GNU Parallel 20230522 ('Charles') released [stable]

[Ole Tange]

GNU Parallel 20230522 ('Charles') has been released. It is available
for download at: lbry://@GnuParallel:4

Quote of the month:

  Recently learned how to use GNU parallel (from ChatGPT, no less!)
and I've gone mad with power
    -- Mark, Anthropomorphic Anuran @reject_resubmit@twitter

New in this release:
* No new features. This is a candidate for a stable release.
* Bug fixes and man page updates.

News about GNU Parallel:
* Introduction to parallel computing https://youtu.be/fvrHXV8yqU4?t=2874
* Script for summarizing GNU parallel joblog file
https://github.com/gavinmdouglas/parallel_joblog_summary
* How to copy a single file to multiple directories in Linux or Unix
https://www.cyberciti.biz/faq/linux-unix-copy-a-file-to-multiple-directories-using-cp-command/
* Search in your Jupyter notebooks from the CLI, fast.
https://dev.to/attilavm/search-in-your-jupyter-notebooks-from-the-cli-fast-1408
* Parallel Job Orchestration with GNU Parallel
https://www.youtube.com/watch?v=2tVpUfND3LI
* Optional Individual Submission 4 Job Handling 20266001 - GNU
Parallel https://www.youtube.com/watch?v=eC_RPuFCcU8
* DOE Cross-facility Workflows Training - April 12, 2023
https://www.youtube.com/watch?v=Ke3sirM-aQQ
* How to run MiXCR 4.x on multiple patient samples using GNU Parallel
https://www.youtube.com/watch?v=OXg-WHlB_dk

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 883c667e01eed62f975ad28b6d50e22a
    12345678 883c667e 01eed62f 975ad28b 6d50e22a
    $ md5sum install.sh | grep cc21b4c943fd03e93ae1ae49e28573c0
    cc21b4c9 43fd03e9 3ae1ae49 e28573c0
    $ sha512sum install.sh | grep ec113b49a54e705f86d51e784ebced224fdff3f52
    79945d9d 250b42a4 2067bb00 99da012e c113b49a 54e705f8 6d51e784 ebced224
    fdff3f52 ca588d64 e75f6033 61bd543f d631f592 2f87ceb2 ab034149 6df84a35
    $ 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.