= Notes on how to release new version = == alpha/beta/production == Check that documentation is updated (compare to web): Fixet for 20150722 git diff last-release-commit Unmodified beta since last version => production Unmodified alpha since last version => beta Modified => alpha == Update version == configure.ac: AC_INIT([parallel], [20100422], [bug-parallel@gnu.org]) src/parallel: $Global::version = 20100422; README: parallel-20130222 YYYYMMDD=`yyyymmdd` perl -i -pe "s/20\d\d\d\d\d\d/$YYYYMMDD/" configure.ac 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/$YYYYMMDD/" src/niceload perl -i -pe "s/parallel-20\d\d\d\d\d\d/parallel-$YYYYMMDD/" README === 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 mem; 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-$YYYYMMDD ./configure && make -j && sudo make -j install pushd == Upload == export YYYYMMDD=`yyyymmdd` eval `gpg-agent --daemon` make upload # Only needed for alpha: eval `gpg-agent --daemon` cp doc/parallel.directive parallel-$YYYYMMDD.tar.bz2.directive perl -i -pe "s/20\d\d\d\d\d\d/$YYYYMMDD/" parallel-*.tar.*directive gpg --clearsign --yes parallel-$YYYYMMDD.tar.bz2.directive (echo '#!/bin/bash'; echo; echo "# To check the signature run:" echo "# echo | gpg" echo "# gpg --auto-key-locate keyserver --keyserver-options auto-key-retrieve parallel-$YYYYMMDD.tar.bz2.sig" echo echo "echo | gpg 2>/dev/null" echo 'gpg --auto-key-locate keyserver --keyserver-options auto-key-retrieve $0' echo 'exit $?' echo gpg -ab -o - parallel-$YYYYMMDD.tar.bz2 ) > parallel-$YYYYMMDD.tar.bz2.sig gpg --auto-key-locate keyserver --keyserver-options auto-key-retrieve parallel-$YYYYMMDD.tar.bz2.sig ../ftpsync/src/ftpsync parallel-$YYYYMMDD.tar.bz2{,.sig,*asc} ftp://ftp-upload.gnu.org/incoming/alpha/ == Update OpenSUSE build system == cd ~/privat/parallel/packager/obs # Update version number em home:tange/parallel/parallel.spec find home:tange/parallel/* -type f | grep -v parallel.spec | parallel -Xj1 osc rm {} # This should not create new files osc up home:tange/parallel/ make # Reload build-status: https://build.opensuse.org/package/show?package=parallel&project=home%3Atange # Check that one .deb (Debian 5.0) and one .rpm (CentOS) end with 'succeeded' == Download and test == # Only needed for alpha (part of 'make upload') YYYYMMDD=`yyyymmdd` pushd /tmp rm -rf parallel-${YYYYMMDD}* # This can take 7 minutes #while ! wget http://ftp.gnu.org/gnu/parallel/parallel-$YYYYMMDD.tar.bz2 ; do sleep 2; done while ! wget http://alpha.gnu.org/gnu/parallel/parallel-$YYYYMMDD.tar.bz2 ; do sleep 2; done tar xjvf parallel-$YYYYMMDD.tar.bz2 cd parallel-$YYYYMMDD ./configure make -j && sudo make -j install pushd sudo cp /usr/local/bin/parallel /usr/local/bin/parallel-$YYYYMMDD == 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 cp src/*.pdf src/*.html ../parallel-web/parallel cp src/parallel.html ../parallel-web/parallel/man.html pushd ../parallel-web/parallel cvs up cvs ci -m "New release" pushd == Commit released version == git diff # Recheck OBS https://build.opensuse.org/package/show?package=parallel&project=home%3Atange YYYYMMDD=`yyyymmdd` TAG=MyTag echo "Released as $YYYYMMDD ('$TAG')." git commit -a -m "Released as $YYYYMMDD ('$TAG')" git tag -s -m "Released as $YYYYMMDD ('$TAG')" $TAG git tag -s -m "Released as $YYYYMMDD ('$TAG')" $YYYYMMDD git push git push origin $TAG git push origin $YYYYMMDD == Update documentation == Update version number + 1 Unmodified beta since last version => production Unmodified alpha since last version => beta Modified => alpha == Update Savannah == file:///home/tange/privat/parallel/doc/release_new_version Content from release mail: https://savannah.gnu.org/news/submit.php?group=parallel Test URLs. https://savannah.gnu.org/news/approve.php?group=parallel == Update Freshmeat == // FreeCode is dying http://freshmeat.net/projects/parallel/releases/new == Update Diaspora Twitter == https://joindiaspora.com/stream New release of #GNU Parallel pi․dk/0 New in this release pi․dk/2 See the intro videos pi․dk/1 10 secs installation: wget -O - pi․dk/3|bash [x] Twitter Aspect: Public GNU Parallel - for people who live life in the parallel lane. == Send announce == http://groups.google.com/group/comp.unix.shell/post http://groups.google.com/group/comp.unix.admin/post https://lists.gnu.org/mailman/admindb/bug-parallel https://lists.gnu.org/mailman/admindb/parallel <<<<< file:///home/tange/privat/parallel/doc/release_new_version from:tange@gnu.org to:parallel@gnu.org, bug-parallel@gnu.org cc:Tim Cuthbertson , Ludovic Courtès , Markus Ammer , Pavel Nuzhdin , Phil Sung , Michael Shigorin , Chris Howey , Fethican Coşkuner , Rogério Brito , Koen Vervloesem , R. Tyler Croy , kerick@shiftedbit.net, Christian Faulhammer , Ryoichiro Suzuki , Jesse Alama Subject: GNU Parallel 20150822 ('Aylan Kurdi') released <<[stable]>> GNU Parallel 20150922 ('Aylan Kurdi') <<[stable]>> has been released. It is available for download at: http://ftp.gnu.org/gnu/parallel/ <> Haiku of the month: <<>> -- Ole Tange New in this release: * GNU Parallel was cited in: Flexible Modeling of Epidemics with an Empirical Bayes Framework http://journals.plos.org/ploscompbiol/article?id=10.1371%2Fjournal.pcbi.1004382 * GNU Parallel was cited in: BL1: 2D Potts Model with a Twist https://sucs.swan.ac.uk/~rjames93/Dissertation.pdf * << kontakt GNU Parallel was used (unfortunately without citation) in: Instrumentation and Trace Analysis for Ad-hoc Python Workflows in Cloud Environments http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7214035>> * <> GNU Parallel was used (unfortunately without citation) in: MUGBAS: a species free gene-based programme suite for post-GWAS analysis http://www.ncbi.nlm.nih.gov/pubmed/25765345 * <> GNU Parallel was used in: Large Scale Author Name Disambiguation in Digital Libraries http://ieeexplore.ieee.org/xpl/abstractReferences.jsp?tp=&arnumber=7004487&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D7004487 * <> GNU Parallel was used (unfortunately with wrong citation) in: TADSim: Discrete Event-Based Performance Prediction for Temperature-Accelerated Dynamics http://vruehle.de/publications/2015c.pdf * Joys of gnu parallel http://scottolesen.com/index.php/2015/08/26/joys-of-gnu-parallel/ * Crop and resize images with bash and ImageMagick https://www.simonholywell.com/post/2015/08/image-resize-crop-bash-imagemagick/ * Three Ways to Script Processes in Parallel http://www.codeword.xyz/2015/09/02/three-ways-to-script-processes-in-parallel/ * L’Exploration De Données Twitter http://blog.inovia-conseil.fr/?p=233 * 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. 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://www.gnu.org/s/parallel/merchandise.html * 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 GNU Parallel for research: * Please cite GNU Parallel in you publications (use --bibtex) 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.