forked from OSchip/llvm-project
531 lines
30 KiB
HTML
Executable File
531 lines
30 KiB
HTML
Executable File
<!DOCTYPE HTML PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
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<html xmlns="http://www.w3.org/1999/xhtml">
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<head>
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<meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1" />
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<link href="style.css" rel="stylesheet" type="text/css" />
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<title>Building LLDB</title>
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</head>
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<body>
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<div class="www_title">
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The <strong>LLDB</strong> Debugger
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</div>
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<div id="container">
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<div id="content">
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<!--#include virtual="sidebar.incl"-->
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<div id="middle">
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<h1 class="postheader">Continuous Integration</h1>
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<div class="postcontent">
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<p>
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The following LLVM buildbots build and test LLDB trunk:
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<ul>
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<li> <a href="http://lab.llvm.org:8011/builders/lldb-x86_64-ubuntu-14.04-cmake">LLDB Ubuntu 14.04 x86_64 (CMake, clang-3.5+/gcc-4.8, i386/x86_64)</a>
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</li>
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<li> <a href="http://lab.llvm.org:8011/builders/lldb-x86_64-ubuntu-14.04-android">LLDB Ubuntu 14.04 x86_64->Android (CMake, gcc-4.9 arm/arm64/x86)</a>
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</li>
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<li> <a href="http://lab.llvm.org:8011/builders/lldb-x86_64-darwin-13.4">LLDB Mac OS X 10.9.5 x86_64 (Xcode)</a>
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</li>
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<li> <a href="http://lab.llvm.org:8011/builders/lldb-x86-windows-msvc">LLDB Windows Server 2008 x86 (CMake, MSVS 2013, Windows SDK 8.1, no tests)</a>
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</li>
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<li> <a href="http://lab.llvm.org:8011/builders/lldb-x86-win7-msvc">LLDB Windows 7 x86 (CMake, MSVS 2013, Windows SDK 8.1, no tests)</a>
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</li>
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<li> <a href="http://lab.llvm.org:8011/builders/lldb-x86_64-debian-clang">LLDB Ubuntu 14.04 x86_64 build (automake, Clang 3.4, VMware Workstation)</a>
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</li>
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<li> <a href="http://lab.llvm.org:8011/builders/lldb-x86_64-freebsd">LLDB FreeBSD x86_64 (CMake)</a>
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</li>
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<li> <a href="http://lab.llvm.org:8011/builders/lldb-amd64-ninja-netbsd7">LLDB NetBSD-7.0 amd64 (GCC 4.8.5, Ninja)</a>
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</li>
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</ul>
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</p>
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</div>
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<div class="postfooter"></div>
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<div class="post">
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<h1 class="postheader">Building LLDB</h1>
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<ul>
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<li><a href="#BuildingLldbOnWindows">Building LLDB on Windows</a></li>
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<li><a href="#BuildingLldbOnMacOSX">Building LLDB on Mac OSX</a></li>
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<li><a href="#BuildingLldbOnLinux">Building LLDB on Linux, FreeBSD and NetBSD</a></li>
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</ul>
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</div>
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<div class="postfooter"></div>
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<div class="post" id="BuildingLldbOnWindows">
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<h1 class="postheader">Building LLDB on Windows</h1>
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<div class="postcontent">
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<h2>Required Dependencies</h2>
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<ul>
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<li>Visual Studio 2015 or greater</li>
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<li>Windows SDK 8.0 or higher. In general it is best to use the latest available version.</li>
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<li>
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<a href="https://www.python.org/downloads/windows/">Python 3.5 or higher</a> or higher. Earlier
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versions of Python can be made to work by compiling your own distribution from source,
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but this workflow is unsupported and you are own your own.
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</li>
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<li><a href="https://ninja-build.org/">Ninja build tool</a> (strongly recommended)</li>
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<li><a href="http://gnuwin32.sourceforge.net/">GnuWin32</a></li>
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<li><a href="http://www.swig.org/download.html">SWIG for Windows (version 3+)</a></li>
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</ul>
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<h2>Optional Dependencies</h2>
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<ul>
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<li><a href="https://github.com/Microsoft/PTVS/releases">Python Tools for Visual Studio</a>. If you
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plan to debug test failures or even write new tests at all, PTVS is an indispensable debugging extension
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to VS that enables full editing and debugging support for Python (including mixed native/managed debugging)</li>
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</ul>
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<h2 id="WindowsPreliminaries">Preliminaries</h2>
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<p>
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This section describes how to set up your system and install the required dependencies such that
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they can be found when needed during the build process. The steps outlined here only need to
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be performed once.
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</p>
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<ol>
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<li><p>Install Visual Studio and the Windows SDK.</p></li>
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<li><p>Install GnuWin32, making sure <code><GnuWin32 install dir>\bin</code> is added to your <code>PATH</code> environment variable.</p></li>
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<li><p>Install SWIG for Windows, making sure <code><SWIG install dir></code> is added to your <code>PATH</code> environment variable.</p></li>
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</ol>
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<h2>Building LLDB</h2>
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<p>
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Any command prompt from which you build LLDB should have a valid Visual Studio environment setup.
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This means you should run <code>vcvarsall.bat</code> or open an appropriate Visual Studio Command Prompt
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corresponding to the version you wish to use.
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</p>
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<p>Finally, when you are ready to build LLDB, generate CMake with the following command line:</p>
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<code>cmake -G Ninja <cmake variables> <path to root of llvm src tree></code>
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<p>and run <code>ninja</code> to build LLDB. Information about running the LLDB test suite can be found on the <a href="test.html">test</a> page.</p>
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<p>
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Following is a description of some of the most important CMake variables which you are likely to encounter.
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A variable <code>FOO</code> is set by adding <code>-DFOO=value</code> to the CMake command line.
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</p>
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<ul>
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<li>
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<b>LLDB_TEST_DEBUG_TEST_CRASHES</b> (Default=0): If set to 1, will cause Windows to generate a crash
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dialog whenever lldb.exe or the python extension module crashes while running the test suite. If set to
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0, LLDB will silently crash. Setting to 1 allows a developer to attach a JIT debugger at the time of
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a crash, rather than having to reproduce a failure or use a crash dump.
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</li>
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<li>
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<b>PYTHON_HOME</b> (Required): Path to the folder where the Python distribution is installed. For example,
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C:\Python35
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</li>
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<li>
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<b>LLDB_RELOCATABLE_PYTHON</b> (Default=0): When this is 0, LLDB will bind statically to the location specified
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in the PYTHON_HOME CMake variable, ignoring any value of PYTHONHOME set in the environment. This is most useful for
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developers who simply want to run LLDB after they build it. If you wish to move a build of LLDB to a different
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machine where Python will be in a different location, setting LLDB_RELOCATABLE_PYTHON to 1 will cause Python to
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use its default mechanism for finding the python installation at runtime (looking for installed Pythons, or using
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the PYTHONHOME environment variable if it is specified).
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</li>
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<li>
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<b>LLDB_TEST_C_COMPILER</b> or <b>LLDB_TEST_CXX_COMPILER</b>: The test suite needs to be able to find a copy of clang.exe
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that it can use to compile inferior programs. Note that MSVC is not supported here, it <strong>must</strong> be a path to a
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clang executable. Note that using a release clang.exe is strongly recommended here, as it will make the test suite run much faster.
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This can be a path to any recent clang.exe, including one you built yourself. These variables are ignored unless the respective
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<strong>LLDB_TEST_USE_CUSTOM_C_COMPILER</strong> and <strong>LLDB_TEST_USE_CUSTOM_CXX_COMPILER</strong> are set to ON.
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</li>
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</ul>
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Sample command line:<br/>
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<code>cmake -G Ninja -DLLDB_TEST_DEBUG_TEST_CRASHES=1 -DPYTHON_HOME=C:\Python35 -DLLDB_TEST_USE_CUSTOM_C_COMPILER=ON -DLLDB_TEST_C_COMPILER=d:\src\llvmbuild\ninja_release\bin\clang.exe ..\..\llvm</code>
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<h2>Working with both Ninja and MSVC</h2>
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<p>
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Compiling with <code>ninja</code> is both faster and simpler than compiling with MSVC, but chances are you still want
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to debug LLDB with MSVC (at least until we can debug LLDB on Windows with LLDB!). One solution to this is to run
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<code>cmake</code> twice and generate the output into two different folders. One for compiling (the <code>ninja</code>
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folder), and one for editing / browsing / debugging (the MSVC folder).
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</p>
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<p>
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To do this, simply run <code>`cmake -G Ninja <arguments>`</code> from one folder, and
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<code>`cmake -G "Visual Studio 14 2015" <arguments>`</code> in another folder. Then you can open the .sln file
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in Visual Studio, set <code>lldb</code> as the startup project, and use F5 to run it. You need only edit the project
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settings to set the executable and the working directory to point to binaries inside of the <code>ninja</code> tree.
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</p>
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</div>
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</div>
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<div class="post" id="BuildingLldbOnMacOSX">
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<h1 class="postheader">Building LLDB on Mac OS X</h1>
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<div class="postcontent">
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<p> There are two ways to build LLDB on Mac OS X: Using Xcode and using CMake
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</div>
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<div class="postcontent">
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<h2>Preliminaries</h2>
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<ul>
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<li>XCode 4.3 or newer requires the "Command Line Tools" component (XCode->Preferences->Downloads->Components).</li>
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<li>Mac OS X Lion or newer requires installing <a href="http://swig.org">Swig</a>.</li>
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</ul>
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<h2>Building LLDB with Xcode</h2>
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<p>Building on Mac OS X with Xcode is as easy as downloading the code and building the Xcode project or workspace:</p>
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<ul>
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<li><a href="download.html">Download</a> the lldb sources.</li>
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<li>Follow the code signing instructions in <b>lldb/docs/code-signing.txt</b></li>
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<li>In Xcode 3.x: <b>lldb/lldb.xcodeproj</b>, select the <b>lldb-tool</b> target, and build.</li>
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<li>In Xcode 4.x: <b>lldb/lldb.xcworkspace</b>, select the <b>lldb-tool</b> scheme, and build.</li>
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</ul>
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<h2>Building LLDB with CMake</h2>
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<p> First download the LLVM, Clang, libc++ and LLDB sources. Refer to <a href="source.html">this page</a> for precise instructions on this step.</p>
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<p> Refer to the code signing instructions in <b>lldb/docs/code-signing.txt</b> for info on codesigning debugserver during the build.</p>
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<p> Using CMake is documented on the <a href="http://llvm.org/docs/CMake.html">Building LLVM with CMake</a> page.
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Ninja is the recommended generator to use when building LLDB with CMake.</p>
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<code>
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> cmake $PATH_TO_LLVM -G Ninja
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<br />> ninja lldb
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</code>
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<p>
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As noted in the "Building LLVM with CMake" page mentioned above, you can pass
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variables to cmake to change build behavior. If LLDB is built as a part of LLVM,
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then you can pass LLVM-specific CMake variables to cmake when building LLDB.
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</p>
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<p>Here are some commonly used LLDB-specific CMake variables:</p>
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<ul>
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<li><code><b>LLDB_EXPORT_ALL_SYMBOLS</b>:BOOL </code>: Exports all symbols. Useful in conjunction with CMAKE_BUILD_TYPE=Debug.</li>
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<li><code><b>LLDB_BUILD_FRAMEWORK</b>:BOOL </code>: Builds LLDB.framework as Xcode would</li>
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<li><code><b>LLDB_CODESIGN_IDENTITY</b>:STRING </code>: Determines the codesign identity to use. An empty string means skip building debugserver to avoid codesigning.</li>
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</ul>
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</div>
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<div class="postfooter"></div>
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</div>
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<div class="post" id="BuildingLldbOnLinux">
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<h1 class="postheader">Building LLDB on Linux, FreeBSD and NetBSD</h1>
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<div class="postcontent">
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<p>This document describes the steps needed to compile LLDB on most Linux systems, FreeBSD and NetBSD.</a></p>
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</div>
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<div class="postcontent">
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<h2>Preliminaries</h2>
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<p>
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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 <em>Getting Started</em> guides for both of these projects
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come as prerequisite reading:
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</p>
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<ul>
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<li><a href="http://llvm.org/docs/GettingStarted.html">LLVM</a></li>
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<li><a href="http://clang.llvm.org/get_started.html">Clang</a></li>
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</ul>
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<p>Supported compilers for building LLDB on Linux include:</p>
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<ul>
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<li>Clang 3.2</li>
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<li><a href="http://gcc.gnu.org">GCC</a> 4.6.2 (later versions should work as well)</li>
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</ul>
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<p>It is recommended to use libstdc++ 4.6 (or higher) to build LLDB on Linux, but using libc++ is also known to work.</p>
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<p>
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On FreeBSD the base system Clang and libc++ may be used to build LLDB,
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or the GCC port or package.
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</p>
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<p>
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On NetBSD the base system GCC and libstdc++ are used to build LLDB,
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Clang/LLVM and libc++ should also work.
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</p>
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<p>
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In addition to any dependencies required by LLVM and Clang, LLDB needs a few
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development packages that may also need to be installed depending on your
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system. The current list of dependencies are:
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</p>
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<ul>
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<li><a href="http://swig.org">Swig</a></li>
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<li><a href="http://www.thrysoee.dk/editline">libedit</a> (Linux only)</li>
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<li><a href="http://www.python.org">Python</a></li>
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</ul>
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<p>So for example, on a Fedora system one might run:</p>
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<code>> yum install libedit-devel libxml2-devel ncurses-devel python-devel swig</code>
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<p>On a Debian or Ubuntu system one might run:</p>
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<code>> sudo apt-get install build-essential subversion swig python2.7-dev libedit-dev libncurses5-dev </code>
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<p>or</p>
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<code>> sudo apt-get build-dep lldb-3.3 # or lldb-3.4</code>
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<p>On FreeBSD one might run:</p>
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<code>> pkg install swig python</code>
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<p>On NetBSD one might run:</p>
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<code>> pkgin install swig python27 cmake ninja-build</code>
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<p>If you wish to build the optional reference documentation, additional dependencies are required:</p>
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<ul>
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<li> Graphviz (for the 'dot' tool).
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</li>
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<li> doxygen (only if you wish to build the C++ API reference)
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</li>
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<li> epydoc (only if you wish to build the Python API reference)
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</li>
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</ul>
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<p>To install the prerequisites for building the documentation (on Debian/Ubuntu) do:</p>
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<code>
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<br />> sudo apt-get install doxygen graphviz
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<br />> sudo pip install epydoc # or install package python-epydoc
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</code>
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<h2>Building LLDB</h2>
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<p>
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We first need to checkout the source trees into the appropriate locations. Both
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Clang and LLDB build as subprojects of LLVM. This means we will be checking out
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the source for both Clang and LLDB into the <tt>tools</tt> subdirectory of LLVM. We
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will be setting up a directory hierarchy looking something like this:
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</p>
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<p>
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<pre><tt>
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llvm
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`-- tools
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+-- clang
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`-- lldb
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</tt></pre>
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</p>
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<p>
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For reference, we will call the root of the LLVM project tree <tt>$llvm</tt>, and the
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roots of the Clang and LLDB source trees <tt>$clang</tt> and <tt>$lldb</tt> respectively.
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</p>
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<p>Change to the directory where you want to do development work and checkout LLVM:</p>
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<code>> svn co http://llvm.org/svn/llvm-project/llvm/trunk llvm</code>
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<p>Now switch to LLVM’s tools subdirectory and checkout both Clang and LLDB:</p>
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<code>
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> cd $llvm/tools
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<br />> svn co http://llvm.org/svn/llvm-project/cfe/trunk clang
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<br />> svn co http://llvm.org/svn/llvm-project/lldb/trunk lldb
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</code>
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<p>
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In general, building the LLDB trunk revision requires trunk revisions of both
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LLVM and Clang.
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</p>
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<p>
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It is highly recommended that you build the system out of tree. Create a second
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build directory and configure the LLVM project tree to your specifications as
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outlined in LLVM’s <em>Getting Started Guide</em>. A typical build procedure
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might be:
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</p>
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<code>
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> cd $llvm/..
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<br />> mkdir build
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<br />> cd build
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</code>
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<h2>To build with CMake</h2>
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<p>
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Using CMake is documented on the <a href="http://llvm.org/docs/CMake.html">Building LLVM with CMake</a>
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page. Building LLDB is possible using one of the following generators:
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</p>
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<ul>
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<li> Ninja </li>
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<li> Unix Makefiles </li>
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</ul>
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<h3>Using CMake + Ninja</h3>
|
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<p>
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Ninja is the fastest way to build LLDB! In order to use ninja, you need to have recent versions of CMake and
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ninja on your system. To build using ninja:
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</p>
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<code>
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> cmake ../llvm -G Ninja
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<br />> ninja lldb
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<br />> ninja check-lldb
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</code>
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<p>
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If you want to debug the lldb that you're building -- that is, build it with debug info enabled -- pass
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two additional arguments to cmake before running ninja:
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</p>
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<code>
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> cmake ../llvm -G Ninja -DLLDB_EXPORT_ALL_SYMBOLS=1 -DCMAKE_BUILD_TYPE=Debug
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</code>
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<h3>Using CMake + Unix Makefiles</h3>
|
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<p>If you do not have Ninja, you can still use CMake to generate Unix Makefiles that build LLDB:</p>
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<code>
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> cmake ..
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<br />> make
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<br />> make check-lldb
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</code>
|
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<h2>Building API reference documentation</h2>
|
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<p>
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LLDB exposes a C++ as well as a Python API. To build the reference documentation for these two APIs, ensure you have
|
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the required dependencies installed, and build the <tt>lldb-python-doc</tt> and <tt>lldb-cpp-doc</tt> CMake targets.
|
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</p>
|
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<p> The output HTML reference documentation can be found in <tt><build-dir>/tools/lldb/docs/</tt>.</p><p>
|
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<h2>Additional Notes</h2>
|
|
</p>
|
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<p>
|
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LLDB has a Python scripting capability and supplies its own Python module named <tt>lldb</tt>.
|
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If a script is run inside the command line <tt>lldb</tt> application, the Python module
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is made available automatically. However, if a script is to be run by a Python interpreter
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outside the command line application, the <tt>PYTHONPATH</tt> environment variable can be used
|
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to let the Python interpreter find the <tt>lldb</tt> module.
|
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</p>
|
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<p>
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Current stable NetBSD release doesn't ship with libpanel(3), therefore it's required to disable curses(3) support with
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the <tt>-DLLDB_DISABLE_CURSES:BOOL=TRUE</tt> option. To make sure check if <tt>/usr/include/panel.h</tt> exists in your
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system.
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</p>
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<p>The correct path can be obtained by invoking the command line <tt>lldb</tt> tool with the -P flag:</p>
|
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<code>> export PYTHONPATH=`$llvm/build/Debug+Asserts/bin/lldb -P`</code>
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<p>
|
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If you used a different build directory or made a release build, you may need to adjust the
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above to suit your needs. To test that the lldb Python module
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is built correctly and is available to the default Python interpreter, run:
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</p>
|
|
<code>> python -c 'import lldb'</code></p>
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<h2 id="cross-compilation">Cross-compiling LLDB</h2>
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<p>
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In order to debug remote targets running different architectures than your host, you
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will need to compile LLDB (or at least the server component) for the target. While
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the easiest solution is to just compile it locally on the target, this is often not
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feasible, and in these cases you will need to cross-compile LLDB on your host.
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</p>
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<p>
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Cross-compilation is often a daunting task and has a lot of quirks which depend on
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the exact host and target architectures, so it is not possible to give a universal
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guide which will work on all platforms. However, here we try to provide an overview
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of the cross-compilation process along with the main things you should look out for.
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</p>
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<p>
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First, you will need a working toolchain which is capable of producing binaries for
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the target architecture. Since you already have a checkout of clang and lldb, you
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can compile a host version of clang in a separate folder and use that.
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Alternatively you can use system clang or even cross-gcc if your distribution
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provides such packages (e.g., <code>g++-aarch64-linux-gnu</code>
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on Ubuntu).
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</p>
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<p>
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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, either
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a cross-package if one is available, or cross-compiling the respective library from
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source. Fortunately the list of LLDB dependencies is not big and if you are only
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interested in the server component, you can reduce this even further by passing the
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appropriate cmake options, such as:
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</p>
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<code>
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-DLLDB_DISABLE_LIBEDIT=1<br/>
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-DLLDB_DISABLE_CURSES=1<br/>
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-DLLDB_DISABLE_PYTHON=1<br/>
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-DLLVM_ENABLE_TERMINFO=0
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</code>
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<p>
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In this case you, will often not need anything other than the standard C and C++
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libraries.
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</p>
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<p>
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Once all of the dependencies are in place, it's just a matter of configuring the
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build system with the locations and arguments of all the necessary tools. The most
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important cmake options here are:
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</p>
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<dl>
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<dt>CMAKE_CROSSCOMPILING</dt>
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<dd>Set to 1 to enable cross-compilation.</dd>
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<dt>CMAKE_LIBRARY_ARCHITECTURE</dt>
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<dd>Affects the cmake search path when looking for libraries. You may need to set
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this to your architecture triple if you do not specify all your include and
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library paths explicitly.</dd>
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<dt>CMAKE_C_COMPILER, CMAKE_CXX_COMPILER</dt>
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<dd>C and C++ compilers for the target architecture</dd>
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<dt>CMAKE_C_FLAGS, CMAKE_CXX_FLAGS</dt>
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<dd>The flags for the C and C++ target compilers. You may need to specify the
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exact target cpu and abi besides the include paths for the target headers.</dd>
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<dt>CMAKE_EXE_LINKER_FLAGS</dt>
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<dd>The flags to be passed to the linker. Usually just a list of library search
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paths referencing the target libraries.</dd>
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<dt>LLVM_TABLEGEN, CLANG_TABLEGEN</dt>
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<dd>Paths to llvm-tblgen and clang-tblgen for the <em>host</em> architecture. If
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you already have built clang for the host, you can point these variables to the
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executables in your build directory. If not, you will need to build the
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llvm-tblgen and clang-tblgen host targets at least.<dd>
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<dt>LLVM_HOST_TRIPLE</dt>
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<dd>The triple of the system that lldb (or lldb-server) will run on. Not setting
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this (or setting it incorrectly) can cause a lot of issues with remote debugging
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as a lot of the choices lldb makes depend on the triple reported by the remote
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platform.</dd>
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</dl>
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<p>
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You can of course also specify the usual cmake options like CMAKE_BUILD_TYPE, etc.
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</p>
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<h3>Example 1: Cross-compiling for linux arm64 on Ubuntu host</h3>
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<p>
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Ubuntu already provides the packages necessary to cross-compile LLDB for arm64. It
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is sufficient to install packages gcc-aarch64-linux-gnu, g++-aarch64-linux-gnu,
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binutils-aarch64-linux-gnu. Then it is possible to prepare the cmake build with the
|
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following parameters:
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</p>
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<code>
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-DCMAKE_CROSSCOMPILING=1 \<br/>
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-DCMAKE_C_COMPILER=aarch64-linux-gnu-gcc \<br/>
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-DCMAKE_CXX_COMPILER=aarch64-linux-gnu-g++ \<br/>
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-DLLVM_HOST_TRIPLE=aarch64-unknown-linux-gnu \<br/>
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-DLLVM_TABLEGEN=<path-to-host>/bin/llvm-tblgen \<br/>
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-DCLANG_TABLEGEN=<path-to-host>/bin/clang-tblgen \<br/>
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-DLLDB_DISABLE_PYTHON=1 \<br/>
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-DLLDB_DISABLE_LIBEDIT=1 \<br/>
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-DLLDB_DISABLE_CURSES=1
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</code>
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<p>
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An alternative (and recommended) way to compile LLDB is with clang. Unfortunately,
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clang is not able to find all the include paths necessary for a successful
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|
cross-compile, so we need to help it with a couple of CFLAGS options. In my case it
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was sufficient to add the following arguments to CMAKE_C_FLAGS and CMAKE_CXX_FLAGS
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(in addition to changing CMAKE_C(XX)_COMPILER to point to clang compilers):
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</p>
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<code>
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-target aarch64-linux-gnu \<br/>
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-I /usr/aarch64-linux-gnu/include/c++/4.8.2/aarch64-linux-gnu \<br/>
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-I /usr/aarch64-linux-gnu/include
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</code>
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<p>
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If you wanted to build a full version of LLDB and avoid passing
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-DLLDB_DISABLE_PYTHON 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
|
|
<code>qemu-debootstrap</code> 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
|
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compiler to use them using the correct -I and -L arguments.
|
|
</p>
|
|
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<h3>Example 2: Cross-compiling for Android on Linux</h3>
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|
<p>
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|
In the case of Android, the toolchain and all required headers and
|
|
libraries are available in the Android NDK.
|
|
</p>
|
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<p>
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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
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|
need to do is to select the architecture (ANDROID_ABI) and
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|
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.
|
|
</p>
|
|
<p>
|
|
For example, the following arguments are sufficient to configure
|
|
an android arm64 build:
|
|
</p>
|
|
<code>
|
|
-DCMAKE_TOOLCHAIN_FILE=$ANDROID_NDK_HOME/build/cmake/android.toolchain.cmake \<br/>
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|
-DANDROID_ABI=arm64-v8a \<br/>
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-DANDROID_PLATFORM=android-21 \<br/>
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|
-DANDROID_ALLOW_UNDEFINED_SYMBOLS=On \<br/>
|
|
-DLLVM_HOST_TRIPLE=aarch64-unknown-linux-android \<br/>
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-DCROSS_TOOLCHAIN_FLAGS_NATIVE='-DCMAKE_C_COMPILER=cc;-DCMAKE_CXX_COMPILER=c++' <br/>
|
|
</code>
|
|
|
|
<p>
|
|
Note that currently only lldb-server is functional on android. The
|
|
lldb client is not supported and unlikely to work.
|
|
</p>
|
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</div>
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<div class="postfooter"></div>
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