NoisePage is a relational database management system developed by the Carnegie Mellon Database Group. The research goal of the NoisePage project is to develop high-performance system components that support autonomous operation and optimization as a first-class design principle.
Key Features
- Integrated machine learning components to forecast, model, and plan the system's behavior.
- Postgres compatible wire-protocol, SQL, and catalogs.
- Apache Arrow compatible in-memory columnar storage.
- Lock-free multi-version concurrency control.
- Just-in-time query compilation using the LLVM.
- Vectorized execution using relaxed-operator fusion (ROF).
- 100% Open-Source (MIT License)
Quickstart
The NoisePage project is built and tested on Ubuntu 20.04. No other environments are officially supported.
git clone https://github.com/cmu-db/noisepage.git
cd noisepage
sudo ./script/installation/packages.sh
mkdir build
cd build
cmake -GNinja -DCMAKE_BUILD_TYPE=Release -DNOISEPAGE_USE_JEMALLOC=ON -DNOISEPAGE_UNITY_BUILD=ON ..
ninja noisepage
./bin/noisepage
You can now connect to NoisePage over the Postgres client psql.
psql -h localhost -U noisepage -p 15721
Additional Notes:
- If you have less than 16 GB of RAM, use
-DNOISEPAGE_UNITY_BUILD=OFFin thecmakecommands above. - If you know what you're doing, install the prerequisite packages from
./script/installation/packages.shmanually.
For Developers
Please see the docs.
Contributing
If you are a current student at CMU,
- See the New Student Guide.
- Consider enrolling in one of the database courses.
Contributions from non-CMU students are also welcome!