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From Vladimir Ozerov <voze...@gridgain.com>
Subject Re: Transport compression (not store compression)
Date Thu, 15 Feb 2018 08:24:59 GMT
I think that we should not guess on how the clients are used. They could be
used in any way - in the same network, in another network, in Docker, in
hypervisor, etc.. This holds for both thin and thick clients. It is
essential that we design configuration API in a way that compression could
be enabled only for some participants.

What if we do this as follows:
1) Define "IgniteConfiguration.compressionEnabled" flag
2) When two nodes communicate and at least one of them has this flag, then
all data sent between them is compressed.

Makes sense?

On Thu, Feb 15, 2018 at 8:50 AM, Nikita Amelchev <nsamelchev@gmail.com>
wrote:

> Hello, Igniters.
>
> I have not seen such use-cases, where heavy client ignite node placed in a
> much worse network than the server. I'm not sure we should encourage a bad
> cluster architecture.
>
> Usually, in my use-cases, the servers and clients locate in the same
> network. And if the cluster has SSL enabled, it makes sense to enable
> compression, even if the network is fast. It also makes sense when we have
> a high load on the network, and the CPU is utilized poorly.
>
> I'll do tests on yardstick for real operations like get, put etc. and SQL
> requests.
>
> I propose to add configurable compression for thin client/ODBC/JDBC as a
> separate issue because it increases the current PR.
>
> Even if it really makes sense to compress the traffic only between
> client-server ignite nodes, it should also be a separate issue, that would
> not increase the PR. Especially, since this compression architecture may
> not be accepted by the community.
>
> 2018-02-05 13:02 GMT+03:00 Nikita Amelchev <nsamelchev@gmail.com>:
>
> > Thanks for your comments,
> >
> > I will try to separate network compression for clients and servers.
> >
> > It makes sense to enable compression on servers if we have SSL turned on.
> > I tested rebalancing time and compression+ssl is faster. SSL throughput
> is
> > limited by 800 Mbits/sec per connection and if enable compression, it
> > boosted up to 1100 Mbits.
> >
> > 2018-02-02 18:52 GMT+03:00 Alexey Kuznetsov <akuznetsov@apache.org>:
> >
> >> I think Igor is right.
> >>
> >> Ususally servers connected via fast local network.
> >> But clients could be in external and slow network.
> >> In this scenario compression will be very useful.
> >>
> >> Once I had such scenario - client connected to cluster via 300 kb/s
> >> network
> >> and tries to transfer ~10Mb of uncumpressed data.
> >> So it takse ~30 seconds.
> >> After I implemented compression it becamed 1M and transfered for ~3
> >> seconds.
> >>
> >> I think we should take care of all mentioned problems with NIO threads
> in
> >> order to not slow down whole cluster.
> >>
> >>
> >> On Fri, Feb 2, 2018 at 10:05 PM, gvvinblade <gvvinblade@gmail.com>
> wrote:
> >>
> >> > Nikita,
> >> >
> >> > Yes, you're right. Maybe I wasn't clear enough.
> >> >
> >> > Usually server nodes are placed in the same fast network segment (one
> >> > datacenter); in any case we need an ability to setup compression per
> >> > connection using some filter like useCompression(ClusterNode,
> >> ClusterNode)
> >> > to compress traffic only between servers and client nodes.
> >> >
> >> > But issue is still there, since the same NIO worker serves both client
> >> and
> >> > server connections, enabled compression may impact whole cluster
> >> > performance
> >> > because NIO threads will compress client messages instead of
> processing
> >> > servers' compute requests. That was my concern.
> >> >
> >> > Compression for clients is really cool feature and usefull in some
> >> cases.
> >> > Probably it makes sense to have two NIO servers with and without
> >> > compression
> >> > to process server and client requests separately or pin somehow worker
> >> > threads to client or server sessions...
> >> >
> >> > Also we have to think about client connections (JDBC, ODBC, .Net thin
> >> > client, etc) and setup compression for them separately.
> >> >
> >> > Anyway I would compare put, get, putAll, getAll and SQL SELECT
> >> operations
> >> > for strings and POJOs, one server, several clients with and without
> >> > compression, setting up the server to utilize all cores by NIO
> workers,
> >> > just
> >> > to get know possible impact.
> >> >
> >> > Possible configuration for servers with 16 cores:
> >> >
> >> > Selectors cnt = 16
> >> > Connections per node = 4
> >> >
> >> > Where client nodes perform operations in 16 threads
> >> >
> >> > Regards,
> >> > Igor
> >> >
> >> >
> >> >
> >> >
> >> > --
> >> > Sent from: http://apache-ignite-developers.2346864.n4.nabble.com/
> >> >
> >>
> >>
> >>
> >> --
> >> Alexey Kuznetsov
> >>
> >
> >
> >
> > --
> > Best wishes,
> > Amelchev Nikita
> >
>
>
>
> --
> Best wishes,
> Amelchev Nikita
>

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