[erlang-questions] How to do this in Erlang -- any suggestions ?

Edmond Begumisa ebegumisa@REDACTED
Sun Jun 12 19:54:59 CEST 2011

My interpretation of your question is that you want to do one-off message  
tracing. I think most of what you need is already in Erlang/OTP...

1. You want to trace particular massages passed in your system over a  
period Y, you are particularly interested in 'EXIT' messages, but not  

You could use the trace BIFs/dbg tool for this. Start an appropriate  
tracer with dbg:tracer, specify which processes you want to trace with  
dbg:p with one of the m|s|r flags to log the events, watch your system for  
a while, turn the tracer off (keep in mind the negative impact such  
tracing might have on a live system.) Analyse the trace output. You could  
also use your own tracer handler fun to filter/process the messages.

2. You want to trace massages over a number of nodes:

Though I haven't used it, I believe this is what the Inviso OTP tool is  
for. You could also have a look at the ttb OTP tool.

3. You want to trace "cascading" messages in your system:

Have a look at erlang:seq_trace. I believe dbg and ttb both have support  
for sequential tracing (I don't think Inviso does.)

4. You want a convenient way of walking through traces:

The OTP et_viewer is a really nice tool I use a lot. Though the OTP Event  
Tracer can output ordinary trace data produced by dbg, where it really  
gets fun is when you feed it trace data by calling et:trace_me in your  
code (I normally wrap this in a ?TRACE macro). I like to think of it as a  
replacement for using io:format to print debug messages. The "detail"  
argument is really nice for "zooming" in/out as you page through trace  
data. You might find that useful for analysing a large number of messages.

In short, I'm not sure you need any special "architectural design  
patterns". Just design your system as you normally would, using processes  
to model what you observe in the world, then trace it when it misbehaves  
or when you want to observe it. The traces *are* your sliding windows...  
unless I've completely mis-understood your question!

- Edmond -

On Mon, 13 Jun 2011 01:38:20 +1000, Banibrata Dutta  
<banibrata.dutta@REDACTED> wrote:

> gr8 questions, and they certainly need clarification.
> cc'ing the group s.t. others could contribute too.
> On Sun, Jun 12, 2011 at 8:48 PM, Mihai Balea <mihai@REDACTED> wrote:
>> On Jun 12, 2011, at 10:51 AM, Banibrata Dutta wrote:
>> Prematurely sent.
>> On Sun, Jun 12, 2011 at 7:59 PM, Banibrata Dutta <
>> banibrata.dutta@REDACTED> wrote:
>>> What would be a good way to correlate asynchronous events, spot  
>>> patterns
>>> over a sliding window (s.a. of no. of events elapsed or time elapsed),  
>>> with
>>> millions of events occurring simultaneously, using Erlang ?
>>> The set of possible events is known, and any unknown event is just  
>>> flagged
>>> as 'unknown' (so all unknowns are similar). The set of possible event
>>> patterns can be enumerated, but is possibly quite a large set of  
>>> patterns.
>> Was wondering as to what could be the approach taken to implement such a
>> thing in pure Erlang. My initial thoughts were along the line of  
>> maintaining
>> FSMs per event source, but with so many events and so many  
>> possible/valid
>> patterns, the thing seems kind of unwieldy. Also, I'd like a  
>> non-programmer
>> to be able to define new events and valid event patterns.
>> I believe 'Complex Event Processing' is quite likely to be the standard
>> approach for such things, as I've found from some posts, and solutions  
>> exist
>> in Java world for same, but both as an academic exercise (for the fun of
>> learning) and for a potentially simpler + better solution, would like  
>> to try
>> doing this is Erlang.
>> I think you need to define your problem better.
> Sure, let me try.
>> What exactly do you mean by "millions of events occurring  
>> simultaneously"?
> Okay, so I can say something like 500 events/second handled for  
> correlation
> would be a more realistic number.
>> At exactly the same time?
> Yes... some of the events might be from same source, but spaced by as  
> little
> as 50ms, but mostly from different sources. There could be some  
> heirarchical
> relationship between sources. Very typical case of network management
> scenario. E.g. a fault port on a switch, could probably cause hundreds of
> destination unreachable events, application response timeouts, heartbeat
> losses etc..
>> Millions of events per second? Minute? Is that peak rate, average rate  
>> or
>> minimum rate?
> Okay, I got over-enthusiastic :-) . Say 100 events/second typical, 500
> events/second peak, no real minimum.
> What exactly is a pattern?
> Node-A failed, Power in room-X where Node-A is kept failed, Nodes B,C,D
> which are served thru Node-A became unreachable, due to which Services L  
> & M
> became unavailable, and due to which another dependent service N started
> giving inconsistent answers. So this is a pattern. However in this case,
> there's a possibility that Power-failure had nothing to do with Noda-A's
> failure, as backup power was available.
> Another pattern is, Power in room X failed, then Noda A failed, leading  
> to
> failure of only Node D, because somehow Nodes B & C were dynamically
> configured to reroute. This is another pattern.
> What do you mean by "quite a large set of patterns"? Hundreds, thousands,
>> millions?
> Several hundreds is a distinct possibility, and thousands are not
> impossible, but millions -- probably not.
>> How long is that sliding window?
> From few minutes (for certain type of events), to few days (for another  
> type
> of events).
>> Can patterns encompass events coming from multiple sources or just one
>> source?
> Yes, indeed. However in this case, there needs to a "relationship"  
> between
> the event sources, that is pre-defined. E.g. some sense of "topology"
> exists. However it is likely that only 2% of the event sources are
> interrelated.
>> Are patterns concerned only with event ordering and occurrence or there  
>> are
>> timing issues involved as well?
> Ordering, Timing, or any kind of causal relationship.

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