Postgres connection pool, clean 503 under overload, time indexes, 4 workers

Postgres here allows 60 connections, but each of the 96 gunicorn threads held its
own persistent one: at 100 concurrent users (local Postgres with the same limit)
21% of requests were 500 "remaining connection slots are reserved". Now each worker
has a psycopg pool (8), so the same load gives 0 errors and 714 req/s (was 460).

- A full pool answers 503 + Retry-After (DRF handler and middleware), not 500.
- The AI tutor and the OTP SMS call return their connection before the network wait.
- statement_timeout 30 s, idle-in-transaction 60 s; bad pool settings and the old
  DB_CONN_MAX_AGE stop startup instead of failing every request.
- /api/health dbPool: per-worker pool stats and workers x pool + 6 vs max_connections.
- Indexes on the columns global counters filter by time (weekly leaderboard,
  global SMS cap, global AI cap); the leaderboard recomputes once per expiry.
- Worker count moves into gunicorn.conf.py (4 on a shared 8-core box).
- security doc: Redis item closed (server uses our own Redis since 2026-10-08).

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
This commit is contained in:
2026-10-11 20:21:35 +03:30
parent d32d98d3f6
commit feaa5eb540
24 changed files with 585 additions and 35 deletions

View File

@@ -8,6 +8,8 @@ JSON. این هندلر اون حالت رو با traceback کامل لاگ می
import logging
from django.core.exceptions import RequestDataTooBig, SuspiciousOperation
from config.db import SERVER_BUSY_BODY, SERVER_BUSY_RETRY_AFTER, is_pool_timeout, log_server_busy
from rest_framework.response import Response
from rest_framework.views import exception_handler as drf_exception_handler
@@ -25,6 +27,11 @@ def custom_exception_handler(exc, context):
# بدنه‌ی بزرگ‌تر از DATA_UPLOAD_MAX_MEMORY_SIZE (≈ ۲٫۵ مگابایت): Django خودش این را ۴۰۰ می‌کند، ولی
# چون DRF آن را نمی‌شناسد پیش‌تر اینجا «۵۰۰ + ERRORِ لاگ با traceback» می‌شد و هر درخواستِ بزرگ لاگ را پر
# می‌کرد (۲۰۲۶-۱۰-۰۷ روی سرورِ زنده دیده شد). باقیِ SuspiciousOperationها هم همان ۴۰۰ِ Django را می‌گیرند.
# poolِ دیتابیس پر (config/db.py): ۵۰۳ با Retry-After. پیش از خواندنِ request.user پایین‌تر، که اگر
# احرازِ هویت خودش همین خطا را داده بود دوباره منتظرِ pool می‌ماند.
if is_pool_timeout(exc):
log_server_busy(request)
return Response(SERVER_BUSY_BODY, status=503, headers={'Retry-After': str(SERVER_BUSY_RETRY_AFTER)})
if isinstance(exc, RequestDataTooBig):
logger.warning('request_too_large path=%s', path)
return Response({'detail': 'حجمِ درخواست بیش از حدِ مجاز است.'}, status=413)