mirror of
https://github.com/minio/minio.git
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6d20ec3bea
Add a new endpoint for "resource" metrics `/v2/metrics/resource` This should return system metrics related to drives, network, CPU and memory. Except for drives, other metrics should have corresponding "avg" and "max" values also. Reuse the real-time feature to capture the required data, introducing CPU and memory metrics in it. Collect the data every minute and keep updating the average and max values accordingly, returning the latest values when the API is called.
454 lines
15 KiB
Go
454 lines
15 KiB
Go
// Copyright (c) 2015-2023 MinIO, Inc.
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//
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// This file is part of MinIO Object Storage stack
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//
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// This program is free software: you can redistribute it and/or modify
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// it under the terms of the GNU Affero General Public License as published by
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// the Free Software Foundation, either version 3 of the License, or
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// (at your option) any later version.
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//
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// This program is distributed in the hope that it will be useful
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// but WITHOUT ANY WARRANTY; without even the implied warranty of
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// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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// GNU Affero General Public License for more details.
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//
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// You should have received a copy of the GNU Affero General Public License
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// along with this program. If not, see <http://www.gnu.org/licenses/>.
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package cmd
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import (
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"context"
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"fmt"
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"math"
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"net/http"
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"sync"
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"time"
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"github.com/minio/madmin-go/v3"
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"github.com/prometheus/client_golang/prometheus"
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"github.com/shirou/gopsutil/v3/host"
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)
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const (
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resourceMetricsCollectionInterval = time.Minute
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resourceMetricsCacheInterval = time.Minute
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// drive stats
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totalInodes MetricName = "total_inodes"
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readsPerSec MetricName = "reads_per_sec"
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writesPerSec MetricName = "writes_per_sec"
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readsKBPerSec MetricName = "reads_kb_per_sec"
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writesKBPerSec MetricName = "writes_kb_per_sec"
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readsAwait MetricName = "reads_await"
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writesAwait MetricName = "writes_await"
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percUtil MetricName = "perc_util"
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usedInodes MetricName = "used_inodes"
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// network stats
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interfaceRxBytes MetricName = "rx_bytes"
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interfaceRxErrors MetricName = "rx_errors"
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interfaceTxBytes MetricName = "tx_bytes"
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interfaceTxErrors MetricName = "tx_errors"
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// memory stats
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memUsed MetricName = "used"
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memFree MetricName = "free"
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memShared MetricName = "shared"
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memBuffers MetricName = "buffers"
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memCache MetricName = "cache"
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memAvailable MetricName = "available"
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// cpu stats
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cpuUser MetricName = "user"
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cpuSystem MetricName = "system"
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cpuIOWait MetricName = "iowait"
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cpuIdle MetricName = "idle"
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cpuNice MetricName = "nice"
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cpuSteal MetricName = "steal"
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cpuLoad1 MetricName = "load1"
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cpuLoad5 MetricName = "load5"
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cpuLoad15 MetricName = "load15"
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)
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var (
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resourceCollector *minioResourceCollector
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// resourceMetricsMap is a map of subsystem to its metrics
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resourceMetricsMap map[MetricSubsystem]ResourceMetrics
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// resourceMetricsHelpMap maps metric name to its help string
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resourceMetricsHelpMap map[MetricName]string
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resourceMetricsGroups []*MetricsGroup
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)
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// PeerResourceMetrics represents the resource metrics
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// retrieved from a peer, along with errors if any
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type PeerResourceMetrics struct {
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Metrics map[MetricSubsystem]ResourceMetrics
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Errors []string
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}
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// ResourceMetrics is a map of unique key identifying
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// a resource metric (e.g. reads_per_sec_{node}_{drive})
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// to its data
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type ResourceMetrics map[string]ResourceMetric
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// ResourceMetric represents a single resource metric
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// The metrics are collected from all servers periodically
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// and stored in the resource metrics map.
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// It also maintains the count of number of times this metric
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// was collected since the server started, and the sum,
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// average and max values across the same.
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type ResourceMetric struct {
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Name MetricName
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Labels map[string]string
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// value captured in current cycle
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Current float64
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// Used when system provides cumulative (since uptime) values
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// helps in calculating the current value by comparing the new
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// cumulative value with previous one
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Cumulative float64
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Max float64
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Avg float64
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Sum float64
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Count uint64
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}
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func init() {
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interval := fmt.Sprintf("%ds", int(resourceMetricsCollectionInterval.Seconds()))
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resourceMetricsHelpMap = map[MetricName]string{
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interfaceRxBytes: "Bytes received on the interface in " + interval,
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interfaceRxErrors: "Receive errors in " + interval,
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interfaceTxBytes: "Bytes transmitted in " + interval,
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interfaceTxErrors: "Transmit errors in " + interval,
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total: "Total memory on the node",
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memUsed: "Used memory on the node",
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memFree: "Free memory on the node",
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memShared: "Shared memory on the node",
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memBuffers: "Buffers memory on the node",
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memCache: "Cache memory on the node",
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memAvailable: "Available memory on the node",
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readsPerSec: "Reads per second on a drive",
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writesPerSec: "Writes per second on a drive",
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readsKBPerSec: "Kilobytes read per second on a drive",
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writesKBPerSec: "Kilobytes written per second on a drive",
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readsAwait: "Average time for read requests to be served on a drive",
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writesAwait: "Average time for write requests to be served on a drive",
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percUtil: "Percentage of time the disk was busy since uptime",
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usedBytes: "Used bytes on a drive",
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totalBytes: "Total bytes on a drive",
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usedInodes: "Total inodes used on a drive",
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totalInodes: "Total inodes on a drive",
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cpuUser: "CPU user time",
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cpuSystem: "CPU system time",
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cpuIdle: "CPU idle time",
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cpuIOWait: "CPU ioWait time",
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cpuSteal: "CPU steal time",
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cpuNice: "CPU nice time",
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cpuLoad1: "CPU load average 1min",
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cpuLoad5: "CPU load average 5min",
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cpuLoad15: "CPU load average 15min",
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}
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resourceMetricsGroups = []*MetricsGroup{
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getResourceMetrics(),
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}
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resourceCollector = newMinioResourceCollector(resourceMetricsGroups)
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}
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func updateResourceMetrics(subSys MetricSubsystem, name MetricName, val float64, labels map[string]string, isCumulative bool) {
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subsysMetrics, found := resourceMetricsMap[subSys]
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if !found {
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subsysMetrics = ResourceMetrics{}
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}
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// labels are used to uniquely identify a metric
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// e.g. reads_per_sec_{drive} inside the map
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sfx := ""
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for _, v := range labels {
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if len(sfx) > 0 {
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sfx += "_"
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}
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sfx += v
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}
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key := string(name) + "_" + sfx
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metric, found := subsysMetrics[key]
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if !found {
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metric = ResourceMetric{
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Name: name,
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Labels: labels,
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}
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}
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if isCumulative {
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metric.Current = val - metric.Cumulative
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metric.Cumulative = val
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} else {
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metric.Current = val
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}
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if metric.Current > metric.Max {
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metric.Max = val
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}
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metric.Sum += metric.Current
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metric.Count++
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metric.Avg = metric.Sum / float64(metric.Count)
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subsysMetrics[key] = metric
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resourceMetricsMap[subSys] = subsysMetrics
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}
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func collectDriveMetrics(m madmin.RealtimeMetrics) {
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upt, _ := host.Uptime()
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kib := 1 << 10
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sectorSize := uint64(512)
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for d, dm := range m.ByDisk {
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stats := dm.IOStats
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labels := map[string]string{"drive": d}
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updateResourceMetrics(driveSubsystem, readsPerSec, float64(stats.ReadIOs)/float64(upt), labels, false)
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readBytes := stats.ReadSectors * sectorSize
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readKib := float64(readBytes) / float64(kib)
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readKibPerSec := readKib / float64(upt)
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updateResourceMetrics(driveSubsystem, readsKBPerSec, readKibPerSec, labels, false)
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updateResourceMetrics(driveSubsystem, writesPerSec, float64(stats.WriteIOs)/float64(upt), labels, false)
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writeBytes := stats.WriteSectors * sectorSize
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writeKib := float64(writeBytes) / float64(kib)
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writeKibPerSec := writeKib / float64(upt)
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updateResourceMetrics(driveSubsystem, writesKBPerSec, writeKibPerSec, labels, false)
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rdAwait := 0.0
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if stats.ReadIOs > 0 {
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rdAwait = float64(stats.ReadTicks) / float64(stats.ReadIOs)
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}
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updateResourceMetrics(driveSubsystem, readsAwait, rdAwait, labels, false)
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wrAwait := 0.0
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if stats.WriteIOs > 0 {
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wrAwait = float64(stats.WriteTicks) / float64(stats.WriteIOs)
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}
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updateResourceMetrics(driveSubsystem, writesAwait, wrAwait, labels, false)
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updateResourceMetrics(driveSubsystem, percUtil, float64(stats.TotalTicks)/float64(upt*10), labels, false)
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}
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globalLocalDrivesMu.RLock()
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gld := globalLocalDrives
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globalLocalDrivesMu.RUnlock()
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for _, d := range gld {
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labels := map[string]string{"drive": d.Endpoint().RawPath}
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di, err := d.DiskInfo(GlobalContext, false)
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if err == nil {
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updateResourceMetrics(driveSubsystem, usedBytes, float64(di.Used), labels, false)
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updateResourceMetrics(driveSubsystem, totalBytes, float64(di.Total), labels, false)
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updateResourceMetrics(driveSubsystem, usedInodes, float64(di.UsedInodes), labels, false)
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updateResourceMetrics(driveSubsystem, totalInodes, float64(di.FreeInodes+di.UsedInodes), labels, false)
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}
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}
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}
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func collectLocalResourceMetrics() {
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var types madmin.MetricType = madmin.MetricsDisk | madmin.MetricNet | madmin.MetricsMem | madmin.MetricsCPU
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m := collectLocalMetrics(types, collectMetricsOpts{
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hosts: map[string]struct{}{
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globalLocalNodeName: {},
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},
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})
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for host, hm := range m.ByHost {
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if len(host) > 0 {
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if hm.Net != nil && len(hm.Net.NetStats.Name) > 0 {
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stats := hm.Net.NetStats
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labels := map[string]string{"interface": stats.Name}
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updateResourceMetrics(interfaceSubsystem, interfaceRxBytes, float64(stats.RxBytes), labels, true)
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updateResourceMetrics(interfaceSubsystem, interfaceRxErrors, float64(stats.RxErrors), labels, true)
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updateResourceMetrics(interfaceSubsystem, interfaceTxBytes, float64(stats.TxBytes), labels, true)
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updateResourceMetrics(interfaceSubsystem, interfaceTxErrors, float64(stats.TxErrors), labels, true)
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}
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if hm.Mem != nil && len(hm.Mem.Info.Addr) > 0 {
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labels := map[string]string{}
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stats := hm.Mem.Info
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updateResourceMetrics(memSubsystem, total, float64(stats.Total), labels, false)
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updateResourceMetrics(memSubsystem, memUsed, float64(stats.Used), labels, false)
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updateResourceMetrics(memSubsystem, memFree, float64(stats.Free), labels, false)
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updateResourceMetrics(memSubsystem, memShared, float64(stats.Shared), labels, false)
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updateResourceMetrics(memSubsystem, memBuffers, float64(stats.Buffers), labels, false)
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updateResourceMetrics(memSubsystem, memAvailable, float64(stats.Available), labels, false)
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updateResourceMetrics(memSubsystem, memCache, float64(stats.Cache), labels, false)
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}
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if hm.CPU != nil {
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labels := map[string]string{}
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ts := hm.CPU.TimesStat
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if ts != nil {
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tot := ts.User + ts.System + ts.Idle + ts.Iowait + ts.Nice + ts.Steal
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cpuUserVal := math.Round(ts.User/tot*100*100) / 100
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updateResourceMetrics(cpuSubsystem, cpuUser, cpuUserVal, labels, false)
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cpuSystemVal := math.Round(ts.System/tot*100*100) / 100
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updateResourceMetrics(cpuSubsystem, cpuSystem, cpuSystemVal, labels, false)
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cpuIdleVal := math.Round(ts.Idle/tot*100*100) / 100
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updateResourceMetrics(cpuSubsystem, cpuIdle, cpuIdleVal, labels, false)
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cpuIOWaitVal := math.Round(ts.Iowait/tot*100*100) / 100
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updateResourceMetrics(cpuSubsystem, cpuIOWait, cpuIOWaitVal, labels, false)
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cpuNiceVal := math.Round(ts.Nice/tot*100*100) / 100
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updateResourceMetrics(cpuSubsystem, cpuNice, cpuNiceVal, labels, false)
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cpuStealVal := math.Round(ts.Steal/tot*100*100) / 100
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updateResourceMetrics(cpuSubsystem, cpuSteal, cpuStealVal, labels, false)
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}
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ls := hm.CPU.LoadStat
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if ls != nil {
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updateResourceMetrics(cpuSubsystem, cpuLoad1, ls.Load1, labels, false)
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updateResourceMetrics(cpuSubsystem, cpuLoad5, ls.Load5, labels, false)
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updateResourceMetrics(cpuSubsystem, cpuLoad15, ls.Load15, labels, false)
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}
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}
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break // only one host expected
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}
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}
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collectDriveMetrics(m)
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}
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// startResourceMetricsCollection - starts the job for collecting resource metrics
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func startResourceMetricsCollection() {
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resourceMetricsMap = map[MetricSubsystem]ResourceMetrics{}
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metricsTimer := time.NewTimer(resourceMetricsCollectionInterval)
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defer metricsTimer.Stop()
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collectLocalResourceMetrics()
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for {
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select {
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case <-GlobalContext.Done():
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return
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case <-metricsTimer.C:
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collectLocalResourceMetrics()
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// Reset the timer for next cycle.
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metricsTimer.Reset(resourceMetricsCollectionInterval)
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}
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}
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}
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// minioResourceCollector is the Collector for resource metrics
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type minioResourceCollector struct {
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metricsGroups []*MetricsGroup
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desc *prometheus.Desc
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}
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// Describe sends the super-set of all possible descriptors of metrics
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func (c *minioResourceCollector) Describe(ch chan<- *prometheus.Desc) {
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ch <- c.desc
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}
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// Collect is called by the Prometheus registry when collecting metrics.
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func (c *minioResourceCollector) Collect(out chan<- prometheus.Metric) {
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var wg sync.WaitGroup
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publish := func(in <-chan Metric) {
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defer wg.Done()
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for metric := range in {
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labels, values := getOrderedLabelValueArrays(metric.VariableLabels)
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collectMetric(metric, labels, values, "resource", out)
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}
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}
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// Call peer api to fetch metrics
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wg.Add(2)
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go publish(ReportMetrics(GlobalContext, c.metricsGroups))
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go publish(globalNotificationSys.GetResourceMetrics(GlobalContext))
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wg.Wait()
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}
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// newMinioResourceCollector describes the collector
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// and returns reference of minio resource Collector
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// It creates the Prometheus Description which is used
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// to define Metric and help string
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func newMinioResourceCollector(metricsGroups []*MetricsGroup) *minioResourceCollector {
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return &minioResourceCollector{
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metricsGroups: metricsGroups,
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desc: prometheus.NewDesc("minio_resource_stats", "Resource statistics exposed by MinIO server", nil, nil),
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}
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}
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func prepareResourceMetrics(rm ResourceMetric, subSys MetricSubsystem, requireAvgMax bool) []Metric {
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help := resourceMetricsHelpMap[rm.Name]
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name := rm.Name
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metrics := []Metric{}
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metrics = append(metrics, Metric{
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Description: getResourceMetricDescription(subSys, name, help),
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Value: rm.Current,
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VariableLabels: rm.Labels,
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})
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if requireAvgMax {
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avgName := MetricName(fmt.Sprintf("%s_avg", name))
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avgHelp := fmt.Sprintf("%s (avg)", help)
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metrics = append(metrics, Metric{
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Description: getResourceMetricDescription(subSys, avgName, avgHelp),
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Value: math.Round(rm.Avg*100) / 100,
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VariableLabels: rm.Labels,
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})
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maxName := MetricName(fmt.Sprintf("%s_max", name))
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maxHelp := fmt.Sprintf("%s (max)", help)
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metrics = append(metrics, Metric{
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Description: getResourceMetricDescription(subSys, maxName, maxHelp),
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Value: rm.Max,
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VariableLabels: rm.Labels,
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})
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}
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return metrics
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}
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func getResourceMetricDescription(subSys MetricSubsystem, name MetricName, help string) MetricDescription {
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return MetricDescription{
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Namespace: nodeMetricNamespace,
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Subsystem: subSys,
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Name: name,
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Help: help,
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Type: gaugeMetric,
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}
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}
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func getResourceMetrics() *MetricsGroup {
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mg := &MetricsGroup{
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cacheInterval: resourceMetricsCacheInterval,
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}
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mg.RegisterRead(func(ctx context.Context) []Metric {
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metrics := []Metric{}
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subSystems := []MetricSubsystem{interfaceSubsystem, memSubsystem, driveSubsystem, cpuSubsystem}
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for _, subSys := range subSystems {
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stats, found := resourceMetricsMap[subSys]
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if found {
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requireAvgMax := true
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if subSys == driveSubsystem {
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requireAvgMax = false
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}
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for _, m := range stats {
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metrics = append(metrics, prepareResourceMetrics(m, subSys, requireAvgMax)...)
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}
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}
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}
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return metrics
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})
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return mg
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}
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// metricsResourceHandler is the prometheus handler for resource metrics
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func metricsResourceHandler() http.Handler {
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return metricsHTTPHandler(resourceCollector, "handler.MetricsResource")
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}
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