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From "Sangjin Lee" <sjl...@gmail.com>
Subject Re: [AsyncHttpClient] data collection & instrumentation
Date Tue, 22 Jan 2008 21:33:25 GMT
I took a look at the patch on GERONIMO-3761, and it looks great.  Thanks.  I
have modified your patch for several things, though, and I'm nearly ready to
add it to the JIRA report.  Comments about the changes...
- I rewrote the EventQueue class to use an Executor.  Since the Executor
implementation provided by the JDK is basically a thread pool associated
with a task queue, it provides an identical functionality to what was in
EventQueue.  I think that it is good to use the constructs from
java.util.concurrent.* whenever it makes sense, and I believe this is one of
them.

- This change also enables us to remove "synchronized" from
notifyMonitoringListener().  The notify method will be called very often and
concurrently, and reducing the lock contention will be important.  Using an
Executor makes it possible to eliminate synchronization, at least at that
level.

- I associated a shared thread pool (Executor) for all dispatchers.  I think
it is desirable for dispatchers to share this thread pool rather than each
instance of dispatchers creating and maintaining its own thread.

- Renamed EventQueue to EventDispatcher.

- I also moved the monitoring listener list to EventDispatcher.  I also used
CopyOnWriteArrayList as the implementation for the list.
 CopyOnWriteArrayList is an ideal choice for this as it is thread safe and
lock-free.  Also, our use case is heavy read-access but very infrequent
write-access, which CopyOnWriteArrayList is suitable for.

- I moved the connection_failed notification to before the getSession()
call.  The getSession() call here always throws an exception (by design),
and thus notification needs to be done before calling getSession().

- I rewrote the CountingMonitor to use AtomicIntegers.  This should be
slightly safer.

- I changed the timestamp calls from System.currentTimeMillis() to
System.nanoTime()/1000000.  The nanoTime() call is more high-res, as
currentTimeMillis() may be tens of milliseconds accurate on some platforms,
and thus not suitable for these measurements.

I also have some more follow-up questions, which I'll post soon.

Thanks,
Sangjin


On Jan 17, 2008 10:51 AM, Sangjin Lee <sjlee0@gmail.com> wrote:

> I like your idea of using the event listener as the main way of doing
> this.  Basically no or multiple listeners would be invoked on a different
> thread when events occur.
> The event listener APIs would define those key methods which would contain
> all the necessary information about the events in an immutable fashion.
>
> We could provide a simple adapter that is no op so people can override
> necessary methods easily.  Also, we could provide one implementation which
> is a counting listener that does the basic metrics collection.
>
> What do you think?
>
> Thanks,
> Sangjin
>
> On Jan 17, 2008 2:58 AM, Rick McGuire < rickmcg@gmail.com> wrote:
>
> > Thunderbird is playing very strange games with me this morning, somehow
> > deleting the original post.   Anyway, here are my comments on this.
> >
> > > I'd like to propose changes to enable some basic stat collection
> > > and/or instrumentation to have visibility into performance of AHC.
> > >  For a given *AsyncHttpClient*, one might want to know metrics like
> > >
> > > - total request count
> > > - total success count
> > > - total exception count
> > > - total timeout count
> > > - connection attempt count
> > > - connection failure count
> > > - connect time average
> > > - connection close count
> > > - average response time (as measured from the invocation time to
> > > having the response ready)
> > > - and others?
> > Collection of metric information would, I think, be a good thing.
> > However, I think we should separate the consolidation of the information
> > from the collection.  That is, the client should just have different
> > types of events for data collection, and the event listener would be
> > responsible for presenting the information appropriately.
> >
> > For example, to create the list above, I'd see the following set of
> > events needed:
> >
> > - request made
> > - request completed
> > - request failed
> > - request timeout
> > - connection attempt started
> > - connection failed
> > - connection closed
> >
> > All events would be timestamped, which would allow metrics like "average
> >
> > request time" to be calculated.  This set of events would mean the
> > client would not need to maintain any metric accumulators, and if the
> > event information is done correctly, would even allow more fine grained
> > monitoring (e.g., average connection time for requests to domain
> > "foo.bar.com").
> >
> >
> > >
> > > Collecting these metrics should have little effect on the overall
> > > performance.  There would be an API to access these stats.
> > >
> > > I was initially thinking of an IoFilter to consolidate these hooks,
> > > but I realize some of these metrics are not readily available to an
> > > IoFilter (e.g. connect-related numbers).  It might be unavoidable to
> > > spread the instrumentation in a couple of places (IoHandler,
> > > ConnectFutureListener, etc.).
> > >
> > > Taking this one step further, one might think of callbacks or
> > > listeners for various key events such as connect complete, request
> > > sent, etc., so callers can provide instrumenting/logging code via
> > > event notification.  However, I think this should be used judiciously
> > > as such injected code may cause havoc.
> > I think listeners would be the way to go.  This would allow multiple
> > monitoring types to be attached to the pipe to gather data as needed.
> > Perhaps the approached used with the javamail API might be of use here.
> > The javamail Store APIs have a number of listener events that are
> > broadcast (new mail arrived, message delete, folder created, etc.).
> > Because there are similar concerns of havoc, the events get posted to a
> > queue, and are dispatched on to a separate thread.  The queue is only
> > created (and the associated thread) are only created when there are
> > listeners available to handle the events.  This allows the events to
> > very low overhead when there are no interested parties and prevents the
> > listeners from interfering with normal javamail operations by being
> > processed on a different thread.
> >
> >
> > >
> > > Thoughts?  Suggestions?
> >
>
>

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