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Introduce caching table for faster job inserts

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Fixes #392
This commit is contained in:
Jan Eitzinger
2025-05-16 17:32:19 +02:00
parent 432e06e801
commit eab7961a83
6 changed files with 114 additions and 20 deletions
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47
internal/repository/jobCreate.go
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@@ -13,6 +13,14 @@ import (
sq "github.com/Masterminds/squirrel"
)
const NamedJobCacheInsert string = `INSERT INTO job_cache (
job_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,
exclusive, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data
) VALUES (
:job_id, :hpc_user, :project, :cluster, :subcluster, :cluster_partition, :array_job_id, :num_nodes, :num_hwthreads, :num_acc,
:exclusive, :monitoring_status, :smt, :job_state, :start_time, :duration, :walltime, :footprint, :energy, :energy_footprint, :resources, :meta_data
);`
const NamedJobInsert string = `INSERT INTO job (
job_id, hpc_user, project, cluster, subcluster, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc,
exclusive, monitoring_status, smt, job_state, start_time, duration, walltime, footprint, energy, energy_footprint, resources, meta_data
@@ -22,7 +30,9 @@ const NamedJobInsert string = `INSERT INTO job (
);`
func (r *JobRepository) InsertJob(job *schema.JobMeta) (int64, error) {
res, err := r.DB.NamedExec(NamedJobInsert, job)
r.Mutex.Lock()
res, err := r.DB.NamedExec(NamedJobCacheInsert, job)
r.Mutex.Unlock()
if err != nil {
log.Warn("Error while NamedJobInsert")
return 0, err
@@ -36,6 +46,25 @@ func (r *JobRepository) InsertJob(job *schema.JobMeta) (int64, error) {
return id, nil
}
func (r *JobRepository) SyncJobs() error {
r.Mutex.Lock()
defer r.Mutex.Unlock()
_, err := r.DB.Exec(
"INSERT INTO job (job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, exclusive, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data) SELECT job_id, cluster, subcluster, start_time, hpc_user, project, cluster_partition, array_job_id, num_nodes, num_hwthreads, num_acc, exclusive, monitoring_status, smt, job_state, duration, walltime, footprint, energy, energy_footprint, resources, meta_data FROM job_cache")
if err != nil {
log.Warnf("Error while Job sync: %v", err)
return err
}
_, err = r.DB.Exec("DELETE FROM job_cache")
if err != nil {
log.Warn("Error while Job cache clean")
return err
}
return nil
}
// Start inserts a new job in the table, returning the unique job ID.
// Statistics are not transfered!
func (r *JobRepository) Start(job *schema.JobMeta) (id int64, err error) {
@@ -73,3 +102,19 @@ func (r *JobRepository) Stop(
_, err = stmt.RunWith(r.stmtCache).Exec()
return
}
func (r *JobRepository) StopCached(
jobId int64,
duration int32,
state schema.JobState,
monitoringStatus int32,
) (err error) {
stmt := sq.Update("job_cache").
Set("job_state", state).
Set("duration", duration).
Set("monitoring_status", monitoringStatus).
Where("job.id = ?", jobId)
_, err = stmt.RunWith(r.stmtCache).Exec()
return
}