metadata

Documentation

Index

• Constants
• Variables

Constants

const Type configmodels.Type = "hostmetricsreceiver"

Type is the component type name.

Variables

var L = Labels

L contains the possible metric labels that can be used. L is an alias for Labels.

var LabelCPUState = struct {
	Idle      string
	Interrupt string
	Nice      string
	Softirq   string
	Steal     string
	System    string
	User      string
	Wait      string
}{
	"idle",
	"interrupt",
	"nice",
	"softirq",
	"steal",
	"system",
	"user",
	"wait",
}

LabelCPUState are the possible values that the label "cpu.state" can have.

var LabelMemState = struct {
	Buffered          string
	Cached            string
	Inactive          string
	Free              string
	SlabReclaimable   string
	SlabUnreclaimable string
	Used              string
}{
	"buffered",
	"cached",
	"inactive",
	"free",
	"slab_reclaimable",
	"slab_unreclaimable",
	"used",
}

LabelMemState are the possible values that the label "mem.state" can have.

var Labels = struct {
	// Cpu (CPU number starting at 0.)
	Cpu string
	// CPUState (Breakdown of CPU usage by type.)
	CPUState string
	// MemState (Breakdown of memory usage by type.)
	MemState string
}{
	"cpu",
	"state",
	"state",
}

Labels contains the possible metric labels that can be used.

var M = Metrics

M contains a set of methods for each metric that help with manipulating those metrics. M is an alias for Metrics

var Metrics = &metricStruct{
	&metricImpl{
		"system.cpu.time",
		func() pdata.Metric {
			metric := pdata.NewMetric()
			metric.SetName("system.cpu.time")
			metric.SetDescription("Total CPU seconds broken down by different states.")
			metric.SetUnit("s")
			metric.SetDataType(pdata.MetricDataTypeDoubleSum)
			metric.DoubleSum().SetIsMonotonic(true)
			metric.DoubleSum().SetAggregationTemporality(pdata.AggregationTemporalityCumulative)

			return metric
		},
	},
	&metricImpl{
		"system.memory.usage",
		func() pdata.Metric {
			metric := pdata.NewMetric()
			metric.SetName("system.memory.usage")
			metric.SetDescription("Bytes of memory in use.")
			metric.SetUnit("By")
			metric.SetDataType(pdata.MetricDataTypeIntSum)
			metric.IntSum().SetIsMonotonic(false)
			metric.IntSum().SetAggregationTemporality(pdata.AggregationTemporalityCumulative)

			return metric
		},
	},
}

Metrics contains a set of methods for each metric that help with manipulating those metrics.