= 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 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 version of #GNU Parallel released. See what is new in this release http://nd.gd/2j Watch the intro videos http://nd.gd/039 https://savannah.gnu.org/news/?group=parallel # Obsolete: Now use @GnuParallel # # Only 350 requests per hour: 1 tweet = 3 requests # # 119 tweets/hour = sleep 30 per tweet (40 to be safe) # # The above is not enough. # # Went over the limit at number 132 (sleep 40) # # https://support.twitter.com/entries/15364-about-twitter-limits-update-api-dm-and-following # # says 250 direct msg per day = 86400/250 = sleep 345 # cat twitters | grep -iv removed | # parallel -j1 sleep 354\; echo @{} You have shown interest in GNU Parallel. \ # New version: http://nd.gd/2j This is the last message: Follow @GnuParallel \ # '|' ttytter == 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 , Tim Cuthbertson , Steven M. Christensen , Ludovic Courtès , Markus Ammer , Pavel Nuzhdin , Phil Sung , Michael Shigorin , Andrew McFague , Chris Howey , Fethican Coşkuner , Rogério Brito , Koen Vervloesem , R. Tyler Croy , kerick@shiftedbit.net, Christian Faulhammer , Ryoichiro Suzuki , Jesse Alama Subject: GNU Parallel 20120122 ('Fhqwhgads') released GNU Parallel 20120122 ('Fhqwhgads') has been released. It is available for download at: http://ftp.gnu.org/gnu/parallel/ New in this release: * Blog post on using GNU Parallel to speed up BLAST queries: http://blog.mckuhn.de/2012/01/embarrassingly-parallel-blast-search.html * Show your support for GNU Parallel. For 20 EUR incl world wide shipping get a GNU Parallel T-shirt+mug+pen+100 postcards. Email your shirt size and address for details to parallel-support@tange.dk. * Video showing Wake-on-LAN with GNU Parallel. https://www.youtube.com/watch?v=0mB-yIyKFLQ * Using GNU Parallel with Solr. http://sujitpal.blogspot.com/2011/12/solr-report-generation-with-python.html * First job ad including GNU Parallel: http://seeker.dice.com/jobsearch/servlet/JobSearch?op=101&dockey=xml/7/6/76f858de083a094f74b1a5d3ba53ffc5@endecaindex * 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. >>>>>