mirror of
https://github.com/ClusterCockpit/cc-backend
synced 2026-07-27 00:37:14 +02:00
cc-lib changed JobData, ScopedJobStats and Job.Statistics from flat maps to structs (a .Metrics map plus array-valued Groups) to represent filesystem (and future interconnect) metric groups. Migrate all construction, indexing and iteration to the new API across the archive backends, metricstore query path, metric dispatcher, archiver, importer, tagger, taskmanager, repository and API layers. Semantics: DecodeJobStats now projects JobData.Groups into ScopedJobStats.Groups, and the archiver derives per-filesystem node-scope statistics into Job.Statistics.Groups. deepCopy, resampling and the metric/scope filter are group-aware. The metricstore internal storage (buffers, selector tree, checkpoint/parquet) is unchanged; all conversion stays at the LoadData/archive-codec seam. Note: requires the corresponding cc-lib release; bump the cc-lib dependency version once tagged (a local go.mod replace was used during development and is intentionally not committed). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
150 lines
4.8 KiB
Go
150 lines
4.8 KiB
Go
// Copyright (C) NHR@FAU, University Erlangen-Nuremberg.
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// All rights reserved. This file is part of cc-backend.
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// Use of this source code is governed by a MIT-style
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// license that can be found in the LICENSE file.
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package taskmanager
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import (
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"context"
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"math"
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"time"
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"github.com/ClusterCockpit/cc-backend/internal/metricdispatch"
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"github.com/ClusterCockpit/cc-backend/pkg/archive"
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cclog "github.com/ClusterCockpit/cc-lib/v2/ccLogger"
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"github.com/ClusterCockpit/cc-lib/v2/schema"
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sq "github.com/Masterminds/squirrel"
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"github.com/go-co-op/gocron/v2"
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)
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func RegisterFootprintWorker() {
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var frequency string
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if Keys.FootprintWorker != "" {
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frequency = Keys.FootprintWorker
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} else {
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frequency = "10m"
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}
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d, err := parseDuration(frequency)
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if err != nil {
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cclog.Errorf("RegisterFootprintWorker: %v", err)
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return
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}
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cclog.Infof("Register Footprint Update service with %s interval", frequency)
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s.NewJob(gocron.DurationJob(d),
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gocron.NewTask(
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func() {
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s := time.Now()
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c := 0
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ce := 0
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cl := 0
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cclog.Infof("Update Footprints started at %s", s.Format(time.RFC3339))
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for _, cluster := range archive.Clusters {
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sCluster := time.Now()
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jobs, err := jobRepo.FindRunningJobs(cluster.Name)
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if err != nil {
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continue
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}
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// NOTE: Additional SubCluster Loop Could Allow For Limited List Of Footprint-Metrics Only.
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// - Chunk-Size Would Then Be 'SubCluster' (Running Jobs, Transactions) as Lists Can Change Within SCs
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// - Would Require Review of 'updateFootprint' Usage (Logic Could Possibly Be Included Here Completely)
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allMetrics := make([]string, 0)
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metricConfigs := archive.GetCluster(cluster.Name).MetricConfig
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for _, mc := range metricConfigs {
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allMetrics = append(allMetrics, mc.Name)
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}
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pendingStatements := []sq.UpdateBuilder{}
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for _, job := range jobs {
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cclog.Debugf("Prepare job %d", job.JobID)
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cl++
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sJob := time.Now()
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ms, err := metricdispatch.GetMetricDataRepo(job.Cluster, job.SubCluster)
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if err != nil {
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cclog.Errorf("failed to access metricDataRepo for cluster %s-%s: %s",
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job.Cluster, job.SubCluster, err.Error())
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continue
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}
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jobStats, err := ms.LoadStats(job, allMetrics, context.Background())
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if err != nil {
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cclog.Errorf("error wile loading job data stats for footprint update: %v", err)
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ce++
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continue
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}
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job.Statistics = schema.JobStatisticsSet{Metrics: make(map[string]schema.JobStatistics)}
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for _, metric := range allMetrics {
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avg, min, max := 0.0, 0.0, 0.0
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data, ok := jobStats[metric] // JobStats[Metric1:[Hostname1:[Stats], Hostname2:[Stats], ...], Metric2[...] ...]
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if ok {
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for _, res := range job.Resources {
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hostStats, ok := data[res.Hostname]
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if ok {
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avg += hostStats.Avg
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min = math.Min(min, hostStats.Min)
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max = math.Max(max, hostStats.Max)
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}
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}
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}
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// Add values rounded to 2 digits: repo.LoadStats may return unrounded
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job.Statistics.Metrics[metric] = schema.JobStatistics{
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Unit: schema.Unit{
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Prefix: archive.GetMetricConfig(job.Cluster, metric).Unit.Prefix,
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Base: archive.GetMetricConfig(job.Cluster, metric).Unit.Base,
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},
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Avg: (math.Round((avg/float64(job.NumNodes))*100) / 100),
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Min: (math.Round(min*100) / 100),
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Max: (math.Round(max*100) / 100),
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}
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}
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// Build Statement per Job, Add to Pending Array
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stmt := sq.Update("job")
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stmt, err = jobRepo.UpdateFootprint(stmt, job)
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if err != nil {
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cclog.Errorf("update job (dbid: %d) statement build failed at footprint step: %s", *job.ID, err.Error())
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ce++
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continue
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}
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stmt = stmt.Where("job.id = ?", job.ID)
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pendingStatements = append(pendingStatements, stmt)
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cclog.Debugf("Job %d took %s", job.JobID, time.Since(sJob))
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}
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t, err := jobRepo.TransactionInit()
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if err != nil {
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cclog.Errorf("failed TransactionInit %v", err)
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cclog.Errorf("skipped %d transactions for cluster %s", len(pendingStatements), cluster.Name)
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ce += len(pendingStatements)
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} else {
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for _, ps := range pendingStatements {
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query, args, err := ps.ToSql()
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if err != nil {
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cclog.Errorf("failed in ToSQL conversion: %v", err)
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ce++
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} else {
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// args...: Footprint-JSON, Energyfootprint-JSON, TotalEnergy, JobID
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jobRepo.TransactionAdd(t, query, args...)
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c++
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}
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}
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jobRepo.TransactionEnd(t)
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}
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cclog.Debugf("Finish Cluster %s, took %s\n", cluster.Name, time.Since(sCluster))
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}
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cclog.Infof("Updating %d (of %d; Skipped %d) Footprints is done and took %s", c, cl, ce, time.Since(s))
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}))
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}
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