Project: /_project.yaml Book: /_book.yaml
{% include “_buttons.html” %}
Bazel features a coverage
sub-command to produce code coverage reports on repositories that can be tested with bazel coverage
. Due to the idiosyncrasies of the various language ecosystems, it is not always trivial to make this work for a given project.
This page documents the general process for creating and viewing coverage reports, and also features some language-specific notes for languages whose configuration is well-known. It is best read by first reading the general section, and then reading about the requirements for a specific language. Note also the remote execution section, which requires some additional considerations.
While a lot of customization is possible, this document focuses on producing and consuming lcov
reports, which is currently the most well-supported route.
The basic workflow for creating coverage reports requires the following:
The former two are language-specific and mostly straightforward, however the latter can be more difficult for complex projects.
“Instrumentation” in this case refers to the coverage tools that are used for a specific target. Bazel allows turning this on for a specific subset of files using the --instrumentation_filter
flag, which specifies a filter for targets that are tested with the instrumentation enabled. To enable instrumentation for tests, the --instrument_test_targets
flag is required.
By default, bazel tries to match the target package(s), and prints the relevant filter as an INFO
message.
To produce a coverage report, use bazel coverage --combined_report=lcov [target]
. This runs the tests for the target, generating coverage reports in the lcov format for each file.
Once finished, bazel runs an action that collects all the produced coverage files, and merges them into one, which is then finally created under $(bazel info output_path)/_coverage/_coverage_report.dat
.
Coverage reports are also produced if tests fail, though note that this does not extend to the failed tests - only passing tests are reported.
The coverage report is only output in the non-human-readable lcov
format. From this, we can use the genhtml
utility (part of the lcov project) to produce a report that can be viewed in a web browser:
genhtml --branch-coverage --output genhtml "$(bazel info output_path)/_coverage/_coverage_report.dat"
Note that genhtml
reads the source code as well, to annotate missing coverage in these files. For this to work, it is expected that genhtml
is executed in the root of the bazel project.
To view the result, simply open the index.html
file produced in the genhtml
directory in any web browser.
For further help and information around the genhtml
tool, or the lcov
coverage format, see the lcov project.
Running with remote test execution currently has a few caveats:
--strategy=CoverageReport=local
.--strategy=CoverageReport=local,remote
instead, if Bazel is set up to try local,remote
, due to how Bazel resolves strategies.--remote_download_minimal
and similar flags can also not be used as a consequence of the former.--nocache_test_results
can be set specifically for coverage runs, although this of course incurs a heavy cost in terms of test times.--experimental_split_coverage_postprocessing
and --experimental_fetch_all_coverage_outputs
Java should work out-of-the-box with the default configuration. The bazel toolchains contain everything necessary for remote execution, as well, including JUnit.
See the rules_python
coverage docs for additional steps needed to enable coverage support in Python.