lldb-eval is an LLDB-based library for evaluating
debug expressions in the context of the debugged process. All modern debuggers
support evaluating expressions to inspect the target process state: print out
variables, access member fields, etc. lldb-eval is basically a REPL-like
library, that allows to inspect the process state using the familiar C++ syntax.
The primary use-case is IDE integration (for example,
Stadia for Visual Studio).
LLDB has a very powerful built-in expression evaluator (available via expr
command). It can handle almost any valid C++ as well as perform function calls.
But the downside of this power is poor performance, especially for large
programs with lots of debug information. This is not as critical for interactive
use, but doesn't work well for implementing IDE integrations. For example,
Stadia debugger for Visual Studio evaluates dozens and hundreds of expressions
for every "step", so it has to be fast.
lldb-eval makes a trade-off between performance and completeness, focusing on
performance. It features a custom expression parser and relies purely on the
debug information, aiming at sub-millisecond evaluation speed.
Install the dependencies:
sudo apt install lld-11 clang-11 lldb-11 llvm-11-dev libclang-11-dev liblldb-11-dev libc++-11-dev libc++abi-11-devOr build them from source, see the instructions in the LLDB documentation.
On Windows we need to build LLDB (and other parts) from source. The steps are
basically the same as for Linux. You will need: CMake, Ninja and
Visual Studio (tested with Visual Studio 2019 16.6.5).
Hint: You can install the dependencies via Chocolatey.
Run the x64 Native Tools Command Prompt for VS 2019:
git clone https://github.com/llvm/llvm-project.git
cd llvm-project
mkdir build_x64_optdebug
cd build_x64_optdebug
cmake ^
-DCMAKE_INSTALL_PREFIX='C:\src\llvm-project\build_x64_optdebug\install' ^
-DLLVM_ENABLE_PROJECTS='lldb;clang;lld' ^
-DLLDB_ENABLE_PYTHON=0 ^
-DCMAKE_BUILD_TYPE=RelWithDebInfo ^
-GNinja ^
../llvm
ninja installlldb-eval uses Bazel, you can find the installation
instructions on its website.
You need to set the LLVM_INSTALL_PATH environmental variable with a location
to your LLVM installation:
# (Linux) If you installed the packages via "apt install".
export LLVM_INSTALL_PATH=/usr/lib/llvm-10# (Windows) If you built it from source using the instructions above.
$env:LLVM_INSTALL_PATH = C:\src\llvm-project\build_x64_optdebug\installNow you can build and test lldb-eval:
# Build and run all tests
bazel test ...:all
# Evaluate a sample expression
bazel run tools:exec -- "(1 + 2) * 42 / 4"Depending on your distribution of LLVM, you may also need to provide
--@llvm_project//:llvm_build={static,dynamic} flag. For example, if your
liblldb.so is linked dynamically (this is the case when installing via apt),
then you need to use llvm_build=dynamic. The build script tries to choose the
correct default value automatically, but it can
be wrong in some situations (please, report and contribute 🙂).
Hint: You can add this option to your
user.bazelrc!
You can create user.bazelrc in the repository root and put there your local
configuration. Check Bazel docs
for the format. For example:
# Building on Linux (usually don't need this, Bazel detects automatically)
build --config=linux
# Using statically linked liblldb.so
build --@llvm_project//:llvm_build=static- Blazing fast expression evaluation for C++ in LLDB
- Building a faster expression evaluator for LLDB at LLVM Developers' Meeting 2021
- lldb-eval fuzzer: Finding bugs in an LLDB-based expression evaluator at LLVM Developers' Meeting 2021
This is not an officially supported Google product.