.. 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. System Setup ============ Microsoft provides the free Visual Studio Community edition. When doing development in the shell, you must initialize the development environment. For Visual Studio 2015, execute the following batch script: .. code-block:: shell "C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\vcvarsall.bat" amd64 For Visual Studio 2017, the script is: .. code-block:: shell "C:\Program Files (x86)\Microsoft Visual Studio\2017\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``) and 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.yml 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 Note that these packages are only supported for release builds. If you intend to use ``-DCMAKE_BUILD_TYPE=debug`` then you must build the packages from source. .. 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`` 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 14 2015 Win64" ^ -DARROW_BUILD_TESTS=ON cmake --build . --config Release Building with Ninja and clcache =============================== The `Ninja `_ build system offsets better build parallelization, and the optional `clcache `_ compiler cache which keeps track of past compilations to avoid running them over and over again (in a way similar to the Unix-specific ``ccache``). Activate your conda build environment to first install those utilities: .. code-block:: shell activate arrow-dev conda install -c conda-forge ninja pip install git+https://github.com/frerich/clcache.git 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 build 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 14 2015 Win64" ^ -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 CMake and Miniconda or Anaconda (these instructions assume Anaconda). 3. Download `pre-built Boost debug binaries `_ and install it (run from command prompt opened by "Developer Command Prompt for MSVC 2017"): .. 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 .\ci\appveyor-install.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-build.bat cmake --build . --config Release --target arrow-compute-hash-test