A composite entity id rendered the identifying columns as sorted `col=value` pairs, so the same identity split into one entity per signal: a trace table names its columns service_name and resource_attributes.service.instance.id where a metric table names them job and instance. One service instance became two nodes with two parallel edge sets, breaking the walk from a trace to that instance's metrics. Render an id as its values in declared order instead, escaping the separator so components stay distinguishable, which is what single-column ids already did by keeping only the value. entity_id_attrs still carries the structured form. Values alone are not enough for a namespaced service: the metric side folds service.namespace into job while traces keep the bare name. Add qualified_by to the conventions so the trace declarations compose the namespace the same way, per the OTel rule that job is <service.namespace>/<service.name> or the bare name when the namespace is empty. A table without the namespace column keeps the unqualified identity rather than losing the declaration. Conventions validation now rejects one entity type declared with a different number of id columns by two sources, which would silently produce ids that can never match. Signed-off-by: Dennis Zhuang <killme2008@gmail.com>
Sqlness Test
Sqlness manual
Case file
Sqlness has two types of file:
.sql: test input, SQL only.result: expected test output, SQL and its results
.result is the output (execution result) file. If you see .result files is changed,
it means this test gets a different result and indicates it fails. You should
check change logs to solve the problem.
You only need to write test SQL in .sql file, and run the test.
Case organization
The root dir of input cases is tests/cases. It contains several subdirectories stand for different test
modes. E.g., standalone/ contains all the tests to run under greptimedb standalone start mode.
Under the first level of subdirectory (e.g. the cases/standalone), you can organize your cases as you like.
Sqlness walks through every file recursively and runs them.
Kafka WAL
Sqlness supports Kafka WAL. You can either provide a Kafka cluster or let sqlness to start one for you.
To run test with kafka, you need to pass the option -w kafka. If no other options are provided, sqlness will use conf/kafka-cluster.yml to start a Kafka cluster. This requires docker and docker-compose commands in your environment.
Otherwise, you can additionally pass the your existing kafka environment to sqlness with -k option. E.g.:
cargo sqlness bare -w kafka -k localhost:9092
In this case, sqlness will not start its own kafka cluster and the one you provided instead.
Run the test
Unlike other tests, this harness is in a binary target form. You can run it with:
cargo sqlness bare
It automatically finishes the following procedures: compile GreptimeDB, start it, grab tests and feed it to
the server, then collect and compare the results. You only need to check if the .result files are changed.
If not, congratulations, the test is passed 🥳!