thanks,

thats what I was recommended from the slack channel discussion as well....

cheers,
Faizan

On Thu, Aug 16, 2018 at 12:06 PM, Gernot Reisinger <
gernot.reisin...@gmail.com> wrote:

> If I understood your scenario correctly, I would assume that it is not the
> Goroutines overhead per se but the traceroute command processes spawned in
> the Goroutines that drives the resource demand. The pure Goroutine memory
> overhead should be quite neglectable (size of G struct + initial dynamic
> stack). Thus, I would look for packages that provide traceroute like
> functionality (e.g. https://github.com/aeden/traceroute) to execute the
> ICMP requests in process.
>
>
> Am Donnerstag, 16. August 2018 05:29:44 UTC+2 schrieb faizan khan:
>>
>> Hi everyone,
>>
>> I am writing a CLI based golang programme which will run traceroute
>> command for a range of IPs. Sometimes a range will include 63*256*256 ips,
>> which is close to 4 million IPs. Each traceroute runs in a goroutine and
>> then there is a watcher goroutines that acts on the console output from the
>> traceroute. so for each ip 2 goroutines. I have capped the number of
>> goroutines to 512 by creating a buffered channel.
>>
>> After a lot of trial and error I have had a stable run on an 8GB server
>> with an 8GB swap file, if I run the same programme on a 512MB server with
>> 1GB swap file, it takes the server to peak utilization thereby shutting me
>> out. After which I have to restart my server to gain access again. If I
>> lower the buffered channel size to 100 on the 512MB server it runs fine.
>>
>> Is there a formula of some sort using which I can find out the server
>> size from the number of goroutines or the go programme...
>>
>> cheers,
>> Faizan
>>
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