Author: Michael G

A man was killed and five other people were injured during a shooting inside a Nashville, Tennessee, restaurant on Sunday afternoon, police said.The shooting around 3 p.m. CDT (2000GMT) in Nashville’s Salemtown neighborhood began within minutes of the male suspect’s arrival at the restaurant with a woman, police said.The suspect and the man who died got into an argument that “significantly escalated within moments,” Metropolitan Nashville Police Department spokesman Don Aaron said during a news conference at the scene.Source: WTVF

New gem (https://github.com/0exp/redis_queued_locks) [RedisQueuedLocks] that provides distributed redis-based locks with “lock acquisition” ordered queue capabilites and depends on pre-configured RedisClient istance (Reidis infrastracture layer you should provide by yourself)

GNU Parallel 20240322 (‘Sweden’) has been released. It is available for download at: lbry://@GnuParallel:4

Quote of the month:

   GNU parallel ftw

    — hostux.social/@rmpr @_paulmairo@twitter

New in this release:

• Bug fixes and man page updates.

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.

As some of the dust around the xz backdoor is slowly starting to settle, we’ve been getting a pretty clear picture of what, exactly, happened, and it’s not pretty. This is a story of the sole maintainer of a crucial building block of the open source stack having mental health issues, which at least partly contributes to a lack of interest in maintaining xz. It seems a coordinated campaign – consensus seems to point to a state actor – is then started to infiltrate xz, with the goal of inserting a backdoor into the project. Evan Boehs has done the legwork of diving into the mailing lists and commit logs of various projects and the people involved, and it almost reads like the nerd version of a spy novel. It involves seemingly fake users and accounts violently pressuring the original xz maintainer to add a second maintainer; a second maintainer who mysteriously seems to appear at around the same time, like a saviour. This second maintainer manages to gain the original maintainer’s trust, and within months, this mysterious newcomer more or less takes over as the new maintainer. As the new maintainer, this person starts adding the malicious code in question. Sockpuppet accounts show up to add code to oss-fuzz to try and make sure the backdoor won’t be detected. Once all the code is in place for the backdoor to function, more fake accounts show up to push for the compromised versions of xz to be included in Debian, Red Hat, Ubuntu, and possibly others. Roughly at this point, the backdoor is discovered entirely by chance because Andres Freund noticed his SSH logins felt a fraction of a second slower, and he wanted to know why. What seems to have happened here is a bad actor – again, most likely a state actor – finding and targeting a vulnerable maintainer, who, through clever social engineering on both a personal level as well as the project level, gained control over a crucial but unexciting building block of the open source stack. Once enough control and trust was gained, the bad actor added a backdoor to do… Well, something. It seems nobody really knows yet what the ultimate goal was, but we can all make some educated guesses and none of them are any good. When we think of vulnerabilities in computer software, we tend to focus on bugs and mistakes that unintentionally create the conditions wherein someone with malicious intent can do, well, malicious things. We don’t often consider the possibility of maintainers being malicious, secretly adding backdoors for all kinds of nefarious purposes. The problem the xz backdoor highlights is that while we have quite a few ways to prevent, discover, mitigate, and fix unintentional security holes, we seem to have pretty much nothing in place to prevent intentional backdoors placed by trusted maintainers. And this is a real problem. There are so many utterly crucial but deeply boring building blocks all over the open source stacks pretty much the entire computing world makes use of that it has become a meme, spearheaded by xkcd’s classic comic. The weakness in many of these types of projects is not the code, but the people maintaining that code, most likely through no fault of their own. There are so many things life can throw at you that would make you susceptible to social engineering – money problems, health problems, mental health issues, burnout, relationship problems, god knows what else – and the open source community has nothing in place to help maintainers of obscure but crucial pieces of infrastructure deal with problems like these. That’s why I’m suggesting the idea of setting up a foundation – or whatever legal entity makes sense – that is dedicated to helping maintainers who face the kinds of problems like the maintainer of xz did. A place where a maintainer who is dealing with problems outside of the code repository can go to for help, advice, maybe even financial and health assistance if needed. Even if all this foundation offers to someone is a person to talk to in confidence, it might mean the difference between burning out completely, or recovering at least enough to then possibly find other ways to improve one’s situation. If someone is burnt-out or has a mental health crisis, they could contact the foundation, tell their story, and say, hey, I need a few months to recover and deal with my problems, can we put out a call among already trusted members of the open source community to step in for me for a while? Keep the ship steady as she goes without rocking it until I get back or we find someone to take over permanently? This way, the wider community will also know the regular, trusted maintainer is stepping down for a while, and that any new commits should be treated with extra care, solving the problem of some unknown maintainer of an obscure but important package suffering in obscurity, the only hints found in the low-volume mailing list well after something goes wrong. The financial responsibility for such a safety net should undoubtedly be borne by the long list of ultra-rich megacorporations who profit off the backs of these people toiling away in obscurity. The financial burden for something like this would be pocket change to the likes of Google, Apple, IBM, Microsoft, and so on, but could make a contribution to open source far greater than any code dump. Governments could probably be involved too, but that will most likely open up a whole can of worms, so I’m not sure if that would be a good idea. I’m not proposing this be some sort of glorified ATM where people can go to get some free money whenever they feel like it. The goal should be to help people who form crucial cogs in the delicate machinery of computing to live healthy, sustainable lives so their code and contributions to the community don’t get compromised. This