See if you can reproduce the problem locally or in an alternate environment. 600 documents is laughably small for a database, so you need to work at pinpointing exactly where the slowness is coming into the equation. Node.js and other backend runtimes are single threaded - if you launch a query asynchronously and then spend 20 seconds crunching numbers, your process will finally see the query response after that 20 seconds of number crunching is done.) performanceadvisor, performance-advisor, performanceAdvisor, Performance Advisor operations. Cloud Manager provides several tools to help analyze slow queries executed on your. You're misreading the situation and your code is actually locking up somewhere that isn't the database (i.e. Performance Advisor Profiler Best Practices for Query Performance. Your code and your database are geographically far away and your packets are being routed badly. Reduce load, reduce query complexity, add indexes, or get bigger servers. ![]() The Performance Advisor helps you address suboptimal. You're hammering your server beyond its capacity (RAM/CPU/etc.) and the server can't keep up. MongoDB Ops Manager makes it fast and easy for you to deploy, monitor, upgrade, back up and scale. As an experienced MongoDB professional, you are called in to diagnose the problem. 20-50 seconds of latency is a ton, you're leaving out some big piece of the picture here. A major website backed by a MongoDB database is experiencing unsatisfactory performance.
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