The web application [alliance] appears to have started a thread named [Druid-ConnectionPool-Create-398802427] but has failed to stop it. This is very likely to create a memory leak. Stack trace of thread:-DPDK中文网

The warning you are seeing indicates that a thread named [Druid-ConnectionPool-Create-398802427] has been started by the web application and has not been properly stopped or terminated. This can lead to memory leaks as the thread continues to run even after the application context has been destroyed.

Here are some steps you can take to address this issue:

Identify Thread Creation:
- Check your codebase for places where Druid connection pools are being created. Ensure that any connection pool instances are correctly closed when they are no longer needed.
Shutdown Hooks:
- Implement proper shutdown hooks in your application to ensure that resources like threads and connections are properly released when the application is stopped or redeployed.
Thread Management:
- Review your Druid configuration settings, especially those related to lifecycle management of connection pools, and ensure they align with best practices.
- Consider setting maxWait and timeBetweenEvictionRunsMillis appropriately, so that idle connections are cleaned up efficiently.
Use Application Lifecycle Events:
- If you’re using a framework like Spring, make sure you’re utilizing its lifecycle events (like @PreDestroy annotated methods) to close down resources when the application context is closed.
Inspect Stack Trace:
- The message mentions a stack trace for the thread which can provide insights into where exactly in your code this thread was spawned. Use logging or debugging tools to trace back to the source of the thread creation.
Upgrade Libraries:
- Make sure you’re using an up-to-date version of Druid and other libraries in your project, as issues like these might have been resolved in later versions.
Memory Leak Detection Tools:
- Utilize profiling tools (like VisualVM, YourKit, etc.) to monitor memory usage and identify leaks associated with these threads.

By following these steps, you should be able to manage your Druid connection pool more effectively and avoid potential memory leaks caused by lingering threads.

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