Database Query Best Practices
/install database-query-best-practices
Database Query Best Practices - Prevent Connection Pool Exhaustion
CRITICAL SKILL - READ THIS BEFORE QUERYING RAILWAY DATABASE
The Problem
When querying Railway production database from local development environment, you may encounter:
psycopg2.OperationalError: sorry, too many clients already
This happens when:
- Multiple local dev servers are running (
npm run dev,npm run develop) - Each dev server holds database connections open
- Connection pool limit is reached (300 total connections)
- No new connections can be established
ALWAYS Use This Approach
1. Check Connection Pool Status FIRST
Before ANY database query, check active connections:
python3 \x3C\x3C 'EOF'
import psycopg2
DATABASE_URL = "postgresql://postgres:password@host:port/railway"
try:
conn = psycopg2.connect(DATABASE_URL, connect_timeout=10)
cur = conn.cursor()
# Check active connections
cur.execute("""
SELECT count(*)
FROM pg_stat_activity
WHERE datname = 'railway'
""")
active = cur.fetchone()[0]
# Check pool limit
cur.execute("SHOW max_connections")
max_conn = cur.fetchone()[0]
print(f"Active connections: {active}/{max_conn}")
if active > int(max_conn) * 0.9:
print(f"WARNING: Connection pool at {(active/int(max_conn))*100:.1f}% capacity")
print("Consider closing dev servers before querying")
else:
print("Connection pool healthy - safe to query")
cur.close()
conn.close()
except Exception as e:
print(f"Cannot connect: {e}")
print("\
SOLUTION:")
print("1. Kill local dev servers: pkill -9 -f 'npm run dev'")
print("2. Wait 30 seconds for connections to close")
print("3. Try again")
EOF
2. Always Use Context Managers
NEVER do this:
conn = psycopg2.connect(DATABASE_URL)
cur = conn.cursor()
cur.execute("SELECT * FROM users")
# Forgot to close! Connection leak!
ALWAYS do this:
import psycopg2
DATABASE_URL = "postgresql://..."
try:
conn = psycopg2.connect(DATABASE_URL, connect_timeout=30)
cur = conn.cursor()
# Do your queries
cur.execute("SELECT * FROM users")
results = cur.fetchall()
# Process results...
finally:
# ALWAYS close in finally block
if cur:
cur.close()
if conn:
conn.close()
3. Use Short-Lived Connections
For one-off queries, open connection, query, close immediately:
def get_user_count():
"""Get user count - connection opened and closed in function"""
conn = None
try:
conn = psycopg2.connect(DATABASE_URL, connect_timeout=30)
cur = conn.cursor()
cur.execute("SELECT COUNT(*) FROM users")
count = cur.fetchone()[0]
cur.close()
return count
finally:
if conn:
conn.close() # Connection immediately released
# Good: Connection closed after function returns
user_count = get_user_count()
4. Kill Dev Servers Before Queries
If you need to run database queries, stop dev servers first:
# Stop all dev servers
pkill -9 -f "npm run dev"
pkill -9 -f "npm run develop"
# Wait for connections to close
sleep 10
# Now safe to query
python3 scripts/your_query_script.py
# Restart dev servers after
cd src/backend && npm run dev &
cd AINative-website && npm run dev &
5. Use Railway CLI for Quick Queries (RECOMMENDED)
Instead of Python scripts, use Railway CLI when possible:
# Login to Railway
railway login
# Link to project
railway link
# Run SQL query directly
railway run psql -c "SELECT COUNT(*) FROM users WHERE created_at >= NOW() - INTERVAL '30 days'"
This uses Railway's managed connections and doesn't consume local pool.
Emergency: Connection Pool Full
If you encounter "too many clients already":
Option 1: Kill Local Dev Servers
pkill -9 -f "npm run dev"
pkill -9 -f "npm run develop"
pkill -9 node
sleep 30 # Wait for DB connections to close
Option 2: Check Active Connections on Railway
railway run psql -c "
SELECT
pid,
usename,
application_name,
client_addr,
state,
query_start
FROM pg_stat_activity
WHERE datname = 'railway'
ORDER BY query_start DESC
LIMIT 20"
Option 3: Terminate Idle Connections (LAST RESORT)
railway run psql -c "
SELECT pg_terminate_backend(pid)
FROM pg_stat_activity
WHERE datname = 'railway'
AND state = 'idle'
AND query_start \x3C NOW() - INTERVAL '10 minutes'"
Pre-Query Checklist
Before running ANY database query, verify:
- Are local dev servers running? → Stop them first
- Is connection pool healthy? → Run connection check
- Using try/finally to close connections? → Yes
- Using short-lived connections? → Yes
- Can I use Railway CLI instead? → Prefer this
Summary
The Golden Rule:
ALWAYS close database connections immediately after use. NEVER leave connections open in dev servers during queries.
Best Approach:
- Stop dev servers
- Query database
- Close connection
- Restart dev servers
Even Better: Use Railway CLI for ad-hoc queries instead of Python scripts.
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install database-query-best-practices - 安装完成后,直接呼叫该 Skill 的名称或使用
/database-query-best-practices触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
Database Query Best Practices 是什么?
Prevent connection pool exhaustion when querying Railway PostgreSQL database. Use when (1) Running database queries from local environment, (2) Diagnosing "t... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 158 次。
如何安装 Database Query Best Practices?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install database-query-best-practices」即可一键安装,无需额外配置。
Database Query Best Practices 是免费的吗?
是的,Database Query Best Practices 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Database Query Best Practices 支持哪些平台?
Database Query Best Practices 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Database Query Best Practices?
由 Toby Morning(@urbantech)开发并维护,当前版本 v1.0.0。