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SQLAlchemy is an object-relational mapping (ORM) tool based on python that allows developers to use Python Objects interact with relational databases. ORM is a technology that maps data in a relational database to Python objects in memory. It can greatly simplify data access logic and reduce the amount of code writing. The core idea of SQLAlchemy is to map tables in a relational database to Python classes, and rows in a relational database to instances of Python objects. Through this mapping, developers can use Python code to operate data in relational databases without directly writing SQL statements.
Basic usage of SQLAlchemy
n object, which will be responsible for managing the interaction with the relational database. Next, you can define one or more classes to map tables in the relational database, and define corresponding properties in these classes to map columns in the relational database. Finally, you can use the Session object to query, insert, update, and delete data. The following is a simple example that demonstrates how to use SQLAlchemy to connect to a database, define a class to map a table, and query data:
from sqlalchemy import create_engine, Column, Integer, String from sqlalchemy.orm import sessionmaker # 创建一个Engine对象 engine = create_engine("sqlite:///test.db") # 创建一个Session对象 Session = sessionmaker(bind=engine) session = Session() # 定义一个类来映射表 class User(Base): __tablename__ = "user" id = Column(Integer, primary_key=True) name = Column(String(50)) # 查询数据 users = session.query(User).all() # 打印查询结果 for user in users: print(user.name)
In the above example, we first created an Engine object that will be responsible for connecting to the SQLite database named test.db. We then created a Session object that will be responsible for managing interaction with the database. Next, we define a class named User to map the user table. This class contains two attributes: id and name, which are mapped to the id column and name column in the user table respectively. Finally, we use the Session object to query all data in the user table and print the query results.
SQLAlchemy’s common
Interview questions, so you may encounter a variety of questions during the interview. Here are some common SQLAlchemy interview questions:
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