Category Archives: cURL and libcurl

curl and/or libcurl related

I go Mozilla

Mozilla dinosaur head logo

In January 2014, I start working for Mozilla

I’ve worked in open source projects for some 20 years and I’ve maintained curl and libcurl for over 15 years. I’m an internet protocol geek at heart and Mozilla seems like a perfect place for me to continue to explore this interest of mine and combine it with real open source in its purest form.

I plan to use my experiences from all my years of protocol fiddling and making stuff work on different platforms against random server implementations into the networking team at Mozilla and work on improving Firefox and more.

I’m putting my current embedded Linux focus to the side and I plunge into a worldwide known company with worldwide known brands to do open source within the internet protocols I enjoy so much. I’ll be working out of my home, just outside Stockholm Sweden. Mozilla has no office in my country and I have no immediate plans of moving anywhere (with a family, kids and all established here).

I intend to bring my mindset on protocols and how to do things well into the Mozilla networking stack and world and I hope and expect that I will get inspiration and input from Mozilla and take that back and further improve curl over time. My agreement with Mozilla also gives me a perfect opportunity to increase my commitment to curl and curl development. I want to maintain and possibly increase my involvement in IETF and the httpbis work with http2 and related stuff. With one foot in Firefox and one in curl going forward, I think I may have a somewhat unique position and attitude toward especially HTTP.

I’ve not yet met another Swedish Mozillian but I know I’m not the only one located in Sweden. I guess I now have a reason to look them up and say hello when suitable.

Björn and Linus will continue to drive and run Haxx with me taking a step back into the shadows (Haxx-wise). I’ll still be part of the collective Haxx just as I was for many years before I started working full-time for Haxx in 2009. My email address, my sites etc will remain on haxx.se.

I’m looking forward to 2014!

source code survival rate

The curl project has its roots in the late 1996, but we haven’t kept track of all of the early code history. We imported our code to Sourceforge late 1999 and that’s how far back we can see in our current git repository. The exact date is “Wed Dec 29 14:20:26 UTC 1999”. So, almost 14 years of development.

Warning: this blog post contains more useless info and graphs than many mortals can handle. Be aware!

How much old code remain in the current source tree? Or perhaps put differently: how is the refresh rate of the code? We fix bugs, we change things, we add features. Surely we’ll slowly over time rewrite the old code and replace it with new more shiny and better working code? I decided to check this. Here’s what I found!

The tools

We have all code in git. ‘git blame’ is the primary tool I used as it lists all lines of all source code and tells us when it was added. I did some additional perl scripting around it.

The code

I decided to check all code in the src/ and lib/ directories in the curl and libcurl source tree. The source code is used to create both the curl tool and the libcurl library and back in 1999 there was no libcurl like today so we do get a slightly better coverage of history this way.

In total this sums up to some 112000 lines in the current .c and .h files.

To count the total amount of commits done to those specific files through history I ran:

git log --oneline src/*.[ch] lib/*.[ch] | wc -l

6047 commits in total. (if I don’t specify the files and count all commits in the repo it ends up at 16954)

git stats

We run gitstats on the curl repo every day so you can go there for some more and current stats. Right now it tells us that average number of commits is 4.7 per active day (that means days when actually something was committed), or 3.4 per all days over the entire time. There was git activity 3576 days in total. By 224 authors.

Surviving commits

How much of the code would you think still remains that were present already that December day 1999?

How much of the code in the current code base would you think was written the last few years?

Commit vs Author vs Date

I wanted to see how much old code that exists, or perhaps how the age of the code is represented in the current code base. I decided to therefore base my logic on the author time that git tracks. It is basically the time when the author of a change commits it to his/her local tree as then the change can be applied later on by a committer that can be someone else, but the author time remains the same. Sometimes a committer commits multiple patches at once, possibly at a much later time etc so I figured the author time would be a better time stamp. I also decided to track the date instead of just the commit hash so that I can sort the changes properly and also make interesting graphs that are based on that time. I use the time with a second precision so changes done a second apart will be recorded as two separate changes while two commits done with the same author time stamp will be counted as the same time.

I had my script run ‘git blame –line-porcelain’ for all files and had my script sum up all changes done on the same time.

Some totals

The code base contains changes written at 4147 different times. Converted to UTC times, they happened on 2076 unique days. On 167 unique months. That’s every month since the beginning.

We’re talking about 312 files.

Number of lines changed over time

A graph with changes over time. The Y axis is number of lines that were changed on that particular time. (click for higher res)

Lines changed over time

Ok you object, that doesn’t look very appealing. So here’s the same data but with all the changes accumulated over time.

accumulated

Do you think the same as I do? Isn’t it strangely linear? It seems that the number of added lines that remain in the code today is virtually the same over time! But fair enough, the changes in the X axis are not distributed according to the time/date they represent so we shouldn’t be fooled by the time, but certainly we can see that changes in general only bring in a certain amount of surviving modified lines.

Another way to count the changes is then to check all the ~4000 change times of the present code, and see how many days between them there are:

delta

Ah, now finally we’re seeing something. Older code that is still present clearly was made with longer periods in between the changes that have lasted. It makes perfect sense to me, since the many years of development probably have later overwritten a lot of code that was written in between.

Also, it is clearly that among the more recent changes that have survived they were often done on the same day or just a few days away from another lasting change.

Grouped on date ranges

The number of modified lines split up on the individual year the change came in.

year

Interesting! The general trend is clear and not surprising. Two years stand out from the trend, 2004 and 2011. I have not yet investigated what particular larger changes that were made those years that have survived. The bump for 1999 is simply the original import and most of those lines are preprocessor lines like #ifdef and #include or just opening and closing braces { and }.

Splitting up the number of surviving lines on the specific year+month they were added:

month

This helps us analyze the previous chart. As we can see, the rather tall bars from 2004 and 2011 are actually several months wide and explains the bumps in the year-chart. Clearly we made some larger effort on those periods that were good enough to still remain in the code.

Correlate to added or removed lines?

So, can we perhaps see if some years’ more activity in number of added or removed source lines can be tracked back to explain the number of surviving source code lines? I ran “git diff [hash1]..[hash2] –stat — lib/*.[ch] src/*.[ch]” for all years to get a summary of number of added and removed source code lines that year. I added those number to the table with surviving lines and then I made another graph:

year-again

Funnily enough, we see almost an exact correlation there for the first eight years and then the pattern breaks. From the year 2009 the number of removed lines went down but still the amount of surving lines went up quite a bit and then the graphs jump around a bit.

My interpretation of this graph is this boring: the amount of surviving code in absolute numbers is clearly correlating to the amount of added code. And that we removed more code yearly in the 2000-2003 period than what has survived.

But notice how the blue line is closing the gap to the orange/red one over time, which means that percentage wise there’s more surviving code in more recent code! How much?

Here’s the amount of surviving lines/added lines and a second graph looking at surviving lines/(added + removed) to see if the mere source code activity would be a more suitable factor to compare against…

relation survival vs added and removed lines

Code committed within the last 5 years are basically 75% left but then it goes downhill down to the 18% survival rate of the 1999 code import.

If you can think of other good info to dig out, let me know!

1999,1699
2000,1115
2001,3061
2002,2432
2003,2578
2004,7644
2005,4016
2006,5101
2007,7665
2008,7292
2009,9460
2010,11762
2011,19642
2012,11842
2013,16844

he forked off libgnurl

Everyone and anyone is of course entitled to fork a project that is released under an open source license. This goes for my projects as well and I don’t mind it. Go ahead.

I think it may be a bit shortsighted and a stupid decision, but open source allows this and it sometimes actually leads to goodness.

libgnurl

Enter libgnurl. A libcurl fork created by Christian Grothoff.

For most applications, the more obscure protocols supported by cURL are close to dead code — mostly harmless, but not useful

<sarcasm>Of course a libcurl newcomer such Christian knows exactly what “most applications” want and need and thus what’s useful to them….</sarcasm>

cURL supports a bunch of crypto backends. In practice, only the OpenSSL, NSS (RedHat) and GnuTLS (Debian) variants seem to see widespread deployment

Originally he mentioned only OpenSSL and GnuTLS there until someone pointed out the massive amount of NSS users and then the page got updated. Quite telling I think. Lots of windows users these days use the schannel backend, Mac OS X users use the darwinssl backend and so on. Again statements based on his view and opinions and most probably without any closer checks done or even attempted.

As a side-node we could discuss what importance (perceived) “widespread deployment” has when selecting what to support or not, but let’s save that for another blog post a rainy day.

there exist examples of code that deadlocks on IPC if cURL is linked against OpenSSL while it works fine with GnuTLS

I can’t argue against something I don’t know about. I’m not aware of any bug reports on something like this. libcurl is not fully SSL layer agnostic, the SSL library choice “leaks” through to applications so yes an application can very well be written to be “forced” to use a libcurl built against a particular backend. That doesn’t seem what he’s complaining about here though.

Thus, application developers have to pray that the cURL version deployed by the distribution is compatible with their needs

Application developers that use a library – any library – surely always hope that it is compatible with their needs!?

it is also rather difficult to replace cURL for normal users if cURL is compiled in the wrong way

Is it really? As most autotools based projects, you just run configure –prefix=blablalba and install a separate build in a customer directory and then use that for your special-need projects. I suppose he means something else. I don’t know what.

For GNUnet, we need a modern version of GnuTLS. How modern? Well, while I write this, it hasn’t been released yet (update: the release has now happened, the GnuTLS guys are fast). So what happens if one tries to link cURL against this version of GnuTLS?

To verify his claims that building against the most recent gnutls is tricky, I tried:

  1. download 3.2.5 tarball
  2. unpack it
  3. configure –prefix=$HOME/build-gnutls-3.2.5
  4. make
  5. make install
  6. cd [curl source tree]
  7. configure –without-ssl –with-gnutls=$HOME/build-gnutls-3.2.5 [and some more options if wanted]
  8. make
  9. invoke “./src/curl -V” to verify that the build is using the latest. Yes it does. Case closed.

How does forking fix it? Easy. First, we can get rid of all of the compatibility issues

That’s of course hard to argue with. If you introduce a brand new library it won’t have any compatibility issues since nobody used it before. Kind of shortsighted solution though, since as soon as someone starts to use it then compatibility becomes something to pay attention to.

Also, since Christian is talking about doing some changes to accomplish this new grand state, I suspect he will do this by breaking compatibility with libcurl in some aspects and then gnurl won’t be libcurl compatible so it will no longer be that easy to switch between them as desired.

Note that this pretty much CANNOT be done without a fork, as renaming is an essential part of the fix.

Is renaming the produced library really that hard to do without forking the project? If I want to produce a renamed output from an open source project out there, I apply a script or hack the makefile of that project and I keep that script or diff in my end. No fork needed. I think I must’ve misunderstood some subtle angle of this…

Now, there might be creative solutions to achieve the same thing within the standard cURL build system, but I’m not happy to wait for a decade for Daniel to review the patches.

Why would he need to send me such patches in the first place? Why would I have to review the patches? Why would we merge them?

That final paragraph is probably the most telling of his entire page. I think he did this entire fork because he is unhappy with the lack of speed in the reviewing and responses to his patches he sent to the libcurl mailing list. He’s publicly complained and whined about it several times. A very hostile attitude to actually get the help or review you want.

I want to note that the main motivations for this fork are technical

Yes sure, they are technical but also based on misunderstandings and just lack of will.

But I like to stress again that I don’t mind the fork. I just mind the misinformation and the statements made as if they were true and facts and represents what we stand for in the actual curl project.

I believe in collaboration. I try to review patches and provide feedback as soon as I can. I wish Christian every success with gnurl.

Testing curl_multi_socket_action

We’re introducing a brand new way to test the event-based socket_action API in libcurl! (available in curl since commit 6cf8413e3162)

Background

Since 2006 we’ve had three major API families in libcurl for doing file transfers:

  1. the easy interface – a synchronous and yes, easy, interface for getting things done
  2. the multi interface – a non-blocking interface that allows multiple simultaneous transfers (in both directions) in the same thread
  3. the socket_action interface – a brother of the multi interface but designed for  use with an event-based library/engine for high performance and large scale transfers

The curl command line tool uses the easy interface and our test suite for curl + libcurl consists of perhaps 80% curl tests, while the rest are libcurl-using programs testing both the easy interface and the multi interface.

Early this year we modified libcurl’s internals so that the functions driving the easy interface transfer would use the multi interface internally. Then all of a sudden all the curl-using tests using the easy interface also then by definition tested that the operation worked fine with the multi interface. Needless to say, this pushed several bugs up to the surface that we could fix.

So the multi and the easy interfaces are tested by many hundred test cases on a large number of various systems every day around the clock. Nice! But what about the third interface? The socket_action interface isn’t tested at all! Time to change this sorry state.

Event-based test challenges

The event-based API has its own set of challenges; like it needs to react on socket state changes (only) and allow smooth interactions with the user’s own choice of event library etc. This is our newest API family and also the least commonly used. One reason for this may very well be that event-based coding is generally harder to do than more traditional poll-based code. Event-based code forces the application into using state-machines all over to a much higher degree and the frequent use of callbacks easily makes the code hard to read and its logic hard to follow.

So, curl_multi_socket_action() acts in ways that aren’t done or even necessary when the regular select-oriented multi interface is used. Code that then needs to be tested to remain working!

Introducing an alternative curl_easy_perform

As I mentioned before, we made the general multi interface widely tested by making sure the easy interface code uses the multi interface under the hood. We can’t easily do the same operation again, but instead this time we introduce a separate implementation (for debug-enabled builds) called curl_easy_perform_ev that instead uses the event-based API internally to drive the transfer.

The curl_multi_socket_action() is meant to use an event library to work really well multi-platform, or something like epoll directly if Linux-only functionality is fine for you. curl and libcurl is quite likely among the most portable code you can find so after having fought with this agony a while (how to introduce event-based testing without narrowing the tested platforms too much) I settled on a simple but yet brilliant solution (I can call it brilliant since I didn’t come up with the idea on my own):

We write an internal “simulated” event-based library with functionality provided by the libcurl internal function Curl_poll() (the link unfortunately goes to a line number, you may need to move around in the file to find the function). It is in itself a wrapper function that can work with either poll() or select() and should therefor work on just about any operating system written since the 90s, and most of the ones since before that as well! Doing such an emulation code may not be the most clever action if the aim would be to write a high performance and low latency application, but since my objective now is to exercise the API and make an curl_easy_perform clone it was perfect!

It should be carefully noted that curl_easy_perform_ev is only for testing and will only exist in debug-enabled builds and is therefor not considered stable nor a part of the public API!

Running event-based tests

The fake event library works with the curl_multi_socket_action() family of functions and when curl is invoked with –test-event, it will call curl_easy_perform_ev instead of curl_easy_perform and the transfer should then work exactly as without –test-event.

The main test suite running script called ‘runtests.pl’ now features the option -e that will run all ~800 curl tests with –test-event. It will skip tests it can’t run event-based – basically all the tests that don’t use the curl tool.

Many sockets is slow if not done with events

This picture on the right shows some very old performance measurements done on libcurl in the year 2005, but the time spent growing exponentially when the amount of sockets grow is exactly why you want to use something event-based instead of something poll or select based.

See also my document discussing poll, select and event-based.

dotdot removal in libcurl 7.32.0

Allow as much as possible and only sanitize what’s absolutely necessary.

That has basically been the rule for the URL parser in curl and libcurl since the project was started in the 90s. The upside with this is that you can use curl to torture your web servers with tests and you can handicraft really imaginary stuff to send and thus subsequently to receive. It kind of assumes that the user truly gives curl a URL the user wants to use.

Why would you give curl a broken URL?

But of course life and internet protocols, and perhaps in particular HTTP, is more involved than that. It soon becomes more complicated.

Redirects

Everyone who’s writing a web user-agent based on RFC 2616 soon faces the fact that redirects based on the Location: header is a source of fun and head-scratching. It is defined in the spec as only allowing “absolute URLs” but the reality is that they were also provided as relative ones by web servers already from the start so the browsers of course support that (and the pending HTTPbis document is already making this clear). curl thus also adopted support for relative URLs, meaning the ability to “merge” or “add” a relative URL onto a previously used absolute one had to be implemented. And even illegally constructed URLs are done this way and in the grand tradition of web browsers, they have not tried to stop users from doing bad things, they have instead adapted and now instead try to convert it to what the user could’ve meant. Like for example using a white space within the URL you send in a Location: header. Even curl has to sanitize that so that it works more like the browsers.

Relative path segments

The path part of URLs are truly to be seen as a path, in that it is a hierarchical scheme where each slash-separated part adds a piece. Like “/first/second/third.html”

As it turns out, you can also include modifiers in the path that have special meanings. Like the “..” (two dots or periods next to each other) known from shells and command lines to mean “one directory level up” can also be used in the path part of a URL like “/one/three/../two/three.html” which equals “/one/two/three.html” when the dotdot sequence is handled. This dot removal procedure is documented in the generic URL specification RFC 3986 (published January 2005) and is completely protocol agnostic. It works like this for HTTP, FTP and every other protocol you provide a path part for.

In its traditional spirit of just accepting and passing along, curl didn’t use to treat “dotdots” in any particular way but handed it over to the server to deal with. There probably aren’t that terribly many such occurrences either so it never really caused any problems or made any users hit any particular walls (or they were too shy to report it); until one day back in February this year… so we finally had to do something about this. Some 8 years after the spec saying it must be done was released.

dotdot removal

Alas, libcurl 7.32.0 now features (once it gets released around August 12th) full traversal and handling of such sequences in the path part of URLs. It also includes single dot sequences like in “/one/./two”. libcurl will detect such uses and convert the path to a sequence without them and continue on. This of course will cause a limited altered behavior for the possible small portion of users out there in the world who would use dotdot sequences and actually want them to get sent as-is the way libcurl has been doing it. I decided against adding an option for disabling this behavior, but of course if someone would experience terrible pain and can reported about it convincingly to us we could possible reconsider that decision in the future.

I suspect (and hope) this will just be another little change along the way that will make libcurl act more standard and more like the browsers and thus cause less problems to users but without people much having to care about how or why.

Further reading: the dotdot.c file from the libcurl source tree!

Bonus kit

A dot to dot surprise drawing for you and your kids (click for higher resolution)

curl dot-to-dot

tailmatching them cookies

A brand new libcurl security advisory was announced on April 12th, which details how libcurl can leak cookies to domains with tailmatch. Let me explain the details.

(Did I mention that security is hard?)

cookiecurl first implemented cookie support way back in the early days in the late 90s. I participated in the IETF work that much later documented how cookies work in real life. I know how cookies work, and yet this flaw still existed in the curl cookie implementation for over 13 years. Until someone spotted it. And once again that sense of gaaaah, how come we never saw this before!! came over me.

A quick cookie 101

When cookies are used over HTTP, it is (if we simplify things a little) only a name = value pair that is set to be valid a certain domain and a path. But the path is only specifying the prefix, and the domain only specifies the tail part. This means that a site can set a cookie that is for the entire site that is under the path /members so that it will be sent by the brower even for /members/names/ as well as for /members/profile/me etc. The cookie will then not be sent to the same domain for pages under a different path, such as /logout or similar.

A domain for a cookie can set to be valid for example.org and then it will be sent by the browser also for www.example.org and www.sub.example.org but not at all for example.com or badexample.org.

Unless of course you have a bug in the cookie tailmatching function. The bug libcurl had until 7.30.0 was released made it send cookies for the domain example.org also to sites that would have the same tail but a different prefix. Like badexample.org.

Let me try a story on you

It might not be obvious at first glance how terrible this can become to users. Let me take you through an imaginary story, backed up by some facts:

Imagine that there’s a known web site out there on the internet that provides an email service to users. Users login on a form and they read email. Or perhaps it is a social site. Preferably for our story, the site is using HTTP only but this trick can be done for most HTTPS sites as well with only a mildly bigger effort.

This known and popular site runs its services on ‘site.com’. When you’re logged in to site.com, your session is a cookie that keeps getting sent to the server and the server sometimes updates the contents and sends it back to the browser. This is the way millions of sites work.

As an evil person, you now register a domain and setup an attack server. You register a domain that has the same ending as the legitimate site. You call your domain ‘fun-cat-and-food-pics-from-site.com’ (FCAFPFS among friends).

anattackMr evil person also knows that there are several web browsers, typically special purpose ones for different kinds of devices, that use libcurl as its base. (But it doesn’t have to be a browser, it could be other tools as well but for this story a browser fits fine.) Lets say you know a person or two who use one of those browsers on site.com.

You send a phishing email to these persons. Or post a funny picture on the social site. The idea is to have them click your link to follow through to your funny FCAFPFS site. A little social engineering, who on the internet can truly resist funny cats?

The visitor’s browser (which uses a vulnerable libcurl) does the wrong “tailmatch” on the domain for the session cookie and gladly hands it off to the attacker site. The attacker site could then use that cookie to access site.com and hijack the user’s session. Quite likely the attacker would immediately change password or something and logout/login so that the innocent user who’s off looking at cats will get a “you are logged-out” message when he/she returns to site.com…

The attacker could then use “password reminder” features on other sites to get emails sent to site.com to allow him to continue attacking the user’s other accounts on other services. Or if site.com was a social site, the attacker would post more cat links and harvest more accounts etc…

End of story.

Any process improvements?

For every security vulnerability a project gets, it should be a reason for scrutinizing what went wrong. I don’t mean in the actual code necessarily, but more what processes we lack that made the bug sneak in and remain in there for so long without being detected.

What didn’t we do that made this bug survive this long?

Obviously we didn’t review the code properly. But this is a tricky beast that was added a very long time ago, back in the days when the project was young and not that many developers were involved. Before we even had a test suite. I do believe that we have slightly better reviews these days, but I will also claim that it is far from sure that we would detect this flaw by a sheer code review.

Test cases! We clearly lacked the necessary test case setup that tested the limitations of how cookies are supposed to work and get sent back and forth. We’ve added a few new ones now that detect this particular flaw fine, but I think we have reasons to continue to search for various kinds of negative tests we should do. Involving cookies of course, but also generally in other areas of the curl project.

Of course, we’re all just working voluntarily here on spare time so we can’t expect miracles.

(an attack, picture by Andy Gardner)

Monitoring my voip line

Ping Communication Voice Catcher 201EMy “landline” phone in my house is connected over voip through my fiber and I’m using the service provided by Affinity Telecom. A company I never heard of before and I can only presume it is a fairly small one.

Everything is working out fine, apart from one annoying little glitch: every other month or so my phone reports itself as either busy to a caller (or just as if nobody picks up the phone) and the pingcom NetPhone Adapter 201E voip box I have needs to be restarted for the phone line to get back to normal (I haven’t figured out if the box or the service provider is the actual villain).

In my household we usually discover the problem after several days of this situation since we don’t get many calls and we don’t make many calls. (The situation is usually even notable on the voip box’s set of led lights as they are flashing when they are otherwise solid but the box is not put in a place where we notice that either.) Several days of the phone beeping busy to callers is a bit annoying and I’ve decided to try to remedy that somehow. Luckily the box has a web interface that allows me to admin it and check status etc, and after all, I know a tool I can use to script HTTP to the thing, extract the status and send me a message when it needs some love!

Okay, so I just need to “login” to the box and get the status page and extract the info for the phone line and I’m done. I’ve done this dozens if not hundreds of times on sites all over the net the last decade. I merrily transferred the device info page “http://pingcom/Status/Device_Info.shtml” with curl and gave it a glance…

Oh. My. God. This is a little excerpt from the javascript magic that handles the password I enter to login to the web interface:

    /*
     * Get the salt from the router
     */
    (code gets salt from a local URL)

    var salt = xml_doc.textdoc;
    /*
     * Append the password to the salt
     */
     var input = salt + password;
    /*
     * MD5 hash of the salt.
     */
    var hash = hex_md5(input);
    /*
     * Append the MD5 hash to the salt.
    */
    var login_hash = salt.concat(hash);
    /*
     * Send the login hash to the server.
     */
    login_request = new ajax_xmlhttp("/post_login.xml?user=" + escape(username) + "&hash=" +
         escape(login_hash), function(xml_doc)

    [cut]

Ugha! So it downloads a salt, does hashing, salting and md5ing on the data within the browser itself before it sends it off to the server. That’s is so annoying and sure I can probably replicate that logic in a script language of my choice but it is going to take some trial and error until the details are all sorted out.

Ok, so I do the web form login with my browser again and start to look at what requests it does and so on in order to be able to mimic them with curl instead. I then spot that when viewing that device info page, it makes a whole series of HTTP requests that aren’t for pictures and not for the main HTML… Hm, at a closer look it fetches data from a bunch of URLs ending with “.cgi”! And look, among those URLs there’s one in particular that is called “voip_line_state.cgi”. Let me try to get just that and see what that might offer and what funny auth dance I may need for it…

curl http://pingcom/voip_line_state.cgi

And what do you know? It returns a full XML of the voip status, entirely without any login or authentication required:

<LineStatus channel_count="2">
  <Channel index="0" enabled="1">
    <SIP state="Up">
      <Name>0123456789</Name>
      <Server>sip.example.org</Server>
    </SIP>
    <Call state="Idle"></Call>
  </Channel>
  <Channel index="1" enabled="0"></Channel>
</LineStatus>

Lovely! That ‘Idle’ string in there in the <Call> tag is the key. I now poll the status and check to see the state in order to mail myself when it looks wrong. Still needs to be proven to actually trigger during the problem but hey, why wouldn’t it work?

The final tip is probably the lovely tool xml2, which converts an XML input to a “flat” output. That output is perfect to use grep or sed on to properly catch the correct situation, and it keeps me from resorting to the error-prone concept of grepping or regexing actual XML. After xml2 the above XML looks like this:

/LineStatus/@channel_count=2
/LineStatus/Channel/@index=0
/LineStatus/Channel/@enabled=1
/LineStatus/Channel/SIP/@state=Up
/LineStatus/Channel/SIP/Name=012345679
/LineStatus/Channel/SIP/Server=sip.example.org
/LineStatus/Channel/Call/@state=Idle
/LineStatus/Channel
/LineStatus/Channel/@index=1
/LineStatus/Channel/@enabled=0

Now I’ll just have to wait until the problem hits again to see that my scripts actually work… Once proven to detect the situation, my next step will probably be to actually maneuver the web interface and reboot it. I’ll get back to that later..

Better pipelining in libcurl 7.30.0

Back in October 2006, we added support for HTTP pipelining to libcurl. The implementation was naive and simple: it basically preferred to pipeline everything on the single connection to a given host if it could. It works only with the multi interface and if you do a second request to the same host it will try to pipeline that.

pipelines

Over the years the feature was bugfixed and improved slightly, which proved that at least a couple of applications actually used it – but it was never any particularly big hit among libcurl’s vast amount of features.

Related background information that gives details on some of the problems with pipelining in the wild can be found in Mark Nottingham’s Making HTTP Pipelining Usable on the Open Web internet-draft, Mozilla’s bug report “HTTP pipelining by default” and Chrome’s pipelining docs.

Now, more than six years later, Linus Nielsen Feltzing (a colleague and friend at Haxx) strikes back with a much improved and almost completely revamped HTTP pipelining support (merged into master just hours before the new-feature window closed for the pending 7.30.0 release). This time, the implementation features and provides:

  • a configurable number of connections and pipelines to each unique host name
  • a round-robin approach that favors starting new connections first, and then pipeline on existing connections once the maximum number of connections to the host is reached
  • a max-depth value that when filled makes the code not add any more requests on that connection/pipeline
  • a pipe penalization system that avoids adding new requests to pipes that are known to be receiving very large contents and thus possibly would stall subsequent requests for an extended period of time
  • a server blacklist that allows the application to specify a list of servers for which HTTP pipelining should not be attempted – real world tests has proven that some servers are too broken to be allowed to play the game

The code also adds a feature that helps out applications to do massive amount of requests in a controlled manner:

A hard maximum amount of connections, that when reached makes libcurl queue up easy handles internally until they can create a new connection or re-use a previously used one. That allows an application to for example set the limit to 50 and then add 400 handles to the multi handle but it will still only use 50 connections as a maximum so over time when requests get completed it will start new transfers on the requests that are waiting in line and thus shrinking the queue and keeping the maximum amount of connections until there’s less than 50 left to do…

Previously that kind of queuing had to be done by the application itself, but now with the much more extensive pipelining support it really isn’t as easy for an application to know when the new request can get pipelined or create a new connection so this logic is now provided by libcurl itself. It is likely going to be appreciated and used also by non-pipelining applications…

This implementation is accompanied with a bunch of new test cases for libcurl (and even a new HTTP test server for the purpose), and it has been tested in the wild for a while with libcurl as the engine in a web browser implementation (the company doing that has requested to remain anonymous). We believe it is in fairly decent state, but as this is a large step and the first release it is shipped with I expect there to be some hiccups along the way.

Two things to take note of:

  1. pipelining is only available for users of libcurl’s multi interface, and only if explicitly enabled with CURLMOPT_PIPELINING
  2. the curl command line tool does not use the multi interface and thus it will not use pipelining

Why no curl 8

no 8In this little piece I’ll explain why there won’t be any version 8 of curl and libcurl in a long time. I won’t rule out that it might happen at some point in the future. Just that it won’t happen anytime soon and explain the reasons why.

Seven point twenty nine, really?

We’ve done 29 minor releases and many more patch releases since version seven was born, on August 7 2000. We did in fact bump the ABI number a couple of times so we had the chance of bumping the version number as well, but we didn’t take the chance back then and these days we have a much harder commitment and determinism to not break the ABI.

There’s really no particular downside with having a minor version 29. Given our current speed and minor versioning rules, we’ll bump it 4-6 times/year and we won’t have any practical problems until we reach 256. (This particular detail is because we provide the version number info with the API using 8 bits per major, minor and patch field and 8 bits can as you know only hold values up to 255.) Assuming we bump minor number 6 times per year, we’ll reach the problematic limit in about 37 years in the fine year 2050. Possibly we’ll find a reason to bump to version 8 before that.

Prepare yourself for seven point an-increasingly-higher-number for a number of years coming up!

Is bumping the ABI number that bad?

Yes!

We have a compatibility within the ABI number so that a later version always work with a program built to use the older version. We have several hundred million users. That means an awful lot of programs are built to use this particular ABI number. Changing the number has a ripple effect so that at some point in time a new version has to replace all the old ones and applications need to be rebuilt – and at worst also possibly have to be rewritten in parts to handle the ABI/API changes. The amount of work done “out there” on hundreds or thousands of applications for a single little libcurl tweak can be enormous. The last time we bumped the ABI, we got a serious amount of harsh words and critical feedback and since then we’ve gotten many more users!

Don’t sensible systems handle multiple library versions?

Yes in theory they do, but in practice they don’t.

If you build applications they have the ABI number stored for which lib to use, so if you just keep the different versions of the libraries installed in the file system you’ll be fine. Then the older applications will keep using the old version and the ones you rebuild will be made to use the new version. Everything is fine and dandy and over time all rebuilt applications will use the latest ABI and you can delete the older version from the system.

In reality, libraries are provided by distributions or OS vendors and they ship applications that link to a specific version of the underlying libraries. These distributions only want one version of the lib, so when an ABI bump is made all the applications that use the lib will be rebuilt and have to be updated.

Most importantly, there’s no pressing need!

If we would find ourselves cornered without ability to continue development without a bump then of course we would take the pain it involves. But as things are right now, we have a few things we don’t really like with the current API and ABI but in general it works fine and there’s no major downsides or great pains involved. We simply do not have any particularly good reason to bump version number or ABI version. Things work pretty good with the current way.

The future is of course unknown and at some point we’ll face a true limitation in the API that we need to bridge over with a bump, but it can also take a long while until we hit that snag.

Update April 6th: this article has been read by many and I’ve read a lot of comments and some misunderstandings about it. Here’s some additional clarifications:

  1. this isn’t stuff we’ve suddenly realized now. This is truths and facts we’ve learned over a long time and this post just makes it more widely available and easier to find. We already worked with this knowledge. I decided to blog about it since it struck me we didn’t have it documented anywhere.
  2. not doing version 8 (in a long time) does not mean we’re done or that the pace of development slows down. We keep doing releases bimonthly and we keep doing an average of 30 something bugfixes in each release.

some missing github features

github-social-coding

I think github is a lovely resource for collaborating on source code with my friends all over the globe. Among other things, we host the primary curl repository there and we’ve been doing so for almost three years now. This experience has led me to discover a bunch of things I miss in the service…

github is clearly aimed at repositories run by one person or a small set of persons, while in the projects I run I try to involve as many as possible in wide collaboration and I put efforts into informing everyone to get the widest possible attention and feedback. I may have created the account and “own” the repository, but I want the work to be done by a large team and I want everything that happens to it to be seen by a large audience. This is not always possible to do easily with the existing github services.

To further this spirit and to widen cooperation more, I would like to see the following improvements:

  • pull requests can’t be disabled nor can i control to which email address to send the notification. In our project I want all patches posted to the mailing list for review, archiving and discussions before I get a pull request, and I don’t use GitHub’s merge feature since it is hardly ever good enough (I want fast-forward and I usually feel a need to edit the commit message ever so slightly etc). I want the pull request to get translated into a patch review submission to the mailing list.
  • similarly, I cannot redirect where notifications are sent when someone comments a commit or a source line and this is highly annoying since we merge a lot of outsiders’ patches etc and as they may still read the mailing list we want the discussion there! Many times the contributors don’t have GitHub accounts and of course we don’t want to require that.
  • after the death of the CIA.vc service, the current IRC notification service offered by GitHub is nothing but inferior. The stupid bot has to join, tell its message and leave again. It is not an IRC friendly behavior and I can’t make it announce exactly what I’d like it to say…
  • I wish it had much better email notification on commits that would allow me to customize what it sends out without forcing me to write a full blown replacement. I want a unified diff included!

I realize GitHub has features that offer me to create an “organization” to host a repository instead of it being owned by me as a person, but I don’t think that should be a requirement to get this functionality. And I don’t know if GitHub truly offers better group functionality then either.