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Linux kernel release 2.6.xx <http://kernel.org/> These are the release notes for Linux version 2.6. Read them carefully, as they tell you what this is all about, explain how to install the kernel, and what to do if something goes wrong. WHAT IS LINUX? Linux is a clone of the operating system Unix, written from scratch by Linus Torvalds with assistance from a loosely-knit team of hackers across the Net. It aims towards POSIX and Single UNIX Specification compliance. It has all the features you would expect in a modern fully-fledged Unix, including true multitasking, virtual memory, shared libraries, demand loading, shared copy-on-write executables, proper memory management, and multistack networking including IPv4 and IPv6. It is distributed under the GNU General Public License - see the accompanying COPYING file for more details. ON WHAT HARDWARE DOES IT RUN? Although originally developed first for 32-bit x86-based PCs (386 or higher), today Linux also runs on (at least) the Compaq Alpha AXP, Sun SPARC and UltraSPARC, Motorola 68000, PowerPC, PowerPC64, ARM, Hitachi SuperH, Cell, IBM S/390, MIPS, HP PA-RISC, Intel IA-64, DEC VAX, AMD x86-64, AXIS CRIS, Xtensa, AVR32 and Renesas M32R architectures. Linux is easily portable to most general-purpose 32- or 64-bit architectures as long as they have a paged memory management unit (PMMU) and a port of the GNU C compiler (gcc) (part of The GNU Compiler Collection, GCC). Linux has also been ported to a number of architectures without a PMMU, although functionality is then obviously somewhat limited. Linux has also been ported to itself. You can now run the kernel as a userspace application - this is called UserMode Linux (UML). DOCUMENTATION: - There is a lot of documentation available both in electronic form on the Internet and in books, both Linux-specific and pertaining to general UNIX questions. I'd recommend looking into the documentation subdirectories on any Linux FTP site for the LDP (Linux Documentation Project) books. This README is not meant to be documentation on the system: there are much better sources available. - There are various README files in the Documentation/ subdirectory: these typically contain kernel-specific installation notes for some drivers for example. See Documentation/00-INDEX for a list of what is contained in each file. Please read the Changes file, as it contains information about the problems, which may result by upgrading your kernel. - The Documentation/DocBook/ subdirectory contains several guides for kernel developers and users. These guides can be rendered in a number of formats: PostScript (.ps), PDF, HTML, & man-pages, among others. After installation, "make psdocs", "make pdfdocs", "make htmldocs", or "make mandocs" will render the documentation in the requested format. INSTALLING the kernel source: - If you install the full sources, put the kernel tarball in a directory where you have permissions (eg. your home directory) and unpack it: gzip -cd linux-2.6.XX.tar.gz | tar xvf - or bzip2 -dc linux-2.6.XX.tar.bz2 | tar xvf - Replace "XX" with the version number of the latest kernel. Do NOT use the /usr/src/linux area! This area has a (usually incomplete) set of kernel headers that are used by the library header files. They should match the library, and not get messed up by whatever the kernel-du-jour happens to be. - You can also upgrade between 2.6.xx releases by patching. Patches are distributed in the traditional gzip and the newer bzip2 format. To install by patching, get all the newer patch files, enter the top level directory of the kernel source (linux-2.6.xx) and execute: gzip -cd ../patch-2.6.xx.gz | patch -p1 or bzip2 -dc ../patch-2.6.xx.bz2 | patch -p1 (repeat xx for all versions bigger than the version of your current source tree, _in_order_) and you should be ok. You may want to remove the backup files (xxx~ or xxx.orig), and make sure that there are no failed patches (xxx# or xxx.rej). If there are, either you or me has made a mistake. Unlike patches for the 2.6.x kernels, patches for the 2.6.x.y kernels (also known as the -stable kernels) are not incremental but instead apply directly to the base 2.6.x kernel. Please read Documentation/applying-patches.txt for more information. Alternatively, the script patch-kernel can be used to automate this process. It determines the current kernel version and applies any patches found. linux/scripts/patch-kernel linux The first argument in the command above is the location of the kernel source. Patches are applied from the current directory, but an alternative directory can be specified as the second argument. - If you are upgrading between releases using the stable series patches (for example, patch-2.6.xx.y), note that these "dot-releases" are not incremental and must be applied to the 2.6.xx base tree. For example, if your base kernel is 2.6.12 and you want to apply the 2.6.12.3 patch, you do not and indeed must not first apply the 2.6.12.1 and 2.6.12.2 patches. Similarly, if you are running kernel version 2.6.12.2 and want to jump to 2.6.12.3, you must first reverse the 2.6.12.2 patch (that is, patch -R) _before_ applying the 2.6.12.3 patch. You can read more on this in Documentation/applying-patches.txt - Make sure you have no stale .o files and dependencies lying around: cd linux make mrproper You should now have the sources correctly installed. SOFTWARE REQUIREMENTS Compiling and running the 2.6.xx kernels requires up-to-date versions of various software packages. Consult Documentation/Changes for the minimum version numbers required and how to get updates for these packages. Beware that using excessively old versions of these packages can cause indirect errors that are very difficult to track down, so don't assume that you can just update packages when obvious problems arise during build or operation. BUILD directory for the kernel: When compiling the kernel all output files will per default be stored together with the kernel source code. Using the option "make O=output/dir" allow you to specify an alternate place for the output files (including .config). Example: kernel source code: /usr/src/linux-2.6.N build directory: /home/name/build/kernel To configure and build the kernel use: cd /usr/src/linux-2.6.N make O=/home/name/build/kernel menuconfig make O=/home/name/build/kernel sudo make O=/home/name/build/kernel modules_install install Please note: If the 'O=output/dir' option is used then it must be used for all invocations of make. CONFIGURING the kernel: Do not skip this step even if you are only upgrading one minor version. New configuration options are added in each release, and odd problems will turn up if the configuration files are not set up as expected. If you want to carry your existing configuration to a new version with minimal work, use "make oldconfig", which will only ask you for the answers to new questions. - Alternate configuration commands are: "make config" Plain text interface. "make menuconfig" Text based color menus, radiolists & dialogs. "make xconfig" X windows (Qt) based configuration tool. "make gconfig" X windows (Gtk) based configuration tool. "make oldconfig" Default all questions based on the contents of your existing ./.config file and asking about new config symbols. "make silentoldconfig" Like above, but avoids cluttering the screen with questions already answered. Additionally updates the dependencies. "make defconfig" Create a ./.config file by using the default symbol values from either arch/$ARCH/defconfig or arch/$ARCH/configs/${PLATFORM}_defconfig, depending on the architecture. "make ${PLATFORM}_defconfig" Create a ./.config file by using the default symbol values from arch/$ARCH/configs/${PLATFORM}_defconfig. Use "make help" to get a list of all available platforms of your architecture. "make allyesconfig" Create a ./.config file by setting symbol values to 'y' as much as possible. "make allmodconfig" Create a ./.config file by setting symbol values to 'm' as much as possible. "make allnoconfig" Create a ./.config file by setting symbol values to 'n' as much as possible. "make randconfig" Create a ./.config file by setting symbol values to random values. You can find more information on using the Linux kernel config tools in Documentation/kbuild/kconfig.txt. NOTES on "make config": - having unnecessary drivers will make the kernel bigger, and can under some circumstances lead to problems: probing for a nonexistent controller card may confuse your other controllers - compiling the kernel with "Processor type" set higher than 386 will result in a kernel that does NOT work on a 386. The kernel will detect this on bootup, and give up. - A kernel with math-emulation compiled in will still use the coprocessor if one is present: the math emulation will just never get used in that case. The kernel will be slightly larger, but will work on different machines regardless of whether they have a math coprocessor or not. - the "kernel hacking" configuration details usually result in a bigger or slower kernel (or both), and can even make the kernel less stable by configuring some routines to actively try to break bad code to find kernel problems (kmalloc()). Thus you should probably answer 'n' to the questions for "development", "experimental", or "debugging" features. COMPILING the kernel: - Make sure you have at least gcc 3.2 available. For more information, refer to Documentation/Changes. Please note that you can still run a.out user programs with this kernel. - Do a "make" to create a compressed kernel image. It is also possible to do "make install" if you have lilo installed to suit the kernel makefiles, but you may want to check your particular lilo setup first. To do the actual install you have to be root, but none of the normal build should require that. Don't take the name of root in vain. - If you configured any of the parts of the kernel as `modules', you will also have to do "make modules_install". - Verbose kernel compile/build output: Normally the kernel build system runs in a fairly quiet mode (but not totally silent). However, sometimes you or other kernel developers need to see compile, link, or other commands exactly as they are executed. For this, use "verbose" build mode. This is done by inserting "V=1" in the "make" command. E.g.: make V=1 all To have the build system also tell the reason for the rebuild of each target, use "V=2". The default is "V=0". - Keep a backup kernel handy in case something goes wrong. This is especially true for the development releases, since each new release contains new code which has not been debugged. Make sure you keep a backup of the modules corresponding to that kernel, as well. If you are installing a new kernel with the same version number as your working kernel, make a backup of your modules directory before you do a "make modules_install". Alternatively, before compiling, use the kernel config option "LOCALVERSION" to append a unique suffix to the regular kernel version. LOCALVERSION can be set in the "General Setup" menu. - In order to boot your new kernel, you'll need to copy the kernel image (e.g. .../linux/arch/i386/boot/bzImage after compilation) to the place where your regular bootable kernel is found. - Booting a kernel directly from a floppy without the assistance of a bootloader such as LILO, is no longer supported. If you boot Linux from the hard drive, chances are you use LILO which uses the kernel image as specified in the file /etc/lilo.conf. The kernel image file is usually /vmlinuz, /boot/vmlinuz, /bzImage or /boot/bzImage. To use the new kernel, save a copy of the old image and copy the new image over the old one. Then, you MUST RERUN LILO to update the loading map!! If you don't, you won't be able to boot the new kernel image. Reinstalling LILO is usually a matter of running /sbin/lilo. You may wish to edit /etc/lilo.conf to specify an entry for your old kernel image (say, /vmlinux.old) in case the new one does not work. See the LILO docs for more information. After reinstalling LILO, you should be all set. Shutdown the system, reboot, and enjoy! If you ever need to change the default root device, video mode, ramdisk size, etc. in the kernel image, use the 'rdev' program (or alternatively the LILO boot options when appropriate). No need to recompile the kernel to change these parameters. - Reboot with the new kernel and enjoy. IF SOMETHING GOES WRONG: - If you have problems that seem to be due to kernel bugs, please check the file MAINTAINERS to see if there is a particular person associated with the part of the kernel that you are having trouble with. If there isn't anyone listed there, then the second best thing is to mail them to me ([email protected]), and possibly to any other relevant mailing-list or to the newsgroup. - In all bug-reports, *please* tell what kernel you are talking about, how to duplicate the problem, and what your setup is (use your common sense). If the problem is new, tell me so, and if the problem is old, please try to tell me when you first noticed it. - If the bug results in a message like unable to handle kernel paging request at address C0000010 Oops: 0002 EIP: 0010:XXXXXXXX eax: xxxxxxxx ebx: xxxxxxxx ecx: xxxxxxxx edx: xxxxxxxx esi: xxxxxxxx edi: xxxxxxxx ebp: xxxxxxxx ds: xxxx es: xxxx fs: xxxx gs: xxxx Pid: xx, process nr: xx xx xx xx xx xx xx xx xx xx xx or similar kernel debugging information on your screen or in your system log, please duplicate it *exactly*. The dump may look incomprehensible to you, but it does contain information that may help debugging the problem. The text above the dump is also important: it tells something about why the kernel dumped code (in the above example it's due to a bad kernel pointer). More information on making sense of the dump is in Documentation/oops-tracing.txt - If you compiled the kernel with CONFIG_KALLSYMS you can send the dump as is, otherwise you will have to use the "ksymoops" program to make sense of the dump (but compiling with CONFIG_KALLSYMS is usually preferred). This utility can be downloaded from ftp://ftp.<country>.kernel.org/pub/linux/utils/kernel/ksymoops/ . Alternately you can do the dump lookup by hand: - In debugging dumps like the above, it helps enormously if you can look up what the EIP value means. The hex value as such doesn't help me or anybody else very much: it will depend on your particular kernel setup. What you should do is take the hex value from the EIP line (ignore the "0010:"), and look it up in the kernel namelist to see which kernel function contains the offending address. To find out the kernel function name, you'll need to find the system binary associated with the kernel that exhibited the symptom. This is the file 'linux/vmlinux'. To extract the namelist and match it against the EIP from the kernel crash, do: nm vmlinux | sort | less This will give you a list of kernel addresses sorted in ascending order, from which it is simple to find the function that contains the offending address. Note that the address given by the kernel debugging messages will not necessarily match exactly with the function addresses (in fact, that is very unlikely), so you can't just 'grep' the list: the list will, however, give you the starting point of each kernel function, so by looking for the function that has a starting address lower than the one you are searching for but is followed by a function with a higher address you will find the one you want. In fact, it may be a good idea to include a bit of "context" in your problem report, giving a few lines around the interesting one. If you for some reason cannot do the above (you have a pre-compiled kernel image or similar), telling me as much about your setup as possible will help. Please read the REPORTING-BUGS document for details. - Alternately, you can use gdb on a running kernel. (read-only; i.e. you cannot change values or set break points.) To do this, first compile the kernel with -g; edit arch/i386/Makefile appropriately, then do a "make clean". You'll also need to enable CONFIG_PROC_FS (via "make config"). After you've rebooted with the new kernel, do "gdb vmlinux /proc/kcore". You can now use all the usual gdb commands. The command to look up the point where your system crashed is "l *0xXXXXXXXX". (Replace the XXXes with the EIP value.) gdb'ing a non-running kernel currently fails because gdb (wrongly) disregards the starting offset for which the kernel is compiled.
luigi
Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.annoy
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to diskpedalboard
π π A Python library for audio.docker-gc
INACTIVE: Docker garbage collection of containers and imageschartify
Python library that makes it easy for data scientists to create charts.basic-pitch
A lightweight yet powerful audio-to-MIDI converter with pitch bend detectiondockerfile-maven
MATURE: A set of Maven tools for dealing with Dockerfilesdocker-maven-plugin
INACTIVE: A maven plugin for Dockerscio
A Scala API for Apache Beam and Google Cloud Dataflow.helios
Docker container orchestration platformweb-api-examples
Basic examples to authenticate and fetch data using the Spotify Web APIHubFramework
DEPRECATED β Spotifyβs component-driven UI framework for iOSapollo
Java libraries for writing composable microservicesdh-virtualenv
Python virtualenvs in Debian packagesdocker-client
INACTIVE: A simple docker client for the JVMdocker-kafka
Kafka (and Zookeeper) in DockerSPTPersistentCache
Everyone tries to implement a cache at some point in their iOS appβs lifecycle, and this is ours.voyager
π°οΈ An approximate nearest-neighbor search library for Python and Java with a focus on ease of use, simplicity, and deployability.mobius
A functional reactive framework for managing state evolution and side-effects.sparkey
Simple constant key/value storage library, for read-heavy systems with infrequent large bulk inserts.ruler
Gradle plugin which helps you analyze the size of your Android apps.XCMetrics
XCMetrics is the easiest way to collect Xcode build metrics and improve developer productivity.web-api
This issue tracker is no longer used. Join us in the Spotify for Developers forum for support with the Spotify Web API β‘οΈ https://community.spotify.com/t5/Spotify-for-Developers/bd-p/Spotify_Developerechoprint-codegen
Codegen for Echoprintsnakebite
A pure python HDFS clientheroic
The Heroic Time Series Databaseklio
Smarter data pipelines for audio.XCRemoteCache
ios-sdk
Spotify SDK for iOSSPTDataLoader
The HTTP library used by the Spotify iOS clientapps-tutorial
A Spotify App that contains working examples of the use of Spotify Apps APIJniHelpers
Tools for writing great JNI codepostgresql-metrics
Tool that extracts and provides metrics on your PostgreSQL databaseMobius.swift
A functional reactive framework for managing state evolution and side-effects [Swift implementation]reactochart
π React chart component library πdockerfile-mode
An emacs mode for handling Dockerfilesthreaddump-analyzer
A JVM threaddump analyzerfeatran
A Scala feature transformation library for data science and machine learningandroid-sdk
Spotify SDK for Androidechoprint-server
Server for the Echoprint audio fingerprint systemcompletable-futures
Utilities for working with futures in Java 8web-scripts
DEPRECATED: A collection of base configs and CLI wrappers used to speed up development @ Spotify.spotify-web-api-ts-sdk
A Typescript SDK for the Spotify Web API with types for returned data.SpotifyLogin
Swift framework for authenticating with the Spotify APIratatool
A tool for data sampling, data generation, and data diffingfmt-maven-plugin
Opinionated Maven Plugin that formats your Java code.coordinator
A visual interface for turning an SVG into XY coΓΆrdinates.big-data-rosetta-code
Code snippets for solving common big data problems in various platforms. Inspired by Rosetta Codetrickle
A small library for composing asynchronous codepythonflow
π Dataflow programming for python.styx
"The path to execution", Styx is a service that schedules batch data processing jobs in Docker containers on Kubernetes.cstar
Apache Cassandra cluster orchestration tool for the command lineconfidence
netty-zmtp
A Netty implementation of ZMTP, the ZeroMQ Message Transport Protocol.ios-style
Guidelines for iOS development in use at Spotifycassandra-reaper
Software to run automated repairs of cassandradocker-cassandra
Cassandra in Docker with fast startupbasic-pitch-ts
A lightweight yet powerful audio-to-MIDI converter with pitch bend detection.terraform-gke-kubeflow-cluster
Terraform module for creating GKE clusters to run Kubeflowdns-java
DNS wrapper library that provides SRV lookup functionalitygit-test
test your commitsSPStackedNav
[DEPRECATED] Navigation controller which represents its content in stacks of panes, rather than one at a timespotify-json
Fast and nice to use C++ JSON library.quickstart
A CommonJS module resolver, loader and compiler for node.js and browsers.dbeam
DBeam exports SQL tables into Avro files using JDBC and Apache Beamflink-on-k8s-operator
Kubernetes operator for managing the lifecycle of Apache Flink and Beam applications.bazel-tools
Tools for dealing with very large Bazel-managed repositoriesmagnolify
A collection of Magnolia add-on modulesdataenum
Algebraic data types in Java.lingon
A user friendly tool for building single-page JavaScript applicationsasync-google-pubsub-client
[SUNSET] Async Google Pubsub Clientgcp-audit
A tool for auditing security properties of GCP projects.spark-bigquery
Google BigQuery support for Spark, SQL, and DataFramesshould-up
Remove most of the "should" noise from your testsfolsom
An asynchronous memcache client for Javamissinglink
Build time tool for detecting link problems in java projectsflo
A lightweight workflow definition libraryspotify-web-playback-sdk-example
React based example app that creates a new player in Spotify Connect to play music from in the browse using Spotify Web Playback SDK.android-auth
Spotify authentication and authorization for Android. Part of the Spotify Android SDK.proto-registry
An implementation of the Protobuf Registry APIfutures-extra
Java library for working with Guava futureszoltar
Common library for serving TensorFlow, XGBoost and scikit-learn models in production.annoy-java
Approximate nearest neighbors in Javaspydra
Ephemeral Hadoop clusters using Google Compute Platformgithub-java-client
A Java client to Github APIdocker-stress
Simple docker stress test and monitoring toolsspotify-tensorflow
Provides Spotify-specific TensorFlow helperscrtauth
a public key backed client/server authentication systemsparkey-java
Java implementation of the Sparkey key value storeredux-location-state
Utilities for reading & writing Redux store state to & from the URLrealbook
Easier audio-based machine learning with TensorFlow.rspec-dns
Easily test your DNS with RSpecweb-playback-sdk
This issue tracker is no longer used. Join us in the Spotify for Developers forum for support with the Spotify Web Playback SDK β‘οΈ https://community.spotify.com/t5/Spotify-for-Developers/bd-p/Spotify_Developerffwd-ruby
An event and metrics fast-forwarding agent.gimme
Creating time bound IAM Conditions with ease and flairsuper-smash-brogp
Sends and withdraws BGP prefixes for fun.spotify.github.io
Showcase site for hand-picked open-source projects by Spotifylighthouse-audit-service
python-graphwalker
Python re-implementation of the graphwalker testing toolnoether
Scala Aggregators used for ML Model metrics monitoringLove Open Source and this site? Check out how you can help us