每100ms读取MySQL表是否可行？Node定时读取方案合理性咨询

Hey there! Let's break down your current setup and talk through whether it's a solid approach, plus where you might refine it if needed.

First off: Your current approach is totally acceptable #

Let's start with the good news—what you've built works, and the numbers back it up:

• Your read operation only takes 0.05ms, which is way under your 100ms polling interval. That means your Node app isn't wasting resources waiting on database calls or eating up CPU/connection limits.
• The logic is straightforward: poll → compare → act on changes. Simple systems are often the most reliable, especially for small to medium-scale use cases. If it's running smoothly right now, there's no urgent need to overhaul it.

Why you might wonder if it's "unprofessional" #

Polling often gets a bad rap because it's a "reactive" rather than "proactive" approach. But that stigma only applies when polling is inefficient. In your case, since the overhead is negligible, it's a totally valid choice—especially if you can't modify the Lua app that updates the table.

If you want to level up (for larger scale or better real-time performance) #

If your business grows, or you need more immediate reaction to changes, here are some more "event-driven" alternatives to consider:

• MySQL Triggers + Change Log
  Set up a database trigger that fires whenever the target table is updated. The trigger can write a record of the change to a dedicated change_log table, or even call an HTTP endpoint in your Node app directly.

  • Pros: No polling needed—changes trigger actions instantly.
  • Cons: Adds complexity to your database; trigger logic can slow down the Lua app's writes if not optimized.

• Message Queue Integration
  Modify the Lua app to send a message to a queue (like Redis Pub/Sub or RabbitMQ) every time it updates the MySQL table. Your Node app subscribes to this queue and acts as soon as a message comes in.

  • Pros: Decouples the Lua and Node apps completely, minimizes database load, and gives near-instant reaction times.
  • Cons: Requires changing the Lua app's code—if you don't control that app, this might not be an option.

• Optimize Your Polling Logic
  If you want to stick with polling but make it smarter:

  • Add a last_updated timestamp column to your table, so you only query rows that have changed since your last poll (instead of fetching the whole table every time).
  • Dynamically adjust the polling interval: if no changes happen for 5+ minutes, slow the interval to 500ms; if changes are frequent, keep it at 100ms.

Final Takeaway #

"Professional" doesn't mean overcomplicating things—it means choosing the right tool for the job. Your current setup is efficient, reliable, and easy to maintain, which makes it perfectly professional for many scenarios. Only consider switching to an event-driven approach if you have specific needs (like sub-100ms reaction times, or scaling to thousands of updates per minute) that polling can't meet.

内容的提问来源于stack exchange，提问作者marcel.js