Optimize query performance

[BryanPineda21]

🚀 Performance Optimization: Query Efficiency Enhancement

Background

Our current query implementation is causing noticeable performance bottlenecks that affect the user experience. These inefficiencies manifest as extended response times and excessive resource utilization.

Objectives

• Reduce query response times by optimizing database interactions
• Minimize network payload size through selective field retrieval
• Enhance overall application responsiveness for improved user experience

Proposed Implementation

1. Query Analysis

   • Profile existing queries to identify performance bottlenecks
   • Measure and document current response times as baseline
   • Identify queries that return excessive amounts of data

2. Optimization Techniques

   • Implement strategic $project operations to limit returned fields
   • Consider adding appropriate indexes to support common query patterns
   • Evaluate potential for query result caching where appropriate

3. Validation & Measurement

   • Establish performance testing methodology
   • Document improvements in response time and resource utilization
   • Monitor for any negative impacts on application functionality

Resources

• MongoDB Query Performance Optimization Guide
• Internal performance testing framework documentation

Priority

Medium-High (Post-Launch)

Estimated Effort

• Analysis: 2-3 days
• Implementation: 3-5 days
• Testing and validation: 2 days