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GNU Parallel 20211022 ('Sinclair') released


From: Ole Tange
Subject: GNU Parallel 20211022 ('Sinclair') released
Date: Fri, 22 Oct 2021 22:51:17 +0200

GNU Parallel 20211022 ('Sinclair') has been released. It is available
for download at: lbry://@GnuParallel:4

Quote of the month:

  GNU parallel is a severely underrated tool for just spawning a
  shitload of tasks. I use it every day and fucking love it.
    -- Jane @serialexpjane@twitter

New in this release:

* Don't postpone output until $jobslots jobs have been started.
* Bug fixes and man page updates.

News about GNU Parallel:

* How to Install GNU Parallel using Anaconda | Linux
https://www.youtube.com/watch?v=UwDNVP-L0qA
* Install GNU Parallel from source code | Linux
https://www.youtube.com/watch?v=PIyJH4ben5o
* Compiling GNU Parallel on CentOS-7
https://thelinuxcluster.com/2021/10/19/compiling-gnu-parallel-on-centos-7/

Get the book: GNU Parallel 2018
http://www.lulu.com/shop/ole-tange/gnu-parallel-2018/paperback/product-23558902.html

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 c82233e7da3166308632ac8c34f850c0
    12345678 c82233e7 da316630 8632ac8c 34f850c0
    $ md5sum install.sh | grep ae3d7aac5e15cf3dfc87046cfc5918d2
    ae3d7aac 5e15cf3d fc87046c fc5918d2
    $ sha512sum install.sh | grep dfc00d823137271a6d96225cea9e89f533ff6c81f
    9c5198d5 31a3b755 b7910ece 3a42d206 c804694d fc00d823 137271a6 d96225ce
    a9e89f53 3ff6c81f f52b298b ef9fb613 2d3f9ccd 0e2c7bd3 c35978b5 79acb5ca
    $ 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.



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