Sounds good, I've updated the proposal with details on places in which
changes
are required given the new approach:
https://docs.google.com/document/d/1LY8Im8UyIBn8e3LJ2jB-MoajXkfAqW2eKzY735aYxqo/edit#


On Fri, Aug 7, 2020 at 2:09 PM Brian Brazil <
[email protected]> wrote:

> On Fri, 7 Aug 2020 at 15:48, Rob Skillington <[email protected]> wrote:
>
>> True - I mean this could also be a blacklist by config perhaps, so if you
>> really don't want to have increased egress you can optionally turn off
>> sending
>> the TYPE, HELP, UNIT or send them at different frequencies via config. We
>> could
>> package some sensible defaults so folks don't need to update their config.
>>
>> The main intention is to enable these added features and make it possible
>> for
>> various consumers to be able to adjust some of these parameters if
>> required
>> since backends can be so different in their implementation. For M3 I
>> would be
>> totally fine with the extra egress that should be mitigated fairly
>> considerably
>> by Snappy and the fact that HELP is common across certain metric families
>> and
>> receiving it every single Remote Write request.
>>
>
> That's really a micro-optimisation. If you are that worried about
> bandwidth you'd run a sidecar specific to your remote backend that was
> stateful and far more efficient overall. Sending the full label names and
> values on every request is going to be far more than the overhead of
> metadata on top of that, so I don't see a need as it stands for any of this
> to be configurable.
>
> Brian
>
>
>>
>> On Fri, Aug 7, 2020 at 3:56 AM Brian Brazil <
>> [email protected]> wrote:
>>
>>> On Thu, 6 Aug 2020 at 22:58, Rob Skillington <[email protected]>
>>> wrote:
>>>
>>>> Hey Björn,
>>>>
>>>>
>>>> Thanks for the detailed response. I've had a few back and forths on
>>>> this with
>>>> Brian and Chris over IRC and CNCF Slack now too.
>>>>
>>>> I agree that fundamentally it seems naive to idealistically model this
>>>> around
>>>> per metric name. It needs to be per series given what may happen w.r.t.
>>>> collision across targets, etc.
>>>>
>>>> Perhaps we can separate these discussions apart into two considerations:
>>>>
>>>> 1) Modeling of the data such that it is kept around for transmission
>>>> (primarily
>>>> we're focused on WAL here).
>>>>
>>>> 2) Transmission (and of which you allude to has many areas for
>>>> improvement).
>>>>
>>>> For (1) - it seems like this needs to be done per time series,
>>>> thankfully we
>>>> actually already have modeled this to be stored per series data just
>>>> once in a
>>>> single WAL file. I will write up my proposal here, but it will surmount
>>>> to
>>>> essentially encoding the HELP, UNIT and TYPE to the WAL per series
>>>> similar to
>>>> how labels for a series are encoded once per series in the WAL. Since
>>>> this
>>>> optimization is in place, there's already a huge dampening effect on
>>>> how
>>>> expensive it is to write out data about a series (e.g. labels). We can
>>>> always
>>>> go and collect a sample WAL file and measure how much extra size
>>>> with/without
>>>> HELP, UNIT and TYPE this would add, but it seems like it won't
>>>> fundamentally
>>>> change the order of magnitude in terms of "information about a
>>>> timeseries
>>>> storage size" vs "datapoints about a timeseries storage size". One
>>>> extra change
>>>> would be re-encoding the series into the WAL if the HELP changed for
>>>> that
>>>> series, just so that when HELP does change it can be up to date from
>>>> the view
>>>> of whoever is reading the WAL (i.e. the Remote Write loop). Since this
>>>> entry
>>>> needs to be loaded into memory for Remote Write today anyway, with
>>>> string
>>>> interning as suggested by Chris, it won't change the memory profile
>>>> algorithmically of a Prometheus with Remote Write enabled. There will
>>>> be some
>>>> overhead that at most would likely be similar to the label data, but we
>>>> aren't
>>>> altering data structures (so won't change big-O magnitude of memory
>>>> being used),
>>>> we're adding fields to existing data structures that exist and string
>>>> interning
>>>> should actually make it much less onerous since there is a large
>>>> duplicative
>>>> effect with HELP among time series.
>>>>
>>>> For (2) - now we have basically TYPE, HELP and UNIT all available for
>>>> transmission if we wanted to send it with every single datapoint. While
>>>> I think
>>>> we should definitely examine HPACK like compression features as you
>>>> mentioned
>>>> Björn, I think we should think more about separating that kind of work
>>>> into a
>>>> Milestone 2 where this is considered.
>>>>
>>>
>>>
>>>
>>>> For the time being it's very plausible
>>>> we could do some negotiation of the receiving Remote Write endpoint by
>>>> sending
>>>> a "GET" to the remote write endpoint and seeing if it responds with a
>>>> "capabilities + preferences" response, and if the endpoint specifies
>>>> that it
>>>> would like to receive metadata all the time on every single request and
>>>> let
>>>> Snappy take care of keeping size not ballooning too much, or if it
>>>> would like
>>>> TYPE on every single datapoint, and HELP and UNIT every DESIRED_SECONDS
>>>> or so.
>>>> To enable a "send HELP every 10 minutes" feature we would have to add
>>>> to the
>>>> datastructure that holds the LABELS, TYPE, HELP and UNIT for each
>>>> series a
>>>> "last sent" timestamp to know when to resend to that backend, but that
>>>> seems
>>>> entirely plausible and would not use more than 4 extra bytes.
>>>>
>>>
>>> Negotiation is fundamentally stateful, as the process that receives the
>>> first request may be a very different one from the one that receives the
>>> second - such as if an upgrade is in progress. Remote write is intended to
>>> be a very simple thing that's easy to implement on the receiver end and is
>>> a send-only request-based protocol, so request-time negotiation is
>>> basically out. Any negotiation needs to happen via the config file, and
>>> even then it'd be better if nothing ever needed to be configured. Getting
>>> all the users of a remote write to change their config file or restart all
>>> their Prometheus servers is not an easy task after all.
>>>
>>> Brian
>>>
>>>
>>>>
>>>> These thoughts are based on the discussion I've had and the thoughts on
>>>> this
>>>> thread. What's the feedback on this before I go ahead and re-iterate
>>>> the design
>>>> to more closely map to what I'm suggesting here?
>>>>
>>>> Best,
>>>> Rob
>>>>
>>>> On Thu, Aug 6, 2020 at 2:01 PM Bjoern Rabenstein <[email protected]>
>>>> wrote:
>>>>
>>>>> On 03.08.20 03:04, Rob Skillington wrote:
>>>>> > Ok - I have a proposal which could be broken up into two pieces,
>>>>> first
>>>>> > delivering TYPE per datapoint, the second consistently and reliably
>>>>> HELP and
>>>>> > UNIT once per unique metric name:
>>>>> >
>>>>> https://docs.google.com/document/d/1LY8Im8UyIBn8e3LJ2jB-MoajXkfAqW2eKzY735aYxqo
>>>>> > /edit#heading=h.bik9uwphqy3g
>>>>>
>>>>> Thanks for the doc. I have commented on it, but while doing so, I felt
>>>>> the urge to comment more generally, which would not fit well into the
>>>>> margin of a Google doc. My thoughts are also a bit out of scope of
>>>>> Rob's design doc and more about the general topic of remote write and
>>>>> the equally general topic of metadata (about which we have an ongoing
>>>>> discussion among the Prometheus developers).
>>>>>
>>>>> Disclaimer: I don't know the remote-write protocol very well. My hope
>>>>> here is that my somewhat distant perspective is of some value as it
>>>>> allows to take a step back. However, I might just miss crucial details
>>>>> that completely invalidate my thoughts. We'll see...
>>>>>
>>>>> I do care a lot about metadata, though. (And ironically, the reason
>>>>> why I declared remote write "somebody else's problem" is that I've
>>>>> always disliked how it fundamentally ignores metadata.)
>>>>>
>>>>> Rob's document embraces the fact that metadata can change over time,
>>>>> but it assumes that at any given time, there is only one set of
>>>>> metadata per unique metric name. It takes into account that there can
>>>>> be drift, but it considers them an irregularity that will only happen
>>>>> occasionally and iron out over time.
>>>>>
>>>>> In practice, however, metadata can be legitimately and deliberately
>>>>> different for different time series of the same name. Instrumentation
>>>>> libraries and even the exposition format inherently require one set of
>>>>> metadata per metric name, but this is all only enforced (and meant to
>>>>> be enforced) _per target_. Once the samples are ingested (or even sent
>>>>> onwards via remote write), they have no notion of what target they
>>>>> came from. Furthermore, samples created by rule evaluation don't have
>>>>> an originating target in the first place. (Which raises the question
>>>>> of metadata for recording rules, which is another can of worms I'd
>>>>> like to open eventually...)
>>>>>
>>>>> (There is also the technical difficulty that the WAL has no notion of
>>>>> bundling or referencing all the series with the same metric name. That
>>>>> was commented about in the doc but is not my focus here.)
>>>>>
>>>>> Rob's doc sees TYPE as special because it is so cheap to just add to
>>>>> every data point. That's correct, but it's giving me an itch: Should
>>>>> we really create different ways of handling metadata, depending on its
>>>>> expected size?
>>>>>
>>>>> Compare this with labels. There is no upper limit to their number or
>>>>> size. Still, we have no plan of treating "large" labels differently
>>>>> from "short" labels.
>>>>>
>>>>> On top of that, we have by now gained the insight that metadata is
>>>>> changing over time and essentially has to be tracked per series.
>>>>>
>>>>> Or in other words: From a pure storage perspective, metadata behaves
>>>>> exactly the same as labels! (There are certainly huge differences
>>>>> semantically, but those only manifest themselves on the query level,
>>>>> i.e. how you treat it in PromQL etc.)
>>>>>
>>>>> (This is not exactly a new insight. This is more or less what I said
>>>>> during the 2016 dev summit, when we first discussed remote write. But
>>>>> I don't want to dwell on "told you so" moments... :o)
>>>>>
>>>>> There is a good reason why we don't just add metadata as "pseudo
>>>>> labels": As discussed a lot in the various design docs including Rob's
>>>>> one, it would blow up the data size significantly because HELP strings
>>>>> tend to be relatively long.
>>>>>
>>>>> And that's the point where I would like to take a step back: We are
>>>>> discussing to essentially treat something that is structurally the
>>>>> same thing in three different ways: Way 1 for labels as we know
>>>>> them. Way 2 for "small" metadata. Way 3 for "big" metadata.
>>>>>
>>>>> However, while labels tend to be shorter than HELP strings, there is
>>>>> the occasional use case with long or many labels. (Infamously, at
>>>>> SoundCloud, a binary accidentally put a whole HTML page into a
>>>>> label. That wasn't a use case, it was a bug, but the Prometheus server
>>>>> ingesting that was just chugging along as if nothing special had
>>>>> happened. It looked weird in the expression browser, though...) I'm
>>>>> sure any vendor offering Prometheus remote storage as a service will
>>>>> have a customer or two that use excessively long label names. If we
>>>>> have to deal with that, why not bite the bullet and treat metadata in
>>>>> the same way as labels in general? Or to phrase it in another way: Any
>>>>> solution for "big" metadata could be used for labels, too, to
>>>>> alleviate the pain with excessively long label names.
>>>>>
>>>>> Or most succintly: A robust and really good solution for
>>>>> "big" metadata in remote write will make remote write much more
>>>>> efficient if applied to labels, too.
>>>>>
>>>>> Imagine an NALSD tech interview question that boils down to "design
>>>>> Prometheus remote write". I bet that most of the better candidates
>>>>> will recognize that most of the payload will consist of series
>>>>> indentifiers (call them labels or whatever) and they will suggest to
>>>>> first transmit some kind of index and from then on only transmit short
>>>>> series IDs. The best candidates will then find out about all the
>>>>> problems with that: How to keep the protocol stateless, how to re-sync
>>>>> the index, how to update it if new series arrive etc. Those are
>>>>> certainly all good reasons why remote write as we know it does not
>>>>> transfer an index of series IDs.
>>>>>
>>>>> However, my point here is that we are now discussing exactly those
>>>>> problems when we talk about metadata transmission. Let's solve those
>>>>> problems and apply them to remote write in general!
>>>>>
>>>>> Some thoughts about that:
>>>>>
>>>>> Current remote write essentially transfers all labels for _every_
>>>>> sample. This works reasonably well. Even if metadata blows up the data
>>>>> size by 5x or 10x, transfering the whole index of metadata and labels
>>>>> should remain feasible as long as we do it less frequently than once
>>>>> every 10 samples. It's something that could be done each time a
>>>>> remote-write receiver connects. From then on, we "only" have to track
>>>>> when new series (or series with new metadata) show up and transfer
>>>>> those. (I know it's not trivial, but we are already discussing
>>>>> possible solutions in the various design docs.) Whenever a
>>>>> remote-write receiver gets out of sync for some reason, it can simply
>>>>> cut the connection and start with a complete re-sync again. As long as
>>>>> that doesn't happen more often than once every 10 samples, we still
>>>>> have a net gain. Combining this with sharding is another challenge,
>>>>> but it doesn't appear unsolveable.
>>>>>
>>>>> --
>>>>> Björn Rabenstein
>>>>> [PGP-ID] 0x851C3DA17D748D03
>>>>> [email] [email protected]
>>>>>
>>>> --
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>>>> <https://groups.google.com/d/msgid/prometheus-developers/CABakzZaQGfVK5OAfKRP2nxBnp168GML5r_ok_f%3DyVeUdC6e2EQ%40mail.gmail.com?utm_medium=email&utm_source=footer>
>>>> .
>>>>
>>>
>>>
>>> --
>>> Brian Brazil
>>> www.robustperception.io
>>>
>>
>
> --
> Brian Brazil
> www.robustperception.io
>

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