[tor-dev] Metrics Plans

[Kostas Jakeliunas]

Hi!

>>> Maybe we should focus on a 'grand unified backend' rather than
> >>> splitting Kostas' summer between both a backend and frontend? If he
> >>> could replace the backends of the majority of our metrics services
> >>> then that would greatly simplify the metrics ecosystem.
> >>
> >> I'm mostly interested in the back-end, too.  But I think it won't be as
> >> much fun for Kostas if he can't also work on something that's visible to
> >> users.  I don't know what he prefers though.
> >
> > Honestly, I would actually be up for focusing, if need be, exclusively on
> > the backend part. It would also probably (hopefully) prove to be the most
> > beneficial to the overall ecosystem of tools. However, such a plan would
> > imply that the final goal (ideally) is to have a replacement for Onionoo,
> > which means that it would have to be reliably stable and scalable, so
> that
> > multiple frontends could all use it at once. (It will have to be stable
> in
> > any case, of course.) I think this would be a great goal, but if we can
> > define and isolate development stages to a great extent, I think having
> two
> > goals: (a) Onionoo replacement; (b) descriptor search+browse frontend -
> at
> > the same time is OK, and either one of them could be dropped/reduced
> during
> > the process -
>
> I think I understand, but I'm not sure.  Just to get this right, is
> either of these states the planned end state of your GSoC project?
>
> 1) descriptor database supporting efficient queries, separate API
> similar to Onionoo's, front-end application using new search parameters;
>
> 2) descriptor database supporting efficient queries, full integration
> with Onionoo API, no special front-end application using new search
> parameters; or
>
> 3) descriptor database supporting efficient queries, full integration
> with Onionoo API, front-end application using Onionoo's new search
> parameters.
>

Yes - thanks for helping to nicely articulate them by the way - in the
sense that *any* of these end states would qualify, from my perspective at
least, as a success for this project. As I said, I think it is possible to
work on things without fear of making redundant effort while also not
restricting ourselves to one particular end state of the three, until some
significantly later point in time. This is because it is possible to
firstly do the efficient database, then implement a subset of the
Onionoo-like API (with a possibility for diverging from the Onionoo
standard later if a need arises at some point later on), and finally -
optionally/hopefully - work on the client-side frontend application. I'd
still like to do the frontend if the rest can be done in a subset of the
whole timeline; I'd also perhaps like to work/tinker on it after the
official GSoC timeline; but if (in mid-summer) it turns out that making an
Onionoo replacement is possible (the new backend/database scales well for
complex queries and so on, and implementing the whole Onionoo API is
realistic/easy), I can simply focus on the backend.

> Note that there's no Onionoo client that uses bridge data, yet.  We have
> been planning to add bridge support to Atlas for a while, but this
> hasn't happened yet.

> But in general, bridge data is quite similar to relay data.  There are
> some specifics because of sanitized descriptor parts, but in general,
> data structures are similar.

Understood. Bridge data / sanitized descriptors seem similar indeed, should
fit in nicely.

I think it's an advantage here that Onionoo itself has a front-end and a
> back-end part.  The back-end processes data once per hour and writes it
> to the file system.  The front-end is a single Java servlet that does
> all the filtering and sorting in memory and reads larger JSON files from
> disk.  What we could do is: keep the back-end running, so that it keeps
> producing details, bandwidth, and weights files, and only replace the
> servlet by a Python thing that also knows how to respond to more complex
> search queries.
>

Yes, this sounds great! Basically delegating bandwidth and weights
calculation to what we have already, and focusing on queries etc. I will
have to look into the actual Onionoo backend implementation, namely, how
much of the "produce static JSON files including descriptor data" can be
reused.

In any case, I don't think that having Onionoo(-compatibility, etc.) as an
additional set of variables / potential deliverables should pose a problem.

This was a vague/generic reply, but I will eventually follow up with more
things.

Kostas.

On Wed, May 29, 2013 at 5:34 PM, Karsten Loesing <karsten at torproject.org>wrote:

> On 5/29/13 4:05 AM, Kostas Jakeliunas wrote:
> > Hello!
> > (@tor-dev: will also write a separate email, introducing the GSoC project
> > at hand.)
> >
> >> This GSoc idea started a year back as a searchable descriptor search
> >> application, totally unrelated to Onionoo.  It was when I read Kostas'
> >> proposal that I started thinking about an integration with Onionoo.
> >> That's why the plan is still a bit vague.  We should work together with
> >> Kostas very soon to clarify the plan.
> >
> > Indeed, as it currently stands, the extent of the proposed backend part
> of
> > the searchable descriptor project is unclear. The original plan was not
> to
> > aim for a universal backend which could ideally, for example, service
> > existing web-side Metrics etc. project applications. The idea was to
> > hopefully be able to replace relay and consensus search/lookup tools
> with a
> > single and more powerful "search and browse descriptor archives"
> > application.
> >
> > However I completely agree that an integrated, reusable backend sounds
> more
> > exciting and could potentially/hopefully make the broader Tor metrics-*
> &c
> > ecosystem more uniform if that's the word - reducing the tool/component
> > counts.
>
> Sounds great!  Sorry for making things more complicated by suggesting
> the Onionoo integration, but it just made sense to me when reading your
> proposal.  Just don't feel like you have to do it, so if you rather want
> to focus on your original proposal, that's fine by me.
>
> > I think this is doable if the tasks/steps of this project are
> > somewhat isolated, so that incremental development can happen, and it's
> not
> > an all-or-nothing gamble (obviously that is the way it is intended to be,
> > but I think this would be an important aspect of this project in
> particular
> > as well.)
>
> Incremental development sounds great!
>
> >>> Maybe we should focus on a 'grand unified backend' rather than
> >>> splitting Kostas' summer between both a backend and frontend? If he
> >>> could replace the backends of the majority of our metrics services
> >>> then that would greatly simplify the metrics ecosystem.
> >>
> >> I'm mostly interested in the back-end, too.  But I think it won't be as
> >> much fun for Kostas if he can't also work on something that's visible to
> >> users.  I don't know what he prefers though.
> >
> > Honestly, I would actually be up for focusing, if need be, exclusively on
> > the backend part. It would also probably (hopefully) prove to be the most
> > beneficial to the overall ecosystem of tools. However, such a plan would
> > imply that the final goal (ideally) is to have a replacement for Onionoo,
> > which means that it would have to be reliably stable and scalable, so
> that
> > multiple frontends could all use it at once. (It will have to be stable
> in
> > any case, of course.) I think this would be a great goal, but if we can
> > define and isolate development stages to a great extent, I think having
> two
> > goals: (a) Onionoo replacement; (b) descriptor search+browse frontend -
> at
> > the same time is OK, and either one of them could be dropped/reduced
> during
> > the process -
>
> I think I understand, but I'm not sure.  Just to get this right, is
> either of these states the planned end state of your GSoC project?
>
> 1) descriptor database supporting efficient queries, separate API
> similar to Onionoo's, front-end application using new search parameters;
>
> 2) descriptor database supporting efficient queries, full integration
> with Onionoo API, no special front-end application using new search
> parameters; or
>
> 3) descriptor database supporting efficient queries, full integration
> with Onionoo API, front-end application using Onionoo's new search
> parameters.
>
> > this is what I'd have in mind, generally speaking, in terms
> > of general, let's say incremental deliverables / sub-projects, which can
> be
> > done sequentially:
> >
> > 1. Work out the relay schema for (a) relay descriptors; (b)
> > consensus-statuses; (c) *bridge summaries; (d) *bridge network statuses;
> >
> > Here, I think it is realistic to try and use and import all the fields
> > available from metrics-db-*. My PoC is overly simplistic in this regard:
> > only relay descriptors, and only a limited subset of data fields is used
> in
> > the schema, for the import. I think it is realistic to import bridge data
> > used and reported by Onionoo. Here is the good, 'incremental' part I
> think:
> > the Onionoo protocol/design is useful in itself, as a clean "relay
> > processing" (what comes in and in what form it comes out) design. I think
> > it makes sense to do the DB schema having the fields used and reported by
> > Onionoo in mind. Even if the project ends up not aiming to even be
> > compatible with Onionoo (in terms of its API endpoints, or perhaps not
> > reporting everything (e.g. guard probability) - though I would like to
> aim
> > for compatibility, as would all of you, I suppose!), I think there should
> > be little to no duplication of effort when designing the schema and the
> > descriptor/data import part of the backend. The bridge data can later be
> > dropped. I will soon try looking closer if the schema can be made such
> that
> > it may later be very easily *extended* to include bridges data, but it
> > might be safer to at least have the whole schema from the beginning for
> > processing db-R, db-B and db-P, and e.g. simply not work on actual bridge
> > data import at first (depending on priorities.)
>
> Note that there's no Onionoo client that uses bridge data, yet.  We have
> been planning to add bridge support to Atlas for a while, but this
> hasn't happened yet.
>
> But in general, bridge data is quite similar to relay data.  There are
> some specifics because of sanitized descriptor parts, but in general,
> data structures are similar.
>
> > 2. Implement data import part: so again, the focus would be on importing
> > all possible fields available from, most importantly, metrics-db-R. More
> > fields in relay descriptors, and also consensus statuses. Descriptors
> (IDs)
> > in consensuses will refer to relay descriptors; must be possible to
> > efficiently query the consensus table as well to ask "in which statuses
> has
> > this descriptor been present?"
> >
> > These two parts are crucial whether the project is to aim for Onionoo
> > replacement, and/or also provide a search&browse frontend.
> >
> > 3. Implement Onionoo-compatible search queries, and (maybe only) a subset
> > of result fields. Again, I don't see why using the Onionoo
> protocol/design
> > shouldn't work here in any case. (Other Onionoo-specific nuanses, like
> > compressed responses etc shouldn't be hard at all, I think.) Make sure
> > Onionoo-compatible queries scale well for all archival data. By queries I
> > mean:
> >
> >  GET summary
> >  GET details
> >
> > bandwidht/weights can wait until further time constraints become more
> > obvious. All parameters available for filtering Onionoo results [1] make
> > sense to me: the more powerful search/query system (well, bits of it)
> > referred to in the original project proposal can be seen as a powerset,
> of
> > which the Onionoo query/filter system would be a subset. Again, this is
> > great, as I think there's nothing wrong with aiming for an
> > Onionoo-compatible query language which frontends / other applications
> > could query the new backend with anyway! So that's good.
>
> I think it's an advantage here that Onionoo itself has a front-end and a
> back-end part.  The back-end processes data once per hour and writes it
> to the file system.  The front-end is a single Java servlet that does
> all the filtering and sorting in memory and reads larger JSON files from
> disk.  What we could do is: keep the back-end running, so that it keeps
> producing details, bandwidth, and weights files, and only replace the
> servlet by a Python thing that also knows how to respond to more complex
> search queries.
>
> > 4. At this point, if we have Onionoo-compatible relay/data search
> (possibly
> > excluding bridges, and probably excluding bandwidth weights etc) for all
> > the archival data available via simple rsync (it works very well indeed
> for
> > the (small) subset of archival data available - rsync'ing the 'recent'
> > archive folder) for feeding the data to the backend, it will be great.
> From
> > here on, depending on how long all of this took and what our clarified
> > goals are, more things can happen, and it becomes less clear goal-wise
> > indeed:
> >
> > As per my original proposal, implementing a more powerful query/filter
> > system (specifying and encapsulating AND/OR - only the actual syntax
> needs
> > to be decided on; but also being able to refer to more fields - this
> > obviously requires one to be more concrete - will be able to work on
> this)
> > would be part of the plan. The query/filter syntax can be made
> > (backwards-)compatible with current Onionoo, either by cheaply adding an
> > additional optional parameter which specifies an advanced protocol
> version,
> > and then being able to change the rest of the query as is needed, or by
> > more carefully designing the syntax to truly be a superset of the current
> > Onionoo query ruleset. Not sure about this one, the good news is, all
> > previous parts can be worked on before such decisions are made. Of
> course,
> > it would be very useful to have the ideal extended query design / scope
> of
> > querying/results clear from the start, so that we don't end up
> constraining
> > ourselves with a limited schema design. Though migrating imported data
> > between schemas should be possible.
> >
> > 5. Optionally, this (vast) part would include working on a frontend
> > application which would make use of the new powerful backend
> capabilities.
> > See original proposal for details (I'll see to it so that it's reachable
> by
> > tor-dev.) My idea was to further isolate parts of the frontend for
> > incremental development, so that leveraging the more powerful search
> > capabilities in a simple frontend would be the most important aspect.
> This
> > is still very vague though, or I need to refer back to the proposal.
> >
> > Another, related thing: the PoC acts as a backend and (sorry excuse for
> a)
> > frontend all-in-one, as of now. The plan would be to completely separate
> > the two code-wise and application-wise, with backend providing an API for
> > the frontend. This is the part that is great about Onionoo: I think
> > implementing an Onionoo-compatible (or a reduced version of, if we
> > eventually go in that (latter, centering-around-frontend) direction) API
> is
> > feasible and makes sense whatever the final direction of the project is
> to
> > be. I might need to focus on providing more details about this later, but
> > I'd really like to make the two completely separate (interchangeable,
> > switchable) application-wise. Yes for modularity!
> >
> >>> * The present relay search renders raw router status entries. Does it
> >>> actually store the text of the router status entries within the
> >>> database? With the new relay search I suppose we'll be retrieving the
> >>> attributes rather than raw descriptor text, is that right?
> >>
> >> The present relay search and ExoneraTor store raw text of router status
> >> entries in their databases.  But that doesn't mean that the new relay
> >> search needs to do that, too.
> >
> >
> > The idea would be import all data as DB fields (so, indexable), but it
> > makes sense to also import raw text lines to be able to e.g. supply the
> > frontend application with raw data if needed, as the current tools do.
> But
> > I think this could be made to be a separate table, with descriptor id as
> > primary key, which means this can be done later on if need be, would not
> > cause a problem. I guess there's no need to this right now.
> >
> > I've probably glossed over the most sensitive/convoluted parts of the
> plan!
> > :) let me know where I should already be more specific at the very start
> of
> > the project.
> >
> > Does the proposed incremental development plan make sense?
>
> It does!
>
> > I will hopefully later follow up with my more immediate plans. I thought
> I
> > would have an extended schema by now - I have more code, but I still need
> > to sort it out. And I'm still not sure whether trying to import all data
> > fields available makes sense. I suspect not much significant progress
> > *code-wise* may happen until my exams are over, but I am not sure.
> > Hopefully we can focus on design though. (Also: I'm itching to import
> *all*
> > archival data even to a reduced schema and do some more nasty queries on
> > it.)
>
> Sounds good.  Please focus on exams first and ignore GSoC for the time
> being.
>
> Thanks,
> Karsten
>
>
> > Hopefully did not just make things more convoluted!
> > Regards,
> > Kostas.
> >
> >
> > [1] https://onionoo.torproject.org/
> >
> > On Mon, May 27, 2013 at 10:25 PM, Damian Johnson <atagar at torproject.org
> >wrote:
> >
> >> Hi Kostas. Now that we no longer need to worry about accidentally
> >> leaking GSoC selection we can talk more openly about your project.
> >> Below is an interchange between me and Karsten - thoughts?
> >>
> >> ---------- Forwarded message ----------
> >> From: Karsten Loesing <karsten at torproject.org>
> >> Date: Thu, May 23, 2013 at 11:37 AM
> >> Subject: Re: Metrics Plans
> >> To: Damian Johnson <atagar at torproject.org>
> >> Cc: Tor Assistants <tor-assistants at lists.torproject.org>
> >>
> >>
> >> On 5/23/13 7:22 PM, Damian Johnson wrote:
> >>> Hi Karsten. I just finished reading over Kostas' proposal and while it
> >>> looks great, I'm not sure if I fully understand the plan. Few
> >>> clarifying questions...
> >>>
> >>> * What descriptor information will his backend contain? Complete
> >>> descriptor attributes (ie, all the attributes from the documents), or
> >>> only what we need? His proof of concept importer [1] only contains a
> >>> subset but that's, of course, not necessarily where we're going.
> >>>
> >>> If we're aiming for this to be the 'grand unifying backend' for
> >>> Onionoo, Exonerator, Relay Search, etc then it seems like we might as
> >>> well aim for it to be complete. But that naturally means more work
> >>> with schema updates as descriptors change...
> >>
> >> This GSoc idea started a year back as a searchable descriptor search
> >> application, totally unrelated to Onionoo.  It was when I read Kostas'
> >> proposal that I started thinking about an integration with Onionoo.
> >> That's why the plan is still a bit vague.  We should work together with
> >> Kostas very soon to clarify the plan.
> >>
> >>> * The present relay search renders raw router status entries. Does it
> >>> actually store the text of the router status entries within the
> >>> database? With the new relay search I suppose we'll be retrieving the
> >>> attributes rather than raw descriptor text, is that right?
> >>
> >> The present relay search and ExoneraTor store raw text of router status
> >> entries in their databases.  But that doesn't mean that the new relay
> >> search needs to do that, too.
> >>
> >>> * Kostas' proposal includes both the backend importing/datastore and
> >>> also a Flask frontend for rendering the search results. In terms of
> >>> the present tools diagram [2] I suppose that would mean replacing
> >>> metrics-web-R and having a python counterpart of metrics-db-R (with
> >>> the aim of later deprecating the old metrics-db-R). Is that right?
> >>
> >> Not quite.  We cannot replace metrics-db-R yet, because that's the tool
> >> that downloads relay descriptors for all other services.  It needs to
> >> work really stable.  Replacing metrics-db-R would be a different
> >> project.  The good thing though is that metrics-db-R offers its files
> >> via rsync, so that's a very clean interface for services using its data.
> >>
> >> In terms of the tools diagram, Kostas would write a second tool in the
> >> "Process" column above Onionoo that would feed two replacement tools for
> >> metrics-web-R and metrics-web-E.  His processing tool would use data
> >> from metrics-db-R and metrics-db-E.
> >>
> >> If his tool is supposed to replace more parts of Onionoo and not only
> >> replace relay search and ExoneraTor, it would use data from metrics-db-B
> >> and metrics-db-P, too.
> >>
> >>> Maybe we should focus on a 'grand unified backend' rather than
> >>> splitting Kostas' summer between both a backend and frontend? If he
> >>> could replace the backends of the majority of our metrics services
> >>> then that would greatly simplify the metrics ecosystem.
> >>
> >> I'm mostly interested in the back-end, too.  But I think it won't be as
> >> much fun for Kostas if he can't also work on something that's visible to
> >> users.  I don't know what he prefers though.
> >>
> >> In my imagination, here's how the tools diagram looks like by the end of
> >> summer:
> >>
> >> - Kostas has written an Onionoo-like back-end that allows searches for
> >> relays or bridges in our archives since 2007 and provides details for
> >> any point in the past.  Maybe his tool will implement the existing
> >> Onionoo interface, so that Atlas and Compass can switch to using it
> >> instead of Onionoo.
> >>
> >> - We'll still keep using Onionoo for aggregating bandwidth and weights
> >> statistics per relay or bridge, but Kostas' tool would give out that
> data.
> >>
> >> - Thomas has written Visionion and replacements for metrics-web-N and
> >> metrics-web-U.  You probably saw the long discussion on this list.  This
> >> is a totally awesome project on its own, but it's sufficiently separate
> >> from Kostas' project (Kostas is only interested in single
> >> relays/bridges, whereas Thomas is only interested in aggregates).
> >>
> >> I'm aware that not all of this may happen in one summer.  That's why I'm
> >> quite flexible about plans.  There are quite a lot of missing puzzle
> >> pieces in the overall picture, people can start wherever they want and
> >> contribute something useful.
> >>
> >>> I was very, very tempted to start up a thread on tor-dev@ to discuss
> >>> this but couldn't figure out a way of doing so without letting Kostas
> >>> know that we're taking him on. If you can think of a graceful way of
> >>> including him or tor-dev@ then feel free.
> >>
> >> Let's wait four more days, if that's okay for you.  Starting a new
> >> discussion there about this together with Kostas sounds like a fine
> plan.
> >>
> >> This will be an exciting summer! :)
> >>
> >> Best,
> >> Karsten
> >>
> >>
> >>> [1] https://github.com/wfn/torsearch/blob/master/tsweb/importer.py#L16
> >>> [2] https://metrics.torproject.org/tools.html
> >>>
> >>
> >
>
>
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