Hello all.
Thanks a lot for the responses, they are appreciated.
I think I now understand the folly of my loop, and how that was negatively impacting my "test".
I tried the suggestion Alex and Tom made to change my loop with a select() and my results are now very close to the non-async version.
The main reason for looking at this API is not to support async in our applications, that is being achieved architecturally in a PG agnostic way. It is to give our PG agnostic layer the ability to cancel queries. (Admittedly the queries I mention in these emails are not candidates for cancelling...).
Again, thanks so much for the help.
Michael.
On Wed, Oct 27, 2010 at 6:10 PM, Tom Lane
<tgl@sss.pgh.pa.us> wrote:
Michael Clark <
codingninja@gmail.com> writes:
> In doing some experiments I found that using
> PQsendQueryParams/PQconsumeInput/PQisBusy/PQgetResult produces slower
> results than simply calling PQexecParams.
whether data is available) so I don't know why this surprises you.
The value of those functions is if your application can do something
else useful while it's waiting. If the data comes back so fast that
you can't afford any extra cycles expended on the client side, then
you don't have any use for those functions.
However, if you do have something useful to do, the problem with
this example code is that it's not doing that, it's just spinning:
> while ( ((consume_result = PQconsumeInput(self.db)) == 1) &&
> ((is_busy_result = PQisBusy(self.db)) == 1) )
> ;
That's a busy-wait loop, so it's no wonder you're eating cycles there.
You want to sleep, or more likely do something else productive, when
there is no data available from the underlying socket. Usually the
idea is to include libpq's socket in the set of files being watched
by select() or poll(), and dispatch off to something that absorbs
the data whenever you see some data is available to read.
regards, tom lane
