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Agent Skill · 待分类

sqlalchemy-orm(sqlalchemy ORM 测试)

sqlalchemy-orm 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

sqlalchemy-orm 是待分类类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证为 MIT,第三方扫描已通过,按安装量在待分类类的 11,209 个 Skill 里排第 336。

总安装 20,160周安装 866GitHub Stars 39下载 7,067核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:sqlalchemy-orm(sqlalchemy ORM 测试)
来源仓库:https://github.com/bobmatnyc/claude-mpm-skills
仓库路径:skills/sqlalchemy-orm
安装命令:
npx skills add https://github.com/bobmatnyc/claude-mpm-skills --skill sqlalchemy-orm
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/bobmatnyc/claude-mpm-skills --skill sqlalchemy-orm

这个 Skill 是做什么的

这个 Skill 的分类还没最终确定,用法以来源仓库的说明为准。

Python SQL 工具包和 ORM 具有现代查询生成器、关系映射和异步支持。

支持带有类型提示的 SQLAlchemy 2.0 现代 API、select() 查询和映射[T] 声明式模型;包括通过 AsyncSession 的异步支持 和 AsyncSessionLocal 涵盖具有急切加载模式的一对多和多对多关系( selectinload, 加入负载 ) 防止N+1查询问题 通过依赖项注入与 FastAPI 集成,用于架构迁移的 Alembic 以及具有可配置池大小和回收功能的连接池 包括 CRUD 操作、事务管理、批处理操作以及使用 pytest 和内存中 SQLite 测试模式

来源仓库内路径:skills/sqlalchemy-orm

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/bobmatnyc/claude-mpm-skills --skill sqlalchemy…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

sqlalchemy-orm 怎么安装?

在终端执行 npx skills add https://github.com/bobmatnyc/claude-mpm-skills --skill sqlalchemy-orm。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

sqlalchemy-orm 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

sqlalchemy-orm 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

sqlalchemy-orm 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

sqlalchemy-orm 用的人多吗?

公开数据是累计安装 20,160 次,近一周安装 866 次,下载 7,067 次,GitHub 39 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

sqlalchemy-orm 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理待分类类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

待分类类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
infsh-cli

infsh CLI · Codex、Claude

4,374,576382权限未标注未明确未收录
ai-video-generation

AI 视频生成 · Codex、Claude

4,313,376382调用外部服务未明确有提醒
lark-openapi-explorer

云雀 OpenAPI 浏览器 · Codex、Claude

2,064,1209,011需要联网未明确有提醒
lark-workflow-standup-report

Lark 工作流程站立报告 · Codex、Claude

2,041,6328,978需要联网未明确通过
use-my-browser

使用我的浏览器 · Codex、Claude

1,848,49140操作浏览器未明确未通过
sqlalchemy-orm

sqlalchemy ORM 测试 · 本页

20,16039需要联网MIT通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

SQLAlchemy ORM Skill


progressive_disclosure: entry_point: summary: "Python SQL toolkit and ORM with powerful query builder and relationship mapping" when_to_use: - "When building Python applications with databases" - "When needing complex SQL queries with type safety" - "When working with FastAPI/Flask/Django" - "When needing database migrations (Alembic)" quick_start: - "pip install sqlalchemy" - "Define models with declarative base" - "Create engine and session" - "Query with select() and commit()" token_estimate: entry: 70-85 full: 4500-5500

Core Concepts

SQLAlchemy 2.0 Modern API

SQLAlchemy 2.0 introduced modern patterns with better type hints, improved query syntax, and async support.

Key Changes from 1.x:

  • select() instead of Query
  • Mapped[T] and mapped_column() for type hints
  • Explicit Session.execute() for queries
  • Better async support with AsyncSession

Installation

# Core SQLAlchemy
pip install sqlalchemy

# With async support
pip install sqlalchemy[asyncio] aiosqlite  # SQLite
pip install sqlalchemy[asyncio] asyncpg    # PostgreSQL

# With Alembic for migrations
pip install alembic

# FastAPI integration
pip install fastapi sqlalchemy

Declarative Models (SQLAlchemy 2.0)

Basic Model Definition

from datetime import datetime
from typing import Optional
from sqlalchemy import String, DateTime, ForeignKey, func
from sqlalchemy.orm import DeclarativeBase, Mapped, mapped_column, relationship

# Base class for all models
class Base(DeclarativeBase):
    pass

# User model with type hints
class User(Base):
    __tablename__ = "users"

    # Primary key
    id: Mapped[int] = mapped_column(primary_key=True)

    # Required fields
    email: Mapped[str] = mapped_column(String(255), unique=True, index=True)
    username: Mapped[str] = mapped_column(String(50), unique=True)
    hashed_password: Mapped[str] = mapped_column(String(255))

    # Optional fields
    full_name: Mapped[Optional[str]] = mapped_column(String(100))
    is_active: Mapped[bool] = mapped_column(default=True)

    # Timestamps with server defaults
    created_at: Mapped[datetime] = mapped_column(
        DateTime(timezone=True),
        server_default=func.now()
    )
    updated_at: Mapped[datetime] = mapped_column(
        DateTime(timezone=True),
        server_default=func.now(),
        onupdate=func.now()
    )

    # Relationships
    posts: Mapped[list["Post"]] = relationship(back_populates="author")

    def __repr__(self) -> str:
        return f"User(id={self.id}, email={self.email})"

Relationships

One-to-Many:

class Post(Base):
    __tablename__ = "posts"

    id: Mapped[int] = mapped_column(primary_key=True)
    title: Mapped[str] = mapped_column(String(200))
    content: Mapped[str]
    user_id: Mapped[int] = mapped_column(ForeignKey("users.id"))

    # Relationship with back_populates
    author: Mapped["User"] = relationship(back_populates="posts")
    tags: Mapped[list["Tag"]] = relationship(
        secondary="post_tags",
        back_populates="posts"
    )

Many-to-Many:

from sqlalchemy import Table, Column, Integer, ForeignKey

# Association table
post_tags = Table(
    "post_tags",
    Base.metadata,
    Column("post_id", Integer, ForeignKey("posts.id"), primary_key=True),
    Column("tag_id", Integer, ForeignKey("tags.id"), primary_key=True)
)

class Tag(Base):
    __tablename__ = "tags"

    id: Mapped[int] = mapped_column(primary_key=True)
    name: Mapped[str] = mapped_column(String(50), unique=True)

    posts: Mapped[list["Post"]] = relationship(
        secondary=post_tags,
        back_populates="tags"
    )

Database Setup

Engine and Session Configuration

from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker, Session
from sqlalchemy.pool import QueuePool

# Database URL formats
# SQLite: sqlite:///./database.db
# PostgreSQL: postgresql://user:pass@localhost/dbname
# MySQL: mysql+pymysql://user:pass@localhost/dbname

DATABASE_URL = "postgresql://user:pass@localhost/mydb"

# Create engine with connection pooling
engine = create_engine(
    DATABASE_URL,
    poolclass=QueuePool,
    pool_size=5,
    max_overflow=10,
    pool_pre_ping=True,  # Check connection before using
    echo=False  # Set True for SQL logging
)

# Session factory
SessionLocal = sessionmaker(
    bind=engine,
    autocommit=False,
    autoflush=False,
    expire_on_commit=False
)

# Create tables
Base.metadata.create_all(bind=engine)

Dependency Injection (FastAPI Pattern)

from typing import Generator

def get_db() -> Generator[Session, None, None]:
    """Database session dependency for FastAPI."""
    db = SessionLocal()
    try:
        yield db
    finally:
        db.close()

# Usage in FastAPI
from fastapi import Depends

@app.get("/users/{user_id}")
def get_user(user_id: int, db: Session = Depends(get_db)):
    return db.execute(
        select(User).where(User.id == user_id)
    ).scalar_one_or_none()

Query Patterns (SQLAlchemy 2.0)

Select Queries

from sqlalchemy import select, and_, or_, desc, func

# Basic select
stmt = select(User).where(User.email == "user@example.com")
user = session.execute(stmt).scalar_one_or_none()

# Multiple conditions
stmt = select(User).where(
    and_(
        User.is_active == True,
        User.created_at > datetime(2024, 1, 1)
    )
)
users = session.execute(stmt).scalars().all()

# OR conditions
stmt = select(User).where(
    or_(
        User.email.like("%@gmail.com"),
        User.email.like("%@yahoo.com")
    )
)

# Ordering and limiting
stmt = (
    select(User)
    .where(User.is_active == True)
    .order_by(desc(User.created_at))
    .limit(10)
    .offset(20)
)

# Counting
stmt = select(func.count()).select_from(User)
count = session.execute(stmt).scalar()

Joins

# Inner join
stmt = (
    select(Post, User)
    .join(User, Post.user_id == User.id)
    .where(User.is_active == True)
)
results = session.execute(stmt).all()

# Left outer join
stmt = (
    select(User, func.count(Post.id).label("post_count"))
    .outerjoin(Post)
    .group_by(User.id)
)

# Multiple joins
stmt = (
    select(Post)
    .join(Post.author)
    .join(Post.tags)
    .where(Tag.name == "python")
)

Eager Loading (Solve N+1 Problem)

from sqlalchemy.orm import selectinload, joinedload

# selectinload - separate query (better for collections)
stmt = select(User).options(selectinload(User.posts))
users = session.execute(stmt).scalars().all()
# Now users[0].posts won't trigger additional queries

# joinedload - single query with join (better for one-to-one)
stmt = select(Post).options(joinedload(Post.author))
posts = session.execute(stmt).unique().scalars().all()

# Nested eager loading
stmt = select(User).options(
    selectinload(User.posts).selectinload(Post.tags)
)

# Load only specific columns
from sqlalchemy.orm import load_only
stmt = select(User).options(load_only(User.id, User.email))

CRUD Operations

Create

def create_user(db: Session, email: str, username: str, password: str):
    """Create new user."""
    user = User(
        email=email,
        username=username,
        hashed_password=hash_password(password)
    )
    db.add(user)
    db.commit()
    db.refresh(user)  # Get updated fields (id, timestamps)
    return user

# Bulk insert
users = [
    User(email=f"user{i}@example.com", username=f"user{i}")
    for i in range(100)
]
db.add_all(users)
db.commit()

Read

def get_user_by_email(db: Session, email: str) -> Optional[User]:
    """Get user by email."""
    stmt = select(User).where(User.email == email)
    return db.execute(stmt).scalar_one_or_none()

def get_users(
    db: Session,
    skip: int = 0,
    limit: int = 100
) -> list[User]:
    """Get paginated users."""
    stmt = (
        select(User)
        .where(User.is_active == True)
        .order_by(User.created_at.desc())
        .offset(skip)
        .limit(limit)
    )
    return db.execute(stmt).scalars().all()

Update

def update_user(db: Session, user_id: int, **kwargs):
    """Update user fields."""
    stmt = select(User).where(User.id == user_id)
    user = db.execute(stmt).scalar_one_or_none()

    if not user:
        return None

    for key, value in kwargs.items():
        setattr(user, key, value)

    db.commit()
    db.refresh(user)
    return user

# Bulk update
from sqlalchemy import update

stmt = (
    update(User)
    .where(User.is_active == False)
    .values(deleted_at=datetime.utcnow())
)
db.execute(stmt)
db.commit()

Delete

def delete_user(db: Session, user_id: int) -> bool:
    """Delete user."""
    stmt = select(User).where(User.id == user_id)
    user = db.execute(stmt).scalar_one_or_none()

    if not user:
        return False

    db.delete(user)
    db.commit()
    return True

# Bulk delete
from sqlalchemy import delete

stmt = delete(User).where(User.is_active == False)
db.execute(stmt)
db.commit()

Transactions and Session Management

Context Manager Pattern

from contextlib import contextmanager

@contextmanager
def get_db_session():
    """Session context manager."""
    session = SessionLocal()
    try:
        yield session
        session.commit()
    except Exception:
        session.rollback()
        raise
    finally:
        session.close()

# Usage
with get_db_session() as db:
    user = create_user(db, "test@example.com", "testuser", "password")
    # Auto-commits on success, rollback on exception

Manual Transaction Control

def transfer_money(db: Session, from_user_id: int, to_user_id: int, amount: float):
    """Transfer money between users with transaction."""
    try:
        # Begin nested transaction
        with db.begin_nested():
            # Deduct from sender
            stmt = select(User).where(User.id == from_user_id).with_for_update()
            sender = db.execute(stmt).scalar_one()
            sender.balance -= amount

            # Add to receiver
            stmt = select(User).where(User.id == to_user_id).with_for_update()
            receiver = db.execute(stmt).scalar_one()
            receiver.balance += amount

        db.commit()
    except Exception as e:
        db.rollback()
        raise

Async SQLAlchemy

Async Setup

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

# Async engine (note: asyncpg for PostgreSQL, aiosqlite for SQLite)
DATABASE_URL = "postgresql+asyncpg://user:pass@localhost/mydb"

async_engine = create_async_engine(
    DATABASE_URL,
    echo=False,
    pool_size=5,
    max_overflow=10
)

# Async session factory
AsyncSessionLocal = async_sessionmaker(
    async_engine,
    class_=AsyncSession,
    expire_on_commit=False
)

# Create tables
async def init_db():
    async with async_engine.begin() as conn:
        await conn.run_sync(Base.metadata.create_all)

Async CRUD Operations

async def get_user_async(user_id: int) -> Optional[User]:
    """Get user asynchronously."""
    async with AsyncSessionLocal() as session:
        stmt = select(User).where(User.id == user_id)
        result = await session.execute(stmt)
        return result.scalar_one_or_none()

async def create_user_async(email: str, username: str) -> User:
    """Create user asynchronously."""
    async with AsyncSessionLocal() as session:
        user = User(email=email, username=username)
        session.add(user)
        await session.commit()
        await session.refresh(user)
        return user

# FastAPI async dependency
async def get_async_db():
    async with AsyncSessionLocal() as session:
        yield session

@app.get("/users/{user_id}")
async def get_user_endpoint(
    user_id: int,
    db: AsyncSession = Depends(get_async_db)
):
    stmt = select(User).where(User.id == user_id)
    result = await db.execute(stmt)
    return result.scalar_one_or_none()

Alembic Migrations

Setup Alembic

# Initialize Alembic
alembic init alembic

# Edit alembic.ini - set database URL
# sqlalchemy.url = postgresql://user:pass@localhost/mydb

# Or use env variable in alembic/env.py

Configure Alembic

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

# Add your model's MetaData
target_metadata = Base.metadata

def run_migrations_online():
    """Run migrations in 'online' mode."""
    configuration = config.get_section(config.config_ini_section)
    configuration["sqlalchemy.url"] = os.getenv("DATABASE_URL")

    connectable = engine_from_config(
        configuration,
        prefix="sqlalchemy.",
        poolclass=pool.NullPool,
    )

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

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

Create and Apply Migrations

# Auto-generate migration from model changes
alembic revision --autogenerate -m "Add users table"

# Review generated migration in alembic/versions/

# Apply migration
alembic upgrade head

# Rollback one version
alembic downgrade -1

# Show current version
alembic current

# Show migration history
alembic history

Manual Migration Example

# alembic/versions/xxx_add_users.py
from alembic import op
import sqlalchemy as sa

def upgrade():
    op.create_table(
        'users',
        sa.Column('id', sa.Integer(), nullable=False),
        sa.Column('email', sa.String(255), nullable=False),
        sa.Column('username', sa.String(50), nullable=False),
        sa.PrimaryKeyConstraint('id')
    )
    op.create_index('ix_users_email', 'users', ['email'], unique=True)

def downgrade():
    op.drop_index('ix_users_email', table_name='users')
    op.drop_table('users')

FastAPI Integration

Complete FastAPI Example

from fastapi import FastAPI, Depends, HTTPException, status
from sqlalchemy.orm import Session
from pydantic import BaseModel, EmailStr
from typing import List

app = FastAPI()

# Pydantic schemas
class UserBase(BaseModel):
    email: EmailStr
    username: str

class UserCreate(UserBase):
    password: str

class UserResponse(UserBase):
    id: int
    is_active: bool
    created_at: datetime

    class Config:
        from_attributes = True  # SQLAlchemy 2.0 (was orm_mode)

# CRUD operations
@app.post("/users/", response_model=UserResponse, status_code=status.HTTP_201_CREATED)
def create_user_endpoint(user: UserCreate, db: Session = Depends(get_db)):
    # Check if user exists
    stmt = select(User).where(User.email == user.email)
    if db.execute(stmt).scalar_one_or_none():
        raise HTTPException(
            status_code=status.HTTP_400_BAD_REQUEST,
            detail="Email already registered"
        )

    # Create user
    db_user = User(
        email=user.email,
        username=user.username,
        hashed_password=hash_password(user.password)
    )
    db.add(db_user)
    db.commit()
    db.refresh(db_user)
    return db_user

@app.get("/users/{user_id}", response_model=UserResponse)
def read_user(user_id: int, db: Session = Depends(get_db)):
    stmt = select(User).where(User.id == user_id)
    user = db.execute(stmt).scalar_one_or_none()

    if not user:
        raise HTTPException(
            status_code=status.HTTP_404_NOT_FOUND,
            detail="User not found"
        )
    return user

@app.get("/users/", response_model=List[UserResponse])
def list_users(
    skip: int = 0,
    limit: int = 100,
    db: Session = Depends(get_db)
):
    stmt = (
        select(User)
        .where(User.is_active == True)
        .offset(skip)
        .limit(limit)
    )
    return db.execute(stmt).scalars().all()

@app.put("/users/{user_id}", response_model=UserResponse)
def update_user(
    user_id: int,
    user_update: UserBase,
    db: Session = Depends(get_db)
):
    stmt = select(User).where(User.id == user_id)
    db_user = db.execute(stmt).scalar_one_or_none()

    if not db_user:
        raise HTTPException(
            status_code=status.HTTP_404_NOT_FOUND,
            detail="User not found"
        )

    db_user.email = user_update.email
    db_user.username = user_update.username
    db.commit()
    db.refresh(db_user)
    return db_user

@app.delete("/users/{user_id}", status_code=status.HTTP_204_NO_CONTENT)
def delete_user(user_id: int, db: Session = Depends(get_db)):
    stmt = select(User).where(User.id == user_id)
    db_user = db.execute(stmt).scalar_one_or_none()

    if not db_user:
        raise HTTPException(
            status_code=status.HTTP_404_NOT_FOUND,
            detail="User not found"
        )

    db.delete(db_user)
    db.commit()

Testing with Pytest

Test Database Setup

import pytest
from sqlalchemy import create_engine, StaticPool
from sqlalchemy.orm import sessionmaker

# In-memory SQLite for testing
SQLALCHEMY_TEST_DATABASE_URL = "sqlite:///:memory:"

@pytest.fixture(scope="function")
def db_session():
    """Create test database session."""
    engine = create_engine(
        SQLALCHEMY_TEST_DATABASE_URL,
        connect_args={"check_same_thread": False},
        poolclass=StaticPool,
    )

    # Create tables
    Base.metadata.create_all(bind=engine)

    TestingSessionLocal = sessionmaker(
        autocommit=False,
        autoflush=False,
        bind=engine
    )

    session = TestingSessionLocal()
    try:
        yield session
    finally:
        session.close()
        Base.metadata.drop_all(bind=engine)

@pytest.fixture(scope="function")
def test_user(db_session):
    """Create test user."""
    user = User(
        email="test@example.com",
        username="testuser",
        hashed_password="hashed"
    )
    db_session.add(user)
    db_session.commit()
    db_session.refresh(user)
    return user

Test Examples

def test_create_user(db_session):
    """Test user creation."""
    user = User(email="new@example.com", username="newuser")
    db_session.add(user)
    db_session.commit()

    assert user.id is not None
    assert user.email == "new@example.com"
    assert user.created_at is not None

def test_query_user(db_session, test_user):
    """Test user query."""
    stmt = select(User).where(User.email == "test@example.com")
    found_user = db_session.execute(stmt).scalar_one()

    assert found_user.id == test_user.id
    assert found_user.username == test_user.username

def test_update_user(db_session, test_user):
    """Test user update."""
    test_user.username = "updated"
    db_session.commit()

    stmt = select(User).where(User.id == test_user.id)
    updated_user = db_session.execute(stmt).scalar_one()
    assert updated_user.username == "updated"

def test_delete_user(db_session, test_user):
    """Test user deletion."""
    user_id = test_user.id
    db_session.delete(test_user)
    db_session.commit()

    stmt = select(User).where(User.id == user_id)
    assert db_session.execute(stmt).scalar_one_or_none() is None

Performance Optimization

Query Optimization

# Use indexes
class User(Base):
    __tablename__ = "users"

    email: Mapped[str] = mapped_column(String(255), index=True, unique=True)
    created_at: Mapped[datetime] = mapped_column(index=True)

    # Composite index
    __table_args__ = (
        Index('ix_user_email_active', 'email', 'is_active'),
    )

# Use select_from for complex queries
stmt = (
    select(func.count(Post.id))
    .select_from(User)
    .join(Post)
    .where(User.is_active == True)
)

# Use contains_eager for joined loads
from sqlalchemy.orm import contains_eager

stmt = (
    select(Post)
    .join(Post.author)
    .options(contains_eager(Post.author))
    .where(User.is_active == True)
)

Connection Pooling

# Configure pool
engine = create_engine(
    DATABASE_URL,
    pool_size=20,           # Number of connections to keep
    max_overflow=10,        # Additional connections when pool full
    pool_timeout=30,        # Seconds to wait for connection
    pool_recycle=3600,      # Recycle connections after 1 hour
    pool_pre_ping=True      # Verify connections before use
)

# Monitor pool
from sqlalchemy import event

@event.listens_for(engine, "connect")
def receive_connect(dbapi_conn, connection_record):
    print("New connection established")

@event.listens_for(engine, "checkout")
def receive_checkout(dbapi_conn, connection_record, connection_proxy):
    print("Connection checked out from pool")

Batch Operations

# Bulk insert with executemany
from sqlalchemy import insert

data = [
    {"email": f"user{i}@example.com", "username": f"user{i}"}
    for i in range(1000)
]

stmt = insert(User)
db.execute(stmt, data)
db.commit()

# Bulk update
from sqlalchemy import update

stmt = (
    update(User)
    .where(User.is_active == False)
    .values(deleted_at=func.now())
)
db.execute(stmt)

Best Practices

  1. Use SQLAlchemy 2.0 Syntax: Modern API with better type hints
  2. Type Annotations: Use Mapped[T] and mapped_column()
  3. Eager Loading: Solve N+1 queries with selectinload/joinedload
  4. Session Management: Use dependency injection pattern
  5. Migrations: Always use Alembic for schema changes
  6. Indexes: Add indexes for frequently queried columns
  7. Connection Pooling: Configure appropriate pool settings
  8. Testing: Use in-memory SQLite for fast tests
  9. Async: Use AsyncSession for async frameworks
  10. Error Handling: Always handle NoResultFound and MultipleResultsFound

Common Patterns

Repository Pattern

from typing import Generic, TypeVar, Type
from sqlalchemy.orm import Session

T = TypeVar('T', bound=Base)

class BaseRepository(Generic[T]):
    def __init__(self, model: Type[T], db: Session):
        self.model = model
        self.db = db

    def get(self, id: int) -> Optional[T]:
        stmt = select(self.model).where(self.model.id == id)
        return self.db.execute(stmt).scalar_one_or_none()

    def get_all(self, skip: int = 0, limit: int = 100) -> list[T]:
        stmt = select(self.model).offset(skip).limit(limit)
        return self.db.execute(stmt).scalars().all()

    def create(self, obj: T) -> T:
        self.db.add(obj)
        self.db.commit()
        self.db.refresh(obj)
        return obj

    def delete(self, id: int) -> bool:
        obj = self.get(id)
        if obj:
            self.db.delete(obj)
            self.db.commit()
            return True
        return False

# Usage
user_repo = BaseRepository(User, db)
user = user_repo.get(1)

Soft Delete Pattern

class SoftDeleteMixin:
    deleted_at: Mapped[Optional[datetime]] = mapped_column(default=None)

    @property
    def is_deleted(self) -> bool:
        return self.deleted_at is not None

class User(Base, SoftDeleteMixin):
    __tablename__ = "users"
    # ... fields

# Query only active records
stmt = select(User).where(User.deleted_at.is_(None))

# Soft delete
user.deleted_at = datetime.utcnow()
db.commit()

Audit Trail Pattern

class AuditMixin:
    created_at: Mapped[datetime] = mapped_column(
        DateTime(timezone=True),
        server_default=func.now()
    )
    updated_at: Mapped[datetime] = mapped_column(
        DateTime(timezone=True),
        server_default=func.now(),
        onupdate=func.now()
    )
    created_by: Mapped[Optional[int]] = mapped_column(ForeignKey("users.id"))
    updated_by: Mapped[Optional[int]] = mapped_column(ForeignKey("users.id"))

class Post(Base, AuditMixin):
    __tablename__ = "posts"
    # ... fields

Resources

Related Skills

When using Sqlalchemy, these skills enhance your workflow:

  • django: Django ORM patterns and migration strategies for comparison
  • test-driven-development: TDD patterns for database models and queries
  • fastapi-local-dev: FastAPI + SQLAlchemy integration patterns
  • systematic-debugging: Advanced debugging for ORM query issues and N+1 problems

[Full documentation available in these skills if deployed in your bundle]

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