1
0
mirror of https://github.com/moparisthebest/curl synced 2024-11-16 14:35:03 -05:00
curl/lib/README.multi_socket
2006-04-21 13:40:07 +00:00

113 lines
6.3 KiB
Plaintext

Implementation of the curl_multi_socket API
Most of the design decisions and debates about this new API have already
been held on the curl-library mailing list a long time ago so I had a basic
idea on what approach to use. The main ideas of the new API are simply:
1 - The application can use whatever event system it likes as it gets info
from libcurl about what file descriptors libcurl waits for what action
on. (The previous API returns fd_sets which is very select()-centric).
2 - When the application discovers action on a single socket, it calls
libcurl and informs that there was action on this particular socket and
libcurl can then act on that socket/transfer only and not care about
any other transfers. (The previous API always had to scan through all
the existing transfers.)
The idea is that curl_multi_socket() calls a given callback with information
about what socket to wait for what action on, and the callback only gets
called if the status of that socket has changed.
In the API draft from before, we have a timeout argument on a per socket
basis and we also allowed curl_multi_socket() to pass in an 'easy handle'
instead of socket to allow libcurl to shortcut a lookup and work on the
affected easy handle right away. Both these turned out to be bad ideas.
The timeout argument was removed from the socket callback since after much
thinking I came to the conclusion that we really don't want to handle
timeouts on a per socket basis. We need it on a per transfer (easy handle)
basis and thus we can't provide it in the callbacks in a nice way. Instead,
we have to offer a curl_multi_timeout() that returns the largest amount of
time we should wait before we call the "timeout action" of libcurl, to
trigger the proper internal timeout action on the affected transfer. To get
this to work, I added a struct to each easy handle in which we store an
"expire time" (if any). The structs are then "splay sorted" so that we can
add and remove times from the linked list and yet somewhat swiftly figure
out 1 - how long time there is until the next timer expires and 2 - which
timer (handle) should we take care of now. Of course, the upside of all this
is that we get a curl_multi_timeout() that should also work with old-style
applications that use curl_multi_perform().
The easy handle argument was removed fom the curl_multi_socket() function
because having it there would require the application to do a socket to easy
handle conversion on its own. I find it very unlikely that applications
would want to do that and since libcurl would need such a lookup on its own
anyway since we didn't want to force applications to do that translation
code (it would be optional), it seemed like an unnecessary option.
Instead I created an internal "socket to easy handles" hash table that given
a socket (file descriptor) return the easy handle that waits for action on
that socket. This hash is made using the already existing hash code
(previously only used for the DNS cache).
To make libcurl be able to report plain sockets in the socket callback, I
had to re-organize the internals of the curl_multi_fdset() etc so that the
conversion from sockets to fd_sets for that function is only done in the
last step before the data is returned. I also had to extend c-ares to get a
function that can return plain sockets, as that library too returned only
fd_sets and that is no longer good enough. The changes done to c-ares have
been committed and are available in the c-ares CVS repository destined to be
included in the upcoming c-ares 1.3.1 release.
The 'shiper' tool is the test application I wrote that uses the new
curl_multi_socket() in its current state. It seems to be working and it uses
the API as it is documented and supposed to work. It is still using
select(), because I needed that during development (like until I had the
socket hash implemented etc) and because I haven't yet learned how to use
libevent or similar.
The hiper/shiper tools are very simple and initiates lots of connections and
have them running for the test period and then kills them all.
Since I wasn't done with the implementation until early January I haven't
had time to run very many measurements and checks, but I have done a few
runs with up to a few hundred connections (with a single active one). The
curl_multi_socket() invoke then takes 3-6 microseconds in average (using the
read-only-1-byte-at-a-time hack). If this number does increase a lot when we
add connections, it certainly matches my in my opinion very ambitious goal.
We are now below the 60 microseconds "per socket action" goal. It is
destined to be somewhat higher the more connections we have since the hash
table gets more populated and the splay tree will grow etc.
Some tests at 7000 and 9000 connections showed that the socket hash lookup
is somewhat of a bottle neck. Its current implementation may be a bit too
limiting. It simply has a fixed-size array, and on each entry in the array
it has a linked list with entries. So the hash only checks which list to
scan through. The code I had used so for used a list with merely 7 slots (as
that is what the DNS hash uses) but with 7000 connections that would make an
average of 1000 nodes in each list to run through. I upped that to 97 slots
(I believe a prime is suitable) and noticed a significant speed increase. I
need to reconsider the hash implementation or use a rather large default
value like this. At 9000 connections I was still below 10us per call.
Status Right Now
The curl_multi_socket() API is implemented according to how it is
documented.
http://curl.haxx.se/libcurl/c/curl_multi_socket.html
http://curl.haxx.se/libcurl/c/curl_multi_timeout.html
http://curl.haxx.se/libcurl/c/curl_multi_setopt.html
What is Left for the curl_multi_socket API
1 - More measuring with more extreme number of connections
2 - More testing with actual URLs and complete from start to end transfers.
I'm quite sure we don't set expire times all over in the code properly, so
there is bound to be some timeout bugs left.
What it really takes is for me to commit the code and to make an official
release with it so that we get people "out there" to help out testing it.