Skill Store 33

Sqlalchemy

SQLAlchemy Python ORM.

by claude-dev-suite · MIT

The skill

SQLAlchemy Python ORM. Covers models, sessions, and queries. Use for Python database applications. USE WHEN: user mentions "sqlalchemy", "declarative_base", "DeclarativeBase", "Session", "Query", "relationship()", "alembic", asks about "python orm", "sqlalchemy models", "sqlalchemy async", "sqlalchemy relationships", "python database" DO NOT USE FOR: Node.js/TypeScript ORMs - use `prisma`, `drizzle`, or `typeorm` skills; Django ORM - use Django-specific resources; raw SQL - use `database-query` MCP; NoSQL - use `mongodb` skill; other Python ORMs (Peewee, Pony) - not supported

SQLAlchemy Core Knowledge

Deep Knowledge: Use mcp__documentation__fetch_docs with technology: sqlalchemy for comprehensive documentation.

When NOT to Use This Skill

  • TypeScript/Node.js Projects: Use prisma, drizzle, or typeorm skills
  • Django Applications: Use Django ORM documentation (not covered here)
  • Raw SQL Queries: Use database-query MCP server for direct SQL execution
  • NoSQL Databases: Use mongodb skill for MongoDB operations
  • FastAPI Specific: May need fastapi-expert for integration patterns
  • Database Design: Consult sql-expert or architect-expert for schema architecture
  • Other Python ORMs: Peewee, Pony ORM, Tortoise not supported by this skill

Model Definition

from sqlalchemy import Column, Integer, String, Boolean, DateTime, ForeignKey
from sqlalchemy.orm import relationship, DeclarativeBase
from datetime import datetime

class Base(DeclarativeBase):
    pass

class User(Base):
    __tablename__ = 'users'

    id = Column(Integer, primary_key=True)
    name = Column(String(100), nullable=False)
    email = Column(String(255), unique=True, nullable=False)
    is_active = Column(Boolean, default=True)
    created_at = Column(DateTime, default=datetime.utcnow)

    posts = relationship('Post', back_populates='author')

class Post(Base):
    __tablename__ = 'posts'

    id = Column(Integer, primary_key=True)
    title = Column(String(255), nullable=False)
    content = Column(String)
    author_id = Column(Integer, ForeignKey('users.id'))

    author = relationship('User', back_populates='posts')

Session Operations

from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker

engine = create_engine('postgresql://user:pass@localhost/db')
Session = sessionmaker(bind=engine)

# Create
with Session() as session:
    user = User(name='John', email='john@example.com')
    session.add(user)
    session.commit()

# Read
with Session() as session:
    users = session.query(User).all()
    user = session.query(User).filter_by(id=1).first()
    active_users = session.query(User).filter(User.is_active == True).all()

# Update
with Session() as session:
    user = session.query(User).filter_by(id=1).first()
    user.name = 'Jane'
    session.commit()

# Delete
with Session() as session:
    session.query(User).filter_by(id=1).delete()
    session.commit()

Async Support

from sqlalchemy.ext.asyncio import create_async_engine, AsyncSession
from sqlalchemy.orm import sessionmaker

engine = create_async_engine('postgresql+asyncpg://user:pass@localhost/db')
async_session = sessionmaker(engine, class_=AsyncSession, expire_on_commit=False)

async def get_users():
    async with async_session() as session:
        result = await session.execute(select(User))
        return result.scalars().all()

Anti-Patterns

Anti-Pattern Why It's Bad Better Approach
Not closing sessions Connection leaks, pool exhaustion Use context managers (with Session())
Using session.query() in SQLAlchemy 2.0+ Deprecated, legacy API Use select() with session.execute()
No eager loading for relations N+1 query problem Use selectinload() or joinedload()
Hardcoded connection strings Security risk Use environment variables
Not configuring connection pool Connection issues, performance Set pool_size, max_overflow, pool_recycle
Using session.flush() without understanding Partial commits, confusion Use commit() for transactions
No pool_pre_ping in production Stale connections after DB restart Enable pool_pre_ping=True
Missing indexes on foreign keys Slow joins Add Index() to frequently joined columns
Using ORM for bulk operations Very slow for large datasets Use bulk_insert_mappings() or Core
Not handling IntegrityError Cryptic errors to users Catch and provide meaningful messages

Quick Troubleshooting

Issue Likely Cause Solution
"No module named 'sqlalchemy'" SQLAlchemy not installed Run pip install sqlalchemy
"Can't connect to server" Wrong DATABASE_URL or DB down Verify connection string, check DB status
"Table doesn't exist" Migrations not run Execute alembic upgrade head
"DetachedInstanceError" Accessing relation outside session Use joinedload() or keep session open
"IntegrityError: duplicate key" Unique constraint violation Check for existing record, handle error
"InvalidRequestError: SQL expression" Missing select() in 2.0 style Use select(Model) not session.query()
Slow queries N+1 problem, missing indexes Add eager loading, create indexes
Pool timeout Too many connections Increase pool_size, fix connection leaks
"Stale data" Session caching old data Call session.expire_all() or refresh objects
Alembic conflict Multiple migration heads Merge branches with alembic merge

Production Readiness

Engine Configuration

# database.py
from sqlalchemy import create_engine, event
from sqlalchemy.orm import sessionmaker, scoped_session
from sqlalchemy.pool import QueuePool
import os

DATABASE_URL = os.environ['DATABASE_URL']

engine = create_engine(
    DATABASE_URL,
    poolclass=QueuePool,
    pool_size=20,
    max_overflow=10,
    pool_timeout=30,
    pool_recycle=1800,  # Recycle connections after 30 minutes
    pool_pre_ping=True,  # Check connection validity
    echo=os.environ.get('DEBUG') == 'true',
    connect_args={
        'sslmode': 'require' if os.environ.get('ENV') == 'production' else 'prefer',
        'connect_timeout': 10,
    }
)

# Event listeners for monitoring
@event.listens_for(engine, 'before_cursor_execute')
def before_cursor_execute(conn, cursor, statement, parameters, context, executemany):
    conn.info.setdefault('query_start_time', []).append(time.time())

@event.listens_for(engine, 'after_cursor_execute')
def after_cursor_execute(conn, cursor, statement, parameters, context, executemany):
    total = time.time() - conn.info['query_start_time'].pop()
    if total > 0.5:  # Log slow queries
        logger.warning(f'Slow query ({total:.2f}s): {statement[:100]}')

SessionLocal = sessionmaker(bind=engine)
ScopedSession = scoped_session(SessionLocal)

Context Manager Pattern

from contextlib import contextmanager
from typing import Generator

@contextmanager
def get_db() -> Generator[Session, None, None]:
    """Database session context manager with automatic cleanup."""
    session = SessionLocal()
    try:
        yield session
        session.commit()
    except Exception:
        session.rollback()
        raise
    finally:
        session.close()

# Usage
def create_user(name: str, email: str) -> User:
    with get_db() as db:
        user = User(name=name, email=email)
        db.add(user)
        db.flush()  # Get ID without committing
        return user

Async Configuration

from sqlalchemy.ext.asyncio import create_async_engine, AsyncSession, async_sessionmaker

async_engine = create_async_engine(
    DATABASE_URL.replace('postgresql://', 'postgresql+asyncpg://'),
    pool_size=20,
    max_overflow=10,
    pool_recycle=1800,
    echo=False,
)

async_session = async_sessionmaker(
    async_engine,
    class_=AsyncSession,
    expire_on_commit=False,
)

async def get_async_db() -> AsyncGenerator[AsyncSession, None]:
    async with async_session() as session:
        try:
            yield session
            await session.commit()
        except Exception:
            await session.rollback()
            raise

Query Optimization

from sqlalchemy.orm import joinedload, selectinload
from sqlalchemy import select

# Eager loading to avoid N+1
async def get_users_with_posts(db: AsyncSession):
    stmt = (
        select(User)
        .options(selectinload(User.posts))
        .where(User.is_active == True)
    )
    result = await db.execute(stmt)
    return result.scalars().all()

# Pagination
async def paginate(
    db: AsyncSession,
    page: int,
    per_page: int
) -> dict:
    offset = (page - 1) * per_page

    # Count
    count_stmt = select(func.count(User.id))
    total = await db.scalar(count_stmt)

    # Data
    stmt = (
        select(User)
        .order_by(User.created_at.desc())
        .offset(offset)
        .limit(per_page)
    )
    result = await db.execute(stmt)

    return {
        'data': result.scalars().all(),
        'total': total,
        'page': page,
        'pages': math.ceil(total / per_page),
    }

# Bulk insert
def bulk_insert_users(db: Session, users_data: list[dict]):
    db.execute(insert(User), users_data)
    db.commit()

Alembic Migrations

# alembic/env.py
from sqlalchemy import engine_from_config, pool
from alembic import context
from models import Base

target_metadata = Base.metadata

def run_migrations_online():
    connectable = engine_from_config(
        config.get_section(config.config_ini_section),
        prefix='sqlalchemy.',
        poolclass=pool.NullPool,
    )

    with connectable.connect() as connection:
        context.configure(
            connection=connection,
            target_metadata=target_metadata,
            compare_type=True,
            compare_server_default=True,
        )

        with context.begin_transaction():
            context.run_migrations()

# CLI commands
# alembic revision --autogenerate -m "Add users table"
# alembic upgrade head
# alembic downgrade -1

Testing

# conftest.py
import pytest
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker

@pytest.fixture(scope='session')
def engine():
    return create_engine(os.environ['TEST_DATABASE_URL'])

@pytest.fixture(scope='session')
def tables(engine):
    Base.metadata.create_all(engine)
    yield
    Base.metadata.drop_all(engine)

@pytest.fixture
def db(engine, tables):
    connection = engine.connect()
    transaction = connection.begin()
    Session = sessionmaker(bind=connection)
    session = Session()

    yield session

    session.close()
    transaction.rollback()
    connection.close()

# tests/test_user.py
def test_create_user(db):
    user = User(name='Test', email='test@example.com')
    db.add(user)
    db.flush()
    assert user.id is not None

Monitoring Metrics

Metric Target
Query time (p99) < 100ms
Pool connections < max_size
Slow queries 0 (> 500ms)
Connection errors 0

Checklist

  • [ ] Connection pooling configured
  • [ ] SSL in production
  • [ ] pool_pre_ping enabled
  • [ ] pool_recycle for long-running apps
  • [ ] Context manager for sessions
  • [ ] Eager loading to prevent N+1
  • [ ] Pagination for list queries
  • [ ] Alembic migrations
  • [ ] Slow query logging
  • [ ] Test isolation with rollback

Reference Documentation

Use this skill

Connect your agent to the Skill Store MCP server and ask for it by ref: claude-dev-suite/sqlalchemy-7834168299.

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Details

Publisher
claude-dev-suite
Category
Data & Analytics › Databases & SQL
License
MIT
Updated
2026-10-19

References

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