Hey Becket,

Thanks for the KIP! The approach seems reasonable. One clarification: is
the intent to do the splitting after the broker rejects the request with
MESSAGE_TOO_LARGE, or prior to sending if the configured batch size is
exceeded?

-Jason

On Mon, Mar 13, 2017 at 8:10 PM, Becket Qin <becket....@gmail.com> wrote:

> Bump up the thread for further comments. If there is no more comments on
> the KIP I will start the voting thread on Wed.
>
> Thanks,
>
> Jiangjie (Becket) Qin
>
> On Tue, Mar 7, 2017 at 9:48 AM, Becket Qin <becket....@gmail.com> wrote:
>
> > Hi Dong,
> >
> > Thanks for the comments.
> >
> > The patch is mostly for proof of concept in case there is any concern
> > about the implementation which is indeed a little tricky.
> >
> > The new metric has already been mentioned in the Public Interface Change
> > section.
> >
> > I added the reasoning about how the compression ratio
> > improving/deteriorate steps are determined in the wiki.
> >
> > Thanks,
> >
> > Jiangjie (Becket) Qin
> >
> >
> > On Mon, Mar 6, 2017 at 4:42 PM, Dong Lin <lindon...@gmail.com> wrote:
> >
> >> Hey Becket,
> >>
> >> I am wondering if we should first vote for the KIP before reviewing the
> >> patch. I have two comments below:
> >>
> >> - Should we specify the new sensors as part of interface change in the
> >> KIP?
> >> - The KIP proposes to increase estimated compression ratio by 0.05 for
> >> each
> >> underestimation and decrement the estimation by 0.005 for each
> >> overestimation. Why are these two values chosen? I think there is some
> >> tradeoff in selecting the value. Can the KIP be more explicit about the
> >> tradeoff and explain how these two values would impact producer's
> >> performance?
> >>
> >> Thanks,
> >> Dong
> >>
> >>
> >> On Sat, Mar 4, 2017 at 11:42 AM, Becket Qin <becket....@gmail.com>
> wrote:
> >>
> >> > I have updated the KIP based on the latest discussion. Please check
> and
> >> let
> >> > me know if there is any further concern.
> >> >
> >> > Thanks,
> >> >
> >> > Jiangjie (Becket) Qin
> >> >
> >> > On Sat, Mar 4, 2017 at 10:56 AM, Becket Qin <becket....@gmail.com>
> >> wrote:
> >> >
> >> > > Actually second thought on this, rate might be better for two
> reasons:
> >> > > 1. Most of the metrics in the producer we already have are using
> rate
> >> > > instead of count.
> >> > > 2. If a service is bounced, the count will be reset to 0, but it
> does
> >> not
> >> > > affect rate.
> >> > >
> >> > > I'll make the change.
> >> > >
> >> > > Thanks,
> >> > >
> >> > > Jiangjie (Becket) Qin
> >> > >
> >> > > On Sat, Mar 4, 2017 at 10:27 AM, Becket Qin <becket....@gmail.com>
> >> > wrote:
> >> > >
> >> > >> Hi Dong,
> >> > >>
> >> > >> Yes, there is a sensor in the patch about the split occurrence.
> >> > >>
> >> > >> Currently it is a count instead of rate. In practice, it seems
> count
> >> is
> >> > >> easier to use in this case. But I am open to change.
> >> > >>
> >> > >> Thanks,
> >> > >>
> >> > >> Jiangjie (Becket) Qin
> >> > >>
> >> > >> On Fri, Mar 3, 2017 at 7:43 PM, Dong Lin <lindon...@gmail.com>
> >> wrote:
> >> > >>
> >> > >>> Hey Becket,
> >> > >>>
> >> > >>> I haven't looked at the patch yet. But since we are going to try
> the
> >> > >>> split-on-oversize solution, should the KIP also add a sensor that
> >> shows
> >> > >>> the
> >> > >>> rate of split per second and the probability of split?
> >> > >>>
> >> > >>> Thanks,
> >> > >>> Dong
> >> > >>>
> >> > >>>
> >> > >>> On Fri, Mar 3, 2017 at 6:39 PM, Becket Qin <becket....@gmail.com>
> >> > wrote:
> >> > >>>
> >> > >>> > Just to clarify, the implementation is basically what I
> mentioned
> >> > above
> >> > >>> > (split/resend + adjusted estimation evolving algorithm) and
> >> changing
> >> > >>> the
> >> > >>> > compression ratio estimation to be per topic.
> >> > >>> >
> >> > >>> > Thanks,
> >> > >>> >
> >> > >>> > Jiangjie (Becket) Qin
> >> > >>> >
> >> > >>> > On Fri, Mar 3, 2017 at 6:36 PM, Becket Qin <
> becket....@gmail.com>
> >> > >>> wrote:
> >> > >>> >
> >> > >>> > > I went ahead and have a patch submitted here:
> >> > >>> > > https://github.com/apache/kafka/pull/2638
> >> > >>> > >
> >> > >>> > > Per Joel's suggestion, I changed the compression ratio to be
> per
> >> > >>> topic as
> >> > >>> > > well. It seems working well. Since there is an important
> >> behavior
> >> > >>> change
> >> > >>> > > and a new sensor is added, I'll keep the KIP and update it
> >> > according.
> >> > >>> > >
> >> > >>> > > Thanks,
> >> > >>> > >
> >> > >>> > > Jiangjie (Becket) Qin
> >> > >>> > >
> >> > >>> > > On Mon, Feb 27, 2017 at 3:50 PM, Joel Koshy <
> >> jjkosh...@gmail.com>
> >> > >>> wrote:
> >> > >>> > >
> >> > >>> > >> >
> >> > >>> > >> > Lets say we sent the batch over the wire and received a
> >> > >>> > >> > RecordTooLargeException, how do we split it as once we add
> >> the
> >> > >>> message
> >> > >>> > >> to
> >> > >>> > >> > the batch we loose the message level granularity. We will
> >> have
> >> > to
> >> > >>> > >> > decompress, do deep iteration and split and again compress.
> >> > right?
> >> > >>> > This
> >> > >>> > >> > looks like a performance bottle neck in case of multi topic
> >> > >>> producers
> >> > >>> > >> like
> >> > >>> > >> > mirror maker.
> >> > >>> > >> >
> >> > >>> > >>
> >> > >>> > >> Yes, but these should be outliers if we do estimation on a
> >> > per-topic
> >> > >>> > basis
> >> > >>> > >> and if we target a conservative-enough compression ratio. The
> >> > >>> producer
> >> > >>> > >> should also avoid sending over the wire if it can be made
> >> aware of
> >> > >>> the
> >> > >>> > >> max-message size limit on the broker, and split if it
> >> determines
> >> > >>> that a
> >> > >>> > >> record exceeds the broker's config. Ideally this should be
> >> part of
> >> > >>> topic
> >> > >>> > >> metadata but is not - so it could be off a periodic
> >> > describe-configs
> >> > >>> > >> <https://cwiki.apache.org/confluence/display/KAFKA/KIP-4+-+
> >> > >>> > >> Command+line+and+centralized+administrative+operations#KIP-
> >> > >>> > >> 4-Commandlineandcentralizedadministrativeoperations-Describe
> >> > >>> > >> ConfigsRequest>
> >> > >>> > >> (which isn't available yet). This doesn't remove the need to
> >> split
> >> > >>> and
> >> > >>> > >> recompress though.
> >> > >>> > >>
> >> > >>> > >>
> >> > >>> > >> > On Mon, Feb 27, 2017 at 10:51 AM, Becket Qin <
> >> > >>> becket....@gmail.com>
> >> > >>> > >> wrote:
> >> > >>> > >> >
> >> > >>> > >> > > Hey Mayuresh,
> >> > >>> > >> > >
> >> > >>> > >> > > 1) The batch would be split when an
> >> RecordTooLargeException is
> >> > >>> > >> received.
> >> > >>> > >> > > 2) Not lower the actual compression ratio, but lower the
> >> > >>> estimated
> >> > >>> > >> > > compression ratio "according to" the Actual Compression
> >> > >>> Ratio(ACR).
> >> > >>> > >> > >
> >> > >>> > >> > > An example, let's start with Estimated Compression Ratio
> >> > (ECR) =
> >> > >>> > 1.0.
> >> > >>> > >> Say
> >> > >>> > >> > > the compression ratio of ACR is ~0.8, instead of letting
> >> the
> >> > ECR
> >> > >>> > >> dropped
> >> > >>> > >> > to
> >> > >>> > >> > > 0.8 very quickly, we only drop 0.001 every time when ACR
> <
> >> > ECR.
> >> > >>> > >> However,
> >> > >>> > >> > > once we see an ACR > ECR, we increment ECR by 0.05. If a
> >> > >>> > >> > > RecordTooLargeException is received, we reset the ECR
> back
> >> to
> >> > >>> 1.0
> >> > >>> > and
> >> > >>> > >> > split
> >> > >>> > >> > > the batch.
> >> > >>> > >> > >
> >> > >>> > >> > > Thanks,
> >> > >>> > >> > >
> >> > >>> > >> > > Jiangjie (Becket) Qin
> >> > >>> > >> > >
> >> > >>> > >> > >
> >> > >>> > >> > >
> >> > >>> > >> > > On Mon, Feb 27, 2017 at 10:30 AM, Mayuresh Gharat <
> >> > >>> > >> > > gharatmayures...@gmail.com> wrote:
> >> > >>> > >> > >
> >> > >>> > >> > > > Hi Becket,
> >> > >>> > >> > > >
> >> > >>> > >> > > > Seems like an interesting idea.
> >> > >>> > >> > > > I had couple of questions :
> >> > >>> > >> > > > 1) How do we decide when the batch should be split?
> >> > >>> > >> > > > 2) What do you mean by slowly lowering the "actual"
> >> > >>> compression
> >> > >>> > >> ratio?
> >> > >>> > >> > > > An example would really help here.
> >> > >>> > >> > > >
> >> > >>> > >> > > > Thanks,
> >> > >>> > >> > > >
> >> > >>> > >> > > > Mayuresh
> >> > >>> > >> > > >
> >> > >>> > >> > > > On Fri, Feb 24, 2017 at 3:17 PM, Becket Qin <
> >> > >>> becket....@gmail.com
> >> > >>> > >
> >> > >>> > >> > > wrote:
> >> > >>> > >> > > >
> >> > >>> > >> > > > > Hi Jay,
> >> > >>> > >> > > > >
> >> > >>> > >> > > > > Yeah, I got your point.
> >> > >>> > >> > > > >
> >> > >>> > >> > > > > I think there might be a solution which do not
> require
> >> > >>> adding a
> >> > >>> > >> new
> >> > >>> > >> > > > > configuration. We can start from a very conservative
> >> > >>> compression
> >> > >>> > >> > ratio
> >> > >>> > >> > > > say
> >> > >>> > >> > > > > 1.0 and lower it very slowly according to the actual
> >> > >>> compression
> >> > >>> > >> > ratio
> >> > >>> > >> > > > > until we hit a point that we have to split a batch.
> At
> >> > that
> >> > >>> > >> point, we
> >> > >>> > >> > > > > exponentially back off on the compression ratio. The
> >> idea
> >> > is
> >> > >>> > >> somewhat
> >> > >>> > >> > > > like
> >> > >>> > >> > > > > TCP. This should help avoid frequent split.
> >> > >>> > >> > > > >
> >> > >>> > >> > > > > The upper bound of the batch size is also a little
> >> awkward
> >> > >>> today
> >> > >>> > >> > > because
> >> > >>> > >> > > > we
> >> > >>> > >> > > > > say the batch size is based on compressed size, but
> >> users
> >> > >>> cannot
> >> > >>> > >> set
> >> > >>> > >> > it
> >> > >>> > >> > > > to
> >> > >>> > >> > > > > the max message size because that will result in
> >> oversized
> >> > >>> > >> messages.
> >> > >>> > >> > > With
> >> > >>> > >> > > > > this change we will be able to allow the users to set
> >> the
> >> > >>> > message
> >> > >>> > >> > size
> >> > >>> > >> > > to
> >> > >>> > >> > > > > close to max message size.
> >> > >>> > >> > > > >
> >> > >>> > >> > > > > However the downside is that there could be latency
> >> spikes
> >> > >>> in
> >> > >>> > the
> >> > >>> > >> > > system
> >> > >>> > >> > > > in
> >> > >>> > >> > > > > this case due to the splitting, especially when there
> >> are
> >> > >>> many
> >> > >>> > >> > messages
> >> > >>> > >> > > > > need to be split at the same time. That could
> >> potentially
> >> > >>> be an
> >> > >>> > >> issue
> >> > >>> > >> > > for
> >> > >>> > >> > > > > some users.
> >> > >>> > >> > > > >
> >> > >>> > >> > > > > What do you think about this approach?
> >> > >>> > >> > > > >
> >> > >>> > >> > > > > Thanks,
> >> > >>> > >> > > > >
> >> > >>> > >> > > > > Jiangjie (Becket) Qin
> >> > >>> > >> > > > >
> >> > >>> > >> > > > >
> >> > >>> > >> > > > >
> >> > >>> > >> > > > > On Thu, Feb 23, 2017 at 1:31 PM, Jay Kreps <
> >> > >>> j...@confluent.io>
> >> > >>> > >> wrote:
> >> > >>> > >> > > > >
> >> > >>> > >> > > > > > Hey Becket,
> >> > >>> > >> > > > > >
> >> > >>> > >> > > > > > Yeah that makes sense.
> >> > >>> > >> > > > > >
> >> > >>> > >> > > > > > I agree that you'd really have to both fix the
> >> > estimation
> >> > >>> > (i.e.
> >> > >>> > >> > make
> >> > >>> > >> > > it
> >> > >>> > >> > > > > per
> >> > >>> > >> > > > > > topic or make it better estimate the high
> >> percentiles)
> >> > AND
> >> > >>> > have
> >> > >>> > >> the
> >> > >>> > >> > > > > > recovery mechanism. If you are underestimating
> often
> >> and
> >> > >>> then
> >> > >>> > >> > paying
> >> > >>> > >> > > a
> >> > >>> > >> > > > > high
> >> > >>> > >> > > > > > recovery price that won't fly.
> >> > >>> > >> > > > > >
> >> > >>> > >> > > > > > I think you take my main point though, which is
> just
> >> > that
> >> > >>> I
> >> > >>> > >> hate to
> >> > >>> > >> > > > > exposes
> >> > >>> > >> > > > > > these super low level options to users because it
> is
> >> so
> >> > >>> hard
> >> > >>> > to
> >> > >>> > >> > > explain
> >> > >>> > >> > > > > to
> >> > >>> > >> > > > > > people what it means and how they should set it. So
> >> if
> >> > it
> >> > >>> is
> >> > >>> > >> > possible
> >> > >>> > >> > > > to
> >> > >>> > >> > > > > > make either some combination of better estimation
> and
> >> > >>> > splitting
> >> > >>> > >> or
> >> > >>> > >> > > > better
> >> > >>> > >> > > > > > tolerance of overage that would be preferrable.
> >> > >>> > >> > > > > >
> >> > >>> > >> > > > > > -Jay
> >> > >>> > >> > > > > >
> >> > >>> > >> > > > > > On Thu, Feb 23, 2017 at 11:51 AM, Becket Qin <
> >> > >>> > >> becket....@gmail.com
> >> > >>> > >> > >
> >> > >>> > >> > > > > wrote:
> >> > >>> > >> > > > > >
> >> > >>> > >> > > > > > > @Dong,
> >> > >>> > >> > > > > > >
> >> > >>> > >> > > > > > > Thanks for the comments. The default behavior of
> >> the
> >> > >>> > producer
> >> > >>> > >> > won't
> >> > >>> > >> > > > > > change.
> >> > >>> > >> > > > > > > If the users want to use the uncompressed message
> >> > size,
> >> > >>> they
> >> > >>> > >> > > probably
> >> > >>> > >> > > > > > will
> >> > >>> > >> > > > > > > also bump up the batch size to somewhere close to
> >> the
> >> > >>> max
> >> > >>> > >> message
> >> > >>> > >> > > > size.
> >> > >>> > >> > > > > > > This would be in the document. BTW the default
> >> batch
> >> > >>> size is
> >> > >>> > >> 16K
> >> > >>> > >> > > > which
> >> > >>> > >> > > > > is
> >> > >>> > >> > > > > > > pretty small.
> >> > >>> > >> > > > > > >
> >> > >>> > >> > > > > > > @Jay,
> >> > >>> > >> > > > > > >
> >> > >>> > >> > > > > > > Yeah, we actually had debated quite a bit
> >> internally
> >> > >>> what is
> >> > >>> > >> the
> >> > >>> > >> > > best
> >> > >>> > >> > > > > > > solution to this.
> >> > >>> > >> > > > > > >
> >> > >>> > >> > > > > > > I completely agree it is a bug. In practice we
> >> usually
> >> > >>> leave
> >> > >>> > >> some
> >> > >>> > >> > > > > > headroom
> >> > >>> > >> > > > > > > to allow the compressed size to grow a little if
> >> the
> >> > the
> >> > >>> > >> original
> >> > >>> > >> > > > > > messages
> >> > >>> > >> > > > > > > are not compressible, for example, 1000 KB
> instead
> >> of
> >> > >>> > exactly
> >> > >>> > >> 1
> >> > >>> > >> > MB.
> >> > >>> > >> > > > It
> >> > >>> > >> > > > > is
> >> > >>> > >> > > > > > > likely safe enough.
> >> > >>> > >> > > > > > >
> >> > >>> > >> > > > > > > The major concern for the rejected alternative is
> >> > >>> > >> performance. It
> >> > >>> > >> > > > > largely
> >> > >>> > >> > > > > > > depends on how frequent we need to split a batch,
> >> i.e.
> >> > >>> how
> >> > >>> > >> likely
> >> > >>> > >> > > the
> >> > >>> > >> > > > > > > estimation can go off. If we only need to the
> split
> >> > work
> >> > >>> > >> > > > occasionally,
> >> > >>> > >> > > > > > the
> >> > >>> > >> > > > > > > cost would be amortized so we don't need to worry
> >> > about
> >> > >>> it
> >> > >>> > too
> >> > >>> > >> > > much.
> >> > >>> > >> > > > > > > However, it looks that for a producer with shared
> >> > >>> topics,
> >> > >>> > the
> >> > >>> > >> > > > > estimation
> >> > >>> > >> > > > > > is
> >> > >>> > >> > > > > > > always off. As an example, consider two topics,
> one
> >> > with
> >> > >>> > >> > > compression
> >> > >>> > >> > > > > > ratio
> >> > >>> > >> > > > > > > 0.6 the other 0.2, assuming exactly same traffic,
> >> the
> >> > >>> > average
> >> > >>> > >> > > > > compression
> >> > >>> > >> > > > > > > ratio would be roughly 0.4, which is not right
> for
> >> > >>> either of
> >> > >>> > >> the
> >> > >>> > >> > > > > topics.
> >> > >>> > >> > > > > > So
> >> > >>> > >> > > > > > > almost half of the batches (of the topics with
> 0.6
> >> > >>> > compression
> >> > >>> > >> > > ratio)
> >> > >>> > >> > > > > > will
> >> > >>> > >> > > > > > > end up larger than the configured batch size.
> When
> >> it
> >> > >>> comes
> >> > >>> > to
> >> > >>> > >> > more
> >> > >>> > >> > > > > > topics
> >> > >>> > >> > > > > > > such as mirror maker, this becomes more
> >> unpredictable.
> >> > >>> To
> >> > >>> > >> avoid
> >> > >>> > >> > > > > frequent
> >> > >>> > >> > > > > > > rejection / split of the batches, we need to
> >> > configured
> >> > >>> the
> >> > >>> > >> batch
> >> > >>> > >> > > > size
> >> > >>> > >> > > > > > > pretty conservatively. This could actually hurt
> the
> >> > >>> > >> performance
> >> > >>> > >> > > > because
> >> > >>> > >> > > > > > we
> >> > >>> > >> > > > > > > are shoehorn the messages that are highly
> >> compressible
> >> > >>> to a
> >> > >>> > >> small
> >> > >>> > >> > > > batch
> >> > >>> > >> > > > > > so
> >> > >>> > >> > > > > > > that the other topics that are not that
> >> compressible
> >> > >>> will
> >> > >>> > not
> >> > >>> > >> > > become
> >> > >>> > >> > > > > too
> >> > >>> > >> > > > > > > large with the same batch size. At LinkedIn, our
> >> batch
> >> > >>> size
> >> > >>> > is
> >> > >>> > >> > > > > configured
> >> > >>> > >> > > > > > > to 64 KB because of this. I think we may actually
> >> have
> >> > >>> > better
> >> > >>> > >> > > > batching
> >> > >>> > >> > > > > if
> >> > >>> > >> > > > > > > we just use the uncompressed message size and 800
> >> KB
> >> > >>> batch
> >> > >>> > >> size.
> >> > >>> > >> > > > > > >
> >> > >>> > >> > > > > > > We did not think about loosening the message size
> >> > >>> > restriction,
> >> > >>> > >> > but
> >> > >>> > >> > > > that
> >> > >>> > >> > > > > > > sounds a viable solution given that the consumer
> >> now
> >> > can
> >> > >>> > fetch
> >> > >>> > >> > > > > oversized
> >> > >>> > >> > > > > > > messages. One concern would be that on the broker
> >> side
> >> > >>> > >> oversized
> >> > >>> > >> > > > > messages
> >> > >>> > >> > > > > > > will bring more memory pressure. With KIP-92, we
> >> may
> >> > >>> > mitigate
> >> > >>> > >> > that,
> >> > >>> > >> > > > but
> >> > >>> > >> > > > > > the
> >> > >>> > >> > > > > > > memory allocation for large messages may not be
> >> very
> >> > GC
> >> > >>> > >> > friendly. I
> >> > >>> > >> > > > > need
> >> > >>> > >> > > > > > to
> >> > >>> > >> > > > > > > think about this a little more.
> >> > >>> > >> > > > > > >
> >> > >>> > >> > > > > > > Thanks,
> >> > >>> > >> > > > > > >
> >> > >>> > >> > > > > > > Jiangjie (Becket) Qin
> >> > >>> > >> > > > > > >
> >> > >>> > >> > > > > > >
> >> > >>> > >> > > > > > > On Wed, Feb 22, 2017 at 8:57 PM, Jay Kreps <
> >> > >>> > j...@confluent.io>
> >> > >>> > >> > > wrote:
> >> > >>> > >> > > > > > >
> >> > >>> > >> > > > > > > > Hey Becket,
> >> > >>> > >> > > > > > > >
> >> > >>> > >> > > > > > > > I get the problem we want to solve with this,
> >> but I
> >> > >>> don't
> >> > >>> > >> think
> >> > >>> > >> > > > this
> >> > >>> > >> > > > > is
> >> > >>> > >> > > > > > > > something that makes sense as a user controlled
> >> knob
> >> > >>> that
> >> > >>> > >> > > everyone
> >> > >>> > >> > > > > > > sending
> >> > >>> > >> > > > > > > > data to kafka has to think about. It is
> >> basically a
> >> > >>> bug,
> >> > >>> > >> right?
> >> > >>> > >> > > > > > > >
> >> > >>> > >> > > > > > > > First, as a technical question is it true that
> >> using
> >> > >>> the
> >> > >>> > >> > > > uncompressed
> >> > >>> > >> > > > > > > size
> >> > >>> > >> > > > > > > > for batching actually guarantees that you
> observe
> >> > the
> >> > >>> > >> limit? I
> >> > >>> > >> > > > think
> >> > >>> > >> > > > > > that
> >> > >>> > >> > > > > > > > implies that compression always makes the
> >> messages
> >> > >>> > smaller,
> >> > >>> > >> > > which i
> >> > >>> > >> > > > > > think
> >> > >>> > >> > > > > > > > usually true but is not guaranteed, right? e.g.
> >> if
> >> > >>> someone
> >> > >>> > >> > > encrypts
> >> > >>> > >> > > > > > their
> >> > >>> > >> > > > > > > > data which tends to randomize it and then
> enables
> >> > >>> > >> > compressesion,
> >> > >>> > >> > > it
> >> > >>> > >> > > > > > could
> >> > >>> > >> > > > > > > > slightly get bigger?
> >> > >>> > >> > > > > > > >
> >> > >>> > >> > > > > > > > I also wonder if the rejected alternatives you
> >> > >>> describe
> >> > >>> > >> > couldn't
> >> > >>> > >> > > be
> >> > >>> > >> > > > > > made
> >> > >>> > >> > > > > > > to
> >> > >>> > >> > > > > > > > work: basically try to be a bit better at
> >> estimation
> >> > >>> and
> >> > >>> > >> > recover
> >> > >>> > >> > > > when
> >> > >>> > >> > > > > > we
> >> > >>> > >> > > > > > > > guess wrong. I don't think the memory usage
> >> should
> >> > be
> >> > >>> a
> >> > >>> > >> > problem:
> >> > >>> > >> > > > > isn't
> >> > >>> > >> > > > > > it
> >> > >>> > >> > > > > > > > the same memory usage the consumer of that
> topic
> >> > would
> >> > >>> > need?
> >> > >>> > >> > And
> >> > >>> > >> > > > > can't
> >> > >>> > >> > > > > > > you
> >> > >>> > >> > > > > > > > do the splitting and recompression in a
> streaming
> >> > >>> fashion?
> >> > >>> > >> If
> >> > >>> > >> > we
> >> > >>> > >> > > an
> >> > >>> > >> > > > > > make
> >> > >>> > >> > > > > > > > the estimation rate low and the recovery cost
> is
> >> > just
> >> > >>> ~2x
> >> > >>> > >> the
> >> > >>> > >> > > > normal
> >> > >>> > >> > > > > > cost
> >> > >>> > >> > > > > > > > for that batch that should be totally fine,
> >> right?
> >> > >>> (It's
> >> > >>> > >> > > > technically
> >> > >>> > >> > > > > > true
> >> > >>> > >> > > > > > > > you might have to split more than once, but
> since
> >> > you
> >> > >>> > halve
> >> > >>> > >> it
> >> > >>> > >> > > each
> >> > >>> > >> > > > > > time
> >> > >>> > >> > > > > > > I
> >> > >>> > >> > > > > > > > think should you get a number of halvings that
> is
> >> > >>> > >> logarithmic
> >> > >>> > >> > in
> >> > >>> > >> > > > the
> >> > >>> > >> > > > > > miss
> >> > >>> > >> > > > > > > > size, which, with better estimation you'd hope
> >> would
> >> > >>> be
> >> > >>> > >> super
> >> > >>> > >> > > duper
> >> > >>> > >> > > > > > > small).
> >> > >>> > >> > > > > > > >
> >> > >>> > >> > > > > > > > Alternatively maybe we could work on the other
> >> side
> >> > >>> of the
> >> > >>> > >> > > problem
> >> > >>> > >> > > > > and
> >> > >>> > >> > > > > > > try
> >> > >>> > >> > > > > > > > to make it so that a small miss on message size
> >> > isn't
> >> > >>> a
> >> > >>> > big
> >> > >>> > >> > > > problem.
> >> > >>> > >> > > > > I
> >> > >>> > >> > > > > > > > think original issue was that max size and
> fetch
> >> > size
> >> > >>> were
> >> > >>> > >> > > tightly
> >> > >>> > >> > > > > > > coupled
> >> > >>> > >> > > > > > > > and the way memory in the consumer worked you
> >> really
> >> > >>> > wanted
> >> > >>> > >> > fetch
> >> > >>> > >> > > > > size
> >> > >>> > >> > > > > > to
> >> > >>> > >> > > > > > > > be as small as possible because you'd use that
> >> much
> >> > >>> memory
> >> > >>> > >> per
> >> > >>> > >> > > > > fetched
> >> > >>> > >> > > > > > > > partition and the consumer would get stuck if
> its
> >> > >>> fetch
> >> > >>> > size
> >> > >>> > >> > > wasn't
> >> > >>> > >> > > > > big
> >> > >>> > >> > > > > > > > enough. I think we made some progress on that
> >> issue
> >> > >>> and
> >> > >>> > >> maybe
> >> > >>> > >> > > more
> >> > >>> > >> > > > > > could
> >> > >>> > >> > > > > > > be
> >> > >>> > >> > > > > > > > done there so that a small bit of fuzziness
> >> around
> >> > the
> >> > >>> > size
> >> > >>> > >> > would
> >> > >>> > >> > > > not
> >> > >>> > >> > > > > > be
> >> > >>> > >> > > > > > > an
> >> > >>> > >> > > > > > > > issue?
> >> > >>> > >> > > > > > > >
> >> > >>> > >> > > > > > > > -Jay
> >> > >>> > >> > > > > > > >
> >> > >>> > >> > > > > > > >
> >> > >>> > >> > > > > > > >
> >> > >>> > >> > > > > > > > On Tue, Feb 21, 2017 at 12:30 PM, Becket Qin <
> >> > >>> > >> > > becket....@gmail.com
> >> > >>> > >> > > > >
> >> > >>> > >> > > > > > > wrote:
> >> > >>> > >> > > > > > > >
> >> > >>> > >> > > > > > > > > Hi folks,
> >> > >>> > >> > > > > > > > >
> >> > >>> > >> > > > > > > > > I would like to start the discussion thread
> on
> >> > >>> KIP-126.
> >> > >>> > >> The
> >> > >>> > >> > KIP
> >> > >>> > >> > > > > > propose
> >> > >>> > >> > > > > > > > > adding a new configuration to KafkaProducer
> to
> >> > allow
> >> > >>> > >> batching
> >> > >>> > >> > > > based
> >> > >>> > >> > > > > > on
> >> > >>> > >> > > > > > > > > uncompressed message size.
> >> > >>> > >> > > > > > > > >
> >> > >>> > >> > > > > > > > > Comments are welcome.
> >> > >>> > >> > > > > > > > >
> >> > >>> > >> > > > > > > > > The KIP wiki is following:
> >> > >>> > >> > > > > > > > > https://cwiki.apache.org/confl
> >> > >>> uence/display/KAFKA/KIP-
> >> > >>> > >> > > > > > > > > 126+-+Allow+KafkaProducer+to+b
> >> > >>> > >> atch+based+on+uncompressed+siz
> >> > >>> > >> > e
> >> > >>> > >> > > > > > > > >
> >> > >>> > >> > > > > > > > > Thanks,
> >> > >>> > >> > > > > > > > >
> >> > >>> > >> > > > > > > > > Jiangjie (Becket) Qin
> >> > >>> > >> > > > > > > > >
> >> > >>> > >> > > > > > > >
> >> > >>> > >> > > > > > >
> >> > >>> > >> > > > > >
> >> > >>> > >> > > > >
> >> > >>> > >> > > >
> >> > >>> > >> > > >
> >> > >>> > >> > > >
> >> > >>> > >> > > > --
> >> > >>> > >> > > > -Regards,
> >> > >>> > >> > > > Mayuresh R. Gharat
> >> > >>> > >> > > > (862) 250-7125
> >> > >>> > >> > > >
> >> > >>> > >> > >
> >> > >>> > >> >
> >> > >>> > >> >
> >> > >>> > >> >
> >> > >>> > >> > --
> >> > >>> > >> > -Regards,
> >> > >>> > >> > Mayuresh R. Gharat
> >> > >>> > >> > (862) 250-7125
> >> > >>> > >> >
> >> > >>> > >>
> >> > >>> > >
> >> > >>> > >
> >> > >>> >
> >> > >>>
> >> > >>
> >> > >>
> >> > >
> >> >
> >>
> >
> >
>

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