使用调试工具栏进行性能分析
测量查询次数和耗时
使用调试工具栏进行性能分析 是 CoddyKit 上的免费 Django Academy 课时。 这是第 4 节课，共 4 节。 你可以在下方免费阅读本课时的完整内容 — 然后在浏览器中使用内置代码编辑器和全天候 AI 导师进行实践。 这是 Django Academy 学习路径的一部分，你的进度在网页和 CoddyKit 应用中同步。 Django Academy 课程共包含 4 节课。
本课时的部分内容尚未翻译，以英文显示。
Measure, Do Not Guess
The Django Debug Toolbar shows exactly how many queries a page runs, so you optimize with facts instead of hunches. 🔍
Install It
You add it with pip, just like any package. It is a development tool, so it never ships to production.
pip install django-debug-toolbarRegister the App
Add it to INSTALLED_APPS so Django loads its panels and knows the toolbar exists.
INSTALLED_APPS += ['debug_toolbar']Add the Middleware
Its middleware injects the panel into HTML responses, so it sits near the top of your middleware list.
MIDDLEWARE += [
'debug_toolbar.middleware.DebugToolbarMiddleware']Allow Your IP
The toolbar only appears for IPs in INTERNAL_IPS, which keeps it visible to you but hidden from real visitors.
INTERNAL_IPS = ['127.0.0.1']The SQL Panel
The star panel is SQL. It lists every query a page ran, with its timing, right beside the rendered output.
Spot the Query Count
A surprisingly high query count is the classic fingerprint of N+1. The toolbar makes that number impossible to miss.
Find Duplicates
It even flags duplicate queries, the near-identical ones a loop fires over and over, pointing straight at the problem.
Confirm Your Fix
After adding select_related or prefetch_related, reload and watch the count drop. That is your proof the fix worked.
Read the Timings
Slow pages are not always about count. The toolbar shows time per query, so you can chase the truly expensive ones.
Keep It Dev-Only
Wrap toolbar settings behind your DEBUG flag. It can leak internals and slow pages, so production must never see it.
Quick Check
One last check on profiling habits.
Recap
The Debug Toolbar counts and times queries so you can spot N+1 and confirm fixes. Install it, allow your IP, and keep it dev-only. ✅
常见问题解答
「使用调试工具栏进行性能分析」课时是免费的吗？
是的 — 「使用调试工具栏进行性能分析」的完整文本可在网页上免费阅读。要进行交互式练习（内置代码编辑器和全天候 AI 导师）并解锁 Django Academy 课程的其余内容，请升级到 CoddyKit PRO。 Django Academy 课程共包含 4 节课。
「使用调试工具栏进行性能分析」这节课中我会学到什么？
测量查询次数和耗时 你通过在浏览器中直接运行的动手代码来练习 Django Academy，全天候 AI 导师会在你学习这节课的过程中回答你的问题。
学习 Django Academy 需要有经验吗？
无需任何先前经验。CoddyKit 上的 Django Academy 课程适合初学者到高级学习者，你可以从这里开始或从头开始，按照自己的节奏学习。 这是第 4 节课，共 4 节。
「使用调试工具栏进行性能分析」课时需要多长时间？
大多数 CoddyKit 课程大约需要 5–10 分钟。每节课都很精短且互动，所以你能稳步进步，并在网页和应用中从离开的地方继续。
我能在这节 Django Academy 课中编写并运行代码吗？
能。每节 Django Academy 课都包含内置代码编辑器，你可以在浏览器中直接编写并运行真实代码，并获得即时 AI 反馈 — 无需本地设置。