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515 lines
18 KiB
515 lines
18 KiB
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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|
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load 5m |
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foo{job="api-server", instance="0", region="europe"} 0+90x10 |
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foo{job="api-server"} 0+100x10 |
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|
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# Simple sum. |
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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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|
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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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|
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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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|
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# Simple average. |
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eval instant at 50m avg by (group) (http_requests{job="api-server"}) |
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{group="canary"} 350 |
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{group="production"} 150 |
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|
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# Simple count. |
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eval instant at 50m count by (group) (http_requests{job="api-server"}) |
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{group="canary"} 2 |
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{group="production"} 2 |
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|
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# Simple without. |
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eval instant at 50m sum without (instance) (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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# Empty by. |
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eval instant at 50m sum by () (http_requests{job="api-server"}) |
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{} 1000 |
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# No by/without. |
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eval instant at 50m sum(http_requests{job="api-server"}) |
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{} 1000 |
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# Empty without. |
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eval instant at 50m sum without () (http_requests{job="api-server",group="production"}) |
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{group="production",job="api-server",instance="0"} 100 |
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{group="production",job="api-server",instance="1"} 200 |
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|
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# Without with mismatched and missing labels. Do not do this. |
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eval instant at 50m sum without (instance) (http_requests{job="api-server"} or foo) |
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{group="canary",job="api-server"} 700 |
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{group="production",job="api-server"} 300 |
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{region="europe",job="api-server"} 900 |
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{job="api-server"} 1000 |
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|
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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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|
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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 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) (http_requests{job="api-server"})) by (job) |
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{} 1000 |
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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) 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 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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# Standard deviation and variance. |
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eval instant at 50m stddev(http_requests) |
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{} 229.12878474779 |
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eval instant at 50m stddev by (instance)(http_requests) |
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{instance="0"} 223.60679774998 |
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{instance="1"} 223.60679774998 |
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eval instant at 50m stdvar(http_requests) |
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{} 52500 |
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eval instant at 50m stdvar by (instance)(http_requests) |
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{instance="0"} 50000 |
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{instance="1"} 50000 |
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# Float precision test for standard deviation and variance |
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clear |
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load 5m |
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http_requests{job="api-server", instance="0", group="production"} 0+1.33x10 |
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http_requests{job="api-server", instance="1", group="production"} 0+1.33x10 |
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http_requests{job="api-server", instance="0", group="canary"} 0+1.33x10 |
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eval instant at 50m stddev(http_requests) |
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{} 0.0 |
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eval instant at 50m stdvar(http_requests) |
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{} 0.0 |
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# Regression test for missing separator byte in labelsToGroupingKey. |
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clear |
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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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eval instant at 50m sum(label_grouping_test) by (a, b) |
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{a="a", b="abb"} 200 |
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{a="aa", b="bb"} 100 |
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# Tests for min/max. |
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clear |
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load 5m |
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http_requests{job="api-server", instance="0", group="production"} 1 |
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http_requests{job="api-server", instance="1", group="production"} 2 |
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http_requests{job="api-server", instance="0", group="canary"} NaN |
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http_requests{job="api-server", instance="1", group="canary"} 3 |
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http_requests{job="api-server", instance="2", group="canary"} 4 |
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eval instant at 0m max(http_requests) |
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{} 4 |
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eval instant at 0m min(http_requests) |
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{} 1 |
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eval instant at 0m max by (group) (http_requests) |
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{group="production"} 2 |
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{group="canary"} 4 |
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eval instant at 0m min by (group) (http_requests) |
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{group="production"} 1 |
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{group="canary"} 3 |
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clear |
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# Tests for topk/bottomk. |
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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="2", group="production"} NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN |
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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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foo 3+0x10 |
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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((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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eval instant at 50m topk by (group) (1, http_requests) |
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http_requests{group="production", instance="1", job="app-server"} 600 |
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http_requests{group="canary", instance="1", job="app-server"} 800 |
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eval instant at 50m bottomk by (group) (2, http_requests) |
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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="api-server"} 100 |
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http_requests{group="production", instance="1", job="api-server"} 200 |
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eval_ordered instant at 50m bottomk by (group) (2, http_requests{group="production"}) |
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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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# Test NaN is sorted away from the top/bottom. |
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eval_ordered instant at 50m topk(3, http_requests{job="api-server",group="production"}) |
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http_requests{job="api-server", instance="1", group="production"} 200 |
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http_requests{job="api-server", instance="0", group="production"} 100 |
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http_requests{job="api-server", instance="2", group="production"} NaN |
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eval_ordered instant at 50m bottomk(3, http_requests{job="api-server",group="production"}) |
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http_requests{job="api-server", instance="0", group="production"} 100 |
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http_requests{job="api-server", instance="1", group="production"} 200 |
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http_requests{job="api-server", instance="2", group="production"} NaN |
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# Test topk and bottomk allocate min(k, input_vector) for results vector |
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eval_ordered instant at 50m bottomk(9999999999, http_requests{job="app-server",group="canary"}) |
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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 topk(9999999999, http_requests{job="api-server",group="production"}) |
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http_requests{job="api-server", instance="1", group="production"} 200 |
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http_requests{job="api-server", instance="0", group="production"} 100 |
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http_requests{job="api-server", instance="2", group="production"} NaN |
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# Bug #5276. |
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eval_ordered instant at 50m topk(scalar(foo), 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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clear |
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# Tests for count_values. |
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load 5m |
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version{job="api-server", instance="0", group="production"} 6 |
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version{job="api-server", instance="1", group="production"} 6 |
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version{job="api-server", instance="2", group="production"} 6 |
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version{job="api-server", instance="0", group="canary"} 8 |
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version{job="api-server", instance="1", group="canary"} 8 |
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version{job="app-server", instance="0", group="production"} 6 |
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version{job="app-server", instance="1", group="production"} 6 |
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version{job="app-server", instance="0", group="canary"} 7 |
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version{job="app-server", instance="1", group="canary"} 7 |
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eval instant at 5m count_values("version", version) |
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{version="6"} 5 |
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{version="7"} 2 |
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{version="8"} 2 |
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eval instant at 5m count_values(((("version"))), version) |
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{version="6"} 5 |
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{version="7"} 2 |
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{version="8"} 2 |
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eval instant at 5m count_values without (instance)("version", version) |
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{job="api-server", group="production", version="6"} 3 |
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{job="api-server", group="canary", version="8"} 2 |
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{job="app-server", group="production", version="6"} 2 |
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{job="app-server", group="canary", version="7"} 2 |
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# Overwrite label with output. Don't do this. |
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eval instant at 5m count_values without (instance)("job", version) |
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{job="6", group="production"} 5 |
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{job="8", group="canary"} 2 |
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{job="7", group="canary"} 2 |
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# Overwrite label with output. Don't do this. |
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eval instant at 5m count_values by (job, group)("job", version) |
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{job="6", group="production"} 5 |
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{job="8", group="canary"} 2 |
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{job="7", group="canary"} 2 |
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# Tests for quantile. |
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clear |
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load 10s |
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data{test="two samples",point="a"} 0 |
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data{test="two samples",point="b"} 1 |
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data{test="three samples",point="a"} 0 |
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data{test="three samples",point="b"} 1 |
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data{test="three samples",point="c"} 2 |
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data{test="uneven samples",point="a"} 0 |
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data{test="uneven samples",point="b"} 1 |
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data{test="uneven samples",point="c"} 4 |
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foo .8 |
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eval instant at 1m quantile without(point)(0.8, data) |
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{test="two samples"} 0.8 |
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{test="three samples"} 1.6 |
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{test="uneven samples"} 2.8 |
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# Bug #5276. |
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eval instant at 1m quantile without(point)(scalar(foo), data) |
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{test="two samples"} 0.8 |
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{test="three samples"} 1.6 |
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{test="uneven samples"} 2.8 |
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eval instant at 1m quantile without(point)((scalar(foo)), data) |
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{test="two samples"} 0.8 |
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{test="three samples"} 1.6 |
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{test="uneven samples"} 2.8 |
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eval instant at 1m quantile without(point)(NaN, data) |
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{test="two samples"} NaN |
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{test="three samples"} NaN |
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{test="uneven samples"} NaN |
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# Tests for group. |
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clear |
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load 10s |
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data{test="two samples",point="a"} 0 |
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data{test="two samples",point="b"} 1 |
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data{test="three samples",point="a"} 0 |
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data{test="three samples",point="b"} 1 |
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data{test="three samples",point="c"} 2 |
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data{test="uneven samples",point="a"} 0 |
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data{test="uneven samples",point="b"} 1 |
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data{test="uneven samples",point="c"} 4 |
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foo .8 |
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eval instant at 1m group without(point)(data) |
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{test="two samples"} 1 |
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{test="three samples"} 1 |
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{test="uneven samples"} 1 |
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eval instant at 1m group(foo) |
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{} 1 |
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# Tests for avg. |
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clear |
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load 10s |
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data{test="ten",point="a"} 8 |
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data{test="ten",point="b"} 10 |
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data{test="ten",point="c"} 12 |
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data{test="inf",point="a"} 0 |
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data{test="inf",point="b"} Inf |
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data{test="inf",point="d"} Inf |
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data{test="inf",point="c"} 0 |
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data{test="-inf",point="a"} -Inf |
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data{test="-inf",point="b"} -Inf |
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data{test="-inf",point="c"} 0 |
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data{test="inf2",point="a"} Inf |
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data{test="inf2",point="b"} 0 |
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data{test="inf2",point="c"} Inf |
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data{test="-inf2",point="a"} -Inf |
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data{test="-inf2",point="b"} 0 |
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data{test="-inf2",point="c"} -Inf |
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data{test="inf3",point="b"} Inf |
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data{test="inf3",point="d"} Inf |
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data{test="inf3",point="c"} Inf |
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data{test="inf3",point="d"} -Inf |
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data{test="-inf3",point="b"} -Inf |
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data{test="-inf3",point="d"} -Inf |
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data{test="-inf3",point="c"} -Inf |
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data{test="-inf3",point="c"} Inf |
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data{test="nan",point="a"} -Inf |
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data{test="nan",point="b"} 0 |
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data{test="nan",point="c"} Inf |
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data{test="big",point="a"} 9.988465674311579e+307 |
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data{test="big",point="b"} 9.988465674311579e+307 |
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data{test="big",point="c"} 9.988465674311579e+307 |
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data{test="big",point="d"} 9.988465674311579e+307 |
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data{test="-big",point="a"} -9.988465674311579e+307 |
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data{test="-big",point="b"} -9.988465674311579e+307 |
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data{test="-big",point="c"} -9.988465674311579e+307 |
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data{test="-big",point="d"} -9.988465674311579e+307 |
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data{test="bigzero",point="a"} -9.988465674311579e+307 |
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data{test="bigzero",point="b"} -9.988465674311579e+307 |
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data{test="bigzero",point="c"} 9.988465674311579e+307 |
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data{test="bigzero",point="d"} 9.988465674311579e+307 |
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|
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eval instant at 1m avg(data{test="ten"}) |
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{} 10 |
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|
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eval instant at 1m avg(data{test="inf"}) |
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{} Inf |
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|
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eval instant at 1m avg(data{test="inf2"}) |
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{} Inf |
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|
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eval instant at 1m avg(data{test="inf3"}) |
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{} NaN |
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|
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eval instant at 1m avg(data{test="-inf"}) |
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{} -Inf |
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|
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eval instant at 1m avg(data{test="-inf2"}) |
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{} -Inf |
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|
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eval instant at 1m avg(data{test="-inf3"}) |
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{} NaN |
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|
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eval instant at 1m avg(data{test="nan"}) |
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{} NaN |
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|
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eval instant at 1m avg(data{test="big"}) |
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{} 9.988465674311579e+307 |
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|
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eval instant at 1m avg(data{test="-big"}) |
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{} -9.988465674311579e+307 |
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|
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eval instant at 1m avg(data{test="bigzero"}) |
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{} 0 |
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|
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clear |
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|
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# Test that aggregations are deterministic. |
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# Commented because it is flaky in range mode. |
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#load 10s |
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# up{job="prometheus"} 1 |
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# up{job="prometheus2"} 1 |
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# |
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#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())) |
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# {} 1
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