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Building DuckDB from Source 14378
When Should You Build DuckDB? DuckDB binaries are available for stable and preview builds on the installation page . In most cases, it's recommended to use these binaries. When you are running on an experimental platform (e.g., Raspberry Pi ... eds CMake and a C++17-compliant compiler (e.g., GCC, Clang, Apple-Clang, MSVC). Additionally, we recommend using the Ninja build system , which automatically parallelizes the build process. Building with the Makefile A Makefile wraps the build process. ... in make make relassert make debug GEN=ninja make # for use with Ninja BUILD_BENCHMARK=1 make # build with benchmarks debug builds use a lot of disk space – make sure you have at least 25 GB available. Speeding up Subsequent Builds You can speed up subs ... equent builds using ccache . On macOS, you can install and configure it as follows: brew install ccache ccache -M 50G Platforms Platform ...
https://man.mtool.work/duckdb/2.0/dev/building/overview.html
Versioning of Extensions 11919
Extension Versioning Most software has some sort of version number. Version numbers serve a few important goals: Tie a binary to a specific state of the source code Allow determining the expected feature set Allow determining the state of t ... antic Versioning specification for details. The extension follows a release cycle where new features are tested in nightly builds before being grouped into a release and pushed to the core repository. Release notes describing what has been added each r ... ted version must be available for your DuckDB build and platform, otherwise the download fails with an HTTP error. Nightly Builds Just like DuckDB itself, DuckDB's core extensions have nightly or dev builds that can be used to try out features before t ... low depends on a new feature, or when you need to confirm that your stack is compatible with the upcoming version. Nightly builds for extensions are slightly complicated due to the fact that currently DuckDB extensions binaries are tightly bound to a s ...
https://man.mtool.work/duckdb/2.0/extensions/versioning_of_extensions.html
Building Extensions 10353
Extensions can be built from source and installed from the resulting local binary. Building Extensions To build using extension flags, set the BUILD_EXTENSIONS flag to the list of extensions that you want to be built. For example: BUILD_EXT ... Flags CRASH_ON_ASSERT D_ASSERT(condition) is used all throughout the code, these will throw an InternalException in debug builds. With this flag enabled, when the assertion triggers it will instead directly cause a crash. DISABLE_STRING_INLINE In our ... s: GEN=ninja EXTENSION_CONFIGS="extension_config.cmake" make Then, to install the extensions in one go, run: # for release builds cd build/release/extension/ # for debug builds cd build/debug/extension/ # install extensions for EXTENSION in *; do ../du ...
https://man.mtool.work/duckdb/2.0/dev/building/building_extensions.html
Installing Extensions 9303
To install core DuckDB extensions, use the INSTALL command. For example: INSTALL httpfs; This installs the extension from the default repository ( core ). Extension Repositories By default, DuckDB extensions are installed from a single repo ... kDB also supports installing extensions from other repositories. For example, the core_nightly repository contains nightly builds for core extensions that are built for the latest stable release of DuckDB. This allows users to try out new features in e ... ription core http://extensions.duckdb.org DuckDB core extensions core_nightly http://nightly-extensions.duckdb.org Nightly builds for core community http://community-extensions.duckdb.org DuckDB community extensions local_build_debug ./build/debug/repo ... me⟩/ For stable DuckDB releases, the ⟨duckdb_version⟩ will be equal to the version tag of that release. For nightly DuckDB builds, it will be equal to the first 10 characters of the build's commit hash. So for example, the extensions for DuckDB version ...
https://man.mtool.work/duckdb/2.0/extensions/installing_extensions.html
Installing and Loading the JSON Extension 9131
The json extension is shipped by default in DuckDB builds, otherwise, it will be transparently autoloaded on first use. If you would like to install and load it manually, run: INSTALL json; LOAD json; ...
https://man.mtool.work/duckdb/2.0/data/json/installing_and_loading.html
Windows 9131
On Windows, DuckDB requires the Microsoft Visual C++ Redistributable package both as a build-time and runtime dependency. Note that unlike the build process on UNIX-like systems, the Windows builds directly call CMake. Clang-cl To build Duc ... ows_release target invokes CMake with the bundled extensions configuration ( .github/config/bundled_extensions.cmake ) and builds DuckDB in Release mode. MSYS2 and MinGW64 DuckDB on Windows can also be built with MSYS2 and MinGW64 . Note that this buil ...
https://man.mtool.work/duckdb/2.0/dev/building/windows.html
Java (JDBC) Client 8959
Installation To use the DuckDB Java (JDBC) client, visit the Java installation page . The latest stable version of the DuckDB Java (JDBC) client is 2.0.0. The DuckDB Java (JDBC) client lets Java applications query DuckDB through the standar ... . Please see the installation page for details. Tip To try features before they reach a stable release, preview (nightly) builds of the JDBC driver are published as SNAPSHOT versions to DuckDB's snapshot repository at https://duckdb-staging.duckdb.org ... consumed directly by Maven. Add the repository to your build and depend on a duckdb_jdbc SNAPSHOT version. See the preview builds page for a full Maven example. Basic API Usage DuckDB's JDBC API implements the main parts of the standard Java Database C ...
https://man.mtool.work/duckdb/2.0/clients/java/overview.html
Unofficial and Unsupported Platforms 8786
Warning The platforms listed on this page are not officially supported. The build instructions are provided on a best-effort basis. Community contributions are very welcome. DuckDB is built and distributed for several platforms with differe ... rrors on certain operations. Therefore, its use is not recommended. RISC-V Architectures Native Build (Recommended) DuckDB builds natively on RISC-V 64-bit boards without any special flags. Tested on a BananaPi F3 ( SpacemiT K1 , rv64gc, 8 cores @ 1.6 ... t │ avg_val │ │ int64 │ double │ ├───────┼─────────┤ │ 1000 │ 1568.43 │ └───────┴─────────┘ The DuckDB Python package also builds successfully from source on riscv64: pip install duckdb --no-binary duckdb Build with RVV (RISC-V Vector Extension) On boa ...
https://man.mtool.work/duckdb/2.0/dev/building/unofficial_and_unsupported_platfo...
Python API 8614
Installation To use the DuckDB Python client, visit the Python installation page . The latest stable version of the DuckDB Python client is 2.0.0. Installation The DuckDB Python API can be installed using pip : pip install duckdb . Please s ... g conda : conda install python-duckdb -c conda-forge . Python version: DuckDB requires Python 3.11 or newer. Free-threaded builds of CPython are not supported. If you are upgrading from DuckDB 1.x, see Migrating Python Code to DuckDB 2.0 . Basic API Us ... ject is also a function of the duckdb module, which runs it on a global in-memory database. A few differ: duckdb.df(frame) builds a relation from a DataFrame, as con.from_df(frame) does, while con.df() fetches the result of execute() ; duckdb.arrow(obj ... ) builds a relation from an Arrow object; and description and rowcount are functions of the module but properties of a connection. ...
https://man.mtool.work/duckdb/2.0/clients/python/overview.html
Troubleshooting 8614
This page contains solutions to common problems reported by users. If you have platform-specific issues, make sure you also consult the troubleshooting guide for your platform such as the one for Linux builds . The Build Runs Out of Memory ...
https://man.mtool.work/duckdb/2.0/dev/building/troubleshooting.html
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