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Скачать или смотреть Joining Two Tables and Retrieving Data in Django

  • vlogize
  • 2025-03-30
  • 15
Joining Two Tables and Retrieving Data in Django
Joining two table and get data from both table based on certain column in djangopythondjango
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Описание к видео Joining Two Tables and Retrieving Data in Django

Learn how to join two tables in Django and retrieve data based on specific columns through simple examples and clear explanations.
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This video is based on the question https://stackoverflow.com/q/73488962/ asked by the user 'Ahm Shamim Reza' ( https://stackoverflow.com/u/17128477/ ) and on the answer https://stackoverflow.com/a/73489903/ provided by the user 'Ahmed Mansy' ( https://stackoverflow.com/u/17907353/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

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The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

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Joining Two Tables and Retrieving Data in Django: A Step-by-Step Guide

When working with databases in Django, you often need to join two or more tables to retrieve data based on certain conditions. In this guide, we’ll explore how to join two tables — transaction and member — and extract specific information from both, similar to an SQL query but using Django’s ORM (Object-Relational Mapping).

Understanding the Problem

You might find yourself in a situation where you have to combine data from two related tables. In our example, we have the following two tables:

Transaction Table: Contains transaction records with fields such as id, date, and member_id.

Member Table: Contains member information including id, name, and address.

The objective here is to join these tables based on the member_id in the transaction table corresponding to the id in the member table and obtain fields like transaction.id, transaction.date, member.name, and member.address.

To demonstrate this process, let’s break down the solution into clearer sections.

The SQL Query

In a traditional SQL approach, we would perform the join like this:

[[See Video to Reveal this Text or Code Snippet]]

This SQL command fetches the required fields from both tables, filters results based on their relationship, and orders the results by transaction.id.

The Django ORM Solution

Step 1: Using select_related

Django provides a powerful ORM that allows us to perform similar operations without writing raw SQL queries. We can achieve the join operation using select_related() which is specifically designed for fetching related objects using a SQL JOIN.

Here’s how it looks in Django:

[[See Video to Reveal this Text or Code Snippet]]

Step 2: Retrieving Data

Once you have your query set up, you can retrieve specific fields. Here’s how you can get the desired data in Django:

To print the IDs of transactions:

[[See Video to Reveal this Text or Code Snippet]]

This command gets a list of transaction IDs from the query.

To print names of members:

[[See Video to Reveal this Text or Code Snippet]]

Here, we are using the double underscore (__) notation to access the name field from the related member object.

Conclusion

Joining tables and retrieving data in Django using its ORM is straightforward and efficient. Instead of writing complex SQL queries, you can leverage Django’s built-in functions like select_related() along with convenient methods to access related fields. This not only simplifies your code but also makes it more maintainable and readable.

Whether you are building small projects or complex applications, understanding how to manipulate relationships between tables effectively is essential for any Django developer.

Happy coding!

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