prometheus/promql/promqltest/testdata/aggregators.test

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load 5m
http_requests{job="api-server", instance="0", group="production"} 0+10x10
http_requests{job="api-server", instance="1", group="production"} 0+20x10
http_requests{job="api-server", instance="0", group="canary"} 0+30x10
http_requests{job="api-server", instance="1", group="canary"} 0+40x10
http_requests{job="app-server", instance="0", group="production"} 0+50x10
http_requests{job="app-server", instance="1", group="production"} 0+60x10
http_requests{job="app-server", instance="0", group="canary"} 0+70x10
http_requests{job="app-server", instance="1", group="canary"} 0+80x10
load 5m
foo{job="api-server", instance="0", region="europe"} 0+90x10
foo{job="api-server"} 0+100x10
# Simple sum.
eval instant at 50m SUM BY (group) (http_requests{job="api-server"})
{group="canary"} 700
{group="production"} 300
eval instant at 50m SUM BY (group) (((http_requests{job="api-server"})))
{group="canary"} 700
{group="production"} 300
# Test alternative "by"-clause order.
eval instant at 50m sum by (group) (http_requests{job="api-server"})
{group="canary"} 700
{group="production"} 300
# Simple average.
eval instant at 50m avg by (group) (http_requests{job="api-server"})
{group="canary"} 350
{group="production"} 150
# Simple count.
eval instant at 50m count by (group) (http_requests{job="api-server"})
{group="canary"} 2
{group="production"} 2
# Simple without.
eval instant at 50m sum without (instance) (http_requests{job="api-server"})
{group="canary",job="api-server"} 700
{group="production",job="api-server"} 300
# Empty by.
eval instant at 50m sum by () (http_requests{job="api-server"})
{} 1000
# No by/without.
2017-10-05 12:19:52 +00:00
eval instant at 50m sum(http_requests{job="api-server"})
{} 1000
# Empty without.
eval instant at 50m sum without () (http_requests{job="api-server",group="production"})
{group="production",job="api-server",instance="0"} 100
{group="production",job="api-server",instance="1"} 200
# Without with mismatched and missing labels. Do not do this.
eval instant at 50m sum without (instance) (http_requests{job="api-server"} or foo)
{group="canary",job="api-server"} 700
{group="production",job="api-server"} 300
{region="europe",job="api-server"} 900
{job="api-server"} 1000
# Lower-cased aggregation operators should work too.
eval instant at 50m sum(http_requests) by (job) + min(http_requests) by (job) + max(http_requests) by (job) + avg(http_requests) by (job)
{job="app-server"} 4550
{job="api-server"} 1750
2017-10-05 12:19:52 +00:00
# Test alternative "by"-clause order.
eval instant at 50m sum by (group) (http_requests{job="api-server"})
{group="canary"} 700
{group="production"} 300
# Test both alternative "by"-clause orders in one expression.
# Public health warning: stick to one form within an expression (or even
# in an organization), or risk serious user confusion.
2017-10-05 12:19:52 +00:00
eval instant at 50m sum(sum by (group) (http_requests{job="api-server"})) by (job)
{} 1000
eval instant at 50m SUM(http_requests)
{} 3600
eval instant at 50m SUM(http_requests{instance="0"}) BY(job)
{job="api-server"} 400
{job="app-server"} 1200
eval instant at 50m SUM(http_requests) BY (job)
{job="api-server"} 1000
{job="app-server"} 2600
# Non-existent labels mentioned in BY-clauses shouldn't propagate to output.
eval instant at 50m SUM(http_requests) BY (job, nonexistent)
{job="api-server"} 1000
{job="app-server"} 2600
eval instant at 50m COUNT(http_requests) BY (job)
{job="api-server"} 4
{job="app-server"} 4
eval instant at 50m SUM(http_requests) BY (job, group)
{group="canary", job="api-server"} 700
{group="canary", job="app-server"} 1500
{group="production", job="api-server"} 300
{group="production", job="app-server"} 1100
eval instant at 50m AVG(http_requests) BY (job)
{job="api-server"} 250
{job="app-server"} 650
eval instant at 50m MIN(http_requests) BY (job)
{job="api-server"} 100
{job="app-server"} 500
eval instant at 50m MAX(http_requests) BY (job)
{job="api-server"} 400
{job="app-server"} 800
eval instant at 50m abs(-1 * http_requests{group="production",job="api-server"})
{group="production", instance="0", job="api-server"} 100
{group="production", instance="1", job="api-server"} 200
eval instant at 50m floor(0.004 * http_requests{group="production",job="api-server"})
{group="production", instance="0", job="api-server"} 0
{group="production", instance="1", job="api-server"} 0
eval instant at 50m ceil(0.004 * http_requests{group="production",job="api-server"})
{group="production", instance="0", job="api-server"} 1
{group="production", instance="1", job="api-server"} 1
eval instant at 50m round(0.004 * http_requests{group="production",job="api-server"})
{group="production", instance="0", job="api-server"} 0
{group="production", instance="1", job="api-server"} 1
# Round should correctly handle negative numbers.
eval instant at 50m round(-1 * (0.004 * http_requests{group="production",job="api-server"}))
{group="production", instance="0", job="api-server"} 0
{group="production", instance="1", job="api-server"} -1
# Round should round half up.
eval instant at 50m round(0.005 * http_requests{group="production",job="api-server"})
{group="production", instance="0", job="api-server"} 1
{group="production", instance="1", job="api-server"} 1
eval instant at 50m round(-1 * (0.005 * http_requests{group="production",job="api-server"}))
{group="production", instance="0", job="api-server"} 0
{group="production", instance="1", job="api-server"} -1
eval instant at 50m round(1 + 0.005 * http_requests{group="production",job="api-server"})
{group="production", instance="0", job="api-server"} 2
{group="production", instance="1", job="api-server"} 2
eval instant at 50m round(-1 * (1 + 0.005 * http_requests{group="production",job="api-server"}))
{group="production", instance="0", job="api-server"} -1
{group="production", instance="1", job="api-server"} -2
# Round should accept the number to round nearest to.
eval instant at 50m round(0.0005 * http_requests{group="production",job="api-server"}, 0.1)
{group="production", instance="0", job="api-server"} 0.1
{group="production", instance="1", job="api-server"} 0.1
eval instant at 50m round(2.1 + 0.0005 * http_requests{group="production",job="api-server"}, 0.1)
{group="production", instance="0", job="api-server"} 2.2
{group="production", instance="1", job="api-server"} 2.2
eval instant at 50m round(5.2 + 0.0005 * http_requests{group="production",job="api-server"}, 0.1)
{group="production", instance="0", job="api-server"} 5.3
{group="production", instance="1", job="api-server"} 5.3
# Round should work correctly with negative numbers and multiple decimal places.
eval instant at 50m round(-1 * (5.2 + 0.0005 * http_requests{group="production",job="api-server"}), 0.1)
{group="production", instance="0", job="api-server"} -5.2
{group="production", instance="1", job="api-server"} -5.3
# Round should work correctly with big toNearests.
eval instant at 50m round(0.025 * http_requests{group="production",job="api-server"}, 5)
{group="production", instance="0", job="api-server"} 5
{group="production", instance="1", job="api-server"} 5
eval instant at 50m round(0.045 * http_requests{group="production",job="api-server"}, 5)
{group="production", instance="0", job="api-server"} 5
{group="production", instance="1", job="api-server"} 10
# Standard deviation and variance.
eval instant at 50m stddev(http_requests)
{} 229.12878474779
eval instant at 50m stddev by (instance)(http_requests)
{instance="0"} 223.60679774998
{instance="1"} 223.60679774998
eval instant at 50m stdvar(http_requests)
{} 52500
eval instant at 50m stdvar by (instance)(http_requests)
{instance="0"} 50000
{instance="1"} 50000
# Float precision test for standard deviation and variance
clear
load 5m
http_requests{job="api-server", instance="0", group="production"} 0+1.33x10
http_requests{job="api-server", instance="1", group="production"} 0+1.33x10
http_requests{job="api-server", instance="0", group="canary"} 0+1.33x10
eval instant at 50m stddev(http_requests)
{} 0.0
eval instant at 50m stdvar(http_requests)
{} 0.0
# Regression test for missing separator byte in labelsToGroupingKey.
clear
load 5m
label_grouping_test{a="aa", b="bb"} 0+10x10
label_grouping_test{a="a", b="abb"} 0+20x10
eval instant at 50m sum(label_grouping_test) by (a, b)
{a="a", b="abb"} 200
{a="aa", b="bb"} 100
# Tests for min/max.
clear
load 5m
http_requests{job="api-server", instance="0", group="production"} 1
http_requests{job="api-server", instance="1", group="production"} 2
http_requests{job="api-server", instance="0", group="canary"} NaN
http_requests{job="api-server", instance="1", group="canary"} 3
http_requests{job="api-server", instance="2", group="canary"} 4
eval instant at 0m max(http_requests)
{} 4
eval instant at 0m min(http_requests)
{} 1
eval instant at 0m max by (group) (http_requests)
{group="production"} 2
{group="canary"} 4
eval instant at 0m min by (group) (http_requests)
{group="production"} 1
{group="canary"} 3
clear
# Tests for topk/bottomk.
load 5m
http_requests{job="api-server", instance="0", group="production"} 0+10x10
http_requests{job="api-server", instance="1", group="production"} 0+20x10
http_requests{job="api-server", instance="2", group="production"} NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN
http_requests{job="api-server", instance="0", group="canary"} 0+30x10
http_requests{job="api-server", instance="1", group="canary"} 0+40x10
http_requests{job="app-server", instance="0", group="production"} 0+50x10
http_requests{job="app-server", instance="1", group="production"} 0+60x10
http_requests{job="app-server", instance="0", group="canary"} 0+70x10
http_requests{job="app-server", instance="1", group="canary"} 0+80x10
foo 3+0x10
eval_ordered instant at 50m topk(3, http_requests)
http_requests{group="canary", instance="1", job="app-server"} 800
http_requests{group="canary", instance="0", job="app-server"} 700
http_requests{group="production", instance="1", job="app-server"} 600
eval_ordered instant at 50m topk((3), (http_requests))
http_requests{group="canary", instance="1", job="app-server"} 800
http_requests{group="canary", instance="0", job="app-server"} 700
http_requests{group="production", instance="1", job="app-server"} 600
eval_ordered instant at 50m topk(5, http_requests{group="canary",job="app-server"})
http_requests{group="canary", instance="1", job="app-server"} 800
http_requests{group="canary", instance="0", job="app-server"} 700
eval_ordered instant at 50m bottomk(3, http_requests)
http_requests{group="production", instance="0", job="api-server"} 100
http_requests{group="production", instance="1", job="api-server"} 200
http_requests{group="canary", instance="0", job="api-server"} 300
eval_ordered instant at 50m bottomk(5, http_requests{group="canary",job="app-server"})
http_requests{group="canary", instance="0", job="app-server"} 700
http_requests{group="canary", instance="1", job="app-server"} 800
eval instant at 50m topk by (group) (1, http_requests)
http_requests{group="production", instance="1", job="app-server"} 600
http_requests{group="canary", instance="1", job="app-server"} 800
eval instant at 50m bottomk by (group) (2, http_requests)
http_requests{group="canary", instance="0", job="api-server"} 300
http_requests{group="canary", instance="1", job="api-server"} 400
http_requests{group="production", instance="0", job="api-server"} 100
http_requests{group="production", instance="1", job="api-server"} 200
eval_ordered instant at 50m bottomk by (group) (2, http_requests{group="production"})
http_requests{group="production", instance="0", job="api-server"} 100
http_requests{group="production", instance="1", job="api-server"} 200
# Test NaN is sorted away from the top/bottom.
eval_ordered instant at 50m topk(3, http_requests{job="api-server",group="production"})
http_requests{job="api-server", instance="1", group="production"} 200
http_requests{job="api-server", instance="0", group="production"} 100
http_requests{job="api-server", instance="2", group="production"} NaN
eval_ordered instant at 50m bottomk(3, http_requests{job="api-server",group="production"})
http_requests{job="api-server", instance="0", group="production"} 100
http_requests{job="api-server", instance="1", group="production"} 200
http_requests{job="api-server", instance="2", group="production"} NaN
# Test topk and bottomk allocate min(k, input_vector) for results vector
eval_ordered instant at 50m bottomk(9999999999, http_requests{job="app-server",group="canary"})
http_requests{group="canary", instance="0", job="app-server"} 700
http_requests{group="canary", instance="1", job="app-server"} 800
eval_ordered instant at 50m topk(9999999999, http_requests{job="api-server",group="production"})
http_requests{job="api-server", instance="1", group="production"} 200
http_requests{job="api-server", instance="0", group="production"} 100
http_requests{job="api-server", instance="2", group="production"} NaN
# Bug #5276.
eval_ordered instant at 50m topk(scalar(foo), http_requests)
http_requests{group="canary", instance="1", job="app-server"} 800
http_requests{group="canary", instance="0", job="app-server"} 700
http_requests{group="production", instance="1", job="app-server"} 600
clear
# Tests for count_values.
load 5m
version{job="api-server", instance="0", group="production"} 6
version{job="api-server", instance="1", group="production"} 6
version{job="api-server", instance="2", group="production"} 6
version{job="api-server", instance="0", group="canary"} 8
version{job="api-server", instance="1", group="canary"} 8
version{job="app-server", instance="0", group="production"} 6
version{job="app-server", instance="1", group="production"} 6
version{job="app-server", instance="0", group="canary"} 7
version{job="app-server", instance="1", group="canary"} 7
eval instant at 5m count_values("version", version)
{version="6"} 5
{version="7"} 2
{version="8"} 2
eval instant at 5m count_values(((("version"))), version)
{version="6"} 5
{version="7"} 2
{version="8"} 2
eval instant at 5m count_values without (instance)("version", version)
{job="api-server", group="production", version="6"} 3
{job="api-server", group="canary", version="8"} 2
{job="app-server", group="production", version="6"} 2
{job="app-server", group="canary", version="7"} 2
# Overwrite label with output. Don't do this.
eval instant at 5m count_values without (instance)("job", version)
{job="6", group="production"} 5
{job="8", group="canary"} 2
{job="7", group="canary"} 2
# Overwrite label with output. Don't do this.
eval instant at 5m count_values by (job, group)("job", version)
{job="6", group="production"} 5
{job="8", group="canary"} 2
{job="7", group="canary"} 2
2016-07-08 12:48:48 +00:00
# Tests for quantile.
clear
load 10s
data{test="two samples",point="a"} 0
data{test="two samples",point="b"} 1
data{test="three samples",point="a"} 0
data{test="three samples",point="b"} 1
data{test="three samples",point="c"} 2
data{test="uneven samples",point="a"} 0
data{test="uneven samples",point="b"} 1
data{test="uneven samples",point="c"} 4
foo .8
2016-07-08 12:48:48 +00:00
eval instant at 1m quantile without(point)(0.8, data)
{test="two samples"} 0.8
{test="three samples"} 1.6
{test="uneven samples"} 2.8
# Bug #5276.
eval instant at 1m quantile without(point)(scalar(foo), data)
{test="two samples"} 0.8
{test="three samples"} 1.6
{test="uneven samples"} 2.8
eval instant at 1m quantile without(point)((scalar(foo)), data)
{test="two samples"} 0.8
{test="three samples"} 1.6
{test="uneven samples"} 2.8
eval_warn instant at 1m quantile without(point)(NaN, data)
{test="two samples"} NaN
{test="three samples"} NaN
{test="uneven samples"} NaN
# Tests for group.
clear
load 10s
data{test="two samples",point="a"} 0
data{test="two samples",point="b"} 1
data{test="three samples",point="a"} 0
data{test="three samples",point="b"} 1
data{test="three samples",point="c"} 2
data{test="uneven samples",point="a"} 0
data{test="uneven samples",point="b"} 1
data{test="uneven samples",point="c"} 4
foo .8
eval instant at 1m group without(point)(data)
{test="two samples"} 1
{test="three samples"} 1
{test="uneven samples"} 1
eval instant at 1m group(foo)
{} 1
# Tests for avg.
clear
load 10s
data{test="ten",point="a"} 8
data{test="ten",point="b"} 10
data{test="ten",point="c"} 12
data{test="inf",point="a"} 0
data{test="inf",point="b"} Inf
data{test="inf",point="d"} Inf
data{test="inf",point="c"} 0
data{test="-inf",point="a"} -Inf
data{test="-inf",point="b"} -Inf
data{test="-inf",point="c"} 0
data{test="inf2",point="a"} Inf
data{test="inf2",point="b"} 0
data{test="inf2",point="c"} Inf
data{test="-inf2",point="a"} -Inf
data{test="-inf2",point="b"} 0
data{test="-inf2",point="c"} -Inf
data{test="inf3",point="b"} Inf
data{test="inf3",point="d"} Inf
data{test="inf3",point="c"} Inf
data{test="inf3",point="d"} -Inf
data{test="-inf3",point="b"} -Inf
data{test="-inf3",point="d"} -Inf
data{test="-inf3",point="c"} -Inf
data{test="-inf3",point="c"} Inf
data{test="nan",point="a"} -Inf
data{test="nan",point="b"} 0
data{test="nan",point="c"} Inf
data{test="big",point="a"} 9.988465674311579e+307
data{test="big",point="b"} 9.988465674311579e+307
data{test="big",point="c"} 9.988465674311579e+307
data{test="big",point="d"} 9.988465674311579e+307
data{test="-big",point="a"} -9.988465674311579e+307
data{test="-big",point="b"} -9.988465674311579e+307
data{test="-big",point="c"} -9.988465674311579e+307
data{test="-big",point="d"} -9.988465674311579e+307
data{test="bigzero",point="a"} -9.988465674311579e+307
data{test="bigzero",point="b"} -9.988465674311579e+307
data{test="bigzero",point="c"} 9.988465674311579e+307
data{test="bigzero",point="d"} 9.988465674311579e+307
eval instant at 1m avg(data{test="ten"})
{} 10
eval instant at 1m avg(data{test="inf"})
{} Inf
eval instant at 1m avg(data{test="inf2"})
{} Inf
eval instant at 1m avg(data{test="inf3"})
{} NaN
eval instant at 1m avg(data{test="-inf"})
{} -Inf
eval instant at 1m avg(data{test="-inf2"})
{} -Inf
eval instant at 1m avg(data{test="-inf3"})
{} NaN
eval instant at 1m avg(data{test="nan"})
{} NaN
eval instant at 1m avg(data{test="big"})
{} 9.988465674311579e+307
eval instant at 1m avg(data{test="-big"})
{} -9.988465674311579e+307
eval instant at 1m avg(data{test="bigzero"})
{} 0
# Test summing extreme values.
clear
load 10s
data{test="ten",point="a"} 2
data{test="ten",point="b"} 8
data{test="ten",point="c"} 1e+100
data{test="ten",point="d"} -1e100
data{test="pos_inf",group="1",point="a"} Inf
data{test="pos_inf",group="1",point="b"} 2
data{test="pos_inf",group="2",point="a"} 2
data{test="pos_inf",group="2",point="b"} Inf
data{test="neg_inf",group="1",point="a"} -Inf
data{test="neg_inf",group="1",point="b"} 2
data{test="neg_inf",group="2",point="a"} 2
data{test="neg_inf",group="2",point="b"} -Inf
data{test="inf_inf",point="a"} Inf
data{test="inf_inf",point="b"} -Inf
data{test="nan",group="1",point="a"} NaN
data{test="nan",group="1",point="b"} 2
data{test="nan",group="2",point="a"} 2
data{test="nan",group="2",point="b"} NaN
eval instant at 1m sum(data{test="ten"})
{} 10
eval instant at 1m sum by (group) (data{test="pos_inf"})
{group="1"} Inf
{group="2"} Inf
eval instant at 1m sum by (group) (data{test="neg_inf"})
{group="1"} -Inf
{group="2"} -Inf
eval instant at 1m sum(data{test="inf_inf"})
{} NaN
eval instant at 1m sum by (group) (data{test="nan"})
{group="1"} NaN
{group="2"} NaN
clear
# Test that aggregations are deterministic.
# Commented because it is flaky in range mode.
#load 10s
# up{job="prometheus"} 1
# up{job="prometheus2"} 1
#
#eval instant at 1m count(topk(1,max(up) without()) == topk(1,max(up) without()) == topk(1,max(up) without()) == topk(1,max(up) without()) == topk(1,max(up) without()))
# {} 1