The best speed up I've ever had was reusing the same curl handle. Replace $ch = curl_init( $json_url ); with curl_setopt($ch, CURLOPT_URL, $url);. Then outside the functions have one $ch = curl_init();. You'll need to make $ch global in the functions to access it.
I needed to process about 1 million entities every day from one API-server that limits us to use only one concurrent connection. I created that class. I hope it will help others in optimising their curl requests.
With respect to environment, I've observed in PHP that cURL typically runs very fast in most environments except in places where there is low CPU and there is slower network performance. For example, on localhost on my MAMP installation, curl is fast, on a larger amazon instance, curl is fast. But on a small crappy hosting, i've seen it have performance issues where it is noticeably slower to connect. Though, i'm not sure exactly why that is slower. Also, it sure wasn't 5 seconds slower.
to help determine if its PHP or your environment, you should try interacting with curl via the command line. At least that you'll be able to rule out PHP code being the problem if its still 5 seconds.
This will force curl to use only ipv-4 and ignore ipv-6 which is still not very compatible with some devices and slows down the process. Adding --ipv4 to my curl command reduced the cost from 8 seconds to 4 seconds. Which is %50 faster.
Alternatively if you cannot use GNU parallel but still want to run multiple jobs at once you could just execute them as background jobs but will most likely want to limit the number of simultaneous processes. That can be accomplished with the following:
Another potential solution depending on your use case is the -Z flag. This is useful when providing multiple URLs to curl or when having curl automate things like pagination by specifying a curl specific syntax to work on a range.
Over the last six months or so, curl has undergone a number of refactors and architectural cleanups. The primary motivations for this have been to improve the HTTP/3 support and to offer HTTP/2 over proxy, but also to generally improve the code, its maintainability and its readability.
Running the exact same parallel test, built with the same OpenSSL version (and cipher config) and the same nghttp2 version, 7.86.0 transfers those 50 streams at 1040 MB/sec. A 2.36 times speedup!
It should probably also be noted that this big gain is in particular when doing them in parallel. If I do a single file transfer with the same program, current libcurl does 3900 MB/sec vs the old at 3700 MB/sec. Clearly the bigger enhancements lie in doing multiple transfers and internal transfer-switching.
I believe it does. By doing transfers faster, we are more effective and therefor libcurl uses less energy for the same thing than previously. In a world with 20+ billion libcurl installations, every little performance tweak has the opportunity to make a huge dent at scale.
I'm trying to build out a script that creates domain API registration URLs and sends them through the appropriate API to complete the registration. Right now I'm using curl and each request takes roughly 2 seconds. Are there faster languages or methods to doing this vs. using PHP to do the processing.
I was once in a position where cURL was not an option by the constraints of the project I was working on. I learned about streams and ended up using code similar to what is in this article. -post-from-php-without-curl/
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After a StackHawk scan is complete, you can jump into the web application to take a look at the list of findings. The UI gives details of the request and response payloads for a particular finding. When you have a security bug, the newly released Validate button helps you fix the problem faster.
Clicking on the Validate button will generate the curl command used to identify the bug. This curl command will have the correct HTTP verb, headers and data fields to recreate the potential attack. By running this curl command in debug mode in your IDE, you can step through the requests to identify where the bug lives in code. With this, you can quickly fix the vulnerability and get back to building software.
At StackHawk, we aim to empower developers to own their application security through knowledge and tooling, like the ability to recreate a curl attack from within our platform. Using this knowledge, you can protect your input fields, write tests against malicious data requests and have the peace of mind knowing how your web application can be attacked.
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Hi everyone.
I have a "Positivo 2 em 1 Q432A" pc, motherboard CHT12CP, quad core, 4 GB of RAM, running a pretty stripped down and minimalistic instance of Arch on a USB 3.0 pendrive, all programs updated to its latest versions, and I'm connected to the net through a TP-Link TP-UE300 USB-to-Ethernet Gigabit adapter, with 300 Mbps download and 150 Mbps upload as my nominal speeds, using Mitrastar GPT-2741GNAC-N2 as my "fiber modem".
My issue is that while I ALWAYS get 295+ Mbps download on the fast cli program and 300+ Mbps dl and 150+ ul on speedtest-cli, I only get "compatible" download speeds of 35-36+ MB/sec (i.e. 280-288+ Mbps) on pacman or curl - and that is on a specific server, though lately it seems that, after the first times I download a file from them, when I try it again, it'll be full speed for some 10-20 secs, then go down fast to 2 or 3 MB/sec then climb back up to 9 or 10 MB/sec and stay there for the rest of the download. That could be some sort of server protection that I've unwittingly triggered, since I've had to download the largest single file on Arch's repositories (cuda) a huge number of times to test this with pacman, curl, wget, Firefox, Chromium, etc. Is that even possible?
1. The download speed will climb fast, then "hit a ceiling" that could be anywhere between 24-36 MB/sec, and then immediately fall even faster to 2 or 3 MB/sec, climb back to anything between 6 to 12 MB/sec and stay there for the rest of the transference;
2. Like the previous one, but when it "hits the ceiling", it starts to "stutter" or get "mini-freeze-ups" for a few secs (inside the program only, all numbers freeze for a few secs, but the mouse, keyboard, etc. are not affected) and then fall; in these cases, the final speeds will be slower, betweem 3 to 5 MB/secs;
3. The speeds will stay between 9-12 MB/sec all the way through;
It might be worth mentioning that every first time I download something with Firefox, everything (this time including mouse, keyboard, etc.) is frozen for some 40 secs then continues as if nothing happened - and it's clear from the download progress that the pc was getting the file while everything was frozen at the measured speed. After that I can get the same file or any other and there'll be no "freezings" whatsoever. Also, depending on the speedtest or download I'm doing on Firefox, I hear some "clicks", but it seems to be only on FF.
Finally, there's rtorrent's case: on a popular download, the speeds will climb REALLY fast, until it's measuring 24-27 MB/sec, but from the changing numbers on downloaded file size, it's actually about 32-40 MB/sec, but the "speedometer" hasn't caught up with it yet. Then, everything inside the program will start to freeze for a few secs a number of times, and the speeds will fall below 5 MB/sec, afterwards climbing back up to anything between 9 and 12 MB/sec, but never go beyond this. If it somehow crosses that threshold again, the "fast fall" will happen again and the "ceiling" speeds will be even lower. Also, it'll get extremely slow to respond to commands after that.
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