mirror of
https://github.com/ClusterCockpit/cc-backend
synced 2024-12-27 13:49:05 +01:00
232 lines
6.1 KiB
Go
232 lines
6.1 KiB
Go
// 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
|
|
}
|