dennis zhuang
b913be2af7
* fix(promql): return range-vector results for instant queries An instant query of a range selector or subquery (e.g. `up[5m]`) returned the internal range arrays, which panicked when the frontend decoded them as dictionaries. Plan such queries as the selected samples with their own timestamps, and reject range-vector expressions in range queries like Prometheus does. Signed-off-by: Dennis Zhuang <killme2008@gmail.com> * test(promql): keep encode_substrait on a valid range query A range query of a range-vector expression now fails like in Prometheus. Wrap the subquery in max_over_time so the case still encodes both RangeManipulate nodes through substrait. Signed-off-by: Dennis Zhuang <killme2008@gmail.com> * fix(promql): plan wrapped range-vector roots and reject a zero subquery step TQL EXPLAIN, ANALYZE and AS alias wrap the root in an extension, which the range-vector path did not unwrap. A zero subquery step divided by zero. Signed-off-by: Dennis Zhuang <killme2008@gmail.com> * test(promql): cover wrapped range-vector roots and a zero subquery step Signed-off-by: Dennis Zhuang <killme2008@gmail.com> * fix(promql): default subquery step and reject range vectors in range queries A root subquery without a step uses the one-minute default instead of the query step. The HTTP range query endpoint rejects range-vector expressions even when start equals end. Signed-off-by: Dennis Zhuang <killme2008@gmail.com> * test: cover root subquery default step Signed-off-by: Dennis Zhuang <killme2008@gmail.com> * refactor(promql): align root subqueries with subquery_child_window Signed-off-by: Dennis Zhuang <killme2008@gmail.com> * fix(promql): return millisecond timestamps for range-vector results Signed-off-by: Dennis Zhuang <killme2008@gmail.com> * refactor(promql): keep the time index timezone and name its table in errors Signed-off-by: Dennis Zhuang <killme2008@gmail.com> --------- 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 🥳!