Hi,

I upgraded a server to Rsyslog 8.15 last night and today the process was
using almost 200MB of RAM (raising steadily).
Tried running the process in Valgrind to see if I get an idea about what
happens, but wasn't that much help for me.

If someone has better debugging skills, I pasted the output here. Not sure
if I let it run enough or leave it running longer.
https://gist.github.com/hakman/44afddaf4eb67cda28c6

Thanks,
Ciprian


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On Tue, Dec 15, 2015 at 2:41 PM, David Lang <[email protected]> wrote:

> On Tue, 15 Dec 2015, Ciprian Hacman wrote:
>
> Hi David,
>>
>> maxMessageSize="10000"
>> queue.size="10000" - main queue
>> queue.size="10000" - elasticsearch queue
>>
>> Based on my calculations this brings me to a max of 200MB of memory, maybe
>> a little more depending on how maxMessageSize is calculated.
>>
>> I read logs from a file and push them to Elasticsearch (on the same
>> network), so TCP is the only possibility. This server has a very simple
>> setup.
>>
>> If I don't find the reason for this issue, I might have to go implement
>> the
>> forwarding to a central location and push to Elasticsearch from there.
>>
>
> There are advantages to sending things to a central server.
>
> it's one place to queue data, so you can either allocate more ram, or go
> to disk as needed without impacting other workloads.
>
> it's more efficient, the central server is more likely to have larger
> batches of data to feed to ES, and ES only needs to be running one thread
> processing inbound data
>
> while it is one more point to have to look at, I think it simplifies
> troubleshooting as all the communication to ES (and therefor all the errors
> for such communication) happen in one place instead of distributed.
>
> anyway, let's see how things look with 8.15
>
>
> David Lang
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