postgres-performance-tuning
PostgreSQL performance tuning for the docker instance: memory sizing vs the 1g mem_limit (shared_buffers, effective_cache_size, work_mem math), checkpoint…
Skill by fmflurry
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- Skill name
postgres-performance-tuning- Description
- PostgreSQL performance tuning for the docker instance: memory sizing vs the 1g mem_limit (shared_buffers, effective_cache_size, work_mem math), checkpoint tuning (max_wal_size, checkpoint_completion_target, pg_stat_checkpointer), pg_stat_statements enablement via compose, slow-query triage, EXPLAIN (ANALYZE, BUFFERS) interpretation, and pgbouncer transaction-pooling constraints (SET/LISTEN-NOTIFY/PREPARE/advisory locks/WITH HOLD). Use when asked about postgres tuning, slow queries, shared_buffers, work_mem, pg_stat_statements, pgbouncer, or checkpoint tuning. Target: postgres:16-alpine (container gc-platform-postgres). Read alongside the postgres-dba agent.
- License
- MIT
- Instructions
- 189 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# PostgreSQL Performance Tuning
**Target version:** `postgres:16-alpine` — this repository's `gc-platform-postgres` container: `mem_limit: 1g`, `mem_reservation: 512m`, no `command:` override (stock settings: `shared_buffers=128MB`, `max_connections=100`), no `shared_preload_libraries`.
**Contract:** diagnostics are read-only (`pg_settings`, `pg_stat_*`, `EXPLAIN` on SELECTs only). Every config change below is emitted ONLY as a `⚠️ HUMAN CONFIRMATION REQUIRED` block — if `postgres-dba` is installed, that agent never applies settings; otherwise `database-reviewer` or the main agent does not either. Values marked ⚠️ are **established heuristics**, not guarantees: measure before and after every change, one parameter at a time.
**Connection:**
```bash
docker exec gc-platform-postgres psql -U gcplatform -d gcplatform -c "<query>"
```
---
## 1. Memory sizing vs the 1g mem_limit
Current settings (verify live):
```sql
SELECT name, setting, unit FROM pg_settings
WHERE name IN ('shared_buffers','effective_cache_size','work_mem','maintenance_work_mem',
'max_connections','huge_pages');
```
⚠️ Heuristic sizing for a **dedicated 1g container**:
| Parameter | Stock | Suggested | Rationale |
|---|---|---|---|
| `shared_buffers` | 128MB | **≈ 256MB** | Classic ⚠️ 25%-of-RAM heuristic; the container also needs room for per-backend memory, WAL buffers, and the OS page cache |
| `effective_cache_size` | 4GB (!) | **≈ 512–768MB** | Planner hint for "how much caching exists total" (shared_buffers + OS cache). Stock 4GB is a lie on a 1g container and biases the planner toward index scans it shouldn't trust |
| `work_mem` | 4MB | **keep 4–8MB** | Allocated PER sort/hash node PER connection. Worst case ≈ `max_connections × nodes-per-query × work_mem`: 100 × 4 nodes × 8MB = 3.2GB ≫ 1g. Raising it globally is how containers OOM; raise per-session for known big sorts instead |
| `maintenance_work_mem` | 64MB | **128–256MB** | Used by VACUUM/CREATE INDEX; few concurrent users, safe to raise |
⚠️ HUMAN CONFIRMATION REQUIRED
```yaml
# docker-compose.yml, postgres service (restart required):
command: ["postgres",
"-c", "shared_buffers=256MB",
"-c", "effective_cache_size=768MB",
"-c", "maintenance_work_mem=128MB"]
```
Verify after restart: `SELECT name, setting FROM pg_settings WHERE name = 'shared_buffers';` and watch `docker stats` under load.
---
## 2. Checkpoint tuning
Source: https://www.postgresql.org/docs/16/wal-configuration.html
Diagnose first (see `postgres-health-check` §7):
```sql
SELECT checkpoints_timed, checkpoints_req,
ROUND(checkpoints_req::numeric / NULLIF(checkpoints_timed + checkpoints_req, 0) * 100, 2) AS req_pct
FROM pg_stat_checkpointer;
SHOW max_wal_size; SHOW checkpoint_completion_target; SHOW checkpoint_warning;
```
⚠️ Heuristics:
- `max_wal_size` (default 1GB): raise to **2–4GB** if `req_pct` > 10–20% — more WAL between checkpoints = fewer forced checkpoints = smoother I/O (cost: longer crash recovery, more `pg_wal` disk).
- `checkpoint_completion_target = 0.9` — **already the default since PG14**; spreads checkpoint writes across 90% of the interval. Verify it, don't blindly set it.
- `checkpoint_warning = 30s` (default): logs when checkpoints are too close together; keep it as the canary.
⚠️ HUMAN CONFIRMATION REQUIRED
```yaml
command: ["postgres", "-c", "max_wal_size=2GB", "-c", "checkpoint_completion_target=0.9"]
```
---
## 3. Enabling pg_stat_statements
The stock compose loads no extensions (`shared_preload_libraries` empty), so `pg_stat_statements` — the single highest-value slow-query tool — is unavailable until enabled.
Source: https://www.postgresql.org/docs/16/pgstatstatements.html ⚠️ (must be loaded via `shared_preload_libraries` → requires server **restart**, not a reload; the extension object then still needs `CREATE EXTENSION` per database).
⚠️ HUMAN CONFIRMATION REQUIRED
```yaml
# docker-compose.yml, postgres service (restart required):
command: ["postgres", "-c", "shared_preload_libraries=pg_stat_statements",
"-c", "pg_stat_statements.max=10000",
"-c", "pg_stat_statements.track=all"]
```
Then the extension itself is a **migration** (a repo change). If `coder` is installed, dispatch to that agent. Otherwise the main agent loads the `coder` skill and writes the migration inline.
⚠️ HUMAN CONFIRMATION REQUIRED
```sql
-- Applied as an EF Core migration under the superuser/migrator connection, never ad hoc:
CREATE EXTENSION IF NOT EXISTS pg_stat_statements;
```
Combine with §1/§2 if changing both: a single `command:` array holds all `-c` flags.
---
## 4. Slow-query triage workflow
Requires §3 enabled. Order of operations:
```sql
-- 1. Worst by TOTAL time (the queries costing the most aggregate):
SELECT LEFT(query, 100) AS query, calls,
round(total_exec_time::numeric, 1) AS total_ms,
round(mean_exec_time::numeric, 1) AS mean_ms,
rows,
round((shared_blks_hit * 100.0 / NULLIF(shared_blks_hit + shared_blks_read, 0))::numeric, 2) AS hit_pct
FROM pg_stat_statements
ORDER BY total_exec_time DESC LIMIT 15;
-- 2. Worst by MEAN time (individual slow queries):
SELECT LEFT(query, 100), calls, round(mean_exec_time::numeric, 1) AS mean_ms, rows
FROM pg_stat_statements
WHERE calls > 20From fmflurry/settings-opencode, MIT.
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Signals
- Stars
- 171
- Forks
- 9
- Open issues
- 0
- Last commit (this folder)
- Oct 7, 2026 (25 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/fmflurry/settings-opencode
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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postgres-performance-tuning skill. Agent Mart. https://agentmart.dev/skills/fmflurry-postgres-performance-tuning-b24126 (last updated 2026-10-24)