GNU Parallel 20250622 ('Павутина') has been released. It is available for
download at: lbry://@GnuParallel:4
Quote of the month:
GNU Parallel is a seriously underrated tool, at least based on how little
I hear people talk about it (and how often I possibly over-use it)
-- Byron Alley @byronalley
New in this release:
* No new features.
* Bug fixes and man page updates.
News about GNU Parallel:
* Maîtriser la commande parallel
https://blog.stephane-robert.info/docs/admin-serveurs/linux/parallel/
GNU Parallel - For people who live life in the parallel lane.
If you like GNU Parallel record a video testimonial: Say who you are, what
you use GNU Parallel for, how it helps you, and what you like most about
it. Include a command that uses GNU Parallel if you feel like it.
= About GNU Parallel =
GNU Parallel is a shell tool for executing jobs in parallel using one or
more computers. A job can be a single command or a small script that has to
be run for each of the lines in the input. The typical input is a list of
files, a list of hosts, a list of users, a list of URLs, or a list of
tables. A job can also be a command that reads from a pipe. GNU Parallel
can then split the input and pipe it into commands in parallel.
If you use xargs and tee today you will find GNU Parallel very easy to use
as GNU Parallel is written to have the same options as xargs. If you write
loops in shell, you will find GNU Parallel may be able to replace most of
the loops and make them run faster by running several jobs in parallel. GNU
Parallel can even replace nested loops.
GNU Parallel makes sure output from the commands is the same output as you
would get had you run the commands sequentially. This makes it possible to
use output from GNU Parallel as input for other programs.
For example you can run this to convert all jpeg files into png and gif
files and have a progress bar:
parallel --bar convert {1} {1.}.{2} ::: *.jpg ::: png gif
Or you can generate big, medium, and small thumbnails of all jpeg files in
sub dirs:
find . -name '*.jpg' |
parallel convert -geometry {2} {1} {1//}/thumb{2}_{1/} :::: - ::: 50
100 200
You can find more about GNU Parallel at: http://www.gnu.org/s/parallel/
You can install GNU Parallel in just 10 seconds with:
$ (wget -O - pi.dk/3 || lynx -source pi.dk/3 || curl pi.dk/3/ || \
fetch -o - http://pi.dk/3 ) > install.sh
$ sha1sum install.sh | grep c555f616391c6f7c28bf938044f4ec50
12345678 c555f616 391c6f7c 28bf9380 44f4ec50
$ md5sum install.sh | grep 707275363428aa9e9a136b9a7296dfe4
70727536 3428aa9e 9a136b9a 7296dfe4
$ sha512sum install.sh | grep b24bfe249695e0236f6bc7de85828fe1f08f4259
83320d89 f56698ec 77454856 895edc3e aa16feab 2757966e 5092ef2d 661b8b45
b24bfe24 9695e023 6f6bc7de 85828fe1 f08f4259 6ce5480a 5e1571b2 8b722f21
$ bash install.sh
Watch the intro video on
http://www.youtube.com/playlist?list=PL284C9FF2488BC6D1
Walk through the tutorial (man parallel_tutorial). Your command line will
love you for it.
When using programs that use GNU Parallel to process data for publication
please cite:
O. Tange (2018): GNU Parallel 2018, March 2018,
https://doi.org/10.5281/zenodo.1146014.
If you like GNU Parallel:
* Give a demo at your local user group/team/colleagues
* Post the intro videos on Reddit/Diaspora*/forums/blogs/
Identi.ca/Google+/Twitter/Facebook/Linkedin/mailing lists
* Get the merchandise
https://gnuparallel.threadless.com/designs/gnu-parallel
* Request or write a review for your favourite blog or magazine
* Request or build a package for your favourite distribution (if it is not
already there)
* Invite me for your next conference
If you use programs that use GNU Parallel for research:
* Please cite GNU Parallel in you publications (use --citation)
If GNU Parallel saves you money:
* (Have your company) donate to FSF https://my.fsf.org/donate/
= About GNU SQL =
GNU sql aims to give a simple, unified interface for accessing databases
through all the different databases' command line clients. So far the focus
has been on giving a common way to specify login information (protocol,
username, password, hostname, and port number), size (database and table
size), and running queries.
The database is addressed using a DBURL. If commands are left out you will
get that database's interactive shell.
When using GNU SQL for a publication please cite:
O. Tange (2011): GNU SQL - A Command Line Tool for Accessing Different
Databases Using DBURLs, ;login: The USENIX Magazine, April 2011:29-32.
= About GNU Niceload =
GNU niceload slows down a program when the computer load average (or other
system activity) is above a certain limit. When the limit is reached the
program will be suspended for some time. If the limit is a soft limit the
program will be allowed to run for short amounts of time before being
suspended again. If the limit is a hard limit the program will only be
allowed to run when the system is below the limit.
