Melt a Traditional Database (DuckB) to support ML-based prediction queries. We call this project as Duck Intermediate Representation (DuckIR) temporarily.
- A unified logical plan IR combined with DuckDB Logical plan and onnx Graph
- A unified metadata/catalog for ML related info storage
- A default query execution runtime (DuckDB with ONNX Runtime for now)
If you want to install and use DuckDB, please see our website for installation and usage instructions.
The website contains a reference of functions and SQL constructs available in DuckDB.
For development, DuckDB requires CMake, Python3 and a C++11 compliant compiler. Run make in the root directory to compile the sources. For development, use make debug to build a non-optimized debug version. You should run make unit and make allunit to verify that your version works properly after making changes. To test performance, you can run BUILD_BENCHMARK=1 BUILD_TPCH=1 make and then perform several standard benchmarks from the root directory by executing ./build/release/benchmark/benchmark_runner. The detail of benchmarks is in our Benchmark Guide.
Please also refer to our Contribution Guide.
If we install protobuf using system package manager, i.e.,
apt-get install libprotobuf-dev protobuf-compilerfor debian/ubuntu, we need to set -DONNX_USE_PROTOBUF_SHARED_LIBS=ON since this dist version compiled protobuf without '-fPIC' option.
This setting is the default for now.