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https://github.com/GreptimeTeam/greptimedb.git
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59dd418629
* as optimizer rule Signed-off-by: Ruihang Xia <waynestxia@gmail.com> * dump changes Signed-off-by: Ruihang Xia <waynestxia@gmail.com> * perf: tighten count-count optimizer rewrite * extend inner op set Signed-off-by: Ruihang Xia <waynestxia@gmail.com> * simplify and more coverage Signed-off-by: Ruihang Xia <waynestxia@gmail.com> * remove prom-non-null Signed-off-by: Ruihang Xia <waynestxia@gmail.com> * preserve value column through pruning Signed-off-by: Ruihang Xia <waynestxia@gmail.com> * more sqlness cases Signed-off-by: Ruihang Xia <waynestxia@gmail.com> * rename Signed-off-by: Ruihang Xia <waynestxia@gmail.com> * enforce is not null before inner aggr Signed-off-by: Ruihang Xia <waynestxia@gmail.com> * finalize Signed-off-by: Ruihang Xia <waynestxia@gmail.com> * update sqlness result Signed-off-by: Ruihang Xia <waynestxia@gmail.com> --------- Signed-off-by: Ruihang Xia <waynestxia@gmail.com>
207 lines
6.2 KiB
SQL
207 lines
6.2 KiB
SQL
CREATE TABLE host (
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ts timestamp(3) time index,
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host STRING PRIMARY KEY,
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val BIGINT,
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);
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INSERT INTO TABLE host VALUES
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(0, 'host1', 1),
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(0, 'host2', 2),
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(5000, 'host1', 3),
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(5000, 'host2', 4),
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(10000, 'host1', 5),
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(10000, 'host2', 6),
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(15000, 'host1', 7),
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(15000, 'host2', 8);
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-- case only have one time series, scalar return value
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-- SQLNESS SORT_RESULT 3 1
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TQL EVAL (0, 15, '5s') scalar(host{host="host1"});
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-- SQLNESS SORT_RESULT 3 1
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TQL EVAL (0, 15, '5s') scalar(host{host="host1"}) + 1;
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-- SQLNESS SORT_RESULT 3 1
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TQL EVAL (0, 15, '5s') 1 + scalar(host{host="host1"});
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-- SQLNESS SORT_RESULT 3 1
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TQL EVAL (0, 15, '5s') scalar(host{host="host1"}) + scalar(host{host="host2"});
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-- SQLNESS SORT_RESULT 3 1
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TQL EVAL (0, 15, '5s') host{host="host1"} + scalar(host{host="host2"});
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-- SQLNESS SORT_RESULT 3 1
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TQL EVAL (0, 15, '5s') scalar(host{host="host1"}) + host{host="host2"};
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-- SQLNESS SORT_RESULT 3 1
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TQL EVAL (0, 15, '5s') host + scalar(host{host="host2"});
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-- SQLNESS SORT_RESULT 3 1
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TQL EVAL (0, 15, '5s') scalar(host{host="host1"}) + host;
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-- SQLNESS SORT_RESULT 3 1
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TQL EVAL (0, 15, '5s') scalar(count(count(host) by (host)));
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-- SQLNESS SORT_RESULT 3 1
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TQL EVAL (0, 15, '5s') scalar(count(sum(host) by (host)));
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-- SQLNESS SORT_RESULT 3 1
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TQL EVAL (0, 15, '5s') scalar(count(avg(host) by (host)));
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-- SQLNESS SORT_RESULT 3 1
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TQL EVAL (0, 15, '5s') scalar(count(stddev(host) by (host)));
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-- SQLNESS SORT_RESULT 3 1
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TQL EVAL (0, 15, '5s') scalar(host{host="host1"} + scalar(host{host="host2"}));
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-- SQLNESS SORT_RESULT 3 1
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TQL EVAL (0, 15, '5s') scalar(scalar(host{host="host2"}) + host{host="host1"});
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-- SQLNESS SORT_RESULT 3 1
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TQL EVAL (0, 15, '5s') scalar(host + scalar(host{host="host2"}));
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-- SQLNESS SORT_RESULT 3 1
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TQL EVAL (0, 15, '5s') scalar(scalar(host{host="host2"}) + host);
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-- case have multiple time series, scalar return NaN
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-- SQLNESS SORT_RESULT 3 1
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TQL EVAL (0, 15, '5s') scalar(host);
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-- SQLNESS SORT_RESULT 3 1
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TQL EVAL (0, 15, '5s') scalar(host) + 1;
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-- SQLNESS SORT_RESULT 3 1
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TQL EVAL (0, 15, '5s') 1 + scalar(host);
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-- SQLNESS SORT_RESULT 3 1
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TQL EVAL (0, 15, '5s') scalar(host) + scalar(host);
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-- SQLNESS SORT_RESULT 3 1
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TQL EVAL (0, 15, '5s') host + scalar(host);
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-- SQLNESS SORT_RESULT 3 1
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TQL EVAL (0, 15, '5s') scalar(host) + host;
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-- SQLNESS SORT_RESULT 3 1
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TQL EVAL (0, 15, '5s') host{host="host2"} + scalar(host);
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-- SQLNESS SORT_RESULT 3 1
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TQL EVAL (0, 15, '5s') scalar(host) + host{host="host2"};
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-- SQLNESS SORT_RESULT 3 1
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TQL EVAL (0, 15, '5s') scalar(host{host="host1"} + scalar(host));
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-- No data input in scalar
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TQL EVAL (350, 360, '5s') scalar(host{host="host1"});
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DELETE from host where ts = 0;
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-- 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)
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-- Test input a empty record batch to ScalarCalculate plan
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TQL EVAL (0, 1600, '6m40s') scalar(host{host="host1"});
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-- error case
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TQL EVAL (0, 15, '5s') scalar(1 + scalar(host{host="host2"}));
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TQL EVAL (0, 15, '5s') scalar(scalar(host{host="host2"}) + 1);
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TQL EVAL (0, 15, '5s') scalar(scalar(host{host="host1"}) + scalar(host{host="host2"}));
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-- Test clamp functions with vector input and scalar bounds
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-- SQLNESS SORT_RESULT 3 1
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TQL EVAL (0, 15, '5s') clamp(host, 0, 12);
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-- SQLNESS SORT_RESULT 3 1
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TQL EVAL (0, 15, '5s') clamp(host, 6 - 6, 6 + 6);
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-- SQLNESS SORT_RESULT 3 1
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TQL EVAL (0, 15, '5s') clamp(host, 12, 0);
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-- SQLNESS SORT_RESULT 3 1
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TQL EVAL (0, 15, '5s') clamp(host{host="host1"}, -1, 6);
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-- SQLNESS SORT_RESULT 3 1
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TQL EVAL (0, 15, '5s') clamp_min(host{host="host1"}, 10);
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-- SQLNESS SORT_RESULT 3 1
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TQL EVAL (0, 15, '5s') clamp_min(host{host="host1"}, 1);
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-- SQLNESS SORT_RESULT 3 1
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TQL EVAL (0, 15, '5s') clamp_max(host{host="host1"}, 1);
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-- SQLNESS SORT_RESULT 3 1
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TQL EVAL (0, 15, '5s') clamp_max(host{host="host1"}, 10);
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-- SQLNESS SORT_RESULT 3 1
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TQL EVAL (0, 15, '5s') clamp_min(host, 1);
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-- SQLNESS SORT_RESULT 3 1
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TQL EVAL (0, 15, '5s') clamp_max(host, 10);
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-- SQLNESS SORT_RESULT 3 1
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TQL EVAL (0, 15, '5s') scalar(clamp(host{host="host1"}, 0, 6));
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-- SQLNESS SORT_RESULT 3 1
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TQL EVAL (0, 15, '5s') scalar(clamp_min(host{host="host1"}, 1));
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-- SQLNESS SORT_RESULT 3 1
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TQL EVAL (0, 15, '5s') scalar(clamp_max(host{host="host1"}, 10));
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-- Test nested clamp functions
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-- SQLNESS SORT_RESULT 3 1
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TQL EVAL (0, 15, '5s') clamp(clamp_min(host{host="host1"}, 1), 0, 12);
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-- SQLNESS SORT_RESULT 3 1
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TQL EVAL (0, 15, '5s') clamp_max(clamp(host{host="host1"}, 0, 15), 6);
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DROP TABLE host;
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CREATE TABLE presence_metric (
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ts timestamp(3) time index,
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instance STRING,
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cpu STRING,
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shard STRING,
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val DOUBLE,
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PRIMARY KEY (instance, cpu, shard),
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);
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INSERT INTO TABLE presence_metric VALUES
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(0, 'i1', 'cpu0', 'a', 1.0),
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(0, 'i1', 'cpu0', 'b', 2.0),
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(0, 'i1', 'cpu1', 'a', 10.0),
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(0, 'i1', 'cpu2', 'a', 20.0),
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(0, 'i2', 'cpu9', 'a', 100.0),
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(200000, 'i1', 'cpu0', 'a', 'NAN'::DOUBLE),
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(200000, 'i1', 'cpu0', 'b', 'NAN'::DOUBLE),
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(200000, 'i1', 'cpu1', 'a', 11.0),
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(200000, 'i1', 'cpu2', 'a', NULL),
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(200000, 'i2', 'cpu9', 'a', 101.0),
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(400000, 'i1', 'cpu1', 'a', 12.0),
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(400000, 'i2', 'cpu9', 'a', 102.0),
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(600000, 'i1', 'cpu0', 'a', 7.0),
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(600000, 'i1', 'cpu0', 'b', 8.0),
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(600000, 'i2', 'cpu9', 'a', 103.0);
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-- NaN drops `cpu0` from the grouped count, while the NULL sample on `cpu2`
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-- still leaves a zero-valued row in `count(...) by (cpu)`.
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-- SQLNESS SORT_RESULT 3 1
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TQL EVAL (0, 600, '200s') count(presence_metric{instance="i1"}) by (cpu);
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-- Nested-count rewrite should preserve grouped presence after stale-NaN filtering and null-value pruning.
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-- SQLNESS SORT_RESULT 3 1
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TQL EVAL (0, 600, '200s') scalar(count(count(presence_metric{instance="i1"}) by (cpu)));
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-- Non-count inner aggregates must drop NULL-only groups before the outer count.
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-- SQLNESS SORT_RESULT 3 1
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TQL EVAL (0, 600, '200s') scalar(count(sum(presence_metric{instance="i1"}) by (cpu)));
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-- False case: outer `by (instance)` keeps multiple series at the scalar input, so scalar should still yield NaN.
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-- SQLNESS SORT_RESULT 3 1
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TQL EVAL (0, 600, '200s') scalar(count(count(presence_metric) by (instance, cpu)) by (instance));
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DROP TABLE presence_metric;
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