mfclarke

mfclarke

GenStage ProducerConsumerSupervisor?

We have ConsumerSupervisor which starts 1 child per event. Is it possible to use this as a :producer_consumer ?

[A] → [B(1, 2, 3, 4, 5, …)] → [C]

Effectively what I’m after is being able to get B to subscribe to A and C to subscribe to B. Then manage concurrency of B just with :max_demand. As opposed to starting an arbitrary number of regular :producer_consumer stages for B and manually handling subscriptions of C to each B.

The example of using a ConsumerSupervisor in the gen_stage repo returns a Supervisor style term in it’s init/1 but the docs show a regular GenStage style return value where you specify :producer, :producer_consumer or :consumer: ConsumerSupervisor — gen_stage v1.3.2

So I’m thinking this might be possible but I’m not understanding how to set it up.

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peerreynders

peerreynders

In a sense ConsumerSupervisor + Producer “is a Consumer Producer” where :min_demand/max_demand provides the back pressure regulation for the Producer in front of it and the (B) Producer is regulated by the Consumer behind it. So you could fashion something this way:

A(Producer) -> (Bc(ConsumerSupervisor) ~cast/call~> Bp(Producer)) -> C(Consumer)

  • Bc Consumer portion of B
  • Bp Producer portion of B

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peerreynders

peerreynders

Based on my GenStage experiments and reading the ConsumerSupervisor documentation here are my thoughts:

  • ConsumerSupervisor is a Supervisor process which creates a child process for each event that it receives. In general Supervisors are designed to be as simple as possible so that they can focus on one thing: “supervising child processes” (while not taking on any additional responsibility which may cause them to crash) - this one just happens to dynamically create children for any events received. By this nature the ConsumerSupervisor can only really be a Consumer in a GenStage scenario as a supervisor typically doesn’t collect and manage results from its children.

  • Your particular [A] -> [B(1, 2, 3, 4, 5, ...)] -> [C] scenario could be realized with C as a Producer (if there is a (producer-) consumer D). Essentially the children of the ConsumerSupervisor would simply deliver their result to C via GenStage.cast/2 or GenStage.call/3 - i.e. flow to C would be entirely governed by the :min_demand, :max_demand settings on B, the ConsumerProducer.

  • The documentation of init is strange to say the least. There is a ConsumerSupervisor.init/1 callback that is analogous to Supervisor.init/1 - so I would expect ConsumerSupervisor.init/1 function to be analogous to Supervisor.init/2. The text of the ConsumerSupervisor.init/2 function seems very similar to the text of the Genstage.init/2 callback - so I suspect a copy/paste error. The ConsumerSupervisor.init/1 function code simply prepares a tuple containing the supervisor flags and child specifications.

peerreynders

peerreynders

I’m by no means a GenStage expert - I have just happened to play around with it for a few days 4 months ago - and looking at the documentation right now I still find it a bit hard to digest.

For example it’s only when I started to write the code that I noticed that any of the callbacks that can return a tuple that includes [events] can release events to the next stage - skimming through the examples in the documentation you could easily be left with the impression that handle_demand/2 is the place where events are released - when in fact it is only one place where events are released.

If you have events during the handle_demand/2 callback then by all means release what you have that doesn’t exceed the demand. But as a producer any unfulfilled demand has to be “stored” - because the consumer is only going to issue another “demand” if it wants more than it already asked for.

So whenever a producer “acquires events” it can release them immediately provided it has “stored demand”.

So there are situations where handle_demand/2 will simply return an empty event list (because there are simply none available at the time) - and the events are only released later when the producer somehow gets ahold of them - and then they are released as a result of the callback that “delivers” the events to the producer.

Now a consumer is a GenStage that is at very end of the pipeline and is ultimately considered to be the “constraining operation” - that is why it gets to set the demand that propagates up all the way to the producer at the beginning of the pipeline (who has to honour that constraint). So ConsumerSupervisor is inherently designed to be at the end of that pipeline.

My guess is that it doesn’t need to be a producer because conceptually as it is the “constraining operation” back pressure isn’t an issue with any processing stages that follow - they can simply be implemented as GenServers because they can deal with any volume that the ConsumerSupervisor is capable of throwing at them.

Which brings me to the pertinent point - why would you think that you need ConsumerSupervisor feeding another ConsumerSupervisor? It’s a necessary question to ensure that we aren’t running into the XY problem - i.e. there may be a solution to your actual problem that has nothing to do with ConsumerSupervisors.

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peerreynders

peerreynders

###Rubber Ducking
A very simple but particularly useful technique for finding the cause of a problem is simply to explain it to someone else. The other person should look over your shoulder at the screen, and nod his or her head constantly (like a rubber duck bobbing up and down in a bathtub). They do not need to say a word; the simple act of explaining, step by step, what the code is supposed to do often causes the problem to leap off the screen and announce itself.‡

It sounds simple, but in explaining the problem to another person you must explicitly state things that you may take for granted when going through the code yourself. By having to verbalize some of these assumptions, you may suddenly gain new insight into the problem.

‡. Why “rubber ducking”? While an undergraduate at Imperial College in London, Dave did a lot of work with a research assistant named Greg Pugh, one of the best developers Dave has known. For several months Greg carried around a small yellow rubber duck, which he’d place on his terminal while coding. It was a while before Dave had the courage to ask…

p. 95 - The Pragmatic Programmer

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