Complex Query Performance Optimization Solution
Improving MCP server responsiveness can be done in the following ways:
- Query Optimization: Add appropriate indexes for database class servers
- parallel processing: Choose a version of the server that supports parallelism mechanisms such as Promise.all.
- Resource Monitoring: Monitor server resource utilization using process managers such as PM2
Specific optimization steps
- Recognizing slow queries: logging operations that take too long to execute via the server's debug mode
- Add a caching layer: Enable Redis caching for data with unchanging results
- Batching: splitting large queries into multiple subtasks
- Hardware acceleration: GPU support enabled for compute-intensive services
Typical optimization case: an e-commerce company reduced analytical query from 15 seconds to 3 seconds by: 1) Adding a combined index to the product table 2) Pre-calculating commonly used statistical metrics 3) Enabling caching of query results. It is recommended to evaluate the performance of core services once a quarter.
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