Orator – The Best ORM Library in Python

Hello everyone, I am Zhang Ge, and today I am bringing you a very useful ORM library in Python – Orator. If you find those tedious database operations troublesome, Orator will be your good helper, making database operations in Python as easy as handling files. Let’s take a look at the charm of Orator!

Library Function Introduction

Orator is a lightweight Object-Relational Mapping (ORM) framework that allows you to operate databases without using complex SQL statements. Imagine if you could handle database operations in an object-oriented way, how much trouble it would save! For example, creating, reading, updating, and deleting records can be as simple as manipulating class objects.

Feature Summary

In Orator, the following major features will definitely impress you:

• 🌟 Connect to Multiple Databases: Orator supports various databases such as MySQL, PostgreSQL, SQLite, etc. Isn’t that comprehensive?
• 📍 Model Mapping: You can define Python classes to map tables in the database, making database operations as easy as handling dictionaries.
• 🚀 Fast and Efficient Queries: You can quickly complete complex query operations using short statements, making it a real accelerator for database operations.
• 📦 Transaction Handling: Transaction handling makes your operations safer, allowing you to easily manage prepare, execute, and rollback operations.

Installation, Configuration, Core Concepts, and Practical Introduction

First, you need to prepare the environment installation, which can be done easily with pip:

pip install orator

Next, you need to configure the database connection:

from orator import DatabaseManager, Model

config = {
    'connections': {
        'sqlite': {
            'driver': 'sqlite',
            'database': 'example.sqlite',
        }
    },
    'default': 'sqlite'
}

db = DatabaseManager(config)
Model.set_connection_resolver(db)

Now, we can define a model class that maps to a table in the database:

from orator import Model

class User(Model):
    __fillable__ = ['email', 'name']

Then add data:

user = User(email="[email protected]", name="John Doe")
user.save()

Finally, query the data:

users = User.where('name', 'John Doe').get()
print(users)

Frequently Asked Questions

Q: What should I do if the database connection fails? A: Please check if your configuration file is correct, whether the database is started, and if the IP and port are correct.

Q: Why do I always get an error when creating data? A: Check if the data types you defined match those in the database, and ensure that you haven’t missed any required fields.

Advanced Feature Introduction

For example, to insert data in bulk, you can simply use the

insert

method:

User.insert([
    {'email': '[email protected]', 'name': 'User One'},
    {'email': '[email protected]', 'name': 'User Two'}
])

Summary of Today’s Learning

Through today’s introduction, you should have a preliminary understanding of Orator and learned how to use it to simplify database operations. If you find this content helpful, feel free to follow me for more Python programming tips. See you next time! 🚀