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August 10, 2015 06:21
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SQLAlchemy Example
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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 | |
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7 years later and this is still the best reference material when bootstrapping sqlalchemy ever.