mirror of
https://github.com/GreptimeTeam/greptimedb.git
synced 2026-09-07 05:59:00 +00:00
discord9
2123108db0
* fix(promql): distinguish stale markers from NaN Signed-off-by: discord9 <discord9@163.com> * fix(promql): preserve ordinary NaN samples Signed-off-by: discord9 <discord9@163.com> --------- Signed-off-by: discord9 <discord9@163.com>
208 lines
6.2 KiB
SQL
208 lines
6.2 KiB
SQL
CREATE TABLE host (
|
|
ts timestamp(3) time index,
|
|
host STRING PRIMARY KEY,
|
|
val BIGINT,
|
|
);
|
|
|
|
INSERT INTO TABLE host VALUES
|
|
(0, 'host1', 1),
|
|
(0, 'host2', 2),
|
|
(5000, 'host1', 3),
|
|
(5000, 'host2', 4),
|
|
(10000, 'host1', 5),
|
|
(10000, 'host2', 6),
|
|
(15000, 'host1', 7),
|
|
(15000, 'host2', 8);
|
|
|
|
-- case only have one time series, scalar return value
|
|
|
|
-- SQLNESS SORT_RESULT 3 1
|
|
TQL EVAL (0, 15, '5s') scalar(host{host="host1"});
|
|
|
|
-- SQLNESS SORT_RESULT 3 1
|
|
TQL EVAL (0, 15, '5s') scalar(host{host="host1"}) + 1;
|
|
|
|
-- SQLNESS SORT_RESULT 3 1
|
|
TQL EVAL (0, 15, '5s') 1 + scalar(host{host="host1"});
|
|
|
|
-- SQLNESS SORT_RESULT 3 1
|
|
TQL EVAL (0, 15, '5s') scalar(host{host="host1"}) + scalar(host{host="host2"});
|
|
|
|
-- SQLNESS SORT_RESULT 3 1
|
|
TQL EVAL (0, 15, '5s') host{host="host1"} + scalar(host{host="host2"});
|
|
|
|
-- SQLNESS SORT_RESULT 3 1
|
|
TQL EVAL (0, 15, '5s') scalar(host{host="host1"}) + host{host="host2"};
|
|
|
|
-- SQLNESS SORT_RESULT 3 1
|
|
TQL EVAL (0, 15, '5s') host + scalar(host{host="host2"});
|
|
|
|
-- SQLNESS SORT_RESULT 3 1
|
|
TQL EVAL (0, 15, '5s') scalar(host{host="host1"}) + host;
|
|
|
|
-- SQLNESS SORT_RESULT 3 1
|
|
TQL EVAL (0, 15, '5s') scalar(count(count(host) by (host)));
|
|
|
|
-- SQLNESS SORT_RESULT 3 1
|
|
TQL EVAL (0, 15, '5s') scalar(count(sum(host) by (host)));
|
|
|
|
-- SQLNESS SORT_RESULT 3 1
|
|
TQL EVAL (0, 15, '5s') scalar(count(avg(host) by (host)));
|
|
|
|
-- SQLNESS SORT_RESULT 3 1
|
|
TQL EVAL (0, 15, '5s') scalar(count(stddev(host) by (host)));
|
|
|
|
-- SQLNESS SORT_RESULT 3 1
|
|
TQL EVAL (0, 15, '5s') scalar(host{host="host1"} + scalar(host{host="host2"}));
|
|
|
|
-- SQLNESS SORT_RESULT 3 1
|
|
TQL EVAL (0, 15, '5s') scalar(scalar(host{host="host2"}) + host{host="host1"});
|
|
|
|
-- SQLNESS SORT_RESULT 3 1
|
|
TQL EVAL (0, 15, '5s') scalar(host + scalar(host{host="host2"}));
|
|
|
|
-- SQLNESS SORT_RESULT 3 1
|
|
TQL EVAL (0, 15, '5s') scalar(scalar(host{host="host2"}) + host);
|
|
|
|
-- case have multiple time series, scalar return NaN
|
|
|
|
-- SQLNESS SORT_RESULT 3 1
|
|
TQL EVAL (0, 15, '5s') scalar(host);
|
|
|
|
-- SQLNESS SORT_RESULT 3 1
|
|
TQL EVAL (0, 15, '5s') scalar(host) + 1;
|
|
|
|
-- SQLNESS SORT_RESULT 3 1
|
|
TQL EVAL (0, 15, '5s') 1 + scalar(host);
|
|
|
|
-- SQLNESS SORT_RESULT 3 1
|
|
TQL EVAL (0, 15, '5s') scalar(host) + scalar(host);
|
|
|
|
-- SQLNESS SORT_RESULT 3 1
|
|
TQL EVAL (0, 15, '5s') host + scalar(host);
|
|
|
|
-- SQLNESS SORT_RESULT 3 1
|
|
TQL EVAL (0, 15, '5s') scalar(host) + host;
|
|
|
|
-- SQLNESS SORT_RESULT 3 1
|
|
TQL EVAL (0, 15, '5s') host{host="host2"} + scalar(host);
|
|
|
|
-- SQLNESS SORT_RESULT 3 1
|
|
TQL EVAL (0, 15, '5s') scalar(host) + host{host="host2"};
|
|
|
|
-- SQLNESS SORT_RESULT 3 1
|
|
TQL EVAL (0, 15, '5s') scalar(host{host="host1"} + scalar(host));
|
|
|
|
-- No data input in scalar
|
|
TQL EVAL (350, 360, '5s') scalar(host{host="host1"});
|
|
|
|
DELETE from host where ts = 0;
|
|
|
|
-- Under this case, InstantManipulate will input a valid record batch but output a empty record batch (because no data will be selected in this batch)
|
|
-- Test input a empty record batch to ScalarCalculate plan
|
|
TQL EVAL (0, 1600, '6m40s') scalar(host{host="host1"});
|
|
|
|
-- error case
|
|
|
|
TQL EVAL (0, 15, '5s') scalar(1 + scalar(host{host="host2"}));
|
|
|
|
TQL EVAL (0, 15, '5s') scalar(scalar(host{host="host2"}) + 1);
|
|
|
|
TQL EVAL (0, 15, '5s') scalar(scalar(host{host="host1"}) + scalar(host{host="host2"}));
|
|
|
|
-- Test clamp functions with vector input and scalar bounds
|
|
|
|
-- SQLNESS SORT_RESULT 3 1
|
|
TQL EVAL (0, 15, '5s') clamp(host, 0, 12);
|
|
|
|
-- SQLNESS SORT_RESULT 3 1
|
|
TQL EVAL (0, 15, '5s') clamp(host, 6 - 6, 6 + 6);
|
|
|
|
-- SQLNESS SORT_RESULT 3 1
|
|
TQL EVAL (0, 15, '5s') clamp(host, 12, 0);
|
|
|
|
-- SQLNESS SORT_RESULT 3 1
|
|
TQL EVAL (0, 15, '5s') clamp(host{host="host1"}, -1, 6);
|
|
|
|
-- SQLNESS SORT_RESULT 3 1
|
|
TQL EVAL (0, 15, '5s') clamp_min(host{host="host1"}, 10);
|
|
|
|
-- SQLNESS SORT_RESULT 3 1
|
|
TQL EVAL (0, 15, '5s') clamp_min(host{host="host1"}, 1);
|
|
|
|
-- SQLNESS SORT_RESULT 3 1
|
|
TQL EVAL (0, 15, '5s') clamp_max(host{host="host1"}, 1);
|
|
|
|
-- SQLNESS SORT_RESULT 3 1
|
|
TQL EVAL (0, 15, '5s') clamp_max(host{host="host1"}, 10);
|
|
|
|
-- SQLNESS SORT_RESULT 3 1
|
|
TQL EVAL (0, 15, '5s') clamp_min(host, 1);
|
|
|
|
-- SQLNESS SORT_RESULT 3 1
|
|
TQL EVAL (0, 15, '5s') clamp_max(host, 10);
|
|
|
|
-- SQLNESS SORT_RESULT 3 1
|
|
TQL EVAL (0, 15, '5s') scalar(clamp(host{host="host1"}, 0, 6));
|
|
|
|
-- SQLNESS SORT_RESULT 3 1
|
|
TQL EVAL (0, 15, '5s') scalar(clamp_min(host{host="host1"}, 1));
|
|
|
|
-- SQLNESS SORT_RESULT 3 1
|
|
TQL EVAL (0, 15, '5s') scalar(clamp_max(host{host="host1"}, 10));
|
|
|
|
-- Test nested clamp functions
|
|
-- SQLNESS SORT_RESULT 3 1
|
|
TQL EVAL (0, 15, '5s') clamp(clamp_min(host{host="host1"}, 1), 0, 12);
|
|
|
|
-- SQLNESS SORT_RESULT 3 1
|
|
TQL EVAL (0, 15, '5s') clamp_max(clamp(host{host="host1"}, 0, 15), 6);
|
|
|
|
DROP TABLE host;
|
|
|
|
CREATE TABLE presence_metric (
|
|
ts timestamp(3) time index,
|
|
instance STRING,
|
|
cpu STRING,
|
|
shard STRING,
|
|
val DOUBLE,
|
|
PRIMARY KEY (instance, cpu, shard),
|
|
);
|
|
|
|
INSERT INTO TABLE presence_metric VALUES
|
|
(0, 'i1', 'cpu0', 'a', 1.0),
|
|
(0, 'i1', 'cpu0', 'b', 2.0),
|
|
(0, 'i1', 'cpu1', 'a', 10.0),
|
|
(0, 'i1', 'cpu2', 'a', 20.0),
|
|
(0, 'i2', 'cpu9', 'a', 100.0),
|
|
(200000, 'i1', 'cpu0', 'a', 'NAN'::DOUBLE),
|
|
(200000, 'i1', 'cpu0', 'b', 'NAN'::DOUBLE),
|
|
(200000, 'i1', 'cpu1', 'a', 11.0),
|
|
(200000, 'i1', 'cpu2', 'a', NULL),
|
|
(200000, 'i2', 'cpu9', 'a', 101.0),
|
|
(400000, 'i1', 'cpu1', 'a', 12.0),
|
|
(400000, 'i2', 'cpu9', 'a', 102.0),
|
|
(600000, 'i1', 'cpu0', 'a', 7.0),
|
|
(600000, 'i1', 'cpu0', 'b', 8.0),
|
|
(600000, 'i2', 'cpu9', 'a', 103.0);
|
|
|
|
-- Ordinary NaN keeps `cpu0` present in the grouped count, while the NULL sample
|
|
-- on `cpu2` still leaves a zero-valued row in `count(...) by (cpu)`.
|
|
-- SQLNESS SORT_RESULT 3 1
|
|
TQL EVAL (0, 600, '200s') count(presence_metric{instance="i1"}) by (cpu);
|
|
|
|
-- Nested-count rewrite should preserve grouped presence after stale-marker filtering
|
|
-- and null-value pruning.
|
|
-- SQLNESS SORT_RESULT 3 1
|
|
TQL EVAL (0, 600, '200s') scalar(count(count(presence_metric{instance="i1"}) by (cpu)));
|
|
|
|
-- Non-count inner aggregates must drop NULL-only groups before the outer count.
|
|
-- SQLNESS SORT_RESULT 3 1
|
|
TQL EVAL (0, 600, '200s') scalar(count(sum(presence_metric{instance="i1"}) by (cpu)));
|
|
|
|
-- False case: outer `by (instance)` keeps multiple series at the scalar input, so scalar should still yield NaN.
|
|
-- SQLNESS SORT_RESULT 3 1
|
|
TQL EVAL (0, 600, '200s') scalar(count(count(presence_metric) by (instance, cpu)) by (instance));
|
|
|
|
DROP TABLE presence_metric;
|