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This calculates how much a counter increases over a given period of time, which is the area under the curve of it's rate. increase(x[5m]) is equivilent to rate(x[5m]) * 300.
65 lines
1.3 KiB
Plaintext
65 lines
1.3 KiB
Plaintext
# Testdata for resets() and changes().
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load 5m
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http_requests{path="/foo"} 1 2 3 0 1 0 0 1 2 0
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http_requests{path="/bar"} 1 2 3 4 5 1 2 3 4 5
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http_requests{path="/biz"} 0 0 0 0 0 1 1 1 1 1
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# Tests for resets().
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eval instant at 50m resets(http_requests[5m])
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{path="/foo"} 0
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{path="/bar"} 0
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{path="/biz"} 0
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eval instant at 50m resets(http_requests[20m])
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{path="/foo"} 1
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{path="/bar"} 0
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{path="/biz"} 0
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eval instant at 50m resets(http_requests[30m])
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{path="/foo"} 2
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{path="/bar"} 1
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{path="/biz"} 0
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eval instant at 50m resets(http_requests[50m])
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{path="/foo"} 3
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{path="/bar"} 1
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{path="/biz"} 0
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eval instant at 50m resets(nonexistent_metric[50m])
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# Tests for changes().
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eval instant at 50m changes(http_requests[5m])
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{path="/foo"} 0
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{path="/bar"} 0
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{path="/biz"} 0
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eval instant at 50m changes(http_requests[20m])
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{path="/foo"} 3
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{path="/bar"} 3
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{path="/biz"} 0
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eval instant at 50m changes(http_requests[30m])
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{path="/foo"} 4
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{path="/bar"} 5
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{path="/biz"} 1
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eval instant at 50m changes(http_requests[50m])
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{path="/foo"} 8
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{path="/bar"} 9
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{path="/biz"} 1
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eval instant at 50m changes(nonexistent_metric[50m])
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clear
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# Tests for increase().
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load 5m
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http_requests{path="/foo"} 0+10x10
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http_requests{path="/bar"} 0+10x5 0+10x5
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# Tests for increase().
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eval instant at 50m increase(http_requests[50m])
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{path="/foo"} 100
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{path="/bar"} 90
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