How to Execute Oracle SQL Query with Multiple Database Links in Django?

What will you learn?

In this tutorial, you will learn how to execute Oracle SQL queries with multiple database links in Django. You will understand the complexities involved in dealing with cross-database querying and how to overcome them by leveraging raw SQL queries.

Introduction to the Problem and Solution

When working with Django and needing to execute complex queries involving multiple database connections or database links, challenges may arise. This becomes especially tricky when interacting with Oracle databases due to their specific syntax for managing database links. However, by delving into Django’s database routing functionality and utilizing raw SQL queries, these challenges can be effectively tackled.

To address this issue, we will tap into Django’s capability of executing raw SQL queries directly on the Oracle database. By crafting custom SQL query strings that incorporate references to multiple database links within the Oracle environment, we can seamlessly retrieve data from disparate sources and integrate the results within our Django application.


from django.db import connections

def execute_complex_query():
    oracle_db_alias = 'oracle_db'

    sql_query = '''
    SELECT * 
    FROM table_on_remote_db@db_link_name;

    with connections[oracle_db_alias].cursor() as cursor:
        results = cursor.fetchall()

    return results

query_results = execute_complex_query()

# Copyright PHD

Note: Replace table_on_remote_db with your actual table name on the remote DB and db_link_name with your defined DB link name.


In this solution: 1. Define a function execute_complex_query() encapsulating the custom SQL query. 2. Specify an alias for the target Oracle database where remote tables are accessed. 3. Construct a raw SQL query string including references to tables accessed through a specific DB link. 4. Utilize Django’s connection handling mechanism along with cursors for executing raw SQL against the designated Oracle connection. 5. Fetch and return results obtained from executing the complex query involving multiple databases.

By following these steps, navigate around constraints related to cross-database querying in Django when dealing with an Oracle backend supporting multiple DB links.

  1. How do I define a new database connection in my Django project?

  2. To define a new database connection in your Django project, modify your project’s file by adding a dictionary object specifying details like engine type (‘’), name, user credentials etc.

  3. Can I access data from two different databases within a single ORM operation in Django?

  4. No, accessing data from two different databases simultaneously within a single ORM operation is not supported directly by default in Django due to its adherence towards atomicity and consistency principles.

  5. Is it advisable to use raw SQL queries frequently in my Python/Django projects?

  6. While raw SQL queries offer flexibility for advanced operations like cross-database querying or optimizations beyond ORM features, excessive usage should be avoided as it may compromise code readability and maintainability.

  7. How do I handle potential security risks associated with executing dynamic user-input based queries using raw SQL in Python applications?

  8. To mitigate risks such as injection attacks when executing dynamic user-input based queries via raw SQL commands; always prefer parameterized queries utilizing placeholders over direct string interpolation.

  9. What is an example scenario where one might need to perform operations across multiple databases using different connections within a single transaction block?

  10. Consider scenarios where you need distributed transactions spanning several systems or legacy applications necessitating coordination among various independent databases while ensuring ACID properties across all participating resources.


Cross-database querying involving multiple connections or external sources like Oracle Database Links presents unique challenges that can be effectively addressed through strategic use of RawSQL capabilities provided by frameworks like Django.

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