To identify which goroutines are causing the memory growth due to `defer` and `recover` statements, you can use the following steps:
1. Enable the Race Detector:
- Run your program with the `-race` flag to enable the race detector. This will allocate extra memory for each `defer` and `recover` statement.
2. Capture Heap Dumps:
- Use the `net/http/pprof` package to expose an endpoint in your application that serves memory profile data. This will allow you to capture heap dumps and analyze the memory usage.
3. Visualize with `go tool pprof`:
- Use the `go tool pprof` command to analyze the memory profile data. This will help you identify the goroutines responsible for the memory growth.
4. Identify Goroutines:
- Use the `runtime` package to analyze goroutine dumps and detect goroutine leaks. You can use `runtime.NumGoroutine()` to get the number of active goroutines and monitor it over time to detect potential leaks.
5. Monitor Goroutines:
- Use tools like `runtime.ReadMemStats` to monitor goroutine memory usage and identify which goroutines are responsible for the memory growth.
Here is an example of how to use `go tool pprof` to analyze memory usage:
go
package main
import (
"fmt"
"net/http"
"runtime"
"time"
)
func main() {
// Enable profiling
http.HandleFunc("/debug/pprof", func(w http.ResponseWriter, r *http.Request) {
runtime.WriteHeapProfile(w)
})
// Start the server
http.ListenAndServe("80", nil)
// Periodically clean up old cache entries
ticker := time.NewTicker(time.Second)
for range ticker.C {
// Clean up old cache entries
}
}
This code snippet enables profiling and exposes an endpoint at `/debug/pprof` that serves memory profile data. You can use `go tool pprof` to analyze this data and identify the goroutines responsible for the memory growth.
Example Usage of `go tool pprof`
bash
# Capture the heap profile
go tool pprof -http 80 https://localhost80/debug/pprof/heap
# Analyze the heap profile
go tool pprof -http 81 https://localhost80/debug/pprof/heap
Example Usage of `runtime.ReadMemStats`
go
package main
import (
"fmt"
"runtime"
)
func main() {
// Initialize the runtime
runtime.GOMAXPROCS(1)
// Periodically clean up old cache entries
ticker := time.NewTicker(time.Second)
for range ticker.C {
// Clean up old cache entries
// Get the current memory stats
var stats runtime.MemStats
runtime.ReadMemStats(&stats)
// Print the memory stats
fmt.Printf("Number of Goroutines: %d\n", runtime.NumGoroutine())
fmt.Printf("Total Allocated: %d\n", stats.Alloc)
fmt.Printf("Total Freened: %d\n", stats.Free)
}
}
This code snippet periodically cleans up old cache entries and prints the current memory stats, including the number of goroutines and total allocated and freed memory.
Citations:[1] https://www.codingexplorations.com/blog/understanding-memory-leaks-in-go-and-how-to-avoid-them
[2] https://www.linkedin.com/pulse/common-memory-leak-case-golang-trong-luong-van-ajlrc
[3] https://www.codemio.com/2023/05/detecting-memory-leaks-in-golang.html
[4] https://engineering.razorpay.com/detecting-goroutine-leaks-with-test-cases-b0f8f8a88648?gi=18e93f165fcc
[5] https://groups.google.com/g/golang-nuts/c/CSl-2-yglvo