Created
August 10, 2015 06:21
-
-
Save ronreiter/98916876e14534fa8ab2 to your computer and use it in GitHub Desktop.
SQLAlchemy Example
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
from sqlalchemy import Column, Integer, String, ForeignKey, create_engine | |
from sqlalchemy.ext.declarative import declarative_base | |
from sqlalchemy.orm import relationship, backref, sessionmaker, joinedload | |
# For this example we will use an in-memory sqlite DB. | |
# Let's also configure it to echo everything it does to the screen. | |
engine = create_engine('sqlite:///:memory:', echo=True) | |
# The base class which our objects will be defined on. | |
Base = declarative_base() | |
# Our User object, mapped to the 'users' table | |
class User(Base): | |
__tablename__ = 'users' | |
# Every SQLAlchemy table should have a primary key named 'id' | |
id = Column(Integer, primary_key=True) | |
name = Column(String) | |
fullname = Column(String) | |
password = Column(String) | |
# Lets us print out a user object conveniently. | |
def __repr__(self): | |
return "<User(name='%s', fullname='%s', password'%s')>" % ( | |
self.name, self.fullname, self.password) | |
# The Address object stores the addresses | |
# of a user in the 'adressess' table. | |
class Address(Base): | |
__tablename__ = 'addresses' | |
id = Column(Integer, primary_key=True) | |
email_address = Column(String, nullable=False) | |
# Since we have a 1:n relationship, we need to store a foreign key | |
# to the users table. | |
user_id = Column(Integer, ForeignKey('users.id')) | |
# Defines the 1:n relationship between users and addresses. | |
# Also creates a backreference which is accessible from a User object. | |
user = relationship("User", backref=backref('addresses')) | |
# Lets us print out an address object conveniently. | |
def __repr__(self): | |
return "<Address(email_address='%s')>" % self.email_address | |
# Create all tables by issuing CREATE TABLE commands to the DB. | |
Base.metadata.create_all(engine) | |
# Creates a new session to the database by using the engine we described. | |
Session = sessionmaker(bind=engine) | |
session = Session() | |
# Let's create a user and add two e-mail addresses to that user. | |
ed_user = User(name='ed', fullname='Ed Jones', password='edspassword') | |
ed_user.addresses = [Address(email_address='[email protected]'), Address(email_address='[email protected]')] | |
# Let's add the user and its addresses we've created to the DB and commit. | |
session.add(ed_user) | |
session.commit() | |
# Now let's query the user that has the e-mail address [email protected] | |
# SQLAlchemy will construct a JOIN query automatically. | |
user_by_email = session.query(User)\ | |
.filter(Address.email_address=='[email protected]')\ | |
.first() | |
print user_by_email | |
# This will cause an additional query by lazy loading from the DB. | |
print user_by_email.addresses | |
# To avoid querying again when getting all addresses of a user, | |
# we use the joinedload option. SQLAlchemy will load all results and hide | |
# the duplicate entries from us, so we can then get for | |
# the user's addressess without an additional query to the DB. | |
user_by_email = session.query(User)\ | |
.filter(Address.email_address=='[email protected]')\ | |
.options(joinedload(User.addresses))\ | |
.first() | |
print user_by_email | |
print user_by_email.addresses | |
7 years later and this is still the best reference material when bootstrapping sqlalchemy ever.
Thanks @Nine-H!
Useful example, Many thanks dear@ronreiter
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
You helped me a lot, thank you for such a great example!