Welcome to Hyrise

Hyrise is a research in-memory database system that has been developed by HPI since 2009 and has been entirely rewritten in 2017. Our goal is to provide a clean and flexible platform for research in the area of in-memory data management. Its architecture allows us, our students, and other researchers to conduct experiments around new data management concepts. To enable realistic experiments, Hyrise features comprehensive SQL support and performs powerful query plan optimizations. Well-known benchmarks, such as TPC-H or TPC-DS, can be executed with a single command and without any preparation.

This readme file focuses on the technical aspects of the repository. For more background on our research and for a list of publications, please visit the Hyrise project page.

You can still find the (archived) previous version of Hyrise on Github.

Citation

When referencing this version of Hyrise, please use the following bibtex entry:

@inproceedings{DBLP:conf/edbt/DreselerK0KUP19,
  author    = {Markus Dreseler and
               Jan Kossmann and
               Martin Boissier and
               Stefan Klauck and
               Matthias Uflacker and
               Hasso Plattner},
  editor    = {Melanie Herschel and
               Helena Galhardas and
               Berthold Reinwald and
               Irini Fundulaki and
               Carsten Binnig and
               Zoi Kaoudi},
  title     = {Hyrise Re-engineered: An Extensible Database System for Research in
               Relational In-Memory Data Management},
  booktitle = {Advances in Database Technology - 22nd International Conference on
               Extending Database Technology, {EDBT} 2019, Lisbon, Portugal, March
               26-29, 2019},
  pages     = {313--324},
  publisher = {OpenProceedings.org},
  year      = {2019},
  url       = {https://doi.org/10.5441/002/edbt.2019.28},
  doi       = {10.5441/002/edbt.2019.28},
  timestamp = {Mon, 18 Mar 2019 16:09:00 +0100},
  biburl    = {https://dblp.org/rec/conf/edbt/DreselerK0KUP19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

Supported Systems

Hyrise is developed for Linux (preferrably the most current Ubuntu version) and optimized to run on server hardware. We support Mac to facilitate the local development of Hyrise, but do not recommend it for benchmarking.

Supported Benchmarks

We support a number of benchmarks out of the box. This makes it easy to generate performance numbers without having to set up the data generation, loading CSVs, and finding a query runner. You can run them using the ./hyriseBenchmark* binaries.

Getting started

Have a look at our contributor guidelines.

You can find definitions of most of the terms and abbreviations used in the code in the glossary. If you cannot find something that you are looking for, feel free to open an issue.

The Step by Step Guide is a good starting point to get to know Hyrise.

Native Setup

You can install the dependencies on your own or use the install_dependencies.sh script (recommended) which installs all of the therein listed dependencies and submodules. The install script was tested under macOS Big Sur (10.16) and Ubuntu 20.10 (apt-get).

See dependencies for a detailed list of dependencies to use with brew install or apt-get install, depending on your platform. As compilers, we generally use the most recent version of clang and gcc (Linux only). Please make sure that the system compiler points to the most recent version or use cmake (see below) accordingly. Older versions may work, but are neither tested nor supported.

Setup using Docker

If you want to create a Docker-based development environment using CLion, head over to our dedicated tutorial.

Otherwise, to get all dependencies of Hyrise into a Docker image, run

docker build -t hyrise .

You can start the container via

docker run -it hyrise

Inside the container, you can then checkout Hyrise and run ./install_dependencies.sh to download the required submodules.

Building and Tooling

It is highly recommended to perform out-of-source builds, i.e., creating a separate directory for the build. Advisable names for this directory would be cmake-build-{debug,release}, depending on the build type. Within this directory call cmake .. to configure the build. By default, we use very strict compiler flags (beyond -Wextra, including -Werror). If you use one of the officially supported environments, this should not be an issue. If you simply want to test Hyrise on a different system and run into issues, you can call cmake -DHYRISE_RELAXED_BUILD=On .., which will disable these strict checks. Subsequent calls to CMake, e.g., when adding files to the build will not be necessary, the generated Makefiles will take care of that.

Compiler choice

CMake will default to your system's default compiler. To use a different one, call cmake -DCMAKE_C_COMPILER=clang -DCMAKE_CXX_COMPILER=clang++ .. in a clean build directory. See dependencies for supported compiler versions.

Unity Builds

Starting with cmake 3.16, you can use -DCMAKE_UNITY_BUILD=On to perform unity builds. For a complete (re-)build or when multiple files have to be rebuilt, these are usually faster, as the relative cost of starting a compiler process and loading the most common headers is reduced. However, this only makes sense for debug builds. See our blog post on reducing the compilation time for details.

ccache

For development, you may want to use ccache, which reduces the time needed for recompiles significantly. Especially when switching branches, this can reduce the time to recompile from several minutes to one or less. On the downside, we have seen random build failures on our CI server, which is why we do not recommend ccache anymore but merely list it as an option. To use ccache, add -DCMAKE_CXX_COMPILER_LAUNCHER=ccache to your cmake call. You will need to adjust some ccache settings either in your environment variables or in your ccache config so that ccache can handle the precompiled headers. On our CI server, this worked for us: CCACHE_SLOPPINESS=file_macro,pch_defines,time_macros CCACHE_DEPEND=1.

Build

Simply call make -j*, where * denotes the number of threads to use.

Usually debug binaries are created. To configure a build directory for a release build make sure it is empty and call CMake like cmake -DCMAKE_BUILD_TYPE=Release

Lint

./scripts/lint.sh (Google's cpplint is used for the database code. In addition, we use flake8 for linting the Python scripts under /scripts.)

Format

./scripts/format.sh (clang-format is used for the database code. We use black for formatting the Python scripts under /scripts.)

Test

Calling make hyriseTest from the build directory builds all available tests. The binary can be executed with ./<YourBuildDirectory>/hyriseTest. Note, that the tests/sanitizers/etc need to be executed from the project root in order for table files to be found.

Coverage

./scripts/coverage.sh will print a summary to the command line and create detailed html reports at ./coverage/index.html

Supports only clang on MacOS and only gcc on linux

Address/UndefinedBehavior Sanitizers

cmake -DENABLE_ADDR_UB_SANITIZATION=ON will generate Makefiles with AddressSanitizer and Undefined Behavior options. Compile and run them as normal - if any issues are detected, they will be printed to the console. It will fail on the first detected error and will print a summary. To convert addresses to actual source code locations, make sure llvm-symbolizer is installed (included in the llvm package) and is available in $PATH. To specify a custom location for the symbolizer, set $ASAN_SYMBOLIZER_PATH to the path of the executable. This seems to work out of the box on macOS - If not, make sure to have llvm installed. The binary can be executed with LSAN_OPTIONS=suppressions=asan-ignore.txt ./<YourBuildDirectory>/hyriseTest.

cmake -DENABLE_THREAD_SANITIZATION=ON will work as above but with the ThreadSanitizer. Some sanitizers are mutually exclusive, which is why we use two configurations for this.

Compile Times

When trying to optimize the time spent building the project, it is often helpful to have an idea how much time is spent where. scripts/compile_time.sh helps with that. Get usage instructions by running it without any arguments.

Maintainers

• Jan Kossmann
• Markus Dreseler
• Martin Boissier
• Stefan Halfpap

Contact: [email protected]

Contributors

• Yannick Bäumer
• Lawrence Benson
• Timo Djürken
• Alexander Dubrawski
• Fabian Dumke
• Leonard Geier
• Richard Ebeling
• Fabian Engel
• Moritz Eyssen
• Martin Fischer
• Christian Flach
• Pedro Flemming
• Mathias Flüggen
• Johannes Frohnhofen
• Pascal Führlich
• Carl Gödecken
• Adrian Holfter
• Sven Ihde
• Ivan Illic
• Jonathan Janetzki
• Michael Janke
• Max Jendruk
• David Justen
• Youri Kaminsky
• Marvin Keller
• Mirko Krause
• Eva Krebs
• Sven Lehmann
• Till Lehmann
• Tom Lichtenstein
• Daniel Lindner
• Alexander Löser
• Jan Mattfeld
• Arne Mayer
• Dominik Meier
• Julian Menzler
• Torben Meyer
• Leander Neiß
• Hendrik Rätz
• Alexander Riese
• Johannes Schneider
• David Schumann
• Simon Siegert
• Arthur Silber
• Toni Stachewicz
• Daniel Stolpe
• Jonathan Striebel
• Nils Thamm
• Hendrik Tjabben
• Justin Trautmann
• Carsten Walther
• Marcel Weisgut
• Lukas Wenzel
• Fabian Wiebe
• Tim Zimmermann