Troubleshooting MySQL Connection Pooling Issues in CI/CD Pipeline with Refactoring Efforts
I've been banging my head against this for hours... I'm getting frustrated with This might be a silly question, but While refactoring our CI/CD pipeline for a microservices architecture, specifically a Node.js application using Sequelize 6.0, I've run into some frustrating MySQL connection pooling problems..... My aim is to optimize how the application interacts with the database to streamline performance during deployments. Initially, I set up a connection pool like this: ```javascript const { Sequelize } = require('sequelize'); const sequelize = new Sequelize('database', 'username', 'password', { host: 'localhost', dialect: 'mysql', pool: { max: 10, min: 0, acquire: 30000, idle: 10000 } }); ``` However, after deploying the code, I noticed significant latency issues, especially under load testing scenarios. The application started throwing errors like `SequelizeConnectionError: Connection pool limit reached`. To address this, I attempted to increase the pool size, adjusting the `max` value to 20, but the problem persisted. I've also tried implementing connection timeouts to handle slow queries better: ```javascript sequelize.authenticate() .then(() => console.log('Connection has been established successfully.')) .catch(err => console.error('Unable to connect to the database:', err)); ``` After some troubleshooting, I realized that multiple services might be trying to access the database simultaneously, thus exhausting the pool. I considered introducing a retry mechanism when a connection fails, but that also seems like a workaround rather than a solution. I've been looking into various best practices regarding connection pooling in Sequelize and MySQL, and stumbled upon recommendations for a middleware approach to control the number of concurrent requests. However, implementing such a solution feels a bit cumbersome. Is there a more effective way to manage database connections in a CI/CD setup while ensuring that the application remains performant during deployments? Any insights into managing connection lifecycles better or reducing latency would be incredibly helpful. The stack includes Javascript and several other technologies. I'd really appreciate any guidance on this. For reference, this is a production web app. Thanks in advance! Is there a better approach?