Рўрєр°с‡р°с‚сњ Ир·рјрµрѕрµрѕрёрµ С‚рёрїрѕрі Сѓс‡р°сѓс‚рєр° / Venue Changes... Instant

Ensure your logs table captures the essential transformation data: venue_id : Reference to the location. old_type_id : The category before the change. new_type_id : The category after the change. changed_by : User ID of the editor. timestamp : When the change occurred. 2. Backend Logic (Pseudo-code)

Show "Processing..." for large files to manage user expectations. Ensure your logs table captures the essential transformation

Handle large datasets using background processing (queues). 🏗️ Technical Implementation 1. Database Schema Ensure your logs table captures the essential transformation

GET /api/v1/venues/changes/export/{job_id} : Check status of large exports. 🎨 User Interface Elements Ensure your logs table captures the essential transformation

How many do you expect to export at once? (Dozens, thousands, or millions?) Is this for a public-facing app or an internal admin tool ?