.vscode | ||
foo | ||
full_tests | ||
src | ||
tests | ||
third_party | ||
.clang_complete | ||
.gitattributes | ||
.gitignore | ||
.gitmodules | ||
CMakeLists.txt | ||
indexer.vcxproj.user | ||
README.md | ||
wscript |
cquery
cquery is a low-latency language server for C++. It is extremely scalable and has been designed for and tested on large code bases like Chromium. It's primary goal is to make working on large code bases much faster by providing accurate and fast semantic analysis.
There are rough edges (especially when editing), but it is already possible to be productive with cquery. Here's a list of implemented features:
- code completion
- references
- type hierarchy
- calls to functions, calls to base and derived functions
- rename
- goto definition, goto base method
- document symbol search
- global symbol search
Setup
Building
Eventually, cquery will be published in the vscode extension marketplace and you will be able to install and run it without any additional steps. To use cquery you need to clone this repository, build it, and then open vscode in this folder.
# Build cquery
$ git clone https://github.com/jacobdufault/cquery --recursive
$ cd cquery
$ pushd third_party/sparsehash # This step will eventually be eliminated
$ ./configure # This step will eventually be eliminated
# sparsehash is header-only; building it is not required
$ popd # This step will eventually be eliminated
$ ./waf configure
$ ./waf build
# Build extension
$ cd vscode-client
$ npm install
$ code .
After VSCode is running, you can hit F5
to launch the extension locally. Make
sure to open up settings and look over the configuration options. You will
probably want to increase the number of indexers that run from 7 to 40 or 50,
depending on how many cores are on your CPUs.
If you run into issues, you can view debug output by running the
(F1
) View: Toggle Output
command and opening the cquery
output section.
Project setup
compile_commands.json (Best)
To get the most accurate index possible, you can give cquery a compilation database emitted from your build system of choice. For example, here's how to generate one in ninja. When you sync your code you should regenerate this file.
$ ninja -t compdb cxx cc > compile_commands.json
The compile_commands.json
file should be in the top-level workspace directory.
cquery.extraClangArguments
If for whatever reason you cannot generate a compile_commands.json
file, you
can add the flags to the cquery.extraClangArguments
configuration option.
clang_args
If for whatever reason you cannot generate a compile_commands.json
file, you
can add the flags to a file called clang_args
located in the top-level
workspace directory.
Each argument in that file is separated by a newline. Lines starting with #
are skipped. Here's an example:
# Language
-xc++
-std=c++11
# Includes
-I/work/cquery/third_party
Limitations
cquery is able to respond to queries quickly because it caches a huge amount of information. When a request comes in, cquery just looks it up in the cache without running many computations. As a result, there's a large memory overhead. For example, a full index of Chrome will take about 10gb of memory. If you exclude v8, webkit, and blink, it goes down to about 6.5gb.
License
MIT