How Can I Log All SQL Queries in My Django Application for Performance Analysis?

Analyzing Django Database Performance by Logging SQL Queries

Effective database performance monitoring is critical for any Django application. This guide details how to log all SQL queries executed by your application, providing valuable insights for performance tuning and debugging.

Capturing and Logging All SQL Queries

This process involves configuring the LOGGING setting in your settings.py file. Here's a step-by-step breakdown:

1. Import connection: Import the necessary module to access the executed query list:

<code class="language-python">from django.db import connection</code>

2. Configure LOGGING: Add or modify the LOGGING settings in settings.py as follows:

<code class="language-python">LOGGING = {
    'version': 1,
    'filters': {
        'require_debug_true': {
            '()': 'django.utils.log.RequireDebugTrue',
        }
    },
    'handlers': {
        'console': {
            'level': 'DEBUG',
            'filters': ['require_debug_true'],
            'class': 'logging.StreamHandler',
        }
    },
    'loggers': {
        'django.db.backends': {
            'level': 'DEBUG',
            'handlers': ['console'],
        }
    }
}</code>

Understanding the Configuration

• handlers: The console handler outputs log messages to the console. The level is set to DEBUG to capture all debug-level messages. The require_debug_true filter ensures logging only occurs when DEBUG = True in your settings.

• loggers: The django.db.backends logger is targeted, as this is where database interaction logs are recorded. It's configured to use the console handler and log at the DEBUG level.

Complete Example

To view the queries, you can include the following in a suitable location (e.g., a management command or a test):

<code class="language-python">from django.db import connection

# ... (LOGGING configuration from above) ...

print(connection.queries)</code>

This comprehensive logging approach provides a detailed record of all database interactions, assisting in the identification of performance bottlenecks and debugging database-related issues. Remember to set DEBUG = True in your settings.py for this logging to function correctly. Consider using a more robust logging solution for production environments.

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