runtime: goroutine stack exceeds 1000000000-byte limit while serving HTTP about chi HOT 2 CLOSED

This error indicates that Go-Chi, is hitting the stack size limit of a goroutine. Goroutines are lightweight concurrency units used in Go to execute concurrent tasks efficiently.

This error usually occurs when there's a high number of recursive calls or when the goroutine stack is being consumed by memory-intensive operations. The default stack size limit in Go is 1GB.

Here are some suggestions to address this issue:

1. Avoid Deep Recursion: If you're using recursion in your code, try to optimize it or convert it to an iterative approach.

2. Use Pooling: If you're creating many goroutines, consider using goroutine pools to reuse the same goroutines instead of creating new ones whenever needed. This can help reduce the overhead of goroutine creation and destruction.

3. Limit Concurrency: If you're processing many operations concurrently, try to limit the number of active goroutines at the same time. This can be done using semaphores or channels to control concurrency.

4. Increase Stack Size: While not the most recommended solution, it's possible to increase the goroutine stack size using the GODEBUG environment variable. However, this should be done carefully, as increasing the stack size too much can lead to performance issues and excessive memory consumption.

5. Review Code: Review the code for possible memory leaks or memory usage patterns that might be causing the problem. Check if there are data structures that are growing without bounds or if there are reference cycles preventing memory from being released.

6. Memory Profiling: Use Go's profiling tools, such as the pprof package, to identify where most of the memory is being allocated and to understand memory allocation patterns in your code.

Keep in mind that solving this issue can vary depending on the context of your code and the application you're developing. Sometimes, it's necessary to make some changes to the code's design or architecture to avoid excessive memory consumption.

from chi.

Sounds like you have bug in your program that’s perpetually consuming memory potentially with some faulty custom middleware

from chi.