.Context, dsn string, opts ...AdaptiveOption) (*AdaptiveConfig, error) {
options := &AdaptiveOptions{
Mode: ModeAuto, // Default to auto
}
for _, opt := range opts {
opt(options)
}
cfg, err := NewAdaptiveConfig(ctx, dsn, options.Mode)
if err != nil {
return nil, err
}
// Apply manual overrides
if options.Workers > 0 {
cfg.ManualWorkers = options.Workers
}
if options.PoolSize > 0 {
cfg.ManualPoolSize = options.PoolSize
}
if options.BufferSize > 0 {
cfg.ManualBufferSize = options.BufferSize
}
if options.BatchSize > 0 {
cfg.ManualBatchSize = options.BatchSize
}
// Reapply recommendations with overrides
cfg.applyRecommendations()
if err := cfg.Validate(); err != nil {
return nil, fmt.Errorf("invalid config: %w", err)
}
return cfg, nil
}