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package promscrape
import (
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"flag"
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"fmt"
"strings"
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"time"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/bytesutil"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/logger"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/promauth"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/prompbmarshal"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/promrelabel"
parser "github.com/VictoriaMetrics/VictoriaMetrics/lib/protoparser/prometheus"
"github.com/VictoriaMetrics/metrics"
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xxhash "github.com/cespare/xxhash/v2"
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)
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var (
suppressScrapeErrors = flag . Bool ( "promscrape.suppressScrapeErrors" , false , "Whether to suppress scrape errors logging. " +
"The last error for each target is always available at '/targets' page even if scrape errors logging is suppressed" )
)
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// ScrapeWork represents a unit of work for scraping Prometheus metrics.
type ScrapeWork struct {
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// Unique ID for the ScrapeWork.
ID uint64
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// Full URL (including query args) for the scrape.
ScrapeURL string
// Interval for scraping the ScrapeURL.
ScrapeInterval time . Duration
// Timeout for scraping the ScrapeURL.
ScrapeTimeout time . Duration
// How to deal with conflicting labels.
// See https://prometheus.io/docs/prometheus/latest/configuration/configuration/#scrape_config
HonorLabels bool
// How to deal with scraped timestamps.
// See https://prometheus.io/docs/prometheus/latest/configuration/configuration/#scrape_config
HonorTimestamps bool
// Labels to add to the scraped metrics.
//
// The list contains at least the following labels according to https://prometheus.io/docs/prometheus/latest/configuration/configuration/#relabel_config
//
// * job
// * __address__
// * __scheme__
// * __metrics_path__
// * __param_<name>
// * __meta_*
// * user-defined labels set via `relabel_configs` section in `scrape_config`
//
// See also https://prometheus.io/docs/concepts/jobs_instances/
Labels [ ] prompbmarshal . Label
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// Auth config
AuthConfig * promauth . Config
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// Optional `metric_relabel_configs`.
MetricRelabelConfigs [ ] promrelabel . ParsedRelabelConfig
// The maximum number of metrics to scrape after relabeling.
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SampleLimit int
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// The original 'job_name'
jobNameOriginal string
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}
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// key returns unique identifier for the given sw.
//
// it can be used for comparing for equality two ScrapeWork objects.
func ( sw * ScrapeWork ) key ( ) string {
key := fmt . Sprintf ( "ScrapeURL=%s, ScrapeInterval=%s, ScrapeTimeout=%s, HonorLabels=%v, HonorTimestamps=%v, Labels=%s, " +
"AuthConfig=%s, MetricRelabelConfigs=%s, SampleLimit=%d" ,
sw . ScrapeURL , sw . ScrapeInterval , sw . ScrapeTimeout , sw . HonorLabels , sw . HonorTimestamps , sw . LabelsString ( ) ,
sw . AuthConfig . String ( ) , sw . metricRelabelConfigsString ( ) , sw . SampleLimit )
return key
}
func ( sw * ScrapeWork ) metricRelabelConfigsString ( ) string {
var sb strings . Builder
for _ , prc := range sw . MetricRelabelConfigs {
fmt . Fprintf ( & sb , "%s" , prc . String ( ) )
}
return sb . String ( )
}
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// Job returns job for the ScrapeWork
func ( sw * ScrapeWork ) Job ( ) string {
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return promrelabel . GetLabelValueByName ( sw . Labels , "job" )
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}
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// LabelsString returns labels in Prometheus format for the given sw.
func ( sw * ScrapeWork ) LabelsString ( ) string {
labels := make ( [ ] string , 0 , len ( sw . Labels ) )
for _ , label := range promrelabel . FinalizeLabels ( nil , sw . Labels ) {
labels = append ( labels , fmt . Sprintf ( "%s=%q" , label . Name , label . Value ) )
}
return "{" + strings . Join ( labels , ", " ) + "}"
}
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type scrapeWork struct {
// Config for the scrape.
Config ScrapeWork
// ReadData is called for reading the data.
ReadData func ( dst [ ] byte ) ( [ ] byte , error )
// PushData is called for pushing collected data.
PushData func ( wr * prompbmarshal . WriteRequest )
bodyBuf [ ] byte
rows parser . Rows
tmpRow parser . Row
writeRequest prompbmarshal . WriteRequest
labels [ ] prompbmarshal . Label
samples [ ] prompbmarshal . Sample
}
func ( sw * scrapeWork ) run ( stopCh <- chan struct { } ) {
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// Calculate start time for the first scrape from ScrapeURL and labels.
// This should spread load when scraping many targets with different
// scrape urls and labels.
// This also makes consistent scrape times across restarts
// for a target with the same ScrapeURL and labels.
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scrapeInterval := sw . Config . ScrapeInterval
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key := fmt . Sprintf ( "ScrapeURL=%s, Labels=%s" , sw . Config . ScrapeURL , sw . Config . LabelsString ( ) )
h := uint32 ( xxhash . Sum64 ( [ ] byte ( key ) ) )
randSleep := uint64 ( float64 ( scrapeInterval ) * ( float64 ( h ) / ( 1 << 32 ) ) )
sleepOffset := uint64 ( time . Now ( ) . UnixNano ( ) ) % uint64 ( scrapeInterval )
if randSleep < sleepOffset {
randSleep += uint64 ( scrapeInterval )
}
randSleep -= sleepOffset
timer := time . NewTimer ( time . Duration ( randSleep ) )
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var timestamp int64
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var ticker * time . Ticker
select {
case <- stopCh :
timer . Stop ( )
return
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case <- timer . C :
ticker = time . NewTicker ( scrapeInterval )
timestamp = time . Now ( ) . UnixNano ( ) / 1e6
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sw . scrapeAndLogError ( timestamp )
}
defer ticker . Stop ( )
for {
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timestamp += scrapeInterval . Milliseconds ( )
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select {
case <- stopCh :
return
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case <- ticker . C :
t := time . Now ( ) . UnixNano ( ) / 1e6
if d := t - timestamp ; d > 0 && float64 ( d ) / float64 ( scrapeInterval . Milliseconds ( ) ) > 0.1 {
// Too big jitter. Adjust timestamp
timestamp = t
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}
sw . scrapeAndLogError ( timestamp )
}
}
}
func ( sw * scrapeWork ) logError ( s string ) {
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if ! * suppressScrapeErrors {
logger . ErrorfSkipframes ( 1 , "error when scraping %q from job %q with labels %s: %s" , sw . Config . ScrapeURL , sw . Config . Job ( ) , sw . Config . LabelsString ( ) , s )
}
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}
func ( sw * scrapeWork ) scrapeAndLogError ( timestamp int64 ) {
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if err := sw . scrapeInternal ( timestamp ) ; err != nil && ! * suppressScrapeErrors {
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logger . Errorf ( "error when scraping %q from job %q with labels %s: %s" , sw . Config . ScrapeURL , sw . Config . Job ( ) , sw . Config . LabelsString ( ) , err )
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}
}
var (
scrapeDuration = metrics . NewHistogram ( "vm_promscrape_scrape_duration_seconds" )
scrapeResponseSize = metrics . NewHistogram ( "vm_promscrape_scrape_response_size_bytes" )
scrapedSamples = metrics . NewHistogram ( "vm_promscrape_scraped_samples" )
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scrapesSkippedBySampleLimit = metrics . NewCounter ( "vm_promscrape_scrapes_skipped_by_sample_limit_total" )
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scrapesFailed = metrics . NewCounter ( "vm_promscrape_scrapes_failed_total" )
pushDataDuration = metrics . NewHistogram ( "vm_promscrape_push_data_duration_seconds" )
)
func ( sw * scrapeWork ) scrapeInternal ( timestamp int64 ) error {
var err error
sw . bodyBuf , err = sw . ReadData ( sw . bodyBuf [ : 0 ] )
endTimestamp := time . Now ( ) . UnixNano ( ) / 1e6
duration := float64 ( endTimestamp - timestamp ) / 1e3
scrapeDuration . Update ( duration )
scrapeResponseSize . Update ( float64 ( len ( sw . bodyBuf ) ) )
up := 1
if err != nil {
up = 0
scrapesFailed . Inc ( )
} else {
bodyString := bytesutil . ToUnsafeString ( sw . bodyBuf )
sw . rows . UnmarshalWithErrLogger ( bodyString , sw . logError )
}
srcRows := sw . rows . Rows
samplesScraped := len ( srcRows )
scrapedSamples . Update ( float64 ( samplesScraped ) )
for i := range srcRows {
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sw . addRowToTimeseries ( & srcRows [ i ] , timestamp , true )
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}
sw . rows . Reset ( )
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if sw . Config . SampleLimit > 0 && len ( sw . writeRequest . Timeseries ) > sw . Config . SampleLimit {
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prompbmarshal . ResetWriteRequest ( & sw . writeRequest )
up = 0
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scrapesSkippedBySampleLimit . Inc ( )
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}
samplesPostRelabeling := len ( sw . writeRequest . Timeseries )
sw . addAutoTimeseries ( "up" , float64 ( up ) , timestamp )
sw . addAutoTimeseries ( "scrape_duration_seconds" , duration , timestamp )
sw . addAutoTimeseries ( "scrape_samples_scraped" , float64 ( samplesScraped ) , timestamp )
sw . addAutoTimeseries ( "scrape_samples_post_metric_relabeling" , float64 ( samplesPostRelabeling ) , timestamp )
startTime := time . Now ( )
sw . PushData ( & sw . writeRequest )
pushDataDuration . UpdateDuration ( startTime )
prompbmarshal . ResetWriteRequest ( & sw . writeRequest )
sw . labels = sw . labels [ : 0 ]
sw . samples = sw . samples [ : 0 ]
tsmGlobal . Update ( & sw . Config , up == 1 , timestamp , int64 ( duration * 1000 ) , err )
return err
}
// addAutoTimeseries adds automatically generated time series with the given name, value and timestamp.
//
// See https://prometheus.io/docs/concepts/jobs_instances/#automatically-generated-labels-and-time-series
func ( sw * scrapeWork ) addAutoTimeseries ( name string , value float64 , timestamp int64 ) {
sw . tmpRow . Metric = name
sw . tmpRow . Tags = nil
sw . tmpRow . Value = value
sw . tmpRow . Timestamp = timestamp
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sw . addRowToTimeseries ( & sw . tmpRow , timestamp , false )
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}
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func ( sw * scrapeWork ) addRowToTimeseries ( r * parser . Row , timestamp int64 , needRelabel bool ) {
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labelsLen := len ( sw . labels )
sw . labels = appendLabels ( sw . labels , r . Metric , r . Tags , sw . Config . Labels , sw . Config . HonorLabels )
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if needRelabel {
sw . labels = promrelabel . ApplyRelabelConfigs ( sw . labels , labelsLen , sw . Config . MetricRelabelConfigs , true )
} else {
sw . labels = promrelabel . FinalizeLabels ( sw . labels [ : labelsLen ] , sw . labels [ labelsLen : ] )
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promrelabel . SortLabels ( sw . labels [ labelsLen : ] )
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}
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if len ( sw . labels ) == labelsLen {
// Skip row without labels.
return
}
labels := sw . labels [ labelsLen : ]
sw . samples = append ( sw . samples , prompbmarshal . Sample { } )
sample := & sw . samples [ len ( sw . samples ) - 1 ]
sample . Value = r . Value
sample . Timestamp = r . Timestamp
if ! sw . Config . HonorTimestamps || sample . Timestamp == 0 {
sample . Timestamp = timestamp
}
wr := & sw . writeRequest
wr . Timeseries = append ( wr . Timeseries , prompbmarshal . TimeSeries { } )
ts := & wr . Timeseries [ len ( wr . Timeseries ) - 1 ]
ts . Labels = labels
ts . Samples = sw . samples [ len ( sw . samples ) - 1 : ]
}
func appendLabels ( dst [ ] prompbmarshal . Label , metric string , src [ ] parser . Tag , extraLabels [ ] prompbmarshal . Label , honorLabels bool ) [ ] prompbmarshal . Label {
dstLen := len ( dst )
dst = append ( dst , prompbmarshal . Label {
Name : "__name__" ,
Value : metric ,
} )
for i := range src {
tag := & src [ i ]
dst = append ( dst , prompbmarshal . Label {
Name : tag . Key ,
Value : tag . Value ,
} )
}
dst = append ( dst , extraLabels ... )
labels := dst [ dstLen : ]
if len ( labels ) <= 1 {
// Fast path - only a single label.
return dst
}
// de-duplicate labels
dstLabels := labels [ : 0 ]
for i := range labels {
label := & labels [ i ]
prevLabel := promrelabel . GetLabelByName ( dstLabels , label . Name )
if prevLabel == nil {
dstLabels = append ( dstLabels , * label )
continue
}
if honorLabels {
// Skip the extra label with the same name.
continue
}
// Rename the prevLabel to "exported_" + label.Name.
// See https://prometheus.io/docs/prometheus/latest/configuration/configuration/#scrape_config
exportedName := "exported_" + label . Name
if promrelabel . GetLabelByName ( dstLabels , exportedName ) != nil {
// Override duplicate with the current label.
* prevLabel = * label
continue
}
prevLabel . Name = exportedName
dstLabels = append ( dstLabels , * label )
}
return dst [ : dstLen + len ( dstLabels ) ]
}