https://www.freecodecamp.org/news/how-i-investigated-memory-leaks-in-go-using-pprof-on-a-large-codebase-4bec4325e192/amp/
> On Mar 19, 2020, at 9:24 AM, Nitish Saboo <nitish.sabo...@gmail.com> wrote:
>
>
> Hi,
>
> Are there any other commands that provide an exact allocation of memory for
> each of the functions or help to analyze the memory allocation much better?
>
> Thanks,
> Nitish
>
>> On Thu, Mar 19, 2020 at 7:08 PM Robert Engels <reng...@ix.netcom.com> wrote:
>> You are only using 1.5 mb on the Go side... so if your process is consuming
>> lots of memory it’s on the C side.
>>
>>>> On Mar 19, 2020, at 7:55 AM, Nitish Saboo <nitish.sabo...@gmail.com> wrote:
>>>>
>>>
>>> Hi Michael,
>>>
>>> I used something like this to generate a mem-prof for 60 minutes
>>>
>>> func main() {
>>> flag.Parse()
>>> if *cpuprofile != "" {
>>> f, err := os.Create(*cpuprofile)
>>> if err != nil {
>>> fmt.Println("could not create CPU profile: ", err)
>>> }
>>> defer f.Close() // error handling omitted for example
>>> if err := pprof.StartCPUProfile(f); err != nil {
>>> fmt.Print("could not start CPU profile: ", err)
>>> }
>>> defer pprof.StopCPUProfile()
>>> }
>>> timeout := time.After(60 * time.Minute)
>>> A_chan := make(chan bool)
>>> B_chan := make(chan bool)
>>> go util.A(A_chan)
>>> go util.B(B_chan)
>>> (..Rest of the code..)
>>>
>>> for {
>>> select {
>>> case <-A_chan:
>>> continue
>>> case <-B_chan:
>>> continue
>>> case <-timeout:
>>> break
>>> }
>>> break
>>> }
>>>
>>> if *memprofile != "" {
>>> count = count + 1
>>> fmt.Println("Generating Mem Profile:")
>>> fmt.Print(count)
>>> f, err := os.Create(*memprofile)
>>> if err != nil {
>>> fmt.Println("could not create memory profile: ", err)
>>> }
>>> defer f.Close() // error handling omitted for example
>>> runtime.GC() // get up-to-date statistics
>>> if err := pprof.WriteHeapProfile(f); err != nil {
>>> fmt.Println("could not write memory profile: ", err)
>>> }
>>>
>>> }
>>> }
>>>
>>> I got the following output from the mem.prof:
>>>
>>> ~/Desktop/memprof:go tool pprof mem.prof
>>> File: main
>>> Build ID: 331d79200cabd2a81713918e51b8c9a63e3f7d29
>>> Type: inuse_space
>>> Time: Mar 19, 2020 at 3:57pm (IST)
>>> Entering interactive mode (type "help" for commands, "o" for options)
>>> (pprof) top 14
>>> Showing nodes accounting for 1581.40kB, 100% of 1581.40kB total
>>> flat flat% sum% cum cum%
>>> 1024.14kB 64.76% 64.76% 1024.14kB 64.76%
>>> github.com/aws/aws-sdk-go/aws/endpoints.init.ializers
>>> 557.26kB 35.24% 100% 557.26kB 35.24% crypto/elliptic.initTable
>>> 0 0% 100% 557.26kB 35.24%
>>> crypto/elliptic.(*p256Point).p256BaseMult
>>> 0 0% 100% 557.26kB 35.24% crypto/elliptic.GenerateKey
>>> 0 0% 100% 557.26kB 35.24%
>>> crypto/elliptic.p256Curve.ScalarBaseMult
>>> 0 0% 100% 557.26kB 35.24% crypto/tls.(*Conn).Handshake
>>> 0 0% 100% 557.26kB 35.24%
>>> crypto/tls.(*Conn).clientHandshake
>>> 0 0% 100% 557.26kB 35.24%
>>> crypto/tls.(*clientHandshakeState).doFullHandshake
>>> 0 0% 100% 557.26kB 35.24%
>>> crypto/tls.(*clientHandshakeState).handshake
>>> 0 0% 100% 557.26kB 35.24%
>>> crypto/tls.(*ecdheKeyAgreement).processServerKeyExchange
>>> 0 0% 100% 557.26kB 35.24%
>>> crypto/tls.generateECDHEParameters
>>> 0 0% 100% 557.26kB 35.24%
>>> net/http.(*persistConn).addTLS.func2
>>> 0 0% 100% 1024.14kB 64.76% runtime.main
>>> 0 0% 100% 557.26kB 35.24% sync.(*Once).Do
>>>
>>> (pprof)
>>>
>>> Can you please share some commands or any link which I can refer to to
>>> analyze the data?
>>>
>>> Thanks,
>>> Nitish
>>>
>>>
>>>
>>>> On Fri, Mar 13, 2020 at 6:22 PM Michael Jones <michael.jo...@gmail.com>
>>>> wrote:
>>>> hi. get the time at the start, check the elapsed time in your infinite
>>>> loop, and trigger the write/exit after a minute, 10 minutes, 100 minutes,
>>>> ...
>>>>
>>>>> On Fri, Mar 13, 2020 at 5:45 AM Nitish Saboo <nitish.sabo...@gmail.com>
>>>>> wrote:
>>>>> Hi Michael,
>>>>>
>>>>> Thanks for your response.
>>>>>
>>>>> That code looks wrong. I see the end but not the start. Look here and
>>>>> copy carefully:
>>>>>
>>>>> >>Since I did not want cpu profiling I omitted the start of the code and
>>>>> >>just added memory profiling part.
>>>>>
>>>>> Call at end, on way out.
>>>>>
>>>>> >>Oh yes, I missed that.I have to call memory profiling code at the end
>>>>> >>on the way out.But the thing is that it runs as a service in infinite
>>>>> >>for loop.
>>>>>
>>>>> func main() {
>>>>> flag.Parse()
>>>>> if *cpuprofile != "" {
>>>>> f, err := os.Create(*cpuprofile)
>>>>> if err != nil {
>>>>> fmt.Println("could not create CPU profile: ", err)
>>>>> }
>>>>> defer f.Close() // error handling omitted for example
>>>>> if err := pprof.StartCPUProfile(f); err != nil {
>>>>> fmt.Print("could not start CPU profile: ", err)
>>>>> }
>>>>> defer pprof.StopCPUProfile()
>>>>> }
>>>>>
>>>>> A_chan := make(chan bool)
>>>>> B_chan := make(chan bool)
>>>>> go util.A(A_chan)
>>>>> go util.B(B_chan)
>>>>> (..Rest of the code..)
>>>>>
>>>>> for {
>>>>> select {
>>>>> case <-A_chan:
>>>>> continue
>>>>> case <-B_chan:
>>>>> continue
>>>>>
>>>>> }
>>>>> }
>>>>>
>>>>> }
>>>>>
>>>>> What would be the correct way to add the memprofile code changes, since
>>>>> it is running in an infinite for loop ?
>>>>>
>>>>> Also, as shared by others above, there are no promises about how soon the
>>>>> dead allocations go away, The speed gets faster and faster version to
>>>>> version, and is impressive indeed now, so old versions are not the best
>>>>> to use, ubt even so, if the allocation feels small to th GC the urgency
>>>>> to free it will be low. You need to loop in allocating and see if the
>>>>> memory grows and grows.
>>>>>
>>>>> >> Yes, got it.I will try using the latest version of Go and check the
>>>>> >> behavior.
>>>>>
>>>>> Thanks,
>>>>> Nitish
>>>>>
>>>>>> On Fri, Mar 13, 2020 at 6:20 AM Michael Jones <michael.jo...@gmail.com>
>>>>>> wrote:
>>>>>> That code looks wrong. I see the end but not the start. Look here and
>>>>>> copy carefully:
>>>>>> https://golang.org/pkg/runtime/pprof/
>>>>>>
>>>>>> Call at end, on way out.
>>>>>>
>>>>>> Also, as shared by others above, there are no promises about how soon
>>>>>> the dead allocations go away, The speed gets faster and faster version
>>>>>> to version, and is impressive indeed now, so old versions are not the
>>>>>> best to use, ubt even so, if the allocation feels small to th GC the
>>>>>> urgency to free it will be low. You need to loop in allocating and see
>>>>>> if the memory grows and grows.
>>>>>>
>>>>>>> On Thu, Mar 12, 2020 at 9:22 AM Nitish Saboo <nitish.sabo...@gmail.com>
>>>>>>> wrote:
>>>>>>> Hi,
>>>>>>>
>>>>>>> I have compiled my Go binary against go version 'go1.7 linux/amd64'.
>>>>>>> I added the following code change in the main function to get the
>>>>>>> memory profiling of my service
>>>>>>>
>>>>>>> var memprofile = flag.String("memprofile", "", "write memory profile to
>>>>>>> `file`")
>>>>>>>
>>>>>>> func main() {
>>>>>>> flag.Parse()
>>>>>>> if *memprofile != "" {
>>>>>>> f, err := os.Create(*memprofile)
>>>>>>> if err != nil {
>>>>>>> fmt.Println("could not create memory profile: ", err)
>>>>>>> }
>>>>>>> defer f.Close() // error handling omitted for example
>>>>>>> runtime.GC() // get up-to-date statistics
>>>>>>> if err := pprof.WriteHeapProfile(f); err != nil {
>>>>>>> fmt.Println("could not write memory profile: ", err)
>>>>>>> }
>>>>>>> }
>>>>>>> ..
>>>>>>> ..
>>>>>>> (Rest code to follow)
>>>>>>>
>>>>>>> I ran the binary with the following command:
>>>>>>>
>>>>>>> nsaboo@ubuntu:./main -memprofile=mem.prof
>>>>>>>
>>>>>>> After running the service for couple of minutes, I stopped it and got
>>>>>>> the file 'mem.prof'
>>>>>>>
>>>>>>> 1)mem.prof contains the following:
>>>>>>>
>>>>>>> nsaboo@ubuntu:~/Desktop/memprof$ vim mem.prof
>>>>>>>
>>>>>>> heap profile: 0: 0 [0: 0] @ heap/1048576
>>>>>>>
>>>>>>> # runtime.MemStats
>>>>>>> # Alloc = 761184
>>>>>>> # TotalAlloc = 1160960
>>>>>>> # Sys = 3149824
>>>>>>> # Lookups = 10
>>>>>>> # Mallocs = 8358
>>>>>>> # Frees = 1981
>>>>>>> # HeapAlloc = 761184
>>>>>>> # HeapSys = 1802240
>>>>>>> # HeapIdle = 499712
>>>>>>> # HeapInuse = 1302528
>>>>>>> # HeapReleased = 0
>>>>>>> # HeapObjects = 6377
>>>>>>> # Stack = 294912 / 294912
>>>>>>> # MSpan = 22560 / 32768
>>>>>>> # MCache = 2400 / 16384
>>>>>>> # BuckHashSys = 2727
>>>>>>> # NextGC = 4194304
>>>>>>> # PauseNs = [752083 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
>>>>>>> 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
>>>>>>> 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
>>>>>>> 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
>>>>>>> 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
>>>>>>> 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
>>>>>>> 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
>>>>>>> 0 0 0 0 0 0 0 0 0 0 0 0 0]
>>>>>>> # NumGC = 1
>>>>>>> # DebugGC = false
>>>>>>>
>>>>>>> 2)When I tried to open the file using the following command, it just
>>>>>>> goes into interactive mode and shows nothing
>>>>>>>
>>>>>>> a)Output from go version go1.7 linux/amd64 for mem.prof
>>>>>>>
>>>>>>> nsaboo@ubuntu:~/Desktop/memprof$ go tool pprof mem.prof
>>>>>>> Entering interactive mode (type "help" for commands)
>>>>>>> (pprof) top
>>>>>>> profile is empty
>>>>>>> (pprof)
>>>>>>>
>>>>>>> b)Output from go version go1.12.4 linux/amd64 for mem.prof
>>>>>>>
>>>>>>> nsaboo@ubuntu:~/Desktop/memprof$ go tool pprof mem.prof
>>>>>>> Type: space
>>>>>>> No samples were found with the default sample value type.
>>>>>>> Try "sample_index" command to analyze different sample values.
>>>>>>> Entering interactive mode (type "help" for commands, "o" for options)
>>>>>>> (pprof) o
>>>>>>> call_tree = false
>>>>>>> compact_labels = true
>>>>>>> cumulative = flat //: [cum | flat]
>>>>>>> divide_by = 1
>>>>>>> drop_negative = false
>>>>>>> edgefraction = 0.001
>>>>>>> focus = ""
>>>>>>> granularity = functions //: [addresses |
>>>>>>> filefunctions | files | functions | lines]
>>>>>>> hide = ""
>>>>>>> ignore = ""
>>>>>>> mean = false
>>>>>>> nodecount = -1 //: default
>>>>>>> nodefraction = 0.005
>>>>>>> noinlines = false
>>>>>>> normalize = false
>>>>>>> output = ""
>>>>>>> prune_from = ""
>>>>>>> relative_percentages = false
>>>>>>> sample_index = space //: [objects | space]
>>>>>>> show = ""
>>>>>>> show_from = ""
>>>>>>> tagfocus = ""
>>>>>>> taghide = ""
>>>>>>> tagignore = ""
>>>>>>> tagshow = ""
>>>>>>> trim = true
>>>>>>> trim_path = ""
>>>>>>> unit = minimum
>>>>>>> (pprof) space
>>>>>>> (pprof) sample_index
>>>>>>> (pprof) top
>>>>>>> Showing nodes accounting for 0, 0% of 0 total
>>>>>>> flat flat% sum% cum cum%
>>>>>>>
>>>>>>>
>>>>>>> 3)Please let me know if it is this the correct way of getting the
>>>>>>> memory profiling ?
>>>>>>>
>>>>>>> 4)Can we deduce something from this memory stats that points us to
>>>>>>> increase in memory usage?
>>>>>>>
>>>>>>> 5)I am just thinking out loud, since I am using go1.7, can that be the
>>>>>>> reason for the issue of increase in memory usage that might get fixed
>>>>>>> with latest go versions ?
>>>>>>>
>>>>>>> Thanks,
>>>>>>> Nitish
>>>>>>>
>>>>>>>> On Tue, Mar 10, 2020 at 6:56 AM Jake Montgomery <jake6...@gmail.com>
>>>>>>>> wrote:
>>>>>>>>
>>>>>>>>> On Monday, March 9, 2020 at 1:37:00 PM UTC-4, Nitish Saboo wrote:
>>>>>>>>> Hi Jake,
>>>>>>>>>
>>>>>>>>> The memory usage remains constant when the rest of the service is
>>>>>>>>> running.Only when LoadPatternDB() method is called within the
>>>>>>>>> service, Memory Consumption increases which actually should not
>>>>>>>>> happen.
>>>>>>>>> I am assuming if there is a memory leak while calling this method
>>>>>>>>> because the memory usage then becomes constant after getting
>>>>>>>>> increased and then further increases on next call.
>>>>>>>>
>>>>>>>> Its possible that I am not fully understanding, perhaps a language
>>>>>>>> problem. But from what you have written above I still don't see that
>>>>>>>> this means you definitely have a memory leak. To test for that you
>>>>>>>> would need to continuously call LoadPatternDB() and monitor memory for
>>>>>>>> a considerable time. If it eventually stabilizes to a constant range
>>>>>>>> then there is no leak, just normal Go-GC variation. If it never stops
>>>>>>>> climbing, and eventually consumes all the memory, then it would
>>>>>>>> probably be a leak. Just because it goes up after one call, or a few
>>>>>>>> calls doe not mean there is a leak.
>>>>>>>> --
>>>>>>>> You received this message because you are subscribed to the Google
>>>>>>>> Groups "golang-nuts" group.
>>>>>>>> To unsubscribe from this group and stop receiving emails from it, send
>>>>>>>> an email to golang-nuts+unsubscr...@googlegroups.com.
>>>>>>>> To view this discussion on the web visit
>>>>>>>> https://groups.google.com/d/msgid/golang-nuts/f897fdb1-8968-4435-9fe9-02e167e09a36%40googlegroups.com.
>>>>>>>
>>>>>>> --
>>>>>>> You received this message because you are subscribed to the Google
>>>>>>> Groups "golang-nuts" group.
>>>>>>> To unsubscribe from this group and stop receiving emails from it, send
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>>>>>>> To view this discussion on the web visit
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>>>>>>
>>>>>>
>>>>>> --
>>>>>> Michael T. Jones
>>>>>> michael.jo...@gmail.com
>>>>
>>>>
>>>> --
>>>> Michael T. Jones
>>>> michael.jo...@gmail.com
>>>
>>> --
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