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GNU Parallel Bug Reports GNU Parallel 20140822 ('Williams') released

From: Ole Tange
Subject: GNU Parallel Bug Reports GNU Parallel 20140822 ('Williams') released
Date: Sat, 23 Aug 2014 00:49:11 +0200

GNU Parallel 20140822 ('Williams') has been released. It is available
for download at: http://ftp.gnu.org/gnu/parallel/

Haiku of the month:

  code fork headache blues?
  option P is your new friend
  `man parallel` now!
         -- Malcolm Cook

New in this release:

* GNU Parallel now uses the same shell it was started from as the
command shell for local jobs. So if GNU Parallel is started from tcsh
it will use tcsh as its shell even if the login $SHELL is different.
For remote jobs the login $SHELL will be used.

* The whole current environment in bash can be copied by using a shell
wrapper function (Search manual for env_parallel).

* --plus adds the replacement strings {+/} {+.} {+..} {+...} {..}
{...} {/..} {/...}. The idea being that '+foo' matches the opposite of
'foo' and {} = {+/}/{/} = {.}.{+.} = {+/}/{/.}.{+.} = {..}.{+..} =
{+/}/{/..}.{+..} = {...}.{+...} = {+/}/{/...}.{+...}

* GNU Parallel now deals correctly with the combination
rsync-3.1.X-client and rsync-2.5.7-server

* GNU Parallel was cited in: A Web Service for Scholarly Big Data
Information Extraction

* Comparison of the speed of different GNU Parallel versions:

* GNU Parallel was covered in the webcast 2014-08-20: Data Science at
the Command Line http://www.oreilly.com/pub/e/3115

* Distributed processing with GNU parallel

* A Peek into GNU Parallel

* Сборка GNU parallel для CentOS/RHEL

* Bug fixes and man page updates.

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 is 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/) | bash

Watch the intro video on http://www.youtube.com/playlist?list=PL284C9FF2488BC6D1

Walk through the tutorial (man parallel_tutorial). Your commandline
will love you for it.

When using programs that use GNU Parallel to process data for
publication please cite:

O. Tange (2011): GNU Parallel - The Command-Line Power Tool, ;login:
The USENIX Magazine, February 2011:42-47.

= 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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