Re: Ignite thread pool configuration

2020-10-07 Thread VeenaMithare
Thanks Denis,

regards,
Veena.



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Re: Ignite thread pool configuration

2020-10-05 Thread Denis Magda
Give it a try but do some load testing close to your production workload.
And then ramp the numbers up if needed.

-
Denis


On Mon, Oct 5, 2020 at 12:56 AM VeenaMithare 
wrote:

> Thanks Denis,
>
> I am thinking of setting the below thread pools as this on both client and
> server since we dont use data streamer, IGFS or Peer Class loading:
>
> 
> 
> 
>
> Also our thick clients dont connect using REST . So thinking of adding the
> below configuration on our thick client configuration.
>
> 
>  class="org.apache.ignite.configuration.ConnectorConfiguration">
> 
> 
> 
>
> Hope that is okay ?
>
> regards,
> Veena.
>
>
>
> --
> Sent from: http://apache-ignite-users.70518.x6.nabble.com/
>


Re: Ignite thread pool configuration

2020-10-05 Thread VeenaMithare
Thanks Denis,

I am thinking of setting the below thread pools as this on both client and
server since we dont use data streamer, IGFS or Peer Class loading: 





Also our thick clients dont connect using REST . So thinking of adding the
below configuration on our thick client configuration.







Hope that is okay ?

regards,
Veena.



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Sent from: http://apache-ignite-users.70518.x6.nabble.com/


Re: Ignite thread pool configuration

2020-10-03 Thread Denis Magda
You can certainly reduce its size (
https://ignite.apache.org/docs/latest/perf-and-troubleshooting/thread-pools-tuning#data-streamer-pool).
But at the same time created but unused threads are just some objects that
consume a bit of memory but don't use any CPU resources (until you start
using those).

-
Denis


On Sat, Oct 3, 2020 at 6:12 AM VeenaMithare 
wrote:

> I noticed that the DataStreamer thread pool size seems to be around 32 in
> my
> local machine. In our cluster setup we dont stream data from any external
> db
> . We use native persistence. Do you think it makes sense to reduce this
> pool
> size for both server and client configuraiton. I am not sure if this pool
> will ever be used in our project.
>
>
>
>
>
> --
> Sent from: http://apache-ignite-users.70518.x6.nabble.com/
>


Re: Ignite thread pool configuration

2020-10-03 Thread VeenaMithare
I noticed that the DataStreamer thread pool size seems to be around 32 in my
local machine. In our cluster setup we dont stream data from any external db
. We use native persistence. Do you think it makes sense to reduce this pool
size for both server and client configuraiton. I am not sure if this pool
will ever be used in our project.





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Re: Ignite thread pool configuration

2020-03-13 Thread Mikhail
Hi Dominik,

You don't need to configure thread pools manually, you should do this only
if you have some particular problem and think that this can be resolved by
changing pool sizes.
Ignite in 95% of cases automatically configure correct pools' sizes.

So you didn't understand it correctly:

The public pool is used the only for compute tasks:
https://apacheignite.readme.io/docs/compute-grid
all cache operations like get and put will be executed in system pool.
https://apacheignite.readme.io/docs/thread-pools#section-system-pool

StreamerThreadPoolSize - this pool process all incoming messages from Data
Streamers, but again, usually you shouldn't set it manually.

Thanks,
Mike.



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Ignite thread pool configuration

2020-03-13 Thread Dominik Przybysz
Hi,
I read the thread pool documentation (
https://apacheignite.readme.io/docs/thread-pools) but  I need more
information which thread pools I should configure/tune for my setup.

I have 2 server nodes (partitioned cache) and some clients (without near or
local chaches) which add cache entries via data streamer and get data via
getAsync operation.

As far as I understand the documentation:
- on server nodes I should configure especially publicThreadPoolSize on
which put and get operation occur?
- on client nodes I should configure dataStreamerThreadPoolSize (for data
streamer) and publicThreadPoolSize (on which put and get occur)?

-- 
Pozdrawiam / Regards,
Dominik Przybysz