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Adapt PR #9118 at d0aa4ecb7b to release control flow, retaining the #9089 reset-index precision fix. Import upstream generated SQL expectations.
Co-authored-by: Dennis Zhuang <killme2008@gmail.com>
Signed-off-by: discord9 <55937128+discord9@users.noreply.github.com>
(cherry picked from commit ec8691a9186ab42d9d5f2ee1f2ea154112921b96)
Signed-off-by: discord9 <55937128+discord9@users.noreply.github.com>
93 lines
3.1 KiB
SQL
93 lines
3.1 KiB
SQL
-- NULL fields are missing samples, not zero-valued samples.
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CREATE TABLE null_samples (
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ts TIMESTAMP(3) TIME INDEX,
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host STRING PRIMARY KEY,
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val DOUBLE,
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);
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INSERT INTO null_samples VALUES
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(0, 'a', 1.0),
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(1000, 'a', NULL),
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(2000, 'a', NULL),
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(3000, 'a', 4.0),
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(0, 'b', NULL),
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(1000, 'b', NULL),
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(2000, 'b', NULL),
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(3000, 'b', NULL);
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-- At t=2 the trailing NULLs must not hide 1; at t=3 count must be 2.
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-- At t=7 the left-open window is empty. Valid results must disappear.
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-- SQLNESS SORT_RESULT 3 1
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TQL EVAL (2, 7, '1s') count_over_time(null_samples{host="a"}[4s]);
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-- SQLNESS SORT_RESULT 3 1
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TQL EVAL (2, 7, '1s') last_over_time(null_samples{host="a"}[4s]);
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-- SQLNESS SORT_RESULT 3 1
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TQL EVAL (2, 7, '1s') present_over_time(null_samples{host="a"}[4s]);
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-- SQLNESS SORT_RESULT 3 1
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TQL EVAL (2, 7, '1s') absent_over_time(null_samples{host="a"}[4s]);
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-- All-NULL windows have no samples: only absent_over_time returns 1.
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TQL EVAL (3, 3, '1s') count_over_time(null_samples{host="b"}[4s]);
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TQL EVAL (3, 3, '1s') last_over_time(null_samples{host="b"}[4s]);
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TQL EVAL (3, 3, '1s') present_over_time(null_samples{host="b"}[4s]);
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TQL EVAL (3, 3, '1s') absent_over_time(null_samples{host="b"}[4s]);
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-- Every function below sees the same two samples, 1.0 at 0s and 4.0 at 3s.
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TQL EVAL (3, 3, '1s') rate(null_samples{host="a"}[4s]);
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TQL EVAL (3, 3, '1s') increase(null_samples{host="a"}[4s]);
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TQL EVAL (3, 3, '1s') delta(null_samples{host="a"}[4s]);
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TQL EVAL (3, 3, '1s') idelta(null_samples{host="a"}[4s]);
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TQL EVAL (3, 3, '1s') irate(null_samples{host="a"}[4s]);
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TQL EVAL (3, 3, '1s') changes(null_samples{host="a"}[4s]);
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TQL EVAL (3, 3, '1s') resets(null_samples{host="a"}[4s]);
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TQL EVAL (3, 3, '1s') avg_over_time(null_samples{host="a"}[4s]);
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TQL EVAL (3, 3, '1s') stddev_over_time(null_samples{host="a"}[4s]);
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TQL EVAL (3, 3, '1s') stdvar_over_time(null_samples{host="a"}[4s]);
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TQL EVAL (3, 3, '1s') quantile_over_time(0.5, null_samples{host="a"}[4s]);
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-- A window whose only slot is NULL holds no sample, like a window with no row.
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TQL EVAL (1, 1, '1s') rate(null_samples{host="a"}[1s]);
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-- Prometheus returns an empty vector for a range without samples, not NaN.
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TQL EVAL (1, 1, '1s') quantile_over_time(0.5, null_samples{host="a"}[1s]);
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-- `b` never has a sample, so it must not reach the aggregation.
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-- SQLNESS SORT_RESULT 3 1
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TQL EVAL (0, 15, '1s') avg by (host) (rate(null_samples[4s]));
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DROP TABLE null_samples;
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CREATE TABLE multi_field (
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ts TIMESTAMP(3) TIME INDEX,
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host STRING PRIMARY KEY,
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f1 DOUBLE,
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f2 DOUBLE
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);
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INSERT INTO multi_field VALUES
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(0, 'a', 1.0, 10.0),
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(1000, 'a', 2.0, NULL),
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(2000, 'a', 3.0, NULL),
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(3000, 'a', 4.0, 40.0);
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-- f1 has two samples in this window and f2 only one, so f1 keeps its result while f2 is NULL.
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-- Dropping the whole row would take f1's samples with it.
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-- SQLNESS SORT_RESULT 3 1
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TQL EVAL (1, 1, '1s') rate(multi_field[4s]);
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-- A selector emits the same shape: the row stays, the field without a sample is NULL.
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-- SQLNESS SORT_RESULT 3 1
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TQL EVAL (1, 1, '1s') multi_field;
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DROP TABLE multi_field;
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