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GNU Parallel Bug Reports GNU Parallel 20190422 ('Invitation') released [

From: Ole Tange
Subject: GNU Parallel Bug Reports GNU Parallel 20190422 ('Invitation') released [stable]
Date: Mon, 22 Apr 2019 01:21:10 +0200

GNU Parallel 20190422 ('Invitation') [stable] has been released. It is
available for download at: http://ftpmirror.gnu.org/parallel/

No new functionality was introduced so this is a good candidate for a
stable release.

= Invitation to 10 year reception =

GNU Parallel is 10 years old in a year on 2020-04-22. You are here by
invited to a reception on Friday 2020-04-17.

The primary reception will be held in Copenhagen, DK. Please reserve
the date and email address@hidden if you want to

If you cannot make it, you are encouraged to host a parallel party.

So far we hope to have parallel parties at:

  Vester Farimagsgade 37A
  DK-1606 København V
  RSVP: address@hidden

  Søren Frichs Vej 38 K th
  DK-8230 Åbyhøj
  RSVP: To be determined

  Overgade 54
  DK-5000 Odense C
  RSVP: To be determined

If you want to host a party held in parallel (either in this or in a
parallel universe), please let me know, so it can be announced.

If you have parallel ideas for how to celebrate GNU Parallel, please
post on the email list address@hidden So far we have the following

* Use GNU Parallel logo (the café wall illusion) as decoration
everywhere - preferably in a moving version where the bars slide.
Maybe we can borrow this https://www.youtube.com/watch?v=_XFDnFLqRFE
or make an animation in javascript based on
https://bl.ocks.org/Fil/13177d3c911fb8943cb0013086469b87? Other
illusions might be fun, too.
* Only serve beverages in parallel (2 or more), which may or may not
be the same kind of beverage, and may or may not be served to the same
person, and may or may not be served by multiple waiters in parallel
* Let people drink in parallel with straws (2 or more straws)
* Serve popcorn as snack (funny because cores and kernels are the same
word in Danish, and GNU Parallel keeps cores hot)
* Serve saltstænger and similar parallel snacks.
* Serve (snack friendly) cereal ("serial") in parallel bowls.
* Live parallel streaming from parallel parties
* Play songs in parallel that use the same 4 chords:
* Play songs named parallel, serial, mutex, race condition and similar
* Have RC racing cars to demonstrate race condition
* Put a counting semaphore on the toilets
* Only let people leave one at a time to simulate serialized output -
UNLESS they swap some clothing (to simulate half line mixing)

If you have interesting stories about or uses of GNU Parallel, please
post them, so can be part of the anniversary update.

Quote of the month:

  Y'all need some GNU parallel in your lives
    -- ChaKu @address@hidden

New in this release:

* Invitation to the 10 years anniversary next year.

* The Austin Linux Meetup: KVM as Hypervisor and GNU Parallel

* Bug fixes and man page updates.

Get the book: GNU Parallel 2018

GNU Parallel - For people who live life in the parallel lane.

= 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.

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 || curl pi.dk/3/ || fetch -o - http://pi.dk/3) | bash

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,

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

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