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how can I identify which goroutines are causing the memory growth due to defer and recover statements


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