forked from cerc-io/plugeth
7dc100714d
This PR adds counter metrics for the CPU system and the Geth process. Currently the only metrics available for these items are gauges. Gauges are fine when the consumer scrapes metrics data at the same interval as Geth produces new values (every 3 seconds), but it is likely that most consumers will not scrape that often. Intervals of 10, 15, or maybe even 30 seconds are probably more common. So the problem is, how does the consumer estimate what the CPU was doing in between scrapes. With a counter, it's easy ... you just subtract two successive values and divide by the time to get a nice, accurate average. But with a gauge, you can't do that. A gauge reading is an instantaneous picture of what was happening at that moment, but it gives you no idea about what was going on between scrapes. Taking an average of values is meaningless.
118 lines
3.0 KiB
Go
118 lines
3.0 KiB
Go
package prometheus
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import (
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"os"
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"testing"
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"time"
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"github.com/ethereum/go-ethereum/metrics"
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)
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func TestMain(m *testing.M) {
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metrics.Enabled = true
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os.Exit(m.Run())
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}
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func TestCollector(t *testing.T) {
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c := newCollector()
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counter := metrics.NewCounter()
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counter.Inc(12345)
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c.addCounter("test/counter", counter)
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counterfloat64 := metrics.NewCounterFloat64()
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counterfloat64.Inc(54321.98)
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c.addCounterFloat64("test/counter_float64", counterfloat64)
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gauge := metrics.NewGauge()
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gauge.Update(23456)
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c.addGauge("test/gauge", gauge)
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gaugeFloat64 := metrics.NewGaugeFloat64()
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gaugeFloat64.Update(34567.89)
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c.addGaugeFloat64("test/gauge_float64", gaugeFloat64)
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histogram := metrics.NewHistogram(&metrics.NilSample{})
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c.addHistogram("test/histogram", histogram)
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meter := metrics.NewMeter()
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defer meter.Stop()
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meter.Mark(9999999)
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c.addMeter("test/meter", meter)
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timer := metrics.NewTimer()
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defer timer.Stop()
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timer.Update(20 * time.Millisecond)
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timer.Update(21 * time.Millisecond)
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timer.Update(22 * time.Millisecond)
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timer.Update(120 * time.Millisecond)
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timer.Update(23 * time.Millisecond)
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timer.Update(24 * time.Millisecond)
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c.addTimer("test/timer", timer)
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resettingTimer := metrics.NewResettingTimer()
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resettingTimer.Update(10 * time.Millisecond)
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resettingTimer.Update(11 * time.Millisecond)
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resettingTimer.Update(12 * time.Millisecond)
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resettingTimer.Update(120 * time.Millisecond)
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resettingTimer.Update(13 * time.Millisecond)
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resettingTimer.Update(14 * time.Millisecond)
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c.addResettingTimer("test/resetting_timer", resettingTimer.Snapshot())
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emptyResettingTimer := metrics.NewResettingTimer().Snapshot()
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c.addResettingTimer("test/empty_resetting_timer", emptyResettingTimer)
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const expectedOutput = `# TYPE test_counter gauge
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test_counter 12345
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# TYPE test_counter_float64 gauge
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test_counter_float64 54321.98
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# TYPE test_gauge gauge
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test_gauge 23456
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# TYPE test_gauge_float64 gauge
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test_gauge_float64 34567.89
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# TYPE test_histogram_count counter
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test_histogram_count 0
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# TYPE test_histogram summary
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test_histogram {quantile="0.5"} 0
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test_histogram {quantile="0.75"} 0
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test_histogram {quantile="0.95"} 0
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test_histogram {quantile="0.99"} 0
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test_histogram {quantile="0.999"} 0
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test_histogram {quantile="0.9999"} 0
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# TYPE test_meter gauge
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test_meter 9999999
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# TYPE test_timer_count counter
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test_timer_count 6
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# TYPE test_timer summary
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test_timer {quantile="0.5"} 2.25e+07
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test_timer {quantile="0.75"} 4.8e+07
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test_timer {quantile="0.95"} 1.2e+08
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test_timer {quantile="0.99"} 1.2e+08
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test_timer {quantile="0.999"} 1.2e+08
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test_timer {quantile="0.9999"} 1.2e+08
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# TYPE test_resetting_timer_count counter
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test_resetting_timer_count 6
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# TYPE test_resetting_timer summary
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test_resetting_timer {quantile="0.50"} 12000000
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test_resetting_timer {quantile="0.95"} 120000000
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test_resetting_timer {quantile="0.99"} 120000000
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`
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exp := c.buff.String()
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if exp != expectedOutput {
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t.Log("Expected Output:\n", expectedOutput)
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t.Log("Actual Output:\n", exp)
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t.Fatal("unexpected collector output")
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}
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}
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