Files
seaweedfs/weed/admin/dash/monitoring_data.go
T
Chris Lu 609aab6d8a admin: classify volume reads and writes by HTTP method
The request counters label "type" with the HTTP method, so filtering on
type=read/write matched nothing and left the throughput chart empty. A
live cluster reports type=GET/POST.
2026-09-14 23:59:38 -07:00

381 lines
11 KiB
Go

package dash
import (
"sort"
"strings"
"time"
)
// Metric names scraped from each component, as registered in weed/stats.
const (
mMasterUnderReplicated = "SeaweedFS_master_under_replicated_volumes"
mMasterWritable = "SeaweedFS_master_volume_layout_writable"
mMasterCrowded = "SeaweedFS_master_volume_layout_crowded"
mMasterHeartbeats = "SeaweedFS_master_received_heartbeats"
mMasterVolumeCreation = "SeaweedFS_master_volume_creation_total"
mMasterLeaderChanges = "SeaweedFS_master_leader_changes"
mMasterIsLeader = "SeaweedFS_master_is_leader"
mMasterPlacementMiss = "SeaweedFS_master_replica_placement_mismatch"
mVolumeRequests = "SeaweedFS_volumeServer_request_total"
mVolumeLatency = "SeaweedFS_volumeServer_request_seconds"
mVolumeResource = "SeaweedFS_volumeServer_resource"
mVolumeDiskError = "SeaweedFS_volumeServer_disk_error_status"
mVolumeIOError = "SeaweedFS_volumeServer_storage_io_error_total"
mVolumeQuarantine = "SeaweedFS_volumeServer_io_quarantine"
mFilerRequests = "SeaweedFS_filer_request_total"
mFilerLatency = "SeaweedFS_filer_request_seconds"
mFilerInFlight = "SeaweedFS_filer_in_flight_requests"
mFilerStoreLat = "SeaweedFS_filerStore_request_seconds"
mFilerSyncLag = "SeaweedFS_filerSync_lag_seconds"
mS3Requests = "SeaweedFS_s3_request_total"
mS3Latency = "SeaweedFS_s3_request_seconds"
mAdminTasksByStatus = "SeaweedFS_admin_maintenance_tasks_by_status"
mAdminTasksDone = "SeaweedFS_admin_maintenance_tasks_completed_total"
mAdminWorkerSlots = "SeaweedFS_admin_worker_slots"
mAdminWorkers = "SeaweedFS_admin_workers_connected"
)
// Scrape source components.
const (
srcMaster = "master"
srcVolume = "volume"
srcFiler = "filer"
srcS3 = "s3"
srcAdmin = "admin/local"
)
type MonitoringData struct {
LastUpdated time.Time
Overview MonitoringOverview
VolumeServers []MonitoringVolumeServer
Filers []MonitoringFiler
S3 []MonitoringS3
Masters []MonitoringMaster
Workers MonitoringWorkers
}
type MonitoringOverview struct {
UnderReplicatedVolumes []float64
WritableVolumes []float64
CrowdedVolumes []float64
DiskUsagePct []float64
VolumeReadRate []float64
VolumeWriteRate []float64
FilerRequestRate []float64
S3RequestRate []float64
VolumeP50 []float64
VolumeP95 []float64
VolumeP99 []float64
FilerP50 []float64
FilerP95 []float64
FilerP99 []float64
VolumeErrorRate []float64
FilerErrorRate []float64
S3ErrorRate []float64
DiskErrors []float64
Quarantined []float64
QueueDepth []float64
SlotsUsed []float64
SlotsMax []float64
}
type MonitoringVolumeServer struct {
Address string
RequestRate []float64
P99 []float64
DiskUsagePct []float64
ErrorRate []float64
HasData bool
}
type MonitoringFiler struct {
Address string
RequestRate []float64
P99 []float64
StoreP99 []float64
InFlight []float64
SyncLag []float64
HasData bool
}
type MonitoringS3 struct {
Address string
RequestRate []float64
Errors4xx []float64
Errors5xx []float64
P99 []float64
HasData bool
}
type MonitoringMaster struct {
Address string
IsLeader bool
HeartbeatRate []float64
VolumeCreation []float64
LeaderChanges []float64
PlacementMiss []float64
HasData bool
}
type MonitoringWorkers struct {
QueueDepth []float64
SlotsUsed []float64
SlotsMax []float64
TaskRate []float64
Connected int
Workers []MonitoringWorker
}
type MonitoringWorker struct {
ID string
}
func (s *AdminServer) GetMonitoringData() *MonitoringData {
d := &MonitoringData{LastUpdated: time.Now()}
s.fillOverview(d)
s.fillVolumeServers(d)
s.fillFilers(d)
s.fillS3(d)
s.fillMasters(d)
s.fillWorkers(d)
return d
}
// isErrorCode reports whether a request_total series carries a 4xx/5xx code.
func isErrorCode(labels map[string]string) bool {
code := labels["code"]
return strings.HasPrefix(code, "4") || strings.HasPrefix(code, "5")
}
func hasLabel(key, value string) func(map[string]string) bool {
return func(labels map[string]string) bool { return labels[key] == value }
}
// The request counters label "type" with the HTTP method, so reads and writes
// are classified by verb rather than by a dedicated label.
func isReadRequest(labels map[string]string) bool {
switch labels["type"] {
case "GET", "HEAD":
return true
}
return false
}
func isWriteRequest(labels map[string]string) bool {
switch labels["type"] {
case "POST", "PUT", "PATCH", "DELETE":
return true
}
return false
}
func (s *AdminServer) fillOverview(d *MonitoringData) {
o := &d.Overview
o.UnderReplicatedVolumes = s.sum(srcMaster, mMasterUnderReplicated)
o.WritableVolumes = s.sum(srcMaster, mMasterWritable)
o.CrowdedVolumes = s.sum(srcMaster, mMasterCrowded)
o.DiskUsagePct = s.diskUsagePct(srcVolume)
o.VolumeReadRate = s.sumFiltered(srcVolume, mVolumeRequests+suffixRate, isReadRequest)
o.VolumeWriteRate = s.sumFiltered(srcVolume, mVolumeRequests+suffixRate, isWriteRequest)
o.FilerRequestRate = s.sum(srcFiler, mFilerRequests+suffixRate)
o.S3RequestRate = s.sum(srcS3, mS3Requests+suffixRate)
o.VolumeP50 = s.max(srcVolume, mVolumeLatency+suffixP50)
o.VolumeP95 = s.max(srcVolume, mVolumeLatency+suffixP95)
o.VolumeP99 = s.max(srcVolume, mVolumeLatency+suffixP99)
o.FilerP50 = s.max(srcFiler, mFilerLatency+suffixP50)
o.FilerP95 = s.max(srcFiler, mFilerLatency+suffixP95)
o.FilerP99 = s.max(srcFiler, mFilerLatency+suffixP99)
o.VolumeErrorRate = s.sumFiltered(srcVolume, mVolumeRequests+suffixRate, isErrorCode)
o.FilerErrorRate = s.sumFiltered(srcFiler, mFilerRequests+suffixRate, isErrorCode)
o.S3ErrorRate = s.sumFiltered(srcS3, mS3Requests+suffixRate, isErrorCode)
o.DiskErrors = s.sum(srcVolume, mVolumeDiskError)
o.Quarantined = s.sum(srcVolume, mVolumeQuarantine)
o.QueueDepth = s.sumFiltered(srcAdmin, mAdminTasksByStatus, func(l map[string]string) bool {
return l["status"] == "pending" || l["status"] == "assigned" || l["status"] == "in_progress"
})
o.SlotsUsed = s.sumFiltered(srcAdmin, mAdminWorkerSlots, hasLabel("state", "used"))
o.SlotsMax = s.sumFiltered(srcAdmin, mAdminWorkerSlots, hasLabel("state", "max"))
}
func (s *AdminServer) fillVolumeServers(d *MonitoringData) {
for _, addr := range s.sourceAddresses(srcVolume) {
src := srcVolume + "/" + addr
vs := MonitoringVolumeServer{
Address: addr,
RequestRate: s.sum(src, mVolumeRequests+suffixRate),
P99: s.max(src, mVolumeLatency+suffixP99),
DiskUsagePct: s.diskUsagePct(src),
ErrorRate: s.sumFiltered(src, mVolumeRequests+suffixRate, isErrorCode),
}
vs.HasData = len(vs.RequestRate) > 0 || len(vs.DiskUsagePct) > 0
d.VolumeServers = append(d.VolumeServers, vs)
}
}
func (s *AdminServer) fillFilers(d *MonitoringData) {
for _, addr := range s.sourceAddresses(srcFiler) {
src := srcFiler + "/" + addr
f := MonitoringFiler{
Address: addr,
RequestRate: s.sum(src, mFilerRequests+suffixRate),
P99: s.max(src, mFilerLatency+suffixP99),
StoreP99: s.max(src, mFilerStoreLat+suffixP99),
InFlight: s.sum(src, mFilerInFlight),
SyncLag: s.max(src, mFilerSyncLag),
}
f.HasData = len(f.RequestRate) > 0 || len(f.InFlight) > 0
d.Filers = append(d.Filers, f)
}
}
func (s *AdminServer) fillS3(d *MonitoringData) {
for _, addr := range s.sourceAddresses(srcS3) {
src := srcS3 + "/" + addr
n := MonitoringS3{
Address: addr,
RequestRate: s.sum(src, mS3Requests+suffixRate),
Errors4xx: s.sumFiltered(src, mS3Requests+suffixRate, func(l map[string]string) bool {
return strings.HasPrefix(l["code"], "4")
}),
Errors5xx: s.sumFiltered(src, mS3Requests+suffixRate, func(l map[string]string) bool {
return strings.HasPrefix(l["code"], "5")
}),
P99: s.max(src, mS3Latency+suffixP99),
}
n.HasData = len(n.RequestRate) > 0
d.S3 = append(d.S3, n)
}
}
func (s *AdminServer) fillMasters(d *MonitoringData) {
leaders := map[string]bool{}
if topo, err := s.GetClusterTopology(); err == nil && topo != nil {
for _, m := range topo.Masters {
leaders[m.Address] = m.IsLeader
}
}
for _, addr := range s.sourceAddresses(srcMaster) {
src := srcMaster + "/" + addr
m := MonitoringMaster{
Address: addr,
IsLeader: leaders[addr],
HeartbeatRate: s.sum(src, mMasterHeartbeats+suffixRate),
VolumeCreation: s.sum(src, mMasterVolumeCreation+suffixRate),
LeaderChanges: s.sum(src, mMasterLeaderChanges+suffixRate),
PlacementMiss: s.sum(src, mMasterPlacementMiss),
}
m.HasData = len(m.HeartbeatRate) > 0 || len(m.PlacementMiss) > 0
d.Masters = append(d.Masters, m)
}
}
func (s *AdminServer) fillWorkers(d *MonitoringData) {
w := &d.Workers
w.QueueDepth = d.Overview.QueueDepth
w.SlotsUsed = d.Overview.SlotsUsed
w.SlotsMax = d.Overview.SlotsMax
w.TaskRate = s.sum(srcAdmin, mAdminTasksDone+suffixRate)
if s.workerGrpcServer == nil {
return
}
ids := s.workerGrpcServer.GetConnectedWorkers()
sort.Strings(ids)
w.Connected = len(ids)
for _, id := range ids {
w.Workers = append(w.Workers, MonitoringWorker{ID: id})
}
}
// sourceAddresses lists the scraped server addresses for a component, sorted.
func (s *AdminServer) sourceAddresses(component string) []string {
seen := map[string]bool{}
for _, t := range s.scrapeTargets() {
if strings.HasPrefix(t.source, component+"/") {
seen[strings.TrimPrefix(t.source, component+"/")] = true
}
}
out := make([]string, 0, len(seen))
for addr := range seen {
out = append(out, addr)
}
sort.Strings(out)
return out
}
func (s *AdminServer) sum(source, metric string) []float64 {
return s.sumFiltered(source, metric, nil)
}
// sumFiltered adds every matching series together per sample timestamp. Use it
// for counts and rates, which are additive across servers and labels.
func (s *AdminServer) sumFiltered(source, metric string, keep func(map[string]string) bool) []float64 {
return s.reduce(source, metric, keep, func(acc, v float64) float64 { return acc + v })
}
// max takes the worst value per timestamp. Use it for latency quantiles, which
// cannot be summed meaningfully across servers.
func (s *AdminServer) max(source, metric string) []float64 {
return s.reduce(source, metric, nil, func(acc, v float64) float64 {
if v > acc {
return v
}
return acc
})
}
func (s *AdminServer) reduce(source, metric string, keep func(map[string]string) bool, combine func(acc, v float64) float64) []float64 {
matches := s.metricsStore.matchFiltered(source, metric, keep)
if len(matches) == 0 {
return nil
}
byTime := map[time.Time]float64{}
var times []time.Time
for _, ser := range matches {
for _, sm := range ser.snapshot() {
if _, ok := byTime[sm.t]; !ok {
times = append(times, sm.t)
}
byTime[sm.t] = combine(byTime[sm.t], sm.values[""])
}
}
sort.Slice(times, func(i, j int) bool { return times[i].Before(times[j]) })
out := make([]float64, len(times))
for i, t := range times {
out[i] = byTime[t]
}
return out
}
// diskUsagePct derives used/total disk as a percentage from the volume server
// resource gauge, which reports bytes per mount under type=used and type=all.
func (s *AdminServer) diskUsagePct(source string) []float64 {
used := s.sumFiltered(source, mVolumeResource, hasLabel("type", "used"))
all := s.sumFiltered(source, mVolumeResource, hasLabel("type", "all"))
n := len(used)
if len(all) < n {
n = len(all)
}
if n == 0 {
return nil
}
out := make([]float64, n)
for i := 0; i < n; i++ {
if all[i] > 0 {
out[i] = used[i] / all[i] * 100
}
}
return out
}