Hi Strahil,
Thanks for taking out time to help me.
This is not a hyperconverged setup. We have 7 nodes with 2 bricks on each node. Total 14 node distributed setup.
The host on which i saw the increased RAM is a client with glusterfs client version 5.10.
On Wed, Sep 30, 2020 at 8:42 PM Strahil Nikolov <hunter86_bg@xxxxxxxxx> wrote:
Sadly I can't help much here.
Is this a Hyperconverged setup (host is also a client) ?
Best Regards,
Strahil Nikolov
В вторник, 29 септември 2020 г., 18:29:20 Гринуич+3, Shreyansh Shah <shreyansh.shah@xxxxxxxxxxxxxx> написа:
Hi All,
Can anyone help me out with this?
On Tue, Sep 22, 2020 at 2:59 PM Shreyansh Shah <shreyansh.shah@xxxxxxxxxxxxxx> wrote:
> Hi,
> We are using distributed gluster version 5.10 (7 nodes with 2 bricks per node, i.e 14 bricks total).
>
> We have set the performance.cache-size parameter as 8GB on server. We assumed that this config parameter indicates the amount of RAM that will be used on the client machine (i.e. upto 8 GB of RAM to be used for data caching at clients). But we observed that on a machine the RAM usage of glusterfs process was around 17GB.
>
> So we want to know whether our understanding of the parameter is correct? Or something else that we have missed.
>
> Below are the options configured at glusterfs server, please advise if we can add/tune some parameters to extract more performance.
> storage.health-check-interval: 10
> performance.client-io-threads: on
> performance.cache-refresh-timeout: 60
> performance.cache-size: 8GB
> transport.address-family: inet
> nfs.disable: on
> server.keepalive-time: 60
> client.keepalive-time: 60
> network.ping-timeout: 90
>
> --
> Regards,Shreyansh Shah
>
--
Regards,Shreyansh Shah
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Regards,
Shreyansh Shah
Shreyansh Shah
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