.. Licensed to the Apache Software Foundation (ASF) under one .. or more contributor license agreements. See the NOTICE file .. distributed with this work for additional information .. regarding copyright ownership. The ASF licenses this file .. to you under the Apache License, Version 2.0 (the .. "License"); you may not use this file except in compliance .. with the License. You may obtain a copy of the License at .. http://www.apache.org/licenses/LICENSE-2.0 .. Unless required by applicable law or agreed to in writing, .. software distributed under the License is distributed on an .. "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY .. KIND, either express or implied. See the License for the .. specific language governing permissions and limitations .. under the License. .. _developers-cpp-windows: ===================== Developing on Windows ===================== Like Linux and macOS, we have worked to enable builds to work "out of the box" with CMake for a reasonably large subset of the project. .. _windows-system-setup: System Setup ============ Microsoft provides the free Visual Studio Community edition. When doing development in the shell, you must initialize the development environment each time you open the shell. For Visual Studio 2017, execute the following batch script: .. code-block:: shell "C:\Program Files (x86)\Microsoft Visual Studio\2017\Community\Common7\Tools\VsDevCmd.bat" -arch=amd64 For Visual Studio 2019, the script is: .. code-block:: shell "C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\Common7\Tools\VsDevCmd.bat" -arch=amd64 One can configure a console emulator like `cmder `_ to automatically launch this when starting a new development console. Using conda-forge for build dependencies ======================================== `Miniconda `_ is a minimal Python distribution including the `conda `_ package manager. Some memers of the Apache Arrow community participate in the maintenance of `conda-forge `_, a community-maintained cross-platform package repository for conda. To use ``conda-forge`` for your C++ build dependencies on Windows, first download and install a 64-bit distribution from the `Miniconda homepage `_ To configure ``conda`` to use the ``conda-forge`` channel by default, launch a command prompt (``cmd.exe``), run the initialization command shown :ref:`above` (``vcvarsall.bat`` or ``VsDevCmd.bat``), then run the command: .. code-block:: shell conda config --add channels conda-forge Now, you can bootstrap a build environment (call from the root directory of the Arrow codebase): .. code-block:: shell conda create -y -n arrow-dev --file=ci\conda_env_cpp.txt Then "activate" this conda environment with: .. code-block:: shell activate arrow-dev If the environment has been activated, the Arrow build system will automatically see the ``%CONDA_PREFIX%`` environment variable and use that for resolving the build dependencies. This is equivalent to setting .. code-block:: shell -DARROW_DEPENDENCY_SOURCE=SYSTEM ^ -DARROW_PACKAGE_PREFIX=%CONDA_PREFIX%\Library To use the Visual Studio IDE with this conda environment activated, launch it by running the command ``devenv`` from the same command prompt. Note that dependencies installed as conda packages are built in release mode and cannot link with debug builds. If you intend to use ``-DCMAKE_BUILD_TYPE=debug`` then you must build the packages from source. ``-DCMAKE_BUILD_TYPE=relwithdebinfo`` is also available, which produces a build that can both be linked with release libraries and be debugged. .. note:: If you run into any problems using conda packages for dependencies, a very common problem is mixing packages from the ``defaults`` channel with those from ``conda-forge``. You can examine the installed packages in your environment (and their origin) with ``conda list`` Using vcpkg for build dependencies ======================================== `vcpkg `_ is an open source package manager from Microsoft. It hosts community-contributed ports of C and C++ packages and their dependencies. Arrow includes a manifest file `cpp/vcpkg.json `_ that specifies which vcpkg packages are required to build the C++ library. To use vcpkg for C++ build dependencies on Windows, first `install `_ and `integrate `_ vcpkg. Then change working directory in ``cmd.exe`` to the root directory of Arrow and run the command: .. code-block:: shell vcpkg install ^ --triplet x64-windows ^ --x-manifest-root cpp ^ --feature-flags=versions ^ --clean-after-build On Windows, vcpkg builds dynamic link libraries by default. Use the triplet ``x64-windows-static`` to build static libraries. vcpkg downloads source packages and compiles them locally, so installing dependencies with vcpkg is more time-consuming than with conda. Then in your ``cmake`` command, to use dependencies installed by vcpkg, set: .. code-block:: shell -DARROW_DEPENDENCY_SOURCE=VCPKG You can optionally set other variables to override the default CMake configurations for vcpkg, including: * ``-DCMAKE_TOOLCHAIN_FILE``: by default, the CMake scripts automatically find the location of the vcpkg CMake toolchain file ``vcpkg.cmake``; use this to instead specify its location * ``-DVCPKG_TARGET_TRIPLET``: by default, the CMake scripts attempt to infer the vcpkg `triplet `_; use this to instead specify the triplet * ``-DARROW_DEPENDENCY_USE_SHARED``: default is ``ON``; set to ``OFF`` for static libraries * ``-DVCPKG_MANIFEST_MODE``: default is ``ON``; set to ``OFF`` to ignore the ``vcpkg.json`` manifest file and only look for vcpkg packages that are already installed under the directory where vcpkg is installed Building using Visual Studio (MSVC) Solution Files ================================================== Change working directory in ``cmd.exe`` to the root directory of Arrow and do an out of source build by generating a MSVC solution: .. code-block:: shell cd cpp mkdir build cd build cmake .. -G "Visual Studio 15 2017" -A x64 ^ -DARROW_BUILD_TESTS=ON cmake --build . --config Release For newer versions of Visual Studio, specify the generator ``Visual Studio 16 2019`` or see ``cmake --help`` for available generators. Building with Ninja and clcache =============================== The `Ninja `_ build system offers better build parallelization, and the optional `clcache `_ compiler cache keeps track of past compilations to avoid running them over and over again (in a way similar to the Unix-specific ``ccache``). Newer versions of Visual Studio include Ninja. To see if your Visual Studio includes Ninja, run the initialization command shown :ref:`above` (``vcvarsall.bat`` or ``VsDevCmd.bat``), then run ``ninja --version``. If Ninja is not included in your version of Visual Studio, and you are using conda, activate your conda environment and install Ninja and clcache: .. code-block:: shell activate arrow-dev conda install -c conda-forge ninja pip install git+https://github.com/frerich/clcache.git If you are not using conda, `install Ninja from another source `_ and optionally `install clcache from another source `_ . After installation is complete, change working directory in ``cmd.exe`` to the root directory of Arrow and do an out of source build by generating Ninja files: .. code-block:: shell cd cpp mkdir build cd build cmake -G "Ninja" ^ -DCMAKE_C_COMPILER=clcache ^ -DCMAKE_CXX_COMPILER=clcache ^ -DARROW_BUILD_TESTS=ON ^ -DGTest_SOURCE=BUNDLED .. cmake --build . --config Release Setting ``CMAKE_C_COMPILER`` and ``CMAKE_CXX_COMPILER`` in the command line of ``cmake`` is the preferred method of using ``clcache``. Alternatively, you can set ``CC`` and ``CXX`` environment variables before calling ``cmake``: .. code-block:: shell ... set CC=clcache set CXX=clcache cmake -G "Ninja" ^ ... Building with NMake =================== Change working directory in ``cmd.exe`` to the root directory of Arrow and do an out of source build using ``nmake``: .. code-block:: shell cd cpp mkdir build cd build cmake -G "NMake Makefiles" .. nmake Building on MSYS2 ================= You can build on MSYS2 terminal, ``cmd.exe`` or PowerShell terminal. On MSYS2 terminal: .. code-block:: shell cd cpp mkdir build cd build cmake -G "MSYS Makefiles" .. make On ``cmd.exe`` or PowerShell terminal, you can use the following batch file: .. code-block:: batch setlocal REM For 64bit set MINGW_PACKAGE_PREFIX=mingw-w64-x86_64 set MINGW_PREFIX=c:\msys64\mingw64 set MSYSTEM=MINGW64 set PATH=%MINGW_PREFIX%\bin;c:\msys64\usr\bin;%PATH% rmdir /S /Q cpp\build mkdir cpp\build pushd cpp\build cmake -G "MSYS Makefiles" .. || exit /B make || exit /B popd Debug builds ============ To build a Debug version of Arrow, you should have pre-installed a Debug version of Boost. It's recommended to configure ``cmake`` with the following variables for Debug build: * ``-DARROW_BOOST_USE_SHARED=OFF``: enables static linking with boost debug libs and simplifies run-time loading of 3rd parties * ``-DBOOST_ROOT``: sets the root directory of boost libs. (Optional) * ``-DBOOST_LIBRARYDIR``: sets the directory with boost lib files. (Optional) The command line to build Arrow in Debug mode will look something like this: .. code-block:: shell cd cpp mkdir build cd build cmake .. -G "Visual Studio 15 2017" -A x64 ^ -DARROW_BOOST_USE_SHARED=OFF ^ -DCMAKE_BUILD_TYPE=Debug ^ -DBOOST_ROOT=C:/local/boost_1_63_0 ^ -DBOOST_LIBRARYDIR=C:/local/boost_1_63_0/lib64-msvc-14.0 cmake --build . --config Debug Windows dependency resolution issues ==================================== Because Windows uses ``.lib`` files for both static and dynamic linking of dependencies, the static library sometimes may be named something different like ``%PACKAGE%_static.lib`` to distinguish itself. If you are statically linking some dependencies, we provide some options * ``-DBROTLI_MSVC_STATIC_LIB_SUFFIX=%BROTLI_SUFFIX%`` * ``-DSNAPPY_MSVC_STATIC_LIB_SUFFIX=%SNAPPY_SUFFIX%`` * ``-LZ4_MSVC_STATIC_LIB_SUFFIX=%LZ4_SUFFIX%`` * ``-ZSTD_MSVC_STATIC_LIB_SUFFIX=%ZSTD_SUFFIX%`` To get the latest build instructions, you can reference `ci/appveyor-built.bat `_, which is used by automated Appveyor builds. Statically linking to Arrow on Windows ====================================== The Arrow headers on Windows static library builds (enabled by the CMake option ``ARROW_BUILD_STATIC``) use the preprocessor macro ``ARROW_STATIC`` to suppress dllimport/dllexport marking of symbols. Projects that statically link against Arrow on Windows additionally need this definition. The Unix builds do not use the macro. Replicating Appveyor Builds =========================== For people more familiar with linux development but need to replicate a failing appveyor build, here are some rough notes from replicating the ``Static_Crt_Build`` (make unittest will probably still fail but many unit tests can be made with there individual make targets). 1. Microsoft offers trial VMs for `Windows with Microsoft Visual Studio `_. Download and install a version. 2. Run the VM and install `Git `_, `CMake `_, and Miniconda or Anaconda (these instructions assume Anaconda). Also install the `"Build Tools for Visual Studio" `_. Make sure to select the C++ toolchain in the installer wizard, and reboot after installation. 3. Download `pre-built Boost debug binaries `_ and install it. Run this from an Anaconda/Miniconda command prompt (*not* PowerShell prompt), and make sure to run "vcvarsall.bat x64" first. The location of vcvarsall.bat will depend, it may be under a different path than commonly indicated, e.g. "``C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Auxiliary\Build\vcvarsall.bat``" with the 2019 build tools. .. code-block:: shell cd $EXTRACT_BOOST_DIRECTORY .\bootstrap.bat @rem This is for static libraries needed for static_crt_build in appveyor .\b2 link=static --with-filesystem --with-regex --with-system install @rem this should put libraries and headers in c:\Boost 4. Activate anaconda/miniconda: .. code-block:: shell @rem this might differ for miniconda C:\Users\User\Anaconda3\Scripts\activate 5. Clone and change directories to the arrow source code (you might need to install git). 6. Setup environment variables: .. code-block:: shell @rem Change the build type based on which appveyor job you want. SET JOB=Static_Crt_Build SET GENERATOR=Ninja SET APPVEYOR_BUILD_WORKER_IMAGE=Visual Studio 2017 SET USE_CLCACHE=false SET ARROW_BUILD_GANDIVA=OFF SET ARROW_LLVM_VERSION=8.0.* SET PYTHON=3.6 SET ARCH=64 SET PATH=C:\Users\User\Anaconda3;C:\Users\User\Anaconda3\Scripts;C:\Users\User\Anaconda3\Library\bin;%PATH% SET BOOST_LIBRARYDIR=C:\Boost\lib SET BOOST_ROOT=C:\Boost 7. Run appveyor scripts: .. code-block:: shell conda install -c conda-forge --file .\ci\conda_env_cpp.txt .\ci\appveyor-cpp-setup.bat @rem this might fail but at this point most unit tests should be buildable by there individual targets @rem see next line for example. .\ci\appveyor-cpp-build.bat @rem you can also just invoke cmake directly with the desired options cmake --build . --config Release --target arrow-compute-hash-test