cc-backend/internal/repository/stats.go

257 lines
7.1 KiB
Go

// Copyright (C) 2022 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"
"database/sql"
"fmt"
"time"
"github.com/99designs/gqlgen/graphql"
"github.com/ClusterCockpit/cc-backend/internal/auth"
"github.com/ClusterCockpit/cc-backend/internal/config"
"github.com/ClusterCockpit/cc-backend/internal/graph/model"
"github.com/ClusterCockpit/cc-backend/pkg/archive"
"github.com/ClusterCockpit/cc-backend/pkg/log"
sq "github.com/Masterminds/squirrel"
)
// GraphQL validation should make sure that no unkown values can be specified.
var groupBy2column = map[model.Aggregate]string{
model.AggregateUser: "job.user",
model.AggregateProject: "job.project",
model.AggregateCluster: "job.cluster",
}
// Helper function for the jobsStatistics GraphQL query placed here so that schema.resolvers.go is not too full.
func (r *JobRepository) JobsStatistics(ctx context.Context,
filter []*model.JobFilter,
groupBy *model.Aggregate) ([]*model.JobsStatistics, error) {
start := time.Now()
// In case `groupBy` is nil (not used), the model.JobsStatistics used is at the key '' (empty string)
stats := map[string]*model.JobsStatistics{}
var castType string
switch r.driver {
case "sqlite3":
castType = "int"
case "mysql":
castType = "unsigned"
}
// `socketsPerNode` and `coresPerSocket` can differ from cluster to cluster, so we need to explicitly loop over those.
for _, cluster := range archive.Clusters {
for _, subcluster := range cluster.SubClusters {
corehoursCol := fmt.Sprintf("CAST(ROUND(SUM(job.duration * job.num_nodes * %d * %d) / 3600) as %s)", subcluster.SocketsPerNode, subcluster.CoresPerSocket, castType)
var rawQuery sq.SelectBuilder
if groupBy == nil {
rawQuery = sq.Select(
"''",
"COUNT(job.id)",
fmt.Sprintf("CAST(ROUND(SUM(job.duration) / 3600) as %s)", castType),
corehoursCol,
).From("job")
} else {
col := groupBy2column[*groupBy]
rawQuery = sq.Select(
col,
"COUNT(job.id)",
fmt.Sprintf("CAST(ROUND(SUM(job.duration) / 3600) as %s)", castType),
corehoursCol,
).From("job").GroupBy(col)
}
rawQuery = rawQuery.
Where("job.cluster = ?", cluster.Name).
Where("job.subcluster = ?", subcluster.Name)
query, qerr := SecurityCheck(ctx, rawQuery)
if qerr != nil {
return nil, qerr
}
for _, f := range filter {
query = BuildWhereClause(f, query)
}
rows, err := query.RunWith(r.DB).Query()
if err != nil {
log.Warn("Error while querying DB for job statistics")
return nil, err
}
for rows.Next() {
var id sql.NullString
var jobs, walltime, corehours sql.NullInt64
if err := rows.Scan(&id, &jobs, &walltime, &corehours); err != nil {
log.Warn("Error while scanning rows")
return nil, err
}
if id.Valid {
if s, ok := stats[id.String]; ok {
s.TotalJobs += int(jobs.Int64)
s.TotalWalltime += int(walltime.Int64)
s.TotalCoreHours += int(corehours.Int64)
} else {
stats[id.String] = &model.JobsStatistics{
ID: id.String,
TotalJobs: int(jobs.Int64),
TotalWalltime: int(walltime.Int64),
TotalCoreHours: int(corehours.Int64),
}
}
}
}
}
}
if groupBy == nil {
query := sq.Select("COUNT(job.id)").From("job").Where("job.duration < ?", config.Keys.ShortRunningJobsDuration)
query, qerr := SecurityCheck(ctx, query)
if qerr != nil {
return nil, qerr
}
for _, f := range filter {
query = BuildWhereClause(f, query)
}
if err := query.RunWith(r.DB).QueryRow().Scan(&(stats[""].ShortJobs)); err != nil {
log.Warn("Error while scanning rows for short job stats")
return nil, err
}
} else {
col := groupBy2column[*groupBy]
query := sq.Select(col, "COUNT(job.id)").From("job").Where("job.duration < ?", config.Keys.ShortRunningJobsDuration)
query, qerr := SecurityCheck(ctx, query)
if qerr != nil {
return nil, qerr
}
for _, f := range filter {
query = BuildWhereClause(f, query)
}
rows, err := query.RunWith(r.DB).Query()
if err != nil {
log.Warn("Error while querying jobs for short jobs")
return nil, err
}
for rows.Next() {
var id sql.NullString
var shortJobs sql.NullInt64
if err := rows.Scan(&id, &shortJobs); err != nil {
log.Warn("Error while scanning rows for short jobs")
return nil, err
}
if id.Valid {
stats[id.String].ShortJobs = int(shortJobs.Int64)
}
}
if col == "job.user" {
for id := range stats {
emptyDash := "-"
user := auth.GetUser(ctx)
name, _ := r.FindColumnValue(user, id, "user", "name", "username", false)
if name != "" {
stats[id].Name = &name
} else {
stats[id].Name = &emptyDash
}
}
}
}
// Calculating the histogram data is expensive, so only do it if needed.
// An explicit resolver can not be used because we need to know the filters.
histogramsNeeded := false
fields := graphql.CollectFieldsCtx(ctx, nil)
for _, col := range fields {
if col.Name == "histDuration" || col.Name == "histNumNodes" {
histogramsNeeded = true
}
}
res := make([]*model.JobsStatistics, 0, len(stats))
for _, stat := range stats {
res = append(res, stat)
id, col := "", ""
if groupBy != nil {
id = stat.ID
col = groupBy2column[*groupBy]
}
if histogramsNeeded {
var err error
value := fmt.Sprintf(`CAST(ROUND((CASE WHEN job.job_state = "running" THEN %d - job.start_time ELSE job.duration END) / 3600) as %s) as value`, time.Now().Unix(), castType)
stat.HistDuration, err = r.jobsStatisticsHistogram(ctx, value, filter, id, col)
if err != nil {
log.Warn("Error while loading job statistics histogram: running jobs")
return nil, err
}
stat.HistNumNodes, err = r.jobsStatisticsHistogram(ctx, "job.num_nodes as value", filter, id, col)
if err != nil {
log.Warn("Error while loading job statistics histogram: num nodes")
return nil, err
}
}
}
log.Infof("Timer JobStatistics %s", time.Since(start))
return res, nil
}
// `value` must be the column grouped by, but renamed to "value". `id` and `col` can optionally be used
// to add a condition to the query of the kind "<col> = <id>".
func (r *JobRepository) jobsStatisticsHistogram(ctx context.Context,
value string, filters []*model.JobFilter, id, col string) ([]*model.HistoPoint, error) {
start := time.Now()
query, qerr := SecurityCheck(ctx, sq.Select(value, "COUNT(job.id) AS count").From("job"))
if qerr != nil {
return nil, qerr
}
for _, f := range filters {
query = BuildWhereClause(f, query)
}
if len(id) != 0 && len(col) != 0 {
query = query.Where(col+" = ?", id)
}
rows, err := query.GroupBy("value").RunWith(r.DB).Query()
if err != nil {
log.Error("Error while running query")
return nil, err
}
points := make([]*model.HistoPoint, 0)
for rows.Next() {
point := model.HistoPoint{}
if err := rows.Scan(&point.Value, &point.Count); err != nil {
log.Warn("Error while scanning rows")
return nil, err
}
points = append(points, &point)
}
log.Infof("Timer jobsStatisticsHistogram %s", time.Since(start))
return points, nil
}