Differences between OAuth and JWT in Django

OAuth(Open Authorization) and JWT(Json web token) are both standards for authorization and authentication. OAuth is suitable for delegating user authorization, accessing third-party applications, and session management.

OAuth allows third-party services such as Facebook and Google to use end-user account information without exposing the user’s account credentials to a third party.

JWT is suitable for stateless applications, API authentication, and server-to-server authorization. A JWT contains a JSON object with information that needs to be shared. Additionally, each JWT is cryptographically signed, so that clients or malicious parties cannot modify JSON content

When to Use JWT vs. OAuth:

Use JWT When:

1. You're building a stateless authentication system, such as a RESTful API.

2. You want a lightweight and straightforward authentication mechanism.

3. You have full control over both the client and the server.

4. You don't need to delegate access to third-party applications.

Use OAuth When:

1. You need to allow third-party applications to access user resources without sharing credentials.

2. You're integrating with external services or platforms that support OAuth.

3. You want to implement delegated authorization for users.

4. You're building a complex web application where fine-grained access control is necessary.

Implementation of JWT

Here's a basic code example demonstrating JWT authentication in Django using djangorestframework-simplejwt

implementation of Oauth

implementing OAuth authentication in Django using the django-oauth-toolkit library

https://django-oauth-toolkit.readthedocs.io/en/latest/rest-framework/getting_started.html

Comments

Implementing Advance Query Optimization in Django ORM

Django's ORM makes database interactions seamless, allowing developers to write queries in Python without raw SQL. However, as applications scale, inefficient queries can slow down performance, leading to high latency and database load. This guide explores advanced query optimization techniques in Django ORM to go beyond basic CRUD (Create, Read, Update, Delete) operations and improve efficiency. 1. Use QuerySet Caching to Avoid Repeated Queries Using cache reduces redundant queries for frequently accessed data. Caching helps reduce repeated database hits. 2. Avoid .count() on Large Datasets Using .count() on large tables can be expensive Inefficient way: Optimized way ( .exists() is Faster) 3. Use Indexes for Faster Lookups Indexes speed up queries on frequently filtered fields. Add db_index=True for frequently queried fields: 4. Optimize Bulk Inserts and Updated Performing operations on multiple records one by one is inefficient. Use bulk_create() for mass insert...

Database Indexing in Django application

Database Indexing Database indexing is a technique used to optimize the performance of database queries by allowing the database management system (DBMS) to quickly locate and retrieve specific rows of data. Indexes are data structures that provide a faster way to look up records based on the values stored in one or more columns of a table. When you create an index on a table, the DBMS creates a separate data structure that maps the values in the indexed columns to the corresponding rows in the table. Default Type of Index is B-Tree Index ( The king of all indexes) বইতে কোন টপিক খুজতে গেলে আমরা টেবিল অফ কনটেন্ট থেকে দেখি এই টপিক কত নম্বর পেজে আছে।যাতে করে আমাদের পুরো বই খুজতে না হয়। ডেটাবেজ ইনডেক্সিং ও তেমনই একটা ইফিসিয়েন্ট টেকনিক।ডেটাবেজে কোন ডেটাকে দ্রুত খুজে বের করার জন্য ইনডেক্সিং করা লাগে।যদি এমন হয় একটা কুয়েরি বার বার এক্সিকিউট করতে হচ্ছে এবং একটা কলাম থেকে ভ্যালু বার বার খুজতে হচ্ছে তখন আমরা সেই কলামে ইনডেক্সিং করতে পারি।এর মাধ্যমে কোন ডেটা দ্রুত রিট্রাইভ করা যায়।কিন্তু ই...

Django select_related and prefetch_related

Difference between select_related and prefetch_related Reducing SQL queries is one of the first steps when optimizing a Django project. There are two powerful methods included in the Django ORM to help us that can boost performance by creating a single more complex QuerySet rather than multiple, smaller queries. In this project we will understand about select_related and prefetch_related. Django use these two orm method to reduce sql queries in database based on different scenario. select_related Lets assume this two model we have. class Author ( models . Model ): name = models . CharField ( max_length = 200 ) def __str__ ( self ): return self . name class Courses ( models . Model ): name = models . CharField ( max_length = 200 ) author = models . ForeignKey ( Author , on_delete = models . CASCADE , related_name = 'courses' ) def __str__ ( self ): return self . name Here we have two mode. ...

Django Interview Preparation

Search This Blog