PostgreSQL Performance Bottlenecks (Causes and Solutions for High Latency and Low Throughput)
Reasons for High Latency
1. Database Connection Issues
- Solution: Ensure the database connection configuration is correct and avoid issues such as a saturated connection pool.
2. Application Optimization
- Solution: Conduct comprehensive application analysis, optimize SQL statements, reduce unnecessary calculations, and utilize caching mechanisms.
Reasons for Low Throughput
1. Database Table Structure Design Issues
- Solution: Adjust the table structure to suit requirements, including considering indexing strategies.
2. Application Design and Development Issues
- Solution: Optimize application data access logic to ensure high efficiency in storage methods.
Solutions for High Latency
1. Improve Connection Pool Configuration
- Setting Suggestions: Adjust connection pool size and slow connection handling appropriately based on actual conditions.
2. Application Optimization
- Solution: Use caching technology, reduce SQL execution frequency, and minimize unnecessary calculations.
Solutions for Low Throughput
1. Adjust Table Structure Design
- Setting Suggestions: Select suitable indexing methods according to the actual data growth situation to avoid excessive space storage leading to slow performance.
2. Application Optimization
- Solution: Use pre-caching technology to improve SQL execution efficiency.