Search Results: "xam"

5 May 2015

Miriam Ruiz: SuperTuxKart 0.9: The other side of the story

I approached the SuperTuxKart community fearing some backslash due to last week s discussion about their release 0.9, to find instead a nice, friendly and welcoming community. I have already had some very nice talks with them since then, and they have patiently explained to me the sequence of events that led to the situation that I mentioned and that, for the sake of fairness, I consider that I have to share here too. You can read the log of the first conversation I had with them (the log has been edited and cleared up for clarity and readability). I seriously recommend reading it, it s a honest friendly conversation, and it s first hand. For those who don t already know the game:

All this story seems to start with the complain of a 6 yo girl, close relative of one of the developers and STK user, who explained that she always felt that Mario Kart was better because there was a princess in it. I m not particularly happy with princesses as role models for girls, but one thing I have always said is that we have to listen to kids and take their opinions into accounts, and I know that if I had such a request from one of the kids closer to me, I probably would have fulfilled it too. In any case, Free Software projects based on volunteer work are essentially a do-ocracy and it is assumed that whoever does the work, gets to decide about it.

So that is how Princess Sara was added to the game. While developing it, I was assured that they took extra care that her proportions were somehow realistic, and not as distorted as we re used to see in Barbie or many Disney films. Sara is inspired on an OpenGameArt s wizard and is not supposed to be a weak damsel in distress, but in fact a powerful character in the world s universe.

Sara is not the only female character playable. There are a few others: Suzanne (a monkey, Blender s mascot), Xue (XFCE s mouse) and Amanda (a panda, the mascot of windows maker). Sara happens to be the only human character playable, male or female. While it has been argued that by adding that character, a player might have the impression that the rest of the characters would be male by default, I have been told that the intention is exactly the opposite,and that the fact that the only human playable character in the game is female should make it more attractive to girls. To some, at least. Here are some images of Sara:

So the fact is that they have invested a lot of time in developing Sara s model. I m not an artist myself, so I don t know first hand how much time and effort it takes to make such a model, but in any case it seems that quite a lot. When they designed the beach track Gran Paradiso, they wanted to add people to the beach. That track is, in fact, inspired on a real existing place: Princess Juliana Airport. Time was over and they wanted to publish a version with what they already had, so they used Sara s model in a bikini on the beach, with the intention of adding more people, male and female, later. The overall view of the beach would be:

This is how that track shows when the players are driving in it:

Now, about the poster of version 0.9, it is supposed to be inspired in the previous poster of version 0.8.1, only this time inspired in Carnival (which is, in fact, a celebration in which sexualization of both genders is a core part). I know that there are accusations of cultural apropriation, but I couldn t know, as my white privilege probably shields me from seeing that. Up to now, no one has said anything about that, only Gunnar explaining his point of view as a non-native mexican: While the poster does not strike as the most cautious possible, I do not see it as culturally offensive. It does not attempt to set a scene portraiting what were the cultures really like; the portrait it paints is similar to so many fantasy recreations . In my opinion, even when the model is done in good taste, with no superbig breasts and no unrealistic waist, it s still depicting a girl without much clothes as the main element of the scene, with an attire, a posture and an attitude that clearly resembles carnival and, thus, inevitably conveys a message of sexualization. Even though I can t deny that it s a cute poster, it s one I wouldn t be happy to see for example in a school, if someone wanted to promote the game there. The author of the poster, anyway, tells me that he had a totally different intention when doing it, and he wanted to depict a powerful princess, in the center of SuperTuxKart s universe, celebrating the new engine.

About the panties showing every now and then, I ve been told that it s something so hard to see that in fact you would really have to open the model itself to view them. I m not saying that I like them though, I think it would have been better if Sara would have had short pants under the skirt, if she was going to drive the snowmobile with a dress, but I m not sure if that s something important enough to condemn the game. The original girl mentioned at the beginning of this post seems to have found the animation funny, started laughing, and said that Sara is very silly, and that was all. It s probably something more silly than naughty, I guess. Even though, as I said, it s something I don t like too much. I don t have to agree with STK developers in everything. I guess.

There s one thing I would like to highlight about my conversations with the developers of SuperTuxKart, though. I like them. They seem to be as concerned about the wellbeing of kids as I am, they have their own ethic norms of what s acceptable and what s not, and they want to do something to be proud of. Sometimes, many of these conflicts arise from a lack of trust. When I first saw the screenshots with the girl in bikini and the panties showing, I was honestly concerned about the direction the project was taking. After having talked with the developers, I am more calmed about it, because they seem to have their heart in the right place, they care, they are motivated and they work hard. I don t know if a princess would be my first choice for a main female character, but at least their intention seems to be to give some girls a sensible role model in the game with who they can identify.

4 May 2015

Lunar: Reproducible builds: first week in Stretch cycle

Debian Jessie has been released on April 25th, 2015. This has opened the Stretch development cycle. Reactions to the idea of making Debian build reproducibly have been pretty enthusiastic. As the pace is now likely to be even faster, let's see if we can keep everyone up-to-date on the developments. Before the release of Jessie The story goes back a long way but a formal announcement to the project has only been sent in February 2015. Since then, too much work has happened to make a complete report, but to give some highlights: Lunar did a pretty improvised lightning talk during the Mini-DebConf in Lyon. This past week It seems changes were pilling behind the curtains given the amount of activity that happened in just one week. Toolchain fixes We also rebased the experimental version of debhelper twice to merge the latest set of changes. Lunar submitted a patch to add a -creation-date to genisoimage. Reiner Herrmann opened #783938 to request making -notimestamp the default behavior for javadoc. Juan Picca submitted a patch to add a --use-date flag to texi2html. Packages fixed The following packages became reproducible due to changes of their build dependencies: apport, batctl, cil, commons-math3, devscripts, disruptor, ehcache, ftphs, gtk2hs-buildtools, haskell-abstract-deque, haskell-abstract-par, haskell-acid-state, haskell-adjunctions, haskell-aeson, haskell-aeson-pretty, haskell-alut, haskell-ansi-terminal, haskell-async, haskell-attoparsec, haskell-augeas, haskell-auto-update, haskell-binary-conduit, haskell-hscurses, jsch, ledgersmb, libapache2-mod-auth-mellon, libarchive-tar-wrapper-perl, libbusiness-onlinepayment-payflowpro-perl, libcapture-tiny-perl, libchi-perl, libcommons-codec-java, libconfig-model-itself-perl, libconfig-model-tester-perl, libcpan-perl-releases-perl, libcrypt-unixcrypt-perl, libdatetime-timezone-perl, libdbd-firebird-perl, libdbix-class-resultset-recursiveupdate-perl, libdbix-profile-perl, libdevel-cover-perl, libdevel-ptkdb-perl, libfile-tail-perl, libfinance-quote-perl, libformat-human-bytes-perl, libgtk2-perl, libhibernate-validator-java, libimage-exiftool-perl, libjson-perl, liblinux-prctl-perl, liblog-any-perl, libmail-imapclient-perl, libmocked-perl, libmodule-build-xsutil-perl, libmodule-extractuse-perl, libmodule-signature-perl, libmoosex-simpleconfig-perl, libmoox-handlesvia-perl, libnet-frame-layer-ipv6-perl, libnet-openssh-perl, libnumber-format-perl, libobject-id-perl, libpackage-pkg-perl, libpdf-fdf-simple-perl, libpod-webserver-perl, libpoe-component-pubsub-perl, libregexp-grammars-perl, libreply-perl, libscalar-defer-perl, libsereal-encoder-perl, libspreadsheet-read-perl, libspring-java, libsql-abstract-more-perl, libsvn-class-perl, libtemplate-plugin-gravatar-perl, libterm-progressbar-perl, libterm-shellui-perl, libtest-dir-perl, libtest-log4perl-perl, libtext-context-eitherside-perl, libtime-warp-perl, libtree-simple-perl, libwww-shorten-simple-perl, libwx-perl-processstream-perl, libxml-filter-xslt-perl, libxml-writer-string-perl, libyaml-tiny-perl, mupen64plus-core, nmap, openssl, pkg-perl-tools, quodlibet, r-cran-rjags, r-cran-rjson, r-cran-sn, r-cran-statmod, ruby-nokogiri, sezpoz, skksearch, slurm-llnl, stellarium. The following packages became reproducible after getting fixed: Some uploads fixed some reproducibility issues but not all of them: Patches submitted which did not make their way to the archive yet: Improvements to reproducible.debian.net Mattia Rizzolo has been working on compressing logs using gzip to save disk space. The web server would uncompress them on-the-fly for clients which does not accept gzip content. Mattia Rizzolo worked on a new page listing various breakage: missing or bad debbindiff output, missing build logs, unavailable build dependencies. Holger Levsen added a new execution environment to run debbindiff using dependencies from testing. This is required for packages built with GHC as the compiler only understands interfaces built by the same version. debbindiff development Version 17 has been uploaded to unstable. It now supports comparing ISO9660 images, dictzip files and should compare identical files much faster. Documentation update Various small updates and fixes to the pages about PDF produced by LaTeX, DVI produced by LaTeX, static libraries, Javadoc, PE binaries, and Epydoc. Package reviews Known issues have been tagged when known to be deterministic as some might unfortunately not show up on every single build. For example, two new issues have been identified by building with one timezone in April and one in May. RD and help2man add current month and year to the documentation they are producing. 1162 packages have been removed and 774 have been added in the past week. Most of them are the work of proper automated investigation done by Chris West. Summer of code Finally, we learned that both akira and Dhole were accepted for this Google Summer of Code. Let's welcome them! They have until May 25th before coding officialy begins. Now is the good time to help them feel more comfortable by sharing all these little bits of knowledge on how Debian works.

3 May 2015

Erich Schubert: @Zigo: Why I don't package Hadoop myself

A quick reply to Zigo's post:
Well, I looked at the Bigtop efforts because I needed Hadoop packages. But they are not very useful. They have lots of issues (including empty packages, naming conflicts etc.).
I filed a few bugs, and I even uploaded my fixes to Github. Some of that went unnoticed, because Sean Owen of Cloudera decided to remove all Debian packaging from Spark. But in the end, even with these fixes, the resulting packages do not live up to Debian quality standards (not to say, they would outright violate policy).
If you wanted to package Hadoop properly, you should ditch Apache Bigtop, and instead use the existing best practises for packaging. Using any of the Bigtop work just makes your job harder, by pulling in additional dependencies like their modified Groovy.
But whatever you do, you will be stuck in .jar dependency hell. Whatever you look at, it pulls in another batch of dependencies, that all need to be properly packaged, too. Here is the dependency chain of Hadoop:
[INFO] +- org.apache.hadoop:hadoop-hdfs:jar:2.6.0:compile
[INFO]    +- com.google.guava:guava:jar:11.0.2:compile
[INFO]    +- org.mortbay.jetty:jetty:jar:6.1.26:compile
[INFO]    +- org.mortbay.jetty:jetty-util:jar:6.1.26:compile
[INFO]    +- com.sun.jersey:jersey-core:jar:1.9:compile
[INFO]    +- com.sun.jersey:jersey-server:jar:1.9:compile
[INFO]       \- asm:asm:jar:3.1:compile
[INFO]    +- commons-cli:commons-cli:jar:1.2:compile
[INFO]    +- commons-codec:commons-codec:jar:1.4:compile
[INFO]    +- commons-io:commons-io:jar:2.4:compile
[INFO]    +- commons-lang:commons-lang:jar:2.6:compile
[INFO]    +- commons-logging:commons-logging:jar:1.1.3:compile
[INFO]    +- commons-daemon:commons-daemon:jar:1.0.13:compile
[INFO]    +- javax.servlet.jsp:jsp-api:jar:2.1:compile
[INFO]    +- log4j:log4j:jar:1.2.17:compile
[INFO]    +- com.google.protobuf:protobuf-java:jar:2.5.0:compile
[INFO]    +- javax.servlet:servlet-api:jar:2.5:compile
[INFO]    +- org.codehaus.jackson:jackson-core-asl:jar:1.9.13:compile
[INFO]    +- org.codehaus.jackson:jackson-mapper-asl:jar:1.9.13:compile
[INFO]    +- tomcat:jasper-runtime:jar:5.5.23:compile
[INFO]    +- xmlenc:xmlenc:jar:0.52:compile
[INFO]    +- io.netty:netty:jar:3.6.2.Final:compile
[INFO]    +- xerces:xercesImpl:jar:2.9.1:compile
[INFO]       \- xml-apis:xml-apis:jar:1.3.04:compile
[INFO]    \- org.htrace:htrace-core:jar:3.0.4:compile
[INFO] +- org.apache.hadoop:hadoop-auth:jar:2.6.0:compile
[INFO]    +- org.slf4j:slf4j-api:jar:1.7.5:compile
[INFO]    +- org.apache.httpcomponents:httpclient:jar:4.2.5:compile
[INFO]       \- org.apache.httpcomponents:httpcore:jar:4.2.4:compile
[INFO]    +- org.apache.directory.server:apacheds-kerberos-codec:jar:2.0.0-M15:compile
[INFO]       +- org.apache.directory.server:apacheds-i18n:jar:2.0.0-M15:compile
[INFO]       +- org.apache.directory.api:api-asn1-api:jar:1.0.0-M20:compile
[INFO]       \- org.apache.directory.api:api-util:jar:1.0.0-M20:compile
[INFO]    +- org.apache.zookeeper:zookeeper:jar:3.4.6:compile
[INFO]       +- org.slf4j:slf4j-log4j12:jar:1.7.5:compile
[INFO]       \- jline:jline:jar:0.9.94:compile
[INFO]    \- org.apache.curator:curator-framework:jar:2.6.0:compile
[INFO] +- org.apache.hadoop:hadoop-common:jar:2.6.0:compile
[INFO]    +- org.apache.hadoop:hadoop-annotations:jar:2.6.0:compile
[INFO]       \- jdk.tools:jdk.tools:jar:1.6:system
[INFO]    +- org.apache.commons:commons-math3:jar:3.1.1:compile
[INFO]    +- commons-httpclient:commons-httpclient:jar:3.1:compile
[INFO]    +- commons-net:commons-net:jar:3.1:compile
[INFO]    +- commons-collections:commons-collections:jar:3.2.1:compile
[INFO]    +- com.sun.jersey:jersey-json:jar:1.9:compile
[INFO]       +- org.codehaus.jettison:jettison:jar:1.1:compile
[INFO]       +- com.sun.xml.bind:jaxb-impl:jar:2.2.3-1:compile
[INFO]          \- javax.xml.bind:jaxb-api:jar:2.2.2:compile
[INFO]             +- javax.xml.stream:stax-api:jar:1.0-2:compile
[INFO]             \- javax.activation:activation:jar:1.1:compile
[INFO]       +- org.codehaus.jackson:jackson-jaxrs:jar:1.8.3:compile
[INFO]       \- org.codehaus.jackson:jackson-xc:jar:1.8.3:compile
[INFO]    +- net.java.dev.jets3t:jets3t:jar:0.9.0:compile
[INFO]       \- com.jamesmurty.utils:java-xmlbuilder:jar:0.4:compile
[INFO]    +- commons-configuration:commons-configuration:jar:1.6:compile
[INFO]       +- commons-digester:commons-digester:jar:1.8:compile
[INFO]          \- commons-beanutils:commons-beanutils:jar:1.7.0:compile
[INFO]       \- commons-beanutils:commons-beanutils-core:jar:1.8.0:compile
[INFO]    +- org.apache.avro:avro:jar:1.7.4:compile
[INFO]       +- com.thoughtworks.paranamer:paranamer:jar:2.3:compile
[INFO]       \- org.xerial.snappy:snappy-java:jar:1.0.4.1:compile
[INFO]    +- com.google.code.gson:gson:jar:2.2.4:compile
[INFO]    +- com.jcraft:jsch:jar:0.1.42:compile
[INFO]    +- org.apache.curator:curator-client:jar:2.6.0:compile
[INFO]    +- org.apache.curator:curator-recipes:jar:2.6.0:compile
[INFO]    +- com.google.code.findbugs:jsr305:jar:1.3.9:compile
[INFO]    \- org.apache.commons:commons-compress:jar:1.4.1:compile
[INFO]       \- org.tukaani:xz:jar:1.0:compile
[INFO] +- org.apache.hadoop:hadoop-core:jar:1.2.1:compile
[INFO]    +- org.apache.commons:commons-math:jar:2.1:compile
[INFO]    +- tomcat:jasper-compiler:jar:5.5.23:compile
[INFO]    +- org.mortbay.jetty:jsp-api-2.1:jar:6.1.14:compile
[INFO]       \- org.mortbay.jetty:servlet-api-2.5:jar:6.1.14:compile
[INFO]    +- org.mortbay.jetty:jsp-2.1:jar:6.1.14:compile
[INFO]       \- ant:ant:jar:1.6.5:compile
[INFO]    +- commons-el:commons-el:jar:1.0:compile
[INFO]    +- hsqldb:hsqldb:jar:1.8.0.10:compile
[INFO]    +- oro:oro:jar:2.0.8:compile
[INFO]    \- org.eclipse.jdt:core:jar:3.1.1:compile
So the first step for packaging Hadoop would be to check which of these dependencies are not yet packaged in Debian... I guess 1/3 is not.
Maybe, we should just rip out some of these dependencies with a cluebat. For the stupid reason of making a webfrontend (which doesn't provide a lot of functionality, and I doubt many people use it at all), Hadoop embeds not just one web server, but two: Jetty and Netty...
Things would also be easier if e.g. S3 support, htrace, the web frontend, and different data serializations were properly put into modules. Then you could postpose S3 support, for example.
As I said, the deeper you dig, the crazier it gets.
If the OpenDataPlatform efforts of Hortonworks, Pivotal and IBM were anything but a marketing gag, they would try to address these technical issues. Instead, they make things worse by specifying yet another fatter core, including Ambari, Apaches attempt to automatically make a mess out of your servers - essentially, they are now adding the ultimate root shell, for all those cases where unaudited puppet commands and "curl sudo bash" was not bad enough:
Example:
  command1 = as_sudo(["cat,"/etc/passwd"]) + "   grep user"
(from the Ambari python documentation)
The closer you look, the more you want to rather die than use this.
P.S. I have updated the libtrove3-java package (Java collections for primitive types; but no longer the fastest such library), so that it is now in the local maven repository (/usr/share/maven-repo) and that it can be rebuilt reproducible (the build user name is no longer in the jar manifest).

2 May 2015

Neil Williams: vmextract userspace VM helper

In my previous post, I covered how to extend an initramfs to serve as a basis for tests and other purposes. In that example, the initramfs was simply copied off a device after installation. It occurred to me that python-guestfs would be a useful tool to make this step easier. So I ve written the vmextract helper which is currently in the vmdebootstrap upstream git and will make it into the next release of vmdebootstrap for Debian (0.7). Once vmdebootstrap has built an image, various files can be generated or modified during the install operations and some of these files can be useful when testing the image or packages which would be included in an updated image, before release. One example is the initrd built by the process of installing a Debian kernel. Rather than having to mount the image and copy the files manually, the vmextract helper can do it for you, without needing root privileges or any special setup.
$ /usr/share/vmdebootstrap/vmextract.py --verbose --boot \
  --image bbb/bbb-debian-armmp.img \
  --path /boot/initrd.img-3.14-2-armmp \
  --path /lib/arm-linux-gnueabihf/libresolv.so.2
This uses python-guestfs (which will become a Recommended package for vmdebootstrap) to prepare a read-only version of the image in this case with the /boot partition also mounted and copies files out into the current working directory. Note the repeating use of --path to build a list of files to be copied out. To copy out an entire directory (and all sub-directories) as a single tarball, use:
$ /usr/share/vmdebootstrap/vmextract.py --verbose --boot \
  --image bbb/bbb-debian-armmp.img \
  --directory /boot/ \
  --filename bbb-armmp-boot.tgz
If --filename is not specified, the default filename is vmextract.tgz. (vmextract uses gzip compression, just because.) The other point to note is the use of the --boot option to mount the /boot partition as well as the root partition of the image as this example uses the beaglebone-black support which has a boot partition. It s just a little helper which I hope will prove useful if only to avoid both the need for sudo and the need for loopback mount operations with the inherent confusion of calculating offsets. Thanks to the developers of python-guestfs for making this workable in barely 100 lines of python. It uses the same cliapp support as vmdebootstrap, so can be used silently in scripts by omitting the --verbose option. I haven t taken this on to the next step of unpacking the initrd and extending it, but that would just a bit of shell scripting using the files extracted by vmextract.py. Next! Next on the list will be extensions to vmdebootstrap to build live images of Debian, essentially adding Debian Installer to a vmdebootstrap image, which could actually be another python-guestfs helper (mounting read-write this time) to avoid adding lots more code to vmdebootstrap (which has grown to nearly 600 lines of python). That way, we can publish the bare VM images as well as a live conversion and reducing the number of times debootstrap needs to be called.

1 May 2015

Clint Adams: This is an example of fair use.

New month, new life.

Petter Reinholdtsen: What would it cost to store all phone calls in Norway?

Many years ago, a friend of mine calculated how much it would cost to store the sound of all phone calls in Norway, and came up with the cost of around 20 million NOK (2.4 mill EUR) for all the calls in a year. I got curious and wondered what the same calculation would look like today. To do so one need an idea of how much data storage is needed for each minute of sound, how many minutes all the calls in Norway sums up to, and the cost of data storage. The 2005 numbers are from digi.no, the 2012 numbers are from a NKOM report, and I got the 2013 numbers after asking NKOM via email. I was told the numbers for 2014 will be presented May 20th, and decided not to wait for those, as I doubt they will be very different from the numbers from 2013. The amount of data storage per minute sound depend on the wanted quality, and for phone calls it is generally believed that 8 Kbit/s is enough. See for example a summary on voice quality from Cisco for some alternatives. 8 Kbit/s is 60 Kbytes/min, and this can be multiplied with the number of call minutes to get the storage requirements. Storage prices varies a lot, depending on speed, backup strategies, availability requirements etc. But a simple way to calculate can be to use the price of a TiB-disk (around 1000 NOK / 120 EUR) and double it to take space, power and redundancy into account. It could be much higher with high speed and good redundancy requirements. But back to the question, What would it cost to store all phone calls in Norway? Not much. Here is a small table showing the estimated cost, which is within the budget constraint of most medium and large organisations:
YearCall minutesSizePrice in NOK / EUR
200524 000 000 0001.3 PiB3 mill / 358 000
201218 000 000 0001.0 PiB2.2 mill / 262 000
201317 000 000 000950 TiB2.1 mill / 250 000
This is the cost of buying the storage. Maintenance need to be taken into account too, but calculating that is left as an exercise for the reader. But it is obvious to me from those numbers that recording the sound of all phone calls in Norway is not going to be stopped because it is too expensive. I wonder if someone already is collecting the data?

Lisandro Damián Nicanor Pérez Meyer: Qt4's status and Qt4's webkit removal in Stretch

Hi everyone! As you might know Qt4 has been deprecated (in the sense "you better start to port your code") since Qt5's first release in December 19th 2012. Since that point on Qt4 received only bugfixes. Upstream is about to release the last point release, 4.8.7. This means that only severe bugs like security ones will get a chance to get solved.

Moreover upstream recommended keeping Qt4 until 2017. If we get a Debian release every 2 years that will make Jessie oldstable in 2017 and deprecated in 2018. This means we should really consider starting to port code using Qt4 to Qt5 during Stretch's developing life cycle.

It is important to note that Qt4 depends on a number of dependencies that their maintainers might want to get removed from the archive for similar reasons. In this case we will simply don't hesitate in removing their support as long as Qt4 keeps building. This normally doesn't mean API/ABI breakage but missing plugins that will diminish functionality from your apps, maybe even key ones. As an example let's take the **hypothetical** case in which the libasound2 maintainers are switching to a new libasound3 which is not API-compatible and removing libasound2 in the process. In this case we will have no choice but to remove the dependency and drop the functionality it provides. This is another of the important reasons why you should be switching to Qt5.

Qt4's webkit removalWebkit is definitely not an easy piece of code to maintain. For starters it means having a full copy of the code in the archive for both Qt4 and Qt5. Now add to that the fact that the code evolves quickly and thus having upstream support even for security bugs will be getting harder and harder. So we decided to remove Qt4's webkit from the archive. Of course we still have a lot of KDE stuff using Qt4's webkit, so it won't disappear "soon", but it will at some point.

PortingSome of us where involved in various Qt4 to Qt5 migrations [0] and we know for sure that porting stuff from Qt4 to Qt5 is much much easier and less painful than it was from Qt3 to Qt4.

We also understand that there is still a lot of software still using Qt4. In order to ease the transition time we have provided Wheezy backports for Qt5.

Don't forget to take a look at the C++ API changes page [1] whenever you start porting your application.

[0] http://pkg-kde.alioth.debian.org/packagingqtstuff.html
[1] http://doc.qt.io/qt-5/sourcebreaks.html

Temporarily shipping both Qt4 and Qt5 builds of your libraryIn case you maintain a library chances are that upstream already provides a way to build it using Qt5. Please note there is no point in shipping an application built with both flavours, please use Qt5 whenever possible. This double compilation should be left only for libraries.

You can't mix Qt4 and Qt5 in the same binary, but you may provide libraries compiled against one or the other. For example, your source package foo could provide both libqt4foo1 and libqt5foo1. You need to mangle your debian/rules and/or build system accordingly to achieve this.

A good example both for upstream code allowing both styles of compilation and debian packaging is phonon. Take a look at the CMakeLists.txt files for seeing how a source can be built against both flavours and another to debian/rules to see an example of how to handle the compilation. Just bear in mind that you
need to replace $(overridden_command) with the command itself, that variable substitution comes from internal stuff from our team and you should not be using it without a very good reason. If in doubt, feel free to ask us on IRC [2] or on the mailing list [3].

[2] irc.debian.org #debian-kde
[3] debian-kde@lists.debian.org

TimelineWe plan to start filing wishlist bugs soon. Once we get most of KDE stuff running with Qt5's webkit we will start raising the severities.

29 April 2015

Dirk Eddelbuettel: RcppTOML 0.0.3: A New Approach to Configuration Files

A small project I worked on during the last few weeks has now come together in new package RcppTOML which arrived on CRAN yesterday. It provides R with a reader for TOML files. TOML stands for Tom's Obvious Markup Language. And before you roll your eyes, glance at the TOML site. It really is different, and has a number of rather wonderful features: Here is a simple illustration where we parse the TOML example file derived from what is part of the main TOML README
R> p <- parseTOML(system.file("toml", "example.toml", package="RcppTOML"))
R> summary(p)
toml object with top-level slots:
   clients, database, owner, servers, title 
read from /usr/local/lib/R/site-library/RcppTOML/toml/example.toml 
R> p
List of 5
 $ clients :List of 2
  ..$ data :List of 2
  .. ..$ : chr [1:2] "gamma" "delta"
  .. ..$ : int [1:2] 1 2
  ..$ hosts: chr [1:2] "alpha" "omega"
 $ database:List of 4
  ..$ connection_max: int 5000
  ..$ enabled       : logi TRUE
  ..$ ports         : int [1:3] 8001 8001 8002
  ..$ server        : chr "192.168.1.1"
 $ owner   :List of 4
  ..$ bio         : chr "GitHub Cofounder & CEO\\nLikes tater tots and beer."
  ..$ dob         : POSIXct[1:1], format: "1979-05-27 07:32:00"
  ..$ name        : chr "Tom Preston-Werner"
  ..$ organization: chr "GitHub"
 $ servers :List of 2
  ..$ alpha:List of 2
  .. ..$ dc: chr "eqdc10"
  .. ..$ ip: chr "10.0.0.1"
  ..$ beta :List of 2
  .. ..$ dc: chr "eqdc10"
  .. ..$ ip: chr "10.0.0.2"
 $ title   : chr "TOML Example"
NULL
R> 
See much more at the TOML site. I converted one first project at work to this and it really rocks. Point to a file, get a list back and index all components by their names. We also added really simple S3 classes to the default print() method uses str() for a more compact presentation of what (in R) is of course nested list types. Internally, the RcppTOML packages use the splendid cpptoml parser by Chase Geigle. This brings in modern C++11 and makes it that CRAN simply cannot build a binary for R on Windows as the g++ version (still, as of April 2015) in Rtools is too old. There is word of an update to Rtools and that point should we able to support Windows as well. Until then, no mas. A bit more information is on the package page here as well as as the GitHub repo.

This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. Please report excessive re-aggregation in third-party for-profit settings.

28 April 2015

Craig Small: Backporting and git-buildpackage

For working with Debian packages, one method of maintaining them is to put them in git and use git-buildpackage to build them right out of the git repository. There are a few pitfalls with it, notably around if you forget to import the upstream you get this strange treeish related error which still throws me at first when I see it. Part of maintaining packages is to be able to fix security bugs in older versions of them that are found in stable and even sometimes old stable (jessie and wheezy respectively at the time of writing). At first I used to do this outside git because to me there wasn t a clear way of doing it within it. This is not too satisfactory because it means you lose the benefits of using git in the first place, and for distributions you are more likely to need collaboration with, such as working with the security team or help with backporting. So because I don t think the details are easily found and also I ll probably lose them again and need a central spot to find what I did last time. Building the environment The first step for a new distribution is to create the building environment. You really only need to do this once when there is a new distribution with then possibly some updates from time to time. The command will create the environment in /var/cache/pbuilder/base-DIST.cow/
DIST=wheezy git-pbuilder create
You will find all the files in /var/cache/pbuilder/base-wheezy.cow/ which is then ready to do be used. For more information about this useful tool, look at the git-builder entry on the Debian wiki. Creating the branch The master branch is generally where sid will located. For the other distributions, I use branches. For the initial setup you will need to create the branch and start it off from the right point. For example, the last non-security update for wordpress in jessie was version 4.1+dfsg-1. We then want the jessie branch to start from this point.
git branch jessie debian/4.1+dfsg-1
git checkout jessie
This will then create and put you on the jessie branch. You only need the first line once. You can switch between sid (master branch) and jessie (jessie branch). At this point you have a working place to make all the updates you need to do. Nothing is terribly different from the usual workflow. Building the package Make sure you have checked in all your changes and now it is time to build your package!
git-buildpackage --git-pbuilder --git-dist=jessie --git-debian-branch=jessie
You may need two additional flags:

27 April 2015

Steve Kemp: Validating puppet manifests via git hooks.

It looks like I'll be spending a lot of time working with puppet over the coming weeks. I've setup some toy deployments on virtual machines, and have converted several of my own hosts to using it, rather than my own slaughter system. When it comes to puppet some things are good, and some things are bad, as exected, and as any similar tool (even my own). At the moment I'm just aiming for consistency and making sure I can control all the systems - BSD, Debian GNU/Linux, Ubuntu, Microsoft Windows, etc. Little changes are making me happy though - rather than using a local git pre-commit hook to validate puppet manifests I'm now doing that checking on the server-side via a git pre-receive hook. Doing it on the server-side means that I can never forget to add the local hook and future-colleagues can similarly never make this mistake, and commit malformed puppetry. It is almost a shame there isn't a decent collection of example git-hooks, for doing things like this puppet-validation. Maybe there is and I've missed it.
It only crossed my mind because I've had to write several of these recently - a hook to rebuild a static website when the repository has a new markdown file pushed to it, a hook to validate syntax when pushes are attempted, and another hook to deny updates if the C-code fails to compile.

26 April 2015

Erich Schubert: Your big data toolchain is a big security risk!

This post is a follow-up to my earlier post on the "sad state of sysadmin in the age of containers". While I was drafting this post, that story got picked up by HackerNews, Reddit and Twitter, sending a lot of comments and emails my way. Surprisingly many of the comments are supportive of my impression - I would have expected to see much more insults along the lines "you just don't like my-favorite-tool, so you rant against using it". But a lot of people seem to share my concerns. Thanks, you surprised me!
Here is the new rant post, in the slightly different context of big data:

Everybody is doing "big data" these days. Or at least, pretending to do so to upper management. A lot of the time, there is no big data. People do more data anylsis than before, and therefore stick the "big data" label on them to promote themselves and get green light from management, isn't it?
"Big data" is not a technical term. It is a business term, referring to any attempt to get more value out of your business by analyzing data you did not use before. From this point of view, most of such projects are indeed "big data" as in "data-driven revenue generation" projects. It may be unsatisfactory to those interested in the challenges of volume and the other "V's", but this is the reality how the term is used.
But even in those cases where the volume and complexity of the data would warrant the use of all the new toys tools, people overlook a major problem: security of their systems and of their data.

The currently offered "big data technology stack" is all but secure. Sure, companies try to earn money with security add-ons such as Kerberos authentication to sell multi-tenancy, and with offering their version of Hadoop (their "Hadoop distribution").
The security problem is deep inside the "stack". It comes from the way this world ticks: the world of people that constantly follow the latest tool-of-the-day. In many of the projects, you no longer have mostly Linux developers that co-function as system administrators, but you see a lot of Apple iFanboys now. They live in a world where technology is outdated after half a year, so you will not need to support product longer than that. They love reinstalling their development environment frequently - because each time, they get to change something. They also live in a world where you would simply get a new model if your machine breaks down at some point. (Note that this will not work well for your big data project, restarting it from scratch every half year...)
And while Mac users have recently been surprisingly unaffected by various attacks (and unconcerned about e.g. GoToFail, or the fail to fix the rootpipe exploit) the operating system is not considered to be very secure. Combining this with users who do not care is an explosive mixture...
This type of developer, who is good at getting a prototype website for a startup kicking in a short amount of time, rolling out new features every day to beta test on the live users is what currently makes the Dotcom 2.0 bubble grow. It's also this type of user that mainstream products aim at - he has already forgotten what was half a year ago, but is looking for the next tech product to announced soon, and willing to buy it as soon as it is available...
This attitude causes a problem at the very heart of the stack: in the way packages are built, upgrades (and safety updates) are handled etc. - nobody is interested in consistency or reproducability anymore.
Someone commented on my blog that all these tools "seem to be written by 20 year old" kids. He probably is right. It wouldn't be so bad if we had some experienced sysadmins with a cluebat around. People that have experience on how to build systems that can be maintained for 10 years, and securely deployed automatically, instead of relying on puppet hacks, wget and unzipping of unsigned binary code.
I know that a lot of people don't want to hear this, but:
Your Hadoop system contains unsigned binary code in a number of places, that people downloaded, uploaded and redownloaded a countless number of times. There is no guarantee that .jar ever was what people think it is.
Hadoop has a huge set of dependencies, and little of this has been seriously audited for security - and in particular not in a way that would allow you to check that your binaries are built from this audited code anyway.
There might be functionality hidden in the code that just sits there and waits for a system with a hostname somewhat like "yourcompany.com" to start looking for its command and control server to steal some key data from your company. The way your systems are built they probably do not have much of a firewall guarding against such. Much of the software may be constantly calling home, and your DevOps would not notice (nor would they care, anyway).
The mentality of "big data stacks" these days is that of Windows Shareware in the 90s. People downloading random binaries from the Internet, not adequately checked for security (ever heard of anybody running an AntiVirus on his Hadoop cluster?) and installing them everywhere.
And worse: not even keeping track of what they installed over time, or how. Because the tools change every year. But what if that developer leaves? You may never be able to get his stuff running properly again!
Fire-and-forget.
I predict that within the next 5 years, we will have a number of security incidents in various major companies. This is industrial espionage heaven. A lot of companies will cover it up, but some leaks will reach mass media, and there will be a major backlash against this hipster way of stringing together random components.
There is a big "Hadoop bubble" growing, that will eventually burst.
In order to get into a trustworthy state, the big data toolchain needs to:
  • Consolidate. There are too many tools for every job. There are even too many tools to manage your too many tools, and frontends for your frontends.
  • Lose weight. Every project depends on way too many other projects, each of which only contributes a tiny fragment for a very specific use case. Get rid of most dependencies!
  • Modularize. If you can't get rid of a dependency, but it is still only of interest to a small group of users, make it an optional extension module that the user only has to install if he needs this particular functionality.
  • Buildable. Make sure that everybody can build everything from scratch, without having to rely on Maven or Ivy or SBT downloading something automagically in the background. Test your builds offline, with a clean build directory, and document them! Everything must be rebuildable by any sysadmin in a reproducible way, so he can ensure a bug fix is really applied.
  • Distribute. Do not rely on binary downloads from your CDN as sole distribution channel. Instead, encourage and support alternate means of distribution, such as the proper integration in existing and trusted Linux distributions.
  • Maintain compatibility. successful big data projects will not be fire-and-forget. Eventually, they will need to go into production and then it will be necessary to run them over years. It will be necessary to migrate them to newer, larger clusters. And you must not lose all the data while doing so.
  • Sign. Code needs to be signed, end-of-story.
  • Authenticate. All downloads need to come with a way of checking the downloaded files agree with what you uploaded.
  • Integrate. The key feature that makes Linux systems so very good at servers is the all-round integrated software management. When you tell the system to update - and you have different update channels available, such as a more conservative "stable/LTS" channel, a channel that gets you the latest version after basic QA, and a channel that gives you the latest versions shortly after their upload to help with QA. It covers almost all software on your system, so it does not matter whether the security fix is in your kernel, web server, library, auxillary service, extension module, scripting language etc. - it will pull this fix and update you in no time.
Now you may argue that Hortonworks, Cloudera, Bigtop etc. already provide packages. Well ... they provide crap. They have something they call a "package", but it fails by any quality standards. Technically, a Wartburg is a car; but not one that would pass todays safety regulations...
For example, they only support Ubuntu 12.04 - a three year old Ubuntu is the latest version they support... Furthermore, these packages are roughly the same. Cloudera eventually handed over their efforts to "the community" (in other words, they gave up on doing it themselves, and hoped that someone else would clean up their mess); and Hortonworks HDP (any maybe Pivotal HD, too) is derived from these efforts, too. Much of what they do is offering some extra documentation and training for the packages they built using Bigtop with minimal effort.
The "spark" .deb packages of Bigtop, for example, are empty. They forgot to include the .jars in the package. Do I really need to give more examples of bad packaging decisions? All bigtop packages now depend on their own version of groovy - for a single script. Instead of rewriting this script in an already required language - or in a way that it would run on the distribution-provided groovy version - they decided to make yet another package, bigtop-groovy.
When I read about Hortonworks and IBM announcing their "Open Data Platform", I could not care less. As far as I can tell, they are only sticking their label on the existing tools anyway. Thus, I'm also not surprised that Cloudera and MapR do not join this rebranding effort - given the low divergence of Hadoop, who would need such a label anyway?
So why does this matter? Essentially, if anything does not work, you are currently toast. Say there is a bug in Hadoop that makes it fail to process your data. Your business is belly-up because of that, no data is processed anymore, your are vegetable. Who is going to fix it? All these "distributions" are built from the same, messy, branch. There is probably only a dozen of people around the world who have figured this out well enough to be able to fully build this toolchain. Apparently, none of the "Hadoop" companies are able to support a newer Ubuntu than 2012.04 - are you sure they have really understood what they are selling? I have doubts. All the freelancers out there, they know how to download and use Hadoop. But can they get that business-critical bug fix into the toolchain to get you up and running again? This is much worse than with Linux distributions. They have build daemons - servers that continuously check they can compile all the software that is there. You need to type two well-documented lines to rebuild a typical Linux package from scratch on your workstation - any experienced developer can follow the manual, and get a fix into the package. There are even people who try to recompile complete distributions with a different compiler to discover compatibility issues early that may arise in the future.
In other words, the "Hadoop distribution" they are selling you is not code they compiled themselves. It is mostly .jar files they downloaded from unsigned, unencrypted, unverified sources on the internet. They have no idea how to rebuild these parts, who compiled that, and how it was built. At most, they know for the very last layer. You can figure out how to recompile the Hadoop .jar. But when doing so, your computer will download a lot of binaries. It will not warn you of that, and they are included in the Hadoop distributions, too.
As is, I can not recommend to trust your business data into Hadoop.
It is probably okay to copy the data into HDFS and play with it - in particular if you keep your cluster and development machines isolated with strong firewalls - but be prepared to toss everything and restart from scratch. It's not ready yet for prime time, and as they keep on adding more and more unneeded cruft, it does not look like it will be ready anytime soon.

One more examples of the immaturity of the toolchain:
The scala package from scala-lang.org cannot be cleanly installed as an upgrade to the old scala package that already exists in Ubuntu and Debian (and the distributions seem to have given up on compiling a newer Scala due to a stupid Catch-22 build process, making it very hacky to bootstrap scala and sbt compilation).
And the "upstream" package also cannot be easily fixed, because it is not built with standard packaging tools, but with an automagic sbt helper that lacks important functionality (in particular, access to the Replaces: field, or even cleaner: a way of splitting the package properly into components) instead - obviously written by someone with 0 experience in packaging for Ubuntu or Debian; and instead of using the proven tools, he decided to hack some wrapper that tries to automatically do things the wrong way...

I'm convinced that most "big data" projects will turn out to be a miserable failure. Either due to overmanagement or undermanagement, and due to lack of experience with the data, tools, and project management... Except that - of course - nobody will be willing to admit these failures. Since all these projects are political projects, they by definition must be successful, even if they never go into production, and never earn a single dollar.

Patrick Schoenfeld: Sharing code between puppet providers

So you ve written that custom puppet type for something and start working on another puppet type in the same module. What if you needed to share some code between this types? Is there a way of code-reuse that works with the plugin sync mechanism? Yes, there is. Puppet even has two possible ways of sharing code between types. Option #1: a shared base provider A provider in puppet is basically a class associated with a certain (puppet) type and there can be a lot providers for a single type (just look at the package provider!). It seems quiet natural, that it s possible to define a parent class for those providers. So natural, that even the official puppet documentation writes about it. Option #2: Shared libraries The second option is a shared library, shipped in a certain namespace in the lib directory of the module, whereas the idea is mostly sketched in the feature ticket #14149. Basically one defines a class in the special Puppetx namespace, using the author- and module-name in the class name, in order to avoid conflicts with other modules.
require 'puppetx'
module Puppetx::<Author>
  module Puppetx::<Author>::<Modulename>
   ... your helper functions go here ...
  end
end
This example would be saved to
lib/<author>/<modulename>
in your module s folder and be included in your provider with something along the following:
require 
  File.expand_path(File.join(File.dirname(__FILE__), "..", "..", "..",
    "puppet_x", "<author>", "<modulename>.rb"))
Compatibility with Puppet 4: In puppet 4 the name of the namespace has changed slightly. It s now called PuppetX instead of Puppetx and is stored in a file puppet_x.rb , which means that the require and the module name itself need to be changed:
require 'puppet_x'
module PuppetX::<authorname>
  module PuppetX::<authorname>::<modulename>
For backward compatibility with puppet 3 you could instead add something like this, according to my co-worker mxey, who knows way more about ruby then I do:
module PuppetX
 module <Author>
 <Modulename> = Puppetx::<Authorname>::<Modulename>
 end
end
Apart from this you d need to change the require to be conditional on the puppet-version and refer to the module by the aliased version (which is left as an exercise for the reader ;))

25 April 2015

Jonathan McCrohan: New packages in Debian 8.0 Jessie

[I liked the #newinwheezy effort for the last Debian release, so I tipped Mika off about it again this time] A short post about what is #newinjessie, Debian's new 8.0 Jessie release. See Mika's debian-devel post for more information. For this release cycle, I have uploaded two new packages: I've also have taken over as (co-)maintainer of some existing packages during this release cycle: I've updated nearly all of my existing packages during this release cycle: The following package received no updates during this release cycle due to a combination of no upstream releases and the existing package already being in good shape: I hope you find them useful. Enjoy!

24 April 2015

Richard Hartmann: Release Critical Bug report for Week 17

At the current rate, Jessie should release... tomorrow! :) The UDD bugs interface currently knows about the following release critical bugs: How do we compare to the Squeeze and Wheezy release cycles?
Week Squeeze Wheezy Jessie
43 284 (213+71) 468 (332+136) 319 (240+79)
44 261 (201+60) 408 (265+143) 274 (224+50)
45 261 (205+56) 425 (291+134) 295 (229+66)
46 271 (200+71) 401 (258+143) 427 (313+114)
47 283 (209+74) 366 (221+145) 342 (260+82)
48 256 (177+79) 378 (230+148) 274 (189+85)
49 256 (180+76) 360 (216+155) 226 (147+79)
50 204 (148+56) 339 (195+144) ???
51 178 (124+54) 323 (190+133) 189 (134+55)
52 115 (78+37) 289 (190+99) 147 (112+35)
1 93 (60+33) 287 (171+116) 140 (104+36)
2 82 (46+36) 271 (162+109) 157 (124+33)
3 25 (15+10) 249 (165+84) 172 (128+44)
4 14 (8+6) 244 (176+68) 187 (132+55)
5 2 (0+2) 224 (132+92) 175 (124+51)
6 release! 212 (129+83) 161 (109+52)
7 release+1 194 (128+66) 147 (106+41)
8 release+2 206 (144+62) 147 (96+51)
9 release+3 174 (105+69) 152 (101+51)
10 release+4 120 (72+48) 112 (82+30)
11 release+5 115 (74+41) 97 (68+29)
12 release+6 93 (47+46) 87 (71+16)
13 release+7 50 (24+26) 97 (77+20)
14 release+8 51 (32+19) ???
15 release+9 39 (32+7) 82 (49+17)
16 release+10 20 (12+8) 53 (49+4)
17 release+11 24 (19+5) 66 (57+9)
18 release+12 2 (2+0)
Graphical overview of bug stats thanks to azhag:

22 April 2015

Jonathan Wiltshire: Jessie Countdown: 3

Three is the new number for continuing oldstable security support: thanks to the efforts of those behind the Long-Term Support initiative, the full stable lifecycle of a release has therefore become five years (source: https://www.debian.org/News/2014/20140424). Where do those numbers come from? 2 years as stable, 1 year overlap support as oldstable, plus 2 new years under LTS = 5 years. Having been successful for Squeeze (6), LTS is widely anticipated to follow a similar pattern for Wheezy (7) and Jessie (8) for the same lifetimes. Some reduction in coverage is unavoidable (for example, Squeeze only covers the most popular amd64 and i386 architectures), but for a majority of users this reduces the need to follow a three-year upgrade cycle invaluable when you are managing hundreds or thousands of servers and can t achieve that in a single year.
Jessie Countdown: 3 is a post from: jwiltshire.org.uk Flattr

Riku Voipio: Fastest way to change running dtb

Tollef posted about using BeagleBone Black for temperature monitoring. There was a passage about patching the DTB (device tree) file:
... This needs to be compiled into a .dtb. I found the easiest way was just to drop the patched .dts into an unpacked kernel tree and then running make dtbs.
There are easier ways. For example, you can get the current device tree file generated from /proc:

apt-get install device-tree-compiler
dtc -I fs -O dts -o current.dts /proc/device-tree/
(Why /proc and not /sys ? because device tree predates /sys) Now you can just modify and build the dtb again, and install it back to where bootloader reads the dtb from:

vim current.dts
dtc -I dts -O dtb -o new.dtb current.dts
Alternative, of course, is to build a brand new mainline kernel and use the dynamic Device tree code now available.

21 April 2015

Julien Danjou: Gnocchi 1.0: storing metrics and resources at scale

A few months ago, I wrote a long post about what I called back then the "Gnocchi experiment". Time passed and we me and the rest of the Gnocchi team continued to work on that project, finalizing it. It's with a great pleasure that we are going to release our first 1.0 version this month, roughly at the same time that the integrated OpenStack projects release their Kilo milestone. The first release candidate numbered 1.0.0rc1 has been released this morning! The problem to solve Before I dive into Gnocchi details, it's important to have a good view of what problems Gnocchi is trying to solve. Most of the IT infrastructures out there consists of a set of resources. These resources have properties: some of them are simple attributes whereas others might be measurable quantities (also known as metrics). And in this context, the cloud infrastructures make no exception. We talk about instances, volumes, networks which are all different kind of resources. The problems that are arising with the cloud trend is the scalability of storing all this data and being able to request them later, for whatever usage. What Gnocchi provides is a REST API that allows the user to manipulate resources (CRUD) and their attributes, while preserving the history of those resources and their attributes. Gnocchi is fully documented and the documentation is available online. We are the first OpenStack project to require patches to integrate the documentation. We want to raise the bar, so we took a stand on that. That's part of our policy, the same way it's part of the OpenStack policy to require unit tests. I'm not going to paraphrase the whole Gnocchi documentation, which covers things like installation (super easy), but I'll guide you through some basics of the features provided by the REST API. I will show you some example so you can have a better understanding of what you could leverage using Gnocchi! Handling metrics Gnocchi provides a full REST API to manipulate time-series that are called metrics. You can easily create a metric using a simple HTTP request:
POST /v1/metric HTTP/1.1
Content-Type: application/json


"archive_policy_name": "low"


HTTP/1.1 201 Created
Location: http://localhost/v1/metric/387101dc-e4b1-4602-8f40-e7be9f0ed46a
Content-Type: application/json; charset=UTF-8


"archive_policy":
"aggregation_methods": [
"std",
"sum",
"mean",
"count",
"max",
"median",
"min",
"95pct"
],
"back_window": 0,
"definition": [

"granularity": "0:00:01",
"points": 3600,
"timespan": "1:00:00"
,

"granularity": "0:30:00",
"points": 48,
"timespan": "1 day, 0:00:00"

],
"name": "low"
,
"created_by_project_id": "e8afeeb3-4ae6-4888-96f8-2fae69d24c01",
"created_by_user_id": "c10829c6-48e2-4d14-ac2b-bfba3b17216a",
"id": "387101dc-e4b1-4602-8f40-e7be9f0ed46a",
"name": null,
"resource_id": null


The archive_policy_name parameter defines how the measures that are being sent are going to be aggregated. You can also define archive policies using the API and specify what kind of aggregation period and granularity you want. In that case , the low archive policy keeps 1 hour of data aggregated over 1 second and 1 day of data aggregated to 30 minutes. The functions used for aggregations are the mathematical functions standard deviation, minimum, maximum, and even 95th percentile. All of that is obviously customizable and you can create your own archive policies. If you don't want to specify the archive policy manually for each metric, you can also create archive policy rule, that will apply a specific archive policy based on the metric name, e.g. metrics matching disk.* will be high resolution metrics so they will use the high archive policy. It's also worth noting Gnocchi is precise up to the nanosecond and is not tied to the current time. You can manipulate and inject measures that are years old and precise to the nanosecond. You can also inject points with old timestamps (i.e. old compared to the most recent one in the timeseries) with an archive policy allowing it (see back_window parameter). It's then possible to send measures to this metric:
POST /v1/metric/387101dc-e4b1-4602-8f40-e7be9f0ed46a/measures HTTP/1.1
Content-Type: application/json

[

"timestamp": "2014-10-06T14:33:57",
"value": 43.1
,

"timestamp": "2014-10-06T14:34:12",
"value": 12
,

"timestamp": "2014-10-06T14:34:20",
"value": 2

]

HTTP/1.1 204 No Content

These measures are synchronously aggregated and stored into the configured storage backend. Our most scalable storage drivers for now are either based on Swift or Ceph which are both scalable storage objects systems. It's then possible to retrieve these values:
GET /v1/metric/387101dc-e4b1-4602-8f40-e7be9f0ed46a/measures HTTP/1.1

HTTP/1.1 200 OK
Content-Type: application/json; charset=UTF-8

[
[
"2014-10-06T14:30:00.000000Z",
1800.0,
19.033333333333335
],
[
"2014-10-06T14:33:57.000000Z",
1.0,
43.1
],
[
"2014-10-06T14:34:12.000000Z",
1.0,
12.0
],
[
"2014-10-06T14:34:20.000000Z",
1.0,
2.0
]
]

As older Ceilometer users might notice here, metrics are only storing points and values, nothing fancy such as metadata anymore. By default, values eagerly aggregated using mean are returned for all supported granularities. You can obviously specify a time range or a different aggregation function using the aggregation, start and stop query parameter. Gnocchi also supports doing aggregation across aggregated metrics:
GET /v1/aggregation/metric?metric=65071775-52a8-4d2e-abb3-1377c2fe5c55&metric=9ccdd0d6-f56a-4bba-93dc-154980b6e69a&start=2014-10-06T14:34&aggregation=mean HTTP/1.1

HTTP/1.1 200 OK
Content-Type: application/json; charset=UTF-8

[
[
"2014-10-06T14:34:12.000000Z",
1.0,
12.25
],
[
"2014-10-06T14:34:20.000000Z",
1.0,
11.6
]
]

This computes the mean of mean for the metric 65071775-52a8-4d2e-abb3-1377c2fe5c55 and 9ccdd0d6-f56a-4bba-93dc-154980b6e69a starting on 6th October 2014 at 14:34 UTC. Indexing your resources Another object and concept that Gnocchi provides is the ability to manipulate resources. There is a basic type of resource, called generic, which has very few attributes. You can extend this type to specialize it, and that's what Gnocchi does by default by providing resource types known for OpenStack such as instance, volume, network or even image.
POST /v1/resource/generic HTTP/1.1

Content-Type: application/json


"id": "75C44741-CC60-4033-804E-2D3098C7D2E9",
"project_id": "BD3A1E52-1C62-44CB-BF04-660BD88CD74D",
"user_id": "BD3A1E52-1C62-44CB-BF04-660BD88CD74D"


HTTP/1.1 201 Created
Location: http://localhost/v1/resource/generic/75c44741-cc60-4033-804e-2d3098c7d2e9
ETag: "e3acd0681d73d85bfb8d180a7ecac75fce45a0dd"
Last-Modified: Fri, 17 Apr 2015 11:18:48 GMT
Content-Type: application/json; charset=UTF-8


"created_by_project_id": "ec181da1-25dd-4a55-aa18-109b19e7df3a",
"created_by_user_id": "4543aa2a-6ebf-4edd-9ee0-f81abe6bb742",
"ended_at": null,
"id": "75c44741-cc60-4033-804e-2d3098c7d2e9",
"metrics": ,
"project_id": "bd3a1e52-1c62-44cb-bf04-660bd88cd74d",
"revision_end": null,
"revision_start": "2015-04-17T11:18:48.696288Z",
"started_at": "2015-04-17T11:18:48.696275Z",
"type": "generic",
"user_id": "bd3a1e52-1c62-44cb-bf04-660bd88cd74d"


The resource is created with the UUID provided by the user. Gnocchi handles the history of the resource, and that's what the revision_start and revision_end fields are for. They indicates the lifetime of this revision of the resource. The ETag and Last-Modified headers are also unique to this resource revision and can be used in a subsequent request using If-Match or If-Not-Match header, for example:
GET /v1/resource/generic/75c44741-cc60-4033-804e-2d3098c7d2e9 HTTP/1.1
If-Not-Match: "e3acd0681d73d85bfb8d180a7ecac75fce45a0dd"

HTTP/1.1 304 Not Modified

Which is useful to synchronize and update any view of the resources you might have in your application. You can use the PATCH HTTP method to modify properties of the resource, which will create a new revision of the resource. The history of the resources are available via the REST API obviously. The metrics properties of the resource allow you to link metrics to a resource. You can link existing metrics or create new ones dynamically:
POST /v1/resource/generic HTTP/1.1
Content-Type: application/json


"id": "AB68DA77-FA82-4E67-ABA9-270C5A98CBCB",
"metrics":
"temperature":
"archive_policy_name": "low"

,
"project_id": "BD3A1E52-1C62-44CB-BF04-660BD88CD74D",
"user_id": "BD3A1E52-1C62-44CB-BF04-660BD88CD74D"


HTTP/1.1 201 Created
Location: http://localhost/v1/resource/generic/ab68da77-fa82-4e67-aba9-270c5a98cbcb
ETag: "9f64c8890989565514eb50c5517ff01816d12ff6"
Last-Modified: Fri, 17 Apr 2015 14:39:22 GMT
Content-Type: application/json; charset=UTF-8


"created_by_project_id": "cfa2ebb5-bbf9-448f-8b65-2087fbecf6ad",
"created_by_user_id": "6aadfc0a-da22-4e69-b614-4e1699d9e8eb",
"ended_at": null,
"id": "ab68da77-fa82-4e67-aba9-270c5a98cbcb",
"metrics":
"temperature": "ad53cf29-6d23-48c5-87c1-f3bf5e8bb4a0"
,
"project_id": "bd3a1e52-1c62-44cb-bf04-660bd88cd74d",
"revision_end": null,
"revision_start": "2015-04-17T14:39:22.181615Z",
"started_at": "2015-04-17T14:39:22.181601Z",
"type": "generic",
"user_id": "bd3a1e52-1c62-44cb-bf04-660bd88cd74d"


Haystack, needle? Find! With such a system, it becomes very easy to index all your resources, meter them and retrieve this data. What's even more interesting is to query the system to find and list the resources you are interested in! You can search for a resource based on any field, for example:
POST /v1/search/resource/instance HTTP/1.1
Content-Type: application/json


"=":
"user_id": "bd3a1e52-1c62-44cb-bf04-660bd88cd74d"



That query will return a list of all resources owned by the user_id bd3a1e52-1c62-44cb-bf04-660bd88cd74d. You can do fancier queries such as retrieving all the instances started by a user this month:
POST /v1/search/resource/instance HTTP/1.1
Content-Type: application/json
Content-Length: 113


"and": [

"=":
"user_id": "bd3a1e52-1c62-44cb-bf04-660bd88cd74d"

,

">=":
"started_at": "2015-04-01"


]


And you can even do fancier queries than the fancier ones (still following?). What if we wanted to retrieve all the instances that were on host foobar the 15th April and who had already 30 minutes of uptime? Let's ask Gnocchi to look in the history!
POST /v1/search/resource/instance?history=true HTTP/1.1
Content-Type: application/json
Content-Length: 113


"and": [

"=":
"host": "foobar"

,

">=":
"lifespan": "1 hour"

,

"<=":
"revision_start": "2015-04-15"



]


I could also mention the fact that you can search for value in metrics. One feature that I will very likely include in Gnocchi 1.1 is the ability to search for resource whose specific metrics matches some value. For example, having the ability to search for instances whose CPU consumption was over 80% during a month. Cherries on the cake While Gnocchi is well integrated and based on common OpenStack technology, please do note that it is completely able to function without any other OpenStack component and is pretty straight-forward to deploy. Gnocchi also implements a full RBAC system based on the OpenStack standard oslo.policy and which allows pretty fine grained control of permissions.
There is also some work ongoing to have HTML rendering when browsing the API using a Web browser. While still simple, we'd like to have a minimal Web interface served on top of the API for the same price! Ceilometer alarm subsystem supports Gnocchi with the Kilo release, meaning you can use it to trigger actions when a metric value crosses some threshold. And OpenStack Heat also supports auto-scaling your instances based on Ceilometer+Gnocchi alarms. And there are a few more API calls that I didn't talk about here, so don't hesitate to take a peek at the full documentation! Towards Gnocchi 1.1! Gnocchi is a different beast in the OpenStack community. It is under the umbrella of the Ceilometer program, but it's one of the first projects that is not part of the (old) integrated release. Therefore we decided to have a release schedule not directly linked to the OpenStack and we'll release more often that the rest of the old OpenStack components probably once every 2 months or the like. What's coming next is a close integration with Ceilometer (e.g. moving the dispatcher code from Gnocchi to Ceilometer) and probably more features as we have more requests from our users. We are also exploring different backends such as InfluxDB (storage) or MongoDB (indexer). Stay tuned, and happy hacking!

Manuel A. Fernandez Montecelo: About the Debian GNU/Linux port for OpenRISC or1k

In my previous post I mentioned my involvement with the OpenRISC or1k port. It was the technical activity in which I spent most time during 2014 (Debian and otherwise, day job aside). I thought that it would be nice to talk a bit about the port for people who don't know about it, and give an update for those who do know and care. So this post explains a bit how it came to be, details about its development, and finally the current status. It is going to be written as a rather personal account, for that matter, since I did not get involved enough in the OpenRISC community at large to learn much about its internal workings and aspects that I was not directly involved with. There is not much information about all of this elsewhere, only bits and pieces scattered here and there, but specially not much public information at all about the development of the Debian port. There is an OpenRISC entry in the Debian wiki, but it does not contain much information yet. Hopefully, this piece will help a bit to preserve history and give an insight for future porters. First Things First I imagine that most people reading this post will be familiar with the terminology, but just in case, to create a new Debian port means to get a Debian system (GNU/Linux variant, in this case) to run in the OpenRISC or1k computer architecture. Setting to one side all differences between hardware and software, and as described in their site:
The aim of the OpenRISC project is to create free and open source computing platforms
It is therefore a good match for the purposes of Debian and Free Software world in general. The processor has not been produced in silicon, or not available for the masses in any case. People with the necessary know-how can download the hardware description (Verilog) and synthesise it in a FPGA, or otherwise use simulators. It is not some piece of hardware that people can purchase yet, and there are no plans to mass-produce it in the near future either. The two people (including me) involved in this Debian port did not have the hardware, so we created the port entirely through cross-compiling from other architectures, and then compiling inside Qemu. In a sense, we were creating a Debian port for hardware that "does not [phisically] exist". The software that we built was tested by people who had hardware available in FPGA, though, so it was at least usable. I understand that people working in the arm64 port had to work similarly in the initial phases, working in the dark without access to real hardware to compile or test. The Spark The first time that I heard about the initiative to create the port was in late February of 2014, in a post which appeared in Linux Weekly News (sent by Paul Wise) and Slashdot. The original post announcing it was actually from late January, from Christian Svensson (blueCmd):
Some people know that I've been working on porting Glibc and doing some toolchain work. My evil master plan was to make a Debian port, and today I'm a happy hacker indeed! Below is a link to a screencast of me installing Debian for OpenRISC, installing python2.7 via apt-get (which you shouldn't do in or1ksim, it takes ages! (but it works!)) and running a small Python script. http://asciinema.org/a/7362
So, now, what can a Debian Hacker do when reading this? (Even if one's Hackery Level is not that high, as it is my case). And well, How Hard Can It Be? I mean, Really? Well, in my own defence, I knew that the answer to the last two questions would be a resounding Very . But for some reason the idea grabbed me and I couldn't help but think that it would be a Really Exciting Project, and that somehow I would like to get involved. So I wrote to Christian offering my help after considering it for a few days, around mid March, and he welcomed me aboard. The Ball Was Already Rolling Christian had already been in contact with the people behind DebianBootstrap, and he had already created the repository http://openrisc.debian.net/ with many packages of the base system and beyond (read: packages name_version_or1k.deb available to download and install). Still nowadays the packages are not signed with proper keys, though, so use your judgement if you want to try them. After a few weeks, I got up to speed with the status of the project and got my system working with the necessary tools. This meant basically sbuild/schroot to compile new packages, with the base system that Christian already got working, installed in a chroot, probably with the help of debootstrap, and qemu-system-or1k to simulate the system. Only a few of the packages were different from the version in Debian, like gcc, binutils or glibc -- they had not been upstreamed yet. sbuild ran through qemu-system-or1k, so the compilation of new packages could happen "natively" (running inside Qemu) rather than cross-compiling the packages, pulling _or1k.deb packages for dependencies from the repository that he had prepared, and _all.deb packages from snapshots.debian.org. I started by trying to get the packages that I [co-]maintain in Debian compiled for this architecture, creating the corresponding _or1k.deb. For most of them, though, I needed many dependencies compiled before I could even compile my packages. The GNU autotools / autoreconf Problem Since very early, many of the packages failed to build with messages such as:
Invalid configuration 'or1k-linux-gnu': machine 'or1k' not recognized
configure: error: /bin/bash ../config.sub or1k-linux-gnu failed
This means that software packages based on GNU autotools and using configure scripts need recent versions of the files config.sub and config.guess that they ship in their root directory, to be able to detect the architecture and generate the code accordingly. This is counter-intuitive, having into account that GNU autotools were designed to help with portability. Yet, in the case of creating new Debian ports, it meant that unless upstream had very recent versions of config. guess,sub , it would prevent the package to compile straight away in the new architectures -- even if invoking gcc without ado would have worked without problems in most cases for native compilation. Of course this did not only affect or1k, and there was already the autoreconf effort underway as a way to update these files automatically when building Debian packages, pushed by people porting Debian to the new architectures added in 2013/2014 (mips64el, arm64, ppc64el), which encountered the same roadblock. This affected around a thousand source packages in unstable. A Royal Pain. Also, all of their reverse dependencies (packages that depended on those to be built) could not be compiled straight away. The bugs were not Release Critical, though (none of these architectures were officially accepted at the time), so for people not concerned with the new ports there was no big incentive to get them fixed. This problem, which conceptually is easily solvable, prevented new ports to even attempt compile vast portions of the archive straight away (cleanly, without modifications to the package or to the host system), for weeks or months. The GNU autotools / autoreconf Solution We tackled this problem mainly in two ways. First, more useful for Debian in general, was to do as other porters were doing and submit bug reports and patches to Debian packages requesting them to use autoreconf, and NMUing packages (uploading changes to the archive without the official maintainers' intervention). A few NMUs were made for packages which had bug reports with patches available for a while, that were in the critical path to get many other packages compiled, and that were orphan or had almost no maintainer activity. The people working in the other new ports, and mainly Ubuntu people which helped with some of those ports and wanted to support them, had submitted a large amount of requests since late 2013, so there was no shortage of NMUs to be made. Some porters, not being Debian Developers, could not easily get the changes applied; so I also helped a bit the porters of other architectures, specially later on before the freeze of Jessie, to get as many packages compiled in those architectures as possible. The second way was to create dpkg-buildpackage hooks that updated unconditionally config. guess,sub before attempting to build the package in the local build system. This local and temporary solution allowed us in the or1k port to get many _or1k.deb packages in the experimental repository, which in turn would allow many more packages to compile. After a few weeks, I set up many sbuilds in a multi-core machine attempting to build uninterruptedly packages that were not previously built and which had their dependencies available. Every now and then (typically several times per day in peak times) I pushed the resulting _or1k.deb files to the repository, so more packages would have the necessary dependencies ready to attempt to build. Christian was doing something similar, and by April at peak times, among the two of us, we were compiling some days more than a hundred packages -- a huge amount of packages did not need any change other than up-to-date config. guess,sub files. At some point, late April, Christian set up wanna-build in a few hosts to do this more elegantly and smartly than my method, and more effectively as well. Ugly Hacks, Bugs and Shortcomings in the Toolchain and Qemu Some packages are extremely important because many other packages need them to compile (like cmake, Qt or GTK+), and they are themselves very complex and have dependency loops. They had deeper problems than the autoreconf issue and needed some seriously dirty hacking to get them built. To try to get as many packages compiled as possible, we sometimes compiled these important packages with some functionality disabled, disabling some binary packages (e.g. Java bindings) or specially disabling documentation (using DEB_BUILD_OPTIONS=nodoc when possible, and more aggressively when needed by removing chunks of debian/rules). I tried to use the more aggressive methods in as few packages as possible, though, about a dozen in total. We also used DEB_BUILD_OPTIONS=nocheck for speeding up compilation and avoiding build failures -- many packages' tests failed due to qemu-system-or1k not supporting multi-threading, which we could do nothing about at the time, but otherwise the packages mostly passed tests fine. Due to bugs and shortcomings in Qemu and the toolchain --like the compiler lacking atomics, missing functionality in glibc, Qemu entering in endless loops, or programs segfaulting (especially gettext, used by many packages and causing the packages failing to build)--, we had to resort to some very creative ways or time-consuming dull work to edit debian/rules, or to create wrappers of the real programs avoiding or forcing certain options (like gcc -O0, since -O2 made buggy binaries too often). To avoid having a mix of cleanly compiled and hacked packages in the same repository, Christian set up a two-tiered repository system -- the clean one and the dirty one. In the dirty one we dumped all of the packages that we got built, no matter how. The packages in the clean one could use packages from the dirty one to build, but they themselves were compiled without any hackery. Of course this was not a completely airtight solution, since they could contain code injected at build time from the "dirty repository" (e.g. by static linking), and perhaps other quirks. We hoped to get rid of these problems later by rebuilding all packages against clean builds of all their dependencies. In addition, Christian also spent significant amounts of time working inside the OpenRISC community, debugging problems, testing and recompiling special versions of the toolchain that we could use to advance in our compilation of the whole archive. There were other people in the OpenRISC community implementing the necessary bits in the toolchain, but I don't know the details. Good Progress Olof Kindgren wrote the OpenRISC health report April 2014 (actually posted in May), explaining the status at the time of projects in the broad OpenRISC community, and talking about the software side, Debian port included. Sadly, I think that there have been no more "health reports" since then. There was also a new post in Slashdot entitled OpenRISC Gains Atomic Operations and Multicore Support shortly thereafter. In the side of the Debian port, from time to time new versions of packages entered unstable and we started to use those newer versions. Some of them had nice fixes, like the autoreconf updates, so they did not require local modifications. In other cases, the new versions failed to build when old ones had worked (e.g. because the newer versions added support and dependencies of new versions of gnutls, systemd or other packages not yet available for or1k), and we had to repeat or create more nasty hacks to get the packages built again. But in general, progress was very good. There were about 10k arch-dependent packages in Debian at the time, and we got about half of them compiled by the beginning of May, counting clean and dirty. And, if I recall correctly, there were around the same number of arch=all (which can be installed in any architecture, after the package is built in one of them). Counting both, it meant that systems using or1k got about 15k packages available, or 75% of the whole Debian archive (at least "main", we excluded "contrib" and "non-free"). Not bad. By the middle to end of May, we had about 6k arch-dependent packages compiled, and 4k to go. The count of packages eventually reached ~6.6k at its peak (I think that in June/July). Many had been built with hacks and not rebuilt cleanly yet, but everything was fine until the amount of packages built plateaued. Plateauing There were multiple reasons for that. One of them is that after having fixed the autoreconf issue locally in some packages, new versions were uploaded to Debian without fixing that problem (in many cases there was no bug report or patch yet, so it was understandable; in other cases the requests were ignored). The wanna-build for the clean repository set up by Christian rightly considered the package out-of-date and prepared to build the more recent version, that failed. Then, other packages entering the unstable archive and build-depending on newer versions of those could not be built ("BD-Uninstallable"), until we built the newer versions of the dependencies in the dirty repository with local hacks. Consequently, the count of cleanly built packages went back-and-forth, when not backwards. More challenging was the fact that when creating a new port, language compilers which are written in that same language need to be built for that architecture first. Sometimes it is not the compiler, but compile-time or run-time support for modules of a language are not ported yet. Obviously, as with other dependencies, large amounts of packages written in those languages are bound to remain uncompiled for a long time. As Colin Watson explained in porting Haskell's GHC to arm64 and ppc64el, untangling some of the chicken-and-egg problems of language compilers for new ports is extremely challenging. Perl and Python are pretty much a pre-requisite of the base Debian system, and Christian got them working early on. But for example in May, 247 packages depended on r-base-dev (GNU R) for building, and 736 on ghc, and we did not have these dependencies compiled. Just counting those two, 1k source packages of the remaining 4k to 5k to be compiled for the new architecture would have to wait for a long time. Then there was Java, Mono, etc... Even more worrying problems were the pending issues with the toolchain, like atomics in glibc, or make check failing for some packages in the clean repository built with wanna-build. Christian continued to work on the toolchain and liasing with the rest of the OpenRISC community, I continued to request more changes to the Debian archive through a few requests to use autoreconf, and pushing a few more NMUs. Though many requests were attended, I soon got negative replies/reactions and backed off a bit. In the meantime, the porters of other new architectures at the time were mostly submitting requests to support them and not NMUing much either. Upstreaming Things continued more or less in the same state until the end of the summer. The new ports needed as many packages built as possible before the evaluation of which official ports to accept (in early September, I think, the final decision around the time of the freeze). Porters of the other new architectures (and maintainers, and other helpful Debian Developers) were by then more active in pushing for changes, specially remaining autoreconf issues, many of which benefited or1k. As I said before, I also kept pushing NMUs now and then, specially during summer, for packages which were not of immediate benefit for our port but helped the others (e.g. ppc64el needed updates to ltmain.sh for libtool which were not necessary for or1k, in addition to config. guess,sub ). In parallel in the or1k camp, there were patches that needed changes to be sent upstream, like for example Python's NumPy, that I submitted in May to the Debian package and upstream, and was uploaded to Debian in September with a new upstream release. Similar paths were followed between May and September for packages such as jemalloc, ocaml, gstreamer0.10, libgc, mesa, X.org's cf module and cmake (patch created by Christian). In April, Christian had reached the amazing milestone of tracking and getting all of the contributors of the port of GNU binutils to assign copyright to the Free Software Foundation (FSF), all of the work was refreshed and upstreamed. In July or August, he started to gather information about the contributors of the GCC port, which had started more than a decade ago. After that, nothing much happened (from the outside) until the end of the year, when Christian sent a message about the status of upstreaming GCC to the OpenRISC community. There was only one remaining person to assign the copyright to the FSF, but it was a blocker. In addition, there was the need to find one or more maintainers to liaise with upstream, review the patches, fix the remaining failures in the test suite and keeping the port in good shape. A few months after that and from what I could gather, the status remains the same. Current Status, and The Future? In terms of the Debian port, there have not been huge visible changes since the end of the summer, and not only because of the Jessie freeze. It seems that for this effort to keep going forward and be sustainable, sorting out the issues with GCC and Glibc is essential. That means having the toolchain completely pushed upstream and in good shape, and particularly completing the copyright assignment. Debian will not accept private forks of those essential packages without a very good reason even in unofficially supported ports; and from the point of view of porters, working in the remaining not-yet-built packages with continuing problems in the toolchain is very frustrating and time-consuming. Other than that, there is already a significant amount of software available that could run in an or1k system, so I think that overall the project has achieved a significant amount of success. Granted, KDE and LibreOffice are not available yet, neither are the tools depending on Haskell or Java. But a lot of software is available (including things high in the stack, like XFCE), and in many aspects it should provide a much more functional system that the one available in Linux (or other free software) systems in the late 1990s. If the blocking issues are sorted out in the near future, the effort needed to get a very functional port, on par with the unofficial Debian ports, should not be that big. In my opinion, and looking at the big picture, not bad at all for an architecture whose hardware implementation is not easy to come by, and in which the port was created almost solely with simulators. That it has been possible to get this far with such meagre resources, it's an amazing feat of Free Software and Debian in particular. As for the future, time will tell, as usual. I will try to keep you posted if there is any significant change in the future.

19 April 2015

Richard Hartmann: Release Critical Bug report for Week 16

The UDD bugs interface currently knows about the following release critical bugs: How do we compare to the Squeeze and Wheezy release cycles?
Week Squeeze Wheezy Jessie
43 284 (213+71) 468 (332+136) 319 (240+79)
44 261 (201+60) 408 (265+143) 274 (224+50)
45 261 (205+56) 425 (291+134) 295 (229+66)
46 271 (200+71) 401 (258+143) 427 (313+114)
47 283 (209+74) 366 (221+145) 342 (260+82)
48 256 (177+79) 378 (230+148) 274 (189+85)
49 256 (180+76) 360 (216+155) 226 (147+79)
50 204 (148+56) 339 (195+144) ???
51 178 (124+54) 323 (190+133) 189 (134+55)
52 115 (78+37) 289 (190+99) 147 (112+35)
1 93 (60+33) 287 (171+116) 140 (104+36)
2 82 (46+36) 271 (162+109) 157 (124+33)
3 25 (15+10) 249 (165+84) 172 (128+44)
4 14 (8+6) 244 (176+68) 187 (132+55)
5 2 (0+2) 224 (132+92) 175 (124+51)
6 release! 212 (129+83) 161 (109+52)
7 release+1 194 (128+66) 147 (106+41)
8 release+2 206 (144+62) 147 (96+51)
9 release+3 174 (105+69) 152 (101+51)
10 release+4 120 (72+48) 112 (82+30)
11 release+5 115 (74+41) 97 (68+29)
12 release+6 93 (47+46)
13 release+7 50 (24+26)
14 release+8 51 (32+19)
15 release+9 39 (32+7)
16 release+10 20 (12+8)
17 release+11 24 (19+5)
18 release+12 2 (2+0)
Graphical overview of bug stats thanks to azhag:

Patrick Schoenfeld: Resources about writing puppet types and providers

When doing a lot of devops stuff with Puppet, you might get to a point, where the existing types are not enough. That point is usually reached, when a task at hand becomes extraordinary complex when trying to achieve it with the Puppet DSL. One example of such a case could be if you need to interact with a system binary a lot. In this case, writing your own puppet type might be handy. Now where to start, if you want to write your own type? Overview: modeling and providing types First thing that you should know about puppet types (if you do not already): a puppet resource type consists of a type and one or more providers. The type is a model of the resource and describes which properties (e.g. the uid of a user resource) and parameters (like the managehome parameter) a resource has. It s a good idea to start with a rough idea of what properties you ll be manage with your resource and what values they will accept, since the type also does the job of validation. What actually needs to be done on the target system is what the provider is up to. There can be different providers for different implementations (e.g. a native ruby implementation or an implementation using a certain utility), different operating systems and other conditions. A combination of a type and a matching provider is what forms a (custom) resource type. Resources Next I ll show you some resources about puppet provider development, that I found useful: Official documentation: Actually types and resources is quiet well documented in the official documentation, although it might not get to much in the details: Blog posts:
A hands-on tutorial in multiple parts with good explanations are the blog posts by Gary Larizza: Books:
The probably most complete information, including explanations of the puppet resource model and it s resource abstraction layer (RAL), can be found in the book Puppet Types and providers by Dan Bode and Nan Liu. The puppet source:
Last but not least, it s always worth a peek at how others did it. The puppet source contains all providers of the official puppet release, as well as the base libraries for puppet types and providers with their api documentation: https://github.com/puppetlabs/puppet/

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