This outputs some duration counts for various parts of the extraction process in the database in the form of telemetry diagnostics. The diagnostics format was preferred to putting things in the relational database as that will scale better to code scanning and is more flexible as for the data we can put into it without passing through the dbscheme. Also, although it's not the case yet, it will be possible to output diagnostics even if creation of the database fails.
Rust on CodeQL
Warning
Rust support for CodeQL is experimental. No support is offered. QL and database interfaces will change and break without notice or deprecation periods.
Development
Dependencies
If you don't have the semmle-code repo you may need to install Bazel manually, e.g. from https://github.com/bazelbuild/bazelisk.
Building the Rust Extractor
This approach uses a released codeql version and is simpler to use for QL development. From your semmle-code directory run:
bazel run @codeql//rust:install
You now need to create a per-user CodeQL configuration file and specify the option:
--search-path PATH/TO/semmle-code/ql
(wherever the codeql checkout is on your system)
You can now use the Rust extractor e.g. to run Rust tests from the command line or in VSCode.
Building the Rust Extractor (as a sembuild target)
This approach allows you to build a Rust extractor with a CLI built from source. From your semmle-code directory run:
./build target/intree/codeql-rust
You can now invoke it directly, for example to run some tests:
./target/intree/codeql-rust/codeql test run ql/rust/ql/test/PATH/TO/TEST/
Building a Database
TODO
Code Generation
TODO