Database Connection Pooling Optimization

Complete Guide to Optimizing Database Connection Management

Database connection pooling is critical for application performance and scalability. This comprehensive guide covers connection pool configuration, optimization strategies, monitoring, and best practices for efficiently managing database connections to maximize throughput while minimizing resource usage.

leak-detection-threshold: 60000

connection-test-query: SELECT 1

const pool = new Pool({}

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Connection Lifecycle Management

Connection Validation

Validate connections before use

Frequently asked questions

What is the purpose of `pool.totalCount`?

`pool.totalCount` represents the total number of database connections currently managed by the connection pool.

How does `pool.idleCount` relate to connection pooling?

`pool.idleCount` indicates the number of database connections that are available but not actively being used within the connection pool.

What does `pool.waitingCount` signify in a connection pool?

`pool.waitingCount` represents the number of threads or requests currently waiting for an available database connection from the pool.

How do I obtain a HikariPool instance using dataSource?

You can obtain a HikariPool instance by calling `dataSource.getHikariPoolMXBean()` which provides access to the underlying HikariPool configuration and management.

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Database Connection Pooling Optimization - Comprehensive Guide