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graphql-python/graphene-sqlalchemy has 986 GitHub stars and 224 forks. Star changes are not measured yet. Last checked 2026-11-14 13:06 UTC. Last push 2026-11-05.

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소개

Graphene SQLAlchemy integration

데이터

README.md

Original

Version 3.0 is in beta stage. Please read https://github.com/graphql-python/graphene-sqlalchemy/issues/348 to learn about progress and changes in upcoming beta releases.


Graphene Logo Graphene-SQLAlchemy

Build Status PyPI version GitHub release (latest by date including pre-releases) codecov

A SQLAlchemy integration for Graphene.

Installation

For installing Graphene, just run this command in your shell.

pip install --pre "graphene-sqlalchemy"

Examples

Here is a simple SQLAlchemy model:

from sqlalchemy import Column, Integer, String

from sqlalchemy.ext.declarative import declarative_base

Base = declarative_base()

class UserModel(Base):
    __tablename__ = 'user'
    id = Column(Integer, primary_key=True)
    name = Column(String)
    last_name = Column(String)

To create a GraphQL schema for it, you simply have to write the following:

import graphene
from graphene_sqlalchemy import SQLAlchemyObjectType

class User(SQLAlchemyObjectType):
    class Meta:
        model = UserModel
        # use `only_fields` to only expose specific fields ie "name"
        # only_fields = ("name",)
        # use `exclude_fields` to exclude specific fields ie "last_name"
        # exclude_fields = ("last_name",)

class Query(graphene.ObjectType):
    users = graphene.List(User)

    def resolve_users(self, info):
        query = User.get_query(info)  # SQLAlchemy query
        return query.all()

schema = graphene.Schema(query=Query)

We need a database session first:

from sqlalchemy import (create_engine)
from sqlalchemy.orm import (scoped_session, sessionmaker)

engine = create_engine('sqlite:///database.sqlite3', convert_unicode=True)
db_session = scoped_session(sessionmaker(autocommit=False,
                                         autoflush=False,
                                         bind=engine))
# We will need this for querying, Graphene extracts the session from the base.
# Alternatively it can be provided in the GraphQLResolveInfo.context dictionary under context["session"]
Base.query = db_session.query_property()

Then you can simply query the schema:

query = '''
    query {
      users {
        name,
        lastName
      }
    }
'''
result = schema.execute(query, context_value={'session': db_session})

You may also subclass SQLAlchemyObjectType by providing abstract = True in your subclasses Meta:

from graphene_sqlalchemy import SQLAlchemyObjectType

class ActiveSQLAlchemyObjectType(SQLAlchemyObjectType):
    class Meta:
        abstract = True

    @classmethod
    def get_node(cls, info, id):
        return cls.get_query(info).filter(
            and_(cls._meta.model.deleted_at==None,
                 cls._meta.model.id==id)
            ).first()

class User(ActiveSQLAlchemyObjectType):
    class Meta:
        model = UserModel

class Query(graphene.ObjectType):
    users = graphene.List(User)

    def resolve_users(self, info):
        query = User.get_query(info)  # SQLAlchemy query
        return query.all()

schema = graphene.Schema(query=Query)

Full Examples

To learn more check out the following examples:

Contributing

See CONTRIBUTING.md

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