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255 lines
7.2 KiB
SQL
255 lines
7.2 KiB
SQL
-- from prometheus/promql/testdata/histograms.test
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-- cases related to metric `testhistogram_bucket`
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create table histogram_bucket (
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ts timestamp time index,
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le string,
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s string,
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val double,
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primary key (s, le),
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);
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insert into histogram_bucket values
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(3000000, "0.1", "positive", 50),
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(3000000, ".2", "positive", 70),
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(3000000, "1e0", "positive", 110),
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(3000000, "+Inf", "positive", 120),
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(3000000, "-.2", "negative", 10),
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(3000000, "-0.1", "negative", 20),
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(3000000, "0.3", "negative", 20),
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(3000000, "+Inf", "negative", 30);
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-- Quantile too low.
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-- SQLNESS SORT_RESULT 3 1
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tql eval (3000, 3000, '1s') histogram_quantile(-0.1, histogram_bucket);
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-- Quantile too high.
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-- SQLNESS SORT_RESULT 3 1
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tql eval (3000, 3000, '1s') histogram_quantile(1.01, histogram_bucket);
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-- Quantile invalid.
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-- SQLNESS SORT_RESULT 3 1
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tql eval (3000, 3000, '1s') histogram_quantile(NaN, histogram_bucket);
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-- Quantile value in lowest bucket, which is positive.
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-- SQLNESS SORT_RESULT 3 1
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tql eval (3000, 3000, '1s') histogram_quantile(0, histogram_bucket{s="positive"});
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-- Quantile value in lowest bucket, which is negative.
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-- SQLNESS SORT_RESULT 3 1
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tql eval (3000, 3000, '1s') histogram_quantile(0, histogram_bucket{s="negative"});
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-- Quantile value in highest bucket.
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-- SQLNESS SORT_RESULT 3 1
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tql eval (3000, 3000, '1s') histogram_quantile(1, histogram_bucket);
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-- Finally some useful quantiles.
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-- SQLNESS SORT_RESULT 3 1
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tql eval (3000, 3000, '1s') histogram_quantile(0.2, histogram_bucket);
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-- SQLNESS SORT_RESULT 3 1
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tql eval (3000, 3000, '1s') histogram_quantile(0.5, histogram_bucket);
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-- SQLNESS SORT_RESULT 3 1
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tql eval (3000, 3000, '1s') histogram_quantile(0.8, histogram_bucket);
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-- SQLNESS SORT_RESULT 3 1
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tql eval (3000, 3000, '1s') label_replace(histogram_quantile(0.8, histogram_bucket), "s2", "$1", "s", "(.*)tive");
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-- More realistic with rates.
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-- This case doesn't contains value because other point are not inserted.
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-- quantile with rate is covered in other cases
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-- SQLNESS SORT_RESULT 3 1
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tql eval (3000, 3000, '1s') histogram_quantile(0.2, rate(histogram_bucket[5m]));
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drop table histogram_bucket;
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-- cases related to `testhistogram2_bucket`
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create table histogram2_bucket (
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ts timestamp time index,
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le string,
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val double,
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primary key (le),
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);
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insert into histogram2_bucket values
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(0, "0", 0),
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(300000, "0", 0),
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(600000, "0", 0),
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(900000, "0", 0),
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(1200000, "0", 0),
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(1500000, "0", 0),
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(1800000, "0", 0),
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(2100000, "0", 0),
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(2400000, "0", 0),
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(2700000, "0", 0),
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(0, "2", 1),
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(300000, "2", 2),
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(600000, "2", 3),
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(900000, "2", 4),
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(1200000, "2", 5),
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(1500000, "2", 6),
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(1800000, "2", 7),
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(2100000, "2", 8),
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(2400000, "2", 9),
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(2700000, "2", 10),
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(0, "4", 2),
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(300000, "4", 4),
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(600000, "4", 6),
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(900000, "4", 8),
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(1200000, "4", 10),
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(1500000, "4", 12),
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(1800000, "4", 14),
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(2100000, "4", 16),
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(2400000, "4", 18),
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(2700000, "4", 20),
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(0, "6", 3),
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(300000, "6", 6),
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(600000, "6", 9),
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(900000, "6", 12),
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(1200000, "6", 15),
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(1500000, "6", 18),
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(1800000, "6", 21),
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(2100000, "6", 24),
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(2400000, "6", 27),
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(2700000, "6", 30),
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(0, "+Inf", 3),
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(300000, "+Inf", 6),
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(600000, "+Inf", 9),
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(900000, "+Inf", 12),
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(1200000, "+Inf", 15),
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(1500000, "+Inf", 18),
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(1800000, "+Inf", 21),
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(2100000, "+Inf", 24),
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(2400000, "+Inf", 27),
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(2700000, "+Inf", 30);
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-- Want results exactly in the middle of the bucket.
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-- SQLNESS SORT_RESULT 3 1
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tql eval (420, 420, '1s') histogram_quantile(0.166, histogram2_bucket);
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-- SQLNESS SORT_RESULT 3 1
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tql eval (420, 420, '1s') histogram_quantile(0.5, histogram2_bucket);
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-- SQLNESS SORT_RESULT 3 1
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tql eval (420, 420, '1s') histogram_quantile(0.833, histogram2_bucket);
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-- SQLNESS SORT_RESULT 3 1
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tql eval (2820, 2820, '1s') histogram_quantile(0.166, rate(histogram2_bucket[15m]));
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-- SQLNESS SORT_RESULT 3 1
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tql eval (2820, 2820, '1s') histogram_quantile(0.5, rate(histogram2_bucket[15m]));
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-- SQLNESS SORT_RESULT 3 1
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tql eval (2820, 2820, '1s') histogram_quantile(0.833, rate(histogram2_bucket[15m]));
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drop table histogram2_bucket;
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-- not from Prometheus
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-- makesure the sort expr works as expected
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create table histogram3_bucket (
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ts timestamp time index,
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le string,
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s string,
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val double,
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primary key (s, le),
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);
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insert into histogram3_bucket values
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(2900000, "0.1", "a", 0),
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(2900000, "1", "a", 0),
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(2900000, "5", "a", 0),
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(2900000, "+Inf", "a", 0),
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(3000000, "0.1", "a", 50),
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(3000000, "1", "a", 70),
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(3000000, "5", "a", 110),
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(3000000, "+Inf", "a", 120),
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(3005000, "0.1", "a", 10),
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(3005000, "1", "a", 20),
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(3005000, "5", "a", 20),
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(3005000, "+Inf", "a", 30);
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-- SQLNESS SORT_RESULT 3 1
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tql eval (3000, 3005, '3s') histogram_quantile(0.5, sum by(le, s) (rate(histogram3_bucket[5m])));
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drop table histogram3_bucket;
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-- test with invalid data (unaligned buckets)
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create table histogram4_bucket (
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ts timestamp time index,
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le string,
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s string,
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val double,
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primary key (s, le),
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);
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insert into histogram4_bucket values
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(2900000, "0.1", "a", 0),
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(2900000, "1", "a", 10),
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(2900000, "5", "a", 20),
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(2900000, "+Inf", "a", 150),
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(3000000, "0.1", "a", 50),
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(3000000, "1", "a", 70),
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(3000000, "5", "a", 120),
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-- INF here is missing
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;
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-- SQLNESS SORT_RESULT 3 1
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tql eval (2900, 3000, '100s') histogram_quantile(0.9, histogram4_bucket);
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drop table histogram4_bucket;
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-- SQLNESS SORT_RESULT 3 1
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tql eval(0, 10, '10s') histogram_quantile(0.99, sum by(pod,instance, fff) (rate(greptime_servers_postgres_query_elapsed_bucket{instance=~"xxx"}[1m])));
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-- test case where table exists but doesn't have 'le' column should raise error
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CREATE TABLE greptime_servers_postgres_query_elapsed_no_le (
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pod STRING,
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instance STRING,
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t TIMESTAMP TIME INDEX,
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v DOUBLE,
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PRIMARY KEY (pod, instance)
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);
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-- should return empty result instead of error when 'le' column is missin
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-- SQLNESS SORT_RESULT 3 1
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tql eval(0, 10, '10s') histogram_quantile(0.99, sum by(pod,instance, le) (rate(greptime_servers_postgres_query_elapsed_no_le{instance=~"xxx"}[1m])));
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-- SQLNESS SORT_RESULT 3 1
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tql eval(0, 10, '10s') histogram_quantile(0.99, sum by(pod,instance, fbf) (rate(greptime_servers_postgres_query_elapsed_no_le{instance=~"xxx"}[1m])));
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drop table greptime_servers_postgres_query_elapsed_no_le;
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-- test case with some missing buckets
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create table histogram5_bucket (
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ts timestamp time index,
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le string,
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s string,
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val double,
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primary key (s, le),
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);
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insert into histogram5_bucket values
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(3000000, "0.1", "a", 0),
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-- (3000000, "1", "a", 0),
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-- (3000000, "5", "a", 0),
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-- (3000000, "+Inf", "a", 0),
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(3005000, "0.1", "a", 50),
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(3005000, "1", "a", 70),
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(3005000, "5", "a", 110),
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(3005000, "+Inf", "a", 120),
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(3010000, "0.1", "a", 10),
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-- (3010000, "1", "a", 20),
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-- (3010000, "5", "a", 20),
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(3010000, "+Inf", "a", 30),
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(3015000, "0.1", "a", 10),
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(3015000, "1", "a", 10),
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(3015000, "3", "a", 20), --
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(3015000, "5", "a", 30),
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(3015000, "+Inf", "a", 50);
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-- SQLNESS SORT_RESULT 3 1
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tql eval (3000, 3015, '3s') histogram_quantile(0.5, histogram5_bucket);
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drop table histogram5_bucket;
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