Kubernetes YAML gives Podman a unified solution to declare container workloads across environments and simplify complexity for developers and sysadmins. Read More at Enable Sysadmin
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GNU Parallel 20220822 (‘Rushdie’) has been released. It is available for download at: lbry://@GnuParallel:4
Quote of the month:
Parallel is Good Stuff ™
— bloopernova@ycombinator
New in this release:
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.
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:
If you use programs that use GNU Parallel for research:
If GNU Parallel saves you money:
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.
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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We are delighted to announce that the program for MoodleMoot Global 2022 is now available online. Please note this is still subject to change.
If you are presenting, please check the program to see your allocated time and session.
This year’s MoodleMoot Global program includes over 120 presentations, covering the three conference streams for Educators, Administrators and Developers, allocated into themed sessions that combine different talks, workshops and poster presentations from the Moodle community, Moodle Partners, Moodle HQ and sponsors, with presenters from 35 different countries.
The program also includes a variety of social and networking events (including the MoodleMoot Global Party!) and much more.
We would like to thank the whole community for their great contribution to the program with their abstracts. We were really impressed with the high level of submissions we received and were disappointed we couldn’t include more in the program.
Don’t miss the opportunity to join us at the biggest Moodle event of the year. Register now to secure your spot!
We look forward to seeing you in Barcelona next month!
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