


Interception and logging of all Django SQL queries
Question:
Logging of all SQL queries executed by a Django application is valuable for debugging, performance analysis, and security monitoring. How can this be achieved, including every SQL statement generated by the Django admin interface?
Solution:
To log all SQL queries, enhance the LOGGING configuration in settings.py with the following directive:
<code>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>
Instructions:
This configuration adds a new handler called "console" that prints log messages to the console, but only when DEBUG mode is enabled. The 'django.db.backends' logger is configured to log all SQL queries at DEBUG level to this handler.
Usage:
To write all SQL queries to a file instead of the console, modify the "handlers" section as follows:
<code>'handlers': { 'file': { 'level': 'DEBUG', 'filters': ['require_debug_true'], 'class': 'logging.FileHandler', 'filename': '/path/to/all-sql.log', } }</code>
This will redirect all debug logs (including SQL queries) to the specified file.
The above is the detailed content of How Can I Log All Django SQL Queries, Including Admin Queries, for Debugging and Monitoring?. For more information, please follow other related articles on the PHP Chinese website!

This article addresses MySQL's "unable to open shared library" error. The issue stems from MySQL's inability to locate necessary shared libraries (.so/.dll files). Solutions involve verifying library installation via the system's package m

This article explores optimizing MySQL memory usage in Docker. It discusses monitoring techniques (Docker stats, Performance Schema, external tools) and configuration strategies. These include Docker memory limits, swapping, and cgroups, alongside

The article discusses using MySQL's ALTER TABLE statement to modify tables, including adding/dropping columns, renaming tables/columns, and changing column data types.

This article compares installing MySQL on Linux directly versus using Podman containers, with/without phpMyAdmin. It details installation steps for each method, emphasizing Podman's advantages in isolation, portability, and reproducibility, but also

This article provides a comprehensive overview of SQLite, a self-contained, serverless relational database. It details SQLite's advantages (simplicity, portability, ease of use) and disadvantages (concurrency limitations, scalability challenges). C

Article discusses configuring SSL/TLS encryption for MySQL, including certificate generation and verification. Main issue is using self-signed certificates' security implications.[Character count: 159]

This guide demonstrates installing and managing multiple MySQL versions on macOS using Homebrew. It emphasizes using Homebrew to isolate installations, preventing conflicts. The article details installation, starting/stopping services, and best pra

Article discusses popular MySQL GUI tools like MySQL Workbench and phpMyAdmin, comparing their features and suitability for beginners and advanced users.[159 characters]


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

SublimeText3 Linux new version
SublimeText3 Linux latest version

SublimeText3 Chinese version
Chinese version, very easy to use

EditPlus Chinese cracked version
Small size, syntax highlighting, does not support code prompt function

WebStorm Mac version
Useful JavaScript development tools

Notepad++7.3.1
Easy-to-use and free code editor
