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07f1bdfe94
Previously, a floating point number that would round down to 0 would cause a "division by zero" panic.
363 lines
14 KiB
Plaintext
363 lines
14 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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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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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) % 0.3
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{job="api-server"} NaN
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{job="app-server"} NaN
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eval instant at 50m SUM(http_requests) BY (job) ^ 2
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{job="api-server"} 1000000
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{job="app-server"} 6760000
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eval instant at 50m SUM(http_requests) BY (job) % 3 ^ 2
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{job="api-server"} 1
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{job="app-server"} 8
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eval instant at 50m SUM(http_requests) BY (job) % 2 ^ (3 ^ 2)
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{job="api-server"} 488
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{job="app-server"} 40
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eval instant at 50m SUM(http_requests) BY (job) % 2 ^ 3 ^ 2
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{job="api-server"} 488
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{job="app-server"} 40
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eval instant at 50m SUM(http_requests) BY (job) % 2 ^ 3 ^ 2 ^ 2
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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) ^ COUNT(http_requests) BY (job)
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{job="api-server"} 256
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{job="app-server"} 256
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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) + 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 http_requests{group="canary"} and http_requests{instance="0"}
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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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eval instant at 50m (http_requests{group="canary"} + 1) and http_requests{instance="0"}
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{group="canary", instance="0", job="api-server"} 301
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{group="canary", instance="0", job="app-server"} 701
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eval instant at 50m (http_requests{group="canary"} + 1) and on(instance, job) http_requests{instance="0", group="production"}
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{group="canary", instance="0", job="api-server"} 301
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{group="canary", instance="0", job="app-server"} 701
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eval instant at 50m (http_requests{group="canary"} + 1) and on(instance) http_requests{instance="0", group="production"}
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{group="canary", instance="0", job="api-server"} 301
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{group="canary", instance="0", job="app-server"} 701
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eval instant at 50m (http_requests{group="canary"} + 1) and ignoring(group) http_requests{instance="0", group="production"}
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{group="canary", instance="0", job="api-server"} 301
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{group="canary", instance="0", job="app-server"} 701
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eval instant at 50m (http_requests{group="canary"} + 1) and ignoring(group, job) http_requests{instance="0", group="production"}
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{group="canary", instance="0", job="api-server"} 301
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{group="canary", instance="0", job="app-server"} 701
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eval instant at 50m http_requests{group="canary"} or http_requests{group="production"}
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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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# On overlap the rhs samples must be dropped.
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eval instant at 50m (http_requests{group="canary"} + 1) or http_requests{instance="1"}
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{group="canary", instance="0", job="api-server"} 301
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{group="canary", instance="0", job="app-server"} 701
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{group="canary", instance="1", job="api-server"} 401
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{group="canary", instance="1", job="app-server"} 801
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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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# Matching only on instance excludes everything that has instance=0/1 but includes
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# entries without the instance label.
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eval instant at 50m (http_requests{group="canary"} + 1) or on(instance) (http_requests or cpu_count or vector_matching_a)
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{group="canary", instance="0", job="api-server"} 301
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{group="canary", instance="0", job="app-server"} 701
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{group="canary", instance="1", job="api-server"} 401
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{group="canary", instance="1", job="app-server"} 801
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vector_matching_a{l="x"} 10
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vector_matching_a{l="y"} 20
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eval instant at 50m (http_requests{group="canary"} + 1) or ignoring(l, group, job) (http_requests or cpu_count or vector_matching_a)
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{group="canary", instance="0", job="api-server"} 301
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{group="canary", instance="0", job="app-server"} 701
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{group="canary", instance="1", job="api-server"} 401
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{group="canary", instance="1", job="app-server"} 801
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vector_matching_a{l="x"} 10
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vector_matching_a{l="y"} 20
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eval instant at 50m http_requests{group="canary"} unless http_requests{instance="0"}
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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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eval instant at 50m http_requests{group="canary"} unless on(job) http_requests{instance="0"}
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eval instant at 50m http_requests{group="canary"} unless on(job, instance) http_requests{instance="0"}
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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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eval instant at 50m http_requests{group="canary"} / on(instance,job) http_requests{group="production"}
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{instance="0", job="api-server"} 3
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{instance="0", job="app-server"} 1.4
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{instance="1", job="api-server"} 2
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{instance="1", job="app-server"} 1.3333333333333333
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eval instant at 50m http_requests{group="canary"} unless ignoring(group, instance) http_requests{instance="0"}
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eval instant at 50m http_requests{group="canary"} unless ignoring(group) http_requests{instance="0"}
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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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eval instant at 50m http_requests{group="canary"} / ignoring(group) http_requests{group="production"}
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{instance="0", job="api-server"} 3
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{instance="0", job="app-server"} 1.4
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{instance="1", job="api-server"} 2
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{instance="1", job="app-server"} 1.3333333333333333
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# https://github.com/prometheus/prometheus/issues/1489
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eval instant at 50m http_requests AND ON (dummy) vector(1)
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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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eval instant at 50m http_requests AND IGNORING (group, instance, job) vector(1)
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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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# Comparisons.
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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) == bool 1000
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{job="api-server"} 1
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{job="app-server"} 0
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eval instant at 50m SUM(http_requests) BY (job) == bool SUM(http_requests) BY (job)
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{job="api-server"} 1
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{job="app-server"} 1
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eval instant at 50m SUM(http_requests) BY (job) != bool SUM(http_requests) BY (job)
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{job="api-server"} 0
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{job="app-server"} 0
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eval instant at 50m 0 == bool 1
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0
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eval instant at 50m 1 == bool 1
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1
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# group_left/group_right.
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clear
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load 5m
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node_var{instance="abc",job="node"} 2
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node_role{instance="abc",job="node",role="prometheus"} 1
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load 5m
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node_cpu{instance="abc",job="node",mode="idle"} 3
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node_cpu{instance="abc",job="node",mode="user"} 1
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node_cpu{instance="def",job="node",mode="idle"} 8
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node_cpu{instance="def",job="node",mode="user"} 2
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load 5m
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random{foo="bar"} 1
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load 5m
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threshold{instance="abc",job="node",target="a@b.com"} 0
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# Copy machine role to node variable.
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eval instant at 5m node_role * on (instance) group_right (role) node_var
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{instance="abc",job="node",role="prometheus"} 2
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eval instant at 5m node_var * on (instance) group_left (role) node_role
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{instance="abc",job="node",role="prometheus"} 2
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eval instant at 5m node_var * ignoring (role) group_left (role) node_role
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{instance="abc",job="node",role="prometheus"} 2
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eval instant at 5m node_role * ignoring (role) group_right (role) node_var
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{instance="abc",job="node",role="prometheus"} 2
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# Copy machine role to node variable with instrumentation labels.
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eval instant at 5m node_cpu * ignoring (role, mode) group_left (role) node_role
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{instance="abc",job="node",mode="idle",role="prometheus"} 3
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{instance="abc",job="node",mode="user",role="prometheus"} 1
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eval instant at 5m node_cpu * on (instance) group_left (role) node_role
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{instance="abc",job="node",mode="idle",role="prometheus"} 3
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{instance="abc",job="node",mode="user",role="prometheus"} 1
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# Ratio of total.
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eval instant at 5m node_cpu / on (instance) group_left sum by (instance,job)(node_cpu)
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{instance="abc",job="node",mode="idle"} .75
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{instance="abc",job="node",mode="user"} .25
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{instance="def",job="node",mode="idle"} .80
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{instance="def",job="node",mode="user"} .20
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eval instant at 5m sum by (mode, job)(node_cpu) / on (job) group_left sum by (job)(node_cpu)
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{job="node",mode="idle"} 0.7857142857142857
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{job="node",mode="user"} 0.21428571428571427
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eval instant at 5m sum(sum by (mode, job)(node_cpu) / on (job) group_left sum by (job)(node_cpu))
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{} 1.0
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eval instant at 5m node_cpu / ignoring (mode) group_left sum without (mode)(node_cpu)
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{instance="abc",job="node",mode="idle"} .75
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{instance="abc",job="node",mode="user"} .25
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{instance="def",job="node",mode="idle"} .80
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{instance="def",job="node",mode="user"} .20
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eval instant at 5m node_cpu / ignoring (mode) group_left(dummy) sum without (mode)(node_cpu)
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{instance="abc",job="node",mode="idle"} .75
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{instance="abc",job="node",mode="user"} .25
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{instance="def",job="node",mode="idle"} .80
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{instance="def",job="node",mode="user"} .20
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eval instant at 5m sum without (instance)(node_cpu) / ignoring (mode) group_left sum without (instance, mode)(node_cpu)
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{job="node",mode="idle"} 0.7857142857142857
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{job="node",mode="user"} 0.21428571428571427
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eval instant at 5m sum(sum without (instance)(node_cpu) / ignoring (mode) group_left sum without (instance, mode)(node_cpu))
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{} 1.0
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# Copy over label from metric with no matching labels, without having to list cross-job target labels ('job' here).
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eval instant at 5m node_cpu + on(dummy) group_left(foo) random*0
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{instance="abc",job="node",mode="idle",foo="bar"} 3
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{instance="abc",job="node",mode="user",foo="bar"} 1
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{instance="def",job="node",mode="idle",foo="bar"} 8
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{instance="def",job="node",mode="user",foo="bar"} 2
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# Use threshold from metric, and copy over target.
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eval instant at 5m node_cpu > on(job, instance) group_left(target) threshold
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node_cpu{instance="abc",job="node",mode="idle",target="a@b.com"} 3
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node_cpu{instance="abc",job="node",mode="user",target="a@b.com"} 1
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# Use threshold from metric, and a default (1) if it's not present.
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eval instant at 5m node_cpu > on(job, instance) group_left(target) (threshold or on (job, instance) (sum by (job, instance)(node_cpu) * 0 + 1))
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node_cpu{instance="abc",job="node",mode="idle",target="a@b.com"} 3
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node_cpu{instance="abc",job="node",mode="user",target="a@b.com"} 1
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node_cpu{instance="def",job="node",mode="idle"} 8
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node_cpu{instance="def",job="node",mode="user"} 2
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clear
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load 5m
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random{foo="bar"} 2
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metricA{baz="meh"} 3
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metricB{baz="meh"} 4
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# On with no labels, for metrics with no common labels.
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eval instant at 5m random + on() metricA
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{} 5
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# Ignoring with no labels is the same as no ignoring.
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eval instant at 5m metricA + ignoring() metricB
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{baz="meh"} 7
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eval instant at 5m metricA + metricB
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{baz="meh"} 7
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clear
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load 5m
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finite{foo="bar"} 42
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almost_zero{foo="bar"} 0.123
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# MOD by "almost zero" with vector.
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eval instant at 5m finite % almost_zero
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{foo="bar"} NaN |