Edo,

I wouldn't introduce a new config entry, especially since you don't need it
after KAFKA-4137. As a temporary measure that would work for consumers. But
you probably don't want to do the same for brokers - will be worth checking
with Radai since the implementation will be based on KIP-72. To do this
only for consumers, you will need some conditions in the common network
code while allocating and releasing buffers. A bit messy, but doable.



On Wed, Dec 14, 2016 at 11:32 AM, Edoardo Comar <eco...@uk.ibm.com> wrote:

> Thanks Rajini,
> Before Kafka-4137, we could avoid coordinator starvation without making a
> special case for a special connection,
> but rather simply, in applying the buffer.memory check only to 'large'
> responses
> (e.g.  size > 1k, possibly introducing a new config entry) in
>
> NetworkReceive.readFromReadableChannel(ReadableByteChannel)
>
> Essentially this would limit reading fetch responses but allow for other
> responses to be processed.
>
> This is a sample of sizes for responses I collected :
>
> ***** size=108 APIKEY=3 METADATA
> *****  size=28 APIKEY=10 GROUP_COORDINATOR
> *****  size=193 APIKEY=11 JOIN_GROUP
> *****  size=39 APIKEY=14 SYNC_GROUP
> *****  size=39 APIKEY=9 OFFSET_FETCH
> *****  size=45 APIKEY=2 LIST_OFFSETS
> *****  size=88926 APIKEY=1 FETCH
> *****  size=45 APIKEY=1 FETCH
> *****  size=6 APIKEY=12 HEARTBEAT
> *****  size=45 APIKEY=1 FETCH
> *****  size=45 APIKEY=1 FETCH
> *****  size=45 APIKEY=1 FETCH
> *****  size=6 APIKEY=12 HEARTBEAT
> *****  size=45 APIKEY=1 FETCH
> *****  size=45 APIKEY=1 FETCH
>
> What do you think?
> --------------------------------------------------
> Edoardo Comar
> IBM MessageHub
> eco...@uk.ibm.com
> IBM UK Ltd, Hursley Park, SO21 2JN
>
> IBM United Kingdom Limited Registered in England and Wales with number
> 741598 Registered office: PO Box 41, North Harbour, Portsmouth, Hants. PO6
> 3AU
>
>
>
> From:   Rajini Sivaram <rajinisiva...@googlemail.com>
> To:     dev@kafka.apache.org
> Date:   13/12/2016 17:27
> Subject:        Re: [DISCUSS] KIP-81: Max in-flight fetches
>
>
>
> Coordinator starvation: For an implementation based on KIP-72, there will
> be coordinator starvation without KAFKA-4137 since you would stop reading
> from sockets when the memory pool is full (the fact that coordinator
> messages are small doesn't help). I imagine you can work around this by
> treating coordinator connections as special connections but that spills
> over to common network code. Separate NetworkClient for coordinator
> proposed in KAFKA-4137 would be much better.
>
> On Tue, Dec 13, 2016 at 3:47 PM, Mickael Maison <mickael.mai...@gmail.com>
> wrote:
>
> > Thanks for all the feedback.
> >
> > I've updated the KIP with all the details.
> > Below are a few of the main points:
> >
> > - Overall memory usage of the consumer:
> > I made it clear the memory pool is only used to store the raw bytes
> > from the network and that the decompressed/deserialized messages are
> > not stored in it but as extra memory on the heap. In addition, the
> > consumer also keeps track of other things (in flight requests,
> > subscriptions, etc..) that account for extra memory as well. So this
> > is not a hard bound memory constraint but should still allow to
> > roughly size how much memory can be used.
> >
> > - Relation with the existing settings:
> > There are already 2 settings that deal with memory usage of the
> > consumer. I suggest we lower the priority of
> > `max.partition.fetch.bytes` (I wonder if we should attempt to
> > deprecate it or increase its default value so it's a contraint less
> > likely to be hit) and have the new setting `buffer.memory` as High.
> > I'm a bit unsure what's the best default value for `buffer.memory`, I
> > suggested 100MB in the KIP (2 x `fetch.max.bytes`), but I'd appreciate
> > feedback. It should always at least be equal to `max.fetch.bytes`.
> >
> > - Configuration name `buffer.memory`:
> > I think it's the name that makes the most sense. It's aligned with the
> > producer and as mentioned generic enough to allow future changes if
> > needed.
> >
> > - Coordination starvation:
> > Yes this is a potential issue. I'd expect these requests to be small
> > enough to not be affected too much. If that's the case KAFKA-4137
> > suggests a possible fix.
> >
> >
> >
> > On Tue, Dec 13, 2016 at 9:31 AM, Ismael Juma <ism...@juma.me.uk> wrote:
> > > Makes sense Jay.
> > >
> > > Mickael, in addition to how we can compute defaults of the other
> settings
> > > from `buffer.memory`, it would be good to specify what is allowed and
> how
> > > we handle the different cases (e.g. what do we do if
> > > `max.partition.fetch.bytes`
> > > is greater than `buffer.memory`, is that simply not allowed?).
> > >
> > > To summarise the gap between the ideal scenario (user specifies how
> much
> > > memory the consumer can use) and what is being proposed:
> > >
> > > 1. We will decompress and deserialize the data for one or more
> partitions
> > > in order to return them to the user and we don't account for the
> > increased
> > > memory usage resulting from that. This is likely to be significant on
> a
> > per
> > > record basis, but we try to do it for the minimal number of records
> > > possible within the constraints of the system. Currently the
> constraints
> > > are: we decompress and deserialize the data for a partition at a time
> > > (default `max.partition.fetch.bytes` is 1MB, but this is a soft limit
> in
> > > case there are oversized messages) until we have enough records to
> > > satisfy `max.poll.records`
> > > (default 500) or there are no more completed fetches. It seems like
> this
> > > may be OK for a lot of cases, but some tuning will still be required
> in
> > > others.
> > >
> > > 2. We don't account for bookkeeping data structures or intermediate
> > objects
> > > allocated during the general operation of the consumer. Probably
> > something
> > > we have to live with as the cost/benefit of fixing this doesn't seem
> > worth
> > > it.
> > >
> > > Ismael
> > >
> > > On Tue, Dec 13, 2016 at 8:34 AM, Jay Kreps <j...@confluent.io> wrote:
> > >
> > >> Hey Ismael,
> > >>
> > >> Yeah I think we are both saying the same thing---removing only works
> if
> > you
> > >> have a truly optimal strategy. Actually even dynamically computing a
> > >> reasonable default isn't totally obvious (do you set fetch.max.bytes
> to
> > >> equal buffer.memory to try to queue up as much data in the network
> > buffers?
> > >> Do you try to limit it to your socket.receive.buffer size so that you
> > can
> > >> read it in a single shot?).
> > >>
> > >> Regarding what is being measured, my interpretation was the same as
> > yours.
> > >> I was just adding to the previous point that buffer.memory setting
> would
> > >> not be a very close proxy for memory usage. Someone was pointing out
> > that
> > >> compression would make this true, and I was just adding that even
> > without
> > >> compression the object overhead would lead to a high expansion
> factor.
> > >>
> > >> -Jay
> > >>
> > >> On Mon, Dec 12, 2016 at 11:53 PM, Ismael Juma <ism...@juma.me.uk>
> > wrote:
> > >>
> > >> > Hi Jay,
> > >> >
> > >> > About `max.partition.fetch.bytes`, yes it was an oversight not to
> > lower
> > >> its
> > >> > priority as part of KIP-74 given the existence of `fetch.max.bytes`
> > and
> > >> the
> > >> > fact that we can now make progress in the presence of oversized
> > messages
> > >> > independently of either of those settings.
> > >> >
> > >> > I agree that we should try to set those values automatically based
> on
> > >> > `buffer.memory`, but I am not sure if we can have a truly optimal
> > >> strategy.
> > >> > So, I'd go with reducing the priority to "low" instead of removing
> > >> > `fetch.max.bytes` and `max.partition.fetch.bytes` altogether for
> now.
> > If
> > >> > experience in the field tells us that the auto strategy is good
> > enough,
> > >> we
> > >> > can consider removing them (yes, I know, it's unlikely to happen as
> > there
> > >> > won't be that much motivation then).
> > >> >
> > >> > Regarding the "conversion from packed bytes to java objects"
> comment,
> > >> that
> > >> > raises the question: what are we actually measuring here? From the
> > KIP,
> > >> > it's not too clear. My interpretation was that we were not
> measuring
> > the
> > >> > memory usage of the Java objects. In that case, `buffer.memory`
> seems
> > >> like
> > >> > a reasonable name although perhaps the user's expectation is that
> we
> > >> would
> > >> > measure the memory usage of the Java objects?
> > >> >
> > >> > Ismael
> > >> >
> > >> > On Tue, Dec 13, 2016 at 6:21 AM, Jay Kreps <j...@confluent.io>
> wrote:
> > >> >
> > >> > > I think the question is whether we have a truly optimal strategy
> for
> > >> > > deriving the partition- and fetch-level configs from the global
> > >> setting.
> > >> > If
> > >> > > we do then we should just get rid of them. If not, then if we can
> at
> > >> > least
> > >> > > derive usually good and never terrible settings from the global
> > limit
> > >> at
> > >> > > initialization time maybe we can set them automatically unless
> the
> > user
> > >> > > overrides with an explicit conifg. Even the latter would let us
> > mark it
> > >> > low
> > >> > > priority which at least takes it off the list of things you have
> to
> > >> grok
> > >> > to
> > >> > > use the consumer which I suspect would be much appreciated by our
> > poor
> > >> > > users.
> > >> > >
> > >> > > Regardless it'd be nice to make sure we get an explanation of the
> > >> > > relationships between the remaining memory configs in the KIP and
> in
> > >> the
> > >> > > docs.
> > >> > >
> > >> > > I agree that buffer.memory isn't bad.
> > >> > >
> > >> > > -Jay
> > >> > >
> > >> > >
> > >> > > On Mon, Dec 12, 2016 at 2:56 PM, Jason Gustafson <
> > ja...@confluent.io>
> > >> > > wrote:
> > >> > >
> > >> > > > Yeah, that's a good point. Perhaps in retrospect, it would have
> > been
> > >> > > better
> > >> > > > to define `buffer.memory` first and let `fetch.max.bytes` be
> based
> > >> off
> > >> > of
> > >> > > > it. I like `buffer.memory` since it gives the consumer nice
> > symmetry
> > >> > with
> > >> > > > the producer and its generic naming gives us some flexibility
> > >> > internally
> > >> > > > with how we use it. We could still do that I guess, if we're
> > willing
> > >> to
> > >> > > > deprecate `fetch.max.bytes` (one release after adding it!).
> > >> > > >
> > >> > > > As for `max.partition.fetch.bytes`, it's noted in KIP-74 that
> it
> > is
> > >> > still
> > >> > > > useful in Kafka Streams, but I agree it makes sense to lower
> its
> > >> > priority
> > >> > > > in favor of `fetch.max.bytes`.
> > >> > > >
> > >> > > > -Jason
> > >> > > >
> > >> > > > On Sat, Dec 10, 2016 at 2:27 PM, Jay Kreps <j...@confluent.io>
> > wrote:
> > >> > > >
> > >> > > > > Jason, it's not just decompression but also the conversion
> from
> > >> > packed
> > >> > > > > bytes to java objects, right? That can be even larger than
> the
> > >> > > > > decompression blow up. I think this may be okay, the problem
> may
> > >> just
> > >> > > be
> > >> > > > > that the naming is a bit misleading. In the producer you are
> > >> > literally
> > >> > > > > allocating a buffer of that size, so the name buffer.memory
> > makes
> > >> > > sense.
> > >> > > > In
> > >> > > > > this case it is something more like
> max.bytes.read.per.poll.call
> > >> > > > (terrible
> > >> > > > > name, but maybe something like that?).
> > >> > > > >
> > >> > > > > Mickael, I'd second Jason's request for the default and
> expand
> > on
> > >> it.
> > >> > > We
> > >> > > > > currently have several consumer-related memory
> > >> > > > > settings--max.partition.fetch.bytes, fetch.max.bytes. I don't
> > >> think
> > >> > it
> > >> > > > is
> > >> > > > > clear today how to set these. For example we mark
> > >> > > > max.partition.fetch.bytes
> > >> > > > > as high importance and fetch.max.bytes as medium, but it
> seems
> > like
> > >> > it
> > >> > > > > would be the other way around. Can we think this through from
> > the
> > >> > point
> > >> > > > of
> > >> > > > > view of a lazy user? I.e. I have 64MB of space to use for my
> > >> > consumer,
> > >> > > in
> > >> > > > > an ideal world I'd say, "hey consumer here is 64MB go use
> that
> > as
> > >> > > > > efficiently as possible" and not have to tune a bunch of
> > individual
> > >> > > > things
> > >> > > > > with complex relationships. Maybe one or both of the existing
> > >> > settings
> > >> > > > can
> > >> > > > > either be eliminated or at the least marked as low priority
> and
> > we
> > >> > can
> > >> > > > > infer a reasonable default from the new config your
> introducing?
> > >> > > > >
> > >> > > > > -jay
> > >> > > > >
> > >> > > > > On Fri, Dec 9, 2016 at 2:08 PM, Jason Gustafson <
> > >> ja...@confluent.io>
> > >> > > > > wrote:
> > >> > > > >
> > >> > > > > > Hi Mickael,
> > >> > > > > >
> > >> > > > > > I think the approach looks good, just a few minor
> questions:
> > >> > > > > >
> > >> > > > > > 1. The KIP doesn't say what the default value of
> > `buffer.memory`
> > >> > will
> > >> > > > be.
> > >> > > > > > Looks like we use 50MB as the default for
> `fetch.max.bytes`,
> > so
> > >> > > perhaps
> > >> > > > > it
> > >> > > > > > makes sense to set the default based on that. Might also be
> > worth
> > >> > > > > > mentioning somewhere the constraint between the two
> configs.
> > >> > > > > > 2. To clarify, this limit only affects the uncompressed
> size
> > of
> > >> the
> > >> > > > > fetched
> > >> > > > > > data, right? The consumer may still exceed it in order to
> > store
> > >> the
> > >> > > > > > decompressed record data. We delay decompression until the
> > >> records
> > >> > > are
> > >> > > > > > returned to the user, but because of max.poll.records, we
> may
> > end
> > >> > up
> > >> > > > > > holding onto the decompressed data from a single partition
> > for a
> > >> > few
> > >> > > > > > iterations. I think this is fine, but probably worth noting
> in
> > >> the
> > >> > > KIP.
> > >> > > > > > 3. Is there any risk using the MemoryPool that, after we
> fill
> > up
> > >> > the
> > >> > > > > memory
> > >> > > > > > with fetch data, we can starve the coordinator's
> connection?
> > >> > Suppose,
> > >> > > > for
> > >> > > > > > example, that we send a bunch of pre-fetches right before
> > >> returning
> > >> > > to
> > >> > > > > the
> > >> > > > > > user. These fetches might return before the next call to
> > poll(),
> > >> in
> > >> > > > which
> > >> > > > > > case we might not have enough memory to receive heartbeats,
> > which
> > >> > > would
> > >> > > > > > block us from sending additional heartbeats until the next
> > call
> > >> to
> > >> > > > > poll().
> > >> > > > > > Not sure it's a big problem since heartbeats are tiny, but
> > might
> > >> be
> > >> > > > worth
> > >> > > > > > thinking about.
> > >> > > > > >
> > >> > > > > > Thanks,
> > >> > > > > > Jason
> > >> > > > > >
> > >> > > > > >
> > >> > > > > > On Fri, Dec 2, 2016 at 4:31 AM, Mickael Maison <
> > >> > > > mickael.mai...@gmail.com
> > >> > > > > >
> > >> > > > > > wrote:
> > >> > > > > >
> > >> > > > > > > It's been a few days since the last comments. KIP-72 vote
> > seems
> > >> > to
> > >> > > > > > > have passed so if I don't get any new comments I'll start
> > the
> > >> > vote
> > >> > > on
> > >> > > > > > > Monday.
> > >> > > > > > > Thanks
> > >> > > > > > >
> > >> > > > > > > On Mon, Nov 14, 2016 at 6:25 PM, radai <
> > >> > radai.rosenbl...@gmail.com
> > >> > > >
> > >> > > > > > wrote:
> > >> > > > > > > > +1 - there's is a need for an effective way to control
> > kafka
> > >> > > memory
> > >> > > > > > > > consumption - both on the broker and on clients.
> > >> > > > > > > > i think we could even reuse the exact same param name -
> > >> > > > > > > *queued.max.bytes *-
> > >> > > > > > > > as it would serve the exact same purpose.
> > >> > > > > > > >
> > >> > > > > > > > also (and again its the same across the broker and
> > clients)
> > >> > this
> > >> > > > > bound
> > >> > > > > > > > should also cover decompression, at some point.
> > >> > > > > > > > the problem with that is that to the best of my
> knowledge
> > the
> > >> > > > current
> > >> > > > > > > wire
> > >> > > > > > > > protocol does not declare the final, uncompressed size
> of
> > >> > > anything
> > >> > > > up
> > >> > > > > > > front
> > >> > > > > > > > - all we know is the size of the compressed buffer.
> this
> > may
> > >> > > > require
> > >> > > > > a
> > >> > > > > > > > format change in the future to properly support?
> > >> > > > > > > >
> > >> > > > > > > > On Mon, Nov 14, 2016 at 10:03 AM, Mickael Maison <
> > >> > > > > > > mickael.mai...@gmail.com>
> > >> > > > > > > > wrote:
> > >> > > > > > > >
> > >> > > > > > > >> Thanks for all the replies.
> > >> > > > > > > >>
> > >> > > > > > > >> I've updated the KIP:
> > >> > > > > > > >> https://cwiki.apache.org/confluence/display/KAFKA/KIP-
> > >> > > > > > > >> 81%3A+Bound+Fetch+memory+usage+in+the+consumer
> > >> > > > > > > >> The main point is to selectively read from sockets
> > instead
> > >> of
> > >> > > > > > > >> throttling FetchRequests sends. I also mentioned it
> will
> > be
> > >> > > > reusing
> > >> > > > > > > >> the MemoryPool implementation created in KIP-72
> instead
> > of
> > >> > > adding
> > >> > > > > > > >> another memory tracking method.
> > >> > > > > > > >>
> > >> > > > > > > >> Please have another look. As always, comments are
> > welcome !
> > >> > > > > > > >>
> > >> > > > > > > >> On Thu, Nov 10, 2016 at 2:47 AM, radai <
> > >> > > > radai.rosenbl...@gmail.com>
> > >> > > > > > > wrote:
> > >> > > > > > > >> > selectively reading from sockets achieves memory
> > control
> > >> (up
> > >> > > to
> > >> > > > > and
> > >> > > > > > > not
> > >> > > > > > > >> > including talk of (de)compression)
> > >> > > > > > > >> >
> > >> > > > > > > >> > this is exactly what i (also, even mostly) did for
> > kip-72
> > >> -
> > >> > > > which
> > >> > > > > i
> > >> > > > > > > hope
> > >> > > > > > > >> in
> > >> > > > > > > >> > itself should be a reason to think about both KIPs
> at
> > the
> > >> > same
> > >> > > > > time
> > >> > > > > > > >> because
> > >> > > > > > > >> > the changes will be similar (at least in intent) and
> > might
> > >> > > > result
> > >> > > > > in
> > >> > > > > > > >> > duplicated effort.
> > >> > > > > > > >> >
> > >> > > > > > > >> > a pool API is a way to "scale" all the way from just
> > >> > > > maintaining a
> > >> > > > > > > >> variable
> > >> > > > > > > >> > holding amount of available memory (which is what my
> > >> current
> > >> > > > > kip-72
> > >> > > > > > > code
> > >> > > > > > > >> > does and what this kip proposes IIUC) all the way up
> to
> > >> > > actually
> > >> > > > > > > re-using
> > >> > > > > > > >> > buffers without any changes to the code using the
> pool
> > -
> > >> > just
> > >> > > > drop
> > >> > > > > > in
> > >> > > > > > > a
> > >> > > > > > > >> > different pool impl.
> > >> > > > > > > >> >
> > >> > > > > > > >> > for "edge nodes" (producer/consumer) the performance
> > gain
> > >> in
> > >> > > > > > actually
> > >> > > > > > > >> > pooling large buffers may be arguable, but i suspect
> > for
> > >> > > brokers
> > >> > > > > > > >> regularly
> > >> > > > > > > >> > operating on 1MB-sized requests (which is the norm
> at
> > >> > > linkedin)
> > >> > > > > the
> > >> > > > > > > >> > resulting memory fragmentation is an actual
> bottleneck
> > (i
> > >> > have
> > >> > > > > > initial
> > >> > > > > > > >> > micro-benchmark results to back this up but have not
> > had
> > >> the
> > >> > > > time
> > >> > > > > to
> > >> > > > > > > do a
> > >> > > > > > > >> > full profiling run).
> > >> > > > > > > >> >
> > >> > > > > > > >> > so basically I'm saying we may be doing (very)
> similar
> > >> > things
> > >> > > in
> > >> > > > > > > mostly
> > >> > > > > > > >> the
> > >> > > > > > > >> > same areas of code.
> > >> > > > > > > >> >
> > >> > > > > > > >> > On Wed, Nov 2, 2016 at 11:35 AM, Mickael Maison <
> > >> > > > > > > >> mickael.mai...@gmail.com>
> > >> > > > > > > >> > wrote:
> > >> > > > > > > >> >
> > >> > > > > > > >> >> electively reading from the socket should enable to
> > >> > > > > > > >> >> control the memory usage without impacting
> > performance.
> > >> > I've
> > >> > > > had
> > >> > > > > > look
> > >> > > > > > > >> >> at that today and I can see how that would work.
> > >> > > > > > > >> >> I'll update the KIP accordingly tomorrow.
> > >> > > > > > > >> >>
> > >> > > > > > > >>
> > >> > > > > > >
> > >> > > > > >
> > >> > > > >
> > >> > > >
> > >> > >
> > >> >
> > >>
> >
>
>
>
> --
> Regards,
>
> Rajini
>
>
>
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> IBM United Kingdom Limited - Registered in England and Wales with number
> 741598.
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