llvm-project/lldb/www/build.html

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<title>Building LLDB</title>
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The <strong>LLDB</strong> Debugger
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<h1 class="postheader">Continuous Integraton</h1>
<div class="postcontent">
<p>
The following LLVM buildbots build and test LLDB trunk:
<ul>
<li> <a href="http://lab.llvm.org:8011/builders/lldb-x86_64-debian-clang">LLDB Linux x86_64 build with Clang (automake)</a>
</li>
<li> <a href="http://lab.llvm.org:8011/builders/lldb-x86_64-linux">LLDB Linux x86_64 build with GCC 4.6 (automake)</a>
</li>
<li> <a href="http://lab.llvm.org:8011/builders/lldb-x86_64-darwin12">LLDB Mac OS X x86_64 build with Clang (XCode)</a>
</li>
<li> <a href="http://llvm-amd64.freebsd.your.org:8010/builders/lldb-amd64-freebsd">LLDB FreeBSD x86_64 (CMake)</a>
</li>
<li> <a href="http://llvm-amd64.freebsd.your.org:8010/builders/lldb-i386-freebsd">LLDB FreeBSD i386</a>
</li>
</ul>
</p>
</div>
<div class="postfooter"></div>
<div class="post">
<h1 class="postheader">Building LLDB</h1>
<ul>
<li><a href="#BuildingLldbOnWindows">Building LLDB on Windows</a></li>
<li><a href="#BuildingLldbOnMacOSX">Building LLDB on Mac OSX</a></li>
<li><a href="#BuildingLldbOnLinux">Building LLDB on Linux and FreeBSD</a></li>
</ul>
</div>
<div class="postfooter"></div>
<div class="post" id="BuildingLldbOnWindows">
<h1 class="postheader">Building LLDB on Windows</h1>
<div class="postcontent">
<h2>Required Dependencies</h2>
<ul>
<li>Visual Studio 2012 or greater</li>
<li>Windows SDK 8.0 or higher</li>
<li>
<a href="https://www.python.org/download/releases/2.7/">Python 2.7</a>. Note that you <b>must</b>
compile Python from source. See <a href="#WindowsPreliminaries">Preliminaries</a> for more
information.
</li>
<li><a href="http://martine.github.io/ninja/">Ninja build tool</a> (strongly recommended)</li>
<li><a href="http://gnuwin32.sourceforge.net/">GnuWin32</a></li>
<li><a href="http://www.swig.org/download.html">SWIG for Windows</a></li>
</ul>
<h2 id="WindowsPreliminaries">Preliminaries</h2>
<p>
This section describes how to set up your system and install the required dependencies such that
they can be found when needed during the build process. The steps outlined here only need to
be performed once.
</p>
<ol>
<li><p>Install Visual Studio and the Windows SDK.</p></li>
<li>
<p>
Build Python from source using the solution file supplied with the Python 2.7 source
distribution.
</p>
<p>
Because LLDB functionality is compiled into a Python extension module,
the extension module must be compiled with the same version of Visual Studio that
Python itself was compiled with. The binary release of Python 2.7 is compiled with
Visual Studio 2008, so it is incompatible with linking against LLDB.
</p>
<p>
Note that if you plan to do both debug and release builds of LLDB, you will need to
compile both debug and release builds of Python.
</p>
</li>
<li>
<p>Copy &lt;python src dir&gt;\PC\pyconfig.h to &lt;python src dir&gt;\Include.</p>
<p>
This is necessary because pyconfig.h is a hand-maintained file which is platform specific,
so multiple copies of this file are included with each source distribution. It appears to
be up to the person building Python to move the correct version of pyconfig.h to the Include
folder.
</p>
</li>
<li><p>Install GnuWin32, making sure &lt;GnuWin32 install dir&gt;\bin is added to your PATH environment variable.</p></li>
<li><p>Install SWIG for Windows, making sure &lt;SWIG install dir&gt; is added to your PATH environment variable.</p></li>
<li>
<p>(Optional) Create a file somewhere on your disk called llvm_env.bat and add the following code to it:</p>
<code>
@ECHO OFF<br /><br />
IF "%1" == "build" goto do_build<br />
IF "%1" == "dev" goto do_dev<br />
ECHO Unknown option, expected "build" or "dev"<br />
goto do_end<br /><br />
:do_build<br />
ECHO Initializing MSVC Build Environment...<br />
CALL "c:\Program Files (x86)\Microsoft Visual Studio 12.0\vc\vcvarsall.bat"<br />
ECHO Initializing Python environment...<br />
set PYTHONPATH=&lt;python src dir&gt;\Lib;&lt;cmake gen dir&gt;\lib\site-packages<br />
set PATH=%PATH%;&lt;python src dir&gt;\PCbuild<br />
goto do_end<br /><br />
:do_dev<br />
set PYTHONPATH=<br />
goto do_end<br />
:do_end<br />
</code>
</li>
<li>
<p>
(Optional) To make the process of setting up the environment before building more convenient, you can
optionally create a shortcut with the following properties:
</p>
<code>%windir%\system32\cmd.exe /K &lt;path-to-llvm_env.bat&gt; build</code>
</li>
</ol>
<h2>Building LLDB</h2>
<p>
Any command prompt from which you build LLDB should have a valid Visual Studio environment setup.
This means you should run vcvarsall.bat or open an appropriate Visual Studio Command Prompt
corresponding to the version you wish to use. Additionally, in order for LLDB to be able to locate
Python to link against, you will need to set up your PYTHONPATH environment variable to contain two
additional values:
</p>
<ol>
<li>&lt;python src dir&gt;\Lib</li>
<li>&lt;folder where CMake build files are generated&gt;\lib\site-packages</li>
</ol>
<p>
The first allows your custom built python installation to locate its system libraries, and
the second allows Python to locate the LLDB extension module.
</p>
<p>
Steps 6 and 7 of <a href="#WindowsPreliminaries">Preliminaries</a> describe a method for simplifying
this setup.
</p>
<p>Finally, when you are ready to build LLDB, generate CMake with the following command line:</p>
<code>cmake -G Ninja &lt;cmake variables&gt; &lt;path to root of llvm src tree&gt;</code>
<p>and run <code>ninja</code> to build LLDB, and <code>ninja check-lldb</code> to run LLDB's test suite.</p>
<p>
Following is a description of some of the most important CMake variables which you are likely to encounter.
A variable <code>FOO</code> is set by adding <code>-DFOO=value</code> to the CMake command line.
</p>
<ul>
<li>
<b>LLDB_TEST_DEBUG_TEST_CRASHES</b> (Default=0): If set to 1, will cause Windows to generate a crash
dialog whenever lldb.exe or the python extension module crashes while running the test suite. If set to
0, LLDB will silently crash. Setting to 1 allows a developer to attach a JIT debugger at the time of
a crash, rather than having to reproduce a failure or use a crash dump.
</li>
<li>
<b>PYTHON_LIBRARY</b>: Path to python27.lib. If doing a debug build, note that the library is called
python27_d.lib. Generally this should be set to <div align="center">&lt;python src dir&gt;\PCBuild\python27(_d).lib</div>
</li>
<li>
<b>PYTHON_INCLUDE_DIR</b>: Path to python include directory. Generally this should be set to
<div align="center">&lt;python src dir&gt;\Include</div>
</li>
<li>
<b>PYTHON_EXECUTABLE</b>: Path to python.exe. If doing a debug build of LLDB, note that the executable
is called python_d.exe. Generally this should be set to <div align="center">&lt;python src dir&gt;\PCBuild\python(_d).exe</div>
</li>
<li>
<b>LLDB_TEST_COMPILER</b>: The test suite only supports testing executables that were compiled with clang. This specifies
the path to the copy of clang that you wish to use to compile test executables. To use the version
of clang that you compiled alongside LLDB, set this to <div align="center">&lt;folder where CMake build files are generated&gt;\bin\clang.exe</div>
</li>
</ul>
</div>
</div>
<div class="post" id="BuildingLldbOnMacOSX">
<h1 class="postheader">Building LLDB on Mac OS X</h1>
<div class="postcontent">
<p>Building on Mac OS X is as easy as downloading the code and building the Xcode project or workspace:</p>
</div>
<div class="postcontent">
<h2>Preliminaries</h2>
<ul>
<li>XCode 4.3 or newer requires the "Command Line Tools" component (XCode->Preferences->Downloads->Components).</li>
<li>Mac OS X Lion or newer requires installing <a href="http://swig.org">Swig</a>.</li>
</ul>
<h2>Building LLDB</h2>
<ul>
<li><a href="download.html">Download</a> the lldb sources.</li>
<li>Follow the code signing instructions in <b>lldb/docs/code-signing.txt</b></li>
<li>In Xcode 3.x: <b>lldb/lldb.xcodeproj</b>, select the <b>lldb-tool</b> target, and build.</li>
<li>In Xcode 4.x: <b>lldb/lldb.xcworkspace</b>, select the <b>lldb-tool</b> scheme, and build.</li>
</ul>
</div>
<div class="postfooter"></div>
</div>
<div class="post" id="BuildingLldbOnLinux">
<h1 class="postheader">Building LLDB on Linux and FreeBSD</h1>
<div class="postcontent">
<p>This document describes the steps needed to compile LLDB on most Linux systems, and FreeBSD.</a></p>
</div>
<div class="postcontent">
<h2>Preliminaries</h2>
<p>
LLDB relies on many of the technologies developed by the larger LLVM project.
In particular, it requires both Clang and LLVM itself in order to build. Due to
this tight integration the <em>Getting Started</em> guides for both of these projects
come as prerequisite reading:
</p>
<ul>
<li><a href="http://llvm.org/docs/GettingStarted.html">LLVM</a></li>
<li><a href="http://clang.llvm.org/get_started.html">Clang</a></li>
</ul>
<p>Supported compilers for building LLDB on Linux include:</p>
<ul>
<li>Clang 3.2</li>
<li><a href="http://gcc.gnu.org">GCC</a> 4.6.2 (later versions should work as well)</li>
</ul>
<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>
<p>
On FreeBSD the base system Clang and libc++ may be used to build LLDB,
or the GCC port or package.
</p>
<p>
In addition to any dependencies required by LLVM and Clang, LLDB needs a few
development packages that may also need to be installed depending on your
system. The current list of dependencies are:
</p>
<ul>
<li><a href="http://swig.org">Swig</a></li>
<li><a href="http://www.thrysoee.dk/editline">libedit</a> (Linux only)</li>
<li><a href="http://www.python.org">Python</a></li>
</ul>
<p>So for example, on a Fedora system one might run:</p>
<code>&gt; yum install swig python-devel libedit-devel</code>
<p>On a Debian or Ubuntu system one might run:</p>
<code>&gt; sudo apt-get install build-essential subversion swig python2.7-dev libedit-dev libncurses5-dev </code>
<p>or</p>
<code>&gt; sudo apt-get build-dep lldb-3.3 # or lldb-3.4</code>
<p>On FreeBSD one might run:</p>
<code>&gt; pkg install swig python</code>
<p>If you wish to build the optional reference documentation, additional dependencies are required:</p>
<ul>
<li> Graphviz (for the 'dot' tool).
</li>
<li> doxygen (only if you wish to build the C++ API reference)
</li>
<li> epydoc (only if you wish to build the Python API reference)
</li>
</ul>
<p>To install the prerequisites for building the documentation (on Debian/Ubuntu) do:</p>
<code>
<br />&gt; sudo apt-get install doxygen graphviz
<br />&gt; sudo pip install epydoc # or install package python-epydoc
</code>
<h2>Building LLDB</h2>
<p>
We first need to checkout the source trees into the appropriate locations. Both
Clang and LLDB build as subprojects of LLVM. This means we will be checking out
the source for both Clang and LLDB into the <tt>tools</tt> subdirectory of LLVM. We
will be setting up a directory hierarchy looking something like this:
</p>
<p>
<pre><tt>
llvm
|
`-- tools
|
+-- clang
|
`-- lldb
</tt></pre>
</p>
<p>
For reference, we will call the root of the LLVM project tree <tt>$llvm</tt>, and the
roots of the Clang and LLDB source trees <tt>$clang</tt> and <tt>$lldb</tt> respectively.
</p>
<p>Change to the directory where you want to do development work and checkout LLVM:</p>
<code>&gt; svn co http://llvm.org/svn/llvm-project/llvm/trunk llvm</code>
<p>Now switch to LLVM&#8217;s tools subdirectory and checkout both Clang and LLDB:</p>
<code>
&gt; cd $llvm/tools
<br />&gt; svn co http://llvm.org/svn/llvm-project/cfe/trunk clang
<br />&gt; svn co http://llvm.org/svn/llvm-project/lldb/trunk lldb
</code>
<p>
In general, building the LLDB trunk revision requires trunk revisions of both
LLVM and Clang.
</p>
<p>
It is highly recommended that you build the system out of tree. Create a second
build directory and configure the LLVM project tree to your specifications as
outlined in LLVM&#8217;s <em>Getting Started Guide</em>. A typical build procedure
might be:
</p>
<code>
&gt; cd $llvm/..
<br />&gt; mkdir build
<br />&gt; cd build
</code>
<h2>To build with CMake</h2>
<p>
Using CMake is documented on the <a href="http://llvm.org/docs/CMake.html">Building LLVM with CMake</a>
page. Building LLDB is possible using one of the following generators:
</p>
<ul>
<li> Ninja </li>
<li> Unix Makefiles </li>
</ul>
<h3>Using CMake + Ninja</h3>
<p>
Ninja is the fastest way to build LLDB! In order to use ninja, you need to have recent versions of CMake and
ninja on your system. To build using ninja:
</p>
<code>
&gt; cmake .. -G Ninja
<br />&gt; ninja lldb
<br />&gt; ninja check-lldb
</code>
<h3>Using CMake + Unix Makefiles</h3>
<p>If you do not have Ninja, you can still use CMake to generate Unix Makefiles that build LLDB:</p>
<code>
&gt; cmake ..
<br />&gt; make
<br />&gt; make check-lldb
</code>
<h2>To build with autoconf</h2>
<p>
If you do not have CMake, it is still possible to build LLDB using the autoconf build system. If you are using
Clang or GCC 4.8+, run:
</p>
<code>
&gt; $llvm/configure
<br />&gt; make
</code>
<p>If you are building with a GCC that isn't the default gcc/g++, like gcc-4.9/g++-4.9</p>
<code>
&gt; $llvm/configure CC=gcc-4.9 CXX=g++-4.9
<br />&gt; make CC=gcc-4.9 CXX=g++-4.9
</code>
<p>
If you are running in a system that doesn't have a lot of RAM (less than 4GB), you might want to disable
debug symbols by specifying DEBUG_SYMBOLS=0 when running make. You will know if you need to enable this
because you will fail to link clang (the linker will get a SIGKILL and exit with status 9).
</p>
<code>
&gt; make DEBUG_SYMBOLS=0
</code>
<p> To run the LLDB test suite, run:</p>
<code>
<br />&gt; make -C tools/lldb/test
</code>
<p>
Note that once both LLVM and Clang have been configured and built it is not
necessary to perform a top-level <tt>make</tt> to rebuild changes made only to LLDB.
You can run <tt>make</tt> from the <tt>build/tools/lldb</tt> subdirectory as well.
</p>
<p>
If you wish to build with libc++ instead of libstdc++ (the default), run configure with the
<tt>--enable-libcpp</tt> flag.
</p>
<p> If you wish to build a release version of LLDB, run configure with the <tt>--enable-optimized</tt> flag.</p>
<h2>Testing</h2>
<p>
By default, the <tt>check-lldb</tt> target builds the 64-bit variants of the test programs with the same
compiler that was used to build LLDB. It is possible to customize the architecture and compiler by appending -A and
-C options respectively to the CMake variable <tt>LLDB_TEST_ARGS</tt>. For example, to test LLDB against 32-bit binaries
built with a custom version of clang, do:
</p>
<code>
<br />&gt; cmake -DLLDB_TEST_ARGS="-A i386 -C /path/to/custom/clang" -G Ninja
<br />&gt; ninja check-lldb
</code>
<p>Note that multiple -A and -C flags can be specified to <tt>LLDB_TEST_ARGS</tt>.</p>
<p>
In addition to running all the LLDB test suites with the "check-lldb" CMake target above, it is possible to
run individual LLDB tests. For example, to run the test cases defined in TestInferiorCrashing.py, run:
</p>
<code>
<br />&gt; cd $lldb/test
<br />&gt; python dotest.py --executable &lt;path-to-lldb&gt; -p TestInferiorCrashing.py
</code>
<p>
In addition to running a test by name, it is also possible to specify a directory path to <tt>dotest.py</tt>
in order to run all the tests under that directory. For example, to run all the tests under the
'functionalities/data-formatter' directory, run:
</p>
<code>
<br />&gt; python dotest.py --executable &lt;path-to-lldb&gt; functionalities/data-formatter
</code>
<p>
To dump additional information to <tt>stdout</tt> about how the test harness is driving LLDB, run
<tt>dotest.py</tt> with the <tt>-t</tt> flag. Many more options that are available. To see a list of all of them, run:
</p>
<code>
<br />&gt; python dotest.py -h
</code>
<h2>Building API reference documentation</h2>
<p>
LLDB exposes a C++ as well as a Python API. To build the reference documentation for these two APIs, ensure you have
the required dependencies installed, and build the <tt>lldb-python-doc</tt> and <tt>lldb-cpp-doc</tt> CMake targets.
</p>
<p> The output HTML reference documentation can be found in <tt>&lt;build-dir&gt;/tools/lldb/docs/</tt>.</p><p>
<h2>Additional Notes</h2>
</p>
<p>
LLDB has a Python scripting capability and supplies its own Python module named <tt>lldb</tt>.
If a script is run inside the command line <tt>lldb</tt> application, the Python module
is made available automatically. However, if a script is to be run by a Python interpreter
outside the command line application, the <tt>PYTHONPATH</tt> environment variable can be used
to let the Python interpreter find the <tt>lldb</tt> module.
</p>
<p>The correct path can be obtained by invoking the command line <tt>lldb</tt> tool with the -P flag:</p>
<code>&gt; export PYTHONPATH=`$llvm/build/Debug+Asserts/bin/lldb -P`</code>
<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:
</p>
<code>&gt; python -c 'import lldb'</code></p>
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