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d6a80c2b76
This will give a prediction for the value of my_timeseries in 2 hours, based on the last hour of data.
666 lines
25 KiB
Plaintext
666 lines
25 KiB
Plaintext
load 5m
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http_requests{job="api-server", instance="0", group="production"} 0+10x10
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http_requests{job="api-server", instance="1", group="production"} 0+20x10
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http_requests{job="api-server", instance="0", group="canary"} 0+30x10
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http_requests{job="api-server", instance="1", group="canary"} 0+40x10
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http_requests{job="app-server", instance="0", group="production"} 0+50x10
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http_requests{job="app-server", instance="1", group="production"} 0+60x10
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http_requests{job="app-server", instance="0", group="canary"} 0+70x10
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http_requests{job="app-server", instance="1", group="canary"} 0+80x10
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load 5m
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x{y="testvalue"} 0+10x10
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load 5m
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testcounter_reset_middle 0+10x4 0+10x5
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testcounter_reset_end 0+10x9 0 10
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load 5m
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label_grouping_test{a="aa", b="bb"} 0+10x10
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label_grouping_test{a="a", b="abb"} 0+20x10
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load 5m
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vector_matching_a{l="x"} 0+1x100
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vector_matching_a{l="y"} 0+2x50
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vector_matching_b{l="x"} 0+4x25
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load 5m
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cpu_count{instance="0", type="numa"} 0+30x10
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cpu_count{instance="0", type="smp"} 0+10x20
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cpu_count{instance="1", type="smp"} 0+20x10
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eval instant at 50m SUM(http_requests)
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{} 3600
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eval instant at 50m SUM(http_requests{instance="0"}) BY(job)
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{job="api-server"} 400
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{job="app-server"} 1200
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eval instant at 50m SUM(http_requests{instance="0"}) BY(job) KEEP_COMMON
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{instance="0", job="api-server"} 400
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{instance="0", job="app-server"} 1200
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eval instant at 50m SUM(http_requests) BY (job)
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{job="api-server"} 1000
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{job="app-server"} 2600
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# Non-existent labels mentioned in BY-clauses shouldn't propagate to output.
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eval instant at 50m SUM(http_requests) BY (job, nonexistent)
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{job="api-server"} 1000
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{job="app-server"} 2600
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eval instant at 50m COUNT(http_requests) BY (job)
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{job="api-server"} 4
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{job="app-server"} 4
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eval instant at 50m SUM(http_requests) BY (job, group)
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{group="canary", job="api-server"} 700
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{group="canary", job="app-server"} 1500
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{group="production", job="api-server"} 300
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{group="production", job="app-server"} 1100
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eval instant at 50m AVG(http_requests) BY (job)
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{job="api-server"} 250
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{job="app-server"} 650
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eval instant at 50m MIN(http_requests) BY (job)
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{job="api-server"} 100
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{job="app-server"} 500
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eval instant at 50m MAX(http_requests) BY (job)
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{job="api-server"} 400
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{job="app-server"} 800
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eval instant at 50m SUM(http_requests) BY (job) - COUNT(http_requests) BY (job)
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{job="api-server"} 996
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{job="app-server"} 2596
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eval instant at 50m 2 - SUM(http_requests) BY (job)
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{job="api-server"} -998
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{job="app-server"} -2598
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eval instant at 50m 1000 / SUM(http_requests) BY (job)
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{job="api-server"} 1
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{job="app-server"} 0.38461538461538464
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eval instant at 50m SUM(http_requests) BY (job) - 2
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{job="api-server"} 998
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{job="app-server"} 2598
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eval instant at 50m SUM(http_requests) BY (job) % 3
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{job="api-server"} 1
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{job="app-server"} 2
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eval instant at 50m SUM(http_requests) BY (job) / 0
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{job="api-server"} +Inf
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{job="app-server"} +Inf
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eval instant at 50m SUM(http_requests) BY (job) > 1000
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{job="app-server"} 2600
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eval instant at 50m 1000 < SUM(http_requests) BY (job)
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{job="app-server"} 1000
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eval instant at 50m SUM(http_requests) BY (job) <= 1000
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{job="api-server"} 1000
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eval instant at 50m SUM(http_requests) BY (job) != 1000
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{job="app-server"} 2600
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eval instant at 50m SUM(http_requests) BY (job) == 1000
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{job="api-server"} 1000
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eval instant at 50m SUM(http_requests) BY (job) + SUM(http_requests) BY (job)
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{job="api-server"} 2000
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{job="app-server"} 5200
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eval instant at 50m http_requests{job="api-server", group="canary"}
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http_requests{group="canary", instance="0", job="api-server"} 300
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http_requests{group="canary", instance="1", job="api-server"} 400
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eval instant at 50m http_requests{job="api-server", group="canary"} + rate(http_requests{job="api-server"}[5m]) * 5 * 60
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{group="canary", instance="0", job="api-server"} 330
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{group="canary", instance="1", job="api-server"} 440
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eval instant at 50m rate(http_requests[25m]) * 25 * 60
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{group="canary", instance="0", job="api-server"} 150
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{group="canary", instance="0", job="app-server"} 350
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{group="canary", instance="1", job="api-server"} 200
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{group="canary", instance="1", job="app-server"} 400
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{group="production", instance="0", job="api-server"} 50
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{group="production", instance="0", job="app-server"} 249.99999999999997
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{group="production", instance="1", job="api-server"} 100
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{group="production", instance="1", job="app-server"} 300
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eval instant at 50m delta(http_requests[25m], 1)
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{group="canary", instance="0", job="api-server"} 150
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{group="canary", instance="0", job="app-server"} 350
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{group="canary", instance="1", job="api-server"} 200
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{group="canary", instance="1", job="app-server"} 400
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{group="production", instance="0", job="api-server"} 50
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{group="production", instance="0", job="app-server"} 250
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{group="production", instance="1", job="api-server"} 100
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{group="production", instance="1", job="app-server"} 300
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eval_ordered instant at 50m sort(http_requests)
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http_requests{group="production", instance="0", job="api-server"} 100
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http_requests{group="production", instance="1", job="api-server"} 200
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http_requests{group="canary", instance="0", job="api-server"} 300
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http_requests{group="canary", instance="1", job="api-server"} 400
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http_requests{group="production", instance="0", job="app-server"} 500
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http_requests{group="production", instance="1", job="app-server"} 600
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http_requests{group="canary", instance="0", job="app-server"} 700
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http_requests{group="canary", instance="1", job="app-server"} 800
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eval_ordered instant at 50m sort(0 / round(http_requests, 400) + http_requests)
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{group="production", instance="0", job="api-server"} NaN
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{group="production", instance="1", job="api-server"} 200
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{group="canary", instance="0", job="api-server"} 300
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{group="canary", instance="1", job="api-server"} 400
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{group="production", instance="0", job="app-server"} 500
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{group="production", instance="1", job="app-server"} 600
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{group="canary", instance="0", job="app-server"} 700
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{group="canary", instance="1", job="app-server"} 800
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eval_ordered instant at 50m sort_desc(http_requests)
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http_requests{group="canary", instance="1", job="app-server"} 800
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http_requests{group="canary", instance="0", job="app-server"} 700
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http_requests{group="production", instance="1", job="app-server"} 600
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http_requests{group="production", instance="0", job="app-server"} 500
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http_requests{group="canary", instance="1", job="api-server"} 400
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http_requests{group="canary", instance="0", job="api-server"} 300
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http_requests{group="production", instance="1", job="api-server"} 200
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http_requests{group="production", instance="0", job="api-server"} 100
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eval_ordered instant at 50m topk(3, http_requests)
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http_requests{group="canary", instance="1", job="app-server"} 800
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http_requests{group="canary", instance="0", job="app-server"} 700
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http_requests{group="production", instance="1", job="app-server"} 600
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eval_ordered instant at 50m topk(5, http_requests{group="canary",job="app-server"})
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http_requests{group="canary", instance="1", job="app-server"} 800
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http_requests{group="canary", instance="0", job="app-server"} 700
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eval_ordered instant at 50m bottomk(3, http_requests)
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http_requests{group="production", instance="0", job="api-server"} 100
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http_requests{group="production", instance="1", job="api-server"} 200
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http_requests{group="canary", instance="0", job="api-server"} 300
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eval_ordered instant at 50m bottomk(5, http_requests{group="canary",job="app-server"})
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http_requests{group="canary", instance="0", job="app-server"} 700
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http_requests{group="canary", instance="1", job="app-server"} 800
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# Single-letter label names and values.
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eval instant at 50m x{y="testvalue"}
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x{y="testvalue"} 100
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# Lower-cased aggregation operators should work too.
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eval instant at 50m sum(http_requests) by (job) + min(http_requests) by (job) + max(http_requests) by (job) + avg(http_requests) by (job)
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{job="app-server"} 4550
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{job="api-server"} 1750
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# Deltas should be adjusted for target interval vs. samples under target interval.
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eval instant at 50m delta(http_requests{group="canary", instance="1", job="app-server"}[18m])
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{group="canary", instance="1", job="app-server"} 288
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# Deltas should perform the same operation when 2nd argument is 0.
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eval instant at 50m delta(http_requests{group="canary", instance="1", job="app-server"}[18m], 0)
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{group="canary", instance="1", job="app-server"} 288
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# Rates should calculate per-second rates.
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eval instant at 50m rate(http_requests{group="canary", instance="1", job="app-server"}[60m])
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{group="canary", instance="1", job="app-server"} 0.26666666666666666
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# Counter resets at in the middle of range are handled correctly by rate().
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eval instant at 50m rate(testcounter_reset_middle[60m])
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{} 0.03
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# Counter resets at end of range are ignored by rate().
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eval instant at 50m rate(testcounter_reset_end[5m])
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{} 0
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# count_scalar for a non-empty vector should return scalar element count.
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eval instant at 50m count_scalar(http_requests)
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8
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# count_scalar for an empty vector should return scalar 0.
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eval instant at 50m count_scalar(nonexistent)
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0
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eval instant at 50m http_requests{group!="canary"}
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http_requests{group="production", instance="1", job="app-server"} 600
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http_requests{group="production", instance="0", job="app-server"} 500
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http_requests{group="production", instance="1", job="api-server"} 200
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http_requests{group="production", instance="0", job="api-server"} 100
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eval instant at 50m http_requests{job=~"server",group!="canary"}
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http_requests{group="production", instance="1", job="app-server"} 600
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http_requests{group="production", instance="0", job="app-server"} 500
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http_requests{group="production", instance="1", job="api-server"} 200
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http_requests{group="production", instance="0", job="api-server"} 100
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eval instant at 50m http_requests{job!~"api",group!="canary"}
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http_requests{group="production", instance="1", job="app-server"} 600
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http_requests{group="production", instance="0", job="app-server"} 500
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eval instant at 50m count_scalar(http_requests{job=~"^server$"})
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0
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eval instant at 50m http_requests{group="production",job=~"^api"}
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http_requests{group="production", instance="0", job="api-server"} 100
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http_requests{group="production", instance="1", job="api-server"} 200
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eval instant at 50m abs(-1 * http_requests{group="production",job="api-server"})
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{group="production", instance="0", job="api-server"} 100
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{group="production", instance="1", job="api-server"} 200
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eval instant at 50m floor(0.004 * http_requests{group="production",job="api-server"})
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{group="production", instance="0", job="api-server"} 0
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{group="production", instance="1", job="api-server"} 0
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eval instant at 50m ceil(0.004 * http_requests{group="production",job="api-server"})
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{group="production", instance="0", job="api-server"} 1
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{group="production", instance="1", job="api-server"} 1
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eval instant at 50m round(0.004 * http_requests{group="production",job="api-server"})
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{group="production", instance="0", job="api-server"} 0
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{group="production", instance="1", job="api-server"} 1
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# Round should correctly handle negative numbers.
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eval instant at 50m round(-1 * (0.004 * http_requests{group="production",job="api-server"}))
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{group="production", instance="0", job="api-server"} 0
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{group="production", instance="1", job="api-server"} -1
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# Round should round half up.
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eval instant at 50m round(0.005 * http_requests{group="production",job="api-server"})
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{group="production", instance="0", job="api-server"} 1
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{group="production", instance="1", job="api-server"} 1
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eval instant at 50m round(-1 * (0.005 * http_requests{group="production",job="api-server"}))
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{group="production", instance="0", job="api-server"} 0
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{group="production", instance="1", job="api-server"} -1
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eval instant at 50m round(1 + 0.005 * http_requests{group="production",job="api-server"})
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{group="production", instance="0", job="api-server"} 2
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{group="production", instance="1", job="api-server"} 2
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eval instant at 50m round(-1 * (1 + 0.005 * http_requests{group="production",job="api-server"}))
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{group="production", instance="0", job="api-server"} -1
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{group="production", instance="1", job="api-server"} -2
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# Round should accept the number to round nearest to.
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eval instant at 50m round(0.0005 * http_requests{group="production",job="api-server"}, 0.1)
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{group="production", instance="0", job="api-server"} 0.1
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{group="production", instance="1", job="api-server"} 0.1
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eval instant at 50m round(2.1 + 0.0005 * http_requests{group="production",job="api-server"}, 0.1)
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{group="production", instance="0", job="api-server"} 2.2
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{group="production", instance="1", job="api-server"} 2.2
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eval instant at 50m round(5.2 + 0.0005 * http_requests{group="production",job="api-server"}, 0.1)
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{group="production", instance="0", job="api-server"} 5.3
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{group="production", instance="1", job="api-server"} 5.3
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# Round should work correctly with negative numbers and multiple decimal places.
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eval instant at 50m round(-1 * (5.2 + 0.0005 * http_requests{group="production",job="api-server"}), 0.1)
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{group="production", instance="0", job="api-server"} -5.2
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{group="production", instance="1", job="api-server"} -5.3
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# Round should work correctly with big toNearests.
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eval instant at 50m round(0.025 * http_requests{group="production",job="api-server"}, 5)
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{group="production", instance="0", job="api-server"} 5
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{group="production", instance="1", job="api-server"} 5
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eval instant at 50m round(0.045 * http_requests{group="production",job="api-server"}, 5)
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{group="production", instance="0", job="api-server"} 5
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{group="production", instance="1", job="api-server"} 10
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eval instant at 50m avg_over_time(http_requests{group="production",job="api-server"}[1h])
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{group="production", instance="0", job="api-server"} 50
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{group="production", instance="1", job="api-server"} 100
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eval instant at 50m count_over_time(http_requests{group="production",job="api-server"}[1h])
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{group="production", instance="0", job="api-server"} 11
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{group="production", instance="1", job="api-server"} 11
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eval instant at 50m max_over_time(http_requests{group="production",job="api-server"}[1h])
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{group="production", instance="0", job="api-server"} 100
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{group="production", instance="1", job="api-server"} 200
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eval instant at 50m min_over_time(http_requests{group="production",job="api-server"}[1h])
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{group="production", instance="0", job="api-server"} 0
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{group="production", instance="1", job="api-server"} 0
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eval instant at 50m sum_over_time(http_requests{group="production",job="api-server"}[1h])
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{group="production", instance="0", job="api-server"} 550
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{group="production", instance="1", job="api-server"} 1100
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eval instant at 50m time()
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3000
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eval instant at 50m drop_common_labels(http_requests{group="production",job="api-server"})
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http_requests{instance="0"} 100
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http_requests{instance="1"} 200
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eval instant at 50m {__name__=~".+"}
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http_requests{group="canary", instance="0", job="api-server"} 300
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http_requests{group="canary", instance="0", job="app-server"} 700
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http_requests{group="canary", instance="1", job="api-server"} 400
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http_requests{group="canary", instance="1", job="app-server"} 800
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http_requests{group="production", instance="0", job="api-server"} 100
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http_requests{group="production", instance="0", job="app-server"} 500
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http_requests{group="production", instance="1", job="api-server"} 200
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http_requests{group="production", instance="1", job="app-server"} 600
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testcounter_reset_end 0
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testcounter_reset_middle 50
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x{y="testvalue"} 100
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label_grouping_test{a="a", b="abb"} 200
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label_grouping_test{a="aa", b="bb"} 100
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vector_matching_a{l="x"} 10
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vector_matching_a{l="y"} 20
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vector_matching_b{l="x"} 40
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cpu_count{instance="1", type="smp"} 200
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cpu_count{instance="0", type="smp"} 100
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cpu_count{instance="0", type="numa"} 300
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eval instant at 50m {job=~"server", job!~"api"}
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http_requests{group="canary", instance="0", job="app-server"} 700
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http_requests{group="canary", instance="1", job="app-server"} 800
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http_requests{group="production", instance="0", job="app-server"} 500
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http_requests{group="production", instance="1", job="app-server"} 600
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# Test alternative "by"-clause order.
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eval instant at 50m sum by (group) (http_requests{job="api-server"})
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{group="canary"} 700
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{group="production"} 300
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# Test alternative "by"-clause order with "keep_common".
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eval instant at 50m sum by (group) keep_common (http_requests{job="api-server"})
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{group="canary", job="api-server"} 700
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{group="production", job="api-server"} 300
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# Test both alternative "by"-clause orders in one expression.
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# Public health warning: stick to one form within an expression (or even
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# in an organization), or risk serious user confusion.
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eval instant at 50m sum(sum by (group) keep_common (http_requests{job="api-server"})) by (job)
|
|
{job="api-server"} 1000
|
|
|
|
eval instant at 50m http_requests{group="canary"} and http_requests{instance="0"}
|
|
http_requests{group="canary", instance="0", job="api-server"} 300
|
|
http_requests{group="canary", instance="0", job="app-server"} 700
|
|
|
|
eval instant at 50m (http_requests{group="canary"} + 1) and http_requests{instance="0"}
|
|
{group="canary", instance="0", job="api-server"} 301
|
|
{group="canary", instance="0", job="app-server"} 701
|
|
|
|
eval instant at 50m (http_requests{group="canary"} + 1) and on(instance, job) http_requests{instance="0", group="production"}
|
|
{group="canary", instance="0", job="api-server"} 301
|
|
{group="canary", instance="0", job="app-server"} 701
|
|
|
|
eval instant at 50m (http_requests{group="canary"} + 1) and on(instance) http_requests{instance="0", group="production"}
|
|
{group="canary", instance="0", job="api-server"} 301
|
|
{group="canary", instance="0", job="app-server"} 701
|
|
|
|
eval instant at 50m http_requests{group="canary"} or http_requests{group="production"}
|
|
http_requests{group="canary", instance="0", job="api-server"} 300
|
|
http_requests{group="canary", instance="0", job="app-server"} 700
|
|
http_requests{group="canary", instance="1", job="api-server"} 400
|
|
http_requests{group="canary", instance="1", job="app-server"} 800
|
|
http_requests{group="production", instance="0", job="api-server"} 100
|
|
http_requests{group="production", instance="0", job="app-server"} 500
|
|
http_requests{group="production", instance="1", job="api-server"} 200
|
|
http_requests{group="production", instance="1", job="app-server"} 600
|
|
|
|
# On overlap the rhs samples must be dropped.
|
|
eval instant at 50m (http_requests{group="canary"} + 1) or http_requests{instance="1"}
|
|
{group="canary", instance="0", job="api-server"} 301
|
|
{group="canary", instance="0", job="app-server"} 701
|
|
{group="canary", instance="1", job="api-server"} 401
|
|
{group="canary", instance="1", job="app-server"} 801
|
|
http_requests{group="production", instance="1", job="api-server"} 200
|
|
http_requests{group="production", instance="1", job="app-server"} 600
|
|
|
|
# Matching only on instance excludes everything that has instance=0/1 but includes
|
|
# entries without the instance label.
|
|
eval instant at 50m (http_requests{group="canary"} + 1) or on(instance) (http_requests or cpu_count or vector_matching_a)
|
|
{group="canary", instance="0", job="api-server"} 301
|
|
{group="canary", instance="0", job="app-server"} 701
|
|
{group="canary", instance="1", job="api-server"} 401
|
|
{group="canary", instance="1", job="app-server"} 801
|
|
vector_matching_a{l="x"} 10
|
|
vector_matching_a{l="y"} 20
|
|
|
|
eval instant at 50m http_requests{group="canary"} / on(instance,job) http_requests{group="production"}
|
|
{instance="0", job="api-server"} 3
|
|
{instance="0", job="app-server"} 1.4
|
|
{instance="1", job="api-server"} 2
|
|
{instance="1", job="app-server"} 1.3333333333333333
|
|
|
|
# Include labels must guarantee uniquely identifiable time series.
|
|
eval_fail instant at 50m http_requests{group="production"} / on(instance) group_left(group) cpu_count{type="smp"}
|
|
|
|
# Many-to-many matching is not allowed.
|
|
eval_fail instant at 50m http_requests{group="production"} / on(instance) group_left(job,type) cpu_count
|
|
|
|
# Many-to-one matching must be explicit.
|
|
eval_fail instant at 50m http_requests{group="production"} / on(instance) cpu_count{type="smp"}
|
|
|
|
eval instant at 50m http_requests{group="production"} / on(instance) group_left(job) cpu_count{type="smp"}
|
|
{instance="1", job="api-server"} 1
|
|
{instance="0", job="app-server"} 5
|
|
{instance="1", job="app-server"} 3
|
|
{instance="0", job="api-server"} 1
|
|
|
|
# Ensure sidedness of grouping preserves operand sides.
|
|
eval instant at 50m cpu_count{type="smp"} / on(instance) group_right(job) http_requests{group="production"}
|
|
{instance="1", job="app-server"} 0.3333333333333333
|
|
{instance="0", job="app-server"} 0.2
|
|
{instance="1", job="api-server"} 1
|
|
{instance="0", job="api-server"} 1
|
|
|
|
# Include labels from both sides.
|
|
eval instant at 50m http_requests{group="production"} / on(instance) group_left(job) cpu_count{type="smp"}
|
|
{instance="1", job="api-server"} 1
|
|
{instance="0", job="app-server"} 5
|
|
{instance="1", job="app-server"} 3
|
|
{instance="0", job="api-server"} 1
|
|
|
|
eval instant at 50m http_requests{group="production"} < on(instance,job) http_requests{group="canary"}
|
|
{instance="1", job="app-server"} 600
|
|
{instance="0", job="app-server"} 500
|
|
{instance="1", job="api-server"} 200
|
|
{instance="0", job="api-server"} 100
|
|
|
|
|
|
eval instant at 50m http_requests{group="production"} > on(instance,job) http_requests{group="canary"}
|
|
# no output
|
|
|
|
eval instant at 50m http_requests{group="production"} == on(instance,job) http_requests{group="canary"}
|
|
# no output
|
|
|
|
eval instant at 50m http_requests > on(instance) group_left(group,job) cpu_count{type="smp"}
|
|
{group="canary", instance="0", job="app-server"} 700
|
|
{group="canary", instance="1", job="app-server"} 800
|
|
{group="canary", instance="0", job="api-server"} 300
|
|
{group="canary", instance="1", job="api-server"} 400
|
|
{group="production", instance="0", job="app-server"} 500
|
|
{group="production", instance="1", job="app-server"} 600
|
|
|
|
eval instant at 50m {l="x"} + on(__name__) {l="y"}
|
|
vector_matching_a 30
|
|
|
|
eval instant at 50m absent(nonexistent)
|
|
{} 1
|
|
|
|
|
|
eval instant at 50m absent(nonexistent{job="testjob", instance="testinstance", method=~".x"})
|
|
{instance="testinstance", job="testjob"} 1
|
|
|
|
eval instant at 50m count_scalar(absent(http_requests))
|
|
0
|
|
|
|
eval instant at 50m count_scalar(absent(sum(http_requests)))
|
|
0
|
|
|
|
eval instant at 50m absent(sum(nonexistent{job="testjob", instance="testinstance"}))
|
|
{} 1
|
|
|
|
eval instant at 50m http_requests{group="production",job="api-server"} offset 5m
|
|
http_requests{group="production", instance="0", job="api-server"} 90
|
|
http_requests{group="production", instance="1", job="api-server"} 180
|
|
|
|
eval instant at 50m rate(http_requests{group="production",job="api-server"}[10m] offset 5m)
|
|
{group="production", instance="0", job="api-server"} 0.03333333333333333
|
|
{group="production", instance="1", job="api-server"} 0.06666666666666667
|
|
|
|
# Regression test for missing separator byte in labelsToGroupingKey.
|
|
eval instant at 50m sum(label_grouping_test) by (a, b)
|
|
{a="a", b="abb"} 200
|
|
{a="aa", b="bb"} 100
|
|
|
|
eval instant at 50m http_requests{group="canary", instance="0", job="api-server"} / 0
|
|
{group="canary", instance="0", job="api-server"} +Inf
|
|
|
|
eval instant at 50m -1 * http_requests{group="canary", instance="0", job="api-server"} / 0
|
|
{group="canary", instance="0", job="api-server"} -Inf
|
|
|
|
eval instant at 50m 0 * http_requests{group="canary", instance="0", job="api-server"} / 0
|
|
{group="canary", instance="0", job="api-server"} NaN
|
|
|
|
eval instant at 50m 0 * http_requests{group="canary", instance="0", job="api-server"} % 0
|
|
{group="canary", instance="0", job="api-server"} NaN
|
|
|
|
eval instant at 50m exp(vector_matching_a)
|
|
{l="x"} 22026.465794806718
|
|
{l="y"} 485165195.4097903
|
|
|
|
eval instant at 50m exp(vector_matching_a - 10)
|
|
{l="y"} 22026.465794806718
|
|
{l="x"} 1
|
|
|
|
eval instant at 50m exp(vector_matching_a - 20)
|
|
{l="x"} 4.5399929762484854e-05
|
|
{l="y"} 1
|
|
|
|
eval instant at 50m ln(vector_matching_a)
|
|
{l="x"} 2.302585092994046
|
|
{l="y"} 2.995732273553991
|
|
|
|
eval instant at 50m ln(vector_matching_a - 10)
|
|
{l="y"} 2.302585092994046
|
|
{l="x"} -Inf
|
|
|
|
eval instant at 50m ln(vector_matching_a - 20)
|
|
{l="y"} -Inf
|
|
{l="x"} NaN
|
|
|
|
eval instant at 50m exp(ln(vector_matching_a))
|
|
{l="y"} 20
|
|
{l="x"} 10
|
|
|
|
eval instant at 50m sqrt(vector_matching_a)
|
|
{l="x"} 3.1622776601683795
|
|
{l="y"} 4.47213595499958
|
|
|
|
eval instant at 50m log2(vector_matching_a)
|
|
{l="x"} 3.3219280948873626
|
|
{l="y"} 4.321928094887363
|
|
|
|
eval instant at 50m log2(vector_matching_a - 10)
|
|
{l="y"} 3.3219280948873626
|
|
{l="x"} -Inf
|
|
|
|
eval instant at 50m log2(vector_matching_a - 20)
|
|
{l="x"} NaN
|
|
{l="y"} -Inf
|
|
|
|
eval instant at 50m log10(vector_matching_a)
|
|
{l="x"} 1
|
|
{l="y"} 1.301029995663981
|
|
|
|
eval instant at 50m log10(vector_matching_a - 10)
|
|
{l="y"} 1
|
|
{l="x"} -Inf
|
|
|
|
eval instant at 50m log10(vector_matching_a - 20)
|
|
{l="x"} NaN
|
|
{l="y"} -Inf
|
|
|
|
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
|
|
|
|
|
|
# Matrix tests.
|
|
|
|
clear
|
|
load 1h
|
|
testmetric{testlabel="1"} 1 1
|
|
testmetric{testlabel="2"} _ 2
|
|
|
|
eval instant at 0h drop_common_labels(testmetric)
|
|
testmetric 1
|
|
|
|
eval instant at 1h drop_common_labels(testmetric)
|
|
testmetric{testlabel="1"} 1
|
|
testmetric{testlabel="2"} 2
|
|
|
|
clear
|
|
load 1h
|
|
testmetric{testlabel="1"} 1 1
|
|
testmetric{testlabel="2"} 2 _
|
|
|
|
eval instant at 0h sum(testmetric) keep_common
|
|
{} 3
|
|
|
|
eval instant at 1h sum(testmetric) keep_common
|
|
{testlabel="1"} 1
|
|
|
|
clear
|
|
load 1h
|
|
testmetric{aa="bb"} 1
|
|
testmetric{a="abb"} 2
|
|
|
|
eval instant at 0h testmetric
|
|
testmetric{aa="bb"} 1
|
|
testmetric{a="abb"} 2
|