* feat(query): implement PromQL @ modifier on vector and matrix selectors The planner previously dropped the `at` field of selectors (`at: _`), so `some_metric @ 300` silently returned step-following values instead of the samples anchored at the fixed timestamp. Anchoring follows Prometheus's `setOffsetForAtModifier` + `refetch` semantics: resolve the anchor (`@ <ts>`, `@ start()`, `@ end()`), apply `offset` to the anchor, rewrite the selector offset to `eval_start - anchor`, scan only the anchored window, then report the same window at every evaluation step via a grid-wide-replay `InstantManipulate`. `@ start()` / `@ end()` resolve against the statement's evaluation range (`stmt_start` / `stmt_end`), which subquery planning does not rewrite. Timestamps before the Unix epoch are accepted; unrepresentable ones are rejected with `AtModifierTimestampOutOfRange` instead of wrapping. Selectors without `@` are planned exactly as before. Report: .e-agent/greptimedb_promql_compatibility_report_2026-09-16.md P0-2 Signed-off-by: discord9 <55937128+discord9@users.noreply.github.com> * fix(promql): center predict_linear on the evaluation timestamp predict_linear_impl used the window's last sample time as the evaluation timestamp, and the UDF took only (ts_range, value_range, t) with no channel for the current instant. After a range selector is folded for @ (or with an offset) the same window is replayed at every step, so the prediction stayed constant at the anchor's answer; even a plain window ended before the step produced a stale value. Give prom_predict_linear a 4th argument carrying the step's evaluation instant (ms timestamp), derived in the planner from the row's time index plus the offset the window was folded with (at_offset for @, offset_ms otherwise, recorded on PromPlannerContext). The regression is centered on that instant, matching Prometheus' use of enh.Ts. The mixed float/native-histogram path forwards the same argument. Signed-off-by: discord9 <55937128+discord9@users.noreply.github.com> * refactor(query): tighten @ modifier planner and predict_linear - range_fold_offset is always a concrete millisecond offset, not an Option; the single-step replay helper no longer wraps an infallible plan in Result. - predict_linear's eval timestamp is always cast to Timestamp(ms) at the call site, so the UDF drops its dead Int64 branch and the extra func_name argument. - Drop two redundant comparison cases from the at_modifier sqlness test and fix the lookback window comment to the half-open (0s, 300s]. Signed-off-by: discord9 <55937128+discord9@users.noreply.github.com> * test(query): accept parse-time rejection of @ on Windows `@ 1e16` is 10^19 milliseconds, beyond i64::MAX. A Unix SystemTime holds it and the planner rejects the anchor it cannot represent, but a Windows SystemTime tops out near 1.8e12 seconds, so the parser's checked_add fails first and the same literal is rejected while parsing. Accept either rejection path so the test passes on both platforms. Signed-off-by: discord9 <55937128+discord9@users.noreply.github.com> * fix(query): avoid replaying label_join over rewritten series keys Signed-off-by: discord9 <55937128+discord9@users.noreply.github.com> * fix(query): narrow anchored range call promotion Signed-off-by: discord9 <55937128+discord9@users.noreply.github.com> * fix(query): address @ modifier review feedback Signed-off-by: discord9 <55937128+discord9@users.noreply.github.com> * fix(query): satisfy super import format check Signed-off-by: discord9 <55937128+discord9@users.noreply.github.com> * docs(query): address at modifier review follow-ups Signed-off-by: discord9 <55937128+discord9@users.noreply.github.com> --------- Signed-off-by: discord9 <55937128+discord9@users.noreply.github.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 🥳!