Files
traefikoidc/internal/cache/backends/hybrid.go
T
lukaszraczyloandGitHub 1b6c8616fd fix(refresh): coalesce refresh-token grants + bound goroutines + cache hot path (target v0.8.27) (#131)
* fix(refresh): wire RefreshCoordinator into the live refresh path

The RefreshCoordinator existed but was never instantiated. The actual
refresh path used only session.refreshMutex, which is per-SessionData
instance - and SessionData is pulled from a sync.Pool per request -
so concurrent requests sharing a refresh token had ZERO coordination.

Symptom: when access_token expired (e.g. 5min Zitadel default), every
in-flight request from a polling client (Grafana panels) entered the
refresh path simultaneously and POSTed the same refresh_token to the
IdP. With refresh-token rotation enabled (Zitadel/Authentik default),
only one grant succeeded; the rest got invalid_grant and each cleared
the entire session. Subsequent requests then thrashed in re-auth loops.

This commit:
- adds refreshCoordinator field on TraefikOidc
- instantiates it in NewWithContext with DefaultRefreshCoordinatorConfig
- shuts it down in Close() under shutdownOnce
- routes refreshToken() through the coordinator via coordinatedTokenRefresh,
  which collapses concurrent grants to a single upstream call per
  refresh_token hash
- exports refreshCoordinatorSessionID for both internal hashing and the
  middleware-level wireup so dedup keys stay aligned

Behavioural notes:
- nil-coordinator fallback preserves existing tests that build TraefikOidc
  literals without going through the constructor
- followers receive the same TokenResponse/error as the leader, so no
  per-instance code paths change
- existing TestGetNewTokenWithRefreshToken_Concurrency still passes
  because it hits GetNewTokenWithRefreshToken directly, below the
  coordinator boundary

Tests:
- refresh_coordinator_wireup_test.go: 50 concurrent refreshes coalesce
  to <=2 upstream calls; distinct tokens still run in parallel; nil
  coordinator falls back cleanly

* perf(cache): bound L1 backfill goroutines in HybridBackend

Get() and GetMany() previously spawned a goroutine per L2 hit to write
the value through to L1. Under sustained polling traffic (e.g. a Grafana
dashboard refreshing every 30s with N panels) this minted thousands of
goroutines, each running in Yaegi - directly contributing to the
~1000% CPU spike that pairs with the refresh-token herd.

Replace the per-hit goroutines with a single l1BackfillWorker fed by
l1BackfillBuffer, mirroring the existing asyncWriteBuffer/asyncWriteWorker
pattern for L2 writes. Buffer overflow drops the backfill (counted via
l1BackfillDrops) - a dropped backfill just means the next L2 hit for
that key re-queues it, which is safe.

Tests:
- TestHybridBackend_L1BackfillBounded: 1000 distinct L2 hits keep
  goroutine count within +20 of baseline (pre-fix it grew by ~1000)
- TestHybridBackend_L1BackfillFullDrops: drops are accounted for when
  the buffer is saturated and the worker is stopped

* feat(refresh): implement isRefreshTokenExpired heuristic

Replace the placeholder `return false` with a real check based on the
issued_at timestamp that SetRefreshToken already stamps into the session.
Gated by a new MaxRefreshTokenAgeSeconds config field (default 21600 =
6h, matching the existing comment). 0 disables the check.

This wires the previously-dead refreshTokenExpired branch in middleware.go,
which short-circuits AJAX requests with a 401 instead of letting them
hammer the IdP for a refresh token that's almost certainly stale - the
classic Grafana-after-long-pause failure mode.

Behaviour:
- maxRefreshTokenAge=0 disables the check (preserves prior behaviour)
- legacy sessions without issued_at still attempt one refresh; the IdP
  remains the source of truth on first try
- nil-receiver and nil-session guards keep test code that builds
  TraefikOidc literals safe

Tests:
- TestIsRefreshTokenExpired_DisabledWhenAgeZero
- TestIsRefreshTokenExpired_LegacySessionWithoutTimestamp
- TestIsRefreshTokenExpired_WithinWindow
- TestIsRefreshTokenExpired_BeyondWindow
- TestIsRefreshTokenExpired_NilGuards

* perf(token): skip parseJWT on cache hit in VerifyToken

The token cache fast-return existed but ran AFTER parseJWT, so every
validation paid for base64 + JSON unmarshal even on a hit. Under bursty
traffic (e.g. 10+ concurrent panel requests on every Grafana dashboard
refresh, each calling validateStandardTokens which verifies BOTH the
access token and the ID token), this is two redundant parses per
request multiplied by the panel count.

Move the cache lookup ahead of parseJWT. On a hit the function returns
nil immediately. On a miss the original flow runs unchanged.

Also nil-guard t.tokenCache to keep partial-literal test instances safe
(matches the same pattern we already use for tokenBlacklist).

Tests:
- TestVerifyToken_CacheHitSkipsParse: cache pre-populated with claims
  for a token whose body would fail parseJWT - returns nil iff the
  fast-path bypasses the parse
- TestVerifyToken_CacheMissStillParses: a syntactically valid but
  unsigned token still errors past parseJWT on cache miss

* feat(refresh): cross-replica refresh-grant dedup via shared cache

The in-process RefreshCoordinator added in 9f96d8c already collapses
concurrent refresh-token grants on a single Traefik replica. With the
plugin's existing Redis (Dragonfly) cache infrastructure available, we
can extend that dedup across replicas: if pod A refreshes a token at
T+0 and pod B receives a request for the same session at T+1, pod B
should reuse pod A's result rather than POSTing the now-rotated refresh
token to the IdP.

Implementation:
- Add a refreshResultCache to UniversalCacheManager (memory-only when
  Redis is disabled, Redis-backed in production via the existing
  hybrid/Redis-only mode selection)
- Expose it through CacheManager.GetSharedRefreshResultCache and on the
  TraefikOidc struct as refreshResultCache (CacheInterface)
- Inside the closure passed to RefreshCoordinator.CoordinateRefresh,
  consult the cache first; on hit return immediately, on miss exchange
  with the IdP and populate the cache for peers
- 5s TTL: long enough for siblings to observe, short enough that a
  rotated refresh token cannot be re-supplied after the IdP has moved on
- Errors are intentionally NOT cached - peers must always be able to
  retry on their own

Pragmatic choice: optimistic cache rather than a hard distributed lock.
- A hard lock (SET NX + poll) doubles Redis RTT and risks dead-locks
  if a Traefik pod dies mid-grant.
- The user's BGP+Local externalTrafficPolicy already pins ingress for
  a session to one node in steady state, so cross-pod racing is rare.
- This optimistic path catches the rare failover case without adding
  failure modes.

Tests:
- TestCoordinatedTokenRefresh_CrossReplicaCacheHit: pre-populated cache
  short-circuits the upstream call entirely (0 IdP calls)
- TestCoordinatedTokenRefresh_PopulatesCrossReplicaCache: leader stores
  a successful result for peers to find
- TestCoordinatedTokenRefresh_ErrorIsNotCached: invalid_grant must not
  poison the dedup cache - peers must retry independently
2026-04-30 18:52:39 +01:00

733 lines
19 KiB
Go

// Package backend provides cache backend implementations for the Traefik OIDC plugin.
package backends
import (
"context"
"fmt"
"log"
"sync"
"sync/atomic"
"time"
)
// HybridBackend implements a two-tier cache with L1 (memory) and L2 (Redis) backends
// It provides automatic failover, async writes for non-critical data, and optimized read paths
type HybridBackend struct {
lastL2Error atomic.Value
secondary CacheBackend
primary CacheBackend
logger Logger
ctx context.Context
syncWriteCacheTypes map[string]bool
asyncWriteBuffer chan *asyncWriteItem
l1BackfillBuffer chan *l1BackfillItem
cancel context.CancelFunc
wg sync.WaitGroup
l1Hits atomic.Int64
errors atomic.Int64
l2Writes atomic.Int64
l1Writes atomic.Int64
misses atomic.Int64
l2Hits atomic.Int64
l1BackfillDrops atomic.Int64
fallbackMode atomic.Bool
}
// asyncWriteItem represents an async write operation
type asyncWriteItem struct {
ctx context.Context
key string
value []byte
ttl time.Duration
}
// l1BackfillItem represents a deferred write of an L2-resolved value back into
// L1. Backfills run on a single bounded worker so a burst of L2 hits cannot
// detonate the goroutine count (issue: ~1000% CPU under sustained polling).
type l1BackfillItem struct {
key string
value []byte
ttl time.Duration
}
// Logger interface for structured logging
type Logger interface {
Debugf(format string, args ...interface{})
Infof(format string, args ...interface{})
Warnf(format string, args ...interface{})
Errorf(format string, args ...interface{})
}
// defaultLogger provides a basic logger implementation
type defaultLogger struct {
*log.Logger
}
func (l *defaultLogger) Debugf(format string, args ...interface{}) {
l.Printf("[DEBUG] "+format, args...)
}
func (l *defaultLogger) Infof(format string, args ...interface{}) {
l.Printf("[INFO] "+format, args...)
}
func (l *defaultLogger) Warnf(format string, args ...interface{}) {
l.Printf("[WARN] "+format, args...)
}
func (l *defaultLogger) Errorf(format string, args ...interface{}) {
l.Printf("[ERROR] "+format, args...)
}
// HybridConfig provides configuration for the hybrid backend
type HybridConfig struct {
Primary CacheBackend
Secondary CacheBackend
Logger Logger
SyncWriteCacheTypes map[string]bool
AsyncBufferSize int
}
// NewHybridBackend creates a new hybrid cache backend with L1 (memory) and L2 (Redis) tiers
func NewHybridBackend(config *HybridConfig) (*HybridBackend, error) {
if config == nil {
return nil, fmt.Errorf("config is required")
}
if config.Primary == nil {
return nil, fmt.Errorf("primary (L1) backend is required")
}
if config.Secondary == nil {
return nil, fmt.Errorf("secondary (L2) backend is required")
}
if config.Logger == nil {
config.Logger = &defaultLogger{Logger: log.New(log.Writer(), "[HybridCache] ", log.LstdFlags)}
}
if config.AsyncBufferSize <= 0 {
config.AsyncBufferSize = 1000
}
// Default critical cache types that require synchronous writes
if config.SyncWriteCacheTypes == nil {
config.SyncWriteCacheTypes = map[string]bool{
"blacklist": true, // Token blacklist must be immediately consistent
"token": true, // Token validation is critical
}
}
ctx, cancel := context.WithCancel(context.Background())
h := &HybridBackend{
primary: config.Primary,
secondary: config.Secondary,
syncWriteCacheTypes: config.SyncWriteCacheTypes,
asyncWriteBuffer: make(chan *asyncWriteItem, config.AsyncBufferSize),
l1BackfillBuffer: make(chan *l1BackfillItem, config.AsyncBufferSize),
ctx: ctx,
cancel: cancel,
logger: config.Logger,
}
// Start async write worker
h.wg.Add(1)
go h.asyncWriteWorker()
// Start L1 backfill worker (single goroutine) to bound goroutine growth on
// L2 hits regardless of request rate.
h.wg.Add(1)
go h.l1BackfillWorker()
// Start health monitoring
h.wg.Add(1)
go h.healthMonitor()
h.logger.Infof("HybridBackend initialized with L1 (memory) and L2 (Redis) tiers")
h.logger.Infof("Sync write cache types: %v", config.SyncWriteCacheTypes)
h.logger.Infof("Async write buffer size: %d", config.AsyncBufferSize)
return h, nil
}
// Set stores a value in both L1 and L2 caches
func (h *HybridBackend) Set(ctx context.Context, key string, value []byte, ttl time.Duration) error {
// Always write to L1 first (synchronous)
if err := h.primary.Set(ctx, key, value, ttl); err != nil {
h.errors.Add(1)
h.logger.Warnf("Failed to write to L1 cache: %v", err)
// Continue to try L2 even if L1 fails
} else {
h.l1Writes.Add(1)
}
// Check if we're in fallback mode
if h.fallbackMode.Load() {
h.logger.Debugf("Operating in fallback mode, skipping L2 write for key: %s", key)
return nil // Don't fail the operation if L2 is down
}
// Determine if this should be a sync or async write based on cache type
cacheType := h.extractCacheType(key)
requiresSync := h.syncWriteCacheTypes[cacheType]
if requiresSync {
// Synchronous write for critical cache types
if err := h.secondary.Set(ctx, key, value, ttl); err != nil {
h.errors.Add(1)
h.logger.Warnf("Failed to write to L2 cache (sync) for key %s: %v", key, err)
h.recordL2Error()
// Don't fail the operation - L1 write succeeded
return nil
}
h.l2Writes.Add(1)
h.logger.Debugf("Synchronous write to L2 completed for critical key: %s", key)
} else {
// Asynchronous write for non-critical cache types
select {
case h.asyncWriteBuffer <- &asyncWriteItem{
key: key,
value: value,
ttl: ttl,
ctx: ctx,
}:
h.logger.Debugf("Queued async write to L2 for key: %s", key)
default:
// Buffer is full, log and continue
h.logger.Warnf("Async write buffer full, dropping L2 write for key: %s", key)
h.errors.Add(1)
}
}
return nil
}
// Get retrieves a value from cache, checking L1 first, then L2
func (h *HybridBackend) Get(ctx context.Context, key string) ([]byte, time.Duration, bool, error) {
// Try L1 first
value, ttl, exists, err := h.primary.Get(ctx, key)
if err != nil {
h.errors.Add(1)
h.logger.Debugf("L1 get error for key %s: %v", key, err)
}
if exists {
h.l1Hits.Add(1)
return value, ttl, true, nil
}
// Check if we're in fallback mode
if h.fallbackMode.Load() {
h.misses.Add(1)
return nil, 0, false, nil
}
// Try L2
value, ttl, exists, err = h.secondary.Get(ctx, key)
if err != nil {
h.errors.Add(1)
h.logger.Debugf("L2 get error for key %s: %v", key, err)
h.recordL2Error()
h.misses.Add(1)
return nil, 0, false, nil // Don't propagate L2 errors
}
if !exists {
h.misses.Add(1)
return nil, 0, false, nil
}
h.l2Hits.Add(1)
// Populate L1 cache with value from L2 (write-through on read).
// Hand off to the bounded backfill worker instead of spawning a goroutine
// per read - under burst that would mint thousands of goroutines.
h.queueL1Backfill(key, value, ttl)
return value, ttl, true, nil
}
// Delete removes a key from both L1 and L2 caches
func (h *HybridBackend) Delete(ctx context.Context, key string) (bool, error) {
var deleted bool
// Delete from L1
if d, err := h.primary.Delete(ctx, key); err != nil {
h.logger.Debugf("Failed to delete from L1 cache: %v", err)
} else if d {
deleted = true
}
// Delete from L2 if not in fallback mode
if !h.fallbackMode.Load() {
if d, err := h.secondary.Delete(ctx, key); err != nil {
h.logger.Debugf("Failed to delete from L2 cache: %v", err)
h.recordL2Error()
} else if d {
deleted = true
}
}
return deleted, nil
}
// Exists checks if a key exists in either cache
func (h *HybridBackend) Exists(ctx context.Context, key string) (bool, error) {
// Check L1 first
if exists, err := h.primary.Exists(ctx, key); err == nil && exists {
return true, nil
}
// Check L2 if not in fallback mode
if !h.fallbackMode.Load() {
if exists, err := h.secondary.Exists(ctx, key); err == nil && exists {
return true, nil
}
}
return false, nil
}
// Clear removes all keys from both caches
func (h *HybridBackend) Clear(ctx context.Context) error {
var lastErr error
// Clear L1
if err := h.primary.Clear(ctx); err != nil {
h.logger.Errorf("Failed to clear L1 cache: %v", err)
lastErr = err
}
// Clear L2 if not in fallback mode
if !h.fallbackMode.Load() {
if err := h.secondary.Clear(ctx); err != nil {
h.logger.Errorf("Failed to clear L2 cache: %v", err)
h.recordL2Error()
lastErr = err
}
}
return lastErr
}
// GetStats returns statistics for the hybrid cache
func (h *HybridBackend) GetStats() map[string]interface{} {
l1Hits := h.l1Hits.Load()
l2Hits := h.l2Hits.Load()
misses := h.misses.Load()
total := l1Hits + l2Hits + misses
stats := map[string]interface{}{
"type": TypeHybrid,
"l1_hits": l1Hits,
"l2_hits": l2Hits,
"misses": misses,
"total": total,
"l1_writes": h.l1Writes.Load(),
"l2_writes": h.l2Writes.Load(),
"errors": h.errors.Load(),
"fallback_mode": h.fallbackMode.Load(),
}
if total > 0 {
stats["l1_hit_rate"] = float64(l1Hits) / float64(total)
stats["l2_hit_rate"] = float64(l2Hits) / float64(total)
stats["overall_hit_rate"] = float64(l1Hits+l2Hits) / float64(total)
}
// Add sub-backend stats
stats["l1_stats"] = h.primary.GetStats()
stats["l2_stats"] = h.secondary.GetStats()
// Add last L2 error time if available
if lastErr := h.lastL2Error.Load(); lastErr != nil {
if t, ok := lastErr.(time.Time); ok {
stats["last_l2_error"] = t.Format(time.RFC3339)
stats["seconds_since_l2_error"] = time.Since(t).Seconds()
}
}
return stats
}
// Ping checks if both backends are healthy
func (h *HybridBackend) Ping(ctx context.Context) error {
// Check L1
if err := h.primary.Ping(ctx); err != nil {
return fmt.Errorf("L1 ping failed: %w", err)
}
// Check L2 (but don't fail if it's down)
if err := h.secondary.Ping(ctx); err != nil {
h.logger.Warnf("L2 ping failed: %v", err)
h.recordL2Error()
// Don't return error - we can operate with L1 only
} else {
// L2 is healthy, clear fallback mode if it was set
if h.fallbackMode.CompareAndSwap(true, false) {
h.logger.Infof("L2 backend recovered, exiting fallback mode")
}
}
return nil
}
// Close shuts down the hybrid backend
func (h *HybridBackend) Close() error {
// Cancel context to stop workers
h.cancel()
// Close async write channel
close(h.asyncWriteBuffer)
close(h.l1BackfillBuffer)
// Wait for workers to finish with timeout
done := make(chan struct{})
go func() {
h.wg.Wait()
close(done)
}()
select {
case <-done:
// Workers finished
case <-time.After(5 * time.Second):
h.logger.Warnf("Timeout waiting for workers to finish")
}
var lastErr error
// Close backends
if err := h.primary.Close(); err != nil {
h.logger.Errorf("Failed to close L1 backend: %v", err)
lastErr = err
}
if err := h.secondary.Close(); err != nil {
h.logger.Errorf("Failed to close L2 backend: %v", err)
lastErr = err
}
h.logger.Infof("HybridBackend closed")
return lastErr
}
// GetMany retrieves multiple values efficiently
func (h *HybridBackend) GetMany(ctx context.Context, keys []string) (map[string][]byte, error) {
if len(keys) == 0 {
return make(map[string][]byte), nil
}
results := make(map[string][]byte, len(keys))
missingKeys := make([]string, 0)
// Try L1 first for all keys
for _, key := range keys {
if value, _, exists, _ := h.primary.Get(ctx, key); exists {
results[key] = value
h.l1Hits.Add(1)
} else {
missingKeys = append(missingKeys, key)
}
}
// If all found in L1 or in fallback mode, return
if len(missingKeys) == 0 || h.fallbackMode.Load() {
return results, nil
}
// Try L2 for missing keys using batch operation if available
if batcher, ok := h.secondary.(interface {
GetMany(context.Context, []string) (map[string][]byte, error)
}); ok {
l2Results, err := batcher.GetMany(ctx, missingKeys)
if err != nil {
h.logger.Debugf("L2 batch get error: %v", err)
h.recordL2Error()
} else {
for key, value := range l2Results {
results[key] = value
h.l2Hits.Add(1)
h.queueL1Backfill(key, value, 0) // 0 = primary backend default TTL
}
}
} else {
// Fallback to individual gets
for _, key := range missingKeys {
if value, ttl, exists, err := h.secondary.Get(ctx, key); err == nil && exists {
results[key] = value
h.l2Hits.Add(1)
h.queueL1Backfill(key, value, ttl)
}
}
}
// Count misses for keys not found anywhere
for _, key := range keys {
if _, found := results[key]; !found {
h.misses.Add(1)
}
}
return results, nil
}
// SetMany stores multiple key-value pairs efficiently
func (h *HybridBackend) SetMany(ctx context.Context, items map[string][]byte, ttl time.Duration) error {
if len(items) == 0 {
return nil
}
// Write to L1 first
for key, value := range items {
if err := h.primary.Set(ctx, key, value, ttl); err != nil {
h.logger.Debugf("Failed to write to L1 in batch: %v", err)
} else {
h.l1Writes.Add(1)
}
}
// Skip L2 if in fallback mode
if h.fallbackMode.Load() {
return nil
}
// Check if L2 supports batch operations
if batcher, ok := h.secondary.(interface {
SetMany(context.Context, map[string][]byte, time.Duration) error
}); ok {
if err := batcher.SetMany(ctx, items, ttl); err != nil {
h.logger.Warnf("Failed to batch write to L2: %v", err)
h.recordL2Error()
} else {
h.l2Writes.Add(int64(len(items)))
}
} else {
// Fallback to individual sets
for key, value := range items {
cacheType := h.extractCacheType(key)
if h.syncWriteCacheTypes[cacheType] {
// Sync write for critical types
if err := h.secondary.Set(ctx, key, value, ttl); err != nil {
h.logger.Debugf("Failed to write to L2: %v", err)
h.recordL2Error()
} else {
h.l2Writes.Add(1)
}
} else {
// Async write for non-critical types
select {
case h.asyncWriteBuffer <- &asyncWriteItem{
key: key,
value: value,
ttl: ttl,
ctx: ctx,
}:
// Queued
default:
h.logger.Warnf("Async buffer full for batch write")
}
}
}
}
return nil
}
// queueL1Backfill enqueues an L2-resolved value for write-through into L1.
// Drops on full buffer to keep the read path constant-time; the next L2 hit
// for the same key simply re-queues it.
func (h *HybridBackend) queueL1Backfill(key string, value []byte, ttl time.Duration) {
select {
case h.l1BackfillBuffer <- &l1BackfillItem{key: key, value: value, ttl: ttl}:
default:
h.l1BackfillDrops.Add(1)
h.logger.Debugf("L1 backfill buffer full, dropping for key: %s", key)
}
}
// l1BackfillWorker drains the backfill queue serially. Single worker is
// intentional - L1 writes are local and cheap, and serializing them keeps
// goroutine count bounded under any read rate.
func (h *HybridBackend) l1BackfillWorker() {
defer h.wg.Done()
for {
select {
case <-h.ctx.Done():
// Drain remaining items best-effort then exit.
for len(h.l1BackfillBuffer) > 0 {
select {
case item := <-h.l1BackfillBuffer:
writeCtx, cancel := context.WithTimeout(context.Background(), 100*time.Millisecond)
_ = h.primary.Set(writeCtx, item.key, item.value, item.ttl)
cancel()
default:
return
}
}
return
case item, ok := <-h.l1BackfillBuffer:
if !ok {
return
}
writeCtx, cancel := context.WithTimeout(context.Background(), 100*time.Millisecond)
if err := h.primary.Set(writeCtx, item.key, item.value, item.ttl); err != nil {
h.logger.Debugf("Failed to populate L1 cache from L2 for key %s: %v", item.key, err)
} else {
h.logger.Debugf("Populated L1 cache from L2 for key: %s", item.key)
}
cancel()
}
}
}
// asyncWriteWorker processes asynchronous writes to L2
func (h *HybridBackend) asyncWriteWorker() {
defer h.wg.Done()
for {
select {
case <-h.ctx.Done():
// Drain remaining items with best effort
for len(h.asyncWriteBuffer) > 0 {
select {
case item := <-h.asyncWriteBuffer:
ctx, cancel := context.WithTimeout(context.Background(), 100*time.Millisecond)
_ = h.secondary.Set(ctx, item.key, item.value, item.ttl)
cancel()
default:
return
}
}
return
case item, ok := <-h.asyncWriteBuffer:
if !ok {
return
}
// Skip if in fallback mode
if h.fallbackMode.Load() {
continue
}
// Perform the write with a timeout
writeCtx, cancel := context.WithTimeout(item.ctx, 500*time.Millisecond)
if err := h.secondary.Set(writeCtx, item.key, item.value, item.ttl); err != nil {
h.errors.Add(1)
h.logger.Debugf("Async write to L2 failed for key %s: %v", item.key, err)
h.recordL2Error()
} else {
h.l2Writes.Add(1)
h.logger.Debugf("Async write to L2 completed for key: %s", item.key)
}
cancel()
}
}
}
// healthMonitor periodically checks L2 health and manages fallback mode
func (h *HybridBackend) healthMonitor() {
defer h.wg.Done()
ticker := time.NewTicker(30 * time.Second)
defer ticker.Stop()
for {
select {
case <-h.ctx.Done():
return
case <-ticker.C:
ctx, cancel := context.WithTimeout(context.Background(), 5*time.Second)
if err := h.secondary.Ping(ctx); err != nil {
if !h.fallbackMode.Load() {
h.fallbackMode.Store(true)
h.logger.Warnf("L2 backend unhealthy, entering fallback mode: %v", err)
}
} else {
if h.fallbackMode.CompareAndSwap(true, false) {
h.logger.Infof("L2 backend healthy, exiting fallback mode")
}
}
cancel()
}
}
}
// recordL2Error records the timestamp of an L2 error
func (h *HybridBackend) recordL2Error() {
h.lastL2Error.Store(time.Now())
// Check if we should enter fallback mode based on recent errors
if !h.fallbackMode.Load() {
// Simple heuristic: if we've had an error in the last second, consider L2 unhealthy
if lastErr := h.lastL2Error.Load(); lastErr != nil {
if t, ok := lastErr.(time.Time); ok && time.Since(t) < time.Second {
h.fallbackMode.Store(true)
h.logger.Warnf("Multiple L2 errors detected, entering fallback mode")
}
}
}
}
// extractCacheType attempts to determine the cache type from the key
func (h *HybridBackend) extractCacheType(key string) string {
// Simple heuristic based on key prefixes
// This should match the actual cache type strategy in the main application
if len(key) > 10 {
prefix := key[:10]
switch {
case contains(prefix, "blacklist"):
return "blacklist"
case contains(prefix, "token"):
return "token"
case contains(prefix, "metadata"):
return "metadata"
case contains(prefix, "jwk"):
return "jwk"
case contains(prefix, "session"):
return "session"
case contains(prefix, "introspect"):
return "introspection"
}
}
return "general"
}
// contains checks if a string contains a substring (case-insensitive)
func contains(s, substr string) bool {
if len(substr) > len(s) {
return false
}
for i := 0; i <= len(s)-len(substr); i++ {
match := true
for j := 0; j < len(substr); j++ {
if toLower(s[i+j]) != toLower(substr[j]) {
match = false
break
}
}
if match {
return true
}
}
return false
}
// toLower converts a byte to lowercase
func toLower(b byte) byte {
if b >= 'A' && b <= 'Z' {
return b + 32
}
return b
}