[erlang-questions] Question about message passing paradigm
Tim Watson
watson.timothy@REDACTED
Tue Jul 1 09:06:43 CEST 2008
Hi Edwin,
I'm quite fresh around here too and I agree, someone definitely needs
to write up some common patterns for the paradigm. I also suggested a
locking solution using selective receive, but being a little tired, I
managed to post it with the wrong subject line. Twice. <sigh>
Still, it wasn't really a solution, but a discussion about the
applicability of selective receive - I can't see another way of doing
this. My concern with the approach is that there is no way for a
process to "safely lock itself" unless it can trap exists from the
process trying to "acquire the lock," as it were. If A starts
communicating with B and asks B to stay in a particular state until it
[A] is ready, then A had better broadcast it's death if anything goes
wrong so that B can "unlock itself," for want of a better description.
The more processes are involved, the more interesting that gets. My
original solution was to lock each container process against a
specific value (key) and continue to serve reads while blocking
writes. My solution doesn't however, deal with process failures very
well! Here's a quick stab:
loop(State, LockList) ->
%% ... some interesting code...
receive
{ SenderPid, acquire, ItemId } ->
case get_item(ItemId, LockList) of
{ acquired, Response } -> SenderPid ! { { acquired, ok
}, Response }
; _ -> SenderPid ! error
end,
loop(State, [ ItemId | LockList ])
; { SenderPid, read, ItemId } ->
SenderPid ! { { read, ok }, get_item_readonly(ItemId) },
loop(State, LockList)
; { SenderPid, write, { ItemId, Value } } ->
{ acquired, Response } = get_item(ItemId, LockList),
Write = write_item(ItemId, Value),
SenderPid ! { { write, ok }, Write }
end.
Obviously I've imagined some code in get_item that checks the lock
list before a successful acquire, etc. This solution is non blocking
for reads, but in the event that you try and get a write (i.e,
acquire) a locked item, the process dies with a pattern matching
failure (based on the assumption that get_item will return an 'error'
atom or something like that, on failure). This is hardly a solution,
but I wanted to look at the selective receive bit. What happens if the
process who "acquired" item X dies and doesn't notify you!? X sort of
"goes missing,", which is hardly ideal. In your example, where the
individual processes actually block until released, a fatal error in
the lock owner will deadlock the system.
You could always check the sender pid against your linked nodes and
link to it if it's not already in there. Personally, I don't like this
approach though - it all feels like a kludge. I like the idea of
changing from a pull to a push design (mentioned earlier), as this
whole locking multiple processes feels horrible. Think about a typical
(Joe forgive me) OO implementation in java or some such. The number 1
rule is don't call into some other object while holding a lock, as
you've no idea what might happen and you might end up deadlocked. This
question raises the same questions for me - do I really want these
distributed locks cropping up all over the place? If data consistency
is really that important, then maybe we should find a better way to
accumulate the data we need to perform a given operation.
As another contrived example, I can't imagine that if in the process
of say, selling broadband, you need to fist check the network
inventory, then provision an engineer and finally set up a billing
record against a customer account, that you'd want to deal with the
locking protocol in this way. Say the network inventory and engineer
availability rosters are in different parts of the system, which you
need to call via some RPC (say they're not actual Erlang nodes, but
some java application that you hit over HTTP), or maybe just in a
database or whatever. I would've thought that the safest way to do
this with pessimistic locking is surely to lock the whole provisioning
activity (e.g., upon receiving the initial call) - this might entail
exposing the provisioning process as a gen_server and performing the
locking there (this might even happen implicitly, if you use the
synchronous 'call' function instead of the async 'cast') or something
like that. This is going to have a bad effect on your liveliness,
naturally, but that's life. A course grained lock is safer, but less
lively. A lock that doesn't deal with error conditions sounds bad
though.
Hopefully someone with a bit more experience will chime in here and
point out the obvious to us new folk!? ......
Cheers,
Tim Watson
> ------------------------------
>
> Message: 7
> Date: Mon, 30 Jun 2008 23:42:51 -0400
> From: "Edwin Fine" <erlang-questions_efine@REDACTED>
> Subject: Re: [erlang-questions] Question about message passing
> paradigm
> To: "Richard A. O'Keefe" <ok@REDACTED>
> Cc: Mike T <talmage.news@REDACTED>, erlang-questions@REDACTED
> Message-ID:
> <6c2563b20806302042q2605badie220bd1acb7d72b3@REDACTED>
> Content-Type: text/plain; charset="utf-8"
>
> Richard,
>
> I'm new to Erlang and FP, and I want to learn from my mistakes or
> misunderstandings. Please could you critique the suggestion I sent in
> regarding this problem? The fact that nobody commented means either that it
> was (a) totally naive and not worthy of comment (or to spare my feelings),
> or (b) such a good idea that all were rendered speechless with admiration.
> Somehow the probability of (b) seems rather low. So... where did I go wrong?
>
> Regards,
> Edwin FIne
>
> On Mon, Jun 30, 2008 at 11:33 PM, Richard A. O'Keefe <ok@REDACTED>
> wrote:
>
>> The problem we are discussing is
>> processes B, C, D hold information X, Y, Z respectively;
>> process A wants a coherent snapshot of X, Y,Z.
>>
>> There are actually two slightly different cases depending on
>> A needs "X Y Z as of *now*" (A, B, C, and D must all
>> synchronise), or A needs "X Y Z as of *some* time in the
>> recent past" (B, C, and D must all synchronise but can then
>> send the information to A without waiting for A to receive it).
>>
>> I like this problem because it is simple yet subtle.
>> One way that it is subtle is that in "multithread" programming
>> most people STILL think in terms of a single absolute time
>> shared by all threads. (After all, there _is_ such a thing,
>> the system clock. And yes, it's not exactly true, but it's
>> close enough to make people _think_ it's true.) But when you
>> start thinking about Erlang and especially *distributed*
>> Erlang, you start realising that "now" is a pretty fuzzy
>> concept.
>>
>> To me, the easiest approach to *think* was
>>
>> A sends "tell me X" to B, "tell me Y" to C,
>> and "tell me Z" to D in any order,
>> then does three receives in any order to
>> collect the results, then
>> sends "thanks" to B, C, and D in any order.
>>
>> B receives "tell me X" from A, computes X,
>> sends "here is X" to A, then waits for
>> "thanks" from A.
>>
>> C and D are just like B.
>>
>> This has 9 messages compared, but it is symmetric, and it is
>> actually pretty close to the locking technique (to "lock" a
>> process, send it a message asking it to wait, receive its
>> acceptance, and then send it a message telling it to proceed).
>> This extends to any number of processes E, F, G, ... and none
>> of the processes except A has to know about any of the others.
>>
>> On 30 Jun 2008, at 6:45 pm, Erik Reitsma proposed a scheme
>> that doesn't actually need any functions to be sent around
>> (which is nice if you are doing distribution):
>>
>> A sends "I need X Y and Z, ask C and D for Y and Z"
>> to B then waits.
>> B sends "A needs Y and Z, ask D for Z, here is X"
>> to C. B then waits for the go-ahead.
>> C sends "A needs Z, here are X and Y" to D,
>> then waits.
>> D sends "here are X Y and Z" to A.
>> If a four-way synchronisation is wanted, D waits.
>> If a three-way is wanted, it doesn't.
>> A receives X, Y, and Z. It sends "go ahead" to B
>> and C (and to D if four-way is wanted).
>>
>> This is 7 messages if the "NOW" reading with four-way
>> synchronisation is wanted, or 6 if the "some time in the
>> recent past" reading with three-way synchronisation is
>> wanted. Since B, C, and D have to be told that their
>> information is needed and A has to receive the results,
>> four messages are needed.
>>
>> Can it be done in fewer than 7 (or 6) messages?
>> Are there other readings of the requirements that I've missed?
>> How do/should we think about these problems?
>>
>> Pace Dijkstra, I'm afraid that I came up with the schemes
>> above in a very anthropomorphic CRC-card-ish way:
>> who knows what?
>> who needs to know what?
>> can the message count be reduced if I ask
>> someone to do something for me?
>> plus a sort of intuitive idea that
>> to get N processes to synchronise, get all
>> but 1 of them waiting for something
>>
>> There has to be a tutorial, perhaps even a textbook, waiting
>> to be written about "how to think about messages".
>>
>>
>>
>>
>
>
> --
> The great enemy of the truth is very often not the lie -- deliberate,
> contrived and dishonest, but the myth, persistent, persuasive, and
> unrealistic. Belief in myths allows the comfort of opinion without the
> discomfort of thought.
> John F. Kennedy 35th president of US 1961-1963 (1917 - 1963)
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