Unit testing in MariaDB verifies that a single stored procedure, function, or query returns the expected result by running it against controlled data and asserting outcomes.
Unit testing in MariaDB checks one routine, view, or query at a time against a disposable data set. A failing assertion immediately signals a defect.
Unit tests prevent regressions, document expected behaviour, and enable safe refactoring. They also integrate with CI/CD pipelines for automated feedback.
1) Spin up a dedicated test_db
schema. 2) Populate Customers
, Orders
, Products
, and OrderItems
with deterministic seed rows. 3) Add assertion helpers such as assert_equals
. 4) Run tests via mariadb-test-run
or any shell script that stops on a non-zero exit code.
SIGNAL
is raised when expected and actual values differ, instantly failing the test.
Wrap each scenario in a stored routine whose only job is to call assertions. Use clear names such as test_discount_calculation()
.
Package the test schema in a Docker image, run mariadb-test-run --suite=/tests
, and let your CI platform fail the build on any error.
• Isolate each test with BEGIN/ROLLBACK or disposable schemas.
• Seed minimal yet complete data.
• Keep assertion messages descriptive.
• Run tests on every pull request.
• Never rely on production data—tests must create their own.
• Reset auto-increment counters between tests to prevent key clashes.
Use Docker to spin up MariaDB, run mariadb-test-run
or a custom shell script that executes all test procedures, and fail the job when any SIGNAL is raised.
Yes. Wrap the query in a test routine and assert the expected row count or specific column values with assert_equals
or assert_true
.
The built-in mysqltest
client and mariadb-test-run
provide JUnit-style result output, letting CI tools parse successes and failures easily.