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4 Commits

Author SHA1 Message Date
woikos
779f341dda Add server-side query result limit to prevent memory exhaustion (v0.52.11)
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- Add ORLY_QUERY_RESULT_LIMIT config (default 256)
- Enforce limit on each REQ filter before database query
- Caps client limit if it exceeds server limit
- Applies server limit if client sends no limit

This prevents unbounded queries from loading millions of events
into memory and causing OOM kills.

Files modified:
- app/config/config.go: Add QueryResultLimit config
- app/handle-req.go: Enforce limit on each filter
- pkg/version/version: Bump to v0.52.11

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-21 16:23:44 +01:00
woikos
a565244435 Add per-IP connection limit to prevent resource exhaustion (v0.52.10)
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- Add ORLY_MAX_CONN_PER_IP config option (default 25, hard limit 40)
- Track connections per IP in Server struct
- Reject new connections with HTTP 429 when limit exceeded
- Properly decrement count when connections close

This prevents a single IP from opening unlimited connections and
exhausting server memory/goroutines.

Files modified:
- app/config/config.go: Add MaxConnectionsPerIP config
- app/server.go: Add connPerIP tracking map
- app/main.go: Initialize connPerIP map
- app/handle-websocket.go: Implement per-IP limit check
- pkg/version/version: Bump to v0.52.10

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-21 16:04:34 +01:00
woikos
bb858a0d6f Disable inline expired event deletion to prevent crashes (v0.52.9)
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- Disable goroutine that deleted expired events during query processing
- This was causing "assignment to entry in nil map" Badger panics under load
- Expired events will remain until proper background cleanup is implemented
- Added TODO comments explaining the issue and fix needed

Files modified:
- pkg/database/query-events.go: Disable inline expired event deletion
- pkg/version/version: Bump to v0.52.9

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-21 15:18:02 +01:00
woikos
b478845e1c Disable GC by default to prevent crashes under load (v0.52.8)
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- Change ORLY_GC_ENABLED default from true to false
- Mark GC as EXPERIMENTAL in config usage string
- Add detailed TODOs documenting Badger race condition issues
- GC triggers "assignment to entry in nil map" panics under concurrent load

Files modified:
- app/config/config.go: Default GC to false, add TODO comments
- pkg/storage/gc.go: Add detailed implementation TODOs
- pkg/version/version: Bump to v0.52.8

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-21 13:57:49 +01:00
8 changed files with 95 additions and 10 deletions

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@@ -146,6 +146,10 @@ type C struct {
// Connection concurrency control
MaxHandlersPerConnection int `env:"ORLY_MAX_HANDLERS_PER_CONN" default:"100" usage:"max concurrent message handlers per WebSocket connection (limits goroutine growth under load)"`
MaxConnectionsPerIP int `env:"ORLY_MAX_CONN_PER_IP" default:"25" usage:"max WebSocket connections per IP address (prevents resource exhaustion, hard limit 40)"`
// Query result limits (prevents memory exhaustion from unbounded queries)
QueryResultLimit int `env:"ORLY_QUERY_RESULT_LIMIT" default:"256" usage:"max events returned per REQ filter (prevents unbounded memory usage, 0=unlimited)"`
// Adaptive rate limiting (PID-controlled)
RateLimitEnabled bool `env:"ORLY_RATE_LIMIT_ENABLED" default:"true" usage:"enable adaptive PID-controlled rate limiting for database operations"`
@@ -207,8 +211,11 @@ type C struct {
ArchiveCacheTTLHrs int `env:"ORLY_ARCHIVE_CACHE_TTL_HRS" default:"24" usage:"hours to cache query fingerprints to avoid repeated archive requests"`
// Storage management configuration (access-based garbage collection)
// TODO: GC implementation needs batch transaction handling to avoid Badger race conditions
// TODO: GC should use smaller batches with delays between transactions on large datasets
// TODO: GC deletion should be serialized or use transaction pools to prevent concurrent txn issues
MaxStorageBytes int64 `env:"ORLY_MAX_STORAGE_BYTES" default:"0" usage:"maximum storage in bytes (0=auto-detect 80%% of filesystem)"`
GCEnabled bool `env:"ORLY_GC_ENABLED" default:"true" usage:"enable continuous garbage collection based on access patterns"`
GCEnabled bool `env:"ORLY_GC_ENABLED" default:"false" usage:"enable continuous garbage collection based on access patterns (EXPERIMENTAL - may cause crashes under load)"`
GCIntervalSec int `env:"ORLY_GC_INTERVAL_SEC" default:"60" usage:"seconds between GC runs when storage exceeds limit"`
GCBatchSize int `env:"ORLY_GC_BATCH_SIZE" default:"1000" usage:"number of events to consider per GC run"`

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@@ -316,8 +316,27 @@ func (l *Listener) HandleReq(msg []byte) (err error) {
// Collect all events from all filters
var allEvents event.S
// Server-side query result limit to prevent memory exhaustion
serverLimit := l.Config.QueryResultLimit
if serverLimit <= 0 {
serverLimit = 256 // Default if not configured
}
for _, f := range *env.Filters {
if f != nil {
// Enforce server-side limit on each filter
if serverLimit > 0 {
if f.Limit == nil {
// No client limit - apply server limit
limitVal := uint(serverLimit)
f.Limit = &limitVal
} else if int(*f.Limit) > serverLimit {
// Client limit exceeds server limit - cap it
limitVal := uint(serverLimit)
f.Limit = &limitVal
}
}
// Summarize filter details for diagnostics (avoid internal fields)
var kindsLen int
if f.Kinds != nil {

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@@ -56,6 +56,42 @@ func (s *Server) HandleWebsocket(w http.ResponseWriter, r *http.Request) {
return
}
whitelist:
// Extract IP from remote (strip port)
ip := remote
if idx := strings.LastIndex(remote, ":"); idx != -1 {
ip = remote[:idx]
}
// Check per-IP connection limit (hard limit 40, default 25)
maxConnPerIP := s.Config.MaxConnectionsPerIP
if maxConnPerIP <= 0 {
maxConnPerIP = 25
}
if maxConnPerIP > 40 {
maxConnPerIP = 40 // Hard limit
}
s.connPerIPMu.Lock()
currentConns := s.connPerIP[ip]
if currentConns >= maxConnPerIP {
s.connPerIPMu.Unlock()
log.W.F("connection limit exceeded for IP %s: %d/%d connections", ip, currentConns, maxConnPerIP)
http.Error(w, "too many connections from your IP", http.StatusTooManyRequests)
return
}
s.connPerIP[ip]++
s.connPerIPMu.Unlock()
// Decrement connection count when this function returns
defer func() {
s.connPerIPMu.Lock()
s.connPerIP[ip]--
if s.connPerIP[ip] <= 0 {
delete(s.connPerIP, ip)
}
s.connPerIPMu.Unlock()
}()
// Create an independent context for this connection
// This context will be cancelled when the connection closes or server shuts down
ctx, cancel := context.WithCancel(s.Ctx)

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@@ -87,6 +87,7 @@ func Run(
rateLimiter: limiter,
cfg: cfg,
db: db,
connPerIP: make(map[string]int),
}
// Initialize branding/white-label manager if enabled

View File

@@ -57,6 +57,10 @@ type Server struct {
// optional reverse proxy for dev web server
devProxy *httputil.ReverseProxy
// Per-IP connection tracking to prevent resource exhaustion
connPerIPMu sync.RWMutex
connPerIP map[string]int
// Challenge storage for HTTP UI authentication
challengeMutex sync.RWMutex
challenges map[string][]byte

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@@ -590,15 +590,15 @@ func (d *D) QueryEventsWithOptions(c context.Context, f *filter.F, includeDelete
if f.Limit != nil && len(evs) > int(*f.Limit) {
evs = evs[:*f.Limit]
}
// delete the expired events in a background thread
go func() {
for i, ser := range expDeletes {
if err = d.DeleteEventBySerial(c, ser, expEvs[i]); chk.E(err) {
continue
// TODO: DISABLED - inline deletion of expired events causes Badger race conditions
// under high concurrent load ("assignment to entry in nil map" panic).
// Expired events should be cleaned up by a separate, rate-limited background
// worker instead of being deleted inline during query processing.
// See: pkg/storage/gc.go TODOs for proper batch deletion implementation.
if len(expDeletes) > 0 {
log.D.F("QueryEvents: found %d expired events (deletion disabled)", len(expDeletes))
}
}
}()
}
return
}

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@@ -2,6 +2,24 @@
package storage
// TODO: IMPORTANT - This GC implementation is EXPERIMENTAL and may cause crashes under high load.
// The current implementation has the following issues that need to be addressed:
//
// 1. Badger race condition: DeleteEventBySerial runs transactions that can trigger
// "assignment to entry in nil map" panics in Badger v4.8.0 under concurrent load.
// This happens when GC deletes events while many REQ queries are being processed.
//
// 2. Batch transaction handling: On large datasets (14+ GB), deletions should be:
// - Serialized or use a transaction pool to prevent concurrent txn issues
// - Batched with proper delays between batches to avoid overwhelming Badger
// - Rate-limited based on current system load
//
// 3. The current 10ms delay every 100 events (line ~237) is insufficient for busy relays.
// Consider adaptive rate limiting based on pending transaction count.
//
// 4. Consider using Badger's WriteBatch API instead of individual Update transactions
// for bulk deletions, which may be more efficient and avoid some race conditions.
import (
"context"
"sync"

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@@ -1 +1 @@
v0.52.7
v0.52.11