cc-backend/internal/metricDataDispatcher/dataLoader.go
2024-09-05 17:27:18 +02:00

255 lines
6.8 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/resampler"
"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,
resolution int,
) 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]-%d",
job.ID, job.State, metrics, scopes, resolution)
}
// Fetches the metric data for a job.
func LoadData(job *schema.Job,
metrics []string,
scopes []schema.MetricScope,
ctx context.Context,
resolution int,
) (schema.JobData, error) {
data := cache.Get(cacheKey(job, metrics, scopes, resolution), 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, resolution)
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 {
var jd_temp schema.JobData
jd_temp, err = archive.GetHandle().LoadJobData(job)
if err != nil {
log.Error("Error while loading job data from archive")
return err, 0, 0
}
//Deep copy the cached archive hashmap
jd = metricdata.DeepCopy(jd_temp)
//Resampling for archived data.
//Pass the resolution from frontend here.
for _, v := range jd {
for _, v_ := range v {
timestep := 0
for i := 0; i < len(v_.Series); i += 1 {
v_.Series[i].Data, timestep, err = resampler.LargestTriangleThreeBucket(v_.Series[i].Data, v_.Timestep, resolution)
if err != nil {
return err, 0, 0
}
}
v_.Timestep = timestep
}
}
// 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.
// Note: Lines 142-170 formerly known as prepareJobData(jobData, scoeps)
// 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
}