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Tux Machines
Posted by Roy Schestowitz on Mar 23, 2023,
updated Mar 23, 2023
GNU Parallel 20230322 ('Arrest Warrant') has been released. It is available for download at: lbry://@GnuParallel:4 Quote of the month: GNU parallel is magic, half of my work uses it, to the point where they're referenced and thanked in my thesis -- Best Catboy Key Grip @alamogordoglass@twitter New in this release:
Better support for wide characters in --latest-line.Support for rsync 3.2.7.Bug fixes and man page updates. News about GNU Parallel:
Analyzing multi-gigabyte JSON files locally => https://thenybble.de/posts/json-analysis/ ↺ https://thenybble.de/posts/json-analysis/
5 great Perl scripts to keep in your sysadmin toolbox => https://www.redhat.com/sysadmin/perl-scripts ↺ https://www.redhat.com/sysadmin/perl-scripts
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. [...]
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/colleaguesPost the intro videos on Reddit/Diaspora*/forums/blogs/Identi.ca/Google+/Twitter/Facebook/Linkedin/mailing listsGet the merchandise => https://gnuparallel.threadless.com/designs/gnu-parallel ↺ https://gnuparallel.threadless.com/designs/gnu-parallel
Request or write a review for your favourite blog or magazineRequest 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/ ↺ 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 Niceloa1d 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. Read on
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