python-mysqlHow do I use Python to create a MySQL Object-Relational Mapping?
Object-Relational Mapping (ORM) is a technique that allows developers to interact with databases using objects. To use Python to create an ORM, the developer must first install the Python package SQLAlchemy. This package provides an interface to interact with various database systems, including MySQL.
Once SQLAlchemy is installed, the developer must create a database engine. This can be done by providing the connection string to the database. For example, to create a MySQL engine, the following code can be used:
from sqlalchemy import create_engine
engine = create_engine('mysql+pymysql://username:password@hostname/database')
Next, the developer must create a Declarative Base object, which will be used to define the classes that will interact with the database. The Declarative Base must be passed the engine created in the previous step.
from sqlalchemy.ext.declarative import declarative_base
Base = declarative_base(engine)
Finally, the developer must define the classes that will be used to interact with the database. Each class must be a subclass of the Base object created in the previous step. For example, to create a table called users with columns id and name, the following code can be used:
from sqlalchemy import Column, Integer, String
class User(Base):
__tablename__ = 'users'
id = Column(Integer, primary_key=True)
name = Column(String)
Once the classes have been created, the developer can create the database tables by calling the create_all method on the Base object.
Base.metadata.create_all()
Finally, the developer can use the classes to interact with the database. For example, to insert a new user into the database, the following code can be used:
from sqlalchemy.orm import sessionmaker
Session = sessionmaker(bind=engine)
session = Session()
user = User(name='John Doe')
session.add(user)
session.commit()
The above code will insert a new user into the users table with the name John Doe.
List of Code Parts with Explanation
from sqlalchemy import create_engine: This imports thecreate_enginefunction from thesqlalchemypackage, which is used to create a database engine.engine = create_engine('mysql+pymysql://username:password@hostname/database'): This creates a database engine using the connection string provided.from sqlalchemy.ext.declarative import declarative_base: This imports thedeclarative_basefunction from thesqlalchemy.ext.declarativepackage, which is used to create aDeclarative Baseobject.Base = declarative_base(engine): This creates aDeclarative Baseobject using the engine created in the previous step.class User(Base):: This creates a class calledUserwhich is a subclass of theBaseobject.__tablename__ = 'users': This specifies the name of the table that the class will interact with.id = Column(Integer, primary_key=True): This creates a column calledidin theuserstable with the data typeIntegerand sets it as the primary key.name = Column(String): This creates a column callednamein theuserstable with the data typeString.Base.metadata.create_all(): This creates the tables in the database based on the classes created.from sqlalchemy.orm import sessionmaker: This imports thesessionmakerfunction from thesqlalchemy.ormpackage, which is used to create aSessionobject.Session = sessionmaker(bind=engine): This creates aSessionobject using the engine created in the first step.session = Session(): This creates aSessionobject using theSessionobject created in the previous step.user = User(name='John Doe'): This creates aUserobject with the nameJohn Doe.session.add(user): This adds theUserobject to theSession.session.commit(): This commits the changes to the database.
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