Boost Django Query Performance with Database Indexes Tips

Boost Django Query Performance with Database Indexes TipsBoost Django Query Performance with Database Indexes Tips

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Tonye Onuoha

pro

• Apr 12

💡 𝗧𝗶𝗽 𝗼𝗳 𝘁𝗵𝗲 𝗗𝗮𝘆 — 𝗗𝗷𝗮𝗻𝗴𝗼

𝗗𝗶𝗱 𝘆𝗼𝘂 𝗸𝗻𝗼𝘄? Using 𝗱𝗮𝘁𝗮𝗯𝗮𝘀𝗲 𝗶𝗻𝗱𝗲𝘅𝗲𝘀 on frequently filtered fields can drastically improve query performance.

If you often filter or order by a field (like "email", "created_at", or "status"), adding "db_index=True" can make lookups significantly faster — especially as your dataset grows.

🔧 𝗕𝗲𝘀𝘁 𝗽𝗿𝗮𝗰𝘁𝗶𝗰𝗲: Index fields used in:

- filter()

- order_by()

- ForeignKey relationships (indexed by default)

Performance isn’t just about code — it’s also about your database design.

#BackendDevelopment #WebDevelopment #DatabaseOptimization

Django Python fullstackdeveloper

Valentina Ferretti

• Apr 21

What if your team could design, iterate, and deploy entire products without ever leaving a Slack thread?

👉 That's Paper Builder. It follows your team's conversation, generates the product you're envisioning on Paper, and deploys it on Vercel. Directly in the Slack channel. From single pages to entire flows, by using your design system. Just tag Paper Builder in the thread. Under the hood, a Python server orchestrates three flows: 1. 🔍 The Intent Detection Flow: Claude CLI - Agent 1 reads the Slack thread and classifies the request as design or deploy. 2. 🎨 The Design Flow: Claude CLI → Paper MCP - The server checks if a design system folder exists in the project. - Agent 2 checks if a design system exists on the Paper canvas. - Agent 3 uses the Paper MCP to build or refine the UI, applying the design system tokens 📝 Paper MCP tools used: + get_guide: To load design-specific instructions.

+ get_basic_info: To understand the current canvas state.

+ write_html & update_styles: To create and edit visual elements.

+ get_screenshot: To capture the design for Slack review.

+ finish_working_on_nodes: To finalise the session on Paper. 3. ⚒️ The Deploy Flow: Claude CLI (→ Paper MCP) → React/Vite → Vercel

- Agent 4 exports the artboards as React components and image assets.

- Agent 5 wires the navigation between screens and prepares the app for deployment. 📝 Paper MCP tools used: + get_jsx: To transform canvas components into React components. + get_computed_styles: To extract exact CSS tokens from the artboards. + get_fill_image: To download icons and images for the local bundle.

It's open source, run it yourself and share your feedback: https://github.com/valeeff/paper_builder_on_slack

paperchallenge Vercel Slack Design Engineering UX Design Paper Python

Tonye Onuoha

pro

• Apr 20

💡 𝗧𝗶𝗽 𝗼𝗳 𝘁𝗵𝗲 𝗗𝗮𝘆 — 𝗗𝗷𝗮𝗻𝗴𝗼

𝗗𝗶𝗱 𝘆𝗼𝘂 𝗸𝗻𝗼𝘄? Django’s "get_or_create()" helps prevent race conditions when creating records that must be unique.

Instead of doing:

- Query to check if it exists

- Then creating it

"get_or_create()" performs the lookup and creation 𝗮𝘁𝗼𝗺𝗶𝗰𝗮𝗹𝗹𝘆, reducing the chance of duplicates in concurrent environments.

🔧 𝗖𝗼𝗺𝗺𝗼𝗻 𝘂𝘀𝗲 𝗰𝗮𝘀𝗲𝘀:

- User preferences

- Tags or categories

- Settings tied to a user

Cleaner code and safer database operations.

#WebDevelopment #DatabaseDesign #FullstackDeveloper

Backend Development Django Python

Nagaraj M

• Apr 21

Optimized WordPress Database (1.2GB → 300MB) – Fixed Critical Elementor Issues 🚨 Fixed a Critical WordPress Database Issue (1.2GB → 300MB)

A client’s Elementor website suddenly started breaking — layouts collapsing, 502 errors, and database write failures.

After investigation, I found the root cause: 👉 Database exceeded hosting limit (1GB+) 👉 postmeta table alone was ~957MB 👉 Over 800MB was unused orphan data

🔍 What I did:

• Analyzed database using SQL (no blind cleanup) • Identified ~94K orphaned metadata entries • Safely removed unused postmeta records • Rebuilt the table to eliminate fragmentation • Optimized database structure

⚡ Results:

• Database reduced from 1239MB → ~300MB • postmeta reduced from 957MB → 20MB • Eliminated 502 errors • Elementor saving issues fixed • Site performance significantly improved

💡 Key Insight:

Most WordPress issues aren’t frontend problems — they’re database inefficiencies.

🛠️ Stack:

WordPress • Elementor • MySQL • SiteGround

If your site feels slow or unstable, the issue might be hidden in your database 👀

Completed work

WordPress Development MySQL weboptimization database Elementor Data Analysis Database Engineering SiteGround

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Valentina Ferretti

• Apr 21

What if your team could design, iterate, and deploy entire products without ever leaving a Slack thread?

+ get_basic_info: To understand the current canvas state.

+ write_html & update_styles: To create and edit visual elements.

+ get_screenshot: To capture the design for Slack review.

+ finish_working_on_nodes: To finalise the session on Paper. 3. ⚒️ The Deploy Flow: Claude CLI (→ Paper MCP) → React/Vite → Vercel

- Agent 4 exports the artboards as React components and image assets.

It's open source, run it yourself and share your feedback: https://github.com/valeeff/paper_builder_on_slack

paperchallenge Vercel Slack Design Engineering UX Design Paper Python

Tonye Onuoha

pro

• Apr 20

💡 𝗧𝗶𝗽 𝗼𝗳 𝘁𝗵𝗲 𝗗𝗮𝘆 — 𝗗𝗷𝗮𝗻𝗴𝗼

𝗗𝗶𝗱 𝘆𝗼𝘂 𝗸𝗻𝗼𝘄? Django’s "get_or_create()" helps prevent race conditions when creating records that must be unique.

Instead of doing:

- Query to check if it exists

- Then creating it

"get_or_create()" performs the lookup and creation 𝗮𝘁𝗼𝗺𝗶𝗰𝗮𝗹𝗹𝘆, reducing the chance of duplicates in concurrent environments.

🔧 𝗖𝗼𝗺𝗺𝗼𝗻 𝘂𝘀𝗲 𝗰𝗮𝘀𝗲𝘀:

- User preferences

- Tags or categories

- Settings tied to a user

Cleaner code and safer database operations.

#WebDevelopment #DatabaseDesign #FullstackDeveloper

Backend Development Django Python

Nagaraj M

• Apr 21

Optimized WordPress Database (1.2GB → 300MB) – Fixed Critical Elementor Issues 🚨 Fixed a Critical WordPress Database Issue (1.2GB → 300MB)

A client’s Elementor website suddenly started breaking — layouts collapsing, 502 errors, and database write failures.

After investigation, I found the root cause: 👉 Database exceeded hosting limit (1GB+) 👉 postmeta table alone was ~957MB 👉 Over 800MB was unused orphan data

🔍 What I did:

⚡ Results:

• Database reduced from 1239MB → ~300MB • postmeta reduced from 957MB → 20MB • Eliminated 502 errors • Elementor saving issues fixed • Site performance significantly improved

💡 Key Insight:

Most WordPress issues aren’t frontend problems — they’re database inefficiencies.

🛠️ Stack:

WordPress • Elementor • MySQL • SiteGround

If your site feels slow or unstable, the issue might be hidden in your database 👀

Completed work

WordPress Development MySQL weboptimization database Elementor Data Analysis Database Engineering SiteGround