Category Archives: Open Source

Open Source, Free Software, and similar

curl doesn’t spew binary anymore

One of the least favorite habits of curl during all these years, I’ve been told, is when users forget to instruct the command line tool where to store the downloaded file and as a direct consequence, curl instead sends a lot of binary “gunk” to the terminal. The end result of that is at best just a busload of weird-looking characters on the screen, but with just a little bit of bad luck it can also lock up the terminal completely or change it in other ways.

Starting in curl 7.55.0 (from this commit), curl will inspect the beginning of each download that has been told to get sent to the terminal (tty!) and attempt to detect and prevent raw binary output to get sent there. The code is only simply looking for a binary zero in the data.

$ curl https://example.com/image.jpg
Warning: Binary output can mess up your terminal. Use "--output -" to tell curl to output it to your terminal anyway, or consider "--output <FILE>" to save to a file.

As the warning message says, there’s an option to use to switch off this emergency check for when you truly know what you’re doing and you don’t need curl to prevent you from doing this. Then you just tell curl explicitly that you want the output to stdout, with “–output -” (or “-o -” for a shorter version):

$ curl -o - https://example.com/binblob.img

We’re eager to get your input and feedback on how this works. We are aware of the risk of false positives for UTF-16 and UTF-32 outputs, but we think they are rare enough to not make this a huge problem.

This feature should be able to drastically reduce the risk for this:

Pipes

(Update, added after the initial posting.)

So many have remarked or otherwise asked how this affects when stdout is piped into something else. It doesn’t affect that! The whole point of this check is to only show the warning message if the binary output is sent to the terminal. If you instead pipe the output to another program or if you redirect the output with >, that will not trigger this warning but will instead continue just like before. Just like you’d expect it to.

curl: read headers from file

Starting in curl 7.55.0 (since this commit), you can tell curl to read custom headers from a file. A feature that has been asked for numerous times in the past, and the answer has always been to write a shell script to do it. Like this:

#!/bin/sh
while read line; do
  args="$args -H '$line'";
done
curl $args $URL

That’s now a response of the past (or for users stuck on old curl versions). We can now instead tell curl to read headers itself from a file using the curl standard @filename way:

$ curl -H @headers https://example.com

… and this also works if you want to just send custom headers to the proxy you do CONNECT to:

$ curl --proxy-headers @headers --proxy proxy:8080 https://example.com/

(this is a pure curl tool change that doesn’t affect libcurl, the library)

curling over HTTP proxy

Starting in curl 7.55.0 (this commit), curl will no longer try to ask HTTP proxies to perform non-HTTP transfers with GET, except for FTP. For all other protocols, curl now assumes you want to tunnel through the HTTP proxy when you use such a proxy and protocol combination.

Protocols and proxies

curl supports 23 different protocols right now, if we count the S-versions (the TLS based alternatives) as separate protocols.

curl also currently supports seven different proxy types that can be set independently of the protocol.

One type of proxy that curl supports is a so called “HTTP proxy”. The official HTTP standard includes a defined way how to speak to such a proxy and ask it to perform the request on the behalf of the client. curl supports using that over either HTTP/1.1 or HTTP/1.0, where you’d typically only use the latter version if you the first really doesn’t work with your ancient proxy.

HTTP proxy

All that is fine and good. But HTTP proxies were really only defined to handle HTTP, and to some extent HTTPS. When doing plain HTTP transfers over a proxy, the client will send its request to the proxy like this:

GET http://curl.haxx.se/ HTTP/1.1
Host: curl.haxx.se
Accept: */*
User-Agent: curl/7.55.0

… but for HTTPS, which should provide end to end encryption, a client needs to ask the proxy to instead tunnel through the proxy so that it can do TLS all the way, without any middle man, to the server:

CONNECT curl.haxx.se:443 HTTP/1.1
Host: curl.haxx.se:443
User-Agent: curl/7.55.0

When successful, the proxy responds with a “200” which means that the proxy has established a TCP connection to the remote server the client asked it to connect to, and the client can then proceed and do the TLS handshake with that server. When the TLS handshake is completed, a regular GET request is then sent over that established and secure TLS “tunnel” to the server. A GET request that then looks like one that is sent without proxy:

GET / HTTP/1.1
Host: curl.haxx.se
User-Agent: curl/7.55.0
Accept: */*

FTP over HTTP proxy

Things get more complicated when trying to perform transfers over the HTTP proxy using schemes that aren’t HTTP. As already described above, HTTP proxies are basically designed only for doing HTTP over them, but as they have this concept of tunneling through to the remote server it doesn’t have to be limited to just HTTP.

Also, historically, for decades people have deployed HTTP proxies that recognize FTP URLs, and transparently handle them for the client so the client can almost believe it is HTTP while the proxy has to speak FTP to the remote server in the other end and convert it back to HTTP to the client. On such proxies (Squid and Apache both support this mode for example), this sort of request is possible:

GET ftp://ftp.funet.fi/ HTTP/1.1
Host: ftp.funet.fi
User-Agent: curl/7.55.0
Accept: */*

curl knows this and if you ask curl for FTP over an HTTP proxy, it will assume you have one of these proxies. It should be noted that this method of course limits what you can do FTP-wise and for example FTP upload is usually not working and if you ask curl to do FTP upload over and HTTP proxy it will do that with a HTTP PUT.

HTTP proxy tunnel

curl features an option (–proxytunnel) that lets the user forcible tell the client to not assume that the proxy speaks this protocol and instead use the CONNECT method with establishing a tunnel through the proxy to the remote server.

It should of course be noted that very few deployed HTTP proxies in the wild allow clients to CONNECT to whatever port they like. HTTP proxies tend to only allow connecting to port 443 as that is the official HTTPS port, and if you ask for another port it will respond back with a 4xx response code refusing to comply.

Not HTTP not FTP over HTTP proxy

So HTTP, HTTPS and FTP are sent over the HTTP proxy fine. That leaves us with nineteen more protocols. What happens with them when you ask curl to perform them over a HTTP proxy?

Now we have finally reached the change that has just been merged in curl and changes what curl does.

Before 7.55.0

curl would send all protocols as a regular GET to the proxy if asked to use a HTTP proxy without seeing the explicit proxy-tunnel option. This came from how FTP was done and grew from there without many people questioning it. Of course it wouldn’t ever work, but also very few people would actually attempt it because of that.

From 7.55.0

All protocols that aren’t HTTP, HTTPS or FTP will enable the tunnel-through mode automatically when a HTTP proxy is used. No more sending funny GET requests to proxies when they won’t work anyway. Also, it will prevent users from accidentally leak credentials to proxies that were intended for the server, which previously could happen if you omitted the tunnel option with a few authentication setups.

HTTP/2 proxy

Sorry, curl doesn’t support that yet. Patches welcome!

target-independent libcurl headers

We write libcurl to be very portable. It can be built and run on virtually every operating system with an CPU architecture that is at least 32 bit, from some of the most legacy Unixes from the early 90s to the most recent updates to all the popular systems, including the widespread mobile platforms.

Type sizes on different architectures

In the early 2000s we added support to libcurl for “large files” (back in the days when that support wasn’t always present in your operating systems) and large variable types (beyond 32 bits) to work for applications and libcurl alike, and to work the same way for libcurl-using applications independently on which platform you’d compile the code on.

We started out using compiler/system defines to figure out for example the size of the native “off_t” type to know if it was 32 bit or 64 bit. That turned out to be problematic as users accidentally ended up in situations where the library considered a type to be one size and the application considered it to be another, leading to unexpected behaviors at best or downright crashes and misery.

Determine at lib build-time

The fix to that run-time size-of-variables confusion was to generate a fixed “outcome” at build-time that would then be used by both the library and applications so that they could never again disagree on this. The obvious downside here was that we had to generate this target specific information into public headers for the library (known as curl/curlbuild.h). We didn’t like doing it this way, but this approach was a better situation than before as it caused less headaches for users.

Now we instead created problems for system packagers who wanted to provide a set of curl headers and allow users to build for example either a 32 bit build or a 64 bit build of their application – so they had to generate two sets of curl headers. Or having the headers on a shared file system to be used by many different systems. Inconvenient. But as this solution didn’t hurt too many people, was a cumbersome problem to fix and yet possible to work around, it remained in the curl project since August 7, 2008 (commit 14240e9e109fe6af1).

Determine at app build-time

In March 2017 (commit 9506d01ee5) we introduced a new take on this problem. A new header that checks systems defines and determines all the necessary information at the time the application is compiled instead of at the time libcurl is compiled. We call it curl/system.h.

The goal was to replace the generated curlbuild.h header, but since it would cause serious problems if this new header would get any different results (like variable type sizes) than the old header, it was a risky move. We needed extra seat-belts for this.

We therefor added the new header next to the old header in parallel, and introduced a test case in the curl test suite that verifies the output from the two systems and make sure that they agree, and had them present in the curl source tree, coexisting. The curl/system.h file of course without being used for anything real, but tested by everyone who runs the test suite – to make sure it isn’t awful.

We think the new header file has now proven itself worthy. We have not gotten any recent reports on problems with test 1541. It is time to cut out the old header system and launch the new!

Starting in release curl 7.55.0, due to be released on August 9, 2017, the header files will finally again be truly platform agnostic. It took us nine years but we finally did it! The bulk of the change is made in this commit.

Just another detail in the machinery.

curl survey 2017 – analysis

The results are in. The curl user survey 2017 was up for a little over two weeks and attracted answers from a total of 513 individuals. This was a much better turnout that last year’s disappointment – thank you everyone!

The 2017 survey analysis as a 40 page PDF

This year we learned that the distribution curve for the amount of protocols people use curl for looks like this:

And the interest in getting even more protocols supported is still high, if not even very high and I think the top-most requested protocol is a bit surprising:

The outcome of the survey is the analysis document in which I’ve summarized by thoughts and added a bunch of graphs and other diagrams that illustrate the numbers. In particular compared to previous’ years results. It became a 40 page thing as I’ve tried to be detailed and also somewhat elaborate on commenting and reacting to a lot of the write-in suggestions and comments!

If you want to draw your own conclusions or just verify mine, I also offer you the following source material:

  1. The pristine 2017 CSV file as downloaded from Google, with all the results from the survey.
  2. To compare with last year, I also offer you the 2016 CSV file.
  3. During my the work of producing the analysis document, I imported the 2017 CSV file into libreoffice and fiddled with a lot of numbers and graphs, most of that didn’t end up in the document but you can find the raw 2017 survey libreoffice calc file and verify the outcomes or the formulas used.

Number of semicolon separated words in libreoffice calc

=LEN(TRIM(A1))-LEN(SUBSTITUTE(TRIM(A1),";",""))+1

The length of the entire A1 field (white space trimmed) minus the length of the A1 field with all the semicolons removed, plus one.

A string in A1 that looks like “A;B;C” will give the number 3.

I had to figure this out and I thought I’d store it here for later retrieval. Maybe someone else will enjoy it as well. The same formula works in Excel too I think.

curl: 5000 stars

The curl project has been hosted on github since March 2010, and we just now surpassed 5000 stars. A star on github of course being a completely meaningless measurement for anything. But it does show that at least 5000 individuals have visited the page and shown appreciation this low impact way.

5000 is not a lot compared to the really popular projects.

On August 12, 2014 I celebrated us passing 1000 stars with a beer. Hopefully it won’t be another seven years until I can get my 10000 stars beer!

The curl user survey 2017

The annual survey for curl and libcurl users is open. The 2017 edition has some minor edits since last year but is mostly the same set of questions used before. To help us detect changes and trends over time.

If you use curl or libcurl, in any way, shape or form, please consider spending a few minutes of your precious time on this. Your input helps us understand where we are and in which direction we should go next.

Fill in the form!

The poll is open fourteen days from Friday May 12th until midnight (CEST) May 27th 2017. All data we collect is non-personal and anonymous.

To get some idea of what sort of information we extract and collect from the results, have a look at the analysis of last year’s survey.

The subsequent analysis of the 2017 user survey.

Improving timers in libcurl

A few years ago I explained the timer and timeout concepts of the libcurl internals. A decent prerequisite for this post really.

Today, I introduced “timer IDs” internally in libcurl so that all expiring timers we use has to specify which timer it is with an ID, and we only have a set number of IDs to select from. Turns out there are only about 10 of them. 10 different ones. Per easy handle.

With this change, we now only allow one running timer for each ID, which then makes it possible for us to change timers during execution so that they never “fire” in vain like they used to do (since we couldn’t stop or remove them them before they expired previously). This change makes event loops slightly more efficient since now they will end up getting much fewer “spurious” timeouts that happen only because we had no infrastructure to prevent them.

Another benefit from only keeping one single timer for each ID in the list of timers, is that the dynamic list of running timers immediately become much shorter. This, because many times the same timer ID was used again and we would then add a new node to the list so the timer that had one purpose would expire twice (or more). But now it no longer works like that. In some typical uses I’ve tested, I’ve seen the list shrink from a maximum of 7-8 nodes down to a maximum of 1 or 2.

Finally, since we now have a finite number of timers that can be set at any given time and we know the maximum amount is fairly small, I could make the timer code completely skip using dynamic memory. Allocating 10 tiny structs as part of the main handle allocation is more efficient than doing tiny mallocs() for them one by one. In a basic comparison test I’ve run, this reduced the total number of allocations from 82 to 72 for “curl localhost”.

This change will be included in the pending curl release targeted to ship on June 14th 2017.  Possibly called version 7.54.1.

Those are all in a tree

As explained previously: the above explanation of timers goes for the set of timers kept for each individual easy handle, and with libcurl you can add an unlimited amount of easy handles to a multi handle (to perform lots of transfers in parallel) and then the multi handle has a self-balanced splay tree with the nearest-in-time timer for each individual easy handle as nodes in the tree, so that it can quickly and easily figure out which handle that needs attention next and when in time that is.

The illustration below shows a captured imaginary moment in time when there are five easy handles in different colors, all doing their own separate transfers, Each easy handle has three private timers set. The tree contains five nodes and the root of the tree is the node representing the the easy handle that needs to be taken care of next (in time). It also means we immediately know exactly how long time there is left until libcurl needs to act next.

Expiry

As soon “time N” occurs or expires, libcurl takes care of what the yellow handle needs to do and then removes that timer node from the tree. The yellow handle then advances the next timer first in line and the tree gets re-adjusted accordingly so that the new yellow first-node gets re-inserted positioned at the right place in the tree.

In our imaginary case here, the new yellow time N (formerly known as N + 1) is now later in time than L, but before M. L is now nearest in time and the tree has now adjusted to look something like this:

Since the tree only really cares about the root timer for each handle, you also see how adding a new timeout to single easy handle that isn’t the next in time is a really quick operation. It just adds a node in a linked list – per that specific handle. The linked list which now has a maximum length that is capped to the total amount of different timers: 10.

Straight-forward!