GNU Parallel 20260222 ('Epstein files') has been released. It is available for
download at: lbry://@GnuParallel:4
Quote of the month:
Und die Tage jetzt hab ich GNU parallel für mich entdeckt, auch ne nette
Geschichte, gerade wenn's irgendwelche remote APIs sind.
-- Vince @dd1des.bsky.social
New in this release:
* No new features.
* Bug fixes.
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.