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atenliao

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Use SQLAlchemy to CRUD SQLite

#python

What is SQLAIchemy? It is python toolkit to interact with SQL database and query your data, which means you can write your query in form of string or chain objects in python to build high-perform SQL backend or application.

  1. Install Python 3.8 on Ubuntu 22.04 LTS
  2. update system 
sudo apt update && sudo apt upgrade
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  1. add PPA for Python 3.8 
sudo apt install software-properties-common
sudo add-apt-repository ppa:deadsnakes/ppa
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  1. Check python version 
sudo apt-cache policy python3.8
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  1. install Python 3.8 on Ubuntu or Ubuntu on WSL2 
sudo apt install python3.8
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  1. set default version 
sudo update-alternatives --install /usr/bin/python python /usr/bin/python3.8 2
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sudo update-alternatives --install /usr/bin/python python /usr/bin/python3.10 3
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  1. Install Pipenv Globally
  2. In Terminal upgrade pip 
python3.8 -m pip install pip --upgrade
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  1. install pipenv 
python3.8 -m pip install pipenv
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3. Navigate to your project to install SQLAIchemy

cd /Project
python3.8 -m pipenv install sqlalchemy=="1.4.41" alembic
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4.Connecting the database

from sqlaichemy as mydb
engine = mydb.create_engine(sqlite:///empolyee_database.db)
connect = engine.connect()
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5.Create Table

metadata = mydb.MetaData()
Employee = mydb.Table('Employee',metadata,
           mydb.Column('Id',mydb.Integer(),primary_key=True),
           mydb.Column('Name',mydb.string(255), nullable=False),
           mydb.Column('department', mydb.string(50), nullable=False))
           mydb.Column('Time', mydb.string(50))
metadata.create_all(engine)
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6.Insert One

query=mydb.insert(Employee).values(Id=1, Name="Jone",department="Pick", Time='9 hours')
Recult=connect.execute(query)

display = connect.execute(Employee.select()).fetchall()
print(display)
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7.update data in database

mydb.update(Employee).values(Time = 'where hours').where(department='pack flow')
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8.delete Table

mydb.delete(Employee).where(id = 3)
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9.View table

employee= mydb.Table('employee', metadata,autoload=True, autoload_with=engine)
print(employee.columns.keys())
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To conclue, this is simple way to use sqlaichemy to access sql database. we can use it in our simple backend for web application

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