It’s a shame that this tool is so incredibly useful but simultaneously so unergonomic to use that it requires a 12 page manual.
Every time I reach for it the magical incantations that finally get it working properly are so completely unmemorable that it’s begging to have a modern replacement (like httpie is to curl).
If someone wrote a version with a better interface it would be instantly adopted in preference to this. Might be a good weekend project.
What? Why? Seriously getting fed up with the Rust lovers in Hacker News. It makes me hate Rust even though I actually really like it as a modern replacement for C++. Memory safety is only one aspect of proving program correctness. It's also less of an issue for garbage collected languages, and tracing GCs are fairly performant.
You don't see Coq users crapping on other languages for not proving their programs correct according to a formally defined specification.
Could you please elaborate on why Rust would be better than Go? Doesn’t Go offer good support for parallelism, which would be great use for implementing GNU Parallel.
One shouldn't have to elaborate on why Rust is better than anything. It's simply the best language for all tasks in 2019. It's irresponsible not to rewrite everything in Rust at this point.
Speed wise they are comparable to GNU Parallel. So the argument for Rust could be speed.
The argument against Rust could be backwards compatibility: How would you do the {= perl expr =} thing? Will it run on the current targets (CentOS 3.9 according to https://www.gnu.org/software/parallel/parallel_design.html#O...)? Will it run on systems for which you as a consultant do not have access to a Rust compiler for?
Maybe not any better syntax, but xargs is usually installed by default in most distros, and I've never found parallel to be advantageous over it. I don't think this particular wheel needs to be invented again.
-P sets parallelism, -n number of arguments for each execution. Those are my main weapons. (-i is usually also necessary, and can allow for some pretty creative situations)
I don't swear on HN, but Holy Shit, I just added -P to xargs in a testsuite bash script, and it's 7 times faster.
I only have quad core, but -P values higher than 4 give better performance. Maybe because the tests take different amounts of time, and it avoids them backing up. To get x7, I had -P equal to the number of tests.
If the tests are ever waiting for I/O or something, or otherwise using less than one full CPU core, then I think that could explain why running more than the number of cores would be an improvement. If you run "top", or use the "time" utility, what fraction of a CPU core does each test use?
Good thinking, but they don't do any file io, and I'm not sure how it could use less than a full CPU (wouldn't it just finish sooner? Though waiting for io could do that). OTOH it's java (on android, so dex format) and does some classloading of user classes... so maybe that is io? Here's time results:
real 0m1.818s
user 0m2.020s
sys 0m0.900s
top. (It completes in 1 sec, so put in a while loop - BTW top isn't behaving normally, "1" not giving multiple CPUs and not fitting on screen). Jus the top line:
The biggest problem with parallel is not the implementation but the command line options specification. The shell has no generic way of defining multiple streams feeding multiple placeholders, so parallel ends up using its own syntax which has to be different in order not to interfere with the base shell syntax. If the same functionality was integrated directly into the shell, it could be less complicated and more generic.
> That is enough to scare me off of trying to use parallel for casual tasks.
Just because emacs is such a complex software, does that mean no one can start learning it? No. As far as GNU parallel goes simply just understand what `:::` operator does and you can start using it in your workflow today. Software is not complex for the sake of beginners, it is complex so experts have a higher variety of features.
> It’s a shame that this tool is so incredibly useful but simultaneously so unergonomic to use that it requires a 12 page manual.
It doesn’t require reading the whole manual, nor does the length of the manual have anything to do with parallel’s ergonomics.
Do you use bash or ssh? Have you looked at the length of those manuals? Most of parallel’s manual is advanced workflows the casual user doesn’t need, stuff like parallel commands run over a network of machines and collecting the results on the originating host.
Maybe you could show some examples of what you mean, because I think parallel is pretty easy to use. Personally I feel like it’s usually easier than Xargs, especially when dealing with tricky quoting. It does have some of it’s own syntax, like the triple-colon :::, and it’s really easy to use. Several pages of manual are about variable substitutions you can use if you want, they’re very similar to bash variable substitutions, and they’re all optional and super convenient. A bunch of parallel’s manual pages are devoted to simple examples, which is nice, and the kind of thing that’s missing from so many man pages.
> it’s begging to have a modern replacement
I’m not sure what “modern” means. You could certainly propose some changes though, or show some examples of the kind of syntax that isn’t working for you. Httpie and curl are built to do different things.
If you're interested, I've written a tool called `loop` which sacrifices some of the abilities of GNU Parallel for a far more intuitive interface (I think so, anyway.)
> sacrifices some of the abilities of GNU Parallel
Like... the ability to run things in parallel?
Loop looks nice, don’t get me wrong. I think I’ll try it! It just seems like comparing it to Parallel is misplaced here, and a bad idea in general, since they’re not remotely related. Ole is comparing all these utilities to Parallel to show how general Parallel can be, and suggest you only need his one program and one syntax to emulate hundreds of different utilities: his argument is implicitly that people should use Parallel and not loop.
UNIX is about using the right tool for the right job, not the same tool for every job.
Let us remember the koan:
A Unix novice came to Master Foo and said: “I am confused. Is it not the Unix way that every program should concentrate on one thing and do it well?”
Master Foo nodded.
The novice continued: “Isn't it also the Unix way that the wheel should not be reinvented?”
Master Foo nodded again.
“Why, then, are there several tools with similar capabilities in text processing: sed, awk and Perl? With which one can I best practice the Unix way?”
Master Foo asked the novice: “If you have a text file, what tool would you use to produce a copy with a few words in it replaced by strings of your choosing?”
The novice frowned and said: “Perl's regexps would be excessive for so simple a task. I do not know awk, and I have been writing sed scripts in the last few weeks. As I have some experience with sed, at the moment I would prefer it. But if the job only needed to be done once rather than repeatedly, a text editor would suffice.”
Master Foo nodded and replied: “When you are hungry, eat; when you are thirsty, drink; when you are tired, sleep.”
I feel you, but at the same time, this discussion is about GNU Parallel. A tool that does not execute things in parallel is an irrelevancy in this context.
The name loop implies it runs the jobs sequentially, while the main feature of GNU parallel is to run the jobs in parallel. Maybe this is also possible with loop, but I don't see that option.
Common tasks for the web are easy in curl—though it will take me a long time to forget environment variables that could be set to false, true, or two. Httpie makes web apis easier, with better support for api keys and for hashing some headers into others, holding state across several command invocations, that sort of thing.
Yeah, quoting redirection is a bitch, but as long as you know GNU Parallel is just a program and not part of the shell, you can usually deduct which parts will be interpreted by the shell before GNU Parallel gets it.
I often create bash functions to avoid that shit, and then call the bash functions from GNU Parallel instead.
Realistically, the best language for this is C, because everything else is too heavyweight, requires too much of a runtime, or simply isn't available most places.
Does that also apply to platforms where you as a consultant for hire does not have access to a C compiler for that given platform?
It used to be an issue that non-free UNIXes did not include a C-compiler by default, and then C would really not help. I am not sure if that is the case anymore.
For those afraid of the complexity of GNU Parallel, there is the tiny moreutils `parallel` (or Tollef's parallel) that covers 90% of the common use cases with a single-page manual.
If you have a hard time getting it to work and remember how, then it is likely that the fundamentals of GNU Parallel are not clear to you. Chapter 2 ("Learn GNU Parallel in 15 minutes") of the book should take care of that.
> a better interface
That is often a tough one. I, for one, like emacs' interface. Others despise it. So when you write 'better interface' I think it will be helpful if you were more specific.
There is no such requirement. If you read the text you'll see that author explains that's their only income source, so they ask you to consider citing them in your paper. It is an entirely reasonable thing for a software engineer to ask from their users.
I'm actually a huge fan on parallel. Use it often for various media processing pipelines. Um, you don't need to be daunted by the 112 page manual. A brief read of the man page has always sufficed. The best part is that every time I think of something new I need to do, it's always there.
I like some of parallels' functionality but I wish it was more performant and that it was easier to avoid the complexity when you only want a few features.
As a result of parallel's performance and invocation complexity I find myself using xargs -P more frequently than parallel.
Immensely useful which I am forever grateful that it exists. I've made use of it thoroughly during a search engine indexer test I ran back in 2013, which allowed me to pretty much download and index (download + indexing in one go) an entire country (Romania) pages in less than 1 hour on a laptop with only 4GB ram and i7 Ivy Bridge processor (Zenbook UX21 a particularly).
All the components I've wrote are optimized to the core (short of going assembly). It allowed me to scale my operations up to 10000 processes continuously for the duration of the test. All this was done on a 4G connection with roughly 40Mbps bandwidth at the time on a virtualized (VirtualBox) CentOS LAMP installation.
It blew all my expectations, without parallel it would taken more than a month. Learned a lot from the experience developing it and maybe will make a post sharing what I've learned.
In regards to being complicated, well it isn't really when you consider its use scenarios, for these sorts of tasks, it's a indispensable tool.
Think of it this way: It is far less difficult than the difficulty of the tasks where you need to use it.
How did you get the list of pages to download? Or was this spidering from some starting set?
One hour on that connection means a maximum of 18GB of data, which seems surprisingly small for a whole country's internet (not that I have any point of comparison), small enough that you could easily do interesting analysis of the whole lot.
I've started off a seed list (compiled from both Alexa and Romanian Wikipedia) and from there on spidering through links found on each of the pages. I needed only the pages written in Romanian language so right after download, a language checking would take place along with the ranking and finally indexing. Please note that only the HTML was downloaded, no images/css/js etc so the size would be considerably less than if you would normally browse the pages. The HTML/CSS/JS would be sripped off, leaving the content for analysis, ranking and indexing.
True and after that I realized how small the Romanian internet really is in the big picture, surely allowed me to put things into perspective. It's small enough that it would be doable to have a near realtime update of the index since less than 10% of sites update daily and less than 1% on hourly basis such as news sites.
It correlates with traffic details of top trafficked webs in Romania where one of the top sites gets around 200k uniques a day, a small amount when you consider the big picture. It is likely that today the amount of data would be larger but not by much.
73 comments
[ 0.29 ms ] story [ 158 ms ] threadEvery time I reach for it the magical incantations that finally get it working properly are so completely unmemorable that it’s begging to have a modern replacement (like httpie is to curl).
If someone wrote a version with a better interface it would be instantly adopted in preference to this. Might be a good weekend project.
Ah, here it is: https://gitlab.redox-os.org/redox-os/parallel
You don't see Coq users crapping on other languages for not proving their programs correct according to a formally defined specification.
Speed wise they are comparable to GNU Parallel. So the argument for Rust could be speed.
The argument against Rust could be backwards compatibility: How would you do the {= perl expr =} thing? Will it run on the current targets (CentOS 3.9 according to https://www.gnu.org/software/parallel/parallel_design.html#O...)? Will it run on systems for which you as a consultant do not have access to a Rust compiler for?
I only have quad core, but -P values higher than 4 give better performance. Maybe because the tests take different amounts of time, and it avoids them backing up. To get x7, I had -P equal to the number of tests.
https://github.com/erikfrey/bashreduce
... | xargs -P10 -i sh -c 'command {} 1>{}.out 2>{}.err'
or maybe with tee:
... | xargs -P10 -i sh -c 'command {} | tee -a {}.out'
It is definitely not something I would dare to run in production.
xargs is part of POSIX, so it should be everywhere.
(-P/-n are not, but both GNU and BSD versions do support it.)
EDIT: Parent comment edited his post, leaving out his personal preference of language.
My first thought was, "12 pages isn't so bad." Then I loaded the page and realized you had a typo and meant _112_ page manual.
That is enough to scare me off of trying to use parallel for casual tasks.
Just because emacs is such a complex software, does that mean no one can start learning it? No. As far as GNU parallel goes simply just understand what `:::` operator does and you can start using it in your workflow today. Software is not complex for the sake of beginners, it is complex so experts have a higher variety of features.
It doesn’t require reading the whole manual, nor does the length of the manual have anything to do with parallel’s ergonomics.
Do you use bash or ssh? Have you looked at the length of those manuals? Most of parallel’s manual is advanced workflows the casual user doesn’t need, stuff like parallel commands run over a network of machines and collecting the results on the originating host.
Maybe you could show some examples of what you mean, because I think parallel is pretty easy to use. Personally I feel like it’s usually easier than Xargs, especially when dealing with tricky quoting. It does have some of it’s own syntax, like the triple-colon :::, and it’s really easy to use. Several pages of manual are about variable substitutions you can use if you want, they’re very similar to bash variable substitutions, and they’re all optional and super convenient. A bunch of parallel’s manual pages are devoted to simple examples, which is nice, and the kind of thing that’s missing from so many man pages.
> it’s begging to have a modern replacement
I’m not sure what “modern” means. You could certainly propose some changes though, or show some examples of the kind of syntax that isn’t working for you. Httpie and curl are built to do different things.
You can check it out here:
https://github.com/Miserlou/Loop
Like... the ability to run things in parallel?
Loop looks nice, don’t get me wrong. I think I’ll try it! It just seems like comparing it to Parallel is misplaced here, and a bad idea in general, since they’re not remotely related. Ole is comparing all these utilities to Parallel to show how general Parallel can be, and suggest you only need his one program and one syntax to emulate hundreds of different utilities: his argument is implicitly that people should use Parallel and not loop.
$ yes | parallel -N0 -j1 echo touch '{= $_=seq()*5 =}'.txt
vs
$ loop --count-by 5 -- touch $COUNT.txt
UNIX is about using the right tool for the right job, not the same tool for every job.
Let us remember the koan:
A Unix novice came to Master Foo and said: “I am confused. Is it not the Unix way that every program should concentrate on one thing and do it well?”
Master Foo nodded.
The novice continued: “Isn't it also the Unix way that the wheel should not be reinvented?”
Master Foo nodded again.
“Why, then, are there several tools with similar capabilities in text processing: sed, awk and Perl? With which one can I best practice the Unix way?”
Master Foo asked the novice: “If you have a text file, what tool would you use to produce a copy with a few words in it replaced by strings of your choosing?”
The novice frowned and said: “Perl's regexps would be excessive for so simple a task. I do not know awk, and I have been writing sed scripts in the last few weeks. As I have some experience with sed, at the moment I would prefer it. But if the job only needed to be done once rather than repeatedly, a text editor would suffice.”
Master Foo nodded and replied: “When you are hungry, eat; when you are thirsty, drink; when you are tired, sleep.”
Upon hearing this, the novice was enlightened.
$ seq 0 5 100000 | parallel touch {}.txt
Or you you really want the infinite loop:
$ yes | parallel touch '{= $_=seq()*5 =}'.txt
'$' must be quoted
$ loop --count-by 5 -- touch '$'COUNT.txt
[1]: https://en.wikipedia.org/wiki/Watch_(Unix)
This seems like a pretty weird example. All common tasks in curl are very straightforward and I've never even heard of httpie.
Let's please not change the interface to basic command line tools every few years because people want something ""modern"".
For me the trickiest thing is remembering how to deal with redirection. I find the --dry-run option to be super useful when setting up a command.
[0]: https://www.youtube.com/playlist?list=PL284C9FF2488BC6D1
I often create bash functions to avoid that shit, and then call the bash functions from GNU Parallel instead.
It used to be an issue that non-free UNIXes did not include a C-compiler by default, and then C would really not help. I am not sure if that is the case anymore.
https://manpages.debian.org/testing/moreutils/parallel.1.en....
If you have a hard time getting it to work and remember how, then it is likely that the fundamentals of GNU Parallel are not clear to you. Chapter 2 ("Learn GNU Parallel in 15 minutes") of the book should take care of that.
> a better interface
That is often a tough one. I, for one, like emacs' interface. Others despise it. So when you write 'better interface' I think it will be helpful if you were more specific.
parallel -a input_file_here -j16 --gnu 'ssh -q {} "echo 'Matrix has you'"'
Removing that requirement is a two line patch:
It's also a reasonable thing for a user of free software to modify the software and improve it by removing this kind of garbage.
Run 'parallel --citation' ONCE and have the notice silenced.
I never understood the complaint: Is it because people do not _read_ the message?
https://www.gnu.org/software/parallel/parallel_alternatives....
As a result of parallel's performance and invocation complexity I find myself using xargs -P more frequently than parallel.
All the components I've wrote are optimized to the core (short of going assembly). It allowed me to scale my operations up to 10000 processes continuously for the duration of the test. All this was done on a 4G connection with roughly 40Mbps bandwidth at the time on a virtualized (VirtualBox) CentOS LAMP installation.
It blew all my expectations, without parallel it would taken more than a month. Learned a lot from the experience developing it and maybe will make a post sharing what I've learned.
In regards to being complicated, well it isn't really when you consider its use scenarios, for these sorts of tasks, it's a indispensable tool.
Think of it this way: It is far less difficult than the difficulty of the tasks where you need to use it.
One hour on that connection means a maximum of 18GB of data, which seems surprisingly small for a whole country's internet (not that I have any point of comparison), small enough that you could easily do interesting analysis of the whole lot.
True and after that I realized how small the Romanian internet really is in the big picture, surely allowed me to put things into perspective. It's small enough that it would be doable to have a near realtime update of the index since less than 10% of sites update daily and less than 1% on hourly basis such as news sites.
It correlates with traffic details of top trafficked webs in Romania where one of the top sites gets around 200k uniques a day, a small amount when you consider the big picture. It is likely that today the amount of data would be larger but not by much.