forked from OSchip/llvm-project
648 lines
26 KiB
ReStructuredText
648 lines
26 KiB
ReStructuredText
Building
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========
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.. contents::
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:local:
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Getting the Sources
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-------------------
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Please refer to the `LLVM Getting Started Guide
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<https://llvm.org/docs/GettingStarted.html#getting-started-with-llvm>`_ for
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general instructions on how to check out the LLVM monorepo, which contains the
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LLDB sources.
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Git browser: https://github.com/llvm/llvm-project/tree/master/lldb
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Preliminaries
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-------------
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LLDB relies on many of the technologies developed by the larger LLVM project.
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In particular, it requires both Clang and LLVM itself in order to build. Due to
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this tight integration the Getting Started guides for both of these projects
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come as prerequisite reading:
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* `LLVM <https://llvm.org/docs/GettingStarted.html>`_
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* `Clang <http://clang.llvm.org/get_started.html>`_
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The following requirements are shared on all platforms.
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* `CMake <https://cmake.org>`_
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* `Ninja <https://ninja-build.org>`_ (strongly recommended)
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If you want to run the test suite, you'll need to build LLDB with Python
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scripting support.
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* `Python <http://www.python.org/>`_
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* `SWIG <http://swig.org/>`_ 2 or later.
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Optional Dependencies
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*********************
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Although the following dependencies are optional, they have a big impact on
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LLDB's functionality. It is strongly encouraged to build LLDB with these
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dependencies enabled.
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By default they are auto-detected: if CMake can find the dependency it will be
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used. It is possible to override this behavior by setting the corresponding
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CMake flag to ``On`` or ``Off`` to force the dependency to be enabled or
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disabled. When a dependency is set to ``On`` and can't be found it will cause a
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CMake configuration error.
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+-------------------+------------------------------------------------------+--------------------------+
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| Feature | Description | CMake Flag |
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+===================+======================================================+==========================+
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| Editline | Generic line editing, history, Emacs and Vi bindings | ``LLDB_ENABLE_LIBEDIT`` |
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+-------------------+------------------------------------------------------+--------------------------+
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| Curses | Text user interface | ``LLDB_ENABLE_CURSES`` |
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+-------------------+------------------------------------------------------+--------------------------+
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| LZMA | Lossless data compression | ``LLDB_ENABLE_LZMA`` |
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+-------------------+------------------------------------------------------+--------------------------+
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| Libxml2 | XML | ``LLDB_ENABLE_LIBXML2`` |
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+-------------------+------------------------------------------------------+--------------------------+
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| Python | Python scripting | ``LLDB_ENABLE_PYTHON`` |
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+-------------------+------------------------------------------------------+--------------------------+
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| Lua | Lua scripting | ``LLDB_ENABLE_LUA`` |
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+-------------------+------------------------------------------------------+--------------------------+
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Depending on your platform and package manager, one might run any of the
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commands below.
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::
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> yum install libedit-devel libxml2-devel ncurses-devel python-devel swig
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> sudo apt-get install build-essential subversion swig python2.7-dev libedit-dev libncurses5-dev
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> pkg install swig python
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> pkgin install swig python27 cmake ninja-build
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> brew install swig cmake ninja
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Windows
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*******
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* Visual Studio 2017.
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* The latest Windows SDK.
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* The Active Template Library (ATL).
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* `GnuWin32 <http://gnuwin32.sourceforge.net/>`_ for CoreUtils and Make.
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* `Python 3.6 or 3.8 <https://www.python.org/downloads/windows/>`_. Python 3.7
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is known to be incompatible. Make sure to (1) get the x64 variant if that's
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what you're targetting and (2) install the debug library if you want to build
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a debug lldb.
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* `Python Tools for Visual Studio
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<https://github.com/Microsoft/PTVS/releases>`_. If you plan to debug test
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failures or even write new tests at all, PTVS is an indispensable debugging
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extension to VS that enables full editing and debugging support for Python
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(including mixed native/managed debugging).
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The steps outlined here describes how to set up your system and install the
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required dependencies such that they can be found when needed during the build
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process. They only need to be performed once.
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#. Install Visual Studio with the Windows SDK and ATL components.
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#. Install GnuWin32, making sure ``<GnuWin32 install dir>\bin`` is added to
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your PATH environment variable. Verify that utilities like ``dirname`` and
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``make`` are available from your terminal.
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#. Install SWIG for Windows, making sure ``<SWIG install dir>`` is added to
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your PATH environment variable. Verify that ``swig`` is available from your
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terminal.
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#. Register the Debug Interface Access DLLs with the Registry from a privileged
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terminal.
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::
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> regsvr32 "C:\Program Files (x86)\Microsoft Visual Studio\2017\Community\DIA SDK\bin\msdia140.dll"
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> regsvr32 "C:\Program Files (x86)\Microsoft Visual Studio\2017\Community\DIA SDK\bin\amd64\msdia140.dll"
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Any command prompt from which you build LLDB should have a valid Visual Studio
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environment setup. This means you should run ``vcvarsall.bat`` or open an
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appropriate Visual Studio Command Prompt corresponding to the version you wish
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to use.
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macOS
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*****
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* To use the in-tree debug server on macOS, lldb needs to be code signed. For
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more information see :ref:`CodeSigning` below.
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* If you are building both Clang and LLDB together, be sure to also check out
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libc++, which is a required for testing on macOS.
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Building LLDB with CMake
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------------------------
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The LLVM project is migrating to a single monolithic respository for LLVM and
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its subprojects. This is the recommended way to build LLDB. Check out the
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source-tree with git:
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::
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> git clone https://github.com/llvm/llvm-project.git
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CMake is a cross-platform build-generator tool. CMake does not build the
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project, it generates the files needed by your build tool. The recommended
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build tool for LLVM is Ninja, but other generators like Xcode or Visual Studio
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may be used as well. Please also read `Building LLVM with CMake
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<https://llvm.org/docs/CMake.html>`_.
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Regular in-tree builds
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**********************
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Create a new directory for your build-tree. From there run CMake and point it
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to the ``llvm`` directory in the source-tree:
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::
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> cmake -G Ninja -DLLVM_ENABLE_PROJECTS="clang;lldb" [<cmake options>] path/to/llvm-project/llvm
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We used the ``LLVM_ENABLE_PROJECTS`` option here to tell the build-system which
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subprojects to build in addition to LLVM (for more options see
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:ref:`CommonCMakeOptions` and :ref:`CMakeCaches`). Parts of the LLDB test suite
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require ``lld``. Add it to the list in order to run all tests. Once CMake is done,
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run ninja to perform the actual build. We pass ``lldb`` here as the target, so
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it only builds what is necessary to run the lldb driver:
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::
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> ninja lldb
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Standalone builds
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*****************
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This is another way to build LLDB. We can use the same source-tree as we
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checked out above, but now we will have multiple build-trees:
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* the main build-tree for LLDB in ``/path/to/lldb-build``
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* one or more provided build-trees for LLVM and Clang; for simplicity we use a
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single one in ``/path/to/llvm-build``
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Run CMake with ``-B`` pointing to a new directory for the provided
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build-tree\ :sup:`1` and the positional argument pointing to the ``llvm``
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directory in the source-tree. Note that we leave out LLDB here and only include
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Clang. Then we build the ``ALL`` target with ninja:
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::
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> cmake -B /path/to/llvm-build -G Ninja \
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-DLLVM_ENABLE_PROJECTS=clang \
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[<more cmake options>] /path/to/llvm-project/llvm
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> ninja
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Now run CMake a second time with ``-B`` pointing to a new directory for the
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main build-tree and the positional argument pointing to the ``lldb`` directory
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in the source-tree. In order to find the provided build-tree, the build system
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looks for the path to its CMake modules in ``LLVM_DIR``. If you use a separate
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build directory for Clang, remember to pass its module path via ``Clang_DIR``
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(CMake variables are case-sensitive!):
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::
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> cmake -B /path/to/lldb-build -G Ninja \
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-DLLVM_DIR=/path/to/llvm-build/lib/cmake/llvm \
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[<more cmake options>] /path/to/llvm-project/lldb
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> ninja lldb
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.. note::
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#. The ``-B`` argument was undocumented for a while and is only officially
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supported since `CMake version 3.14
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<https://cmake.org/cmake/help/v3.14/release/3.14.html#command-line>`_
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.. _CommonCMakeOptions:
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Common CMake options
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********************
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Following is a description of some of the most important CMake variables which
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you are likely to encounter. A variable FOO is set by adding ``-DFOO=value`` to
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the CMake command line.
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If you want to debug the lldb that you're building -- that is, build it with
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debug info enabled -- pass two additional arguments to cmake before running
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ninja:
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::
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> cmake -G Ninja \
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-DLLDB_EXPORT_ALL_SYMBOLS=1 \
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-DCMAKE_BUILD_TYPE=Debug
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<path to root of llvm source tree>
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If you want to run the test suite, you will need a compiler to build the test
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programs. If you have Clang checked out, that will be used by default.
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Alternatively, you can specify a C and C++ compiler to be used by the test
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suite.
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::
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> cmake -G Ninja \
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-DLLDB_TEST_COMPILER=<path to C compiler> \
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<path to root of llvm source tree>
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It is strongly recommend to use a release build for the compiler to speed up
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test execution.
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Windows
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^^^^^^^
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On Windows the LLDB test suite requires lld. Either add ``lld`` to
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``LLVM_ENABLE_PROJECTS`` or disable the test suite with
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``LLDB_ENABLE_TESTS=OFF``.
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Although the following CMake variables are by no means Windows specific, they
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are commonly used on Windows.
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* ``LLDB_TEST_DEBUG_TEST_CRASHES`` (Default=0): If set to 1, will cause Windows
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to generate a crash dialog whenever lldb.exe or the python extension module
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crashes while running the test suite. If set to 0, LLDB will silently crash.
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Setting to 1 allows a developer to attach a JIT debugger at the time of a
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crash, rather than having to reproduce a failure or use a crash dump.
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* ``PYTHON_HOME`` (Required): Path to the folder where the Python distribution
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is installed. For example, ``C:\Python35``.
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* ``LLDB_RELOCATABLE_PYTHON`` (Default=0): When this is 0, LLDB will bind
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statically to the location specified in the ``PYTHON_HOME`` CMake variable,
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ignoring any value of ``PYTHONHOME`` set in the environment. This is most
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useful for developers who simply want to run LLDB after they build it. If you
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wish to move a build of LLDB to a different machine where Python will be in a
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different location, setting ``LLDB_RELOCATABLE_PYTHON`` to 1 will cause
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Python to use its default mechanism for finding the python installation at
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runtime (looking for installed Pythons, or using the ``PYTHONHOME``
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environment variable if it is specified).
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Sample command line:
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::
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> cmake -G Ninja^
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-DLLDB_TEST_DEBUG_TEST_CRASHES=1^
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-DPYTHON_HOME=C:\Python35^
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-DLLDB_TEST_COMPILER=d:\src\llvmbuild\ninja_release\bin\clang.exe^
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<path to root of llvm source tree>
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Building with ninja is both faster and simpler than building with Visual Studio,
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but chances are you still want to debug LLDB with an IDE. One solution is to run
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cmake twice and generate the output into two different folders. One for
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compiling (the ninja folder), and one for editing, browsing and debugging.
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Follow the previous instructions in one directory, and generate a Visual Studio
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project in another directory.
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::
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> cmake -G "Visual Studio 15 2017 Win64" -Thost=x64 <cmake variables> <path to root of llvm source tree>
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Then you can open the .sln file in Visual Studio, set lldb as the startup
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project, and use F5 to run it. You need only edit the project settings to set
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the executable and the working directory to point to binaries inside of the
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ninja tree.
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macOS
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^^^^^
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On macOS the LLDB test suite requires libc++. Either add ``libcxx`` to
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``LLVM_ENABLE_PROJECTS`` or disable the test suite with
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``LLDB_ENABLE_TESTS=OFF``. Further useful options:
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* ``LLDB_BUILD_FRAMEWORK:BOOL``: Builds the LLDB.framework.
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* ``LLDB_CODESIGN_IDENTITY:STRING``: Set the identity to use for code-signing
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all executables. If not explicitly specified, only ``debugserver`` will be
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code-signed with identity ``lldb_codesign`` (see :ref:`CodeSigning`).
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* ``LLDB_USE_SYSTEM_DEBUGSERVER:BOOL``: Use the system's debugserver, so lldb is
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functional without setting up code-signing.
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.. _CMakeCaches:
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CMake caches
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************
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CMake caches allow to store common sets of configuration options in the form of
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CMake scripts and can be useful to reproduce builds for particular use-cases
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(see by analogy `usage in LLVM and Clang <https://llvm.org/docs/AdvancedBuilds.html>`_).
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A cache is passed to CMake with the ``-C`` flag, following the absolute path to
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the file on disk. Subsequent ``-D`` options are still allowed. Please find the
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currently available caches in the `lldb/cmake/caches/
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<https://github.com/llvm/llvm-project/tree/master/lldb/cmake/caches>`_
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directory.
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Common configurations on macOS
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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Build, test and install a distribution of LLDB from the `monorepo
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<https://github.com/llvm/llvm-project>`_ (see also `Building a Distribution of
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LLVM <https://llvm.org/docs/BuildingADistribution.html>`_):
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::
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> git clone https://github.com/llvm/llvm-project
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> cmake -B /path/to/lldb-build -G Ninja \
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-C /path/to/llvm-project/lldb/cmake/caches/Apple-lldb-macOS.cmake \
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-DLLVM_ENABLE_PROJECTS="clang;libcxx;lldb" \
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llvm-project/llvm
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> DESTDIR=/path/to/lldb-install ninja -C /path/to/lldb-build check-lldb install-distribution
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.. _CMakeGeneratedXcodeProject:
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Build LLDB standalone for development with Xcode:
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::
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> git clone https://github.com/llvm/llvm-project
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> cmake -B /path/to/llvm-build -G Ninja \
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-C /path/to/llvm-project/lldb/cmake/caches/Apple-lldb-base.cmake \
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-DLLVM_ENABLE_PROJECTS="clang;libcxx" \
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llvm-project/llvm
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> ninja -C /path/to/llvm-build
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> cmake -B /path/to/lldb-build \
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-C /path/to/llvm-project/lldb/cmake/caches/Apple-lldb-Xcode.cmake \
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-DLLVM_DIR=/path/to/llvm-build/lib/cmake/llvm \
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llvm-project/lldb
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> open lldb.xcodeproj
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> cmake --build /path/to/lldb-build --target check-lldb
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.. note::
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The ``-B`` argument was undocumented for a while and is only officially
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supported since `CMake version 3.14
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<https://cmake.org/cmake/help/v3.14/release/3.14.html#command-line>`_
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Building the Documentation
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--------------------------
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If you wish to build the optional (reference) documentation, additional
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dependencies are required:
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* Sphinx (for the website)
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* Graphviz (for the 'dot' tool)
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* doxygen (if you wish to build the C++ API reference)
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* epydoc (if you wish to build the Python API reference)
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To install the prerequisites for building the documentation (on Debian/Ubuntu)
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do:
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::
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> sudo apt-get install doxygen graphviz python3-sphinx
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> sudo pip install epydoc
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To build the documentation, configure with ``LLVM_ENABLE_SPHINX=ON`` and build the desired target(s).
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::
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> ninja docs-lldb-html
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> ninja docs-lldb-man
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> ninja lldb-cpp-doc
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> ninja lldb-python-doc
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Cross-compiling LLDB
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--------------------
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In order to debug remote targets running different architectures than your
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host, you will need to compile LLDB (or at least the server component) for the
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target. While the easiest solution is to just compile it locally on the target,
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this is often not feasible, and in these cases you will need to cross-compile
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LLDB on your host.
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Cross-compilation is often a daunting task and has a lot of quirks which depend
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on the exact host and target architectures, so it is not possible to give a
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universal guide which will work on all platforms. However, here we try to
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provide an overview of the cross-compilation process along with the main things
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you should look out for.
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First, you will need a working toolchain which is capable of producing binaries
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for the target architecture. Since you already have a checkout of clang and
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lldb, you can compile a host version of clang in a separate folder and use
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that. Alternatively you can use system clang or even cross-gcc if your
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distribution provides such packages (e.g., ``g++-aarch64-linux-gnu`` on
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Ubuntu).
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Next, you will need a copy of the required target headers and libraries on your
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host. The libraries can be usually obtained by copying from the target machine,
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however the headers are often not found there, especially in case of embedded
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platforms. In this case, you will need to obtain them from another source,
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either a cross-package if one is available, or cross-compiling the respective
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library from source. Fortunately the list of LLDB dependencies is not big and
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if you are only interested in the server component, you can reduce this even
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further by passing the appropriate cmake options, such as:
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::
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-DLLDB_ENABLE_PYTHON=0
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-DLLDB_ENABLE_LIBEDIT=0
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-DLLDB_ENABLE_CURSES=0
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-DLLVM_ENABLE_TERMINFO=0
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In this case you, will often not need anything other than the standard C and
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C++ libraries.
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Once all of the dependencies are in place, it's just a matter of configuring
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the build system with the locations and arguments of all the necessary tools.
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The most important cmake options here are:
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* ``CMAKE_CROSSCOMPILING`` : Set to 1 to enable cross-compilation.
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* ``CMAKE_LIBRARY_ARCHITECTURE`` : Affects the cmake search path when looking
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for libraries. You may need to set this to your architecture triple if you do
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not specify all your include and library paths explicitly.
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* ``CMAKE_C_COMPILER``, ``CMAKE_CXX_COMPILER`` : C and C++ compilers for the
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target architecture
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* ``CMAKE_C_FLAGS``, ``CMAKE_CXX_FLAGS`` : The flags for the C and C++ target
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compilers. You may need to specify the exact target cpu and abi besides the
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include paths for the target headers.
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* ``CMAKE_EXE_LINKER_FLAGS`` : The flags to be passed to the linker. Usually
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just a list of library search paths referencing the target libraries.
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* ``LLVM_TABLEGEN``, ``CLANG_TABLEGEN`` : Paths to llvm-tblgen and clang-tblgen
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for the host architecture. If you already have built clang for the host, you
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can point these variables to the executables in your build directory. If not,
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you will need to build the llvm-tblgen and clang-tblgen host targets at
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least.
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* ``LLVM_HOST_TRIPLE`` : The triple of the system that lldb (or lldb-server)
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will run on. Not setting this (or setting it incorrectly) can cause a lot of
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issues with remote debugging as a lot of the choices lldb makes depend on the
|
|
triple reported by the remote platform.
|
|
|
|
You can of course also specify the usual cmake options like
|
|
``CMAKE_BUILD_TYPE``, etc.
|
|
|
|
Example 1: Cross-compiling for linux arm64 on Ubuntu host
|
|
*********************************************************
|
|
|
|
Ubuntu already provides the packages necessary to cross-compile LLDB for arm64.
|
|
It is sufficient to install packages ``gcc-aarch64-linux-gnu``,
|
|
``g++-aarch64-linux-gnu``, ``binutils-aarch64-linux-gnu``. Then it is possible
|
|
to prepare the cmake build with the following parameters:
|
|
|
|
::
|
|
|
|
-DCMAKE_CROSSCOMPILING=1 \
|
|
-DCMAKE_C_COMPILER=aarch64-linux-gnu-gcc \
|
|
-DCMAKE_CXX_COMPILER=aarch64-linux-gnu-g++ \
|
|
-DLLVM_HOST_TRIPLE=aarch64-unknown-linux-gnu \
|
|
-DLLVM_TABLEGEN=<path-to-host>/bin/llvm-tblgen \
|
|
-DCLANG_TABLEGEN=<path-to-host>/bin/clang-tblgen \
|
|
-DLLDB_ENABLE_PYTHON=0 \
|
|
-DLLDB_ENABLE_LIBEDIT=0 \
|
|
-DLLDB_ENABLE_CURSES=0
|
|
|
|
An alternative (and recommended) way to compile LLDB is with clang.
|
|
Unfortunately, clang is not able to find all the include paths necessary for a
|
|
successful cross-compile, so we need to help it with a couple of CFLAGS
|
|
options. In my case it was sufficient to add the following arguments to
|
|
``CMAKE_C_FLAGS`` and ``CMAKE_CXX_FLAGS`` (in addition to changing
|
|
``CMAKE_C(XX)_COMPILER`` to point to clang compilers):
|
|
|
|
::
|
|
|
|
-target aarch64-linux-gnu \
|
|
-I /usr/aarch64-linux-gnu/include/c++/4.8.2/aarch64-linux-gnu \
|
|
-I /usr/aarch64-linux-gnu/include
|
|
|
|
If you wanted to build a full version of LLDB and avoid passing
|
|
``-DLLDB_ENABLE_PYTHON=0`` and other options, you would need to obtain the
|
|
target versions of the respective libraries. The easiest way to achieve this is
|
|
to use the qemu-debootstrap utility, which can prepare a system image using
|
|
qemu and chroot to simulate the target environment. Then you can install the
|
|
necessary packages in this environment (python-dev, libedit-dev, etc.) and
|
|
point your compiler to use them using the correct -I and -L arguments.
|
|
|
|
Example 2: Cross-compiling for Android on Linux
|
|
***********************************************
|
|
|
|
In the case of Android, the toolchain and all required headers and libraries
|
|
are available in the Android NDK.
|
|
|
|
The NDK also contains a cmake toolchain file, which makes configuring the build
|
|
much simpler. The compiler, include and library paths will be configured by the
|
|
toolchain file and all you need to do is to select the architecture
|
|
(ANDROID_ABI) and platform level (``ANDROID_PLATFORM``, should be at least 21).
|
|
You will also need to set ``ANDROID_ALLOW_UNDEFINED_SYMBOLS=On``, as the
|
|
toolchain file defaults to "no undefined symbols in shared libraries", which is
|
|
not compatible with some llvm libraries. The first version of NDK which
|
|
supports this approach is r14.
|
|
|
|
For example, the following arguments are sufficient to configure an android
|
|
arm64 build:
|
|
|
|
::
|
|
|
|
-DCMAKE_TOOLCHAIN_FILE=$ANDROID_NDK_HOME/build/cmake/android.toolchain.cmake \
|
|
-DANDROID_ABI=arm64-v8a \
|
|
-DANDROID_PLATFORM=android-21 \
|
|
-DANDROID_ALLOW_UNDEFINED_SYMBOLS=On \
|
|
-DLLVM_HOST_TRIPLE=aarch64-unknown-linux-android \
|
|
-DCROSS_TOOLCHAIN_FLAGS_NATIVE='-DCMAKE_C_COMPILER=cc;-DCMAKE_CXX_COMPILER=c++'
|
|
|
|
Note that currently only lldb-server is functional on android. The lldb client
|
|
is not supported and unlikely to work.
|
|
|
|
Verifying Python Support
|
|
------------------------
|
|
|
|
LLDB has a Python scripting capability and supplies its own Python module named
|
|
lldb. If a script is run inside the command line lldb application, the Python
|
|
module is made available automatically. However, if a script is to be run by a
|
|
Python interpreter outside the command line application, the ``PYTHONPATH``
|
|
environment variable can be used to let the Python interpreter find the lldb
|
|
module.
|
|
|
|
The correct path can be obtained by invoking the command line lldb tool with
|
|
the -P flag:
|
|
|
|
::
|
|
|
|
> export PYTHONPATH=`$llvm/build/Debug+Asserts/bin/lldb -P`
|
|
|
|
If you used a different build directory or made a release build, you may need
|
|
to adjust the above to suit your needs. To test that the lldb Python module is
|
|
built correctly and is available to the default Python interpreter, run:
|
|
|
|
::
|
|
|
|
> python -c 'import lldb'
|
|
|
|
|
|
Make sure you're using the Python interpreter that matches the Python library
|
|
you linked against. For more details please refer to the :ref:`caveats
|
|
<python_caveat>`.
|
|
|
|
.. _CodeSigning:
|
|
|
|
Code Signing on macOS
|
|
---------------------
|
|
|
|
To use the in-tree debug server on macOS, lldb needs to be code signed. The
|
|
Debug, DebugClang and Release builds are set to code sign using a code signing
|
|
certificate named ``lldb_codesign``. This document explains how to set up the
|
|
signing certificate.
|
|
|
|
Note that it's possible to build and use lldb on macOS without setting up code
|
|
signing by using the system's debug server. To configure lldb in this way with
|
|
cmake, specify ``-DLLDB_USE_SYSTEM_DEBUGSERVER=ON``.
|
|
|
|
If you have re-installed a new OS, please delete all old ``lldb_codesign`` items
|
|
from your keychain. There will be a code signing certification and a public
|
|
and private key. Reboot after deleting them. You will also need to delete and
|
|
build folders that contained old signed items. The darwin kernel will cache
|
|
code signing using the executable's file system node, so you will need to
|
|
delete the file so the kernel clears its cache.
|
|
|
|
Automatic setup:
|
|
|
|
* Run ``scripts/macos-setup-codesign.sh``
|
|
|
|
Manual setup steps:
|
|
|
|
* Launch /Applications/Utilities/Keychain Access.app
|
|
* In Keychain Access select the ``login`` keychain in the ``Keychains`` list in
|
|
the upper left hand corner of the window.
|
|
* Select the following menu item: Keychain Access->Certificate Assistant->Create a Certificate...
|
|
* Set the following settings
|
|
|
|
::
|
|
|
|
Name = lldb_codesign
|
|
Identity Type = Self Signed Root
|
|
Certificate Type = Code Signing
|
|
|
|
* Click Create
|
|
* Click Continue
|
|
* Click Done
|
|
* Click on the "My Certificates"
|
|
* Double click on your new ``lldb_codesign`` certificate
|
|
* Turn down the "Trust" disclosure triangle, scroll to the "Code Signing" trust
|
|
pulldown menu and select "Always Trust" and authenticate as needed using your
|
|
username and password.
|
|
* Drag the new ``lldb_codesign`` code signing certificate (not the public or
|
|
private keys of the same name) from the ``login`` keychain to the ``System``
|
|
keychain in the Keychains pane on the left hand side of the main Keychain
|
|
Access window. This will move this certificate to the ``System`` keychain.
|
|
You'll have to authorize a few more times, set it to be "Always trusted" when
|
|
asked.
|
|
* Remove ``~/Desktop/lldb_codesign.cer`` file on your desktop if there is one.
|
|
* In the Keychain Access GUI, click and drag ``lldb_codesign`` in the
|
|
``System`` keychain onto the desktop. The drag will create a
|
|
``Desktop/lldb_codesign.cer`` file used in the next step.
|
|
* Switch to Terminal, and run the following:
|
|
|
|
::
|
|
|
|
sudo security add-trust -d -r trustRoot -p basic -p codeSign -k /Library/Keychains/System.keychain ~/Desktop/lldb_codesign.cer
|
|
rm -f ~/Desktop/lldb_codesign.cer
|
|
|
|
* Drag the ``lldb_codesign`` certificate from the ``System`` keychain back into
|
|
the ``login`` keychain
|
|
* Quit Keychain Access
|
|
* Reboot
|
|
* Clean by removing all previously creating code signed binaries and rebuild
|
|
lldb and you should be able to debug.
|
|
|
|
When you build your LLDB for the first time, the Xcode GUI will prompt you for
|
|
permission to use the ``lldb_codesign`` keychain. Be sure to click "Always
|
|
Allow" on your first build. From here on out, the ``lldb_codesign`` will be
|
|
trusted and you can build from the command line without having to authorize.
|
|
Also the first time you debug using a LLDB that was built with this code
|
|
signing certificate, you will need to authenticate once.
|