thermograph/infra/deploy/db/init/20-tuning.sh
emi 0617a3b067
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db: raise max_connections to 200, cap work_mem at 64MB, trim async pool overflow (#124)
2026-07-26 19:48:50 +00:00

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#!/bin/bash
# Postgres memory / performance tuning, scaled to the container's DB_MEMORY budget so
# the same init works for any host with no hardcoding. There is ONE shared TimescaleDB
# instance now (prod and beta are separate databases/roles on it, not separate
# containers), sized from prod's vault values (16g on the 48 GB box) -- beta no longer
# gets a second database or a second tuning pass. Dev keeps its own, separate container
# (8g). Runs once on a fresh data volume from /docker-entrypoint-initdb.d, after
# 10-timescaledb.sql enables timescaledb. Settings are written via ALTER SYSTEM
# (persisted to postgresql.auto.conf, which the timescaledb image's own
# timescaledb-tune postgresql.conf defers to); the container's post-init restart brings
# restart-only settings (shared_buffers, max_connections, …) into effect. NB: never
# ALTER SYSTEM SET shared_preload_libraries here — that would land in auto.conf and
# override the image's `timescaledb` preload. Init scripts do NOT re-run on an existing
# volume — to re-tune later, set DB_MEMORY and run this by hand, then restart:
# docker compose exec -e DB_MEMORY=16g db bash /docker-entrypoint-initdb.d/20-tuning.sh
# docker compose restart db
set -euo pipefail
# Parse DB_MEMORY ("16g" / "8192m" / plain MB) into whole MB; default + floor at 8 GB.
budget="${DB_MEMORY:-8g}"
num="${budget//[!0-9]/}"
num="${num:-8}"
unit="$(printf '%s' "$budget" | tr -dc '[:alpha:]' | tr '[:upper:]' '[:lower:]')"
case "$unit" in
g | gb) mb=$((num * 1024)) ;;
m | mb | "") mb="$num" ;;
*) mb=8192 ;;
esac
if [ "$mb" -lt 1024 ]; then mb=8192; fi
# Derive settings from the budget. The ratios reproduce the historical 8 GB tuning
# (shared_buffers 2 GB, effective_cache_size 6 GB, work_mem 64 MB,
# maintenance_work_mem 512 MB) and scale linearly on a bigger box.
shared_buffers=$((mb / 4)) # 25% — the shared page cache
effective_cache=$((mb * 3 / 4)) # 75% — planner's view of total cache (PG + OS)
maint_mem=$((mb / 16)) # 512 MB at 8 GB — index builds / VACUUM
# work_mem is per *sort operation*, not per connection, so its real cost is
# work_mem x concurrent sorts x max_connections (200, below) — and the db container
# has a hard memory limit. Left uncapped the ratio gives 128 MB at prod's 16g
# budget, which is more than a 200-connection instance should carry: a burst of
# heavy sorts can walk into the container limit, and an OOM-killed Postgres is a
# far worse day than a refused connection. Cap at 64 MB (dev's 8g is unaffected).
work_mem=$((mb / 128))
if [ "$work_mem" -gt 64 ]; then work_mem=64; fi
if [ "$work_mem" -lt 16 ]; then work_mem=16; fi
# Connection ceiling. NOT derived from DB_MEMORY: it is bounded by how many pools
# the app opens, not by RAM. One instance serves prod and beta, and every backend
# process opens three pools (two async engines + the notifier's sync engine, see
# backend/accounts/db.py), so the image default of 100 was below the configured
# worst case — prod saturated it on 2026-07-26 and started refusing clients with
# "sorry, too many clients already". 200 covers today's replica counts including
# web's autoscale maximum. ~+1 GB of per-connection overhead at 200.
max_conn=200
echo "[tuning] DB_MEMORY=${budget} -> ${mb}MB: shared_buffers=${shared_buffers}MB" \
"effective_cache_size=${effective_cache}MB work_mem=${work_mem}MB" \
"maintenance_work_mem=${maint_mem}MB max_connections=${max_conn}"
psql -v ON_ERROR_STOP=1 --username "$POSTGRES_USER" --dbname "$POSTGRES_DB" <<SQL
-- Caching: the shared page cache, and the planner's view of total cache (PG + OS).
ALTER SYSTEM SET shared_buffers = '${shared_buffers}MB';
ALTER SYSTEM SET effective_cache_size = '${effective_cache}MB';
-- Processing: per-operation sort/hash memory, and maintenance (index builds, VACUUM).
ALTER SYSTEM SET work_mem = '${work_mem}MB';
ALTER SYSTEM SET maintenance_work_mem = '${maint_mem}MB';
-- Connections. Restart-only, like shared_buffers: changing this on a live instance
-- takes an ALTER SYSTEM plus a db restart, it does not reload.
ALTER SYSTEM SET max_connections = ${max_conn};
-- Write throughput: fewer, larger checkpoints.
ALTER SYSTEM SET wal_buffers = '16MB';
ALTER SYSTEM SET min_wal_size = '1GB';
ALTER SYSTEM SET max_wal_size = '4GB';
ALTER SYSTEM SET checkpoint_completion_target = 0.9;
-- SSD-friendly planner + IO concurrency.
ALTER SYSTEM SET random_page_cost = 1.1;
ALTER SYSTEM SET effective_io_concurrency = 200;
-- Room for parallel scans/aggregates on the bigger analytic queries.
ALTER SYSTEM SET max_parallel_workers_per_gather = 2;
SQL