How to troubleshoot when the JDBC connection pool is fu…

When the JDBC connection pool is full, you can take the following troubleshooting steps:

1. Check the connection pool configuration: Review the maximum number of connections in the connection pool to ensure there are enough connections to handle requests. If the maximum connection setting in the pool is too low, adjust the configuration.
2. Check if the connection is properly released: Make sure to close and release the connection correctly after each use. You can inspect the code to confirm if the close() method of the connection is called after its usage.
3. Check for connection leaks: Connection leaks refer to not properly closing and releasing connections after they have been used, resulting in connections not being reclaimed in the connection pool. You can use monitoring tools such as the monitoring interface of the Druid connection pool to check for any connection leaks.
4. Check if the database connection limit has been reached: If the maximum connection limit for the database is set too low, it can prevent the connection pool from obtaining enough connections. You can review the database configuration settings and adjust the maximum connection limit.
5. Check if the database connection operation is time-consuming: If the connections in the connection pool are not released for a period of time, it may be due to a database operation taking too long. You can check the slow query log of the database, analyze which operations are taking longer, and optimize them.
6. Check if the network connection is normal: The connection pool may also be full due to network connection issues. You can confirm the network connection by pinging the IP address of the database server or telnetting the port of the database server.
7. Increase the size of the connection pool: If none of the above troubleshooting steps reveal any issues, you may want to consider increasing the maximum connection limit of the connection pool. However, it’s important to note that having too many connections can lead to a decline in database performance, so this decision should be carefully weighed.