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From Boyang Chen <bche...@outlook.com>
Subject Re: [Discuss] KIP-389: Enforce group.max.size to cap member metadata growth
Date Wed, 05 Dec 2018 12:09:03 GMT
Hey Stanislav,

thanks for the question! `Trivial rebalance` means "we don't start reassignment right now,
but you need to know it's coming soon
and you should start preparation".

An example KStream use case is that before actually starting to shrink the consumer group,
we need to
1. partition the consumer group into two subgroups, where one will be offline soon and the
other will keep serving;
2. make sure the states associated with near-future offline consumers are successfully replicated
on the serving ones.

As I have mentioned shrinking the consumer group is pretty much equivalent to group scaling
down, so we could think of this
as an add-on use case for cluster scaling. So my understanding is that the KIP-389 could be
sequenced within our cooperative rebalancing<https://cwiki.apache.org/confluence/display/KAFKA/Incremental+Cooperative+Rebalancing%3A+Support+and+Policies>
proposal.

Let me know if this makes sense.

Best,
Boyang
________________________________
From: Stanislav Kozlovski <stanislav@confluent.io>
Sent: Wednesday, December 5, 2018 5:52 PM
To: dev@kafka.apache.org
Subject: Re: [Discuss] KIP-389: Enforce group.max.size to cap member metadata growth

Hey Boyang,

I think we still need to take care of group shrinkage because even if users
change the config value we cannot guarantee that all consumer groups would
have been manually shrunk.

Regarding 2., I agree that forcefully triggering a rebalance might be the
most intuitive way to handle the situation.
What does a "trivial rebalance" mean? Sorry, I'm not familiar with the term.
I was thinking that maybe we could force a rebalance, which would cause
consumers to commit their offsets (given their rebalanceListener is
configured correctly) and subsequently reject some of the incoming
`joinGroup` requests. Does that sound like it would work?

On Wed, Dec 5, 2018 at 1:13 AM Boyang Chen <bchen11@outlook.com> wrote:

> Hey Stanislav,
>
> I read the latest KIP and saw that we already changed the default value to
> -1. Do
> we still need to take care of the consumer group shrinking when doing the
> upgrade?
>
> However this is an interesting topic that worth discussing. Although
> rolling
> upgrade is fine, `consumer.group.max.size` could always have conflict with
> the current
> consumer group size which means we need to adhere to one source of truth.
>
> 1.Choose the current group size, which means we never interrupt the
> consumer group until
> it transits to PREPARE_REBALANCE. And we keep track of how many join group
> requests
> we have seen so far during PREPARE_REBALANCE. After reaching the consumer
> cap,
> we start to inform over provisioned consumers that you should send
> LeaveGroupRequest and
> fail yourself. Or with what Mayuresh proposed in KIP-345, we could mark
> extra members
> as hot backup and rebalance without them.
>
> 2.Choose the `consumer.group.max.size`. I feel incremental rebalancing
> (you proposed) could be of help here.
> When a new cap is enforced, leader should be notified. If the current
> group size is already over limit, leader
> shall trigger a trivial rebalance to shuffle some topic partitions and let
> a subset of consumers prepare the ownership
> transition. Until they are ready, we trigger a real rebalance to remove
> over-provisioned consumers. It is pretty much
> equivalent to `how do we scale down the consumer group without
> interrupting the current processing`.
>
> I personally feel inclined to 2 because we could kill two birds with one
> stone in a generic way. What do you think?
>
> Boyang
> ________________________________
> From: Stanislav Kozlovski <stanislav@confluent.io>
> Sent: Monday, December 3, 2018 8:35 PM
> To: dev@kafka.apache.org
> Subject: Re: [Discuss] KIP-389: Enforce group.max.size to cap member
> metadata growth
>
> Hi Jason,
>
> > 2. Do you think we should make this a dynamic config?
> I'm not sure. Looking at the config from the perspective of a prescriptive
> config, we may get away with not updating it dynamically.
> But in my opinion, it always makes sense to have a config be dynamically
> configurable. As long as we limit it to being a cluster-wide config, we
> should be fine.
>
> > 1. I think it would be helpful to clarify the details on how the
> coordinator will shrink the group. It will need to choose which members to
> remove. Are we going to give current members an opportunity to commit
> offsets before kicking them from the group?
>
> This turns out to be somewhat tricky. I think that we may not be able to
> guarantee that consumers don't process a message twice.
> My initial approach was to do as much as we could to let consumers commit
> offsets.
>
> I was thinking that we mark a group to be shrunk, we could keep a map of
> consumer_id->boolean indicating whether they have committed offsets. I then
> thought we could delay the rebalance until every consumer commits (or some
> time passes).
> In the meantime, we would block all incoming fetch calls (by either
> returning empty records or a retriable error) and we would continue to
> accept offset commits (even twice for a single consumer)
>
> I see two problems with this approach:
> * We have async offset commits, which implies that we can receive fetch
> requests before the offset commit req has been handled. i.e consmer sends
> fetchReq A, offsetCommit B, fetchReq C - we may receive A,C,B in the
> broker. Meaning we could have saved the offsets for B but rebalance before
> the offsetCommit for the offsets processed in C come in.
> * KIP-392 Allow consumers to fetch from closest replica
> <
> https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcwiki.apache.org%2Fconfluence%2Fdisplay%2FKAFKA%2FKIP-392%253A%2BAllow%2Bconsumers%2Bto%2Bfetch%2Bfrom%2Bclosest%2Breplica&amp;data=02%7C01%7C%7C129cd5e4e468408aeea908d65a977179%7C84df9e7fe9f640afb435aaaaaaaaaaaa%7C1%7C0%7C636796003819759177&amp;sdata=8cGId%2Ba8OerlXGF8n2AsNHNrSVYCUNuFvX7g4Z9NNDw%3D&amp;reserved=0
> >
> would
> make it significantly harder to block poll() calls on consumers whose
> groups are being shrunk. Even if we implemented a solution, the same race
> condition noted above seems to apply and probably others
>
>
> Given those constraints, I think that we can simply mark the group as
> `PreparingRebalance` with a rebalanceTimeout of the server setting `
> group.max.session.timeout.ms`. That's a bit long by default (5 minutes)
> but
> I can't seem to come up with a better alternative
>
> I'm interested in hearing your thoughts.
>
> Thanks,
> Stanislav
>
> On Fri, Nov 30, 2018 at 8:38 AM Jason Gustafson <jason@confluent.io>
> wrote:
>
> > Hey Stanislav,
> >
> > What do you think about the use case I mentioned in my previous reply
> about
> > > a more resilient self-service Kafka? I believe the benefit there is
> > bigger.
> >
> >
> > I see this config as analogous to the open file limit. Probably this
> limit
> > was intended to be prescriptive at some point about what was deemed a
> > reasonable number of open files for an application. But mostly people
> treat
> > it as an annoyance which they have to work around. If it happens to be
> hit,
> > usually you just increase it because it is not tied to an actual resource
> > constraint. However, occasionally hitting the limit does indicate an
> > application bug such as a leak, so I wouldn't say it is useless.
> Similarly,
> > the issue in KAFKA-7610 was a consumer leak and having this limit would
> > have allowed the problem to be detected before it impacted the cluster.
> To
> > me, that's the main benefit. It's possible that it could be used
> > prescriptively to prevent poor usage of groups, but like the open file
> > limit, I suspect administrators will just set it large enough that users
> > are unlikely to complain.
> >
> > Anyway, just a couple additional questions:
> >
> > 1. I think it would be helpful to clarify the details on how the
> > coordinator will shrink the group. It will need to choose which members
> to
> > remove. Are we going to give current members an opportunity to commit
> > offsets before kicking them from the group?
> >
> > 2. Do you think we should make this a dynamic config?
> >
> > Thanks,
> > Jason
> >
> >
> >
> >
> > On Wed, Nov 28, 2018 at 2:42 AM Stanislav Kozlovski <
> > stanislav@confluent.io>
> > wrote:
> >
> > > Hi Jason,
> > >
> > > You raise some very valid points.
> > >
> > > > The benefit of this KIP is probably limited to preventing "runaway"
> > > consumer groups due to leaks or some other application bug
> > > What do you think about the use case I mentioned in my previous reply
> > about
> > > a more resilient self-service Kafka? I believe the benefit there is
> > bigger
> > >
> > > * Default value
> > > You're right, we probably do need to be conservative. Big consumer
> groups
> > > are considered an anti-pattern and my goal was to also hint at this
> > through
> > > the config's default. Regardless, it is better to not have the
> potential
> > to
> > > break applications with an upgrade.
> > > Choosing between the default of something big like 5000 or an opt-in
> > > option, I think we should go with the *disabled default option*  (-1).
> > > The only benefit we would get from a big default of 5000 is default
> > > protection against buggy/malicious applications that hit the KAFKA-7610
> > > issue.
> > > While this KIP was spawned from that issue, I believe its value is
> > enabling
> > > the possibility of protection and helping move towards a more
> > self-service
> > > Kafka. I also think that a default value of 5000 might be misleading to
> > > users and lead them to think that big consumer groups (> 250) are a
> good
> > > thing.
> > >
> > > The good news is that KAFKA-7610 should be fully resolved and the
> > rebalance
> > > protocol should, in general, be more solid after the planned
> improvements
> > > in KIP-345 and KIP-394.
> > >
> > > * Handling bigger groups during upgrade
> > > I now see that we store the state of consumer groups in the log and
> why a
> > > rebalance isn't expected during a rolling upgrade.
> > > Since we're going with the default value of the max.size being
> disabled,
> > I
> > > believe we can afford to be more strict here.
> > > During state reloading of a new Coordinator with a defined
> max.group.size
> > > config, I believe we should *force* rebalances for groups that exceed
> the
> > > configured size. Then, only some consumers will be able to join and the
> > max
> > > size invariant will be satisfied.
> > >
> > > I updated the KIP with a migration plan, rejected alternatives and the
> > new
> > > default value.
> > >
> > > Thanks,
> > > Stanislav
> > >
> > > On Tue, Nov 27, 2018 at 5:25 PM Jason Gustafson <jason@confluent.io>
> > > wrote:
> > >
> > > > Hey Stanislav,
> > > >
> > > > Clients will then find that coordinator
> > > > > and send `joinGroup` on it, effectively rebuilding the group, since
> > the
> > > > > cache of active consumers is not stored outside the Coordinator's
> > > memory.
> > > > > (please do say if that is incorrect)
> > > >
> > > >
> > > > Groups do not typically rebalance after a coordinator change. You
> could
> > > > potentially force a rebalance if the group is too big and kick out
> the
> > > > slowest members or something. A more graceful solution is probably to
> > > just
> > > > accept the current size and prevent it from getting bigger. We could
> > log
> > > a
> > > > warning potentially.
> > > >
> > > > My thinking is that we should abstract away from conserving resources
> > and
> > > > > focus on giving control to the broker. The issue that spawned this
> > KIP
> > > > was
> > > > > a memory problem but I feel this change is useful in a more general
> > > way.
> > > >
> > > >
> > > > So you probably already know why I'm asking about this. For consumer
> > > groups
> > > > anyway, resource usage would typically be proportional to the number
> of
> > > > partitions that a group is reading from and not the number of
> members.
> > > For
> > > > example, consider the memory use in the offsets cache. The benefit of
> > > this
> > > > KIP is probably limited to preventing "runaway" consumer groups due
> to
> > > > leaks or some other application bug. That still seems useful though.
> > > >
> > > > I completely agree with this and I *ask everybody to chime in with
> > > opinions
> > > > > on a sensible default value*.
> > > >
> > > >
> > > > I think we would have to be very conservative. The group protocol is
> > > > generic in some sense, so there may be use cases we don't know of
> where
> > > > larger groups are reasonable. Probably we should make this an opt-in
> > > > feature so that we do not risk breaking anyone's application after an
> > > > upgrade. Either that, or use a very high default like 5,000.
> > > >
> > > > Thanks,
> > > > Jason
> > > >
> > > > On Tue, Nov 27, 2018 at 3:27 AM Stanislav Kozlovski <
> > > > stanislav@confluent.io>
> > > > wrote:
> > > >
> > > > > Hey Jason and Boyang, those were important comments
> > > > >
> > > > > > One suggestion I have is that it would be helpful to put your
> > > reasoning
> > > > > on deciding the current default value. For example, in certain use
> > > cases
> > > > at
> > > > > Pinterest we are very likely to have more consumers than 250 when
> we
> > > > > configure 8 stream instances with 32 threads.
> > > > > > For the effectiveness of this KIP, we should encourage people
to
> > > > discuss
> > > > > their opinions on the default setting and ideally reach a
> consensus.
> > > > >
> > > > > I completely agree with this and I *ask everybody to chime in with
> > > > opinions
> > > > > on a sensible default value*.
> > > > > My thought process was that in the current model rebalances in
> large
> > > > groups
> > > > > are more costly. I imagine most use cases in most Kafka users do
> not
> > > > > require more than 250 consumers.
> > > > > Boyang, you say that you are "likely to have... when we..." - do
> you
> > > have
> > > > > systems running with so many consumers in a group or are you
> planning
> > > > to? I
> > > > > guess what I'm asking is whether this has been tested in production
> > > with
> > > > > the current rebalance model (ignoring KIP-345)
> > > > >
> > > > > >  Can you clarify the compatibility impact here? What
> > > > > > will happen to groups that are already larger than the max size?
> > > > > This is a very important question.
> > > > > From my current understanding, when a coordinator broker gets shut
> > > > > down during a cluster rolling upgrade, a replica will take
> leadership
> > > of
> > > > > the `__offset_commits` partition. Clients will then find that
> > > coordinator
> > > > > and send `joinGroup` on it, effectively rebuilding the group, since
> > the
> > > > > cache of active consumers is not stored outside the Coordinator's
> > > memory.
> > > > > (please do say if that is incorrect)
> > > > > Then, I believe that working as if this is a new group is a
> > reasonable
> > > > > approach. Namely, fail joinGroups when the max.size is exceeded.
> > > > > What do you guys think about this? (I'll update the KIP after we
> > settle
> > > > on
> > > > > a solution)
> > > > >
> > > > > >  Also, just to be clear, the resource we are trying to conserve
> > here
> > > is
> > > > > what? Memory?
> > > > > My thinking is that we should abstract away from conserving
> resources
> > > and
> > > > > focus on giving control to the broker. The issue that spawned this
> > KIP
> > > > was
> > > > > a memory problem but I feel this change is useful in a more general
> > > way.
> > > > It
> > > > > limits the control clients have on the cluster and helps Kafka
> > become a
> > > > > more self-serving system. Admin/Ops teams can better control the
> > impact
> > > > > application developers can have on a Kafka cluster with this change
> > > > >
> > > > > Best,
> > > > > Stanislav
> > > > >
> > > > >
> > > > > On Mon, Nov 26, 2018 at 8:00 PM Jason Gustafson <
> jason@confluent.io>
> > > > > wrote:
> > > > >
> > > > > > Hi Stanislav,
> > > > > >
> > > > > > Thanks for the KIP. Can you clarify the compatibility impact
> here?
> > > What
> > > > > > will happen to groups that are already larger than the max size?
> > > Also,
> > > > > just
> > > > > > to be clear, the resource we are trying to conserve here is
what?
> > > > Memory?
> > > > > >
> > > > > > -Jason
> > > > > >
> > > > > > On Mon, Nov 26, 2018 at 2:44 AM Boyang Chen <bchen11@outlook.com
> >
> > > > wrote:
> > > > > >
> > > > > > > Thanks Stanislav for the update! One suggestion I have
is that
> it
> > > > would
> > > > > > be
> > > > > > > helpful to put your
> > > > > > >
> > > > > > > reasoning on deciding the current default value. For example,
> in
> > > > > certain
> > > > > > > use cases at Pinterest we are very likely
> > > > > > >
> > > > > > > to have more consumers than 250 when we configure 8 stream
> > > instances
> > > > > with
> > > > > > > 32 threads.
> > > > > > >
> > > > > > >
> > > > > > > For the effectiveness of this KIP, we should encourage
people
> to
> > > > > discuss
> > > > > > > their opinions on the default setting and ideally reach
a
> > > consensus.
> > > > > > >
> > > > > > >
> > > > > > > Best,
> > > > > > >
> > > > > > > Boyang
> > > > > > >
> > > > > > > ________________________________
> > > > > > > From: Stanislav Kozlovski <stanislav@confluent.io>
> > > > > > > Sent: Monday, November 26, 2018 6:14 PM
> > > > > > > To: dev@kafka.apache.org
> > > > > > > Subject: Re: [Discuss] KIP-389: Enforce group.max.size
to cap
> > > member
> > > > > > > metadata growth
> > > > > > >
> > > > > > > Hey everybody,
> > > > > > >
> > > > > > > It's been a week since this KIP and not much discussion
has
> been
> > > > made.
> > > > > > > I assume that this is a straight forward change and I will
> open a
> > > > > voting
> > > > > > > thread in the next couple of days if nobody has anything
to
> > > suggest.
> > > > > > >
> > > > > > > Best,
> > > > > > > Stanislav
> > > > > > >
> > > > > > > On Thu, Nov 22, 2018 at 12:56 PM Stanislav Kozlovski <
> > > > > > > stanislav@confluent.io>
> > > > > > > wrote:
> > > > > > >
> > > > > > > > Greetings everybody,
> > > > > > > >
> > > > > > > > I have enriched the KIP a bit with a bigger Motivation
> section
> > > and
> > > > > also
> > > > > > > > renamed it.
> > > > > > > > KIP:
> > > > > > > >
> > > > > > >
> > > > > >
> > > > >
> > > >
> > >
> >
> https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcwiki.apache.org%2Fconfluence%2Fdisplay%2FKAFKA%2FKIP-389%253A%2BIntroduce%2Ba%2Bconfigurable%2Bconsumer%2Bgroup%2Bsize%2Blimit&amp;data=02%7C01%7C%7C129cd5e4e468408aeea908d65a977179%7C84df9e7fe9f640afb435aaaaaaaaaaaa%7C1%7C0%7C636796003819759177&amp;sdata=kcwQBabXBS0qjm8wfOVkGPxFlLPVw5nULEDyXE7x3kQ%3D&amp;reserved=0
> > > > > > > >
> > > > > > > > I'm looking forward to discussions around it.
> > > > > > > >
> > > > > > > > Best,
> > > > > > > > Stanislav
> > > > > > > >
> > > > > > > > On Tue, Nov 20, 2018 at 1:47 PM Stanislav Kozlovski
<
> > > > > > > > stanislav@confluent.io> wrote:
> > > > > > > >
> > > > > > > >> Hey there everybody,
> > > > > > > >>
> > > > > > > >> Thanks for the introduction Boyang. I appreciate
the effort
> > you
> > > > are
> > > > > > > >> putting into improving consumer behavior in Kafka.
> > > > > > > >>
> > > > > > > >> @Matt
> > > > > > > >> I also believe the default value is high. In my
opinion, we
> > > should
> > > > > aim
> > > > > > > to
> > > > > > > >> a default cap around 250. This is because in the
current
> model
> > > any
> > > > > > > consumer
> > > > > > > >> rebalance is disrupting to every consumer. The
bigger the
> > group,
> > > > the
> > > > > > > longer
> > > > > > > >> this period of disruption.
> > > > > > > >>
> > > > > > > >> If you have such a large consumer group, chances
are that
> your
> > > > > > > >> client-side logic could be structured better and
that you
> are
> > > not
> > > > > > using
> > > > > > > the
> > > > > > > >> high number of consumers to achieve high throughput.
> > > > > > > >> 250 can still be considered of a high upper bound,
I believe
> > in
> > > > > > practice
> > > > > > > >> users should aim to not go over 100 consumers
per consumer
> > > group.
> > > > > > > >>
> > > > > > > >> In regards to the cap being global/per-broker,
I think that
> we
> > > > > should
> > > > > > > >> consider whether we want it to be global or *per-topic*.
For
> > the
> > > > > time
> > > > > > > >> being, I believe that having it per-topic with
a global
> > default
> > > > > might
> > > > > > be
> > > > > > > >> the best situation. Having it global only seems
a bit
> > > restricting
> > > > to
> > > > > > me
> > > > > > > and
> > > > > > > >> it never hurts to support more fine-grained configurability
> > > (given
> > > > > > it's
> > > > > > > the
> > > > > > > >> same config, not a new one being introduced).
> > > > > > > >>
> > > > > > > >> On Tue, Nov 20, 2018 at 11:32 AM Boyang Chen <
> > > bchen11@outlook.com
> > > > >
> > > > > > > wrote:
> > > > > > > >>
> > > > > > > >>> Thanks Matt for the suggestion! I'm still
open to any
> > > suggestion
> > > > to
> > > > > > > >>> change the default value. Meanwhile I just
want to point
> out
> > > that
> > > > > > this
> > > > > > > >>> value is a just last line of defense, not
a real scenario
> we
> > > > would
> > > > > > > expect.
> > > > > > > >>>
> > > > > > > >>>
> > > > > > > >>> In the meanwhile, I discussed with Stanislav
and he would
> be
> > > > > driving
> > > > > > > the
> > > > > > > >>> 389 effort from now on. Stanislav proposed
the idea in the
> > > first
> > > > > > place
> > > > > > > and
> > > > > > > >>> had already come up a draft design, while
I will keep
> > focusing
> > > on
> > > > > > > KIP-345
> > > > > > > >>> effort to ensure solving the edge case described
in the
> JIRA<
> > > > > > > >>>
> > > > > > >
> > > > > >
> > > > >
> > > >
> > >
> >
> https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fissues.apache.org%2Fjira%2Fbrowse%2FKAFKA-7610&amp;data=02%7C01%7C%7C129cd5e4e468408aeea908d65a977179%7C84df9e7fe9f640afb435aaaaaaaaaaaa%7C1%7C0%7C636796003819759177&amp;sdata=Qw85a9r9kqqwgLJ1m2VA%2FrBWSQ6tU65HlayaFYSKC5U%3D&amp;reserved=0
> > > > > > > >.
> > > > > > > >>>
> > > > > > > >>>
> > > > > > > >>> Thank you Stanislav for making this happen!
> > > > > > > >>>
> > > > > > > >>>
> > > > > > > >>> Boyang
> > > > > > > >>>
> > > > > > > >>> ________________________________
> > > > > > > >>> From: Matt Farmer <matt@frmr.me>
> > > > > > > >>> Sent: Tuesday, November 20, 2018 10:24 AM
> > > > > > > >>> To: dev@kafka.apache.org
> > > > > > > >>> Subject: Re: [Discuss] KIP-389: Enforce group.max.size
to
> cap
> > > > > member
> > > > > > > >>> metadata growth
> > > > > > > >>>
> > > > > > > >>> Thanks for the KIP.
> > > > > > > >>>
> > > > > > > >>> Will this cap be a global cap across the entire
cluster or
> > per
> > > > > > broker?
> > > > > > > >>>
> > > > > > > >>> Either way the default value seems a bit high
to me, but
> that
> > > > could
> > > > > > > just
> > > > > > > >>> be
> > > > > > > >>> from my own usage patterns. I'd have probably
started with
> > 500
> > > or
> > > > > 1k
> > > > > > > but
> > > > > > > >>> could be easily convinced that's wrong.
> > > > > > > >>>
> > > > > > > >>> Thanks,
> > > > > > > >>> Matt
> > > > > > > >>>
> > > > > > > >>> On Mon, Nov 19, 2018 at 8:51 PM Boyang Chen
<
> > > bchen11@outlook.com
> > > > >
> > > > > > > wrote:
> > > > > > > >>>
> > > > > > > >>> > Hey folks,
> > > > > > > >>> >
> > > > > > > >>> >
> > > > > > > >>> > I would like to start a discussion on
KIP-389:
> > > > > > > >>> >
> > > > > > > >>> >
> > > > > > > >>> >
> > > > > > > >>>
> > > > > > >
> > > > > >
> > > > >
> > > >
> > >
> >
> https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcwiki.apache.org%2Fconfluence%2Fdisplay%2FKAFKA%2FKIP-389%253A%2BEnforce%2Bgroup.max.size%2Bto%2Bcap%2Bmember%2Bmetadata%2Bgrowth&amp;data=02%7C01%7C%7C129cd5e4e468408aeea908d65a977179%7C84df9e7fe9f640afb435aaaaaaaaaaaa%7C1%7C0%7C636796003819759177&amp;sdata=DeelC0HUlsROQQ0NduyCcOJXNAOUBAAhlIpDI71vO%2Bk%3D&amp;reserved=0
> > > > > > > >>> >
> > > > > > > >>> >
> > > > > > > >>> > This is a pretty simple change to cap
the consumer group
> > size
> > > > for
> > > > > > > >>> broker
> > > > > > > >>> > stability. Give me your valuable feedback
when you got
> > time.
> > > > > > > >>> >
> > > > > > > >>> >
> > > > > > > >>> > Thank you!
> > > > > > > >>> >
> > > > > > > >>>
> > > > > > > >>
> > > > > > > >>
> > > > > > > >> --
> > > > > > > >> Best,
> > > > > > > >> Stanislav
> > > > > > > >>
> > > > > > > >
> > > > > > > >
> > > > > > > > --
> > > > > > > > Best,
> > > > > > > > Stanislav
> > > > > > > >
> > > > > > >
> > > > > > >
> > > > > > > --
> > > > > > > Best,
> > > > > > > Stanislav
> > > > > > >
> > > > > >
> > > > >
> > > > >
> > > > > --
> > > > > Best,
> > > > > Stanislav
> > > > >
> > > >
> > >
> > >
> > > --
> > > Best,
> > > Stanislav
> > >
> >
>
>
> --
> Best,
> Stanislav
>


--
Best,
Stanislav

Mime
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