[openstack-dev] [Heat] Convergence proof-of-concept showdown

Angus Salkeld asalkeld at mirantis.com
Thu Nov 27 04:15:59 UTC 2014


On Thu, Nov 27, 2014 at 12:20 PM, Zane Bitter <zbitter at redhat.com> wrote:

> A bunch of us have spent the last few weeks working independently on proof
> of concept designs for the convergence architecture. I think those efforts
> have now reached a sufficient level of maturity that we should start
> working together on synthesising them into a plan that everyone can forge
> ahead with. As a starting point I'm going to summarise my take on the three
> efforts; hopefully the authors of the other two will weigh in to give us
> their perspective.
>
>
> Zane's Proposal
> ===============
>
> https://github.com/zaneb/heat-convergence-prototype/tree/distributed-graph
>
> I implemented this as a simulator of the algorithm rather than using the
> Heat codebase itself in order to be able to iterate rapidly on the design,
> and indeed I have changed my mind many, many times in the process of
> implementing it. Its notable departure from a realistic simulation is that
> it runs only one operation at a time - essentially giving up the ability to
> detect race conditions in exchange for a completely deterministic test
> framework. You just have to imagine where the locks need to be.
> Incidentally, the test framework is designed so that it can easily be
> ported to the actual Heat code base as functional tests so that the same
> scenarios could be used without modification, allowing us to have
> confidence that the eventual implementation is a faithful replication of
> the simulation (which can be rapidly experimented on, adjusted and tested
> when we inevitably run into implementation issues).
>
> This is a complete implementation of Phase 1 (i.e. using existing resource
> plugins), including update-during-update, resource clean-up, replace on
> update and rollback; with tests.
>
> Some of the design goals which were successfully incorporated:
> - Minimise changes to Heat (it's essentially a distributed version of the
> existing algorithm), and in particular to the database
> - Work with the existing plugin API
> - Limit total DB access for Resource/Stack to O(n) in the number of
> resources
> - Limit overall DB access to O(m) in the number of edges
> - Limit lock contention to only those operations actually contending (i.e.
> no global locks)
> - Each worker task deals with only one resource
> - Only read resource attributes once
>
> Open questions:
> - What do we do when we encounter a resource that is in progress from a
> previous update while doing a subsequent update? Obviously we don't want to
> interrupt it, as it will likely be left in an unknown state. Making a
> replacement is one obvious answer, but in many cases there could be serious
> down-sides to that. How long should we wait before trying it? What if it's
> still in progress because the engine processing the resource already died?
>
>
Also, how do we implement resource level timeouts in general?


>
> Michał's Proposal
> =================
>
> https://github.com/inc0/heat-convergence-prototype/tree/iterative
>
> Note that a version modified by me to use the same test scenario format
> (but not the same scenarios) is here:
>
> https://github.com/zaneb/heat-convergence-prototype/tree/iterative-adapted
>
> This is based on my simulation framework after a fashion, but with
> everything implemented synchronously and a lot of handwaving about how the
> actual implementation could be distributed. The central premise is that at
> each step of the algorithm, the entire graph is examined for tasks that can
> be performed next, and those are then started. Once all are complete (it's
> synchronous, remember), the next step is run. Keen observers will be asking
> how we know when it is time to run the next step in a distributed version
> of this algorithm, where it will be run and what to do about resources that
> are in an intermediate state at that time. All of these questions remain
> unanswered.
>

Yes, I was struggling to figure out how it could manage an IN_PROGRESS
state as it's stateless. So you end up treading on the other action's toes.
Assuming we use the resource's state (IN_PROGRESS) you could get around
that. Then you kick off a converge when ever an action completes (if there
is nothing new to be
done then do nothing).


>
> A non-exhaustive list of concerns I have:
> - Replace on update is not implemented yet
> - AFAIK rollback is not implemented yet
> - The simulation doesn't actually implement the proposed architecture
> - This approach is punishingly heavy on the database - O(n^2) or worse
>

Yes, re-reading the state of all resources when ever run a new converge is
worrying, but I think Michal had some ideas to minimize this.


> - A lot of phase 2 is mixed in with phase 1 here, making it difficult to
> evaluate which changes need to be made first and whether this approach
> works with existing plugins
> - The code is not really based on how Heat works at the moment, so there
> would be either a major redesign required or lots of radical changes in
> Heat or both
>
> I think there's a fair chance that given another 3-4 weeks to work on
> this, all of these issues and others could probably be resolved. The
> question for me at this point is not so much "if" but "why".
>
> Michał believes that this approach will make Phase 2 easier to implement,
> which is a valid reason to consider it. However, I'm not aware of any
> particular issues that my approach would cause in implementing phase 2
> (note that I have barely looked into it at all though). In fact, I very
> much want Phase 2 to be entirely encapsulated by the Resource class, so
> that the plugin type (legacy vs. convergence-enabled) is transparent to the
> rest of the system. Only in this way can we be sure that we'll be able to
> maintain support for legacy plugins. So a phase 1 that mixes in aspects of
> phase 2 is actually a bad thing in my view.
>
> I really appreciate the effort that has gone into this already, but in the
> absence of specific problems with building phase 2 on top of another
> approach that are solved by this one, I'm ready to call this a distraction.
>

In it's defence, I like the simplicity of it. The concepts and code are
easy to understand - tho' part of this is doesn't implement all the stuff
on your list yet.


>
>
> Anant & Friends' Proposal
> =========================
>
> First off, I have found this very difficult to review properly since the
> code is not separate from the huge mass of Heat code and nor is the commit
> history in the form that patch submissions would take (but rather includes
> backtracking and iteration on the design). As a result, most of the
> information here has been gleaned from discussions about the code rather
> than direct review. I have repeatedly suggested that this proof of concept
> work should be done using the simulator framework instead, unfortunately so
> far to no avail.
>
> The last we heard on the mailing list about this, resource clean-up had
> not yet been implemented. That was a major concern because that is the more
> difficult half of the algorithm. Since then there have been a lot more
> commits, but it's not yet clear whether resource clean-up,
> update-during-update, replace-on-update and rollback have been implemented,
> though it is clear that at least some progress has been made on most or all
> of them. Perhaps someone can give us an update.
>

https://github.com/anantpatil/heat-convergence-poc


>
> AIUI this code also mixes phase 2 with phase 1, which is a concern. For me
> the highest priority for phase 1 is to be sure that it works with existing
> plugins. Not only because we need to continue to support them, but because
> converting all of our existing 'integration-y' unit tests to functional
> tests that operate in a distributed system is virtually impossible in the
> time frame we have available. So the existing test code needs to stick
> around, and the existing stack create/update/delete mechanisms need to
> remain in place until such time as we have equivalent functional test
> coverage to begin eliminating existing unit tests. (We'll also, of course,
> need to have unit tests for the individual elements of the new distributed
> workflow, functional tests to confirm that the distributed workflow works
> in principle as a whole - the scenarios from the simulator can help with
> _part_ of this - and, not least, an algorithm that is as similar as
> possible to the current one so that our existing tests remain at least
> somewhat representative and don't require too many major changes
> themselves.)
>
> Speaking of tests, I gathered that this branch included tests, but I don't
> know to what extent there are automated end-to-end functional tests of the
> algorithm?
>
> From what I can gather, the approach seems broadly similar to the one I
> eventually settled on also. The major difference appears to be in how we
> merge two or more streams of execution (i.e. when one resource depends on
> two or more others). In my approach, the dependencies are stored in the
> resources and each joining of streams creates a database row to track it,
> which is easily locked with contention on the lock extending only to those
> resources which are direct dependencies of the one waiting. In this
> approach, both the dependencies and the progress through the graph are
> stored in a database table, necessitating (a) reading of the entire table
> (as it relates to the current stack) on every resource operation, and (b)
> locking of the entire table (which is hard) when marking a resource
> operation complete.
>
> I chatted to Anant about this today and he mentioned that they had solved
> the locking problem by dispatching updates to a queue that is read by a
> single engine per stack.
>
> My approach also has the neat side-effects of pushing the data required to
> resolve get_resource and get_att (without having to reload the resources
> again and query them) as well as to update dependencies (e.g. because of a
> replacement or deletion) along with the flow of triggers. I don't know if
> anything similar is at work here.
>
> It's entirely possible that the best design might combine elements of both
> approaches.
>
> The same open questions I detailed under my proposal also apply to this
> one, if I understand correctly.
>
>
> I'm certain that I won't have represented everyone's work fairly here, so
> I encourage folks to dive in and correct any errors about theirs and ask
> any questions you might have about mine. (In case you have been living
> under a rock, note that I'll be out of the office for the rest of the week
> due to Thanksgiving so don't expect immediate replies.)
>
> I also think this would be a great time for the wider Heat community to
> dive in and start asking questions and suggesting ideas. We need to, ahem,
> converge on a shared understanding of the design so we can all get to work
> delivering it for Kilo.
>

Agree, we need to get moving on this.

-Angus


>
> cheers,
> Zane.
>
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