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fsm_concurrency_testing_framework.md | ||
hang_analyzer.md | ||
otel_resmoke.md | ||
README.md |
Testing
Most tests for MongoDB are run through resmoke, our test runner and orchestration tool.
The entry point for resmoke can be found at buildscripts/resmoke.py
run
The run subcommand can run suites (list of tests and the MongoDB topology and configuration to run them against), and explicitly named test files.
A single suite can be specified using the --suite
flag, and multiple suites
can be specified by providing a comma separated list to the --suites
flag.
Additional parameters for the run subcommand can be found on the help page,
accessible by running buildscripts/resmoke.py run --help
Additional documentation on our suite configuration can be found on the Suites configuration file page
Testable Installations (--installDir
)
resmoke can run tests against any testable installation of MongoDB (such
as ASAN, Debug, Release). When possible, resmoke will automatically locate and
run with a locally built copy of MongoDB Server, so long as that build was
installed to a subdirectory of the root of the git repository, and there is
exactly one build. In other situations, the --installDir
flag, passed to run
subcommand, can be used to indicate the location of the mongod/mongos binaries.
As an alternative, you may instead prefer to use the resmoke.py wrapper script
located in the same directory as the mongod binary, which will automatically
set installDir
for you.
Note that this wrapper is unavailable in packaged installations of MongoDB
Server, such as those provided by Homebrew, and other package managers. If you
would like to run tests against a packaged installation, you must explicitly
pass --installDir
to resmoke.py
Resmoke test telemetry
We capture telemetry from resmoke using two systems: mongo-tooling-metrics and open telemetry.
Using mongo-tooling-metrics we capture the invocation, results, and timing data from internal developers. This data is used to see what developers are doing. We can study what people are running to make it work better or faster.
Using open telemetry (OTel) we capture more specific information about the internals of resmoke. This data is used for improvements specifically when running in evergreen. This data is captured on every resmoke invocation but only sent to honeycomb when running in evergreen. More info about how we use OTel in resmoke can be found here.