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= Notes on how to release new version =
== alpha/beta/production ==
Update documentation:
git diff last-release-commit
Unmodified beta since last version => production
Unmodified alpha since last version => beta
Modified => alpha
== Update version ==
=== configure.ac ===
configure.ac: AC_INIT([parallel], [20100422], [bug-parallel@gnu.org])
YYYYMMDD=`yyyymmdd`
perl -i -pe "s/20\d\d\d\d\d\d/$YYYYMMDD/" configure.ac
=== src/parallel ===
src/parallel: $Global::version = 20100422;
YYYYMMDD=`yyyymmdd`
perl -i -pe "/version/ and s/20\d\d\d\d\d\d/$YYYYMMDD/" src/parallel
perl -i -pe "/version/ and s/20\d\d\d\d\d\d/$YYYYMMDD/" src/sql
perl -i -pe "/version/ and s/20\d\d\d\d\d\d/$YYYYMMDD/" src/niceload
=== Autoconf/automake ===
rm -fr autom4te.cache aclocal.m4 config.h config.h.in config.log Makefile.in missing install-sh
rm -rf src/Makefile.in
autoreconf --install -W gnu
./configure
make -j && sudo make install
== Testsuite ==
cd testsuite; make
== Update NEWS ==
With the same things that goes in the announce mail
== Package ==
./configure
make dist
make dist-bzip2
== Test the package ==
YYYYMMDD=`yyyymmdd`
cp parallel-$YYYYMMDD.tar.bz2 /tmp
pushd /tmp
tar xjvf parallel-$YYYYMMDD.tar.bz2
cd parallel-$YYYYMMDD
./configure && make -j && sudo make -j install
pushd
== Upload ==
YYYYMMDD=`yyyymmdd`
cp doc/parallel.directive parallel-$YYYYMMDD.tar.bz2.directive
perl -i -pe "s/20\d\d\d\d\d\d/$YYYYMMDD/" parallel-*.tar.*directive
gpg --clearsign parallel-$YYYYMMDD.tar.bz2.directive
YYYYMMDD=`yyyymmdd`
gpg -b parallel-$YYYYMMDD.tar.bz2
YYYYMMDD=`yyyymmdd`
echo put parallel-$YYYYMMDD.tar.bz2{,.sig,*asc} | ncftp ftp://ftp-upload.gnu.org/incoming/ftp/
#echo put parallel-$YYYYMMDD.tar.bz2{,.sig,*asc} | ncftp ftp://ftp-upload.gnu.org/incoming/alpha/
== Update OpenSUSE build system ==
cd ~/privat/parallel/packager/obs
# Update version number
em home:tange/parallel/parallel.spec
find home:tange/parallel/* -type f | grep -v parallel.spec | parallel -Xj1 osc rm {}
# This should not create new files
osc up home:tange/parallel/
make
# Update versionsnummeret from 20110422-2 to YYYYMMDD-1
# Reload build-status:
https://build.opensuse.org/package/show?package=parallel&project=home%3Atange
# Check that one .deb (Debian 5.0) and one .rpm (CentOS) end with 'succeeded'
== Download and test ==
YYYYMMDD=`yyyymmdd`
pushd /tmp
rm -rf parallel-${YYYYMMDD}*
wget http://ftp.gnu.org/gnu/parallel/parallel-$YYYYMMDD.tar.bz2
#wget http://alpha.gnu.org/gnu/parallel/parallel-$YYYYMMDD.tar.bz2
tar xjvf parallel-$YYYYMMDD.tar.bz2
cd parallel-$YYYYMMDD
./configure
make -j && sudo make -j install
pushd
== Update website ==
http://www.gnu.org/software/parallel/
http://www.gnu.org/software/parallel/man.html
http://www.gnu.org/software/parallel/sql.html
http://www.gnu.org/software/parallel/sem.html
http://www.gnu.org/software/parallel/niceload.html
pod2html src/parallel.pod > ../parallel-web/parallel/man.html
pod2html src/sql > ../parallel-web/parallel/sql.html
pod2html src/niceload.pod > ../parallel-web/parallel/niceload.html
pod2html src/sem.pod > ../parallel-web/parallel/sem.html
pushd ../parallel-web/parallel
cvs up
cvs ci -m "New release"
pushd
== Commit released version ==
git diff
git commit -a
== Update Savannah ==
Content from release mail:
cat doc/release_new_version | klipper-stdin
https://savannah.gnu.org/news/submit.php?group=parallel
https://savannah.gnu.org/news/approve.php?group=parallel
# No longer updated. Too long and too buggy
# doc/pod2savannah_publicinfo src/parallel | klipper-stdin
# https://savannah.gnu.org/project/admin/editgroupinfo.php?group=parallel
== Update Freshmeat ==
http://freshmeat.net/projects/parallel/releases/new
== Update Diaspora Twitter ==
New release of #GNU Parallel pi.dk/0 New in this release pi.dk/2 See the intro videos pi.dk/1
[x] Twitter
Aspect: Public
== Send announce ==
http://groups.google.com/group/comp.unix.shell/post
Newsgroups: comp.unix.shell,comp.unix.admin
https://lists.gnu.org/mailman/admindb/bug-parallel
https://lists.gnu.org/mailman/admindb/parallel
<<<<<
from:tange@gnu.org
to:parallel@gnu.org, bug-parallel@gnu.org
cc:Sandro Cazzaniga <kharec@mandriva.org>,
Tim Cuthbertson <tim3d.junk@gmail.com>,
Steven M. Christensen <sunfreeware@gmail.com>,
Ludovic Courtès <ludo@gnu.org>, Markus Ammer <mkmm@gmx-topmail.de>,
Pavel Nuzhdin <pnzhdin@gmail.com>, Phil Sung <psung@alum.mit.edu>,
Michael Shigorin <mike@altlinux.org>,
Andrew McFague <amcfague@wgen.net>,
Chris Howey <howeyc@gmail.com>,
Fethican Coşkuner <fethicanc@gmail.com>,
Rogério Brito <rbrito@ime.usp.br>,
Koen Vervloesem <koen@vervloesem.eu>,
R. Tyler Croy <tyler@monkeypox.org>,
kerick@shiftedbit.net, Christian Faulhammer <fauli@gentoo.org>,
Ryoichiro Suzuki <ryoichiro.suzuki@gmail.com>,
Jesse Alama <jesse.alama@gmail.com>
Subject: GNU Parallel 20120922 ('X') released
GNU Parallel 20120922 ('X') has been released. It is
available for download at: http://ftp.gnu.org/gnu/parallel/
New in this release:
* GNU Parallel is accepted for Ubuntu Quantal.
http://packages.ubuntu.com/quantal/parallel
* Blog post in Japanese by Siguniang.
https://siguniang.wordpress.com/2012/09/09/notes-on-gnu-parallel-the-command-line-power-tool/
(Siguniang mentions the logo is called 'The Cafe Wall Illusion')
http://www.michaelbach.de/ot/ang_cafewall/index.html
* GNU Parallel, where have you been all my life?
http://ssdigit.nothingisreal.com/2012/09/gnu-parallel-where-have-you-been-all-my.html
* Reference-free ddRADseq analysis tools uses GNU Parallel.
https://github.com/brantp/rtd#readme
* When bash just isn’t quick enough.
https://soimasysadmin.wordpress.com/2012/08/15/gnu-parallel-when-bash-just-isnt-quick-enough/
* Using GNU Parallel to Package Multiple Jobs in a Single PBS Job.
http://www.nas.nasa.gov/hecc/support/kb/Using-GNU-Parallel-to-Package-Multiple-Jobs-in-a-Single-PBS-Job_303.html
* GNU Parallel Notes.
http://xed.ch/help/parallel.html
* Bug fixes and man page updates.
= 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/
Watch the intro video on
http://www.youtube.com/playlist?list=PL284C9FF2488BC6D1 or at
http://tinyogg.com/watch/TORaR/ and http://tinyogg.com/watch/hfxKj/
When using GNU Parallel for a 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
limit.
>>>>>
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