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[Super-build] FOEDUS: Fast Optimistic Engine for Data Unification Services

Overview

FOEDUS is a new transactional key-value store developed at Hewlett-Packard Labs that is optimized for a large number of CPU cores and NVRAM storage (or fast SSD). It is a handy C++ library you can either include in your source code (by invoking CMake script) or dynamically link to. In a nutshell, it is something like BerkeleyDB, but it is much more efficient on new hardware.

For more details, take a look at the overview paper.

Alpha-Version WARNING

The repository is currently in PRE-ALPHA state. Nothing is guaranteed. Please expect that many parts of the code are unstable and might lack critical features. We are working hard to move on to next steps hinted below, but without any promises. If you want to expedite the development, PLEASE JOIN US. That's the spirit of open-source.

  • Alpha Version (aka first open sourcing): This is supposed to be at the beginning of June 2015 at/before SIGMOD conference. By this time, we should have most of critical features. But, still no guarantee for stable behavior, data migration to next version, etc. Important APIs and even the library name might change in next versions. This version is for people who want to take a look at FOEDUS, and for early adopters who are okay to adjust their programs when the APIs significantly change.
  • Beta Version: This is supposed to be released sometime in 2016, hopefully early 2016. We should fix most of critical issues/features by this time so that users can start developing their programs on top of FOEDUS. We will start release versioning from this point, probably from ver 0.1.
  • Stable Version (aka ver 1.0): Some time between 2018 to 2020. We really need more people to make this happen on time, especially for stabilizing/documenting FOEDUS and for establishing/helping the community.

Again, we are in PRE-ALPHA now. BE REALLY WARNED. I TOLD YOU, OKAY?

How to Contribute

You can help us in different ways:

  1. Reporting issues.
  2. Contributing code and sending a Pull Request.

In order to contribute the code base of this project, you must agree to the Developer Certificate of Origin 1.1 for this project under GPLv2.

By making a contribution to this project, I certify that:

  1. The contribution was created in whole or in part by me and I have the right to submit it under the open source license indicated in the file; or
  2. The contribution is based upon previous work that, to the best of my knowledge, is covered under an appropriate open source license and I have the right under that license to submit that work with modifications, whether created in whole or in part by me, under the same open source license (unless I am permitted to submit under a different license), as indicated in the file; or
  3. The contribution was provided directly to me by some other person who certified (a), (b) or (c) and I have not modified it.
  4. I understand and agree that this project and the contribution are public and that a record of the contribution (including all personal information I submit with it, including my sign-off) is maintained indefinitely and may be redistributed consistent with this project or the open source license(s) involved.

Folder Structure (For Everyone)

This root project contains a few sub-projects. Some of them are NOT supposed to be directly linked from client programs (your programs).

  • foedus-core : Key-value store library.
  • foedus-util : A series of utility programs to help use libfoedus.
  • foedus-rdb (not_exist_yet) : Relational database engine on top of foedus-core.
  • tests-[core/util/rdb] : Unit testcase projects.
  • experiments-[core/util/rdb] : Performance experiments projects.
  • third_party : Third party source code used in our programs.

You are supposed to link only to foedus-core and foedus-rdb. Other projects are for internal use or to provide executables, rather than libraries. You can still contain all projects (or this folder's CMakeLists.txt) in your source code, but note that some restrictions on compiler options apply if you do so.

libfoedus-core (For FOEDUS Users)

For more details of how your client program links to and uses our library, start from foedus-core and its API document. Licensing, short get-started examples, etc for users are there. The sections below are for people developing FOEDUS itself.

Current Build Status on Jenkins (For FOEDUS Developers)

Build Type master Branch develop Branch
x86 FC21 release Build Status: master-release Build Status: develop-release
x86 FC21 relwithdebinfo Build Status: master-relwithdebinfo Build Status: develop-relwithdebinfo
x86 FC21 debug Build Status: master-debug Build Status: develop-debug
x86 FC21 release-valgrind Build Status: master-release-valgrind Build Status: develop-release-valgrind
x86 FC21 doxygen Build Status: master-doxygen Build Status: develop-doxygen
x86 UB15 release Build Status: master-release Build Status: develop-release
x86 UB15 relwithdebinfo Build Status: master-relwithdebinfo Build Status: develop-relwithdebinfo
x86 UB15 debug Build Status: master-debug Build Status: develop-debug
x86 UB15 release-valgrind Build Status: master-release-valgrind Build Status: develop-release-valgrind
aarch64 release Build Status: master-release Build Status: develop-release
aarch64 relwithdebinfo Build Status: master-relwithdebinfo Build Status: develop-relwithdebinfo
aarch64 debug Build Status: master-debug Build Status: develop-debug
aarch64 release-valgrind Build Status: master-release-valgrind Build Status: develop-release-valgrind

To get an email notification for build failure (aka the hall of embarrassment), join our build-notification mailing list. You can simply subscribe the Jenkins's RSS, too.

Building Development Environment (For FOEDUS Developers)

We recommend newer Fedora, Ubuntu/Debian, etc. There are a few things you have to configure with sudo permission. See the Environment Setup section in foedus-core.

In Fedora/RedHat/CentOS etc, run the following:

sudo yum install gcc gcc-c++ libstdc* cmake glibc glibc-* valgrind valgrind-devel
sudo yum install libunwind libunwind-devel libdwarf libdwarf-devel
sudo yum install numactl numactl-devel google-perftools google-perftools-devel
sudo yum install papi papi-devel papi-static
sudo yum install python python-*
sudo yum install doxygen texlive-eps* graphviz mscgen texlive-epspdf sloccount kdevelop cloc

For valgrind, check its version after installation. If it is not 3.9 or later, we recommend installing a newer one. See the section below.

If you want to generate doxygen-pdf, also run the following:

sudo yum install texlive texlive-* okular

If you are the person to compile our rpm packages ("make package"), also run the following:

sudo yum install rpm-build

For Ubuntu/Debian, install equivalent modules. TBD: Ubuntu/Debian user, please provide an equivalent command. Especially, I know little about .deb packaging.

Compilation (For FOEDUS Developers)

To compile this project, simply build it as a CMake project. For example:

# Suppose you are at foedus_code.
# We prohibit in-source build, so you have to create a build folder and compile there.
mkdir build
cd build
# You can also use Release/RelWithDebInfo just like usual CMake projects.
cmake ../  -DCMAKE_BUILD_TYPE=Debug
make

Or, import it to C++ IDE, such as kdevelop. Any IDEs that support CMake build should work.

If you use kdevelop, don't forget to increase the degree of parallel compilation after importing the CMake project. The default is 2. You must get a new machine if this is a good number. Right click project, Click "Open Configuration", Click "Make" icon, "Number of simultaneous jobs".

Running Tests (For FOEDUS Developers)

Go to build folder, and:

ctest

or

ctest -j4
# Pick a test parallelization level according to your machine power. Remember some tests
# run many threads in them. 4 should be a good number.

In order to skip valgrind versions of the tests (because it takes long time!),

ctest -E valgrind

On the other hand, if you want to run only valgrind versions,

ctest -R valgrind

We strongly recommend to use valgrind 3.9 or later to run all tests on valgrind due to a performance issue fixed in valgrind 3.9. See the section below.

If valgrind reports a false positive or third party's bug, add them to foedus-core/tools/valgrind.supp.

valgrind --leak-check=full --suppressions=<path_to_valgrind.supp> --gen-suppressions=all ./<your_program>

For more details, check out CTEST/CMAKE documentation.

Notes for valgrind and installing the latest version of valgrind (For FOEDUS Developers)

Valgrind is a powerful tool to debug programs, and we keep our program free from memory-leak and bogus memory accesses by regularly running valgrind tests (once per hour on Jenkins).

You are also encouraged to run valgrind versions of tests on your machine. However, there is one issue in valgrind ~3.8 that makes it quite troublesome.

Valgrind executes programs in a single-threaded fashion. Thus, if your program has an infinite loop (eg spinlock) without yielding to other threads, valgrind never finishes the execution. This is why we must use our SPINLOCK_WHILE macro in such places, which occasionally calls foedus::assorted::spinlock_yield() (not too much to avoid unnecessary overhead, of course).

Even with these yielding, valgrind ~3.8 sometimes causes an infinite or semi-infinite loop in condition variables, or std::condition_variables::wait()/pthread_cond_wait(). This problem is fixed in valgrind 3.9, and you can see the difference by running tests-core/src/foedus/assorted/test_raw_atomics on valgrind 3.8.1 (almost always infinite loop) and valgrind 3.9.0 (always within a few sec).

If you are using an older linux distro (eg Fedora 19 whose latest valgrind in yum repo is 3.8.1), we strongly recommend to install latest valgrind from source. Follow these steps:

  • Download the source from here.
  • Usual triplet: "./configure --prefix=$HOME/local; make; make install" or "./configure --prefix=/usr/local; make; sudo make install" if you are a sudoer and others on the machine would like it.
  • Cleanly rebuild foedus so that our cmake script finds the newer valgrind installation. (the cmake script searches in this order: ~/local, /usr/local, /usr)
  • (Optional) Edit your environment variable to see $HOME/local/bin before /usr/bin. This is useful when you type "valgrind" in terminal, which might not happen often.

Notes for PAPI on Ivy Bridge (For FOEDUS Developers)

PAPI 5.1 (which is the version on FC19) does not support Ivy Bridge Family 6. You should source-build the latest PAPI. Make sure you have gfortran

sudo yum install gcc-gfortran
tar -xf papi-5.3.2.tar.gz
cd papi-5.3.2/src
./configure --prefix=$HOME/local; make; make install

Then cleanly build FOEDUS so that it picks up the latest version.

Git Push/Branch Convention (For FOEDUS Developers)

We follow the git-flow convention. Never ever directly push to master branch (most likely you do not have the permission anyways).

Each person should usually work on her/his own branch made from develop branch. On your own branch, do what you want. We recommend to run at least non-valgrind testcases either on relwithdebinfo or debug before commit, but it is really up to you.

Before pull request to develop branch, you must pass all testcases on relwithdebinfo, debug, and release, preferrably including valgrind versions (not mandatory if you are in hurry). But, if Jenkins reports an error on develop branch, others will yell at you.

We will process your pull requests on develop, then occasionally merge develop to master. The pull requests might have a few iterations of review/resubmit process. See Code Review Policy below.

Coding Convention (For FOEDUS Developers)

We conform to Google C++ Style Guide except the arguable rule on streams. See the discussions if you are interested (Dec 2014: I have realized that the latest cpplint actually disables this warning as well as allowing most C++11 features. The guide seems thoroughly revised around Sep14. Great!). Other minor differences from the convention:

  • Max 100 characters per line rather than 80 (you are welcomed to keep it within 80, though).
  • C++ file names are ".cpp" rather than ".cc", header files are ".hpp" rather than ".h".

We enforce the coding convention by cpplint.py. All projects run cpplint for every build and report violations as warnings.

In addition to the Google c++ convention, we have the following house-rules:

  • cpp/hpp are placed in folders that fully correspond to namespace hierarchy like a Java project.
  • Header include order: Same as what Google style defines, but there is something unclear in the guide; "alphabetical in each category". What cpplint.py enforces is actually "ASCII order". So, "aaa.hpp" comes before "aaaa.hpp". "aaa_abc.hpp" comes before "aaazabc.hpp". Also, we place headers under folders in a hierarchically consistent order. "aaa/a.hpp", "aaa/z.hpp", "aaa/b/foo.hpp", "aaa/b/hoge.hpp", "aaa/c/ccc.hpp" in this order. This is a bit different from original cpplint.py implementation (we modified the script for this).
  • We also force a blank line between categories of headers. So, it should be Include own-header (hpp with the same path as the cpp file), <blank line>, Include C system headers (eg <stdint.h>, <numa.h>), <blank line>, Include C++ system headers (eg <string>, <iostream>) <blank line>, Include other our headers (eg "foedus/memory/engine_memory.hpp"). Notice that we always use angle brackets for system headers and double quotes for our headers.
  • No importing or aliasing ("using") of namespace at all, even in c++ files. You might initially feel this results in lengthy code, but you will soon find it easier to understand others' code and not requiring additional typing as much as you thought.
  • If you are calling classes/methods in global namespace (which shouldn't exist in our code, so third party's), put "::" as prefix to clarify it's in global namespace (eg "::posix_memalign(foo)").
  • Class/function/variable comments must be in Doxygen format. Be beefy.
  • Each folder (== package, == namespace) has a header file named "namespace-info.hpp" which gives Doxygen documentation of the folder, just like "package-info.java" in Java projects.
  • Each folder has a header file named "fwd.hpp" which gives forward declarations of classes in the package. As the Google style guide recommends, prefer forward declarations as much as possible.
  • In addition to general C++ coding conventions, there are several foedus-specific programming idioms. Read our Doxygen document first to get familiar with them (see "FOEDUS Programming Idioms").

Code Review Policy (For FOEDUS Developers)

Each pull request must meet the following requirements before being merged.

  • Compile without errors and warnings (either compiler warnings or cpplint warnings).
  • Conform to our coding standards and house rules (see above).
  • Pass all testcases on relwithdebinfo, debug, and release, including valgrind versions in at least one of them.
  • A reasonable amount/quality of new unit testcases, depending on how much you changed/added.
  • A reasonable amount/quality of code comments, especially doxygen comments in hpp.
  • A summary of the changes in pull request comments.

Depending on the content of the change and your commit history, expect a few iterations. When the change is only in documentations (e.g., README, namespace-info.hpp), we will most likely process it immediately and you do not have to worry about testing the changes.

kdevelop-specific Recommendations (For FOEDUS Developers)

Only if you use kdevelop, and not if you have your own configuration (which is totally okay).

  • Settings, Configure Editor, Appearance, Borders, Enable "Show folding markers", "Show line numbers"
  • Settings, Configure Editor, Editing, "Show static word wrap marker" with 100 characters.
  • Settings, Configure Editor, Editing, Indentation, "Spaces" 2 characters.
  • Settings, Configure Editor, Open/Save, General, Append newline at end of file.

We also have a template file for creating new classes in kdevelop.

Right click a folder, "Create From Template", "Load Template From File", choose kdevtemplate.desktop under foedus-core/tools.

When you use it, specify your class name such as foedus::storage::masstree::MyNewClass. Unfortunately, kdevelop template has limited flexibility in a few things:

  • Manually edit the generated file name so that words are separated by "_" (eg my_new_class.cpp)
  • Manually edit the generated cpp/hpp path so that hpp is under include, cpp is under src.
  • Don't let the wizard add new cpp to a target. Most likely it puts it in a stupid place. Add it to a right place yourself.

At least kdevelop up to 4.x didn't like the almost-standard style where .cpp and .h are placed in separate folders (src and include).

eclipse-specific Recommendations (For FOEDUS Developers)

While eclipse-CDT doesn't support CMake projects as nicely as kdevelop, we know it's a great IDE in general. If you prefer eclipse, follow the following tips recommended here (again, we strongly prefer out-of-source builds, but you need a bit of trick to do it in eclipse):

# http://www.nightshadesoftware.org/projects/nightshade/wiki/CMake_and_Eclipse
# Suppose you are at foedus_code.
cd ..
mkdir foedus_code_eclipse_build   # build directory root at the same level as the source root
cd foedus_code_eclipse_build
cmake ../foedus_code -G"Eclipse CDT4 - Unix Makefiles" -DCMAKE_BUILD_TYPE=Debug

Now start up Eclipse and do the following to import the project.

  • File->Import...
  • General->Existing Projects into Workspace
  • For the root directory enter the build root directory, not the source root
  • Leave other options unchecked and click Finish

If you want to edit CMakeLists.txt or add new ones, we recommend repeating the same process. Eclipse sometimes works without it, sometimes not. We let yourself figure out other eclipse configurations for ctest/cpplint/git/etc and find cool plugins for them. Good luck, and let us know if there were some gotchas. You might find this helpful.

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