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stats.go
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/
stats.go
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package stats
import (
"context"
"fmt"
"net/http"
"github.com/pachyderm/pachyderm/v2/src/internal/log"
"github.com/pachyderm/pachyderm/v2/src/pps"
"github.com/prometheus/client_golang/prometheus"
"github.com/prometheus/client_golang/prometheus/promauto"
"github.com/prometheus/client_golang/prometheus/promhttp"
"go.uber.org/zap"
)
const (
// PrometheusPort is the port the aggregated metrics are served on by
// the user container for scraping.
PrometheusPort = 9090
// SidecarPrometheusPort is the port the sidecar (storage) container
// serves metrics on.
SidecarPrometheusPort = 9091
)
func JobLabels(job *pps.Job) prometheus.Labels {
return prometheus.Labels{
"project": job.Pipeline.Project.GetName(),
"pipeline": job.Pipeline.Name,
"job": job.Id,
}
}
func DatumLabels(job *pps.Job, state string) prometheus.Labels {
return prometheus.Labels{
"project": job.Pipeline.Project.GetName(),
"pipeline": job.Pipeline.Name,
"job": job.Id,
"state": state,
}
}
var (
bucketFactor = 2.0
bucketCount = 20 // Which makes the max bucket 2^20 seconds or ~12 days in size
// DatumCount is a counter tracking the number of datums processed by a pipeline
DatumCount = promauto.NewCounterVec(
prometheus.CounterOpts{
Namespace: "pachyderm",
Subsystem: "worker",
Name: "datum_count",
Help: "Number of datums processed by pipeline ID and state (started|errored|finished)",
},
[]string{
"project",
"pipeline",
"job",
"state",
},
)
// DatumProcTime is a histogram tracking the time spent in user code for datums processed by a pipeline
DatumProcTime = promauto.NewHistogramVec(
prometheus.HistogramOpts{
Namespace: "pachyderm",
Subsystem: "worker",
Name: "datum_proc_time",
Help: "Time running user code",
Buckets: prometheus.ExponentialBuckets(1.0, bucketFactor, bucketCount),
},
[]string{
"project",
"pipeline",
"job",
"state", // Since both finished and errored datums can have proc times
},
)
// DatumProcSecondsCount is a counter tracking the total time spent in user code by a pipeline
DatumProcSecondsCount = promauto.NewCounterVec(
prometheus.CounterOpts{
Namespace: "pachyderm",
Subsystem: "worker",
Name: "datum_proc_seconds_count",
Help: "Cumulative number of seconds spent processing",
},
[]string{
"project",
"pipeline",
"job",
"state",
},
)
// DatumDownloadTime is a histogram tracking the time spent downloading input data by a pipeline
DatumDownloadTime = promauto.NewHistogramVec(
prometheus.HistogramOpts{
Namespace: "pachyderm",
Subsystem: "worker",
Name: "datum_download_time",
Help: "Time to download input data",
Buckets: prometheus.ExponentialBuckets(1.0, bucketFactor, bucketCount),
},
[]string{
"project",
"pipeline",
"job",
},
)
// DatumDownloadSecondsCount is a counter tracking the total time spent downloading input data by a pipeline
DatumDownloadSecondsCount = promauto.NewCounterVec(
prometheus.CounterOpts{
Namespace: "pachyderm",
Subsystem: "worker",
Name: "datum_download_seconds_count",
Help: "Cumulative number of seconds spent downloading",
},
[]string{
"project",
"pipeline",
"job",
},
)
// DatumUploadTime is a histogram tracking the time spent uploading output data by a pipeline
DatumUploadTime = promauto.NewHistogramVec(
prometheus.HistogramOpts{
Namespace: "pachyderm",
Subsystem: "worker",
Name: "datum_upload_time",
Help: "Time to upload output data",
Buckets: prometheus.ExponentialBuckets(1.0, bucketFactor, bucketCount),
},
[]string{
"project",
"pipeline",
"job",
},
)
// DatumUploadSecondsCount is a counter tracking the total time spent uploading output data by a pipeline
DatumUploadSecondsCount = promauto.NewCounterVec(
prometheus.CounterOpts{
Namespace: "pachyderm",
Subsystem: "worker",
Name: "datum_upload_seconds_count",
Help: "Cumulative number of seconds spent uploading",
},
[]string{
"project",
"pipeline",
"job",
},
)
// DatumDownloadSize is a histogram tracking the size of input data downloaded by a pipeline
DatumDownloadSize = promauto.NewHistogramVec(
prometheus.HistogramOpts{
Namespace: "pachyderm",
Subsystem: "worker",
Name: "datum_download_size",
Help: "Size of downloaded input data",
Buckets: prometheus.ExponentialBuckets(1.0, bucketFactor, bucketCount),
},
[]string{
"project",
"pipeline",
"job",
},
)
// DatumDownloadBytesCount is a counter tracking the total size of input data downloaded by a pipeline
DatumDownloadBytesCount = promauto.NewCounterVec(
prometheus.CounterOpts{
Namespace: "pachyderm",
Subsystem: "worker",
Name: "datum_download_bytes_count",
Help: "Cumulative number of bytes downloaded",
},
[]string{
"project",
"pipeline",
"job",
},
)
// DatumUploadSize is a histogram tracking the size of output data uploaded by a pipeline
DatumUploadSize = promauto.NewHistogramVec(
prometheus.HistogramOpts{
Namespace: "pachyderm",
Subsystem: "worker",
Name: "datum_upload_size",
Help: "Size of uploaded output data",
Buckets: prometheus.ExponentialBuckets(1.0, bucketFactor, bucketCount),
},
[]string{
"project",
"pipeline",
"job",
},
)
// DatumUploadBytesCount is a counter tracking the total size of output data uploaded by a pipeline
DatumUploadBytesCount = promauto.NewCounterVec(
prometheus.CounterOpts{
Namespace: "pachyderm",
Subsystem: "worker",
Name: "datum_upload_bytes_count",
Help: "Cumulative number of bytes uploaded",
},
[]string{
"project",
"pipeline",
"job",
},
)
)
// InitPrometheus sets up the default datum stats collectors for use by worker
// code, and exposes the stats on an http endpoint.
func InitPrometheus(ctx context.Context) {
mux := http.NewServeMux()
mux.Handle("/metrics", promhttp.Handler())
server := &http.Server{
Addr: fmt.Sprintf(":%v", PrometheusPort),
Handler: mux,
}
log.AddLoggerToHTTPServer(ctx, "http", server)
go func() {
if err := server.ListenAndServe(); err != nil {
log.Error(ctx, "error serving prometheus metrics", zap.Error(err))
}
}()
}