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Merge branch 'dev' into add_nats_server

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This commit is contained in:
Christoph Kluge 2024-09-05 18:04:28 +02:00
commit f61b5bb2a7
31 changed files with 1403 additions and 934 deletions
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20
Makefile
View File

@ -22,11 +22,21 @@ SVELTE_COMPONENTS = status \
header
SVELTE_TARGETS = $(addprefix $(FRONTEND)/public/build/,$(addsuffix .js, $(SVELTE_COMPONENTS)))
SVELTE_SRC = $(wildcard $(FRONTEND)/src/*.svelte) \
$(wildcard $(FRONTEND)/src/*.js) \
$(wildcard $(FRONTEND)/src/filters/*.svelte) \
$(wildcard $(FRONTEND)/src/plots/*.svelte) \
$(wildcard $(FRONTEND)/src/joblist/*.svelte)
SVELTE_SRC = $(wildcard $(FRONTEND)/src/*.svelte) \
$(wildcard $(FRONTEND)/src/*.js) \
$(wildcard $(FRONTEND)/src/analysis/*.svelte) \
$(wildcard $(FRONTEND)/src/config/*.svelte) \
$(wildcard $(FRONTEND)/src/config/admin/*.svelte) \
$(wildcard $(FRONTEND)/src/config/user/*.svelte) \
$(wildcard $(FRONTEND)/src/generic/*.js) \
$(wildcard $(FRONTEND)/src/generic/*.svelte) \
$(wildcard $(FRONTEND)/src/generic/filters/*.svelte) \
$(wildcard $(FRONTEND)/src/generic/plots/*.svelte) \
$(wildcard $(FRONTEND)/src/generic/joblist/*.svelte) \
$(wildcard $(FRONTEND)/src/generic/helper/*.svelte) \
$(wildcard $(FRONTEND)/src/generic/select/*.svelte) \
$(wildcard $(FRONTEND)/src/header/*.svelte) \
$(wildcard $(FRONTEND)/src/job/*.svelte)
.PHONY: clean distclean test tags frontend swagger graphql $(TARGET)

2
cmd/cc-backend/main.go
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@ -182,7 +182,7 @@ func main() {
log.Fatalf("failed to initialize archive: %s", err.Error())
}
if err := metricdata.Init(config.Keys.DisableArchive); err != nil {
if err := metricdata.Init(); err != nil {
log.Fatalf("failed to initialize metricdata repository: %s", err.Error())
}

56
cmd/cc-backend/server.go
View File

@ -20,6 +20,7 @@ import (
"github.com/99designs/gqlgen/graphql/handler"
"github.com/99designs/gqlgen/graphql/playground"
"github.com/ClusterCockpit/cc-backend/internal/api"
"github.com/ClusterCockpit/cc-backend/internal/archiver"
"github.com/ClusterCockpit/cc-backend/internal/auth"
"github.com/ClusterCockpit/cc-backend/internal/config"
"github.com/ClusterCockpit/cc-backend/internal/graph"
@ -38,6 +39,15 @@ var (
apiHandle *api.RestApi
)
func onFailureResponse(rw http.ResponseWriter, r *http.Request, err error) {
rw.Header().Add("Content-Type", "application/json")
rw.WriteHeader(http.StatusUnauthorized)
json.NewEncoder(rw).Encode(map[string]string{
"status": http.StatusText(http.StatusUnauthorized),
"error": err.Error(),
})
}
func serverInit() {
// Setup the http.Handler/Router used by the server
graph.Init()
@ -166,64 +176,32 @@ func serverInit() {
return authHandle.AuthApi(
// On success;
next,
// On failure: JSON Response
func(rw http.ResponseWriter, r *http.Request, err error) {
rw.Header().Add("Content-Type", "application/json")
rw.WriteHeader(http.StatusUnauthorized)
json.NewEncoder(rw).Encode(map[string]string{
"status": http.StatusText(http.StatusUnauthorized),
"error": err.Error(),
})
})
onFailureResponse)
})
userapi.Use(func(next http.Handler) http.Handler {
return authHandle.AuthUserApi(
// On success;
next,
// On failure: JSON Response
func(rw http.ResponseWriter, r *http.Request, err error) {
rw.Header().Add("Content-Type", "application/json")
rw.WriteHeader(http.StatusUnauthorized)
json.NewEncoder(rw).Encode(map[string]string{
"status": http.StatusText(http.StatusUnauthorized),
"error": err.Error(),
})
})
onFailureResponse)
})
configapi.Use(func(next http.Handler) http.Handler {
return authHandle.AuthConfigApi(
// On success;
next,
// On failure: JSON Response
func(rw http.ResponseWriter, r *http.Request, err error) {
rw.Header().Add("Content-Type", "application/json")
rw.WriteHeader(http.StatusUnauthorized)
json.NewEncoder(rw).Encode(map[string]string{
"status": http.StatusText(http.StatusUnauthorized),
"error": err.Error(),
})
})
onFailureResponse)
})
frontendapi.Use(func(next http.Handler) http.Handler {
return authHandle.AuthFrontendApi(
// On success;
next,
// On failure: JSON Response
func(rw http.ResponseWriter, r *http.Request, err error) {
rw.Header().Add("Content-Type", "application/json")
rw.WriteHeader(http.StatusUnauthorized)
json.NewEncoder(rw).Encode(map[string]string{
"status": http.StatusText(http.StatusUnauthorized),
"error": err.Error(),
})
})
onFailureResponse)
})
}
@ -283,8 +261,8 @@ func serverStart() {
})
server = &http.Server{
ReadTimeout: 10 * time.Second,
WriteTimeout: 10 * time.Second,
ReadTimeout: 20 * time.Second,
WriteTimeout: 20 * time.Second,
Handler: handler,
Addr: config.Keys.Addr,
}
@ -331,5 +309,5 @@ func serverShutdown() {
server.Shutdown(context.Background())
// Then, wait for any async archivings still pending...
apiHandle.JobRepository.WaitForArchiving()
archiver.WaitForArchiving()
}

11
internal/api/api_test.go
View File

@ -19,9 +19,11 @@ import (
"testing"
"github.com/ClusterCockpit/cc-backend/internal/api"
"github.com/ClusterCockpit/cc-backend/internal/archiver"
"github.com/ClusterCockpit/cc-backend/internal/auth"
"github.com/ClusterCockpit/cc-backend/internal/config"
"github.com/ClusterCockpit/cc-backend/internal/graph"
"github.com/ClusterCockpit/cc-backend/internal/metricDataDispatcher"
"github.com/ClusterCockpit/cc-backend/internal/metricdata"
"github.com/ClusterCockpit/cc-backend/internal/repository"
"github.com/ClusterCockpit/cc-backend/pkg/archive"
@ -150,10 +152,11 @@ func setup(t *testing.T) *api.RestApi {
t.Fatal(err)
}
if err := metricdata.Init(config.Keys.DisableArchive); err != nil {
if err := metricdata.Init(); err != nil {
t.Fatal(err)
}
archiver.Start(repository.GetJobRepository())
auth.Init()
graph.Init()
@ -311,7 +314,7 @@ func TestRestApi(t *testing.T) {
t.Fatal(response.Status, recorder.Body.String())
}
restapi.JobRepository.WaitForArchiving()
archiver.WaitForArchiving()
resolver := graph.GetResolverInstance()
job, err := resolver.Query().Job(ctx, strconv.Itoa(int(dbid)))
if err != nil {
@ -341,7 +344,7 @@ func TestRestApi(t *testing.T) {
}
t.Run("CheckArchive", func(t *testing.T) {
data, err := metricdata.LoadData(stoppedJob, []string{"load_one"}, []schema.MetricScope{schema.MetricScopeNode}, context.Background())
data, err := metricDataDispatcher.LoadData(stoppedJob, []string{"load_one"}, []schema.MetricScope{schema.MetricScopeNode}, context.Background())
if err != nil {
t.Fatal(err)
}
@ -422,7 +425,7 @@ func TestRestApi(t *testing.T) {
t.Fatal(response.Status, recorder.Body.String())
}
restapi.JobRepository.WaitForArchiving()
archiver.WaitForArchiving()
jobid, cluster := int64(12345), "testcluster"
job, err := restapi.JobRepository.Find(&jobid, &cluster, nil)
if err != nil {

9
internal/api/rest.go
View File

@ -19,12 +19,13 @@ import (
"sync"
"time"
"github.com/ClusterCockpit/cc-backend/internal/archiver"
"github.com/ClusterCockpit/cc-backend/internal/auth"
"github.com/ClusterCockpit/cc-backend/internal/config"
"github.com/ClusterCockpit/cc-backend/internal/graph"
"github.com/ClusterCockpit/cc-backend/internal/graph/model"
"github.com/ClusterCockpit/cc-backend/internal/importer"
"github.com/ClusterCockpit/cc-backend/internal/metricdata"
"github.com/ClusterCockpit/cc-backend/internal/metricDataDispatcher"
"github.com/ClusterCockpit/cc-backend/internal/repository"
"github.com/ClusterCockpit/cc-backend/internal/util"
"github.com/ClusterCockpit/cc-backend/pkg/archive"
@ -515,7 +516,7 @@ func (api *RestApi) getCompleteJobById(rw http.ResponseWriter, r *http.Request)
var data schema.JobData
if r.URL.Query().Get("all-metrics") == "true" {
data, err = metricdata.LoadData(job, nil, scopes, r.Context())
data, err = metricDataDispatcher.LoadData(job, nil, scopes, r.Context())
if err != nil {
log.Warn("Error while loading job data")
return
@ -604,7 +605,7 @@ func (api *RestApi) getJobById(rw http.ResponseWriter, r *http.Request) {
scopes = []schema.MetricScope{"node"}
}
data, err := metricdata.LoadData(job, metrics, scopes, r.Context())
data, err := metricDataDispatcher.LoadData(job, metrics, scopes, r.Context())
if err != nil {
log.Warn("Error while loading job data")
return
@ -1081,7 +1082,7 @@ func (api *RestApi) checkAndHandleStopJob(rw http.ResponseWriter, job *schema.Jo
}
// Trigger async archiving
api.JobRepository.TriggerArchiving(job)
archiver.TriggerArchiving(job)
}
func (api *RestApi) getJobMetrics(rw http.ResponseWriter, r *http.Request) {

94
internal/archiver/archiveWorker.go Normal file
View File

@ -0,0 +1,94 @@
// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.
// All rights reserved.
// Use of this source code is governed by a MIT-style
// license that can be found in the LICENSE file.
package archiver
import (
"context"
"sync"
"time"
"github.com/ClusterCockpit/cc-backend/internal/repository"
"github.com/ClusterCockpit/cc-backend/pkg/log"
"github.com/ClusterCockpit/cc-backend/pkg/schema"
sq "github.com/Masterminds/squirrel"
)
var (
archivePending sync.WaitGroup
archiveChannel chan *schema.Job
jobRepo *repository.JobRepository
)
func Start(r *repository.JobRepository) {
archiveChannel = make(chan *schema.Job, 128)
jobRepo = r
go archivingWorker()
}
// Archiving worker thread
func archivingWorker() {
for {
select {
case job, ok := <-archiveChannel:
if !ok {
break
}
start := time.Now()
// not using meta data, called to load JobMeta into Cache?
// will fail if job meta not in repository
if _, err := jobRepo.FetchMetadata(job); err != nil {
log.Errorf("archiving job (dbid: %d) failed at check metadata step: %s", job.ID, err.Error())
jobRepo.UpdateMonitoringStatus(job.ID, schema.MonitoringStatusArchivingFailed)
continue
}
// ArchiveJob will fetch all the data from a MetricDataRepository and push into configured archive backend
// TODO: Maybe use context with cancel/timeout here
jobMeta, err := ArchiveJob(job, context.Background())
if err != nil {
log.Errorf("archiving job (dbid: %d) failed at archiving job step: %s", job.ID, err.Error())
jobRepo.UpdateMonitoringStatus(job.ID, schema.MonitoringStatusArchivingFailed)
continue
}
stmt := sq.Update("job").Where("job.id = ?", job.ID)
if stmt, err = jobRepo.UpdateFootprint(stmt, jobMeta); err != nil {
log.Errorf("archiving job (dbid: %d) failed at update Footprint step: %s", job.ID, err.Error())
continue
}
if stmt, err = jobRepo.UpdateEnergy(stmt, jobMeta); err != nil {
log.Errorf("archiving job (dbid: %d) failed at update Energy step: %s", job.ID, err.Error())
continue
}
// Update the jobs database entry one last time:
stmt = jobRepo.MarkArchived(stmt, schema.MonitoringStatusArchivingSuccessful)
if err := jobRepo.Execute(stmt); err != nil {
log.Errorf("archiving job (dbid: %d) failed at db execute: %s", job.ID, err.Error())
continue
}
log.Debugf("archiving job %d took %s", job.JobID, time.Since(start))
log.Printf("archiving job (dbid: %d) successful", job.ID)
archivePending.Done()
}
}
}
// Trigger async archiving
func TriggerArchiving(job *schema.Job) {
if archiveChannel == nil {
log.Fatal("Cannot archive without archiving channel. Did you Start the archiver?")
}
archivePending.Add(1)
archiveChannel <- job
}
// Wait for background thread to finish pending archiving operations
func WaitForArchiving() {
// close channel and wait for worker to process remaining jobs
archivePending.Wait()
}

82
internal/archiver/archiver.go Normal file
View File

@ -0,0 +1,82 @@
// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.
// All rights reserved.
// Use of this source code is governed by a MIT-style
// license that can be found in the LICENSE file.
package archiver
import (
"context"
"math"
"github.com/ClusterCockpit/cc-backend/internal/config"
"github.com/ClusterCockpit/cc-backend/internal/metricDataDispatcher"
"github.com/ClusterCockpit/cc-backend/pkg/archive"
"github.com/ClusterCockpit/cc-backend/pkg/log"
"github.com/ClusterCockpit/cc-backend/pkg/schema"
)
// Writes a running job to the job-archive
func ArchiveJob(job *schema.Job, ctx context.Context) (*schema.JobMeta, error) {
allMetrics := make([]string, 0)
metricConfigs := archive.GetCluster(job.Cluster).MetricConfig
for _, mc := range metricConfigs {
allMetrics = append(allMetrics, mc.Name)
}
scopes := []schema.MetricScope{schema.MetricScopeNode}
// FIXME: Add a config option for this
if job.NumNodes <= 8 {
// This will add the native scope if core scope is not available
scopes = append(scopes, schema.MetricScopeCore)
}
if job.NumAcc > 0 {
scopes = append(scopes, schema.MetricScopeAccelerator)
}
jobData, err := metricDataDispatcher.LoadData(job, allMetrics, scopes, ctx)
if err != nil {
log.Error("Error wile loading job data for archiving")
return nil, err
}
jobMeta := &schema.JobMeta{
BaseJob: job.BaseJob,
StartTime: job.StartTime.Unix(),
Statistics: make(map[string]schema.JobStatistics),
}
for metric, data := range jobData {
avg, min, max := 0.0, math.MaxFloat32, -math.MaxFloat32
nodeData, ok := data["node"]
if !ok {
// This should never happen ?
continue
}
for _, series := range nodeData.Series {
avg += series.Statistics.Avg
min = math.Min(min, series.Statistics.Min)
max = math.Max(max, series.Statistics.Max)
}
jobMeta.Statistics[metric] = schema.JobStatistics{
Unit: schema.Unit{
Prefix: archive.GetMetricConfig(job.Cluster, metric).Unit.Prefix,
Base: archive.GetMetricConfig(job.Cluster, metric).Unit.Base,
},
Avg: avg / float64(job.NumNodes),
Min: min,
Max: max,
}
}
// If the file based archive is disabled,
// only return the JobMeta structure as the
// statistics in there are needed.
if config.Keys.DisableArchive {
return jobMeta, nil
}
return jobMeta, archive.GetHandle().ImportJob(jobMeta, &jobData)
}

20
internal/graph/schema.resolvers.go
View File

@ -15,7 +15,7 @@ import (
"github.com/ClusterCockpit/cc-backend/internal/config"
"github.com/ClusterCockpit/cc-backend/internal/graph/generated"
"github.com/ClusterCockpit/cc-backend/internal/graph/model"
"github.com/ClusterCockpit/cc-backend/internal/metricdata"
"github.com/ClusterCockpit/cc-backend/internal/metricDataDispatcher"
"github.com/ClusterCockpit/cc-backend/internal/repository"
"github.com/ClusterCockpit/cc-backend/pkg/archive"
"github.com/ClusterCockpit/cc-backend/pkg/log"
@ -231,7 +231,7 @@ func (r *queryResolver) JobMetrics(ctx context.Context, id string, metrics []str
return nil, err
}
data, err := metricdata.LoadData(job, metrics, scopes, ctx)
data, err := metricDataDispatcher.LoadData(job, metrics, scopes, ctx)
if err != nil {
log.Warn("Error while loading job data")
return nil, err
@ -383,7 +383,7 @@ func (r *queryResolver) NodeMetrics(ctx context.Context, cluster string, nodes [
}
}
data, err := metricdata.LoadNodeData(cluster, metrics, nodes, scopes, from, to, ctx)
data, err := metricDataDispatcher.LoadNodeData(cluster, metrics, nodes, scopes, from, to, ctx)
if err != nil {
log.Warn("Error while loading node data")
return nil, err
@ -440,9 +440,11 @@ func (r *Resolver) Query() generated.QueryResolver { return &queryResolver{r} }
// SubCluster returns generated.SubClusterResolver implementation.
func (r *Resolver) SubCluster() generated.SubClusterResolver { return &subClusterResolver{r} }
type clusterResolver struct{ *Resolver }
type jobResolver struct{ *Resolver }
type metricValueResolver struct{ *Resolver }
type mutationResolver struct{ *Resolver }
type queryResolver struct{ *Resolver }
type subClusterResolver struct{ *Resolver }
type (
clusterResolver struct{ *Resolver }
jobResolver struct{ *Resolver }
metricValueResolver struct{ *Resolver }
mutationResolver struct{ *Resolver }
queryResolver struct{ *Resolver }
subClusterResolver struct{ *Resolver }
)

10
internal/graph/util.go
View File

@ -11,7 +11,7 @@ import (
"github.com/99designs/gqlgen/graphql"
"github.com/ClusterCockpit/cc-backend/internal/graph/model"
"github.com/ClusterCockpit/cc-backend/internal/metricdata"
"github.com/ClusterCockpit/cc-backend/internal/metricDataDispatcher"
"github.com/ClusterCockpit/cc-backend/pkg/log"
"github.com/ClusterCockpit/cc-backend/pkg/schema"
// "github.com/ClusterCockpit/cc-backend/pkg/archive"
@ -24,8 +24,8 @@ func (r *queryResolver) rooflineHeatmap(
ctx context.Context,
filter []*model.JobFilter,
rows int, cols int,
minX float64, minY float64, maxX float64, maxY float64) ([][]float64, error) {
minX float64, minY float64, maxX float64, maxY float64,
) ([][]float64, error) {
jobs, err := r.Repo.QueryJobs(ctx, filter, &model.PageRequest{Page: 1, ItemsPerPage: MAX_JOBS_FOR_ANALYSIS + 1}, nil)
if err != nil {
log.Error("Error while querying jobs for roofline")
@ -47,7 +47,7 @@ func (r *queryResolver) rooflineHeatmap(
continue
}
jobdata, err := metricdata.LoadData(job, []string{"flops_any", "mem_bw"}, []schema.MetricScope{schema.MetricScopeNode}, ctx)
jobdata, err := metricDataDispatcher.LoadData(job, []string{"flops_any", "mem_bw"}, []schema.MetricScope{schema.MetricScopeNode}, ctx)
if err != nil {
log.Errorf("Error while loading roofline metrics for job %d", job.ID)
return nil, err
@ -120,7 +120,7 @@ func (r *queryResolver) jobsFootprints(ctx context.Context, filter []*model.JobF
continue
}
if err := metricdata.LoadAverages(job, metrics, avgs, ctx); err != nil {
if err := metricDataDispatcher.LoadAverages(job, metrics, avgs, ctx); err != nil {
log.Error("Error while loading averages for footprint")
return nil, err
}

10
internal/importer/handleImport.go
View File

@ -77,8 +77,16 @@ func HandleImportFlag(flag string) error {
job.Footprint = make(map[string]float64)
for _, fp := range sc.Footprint {
job.Footprint[fp] = repository.LoadJobStat(&job, fp)
statType := "avg"
if i, err := archive.MetricIndex(sc.MetricConfig, fp); err != nil {
statType = sc.MetricConfig[i].Footprint
}
name := fmt.Sprintf("%s_%s", fp, statType)
job.Footprint[fp] = repository.LoadJobStat(&job, name, statType)
}
job.RawFootprint, err = json.Marshal(job.Footprint)
if err != nil {
log.Warn("Error while marshaling job footprint")

26
internal/importer/initDB.go
View File

@ -16,6 +16,11 @@ import (
"github.com/ClusterCockpit/cc-backend/pkg/schema"
)
const (
addTagQuery = "INSERT INTO tag (tag_name, tag_type) VALUES (?, ?)"
setTagQuery = "INSERT INTO jobtag (job_id, tag_id) VALUES (?, ?)"
)
// Delete the tables "job", "tag" and "jobtag" from the database and
// repopulate them using the jobs found in `archive`.
func InitDB() error {
@ -68,7 +73,15 @@ func InitDB() error {
job.Footprint = make(map[string]float64)
for _, fp := range sc.Footprint {
job.Footprint[fp] = repository.LoadJobStat(jobMeta, fp)
statType := "avg"
if i, err := archive.MetricIndex(sc.MetricConfig, fp); err != nil {
statType = sc.MetricConfig[i].Footprint
}
name := fmt.Sprintf("%s_%s", fp, statType)
job.Footprint[fp] = repository.LoadJobStat(jobMeta, name, statType)
}
job.RawFootprint, err = json.Marshal(job.Footprint)
@ -97,7 +110,8 @@ func InitDB() error {
continue
}
id, err := r.TransactionAdd(t, job)
id, err := r.TransactionAddNamed(t,
repository.NamedJobInsert, job)
if err != nil {
log.Errorf("repository initDB(): %v", err)
errorOccured++
@ -108,7 +122,9 @@ func InitDB() error {
tagstr := tag.Name + ":" + tag.Type
tagId, ok := tags[tagstr]
if !ok {
tagId, err = r.TransactionAddTag(t, tag)
tagId, err = r.TransactionAdd(t,
addTagQuery,
tag.Name, tag.Type)
if err != nil {
log.Errorf("Error adding tag: %v", err)
errorOccured++
@ -117,7 +133,9 @@ func InitDB() error {
tags[tagstr] = tagId
}
r.TransactionSetTag(t, id, tagId)
r.TransactionAdd(t,
setTagQuery,
id, tagId)
}
if err == nil {

231
internal/metricDataDispatcher/dataLoader.go Normal file
View File

@ -0,0 +1,231 @@
// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.
// All rights reserved.
// Use of this source code is governed by a MIT-style
// license that can be found in the LICENSE file.
package metricDataDispatcher
import (
"context"
"fmt"
"time"
"github.com/ClusterCockpit/cc-backend/internal/config"
"github.com/ClusterCockpit/cc-backend/internal/metricdata"
"github.com/ClusterCockpit/cc-backend/pkg/archive"
"github.com/ClusterCockpit/cc-backend/pkg/log"
"github.com/ClusterCockpit/cc-backend/pkg/lrucache"
"github.com/ClusterCockpit/cc-backend/pkg/schema"
)
var cache *lrucache.Cache = lrucache.New(128 * 1024 * 1024)
func cacheKey(
job *schema.Job,
metrics []string,
scopes []schema.MetricScope,
) string {
// Duration and StartTime do not need to be in the cache key as StartTime is less unique than
// job.ID and the TTL of the cache entry makes sure it does not stay there forever.
return fmt.Sprintf("%d(%s):[%v],[%v]",
job.ID, job.State, metrics, scopes)
}
// Fetches the metric data for a job.
func LoadData(job *schema.Job,
metrics []string,
scopes []schema.MetricScope,
ctx context.Context,
) (schema.JobData, error) {
data := cache.Get(cacheKey(job, metrics, scopes), func() (_ interface{}, ttl time.Duration, size int) {
var jd schema.JobData
var err error
if job.State == schema.JobStateRunning ||
job.MonitoringStatus == schema.MonitoringStatusRunningOrArchiving ||
config.Keys.DisableArchive {
repo, err := metricdata.GetMetricDataRepo(job.Cluster)
if err != nil {
return fmt.Errorf("METRICDATA/METRICDATA > no metric data repository configured for '%s'", job.Cluster), 0, 0
}
if scopes == nil {
scopes = append(scopes, schema.MetricScopeNode)
}
if metrics == nil {
cluster := archive.GetCluster(job.Cluster)
for _, mc := range cluster.MetricConfig {
metrics = append(metrics, mc.Name)
}
}
jd, err = repo.LoadData(job, metrics, scopes, ctx)
if err != nil {
if len(jd) != 0 {
log.Warnf("partial error: %s", err.Error())
// return err, 0, 0 // Reactivating will block archiving on one partial error
} else {
log.Error("Error while loading job data from metric repository")
return err, 0, 0
}
}
size = jd.Size()
} else {
jd, err = archive.GetHandle().LoadJobData(job)
if err != nil {
log.Error("Error while loading job data from archive")
return err, 0, 0
}
// Avoid sending unrequested data to the client:
if metrics != nil || scopes != nil {
if metrics == nil {
metrics = make([]string, 0, len(jd))
for k := range jd {
metrics = append(metrics, k)
}
}
res := schema.JobData{}
for _, metric := range metrics {
if perscope, ok := jd[metric]; ok {
if len(perscope) > 1 {
subset := make(map[schema.MetricScope]*schema.JobMetric)
for _, scope := range scopes {
if jm, ok := perscope[scope]; ok {
subset[scope] = jm
}
}
if len(subset) > 0 {
perscope = subset
}
}
res[metric] = perscope
}
}
jd = res
}
size = jd.Size()
}
ttl = 5 * time.Hour
if job.State == schema.JobStateRunning {
ttl = 2 * time.Minute
}
// FIXME: Review: Is this really necessary or correct.
// For /monitoring/job/<job> and some other places, flops_any and mem_bw need
// to be available at the scope 'node'. If a job has a lot of nodes,
// statisticsSeries should be available so that a min/median/max Graph can be
// used instead of a lot of single lines.
const maxSeriesSize int = 15
for _, scopes := range jd {
for _, jm := range scopes {
if jm.StatisticsSeries != nil || len(jm.Series) <= maxSeriesSize {
continue
}
jm.AddStatisticsSeries()
}
}
nodeScopeRequested := false
for _, scope := range scopes {
if scope == schema.MetricScopeNode {
nodeScopeRequested = true
}
}
if nodeScopeRequested {
jd.AddNodeScope("flops_any")
jd.AddNodeScope("mem_bw")
}
return jd, ttl, size
})
if err, ok := data.(error); ok {
log.Error("Error in returned dataset")
return nil, err
}
return data.(schema.JobData), nil
}
// Used for the jobsFootprint GraphQL-Query. TODO: Rename/Generalize.
func LoadAverages(
job *schema.Job,
metrics []string,
data [][]schema.Float,
ctx context.Context,
) error {
if job.State != schema.JobStateRunning && !config.Keys.DisableArchive {
return archive.LoadAveragesFromArchive(job, metrics, data) // #166 change also here?
}
repo, err := metricdata.GetMetricDataRepo(job.Cluster)
if err != nil {
return fmt.Errorf("METRICDATA/METRICDATA > no metric data repository configured for '%s'", job.Cluster)
}
stats, err := repo.LoadStats(job, metrics, ctx) // #166 how to handle stats for acc normalizazion?
if err != nil {
log.Errorf("Error while loading statistics for job %v (User %v, Project %v)", job.JobID, job.User, job.Project)
return err
}
for i, m := range metrics {
nodes, ok := stats[m]
if !ok {
data[i] = append(data[i], schema.NaN)
continue
}
sum := 0.0
for _, node := range nodes {
sum += node.Avg
}
data[i] = append(data[i], schema.Float(sum))
}
return nil
}
// Used for the node/system view. Returns a map of nodes to a map of metrics.
func LoadNodeData(
cluster string,
metrics, nodes []string,
scopes []schema.MetricScope,
from, to time.Time,
ctx context.Context,
) (map[string]map[string][]*schema.JobMetric, error) {
repo, err := metricdata.GetMetricDataRepo(cluster)
if err != nil {
return nil, fmt.Errorf("METRICDATA/METRICDATA > no metric data repository configured for '%s'", cluster)
}
if metrics == nil {
for _, m := range archive.GetCluster(cluster).MetricConfig {
metrics = append(metrics, m.Name)
}
}
data, err := repo.LoadNodeData(cluster, metrics, nodes, scopes, from, to, ctx)
if err != nil {
if len(data) != 0 {
log.Warnf("partial error: %s", err.Error())
} else {
log.Error("Error while loading node data from metric repository")
return nil, err
}
}
if data == nil {
return nil, fmt.Errorf("METRICDATA/METRICDATA > the metric data repository for '%s' does not support this query", cluster)
}
return data, nil
}

288
internal/metricdata/metricdata.go
View File

@ -8,13 +8,10 @@ import (
"context"
"encoding/json"
"fmt"
"math"
"time"
"github.com/ClusterCockpit/cc-backend/internal/config"
"github.com/ClusterCockpit/cc-backend/pkg/archive"
"github.com/ClusterCockpit/cc-backend/pkg/log"
"github.com/ClusterCockpit/cc-backend/pkg/lrucache"
"github.com/ClusterCockpit/cc-backend/pkg/schema"
)
@ -35,10 +32,7 @@ type MetricDataRepository interface {
var metricDataRepos map[string]MetricDataRepository = map[string]MetricDataRepository{}
var useArchive bool
func Init(disableArchive bool) error {
useArchive = !disableArchive
func Init() error {
for _, cluster := range config.Keys.Clusters {
if cluster.MetricDataRepository != nil {
var kind struct {
@ -73,283 +67,13 @@ func Init(disableArchive bool) error {
return nil
}
var cache *lrucache.Cache = lrucache.New(128 * 1024 * 1024)
// Fetches the metric data for a job.
func LoadData(job *schema.Job,
metrics []string,
scopes []schema.MetricScope,
ctx context.Context,
) (schema.JobData, error) {
data := cache.Get(cacheKey(job, metrics, scopes), func() (_ interface{}, ttl time.Duration, size int) {
var jd schema.JobData
var err error
if job.State == schema.JobStateRunning ||
job.MonitoringStatus == schema.MonitoringStatusRunningOrArchiving ||
!useArchive {
repo, ok := metricDataRepos[job.Cluster]
if !ok {
return fmt.Errorf("METRICDATA/METRICDATA > no metric data repository configured for '%s'", job.Cluster), 0, 0
}
if scopes == nil {
scopes = append(scopes, schema.MetricScopeNode)
}
if metrics == nil {
cluster := archive.GetCluster(job.Cluster)
for _, mc := range cluster.MetricConfig {
metrics = append(metrics, mc.Name)
}
}
jd, err = repo.LoadData(job, metrics, scopes, ctx)
if err != nil {
if len(jd) != 0 {
log.Warnf("partial error: %s", err.Error())
// return err, 0, 0 // Reactivating will block archiving on one partial error
} else {
log.Error("Error while loading job data from metric repository")
return err, 0, 0
}
}
size = jd.Size()
} else {
jd, err = archive.GetHandle().LoadJobData(job)
if err != nil {
log.Error("Error while loading job data from archive")
return err, 0, 0
}
// Avoid sending unrequested data to the client:
if metrics != nil || scopes != nil {
if metrics == nil {
metrics = make([]string, 0, len(jd))
for k := range jd {
metrics = append(metrics, k)
}
}
res := schema.JobData{}
for _, metric := range metrics {
if perscope, ok := jd[metric]; ok {
if len(perscope) > 1 {
subset := make(map[schema.MetricScope]*schema.JobMetric)
for _, scope := range scopes {
if jm, ok := perscope[scope]; ok {
subset[scope] = jm
}
}
if len(subset) > 0 {
perscope = subset
}
}
res[metric] = perscope
}
}
jd = res
}
size = jd.Size()
}
ttl = 5 * time.Hour
if job.State == schema.JobStateRunning {
ttl = 2 * time.Minute
}
prepareJobData(jd, scopes)
return jd, ttl, size
})
if err, ok := data.(error); ok {
log.Error("Error in returned dataset")
return nil, err
}
return data.(schema.JobData), nil
}
// Used for the jobsFootprint GraphQL-Query. TODO: Rename/Generalize.
func LoadAverages(
job *schema.Job,
metrics []string,
data [][]schema.Float,
ctx context.Context,
) error {
if job.State != schema.JobStateRunning && useArchive {
return archive.LoadAveragesFromArchive(job, metrics, data) // #166 change also here?
}
repo, ok := metricDataRepos[job.Cluster]
if !ok {
return fmt.Errorf("METRICDATA/METRICDATA > no metric data repository configured for '%s'", job.Cluster)
}
stats, err := repo.LoadStats(job, metrics, ctx) // #166 how to handle stats for acc normalizazion?
if err != nil {
log.Errorf("Error while loading statistics for job %v (User %v, Project %v)", job.JobID, job.User, job.Project)
return err
}
for i, m := range metrics {
nodes, ok := stats[m]
if !ok {
data[i] = append(data[i], schema.NaN)
continue
}
sum := 0.0
for _, node := range nodes {
sum += node.Avg
}
data[i] = append(data[i], schema.Float(sum))
}
return nil
}
// Used for the node/system view. Returns a map of nodes to a map of metrics.
func LoadNodeData(
cluster string,
metrics, nodes []string,
scopes []schema.MetricScope,
from, to time.Time,
ctx context.Context,
) (map[string]map[string][]*schema.JobMetric, error) {
func GetMetricDataRepo(cluster string) (MetricDataRepository, error) {
var err error
repo, ok := metricDataRepos[cluster]
if !ok {
return nil, fmt.Errorf("METRICDATA/METRICDATA > no metric data repository configured for '%s'", cluster)
err = fmt.Errorf("METRICDATA/METRICDATA > no metric data repository configured for '%s'", cluster)
}
if metrics == nil {
for _, m := range archive.GetCluster(cluster).MetricConfig {
metrics = append(metrics, m.Name)
}
}
data, err := repo.LoadNodeData(cluster, metrics, nodes, scopes, from, to, ctx)
if err != nil {
if len(data) != 0 {
log.Warnf("partial error: %s", err.Error())
} else {
log.Error("Error while loading node data from metric repository")
return nil, err
}
}
if data == nil {
return nil, fmt.Errorf("METRICDATA/METRICDATA > the metric data repository for '%s' does not support this query", cluster)
}
return data, nil
}
func cacheKey(
job *schema.Job,
metrics []string,
scopes []schema.MetricScope,
) string {
// Duration and StartTime do not need to be in the cache key as StartTime is less unique than
// job.ID and the TTL of the cache entry makes sure it does not stay there forever.
return fmt.Sprintf("%d(%s):[%v],[%v]",
job.ID, job.State, metrics, scopes)
}
// For /monitoring/job/<job> and some other places, flops_any and mem_bw need
// to be available at the scope 'node'. If a job has a lot of nodes,
// statisticsSeries should be available so that a min/median/max Graph can be
// used instead of a lot of single lines.
func prepareJobData(
jobData schema.JobData,
scopes []schema.MetricScope,
) {
const maxSeriesSize int = 15
for _, scopes := range jobData {
for _, jm := range scopes {
if jm.StatisticsSeries != nil || len(jm.Series) <= maxSeriesSize {
continue
}
jm.AddStatisticsSeries()
}
}
nodeScopeRequested := false
for _, scope := range scopes {
if scope == schema.MetricScopeNode {
nodeScopeRequested = true
}
}
if nodeScopeRequested {
jobData.AddNodeScope("flops_any")
jobData.AddNodeScope("mem_bw")
}
}
// Writes a running job to the job-archive
func ArchiveJob(job *schema.Job, ctx context.Context) (*schema.JobMeta, error) {
allMetrics := make([]string, 0)
metricConfigs := archive.GetCluster(job.Cluster).MetricConfig
for _, mc := range metricConfigs {
allMetrics = append(allMetrics, mc.Name)
}
// TODO: Talk about this! What resolutions to store data at...
scopes := []schema.MetricScope{schema.MetricScopeNode}
if job.NumNodes <= 8 {
scopes = append(scopes, schema.MetricScopeCore)
}
jobData, err := LoadData(job, allMetrics, scopes, ctx)
if err != nil {
log.Error("Error wile loading job data for archiving")
return nil, err
}
jobMeta := &schema.JobMeta{
BaseJob: job.BaseJob,
StartTime: job.StartTime.Unix(),
Statistics: make(map[string]schema.JobStatistics),
}
for metric, data := range jobData {
avg, min, max := 0.0, math.MaxFloat32, -math.MaxFloat32
nodeData, ok := data["node"]
if !ok {
// TODO/FIXME: Calc average for non-node metrics as well!
continue
}
for _, series := range nodeData.Series {
avg += series.Statistics.Avg
min = math.Min(min, series.Statistics.Min)
max = math.Max(max, series.Statistics.Max)
}
jobMeta.Statistics[metric] = schema.JobStatistics{
Unit: schema.Unit{
Prefix: archive.GetMetricConfig(job.Cluster, metric).Unit.Prefix,
Base: archive.GetMetricConfig(job.Cluster, metric).Unit.Base,
},
Avg: avg / float64(job.NumNodes),
Min: min,
Max: max,
}
}
// If the file based archive is disabled,
// only return the JobMeta structure as the
// statistics in there are needed.
if !useArchive {
return jobMeta, nil
}
return jobMeta, archive.GetHandle().ImportJob(jobMeta, &jobData)
return repo, err
}

112
internal/repository/archiveWorker.go
View File

@ -1,112 +0,0 @@
// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.
// All rights reserved.
// Use of this source code is governed by a MIT-style
// license that can be found in the LICENSE file.
package repository
import (
"context"
"encoding/json"
"time"
"github.com/ClusterCockpit/cc-backend/internal/metricdata"
"github.com/ClusterCockpit/cc-backend/pkg/archive"
"github.com/ClusterCockpit/cc-backend/pkg/log"
"github.com/ClusterCockpit/cc-backend/pkg/schema"
sq "github.com/Masterminds/squirrel"
)
// Archiving worker thread
func (r *JobRepository) archivingWorker() {
for {
select {
case job, ok := <-r.archiveChannel:
if !ok {
break
}
start := time.Now()
// not using meta data, called to load JobMeta into Cache?
// will fail if job meta not in repository
if _, err := r.FetchMetadata(job); err != nil {
log.Errorf("archiving job (dbid: %d) failed at check metadata step: %s", job.ID, err.Error())
r.UpdateMonitoringStatus(job.ID, schema.MonitoringStatusArchivingFailed)
continue
}
// metricdata.ArchiveJob will fetch all the data from a MetricDataRepository and push into configured archive backend
// TODO: Maybe use context with cancel/timeout here
jobMeta, err := metricdata.ArchiveJob(job, context.Background())
if err != nil {
log.Errorf("archiving job (dbid: %d) failed at archiving job step: %s", job.ID, err.Error())
r.UpdateMonitoringStatus(job.ID, schema.MonitoringStatusArchivingFailed)
continue
}
// Update the jobs database entry one last time:
if err := r.MarkArchived(jobMeta, schema.MonitoringStatusArchivingSuccessful); err != nil {
log.Errorf("archiving job (dbid: %d) failed at marking archived step: %s", job.ID, err.Error())
continue
}
log.Debugf("archiving job %d took %s", job.JobID, time.Since(start))
log.Printf("archiving job (dbid: %d) successful", job.ID)
r.archivePending.Done()
}
}
}
// Stop updates the job with the database id jobId using the provided arguments.
func (r *JobRepository) MarkArchived(
jobMeta *schema.JobMeta,
monitoringStatus int32,
) error {
stmt := sq.Update("job").
Set("monitoring_status", monitoringStatus).
Where("job.id = ?", jobMeta.JobID)
sc, err := archive.GetSubCluster(jobMeta.Cluster, jobMeta.SubCluster)
if err != nil {
log.Errorf("cannot get subcluster: %s", err.Error())
return err
}
footprint := make(map[string]float64)
for _, fp := range sc.Footprint {
footprint[fp] = LoadJobStat(jobMeta, fp)
}
var rawFootprint []byte
if rawFootprint, err = json.Marshal(footprint); err != nil {
log.Warnf("Error while marshaling footprint for job, DB ID '%v'", jobMeta.ID)
return err
}
stmt = stmt.Set("footprint", rawFootprint)
if _, err := stmt.RunWith(r.stmtCache).Exec(); err != nil {
log.Warn("Error while marking job as archived")
return err
}
return nil
}
func (r *JobRepository) UpdateMonitoringStatus(job int64, monitoringStatus int32) (err error) {
stmt := sq.Update("job").
Set("monitoring_status", monitoringStatus).
Where("job.id = ?", job)
_, err = stmt.RunWith(r.stmtCache).Exec()
return
}
// Trigger async archiving
func (r *JobRepository) TriggerArchiving(job *schema.Job) {
r.archivePending.Add(1)
r.archiveChannel <- job
}
// Wait for background thread to finish pending archiving operations
func (r *JobRepository) WaitForArchiving() {
// close channel and wait for worker to process remaining jobs
r.archivePending.Wait()
}

159
internal/repository/job.go
View File

@ -28,12 +28,10 @@ var (
)
type JobRepository struct {
DB *sqlx.DB
stmtCache *sq.StmtCache
cache *lrucache.Cache
archiveChannel chan *schema.Job
driver string
archivePending sync.WaitGroup
DB *sqlx.DB
stmtCache *sq.StmtCache
cache *lrucache.Cache
driver string
}
func GetJobRepository() *JobRepository {
@ -44,12 +42,9 @@ func GetJobRepository() *JobRepository {
DB: db.DB,
driver: db.Driver,
stmtCache: sq.NewStmtCache(db.DB),
cache: lrucache.New(1024 * 1024),
archiveChannel: make(chan *schema.Job, 128),
stmtCache: sq.NewStmtCache(db.DB),
cache: lrucache.New(1024 * 1024),
}
// start archiving worker
go jobRepoInstance.archivingWorker()
})
return jobRepoInstance
}
@ -210,7 +205,10 @@ func (r *JobRepository) UpdateMetadata(job *schema.Job, key, val string) (err er
return err
}
if _, err = sq.Update("job").Set("meta_data", job.RawMetaData).Where("job.id = ?", job.ID).RunWith(r.stmtCache).Exec(); err != nil {
if _, err = sq.Update("job").
Set("meta_data", job.RawMetaData).
Where("job.id = ?", job.ID).
RunWith(r.stmtCache).Exec(); err != nil {
log.Warnf("Error while updating metadata for job, DB ID '%v'", job.ID)
return err
}
@ -458,6 +456,46 @@ func (r *JobRepository) StopJobsExceedingWalltimeBy(seconds int) error {
return nil
}
func (r *JobRepository) FindRunningJobs(cluster string) ([]*schema.Job, error) {
query := sq.Select(jobColumns...).From("job").
Where(fmt.Sprintf("job.cluster = '%s'", cluster)).
Where("job.job_state = 'running'").
Where("job.duration>600")
rows, err := query.RunWith(r.stmtCache).Query()
if err != nil {
log.Error("Error while running query")
return nil, err
}
jobs := make([]*schema.Job, 0, 50)
for rows.Next() {
job, err := scanJob(rows)
if err != nil {
rows.Close()
log.Warn("Error while scanning rows")
return nil, err
}
jobs = append(jobs, job)
}
log.Infof("Return job count %d", len(jobs))
return jobs, nil
}
func (r *JobRepository) UpdateDuration() error {
stmnt := sq.Update("job").
Set("duration", sq.Expr("? - job.start_time", time.Now().Unix())).
Where("job_state = 'running'")
_, err := stmnt.RunWith(r.stmtCache).Exec()
if err != nil {
return err
}
return nil
}
func (r *JobRepository) FindJobsBetween(startTimeBegin int64, startTimeEnd int64) ([]*schema.Job, error) {
var query sq.SelectBuilder
@ -495,3 +533,100 @@ func (r *JobRepository) FindJobsBetween(startTimeBegin int64, startTimeEnd int64
log.Infof("Return job count %d", len(jobs))
return jobs, nil
}
func (r *JobRepository) UpdateMonitoringStatus(job int64, monitoringStatus int32) (err error) {
stmt := sq.Update("job").
Set("monitoring_status", monitoringStatus).
Where("job.id = ?", job)
_, err = stmt.RunWith(r.stmtCache).Exec()
return
}
func (r *JobRepository) Execute(stmt sq.UpdateBuilder) error {
if _, err := stmt.RunWith(r.stmtCache).Exec(); err != nil {
return err
}
return nil
}
func (r *JobRepository) MarkArchived(
stmt sq.UpdateBuilder,
monitoringStatus int32,
) sq.UpdateBuilder {
return stmt.Set("monitoring_status", monitoringStatus)
}
func (r *JobRepository) UpdateEnergy(
stmt sq.UpdateBuilder,
jobMeta *schema.JobMeta,
) (sq.UpdateBuilder, error) {
sc, err := archive.GetSubCluster(jobMeta.Cluster, jobMeta.SubCluster)
if err != nil {
log.Errorf("cannot get subcluster: %s", err.Error())
return stmt, err
}
energyFootprint := make(map[string]float64)
var totalEnergy float64
var energy float64
for _, fp := range sc.EnergyFootprint {
if i, err := archive.MetricIndex(sc.MetricConfig, fp); err != nil {
// FIXME: Check for unit conversions
if sc.MetricConfig[i].Energy == "power" {
energy = LoadJobStat(jobMeta, fp, "avg") * float64(jobMeta.Duration)
} else if sc.MetricConfig[i].Energy == "energy" {
// This assumes the metric is of aggregation type sum
}
}
energyFootprint[fp] = energy
totalEnergy += energy
}
var rawFootprint []byte
if rawFootprint, err = json.Marshal(energyFootprint); err != nil {
log.Warnf("Error while marshaling energy footprint for job, DB ID '%v'", jobMeta.ID)
return stmt, err
}
stmt.Set("energy_footprint", rawFootprint).
Set("energy", totalEnergy)
return stmt, nil
}
func (r *JobRepository) UpdateFootprint(
stmt sq.UpdateBuilder,
jobMeta *schema.JobMeta,
) (sq.UpdateBuilder, error) {
sc, err := archive.GetSubCluster(jobMeta.Cluster, jobMeta.SubCluster)
if err != nil {
log.Errorf("cannot get subcluster: %s", err.Error())
return stmt, err
}
footprint := make(map[string]float64)
for _, fp := range sc.Footprint {
statType := "avg"
if i, err := archive.MetricIndex(sc.MetricConfig, fp); err != nil {
statType = sc.MetricConfig[i].Footprint
}
name := fmt.Sprintf("%s_%s", fp, statType)
footprint[fp] = LoadJobStat(jobMeta, name, statType)
}
var rawFootprint []byte
if rawFootprint, err = json.Marshal(footprint); err != nil {
log.Warnf("Error while marshaling footprint for job, DB ID '%v'", jobMeta.ID)
return stmt, err
}
stmt.Set("footprint", rawFootprint)
return stmt, nil
}

21
internal/repository/migrations/sqlite3/08_add-footprint.down.sql
View File

@ -0,0 +1,21 @@
ALTER TABLE job DROP energy;
ALTER TABLE job DROP energy_footprint;
ALTER TABLE job ADD COLUMN flops_any_avg;
ALTER TABLE job ADD COLUMN mem_bw_avg;
ALTER TABLE job ADD COLUMN mem_used_max;
ALTER TABLE job ADD COLUMN load_avg;
ALTER TABLE job ADD COLUMN net_bw_avg;
ALTER TABLE job ADD COLUMN net_data_vol_total;
ALTER TABLE job ADD COLUMN file_bw_avg;
ALTER TABLE job ADD COLUMN file_data_vol_total;
UPDATE job SET flops_any_avg = json_extract(footprint, '$.flops_any_avg');
UPDATE job SET mem_bw_avg = json_extract(footprint, '$.mem_bw_avg');
UPDATE job SET mem_used_max = json_extract(footprint, '$.mem_used_max');
UPDATE job SET load_avg = json_extract(footprint, '$.cpu_load_avg');
UPDATE job SET net_bw_avg = json_extract(footprint, '$.net_bw_avg');
UPDATE job SET net_data_vol_total = json_extract(footprint, '$.net_data_vol_total');
UPDATE job SET file_bw_avg = json_extract(footprint, '$.file_bw_avg');
UPDATE job SET file_data_vol_total = json_extract(footprint, '$.file_data_vol_total');
ALTER TABLE job DROP footprint;

62
internal/repository/migrations/sqlite3/08_add-footprint.up.sql
View File

@ -1,12 +1,74 @@
DROP INDEX job_stats;
DROP INDEX job_by_user;
DROP INDEX job_by_starttime;
DROP INDEX job_by_job_id;
DROP INDEX job_list;
DROP INDEX job_list_user;
DROP INDEX job_list_users;
DROP INDEX job_list_users_start;
ALTER TABLE job ADD COLUMN energy REAL NOT NULL DEFAULT 0.0;
ALTER TABLE job ADD COLUMN energy_footprint TEXT DEFAULT NULL;
ALTER TABLE job ADD COLUMN footprint TEXT DEFAULT NULL;
UPDATE job SET footprint = '{"flops_any_avg": 0.0}';
UPDATE job SET footprint = json_replace(footprint, '$.flops_any_avg', job.flops_any_avg);
UPDATE job SET footprint = json_insert(footprint, '$.mem_bw_avg', job.mem_bw_avg);
UPDATE job SET footprint = json_insert(footprint, '$.mem_used_max', job.mem_used_max);
UPDATE job SET footprint = json_insert(footprint, '$.cpu_load_avg', job.load_avg);
UPDATE job SET footprint = json_insert(footprint, '$.net_bw_avg', job.net_bw_avg) WHERE job.net_bw_avg != 0;
UPDATE job SET footprint = json_insert(footprint, '$.net_data_vol_total', job.net_data_vol_total) WHERE job.net_data_vol_total != 0;
UPDATE job SET footprint = json_insert(footprint, '$.file_bw_avg', job.file_bw_avg) WHERE job.file_bw_avg != 0;
UPDATE job SET footprint = json_insert(footprint, '$.file_data_vol_total', job.file_data_vol_total) WHERE job.file_data_vol_total != 0;
ALTER TABLE job DROP flops_any_avg;
ALTER TABLE job DROP mem_bw_avg;
ALTER TABLE job DROP mem_used_max;
ALTER TABLE job DROP load_avg;
ALTER TABLE job DROP net_bw_avg;
ALTER TABLE job DROP net_data_vol_total;
ALTER TABLE job DROP file_bw_avg;
ALTER TABLE job DROP file_data_vol_total;
CREATE INDEX IF NOT EXISTS jobs_cluster ON job (cluster);
CREATE INDEX IF NOT EXISTS jobs_cluster_starttime ON job (cluster, start_time);
CREATE INDEX IF NOT EXISTS jobs_cluster_user ON job (cluster, user);
CREATE INDEX IF NOT EXISTS jobs_cluster_project ON job (cluster, project);
CREATE INDEX IF NOT EXISTS jobs_cluster_subcluster ON job (cluster, subcluster);
CREATE INDEX IF NOT EXISTS jobs_cluster_partition ON job (cluster, partition);
CREATE INDEX IF NOT EXISTS jobs_cluster_partition_starttime ON job (cluster, partition, start_time);
CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate ON job (cluster, partition, job_state);
CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_user ON job (cluster, partition, job_state, user);
CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_project ON job (cluster, partition, job_state, project);
CREATE INDEX IF NOT EXISTS jobs_cluster_partition_jobstate_starttime ON job (cluster, partition, job_state, start_time);
CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate ON job (cluster, job_state);
CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_starttime ON job (cluster, job_state, start_time);
CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_user ON job (cluster, job_state, user);
CREATE INDEX IF NOT EXISTS jobs_cluster_jobstate_project ON job (cluster, job_state, project);
CREATE INDEX IF NOT EXISTS jobs_user ON job (user);
CREATE INDEX IF NOT EXISTS jobs_user_starttime ON job (user, start_time);
CREATE INDEX IF NOT EXISTS jobs_project ON job (project);
CREATE INDEX IF NOT EXISTS jobs_project_starttime ON job (project, start_time);
CREATE INDEX IF NOT EXISTS jobs_project_user ON job (project, user);
CREATE INDEX IF NOT EXISTS jobs_jobstate ON job (job_state);
CREATE INDEX IF NOT EXISTS jobs_jobstate_user ON job (job_state, user);
CREATE INDEX IF NOT EXISTS jobs_jobstate_project ON job (job_state, project);
CREATE INDEX IF NOT EXISTS jobs_jobstate_cluster ON job (job_state, cluster);
CREATE INDEX IF NOT EXISTS jobs_jobstate_starttime ON job (job_state, start_time);
CREATE INDEX IF NOT EXISTS jobs_arrayjobid_starttime ON job (array_job_id, start_time);
CREATE INDEX IF NOT EXISTS jobs_cluster_arrayjobid_starttime ON job (cluster, array_job_id, start_time);
CREATE INDEX IF NOT EXISTS jobs_starttime ON job (start_time);
CREATE INDEX IF NOT EXISTS jobs_duration ON job (duration);
CREATE INDEX IF NOT EXISTS jobs_numnodes ON job (num_nodes);
CREATE INDEX IF NOT EXISTS jobs_numhwthreads ON job (num_hwthreads);
CREATE INDEX IF NOT EXISTS jobs_numacc ON job (num_acc);
PRAGMA optimize;

18
internal/repository/stats.go
View File

@ -13,7 +13,7 @@ import (
"github.com/ClusterCockpit/cc-backend/internal/config"
"github.com/ClusterCockpit/cc-backend/internal/graph/model"
"github.com/ClusterCockpit/cc-backend/internal/metricdata"
"github.com/ClusterCockpit/cc-backend/internal/metricDataDispatcher"
"github.com/ClusterCockpit/cc-backend/pkg/archive"
"github.com/ClusterCockpit/cc-backend/pkg/log"
"github.com/ClusterCockpit/cc-backend/pkg/schema"
@ -286,13 +286,17 @@ func (r *JobRepository) JobsStats(
return stats, nil
}
// FIXME: Make generic
func LoadJobStat(job *schema.JobMeta, metric string) float64 {
func LoadJobStat(job *schema.JobMeta, metric string, statType string) float64 {
if stats, ok := job.Statistics[metric]; ok {
if metric == "mem_used" {
return stats.Max
} else {
switch statType {
case "avg":
return stats.Avg
case "max":
return stats.Max
case "min":
return stats.Min
default:
log.Errorf("Unknown stat type %s", statType)
}
}
@ -691,7 +695,7 @@ func (r *JobRepository) runningJobsMetricStatisticsHistogram(
continue
}
if err := metricdata.LoadAverages(job, metrics, avgs, ctx); err != nil {
if err := metricDataDispatcher.LoadAverages(job, metrics, avgs, ctx); err != nil {
log.Errorf("Error while loading averages for histogram: %s", err)
return nil
}

46
internal/repository/transaction.go
View File

@ -6,7 +6,6 @@ package repository
import (
"github.com/ClusterCockpit/cc-backend/pkg/log"
"github.com/ClusterCockpit/cc-backend/pkg/schema"
"github.com/jmoiron/sqlx"
)
@ -18,20 +17,12 @@ type Transaction struct {
func (r *JobRepository) TransactionInit() (*Transaction, error) {
var err error
t := new(Transaction)
// Inserts are bundled into transactions because in sqlite,
// that speeds up inserts A LOT.
t.tx, err = r.DB.Beginx()
if err != nil {
log.Warn("Error while bundling transactions")
return nil, err
}
t.stmt, err = t.tx.PrepareNamed(NamedJobInsert)
if err != nil {
log.Warn("Error while preparing namedJobInsert")
return nil, err
}
return t, nil
}
@ -50,7 +41,6 @@ func (r *JobRepository) TransactionCommit(t *Transaction) error {
return err
}
t.stmt = t.tx.NamedStmt(t.stmt)
return nil
}
@ -63,10 +53,14 @@ func (r *JobRepository) TransactionEnd(t *Transaction) error {
return nil
}
func (r *JobRepository) TransactionAdd(t *Transaction, job schema.Job) (int64, error) {
res, err := t.stmt.Exec(job)
func (r *JobRepository) TransactionAddNamed(
t *Transaction,
query string,
args ...interface{},
) (int64, error) {
res, err := t.tx.NamedExec(query, args)
if err != nil {
log.Errorf("repository initDB(): %v", err)
log.Errorf("Named Exec failed: %v", err)
return 0, err
}
@ -79,26 +73,14 @@ func (r *JobRepository) TransactionAdd(t *Transaction, job schema.Job) (int64, e
return id, nil
}
func (r *JobRepository) TransactionAddTag(t *Transaction, tag *schema.Tag) (int64, error) {
res, err := t.tx.Exec(`INSERT INTO tag (tag_name, tag_type) VALUES (?, ?)`, tag.Name, tag.Type)
func (r *JobRepository) TransactionAdd(t *Transaction, query string, args ...interface{}) (int64, error) {
res := t.tx.MustExec(query, args)
id, err := res.LastInsertId()
if err != nil {
log.Errorf("Error while inserting tag into tag table: %v (Type %v)", tag.Name, tag.Type)
return 0, err
}
tagId, err := res.LastInsertId()
if err != nil {
log.Warn("Error while getting last insert ID")
log.Errorf("repository initDB(): %v", err)
return 0, err
}
return tagId, nil
}
func (r *JobRepository) TransactionSetTag(t *Transaction, jobId int64, tagId int64) error {
if _, err := t.tx.Exec(`INSERT INTO jobtag (job_id, tag_id) VALUES (?, ?)`, jobId, tagId); err != nil {
log.Errorf("Error while inserting jobtag into jobtag table: %v (TagID %v)", jobId, tagId)
return err
}
return nil
return id, nil
}

8
internal/taskManager/footprintService.go
View File

@ -1,8 +0,0 @@
// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.
// All rights reserved.
// Use of this source code is governed by a MIT-style
// license that can be found in the LICENSE file.
package taskManager
func registerFootprintWorker() {
}

3
internal/taskManager/taskManager.go
View File

@ -79,6 +79,9 @@ func Start() {
RegisterLdapSyncService(lc.SyncInterval)
}
RegisterFootprintWorker()
RegisterUpdateDurationWorker()
s.Start()
}

26
internal/taskManager/updateDurationService.go Normal file
View File

@ -0,0 +1,26 @@
// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.
// All rights reserved.
// Use of this source code is governed by a MIT-style
// license that can be found in the LICENSE file.
package taskManager
import (
"time"
"github.com/ClusterCockpit/cc-backend/pkg/log"
"github.com/go-co-op/gocron/v2"
)
func RegisterUpdateDurationWorker() {
log.Info("Register duration update service")
d, _ := time.ParseDuration("5m")
s.NewJob(gocron.DurationJob(d),
gocron.NewTask(
func() {
start := time.Now()
log.Printf("Update duration started at %s", start.Format(time.RFC3339))
jobRepo.UpdateDuration()
log.Printf("Update duration is done and took %s", time.Since(start))
}))
}

117
internal/taskManager/updateFootprintService.go Normal file
View File

@ -0,0 +1,117 @@
// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.
// All rights reserved.
// Use of this source code is governed by a MIT-style
// license that can be found in the LICENSE file.
package taskManager
import (
"context"
"math"
"time"
"github.com/ClusterCockpit/cc-backend/internal/metricDataDispatcher"
"github.com/ClusterCockpit/cc-backend/pkg/archive"
"github.com/ClusterCockpit/cc-backend/pkg/log"
"github.com/ClusterCockpit/cc-backend/pkg/schema"
sq "github.com/Masterminds/squirrel"
"github.com/go-co-op/gocron/v2"
)
func RegisterFootprintWorker() {
log.Info("Register Footprint Update service")
d, _ := time.ParseDuration("10m")
s.NewJob(gocron.DurationJob(d),
gocron.NewTask(
func() {
s := time.Now()
log.Printf("Update Footprints started at %s", s.Format(time.RFC3339))
t, err := jobRepo.TransactionInit()
if err != nil {
log.Errorf("Failed TransactionInit %v", err)
}
for _, cluster := range archive.Clusters {
jobs, err := jobRepo.FindRunningJobs(cluster.Name)
if err != nil {
continue
}
allMetrics := make([]string, 0)
metricConfigs := archive.GetCluster(cluster.Name).MetricConfig
for _, mc := range metricConfigs {
allMetrics = append(allMetrics, mc.Name)
}
scopes := []schema.MetricScope{schema.MetricScopeNode}
scopes = append(scopes, schema.MetricScopeCore)
scopes = append(scopes, schema.MetricScopeAccelerator)
for _, job := range jobs {
jobData, err := metricDataDispatcher.LoadData(job, allMetrics, scopes, context.Background())
if err != nil {
log.Error("Error wile loading job data for footprint update")
continue
}
jobMeta := &schema.JobMeta{
BaseJob: job.BaseJob,
StartTime: job.StartTime.Unix(),
Statistics: make(map[string]schema.JobStatistics),
}
for metric, data := range jobData {
avg, min, max := 0.0, math.MaxFloat32, -math.MaxFloat32
nodeData, ok := data["node"]
if !ok {
// This should never happen ?
continue
}
for _, series := range nodeData.Series {
avg += series.Statistics.Avg
min = math.Min(min, series.Statistics.Min)
max = math.Max(max, series.Statistics.Max)
}
jobMeta.Statistics[metric] = schema.JobStatistics{
Unit: schema.Unit{
Prefix: archive.GetMetricConfig(job.Cluster, metric).Unit.Prefix,
Base: archive.GetMetricConfig(job.Cluster, metric).Unit.Base,
},
Avg: avg / float64(job.NumNodes),
Min: min,
Max: max,
}
}
stmt := sq.Update("job").Where("job.id = ?", job.ID)
stmt, err = jobRepo.UpdateFootprint(stmt, jobMeta)
if err != nil {
log.Errorf("Update job (dbid: %d) failed at update Footprint step: %s", job.ID, err.Error())
continue
}
stmt, err = jobRepo.UpdateEnergy(stmt, jobMeta)
if err != nil {
log.Errorf("Update job (dbid: %d) failed at update Energy step: %s", job.ID, err.Error())
continue
}
query, args, err := stmt.ToSql()
if err != nil {
log.Errorf("Failed in ToSQL conversion %v", err)
continue
}
jobRepo.TransactionAdd(t, query, args)
// if err := jobRepo.Execute(stmt); err != nil {
// log.Errorf("Update job (dbid: %d) failed at db execute: %s", job.ID, err.Error())
// continue
// }
}
jobRepo.TransactionCommit(t)
}
jobRepo.TransactionEnd(t)
log.Printf("Update Footprints is done and took %s", time.Since(s))
}))
}

14
pkg/archive/clusterConfig.go
View File

@ -88,7 +88,7 @@ func initClusterConfig() error {
sc.Footprint = append(sc.Footprint, newMetric.Name)
ml.Footprint = newMetric.Footprint
}
if newMetric.Energy {
if newMetric.Energy != "" {
sc.EnergyFootprint = append(sc.EnergyFootprint, newMetric.Name)
}
}
@ -99,7 +99,7 @@ func initClusterConfig() error {
if newMetric.Footprint != "" {
sc.Footprint = append(sc.Footprint, newMetric.Name)
}
if newMetric.Energy {
if newMetric.Energy != "" {
sc.EnergyFootprint = append(sc.EnergyFootprint, newMetric.Name)
}
}
@ -221,3 +221,13 @@ func GetSubClusterByNode(cluster, hostname string) (string, error) {
return "", fmt.Errorf("ARCHIVE/CLUSTERCONFIG > no subcluster found for cluster %v and host %v", cluster, hostname)
}
func MetricIndex(mc []schema.MetricConfig, name string) (int, error) {
for i, m := range mc {
if m.Name == name {
return i, nil
}
}
return 0, fmt.Errorf("Unknown metric name %s", name)
}

6
pkg/archive/testdata/archive/alex/cluster.json vendored
View File

@ -94,7 +94,7 @@
},
"scope": "hwthread",
"aggregation": "sum",
"energy": true,
"energy": "power",
"timestep": 60,
"peak": 500,
"normal": 250,
@ -136,7 +136,7 @@
},
"scope": "accelerator",
"aggregation": "sum",
"energy": true,
"energy": "power",
"timestep": 60,
"peak": 400,
"normal": 200,
@ -190,7 +190,7 @@
},
"scope": "socket",
"aggregation": "sum",
"energy": true,
"energy": "power",
"timestep": 60,
"peak": 500,
"normal": 250,

4
pkg/archive/testdata/archive/fritz/cluster.json vendored
View File

@ -256,7 +256,7 @@
"normal": 250,
"caution": 100,
"alert": 50,
"energy": true
"energy": "power"
},
{
"name": "mem_power",
@ -270,7 +270,7 @@
"normal": 50,
"caution": 20,
"alert": 10,
"energy": true
"energy": "power"
},
{
"name": "ipc",

10
pkg/schema/cluster.go
View File

@ -47,14 +47,14 @@ type SubCluster struct {
type SubClusterConfig struct {
Name string `json:"name"`
Footprint string `json:"footprint,omitempty"`
Peak float64 `json:"peak"`
Normal float64 `json:"normal"`
Caution float64 `json:"caution"`
Alert float64 `json:"alert"`
Footprint string `json:"footprint,omitempty"`
Remove bool `json:"remove"`
LowerIsBetter bool `json:"lowerIsBetter"`
Energy bool `json:"energy"`
Energy string `json:"energy"`
}
type MetricConfig struct {
@ -62,15 +62,15 @@ type MetricConfig struct {
Name string `json:"name"`
Scope MetricScope `json:"scope"`
Aggregation string `json:"aggregation"`
Footprint string `json:"footprint,omitempty"`
SubClusters []*SubClusterConfig `json:"subClusters,omitempty"`
Timestep int `json:"timestep"`
Peak float64 `json:"peak"`
Normal float64 `json:"normal"`
Caution float64 `json:"caution"`
Alert float64 `json:"alert"`
Timestep int `json:"timestep"`
LowerIsBetter bool `json:"lowerIsBetter"`
Footprint string `json:"footprint,omitempty"`
Energy bool `json:"energy"`
Energy string `json:"energy"`
}
type Cluster struct {

2
pkg/schema/job.go
View File

@ -32,7 +32,7 @@ type BaseJob struct {
Footprint map[string]float64 `json:"footprint"`
MetaData map[string]string `json:"metaData"`
ConcurrentJobs JobLinkResultList `json:"concurrentJobs"`
Energy float64 `json:"energy"`
Energy float64 `json:"energy" db:"energy"`
ArrayJobId int64 `json:"arrayJobId,omitempty" db:"array_job_id" example:"123000"`
Walltime int64 `json:"walltime,omitempty" db:"walltime" example:"86400" minimum:"1"`
JobID int64 `json:"jobId" db:"job_id" example:"123000"`

605
pkg/schema/schemas/cluster.schema.json
View File

@ -1,284 +1,327 @@
{
"$schema": "http://json-schema.org/draft/2020-12/schema",
"$id": "embedfs://cluster.schema.json",
"title": "HPC cluster description",
"description": "Meta data information of a HPC cluster",
"type": "object",
"properties": {
"name": {
"description": "The unique identifier of a cluster",
"type": "string"
},
"metricConfig": {
"description": "Metric specifications",
"type": "array",
"items": {
"type": "object",
"properties": {
"name": {
"description": "Metric name",
"type": "string"
},
"unit": {
"description": "Metric unit",
"$ref": "embedfs://unit.schema.json"
},
"scope": {
"description": "Native measurement resolution",
"type": "string"
},
"timestep": {
"description": "Frequency of timeseries points",
"type": "integer"
},
"aggregation": {
"description": "How the metric is aggregated",
"type": "string",
"enum": [
"sum",
"avg"
]
},
"peak": {
"description": "Metric peak threshold (Upper metric limit)",
"type": "number"
},
"normal": {
"description": "Metric normal threshold",
"type": "number"
},
"caution": {
"description": "Metric caution threshold (Suspicious but does not require immediate action)",
"type": "number"
},
"alert": {
"description": "Metric alert threshold (Requires immediate action)",
"type": "number"
},
"subClusters": {
"description": "Array of cluster hardware partition metric thresholds",
"type": "array",
"items": {
"type": "object",
"properties": {
"name": {
"description": "Hardware partition name",
"type": "string"
},
"peak": {
"type": "number"
},
"normal": {
"type": "number"
},
"caution": {
"type": "number"
},
"alert": {
"type": "number"
},
"remove": {
"type": "boolean"
}
},
"required": [
"name"
]
}
}
},
"required": [
"name",
"unit",
"scope",
"timestep",
"aggregation",
"peak",
"normal",
"caution",
"alert"
]
},
"minItems": 1
},
"subClusters": {
"description": "Array of cluster hardware partitions",
"type": "array",
"items": {
"type": "object",
"properties": {
"name": {
"description": "Hardware partition name",
"type": "string"
},
"processorType": {
"description": "Processor type",
"type": "string"
},
"socketsPerNode": {
"description": "Number of sockets per node",
"type": "integer"
},
"coresPerSocket": {
"description": "Number of cores per socket",
"type": "integer"
},
"threadsPerCore": {
"description": "Number of SMT threads per core",
"type": "integer"
},
"flopRateScalar": {
"description": "Theoretical node peak flop rate for scalar code in GFlops/s",
"type": "object",
"properties": {
"unit": {
"description": "Metric unit",
"$ref": "embedfs://unit.schema.json"
},
"value": {
"type": "number"
}
}
},
"flopRateSimd": {
"description": "Theoretical node peak flop rate for SIMD code in GFlops/s",
"type": "object",
"properties": {
"unit": {
"description": "Metric unit",
"$ref": "embedfs://unit.schema.json"
},
"value": {
"type": "number"
}
}
},
"memoryBandwidth": {
"description": "Theoretical node peak memory bandwidth in GB/s",
"type": "object",
"properties": {
"unit": {
"description": "Metric unit",
"$ref": "embedfs://unit.schema.json"
},
"value": {
"type": "number"
}
}
},
"nodes": {
"description": "Node list expression",
"type": "string"
},
"topology": {
"description": "Node topology",
"type": "object",
"properties": {
"node": {
"description": "HwTread lists of node",
"type": "array",
"items": {
"type": "integer"
}
},
"socket": {
"description": "HwTread lists of sockets",
"type": "array",
"items": {
"type": "array",
"items": {
"type": "integer"
}
}
},
"memoryDomain": {
"description": "HwTread lists of memory domains",
"type": "array",
"items": {
"type": "array",
"items": {
"type": "integer"
}
}
},
"die": {
"description": "HwTread lists of dies",
"type": "array",
"items": {
"type": "array",
"items": {
"type": "integer"
}
}
},
"core": {
"description": "HwTread lists of cores",
"type": "array",
"items": {
"type": "array",
"items": {
"type": "integer"
}
}
},
"accelerators": {
"type": "array",
"description": "List of of accelerator devices",
"items": {
"type": "object",
"properties": {
"id": {
"type": "string",
"description": "The unique device id"
},
"type": {
"type": "string",
"description": "The accelerator type",
"enum": [
"Nvidia GPU",
"AMD GPU",
"Intel GPU"
]
},
"model": {
"type": "string",
"description": "The accelerator model"
}
},
"required": [
"id",
"type",
"model"
]
}
}
},
"required": [
"node",
"socket",
"memoryDomain"
]
}
},
"required": [
"name",
"nodes",
"topology",
"processorType",
"socketsPerNode",
"coresPerSocket",
"threadsPerCore",
"flopRateScalar",
"flopRateSimd",
"memoryBandwidth"
]
},
"minItems": 1
}
"$schema": "http://json-schema.org/draft/2020-12/schema",
"$id": "embedfs://cluster.schema.json",
"title": "HPC cluster description",
"description": "Meta data information of a HPC cluster",
"type": "object",
"properties": {
"name": {
"description": "The unique identifier of a cluster",
"type": "string"
},
"required": [
"name",
"metricConfig",
"subClusters"
]
"metricConfig": {
"description": "Metric specifications",
"type": "array",
"items": {
"type": "object",
"properties": {
"name": {
"description": "Metric name",
"type": "string"
},
"unit": {
"description": "Metric unit",
"$ref": "embedfs://unit.schema.json"
},
"scope": {
"description": "Native measurement resolution",
"type": "string"
},
"timestep": {
"description": "Frequency of timeseries points",
"type": "integer"
},
"aggregation": {
"description": "How the metric is aggregated",
"type": "string",
"enum": [
"sum",
"avg"
]
},
"footprint": {
"description": "Is it a footprint metric and what type",
"type": "string",
"enum": [
"avg",
"max",
"min"
]
},
"energy": {
"description": "Is it used to calculate job energy",
"type": "string",
"enum": [
"power",
"energy"
]
},
"lowerIsBetter": {
"description": "Is lower better.",
"type": "boolean"
},
"peak": {
"description": "Metric peak threshold (Upper metric limit)",
"type": "number"
},
"normal": {
"description": "Metric normal threshold",
"type": "number"
},
"caution": {
"description": "Metric caution threshold (Suspicious but does not require immediate action)",
"type": "number"
},
"alert": {
"description": "Metric alert threshold (Requires immediate action)",
"type": "number"
},
"subClusters": {
"description": "Array of cluster hardware partition metric thresholds",
"type": "array",
"items": {
"type": "object",
"properties": {
"name": {
"description": "Hardware partition name",
"type": "string"
},
"footprint": {
"description": "Is it a footprint metric and what type. Overwrite global setting",
"type": "string",
"enum": [
"avg",
"max",
"min"
]
},
"energy": {
"description": "Is it used to calculate job energy. Overwrite global",
"type": "string",
"enum": [
"power",
"energy"
]
},
"lowerIsBetter": {
"description": "Is lower better. Overwrite global",
"type": "boolean"
},
"peak": {
"type": "number"
},
"normal": {
"type": "number"
},
"caution": {
"type": "number"
},
"alert": {
"type": "number"
},
"remove": {
"description": "Remove this metric for this subcluster",
"type": "boolean"
}
},
"required": [
"name"
]
}
}
},
"required": [
"name",
"unit",
"scope",
"timestep",
"aggregation",
"peak",
"normal",
"caution",
"alert"
]
},
"minItems": 1
},
"subClusters": {
"description": "Array of cluster hardware partitions",
"type": "array",
"items": {
"type": "object",
"properties": {
"name": {
"description": "Hardware partition name",
"type": "string"
},
"processorType": {
"description": "Processor type",
"type": "string"
},
"socketsPerNode": {
"description": "Number of sockets per node",
"type": "integer"
},
"coresPerSocket": {
"description": "Number of cores per socket",
"type": "integer"
},
"threadsPerCore": {
"description": "Number of SMT threads per core",
"type": "integer"
},
"flopRateScalar": {
"description": "Theoretical node peak flop rate for scalar code in GFlops/s",
"type": "object",
"properties": {
"unit": {
"description": "Metric unit",
"$ref": "embedfs://unit.schema.json"
},
"value": {
"type": "number"
}
}
},
"flopRateSimd": {
"description": "Theoretical node peak flop rate for SIMD code in GFlops/s",
"type": "object",
"properties": {
"unit": {
"description": "Metric unit",
"$ref": "embedfs://unit.schema.json"
},
"value": {
"type": "number"
}
}
},
"memoryBandwidth": {
"description": "Theoretical node peak memory bandwidth in GB/s",
"type": "object",
"properties": {
"unit": {
"description": "Metric unit",
"$ref": "embedfs://unit.schema.json"
},
"value": {
"type": "number"
}
}
},
"nodes": {
"description": "Node list expression",
"type": "string"
},
"topology": {
"description": "Node topology",
"type": "object",
"properties": {
"node": {
"description": "HwTread lists of node",
"type": "array",
"items": {
"type": "integer"
}
},
"socket": {
"description": "HwTread lists of sockets",
"type": "array",
"items": {
"type": "array",
"items": {
"type": "integer"
}
}
},
"memoryDomain": {
"description": "HwTread lists of memory domains",
"type": "array",
"items": {
"type": "array",
"items": {
"type": "integer"
}
}
},
"die": {
"description": "HwTread lists of dies",
"type": "array",
"items": {
"type": "array",
"items": {
"type": "integer"
}
}
},
"core": {
"description": "HwTread lists of cores",
"type": "array",
"items": {
"type": "array",
"items": {
"type": "integer"
}
}
},
"accelerators": {
"type": "array",
"description": "List of of accelerator devices",
"items": {
"type": "object",
"properties": {
"id": {
"type": "string",
"description": "The unique device id"
},
"type": {
"type": "string",
"description": "The accelerator type",
"enum": [
"Nvidia GPU",
"AMD GPU",
"Intel GPU"
]
},
"model": {
"type": "string",
"description": "The accelerator model"
}
},
"required": [
"id",
"type",
"model"
]
}
}
},
"required": [
"node",
"socket",
"memoryDomain"
]
}
},
"required": [
"name",
"nodes",
"topology",
"processorType",
"socketsPerNode",
"coresPerSocket",
"threadsPerCore",
"flopRateScalar",
"flopRateSimd",
"memoryBandwidth"
]
},
"minItems": 1
}
},
"required": [
"name",
"metricConfig",
"subClusters"
]
}

222
web/frontend/src/generic/helper/JobFootprint.svelte
View File

@ -67,62 +67,74 @@
export let height = "310px";
const footprintData = job?.footprint?.map((jf) => {
// Unit
const fmc = getContext("getMetricConfig")(job.cluster, job.subCluster, jf.name);
const unit = (fmc?.unit?.prefix ? fmc.unit.prefix : "") + (fmc?.unit?.base ? fmc.unit.base : "")
if (fmc) {
// Unit
const unit = (fmc?.unit?.prefix ? fmc.unit.prefix : "") + (fmc?.unit?.base ? fmc.unit.base : "")
// Threshold / -Differences
const fmt = findJobThresholds(job, fmc);
if (jf.name === "flops_any") fmt.peak = round(fmt.peak * 0.85, 0);
// Threshold / -Differences
const fmt = findJobThresholds(job, fmc);
if (jf.name === "flops_any") fmt.peak = round(fmt.peak * 0.85, 0);
// Define basic data -> Value: Use as Provided
const fmBase = {
name: jf.name + ' (' + jf.stat + ')',
avg: jf.value,
unit: unit,
max: fmt.peak,
dir: fmc.lowerIsBetter
};
// Define basic data -> Value: Use as Provided
const fmBase = {
name: jf.name + ' (' + jf.stat + ')',
avg: jf.value,
unit: unit,
max: fmt.peak,
dir: fmc.lowerIsBetter
};
if (evalFootprint(jf.value, fmt, fmc.lowerIsBetter, "alert")) {
if (evalFootprint(jf.value, fmt, fmc.lowerIsBetter, "alert")) {
return {
...fmBase,
color: "danger",
message: `Metric average way ${fmc.lowerIsBetter ? "above" : "below"} expected normal thresholds.`,
impact: 3
};
} else if (evalFootprint(jf.value, fmt, fmc.lowerIsBetter, "caution")) {
return {
...fmBase,
color: "warning",
message: `Metric average ${fmc.lowerIsBetter ? "above" : "below"} expected normal thresholds.`,
impact: 2,
};
} else if (evalFootprint(jf.value, fmt, fmc.lowerIsBetter, "normal")) {
return {
...fmBase,
color: "success",
message: "Metric average within expected thresholds.",
impact: 1,
};
} else if (evalFootprint(jf.value, fmt, fmc.lowerIsBetter, "peak")) {
return {
...fmBase,
color: "info",
message:
"Metric average above expected normal thresholds: Check for artifacts recommended.",
impact: 0,
};
} else {
return {
...fmBase,
color: "secondary",
message:
"Metric average above expected peak threshold: Check for artifacts!",
impact: -1,
};
}
} else { // No matching metric config: display as single value
return {
...fmBase,
color: "danger",
message: `Metric average way ${fmc.lowerIsBetter ? "above" : "below"} expected normal thresholds.`,
impact: 3
};
} else if (evalFootprint(jf.value, fmt, fmc.lowerIsBetter, "caution")) {
return {
...fmBase,
color: "warning",
message: `Metric average ${fmc.lowerIsBetter ? "above" : "below"} expected normal thresholds.`,
impact: 2,
};
} else if (evalFootprint(jf.value, fmt, fmc.lowerIsBetter, "normal")) {
return {
...fmBase,
color: "success",
message: "Metric average within expected thresholds.",
impact: 1,
};
} else if (evalFootprint(jf.value, fmt, fmc.lowerIsBetter, "peak")) {
return {
...fmBase,
color: "info",
name: jf.name + ' (' + jf.stat + ')',
avg: jf.value,
message:
"Metric average above expected normal thresholds: Check for artifacts recommended.",
impact: 0,
};
} else {
return {
...fmBase,
color: "secondary",
message:
"Metric average above expected peak threshold: Check for artifacts!",
impact: -1,
`No config for metric ${jf.name} found.`,
impact: 4,
};
}
});
}).sort(function (a, b) { // Sort by impact value primarily, within impact sort name alphabetically
return a.impact - b.impact || ((a.name > b.name) ? 1 : ((b.name > a.name) ? -1 : 0));
});;
function evalFootprint(mean, thresholds, lowerIsBetter, level) {
// Handle Metrics in which less value is better
@ -159,37 +171,76 @@
{/if}
<CardBody>
{#each footprintData as fpd, index}
<div class="mb-1 d-flex justify-content-between">
<div>&nbsp;<b>{fpd.name}</b></div>
<!-- For symmetry, see below ...-->
<div
class="cursor-help d-inline-flex"
id={`footprint-${job.jobId}-${index}`}
>
<div class="mx-1">
<!-- Alerts Only -->
{#if fpd.impact === 3 || fpd.impact === -1}
<Icon name="exclamation-triangle-fill" class="text-danger" />
{:else if fpd.impact === 2}
<Icon name="exclamation-triangle" class="text-warning" />
{/if}
<!-- Emoji for all states-->
{#if fpd.impact === 3}
<Icon name="emoji-frown" class="text-danger" />
{:else if fpd.impact === 2}
<Icon name="emoji-neutral" class="text-warning" />
{:else if fpd.impact === 1}
<Icon name="emoji-smile" class="text-success" />
{:else if fpd.impact === 0}
<Icon name="emoji-laughing" class="text-info" />
{:else if fpd.impact === -1}
<Icon name="emoji-dizzy" class="text-danger" />
{/if}
{#if fpd.impact !== 4}
<div class="mb-1 d-flex justify-content-between">
<div>&nbsp;<b>{fpd.name}</b></div>
<!-- For symmetry, see below ...-->
<div
class="cursor-help d-inline-flex"
id={`footprint-${job.jobId}-${index}`}
>
<div class="mx-1">
<!-- Alerts Only -->
{#if fpd.impact === 3 || fpd.impact === -1}
<Icon name="exclamation-triangle-fill" class="text-danger" />
{:else if fpd.impact === 2}
<Icon name="exclamation-triangle" class="text-warning" />
{/if}
<!-- Emoji for all states-->
{#if fpd.impact === 3}
<Icon name="emoji-frown" class="text-danger" />
{:else if fpd.impact === 2}
<Icon name="emoji-neutral" class="text-warning" />
{:else if fpd.impact === 1}
<Icon name="emoji-smile" class="text-success" />
{:else if fpd.impact === 0}
<Icon name="emoji-laughing" class="text-info" />
{:else if fpd.impact === -1}
<Icon name="emoji-dizzy" class="text-danger" />
{/if}
</div>
<div>
<!-- Print Values -->
{fpd.avg} / {fpd.max}
{fpd.unit} &nbsp; <!-- To increase margin to tooltip: No other way manageable ... -->
</div>
</div>
<Tooltip
target={`footprint-${job.jobId}-${index}`}
placement="right"
offset={[0, 20]}>{fpd.message}</Tooltip
>
</div>
<Row cols={12} class="{(footprintData.length == (index + 1)) ? 'mb-0' : 'mb-2'}">
{#if fpd.dir}
<Col xs="1">
<Icon name="caret-left-fill" />
</Col>
{/if}
<Col xs="11" class="align-content-center">
<Progress value={fpd.avg} max={fpd.max} color={fpd.color} />
</Col>
{#if !fpd.dir}
<Col xs="1">
<Icon name="caret-right-fill" />
</Col>
{/if}
</Row>
{:else}
<div class="mb-1 d-flex justify-content-between">
<div>
<!-- Print Values -->
{fpd.avg} / {fpd.max}
{fpd.unit} &nbsp; <!-- To increase margin to tooltip: No other way manageable ... -->
&nbsp;<b>{fpd.name}</b>
</div>
<div
class="cursor-help d-inline-flex"
id={`footprint-${job.jobId}-${index}`}
>
<div class="mx-1">
<Icon name="info-circle"/>
</div>
<div>
{fpd.avg}&nbsp;
</div>
</div>
</div>
<Tooltip
@ -197,22 +248,7 @@
placement="right"
offset={[0, 20]}>{fpd.message}</Tooltip
>
</div>
<Row cols={12} class="{(footprintData.length == (index + 1)) ? 'mb-0' : 'mb-2'}">
{#if fpd.dir}
<Col xs="1">
<Icon name="caret-left-fill" />
</Col>
{/if}
<Col xs="11" class="align-content-center">
<Progress value={fpd.avg} max={fpd.max} color={fpd.color} />
</Col>
{#if !fpd.dir}
<Col xs="1">
<Icon name="caret-right-fill" />
</Col>
{/if}
</Row>
{/if}
{/each}
{#if job?.metaData?.message}
<hr class="mt-1 mb-2" />

43
web/frontend/src/generic/utils.js
View File

@ -301,7 +301,7 @@ export function stickyHeader(datatableHeaderSelector, updatePading) {
onDestroy(() => document.removeEventListener("scroll", onscroll));
}
export function checkMetricDisabled(m, c, s) { //[m]etric, [c]luster, [s]ubcluster
export function checkMetricDisabled(m, c, s) { // [m]etric, [c]luster, [s]ubcluster
const metrics = getContext("globalMetrics");
const result = metrics?.find((gm) => gm.name === m)?.availability?.find((av) => av.cluster === c)?.subClusters?.includes(s)
return !result
@ -309,23 +309,22 @@ export function checkMetricDisabled(m, c, s) { //[m]etric, [c]luster, [s]ubclust
export function getStatsItems() {
// console.time('stats')
// console.log('getStatsItems ...')
const globalMetrics = getContext("globalMetrics")
const result = globalMetrics.map((gm) => {
if (gm?.footprint) {
// Footprint contains suffix naming the used stat-type
// console.time('deep')
// console.log('Deep Config for', gm.name)
const mc = getMetricConfigDeep(gm.name, null, null)
// console.timeEnd('deep')
return {
field: gm.name + '_' + gm.footprint,
text: gm.name + ' (' + gm.footprint + ')',
metric: gm.name,
from: 0,
to: mc.peak,
peak: mc.peak,
enabled: false
if (mc) {
return {
field: gm.name + '_' + gm.footprint,
text: gm.name + ' (' + gm.footprint + ')',
metric: gm.name,
from: 0,
to: mc.peak,
peak: mc.peak,
enabled: false
}
}
}
return null
@ -336,11 +335,9 @@ export function getStatsItems() {
export function getSortItems() {
//console.time('sort')
//console.log('getSortItems ...')
const globalMetrics = getContext("globalMetrics")
const result = globalMetrics.map((gm) => {
if (gm?.footprint) {
// Footprint contains suffix naming the used stat-type
return {
field: gm.name + '_' + gm.footprint,
type: 'foot',
@ -357,21 +354,22 @@ export function getSortItems() {
function getMetricConfigDeep(metric, cluster, subCluster) {
const clusters = getContext("clusters");
if (cluster != null) {
let c = clusters.find((c) => c.name == cluster);
const c = clusters.find((c) => c.name == cluster);
if (subCluster != null) {
let sc = c.subClusters.find((sc) => sc.name == subCluster);
const sc = c.subClusters.find((sc) => sc.name == subCluster);
return sc.metricConfig.find((mc) => mc.name == metric)
} else {
let result;
for (let sc of c.subClusters) {
const mc = sc.metricConfig.find((mc) => mc.name == metric)
if (result) { // If lowerIsBetter: Peak is still maximum value, no special case required
if (result && mc) { // update result; If lowerIsBetter: Peak is still maximum value, no special case required
result.alert = (mc.alert > result.alert) ? mc.alert : result.alert
result.caution = (mc.caution > result.caution) ? mc.caution : result.caution
result.normal = (mc.normal > result.normal) ? mc.normal : result.normal
result.peak = (mc.peak > result.peak) ? mc.peak : result.peak
} else {
if (mc) result = {...mc};
} else if (mc) {
// start new result
result = {...mc};
}
}
return result
@ -381,13 +379,14 @@ function getMetricConfigDeep(metric, cluster, subCluster) {
for (let c of clusters) {
for (let sc of c.subClusters) {
const mc = sc.metricConfig.find((mc) => mc.name == metric)
if (result) { // If lowerIsBetter: Peak is still maximum value, no special case required
if (result && mc) { // update result; If lowerIsBetter: Peak is still maximum value, no special case required
result.alert = (mc.alert > result.alert) ? mc.alert : result.alert
result.caution = (mc.caution > result.caution) ? mc.caution : result.caution
result.normal = (mc.normal > result.normal) ? mc.normal : result.normal
result.peak = (mc.peak > result.peak) ? mc.peak : result.peak
} else {
if (mc) result = {...mc};
} else if (mc) {
// Start new result
result = {...mc};
}
}
}