prometheus/scrape/scrape.go

// Copyright 2016 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.

package scrape

import (
	"bufio"
	"bytes"
	"context"
	"errors"
	"fmt"
	"io"
	"math"
	"net/http"
	"reflect"
	"slices"
	"strconv"
	"strings"
	"sync"
	"time"

	"github.com/go-kit/log"
	"github.com/go-kit/log/level"
	"github.com/klauspost/compress/gzip"
	config_util "github.com/prometheus/common/config"
	"github.com/prometheus/common/model"
	"github.com/prometheus/common/version"

	"github.com/prometheus/prometheus/config"
	"github.com/prometheus/prometheus/discovery/targetgroup"
	"github.com/prometheus/prometheus/model/exemplar"
	"github.com/prometheus/prometheus/model/histogram"
	"github.com/prometheus/prometheus/model/labels"
	"github.com/prometheus/prometheus/model/metadata"
	"github.com/prometheus/prometheus/model/relabel"
	"github.com/prometheus/prometheus/model/textparse"
	"github.com/prometheus/prometheus/model/timestamp"
	"github.com/prometheus/prometheus/model/value"
	"github.com/prometheus/prometheus/storage"
	"github.com/prometheus/prometheus/util/convertnhcb"
	"github.com/prometheus/prometheus/util/pool"
)

// ScrapeTimestampTolerance is the tolerance for scrape appends timestamps
// alignment, to enable better compression at the TSDB level.
// See https://github.com/prometheus/prometheus/issues/7846
var ScrapeTimestampTolerance = 2 * time.Millisecond

// AlignScrapeTimestamps enables the tolerance for scrape appends timestamps described above.
var AlignScrapeTimestamps = true

var errNameLabelMandatory = fmt.Errorf("missing metric name (%s label)", labels.MetricName)

// scrapePool manages scrapes for sets of targets.
type scrapePool struct {
	appendable storage.Appendable
	logger     log.Logger
	cancel     context.CancelFunc
	httpOpts   []config_util.HTTPClientOption

	// mtx must not be taken after targetMtx.
	mtx    sync.Mutex
	config *config.ScrapeConfig
	client *http.Client
	loops  map[uint64]loop

	symbolTable           *labels.SymbolTable
	lastSymbolTableCheck  time.Time
	initialSymbolTableLen int

	targetMtx sync.Mutex
	// activeTargets and loops must always be synchronized to have the same
	// set of hashes.
	activeTargets       map[uint64]*Target
	droppedTargets      []*Target // Subject to KeepDroppedTargets limit.
	droppedTargetsCount int       // Count of all dropped targets.

	// Constructor for new scrape loops. This is settable for testing convenience.
	newLoop func(scrapeLoopOptions) loop

	noDefaultPort bool

	metrics *scrapeMetrics
}

type labelLimits struct {
	labelLimit            int
	labelNameLengthLimit  int
	labelValueLengthLimit int
}

type scrapeLoopOptions struct {
	target                   *Target
	scraper                  scraper
	sampleLimit              int
	bucketLimit              int
	maxSchema                int32
	labelLimits              *labelLimits
	honorLabels              bool
	honorTimestamps          bool
	trackTimestampsStaleness bool
	interval                 time.Duration
	timeout                  time.Duration
	scrapeClassicHistograms  bool
	convertClassicHistograms bool

	mrc               []*relabel.Config
	cache             *scrapeCache
	enableCompression bool
}

const maxAheadTime = 10 * time.Minute

// returning an empty label set is interpreted as "drop".
type labelsMutator func(labels.Labels) labels.Labels

func newScrapePool(cfg *config.ScrapeConfig, app storage.Appendable, offsetSeed uint64, logger log.Logger, buffers *pool.Pool, options *Options, metrics *scrapeMetrics) (*scrapePool, error) {
	if logger == nil {
		logger = log.NewNopLogger()
	}

	client, err := config_util.NewClientFromConfig(cfg.HTTPClientConfig, cfg.JobName, options.HTTPClientOptions...)
	if err != nil {
		return nil, fmt.Errorf("error creating HTTP client: %w", err)
	}

	ctx, cancel := context.WithCancel(context.Background())
	sp := &scrapePool{
		cancel:               cancel,
		appendable:           app,
		config:               cfg,
		client:               client,
		activeTargets:        map[uint64]*Target{},
		loops:                map[uint64]loop{},
		symbolTable:          labels.NewSymbolTable(),
		lastSymbolTableCheck: time.Now(),
		logger:               logger,
		metrics:              metrics,
		httpOpts:             options.HTTPClientOptions,
		noDefaultPort:        options.NoDefaultPort,
	}
	sp.newLoop = func(opts scrapeLoopOptions) loop {
		// Update the targets retrieval function for metadata to a new scrape cache.
		cache := opts.cache
		if cache == nil {
			cache = newScrapeCache(metrics)
		}
		opts.target.SetMetadataStore(cache)

		return newScrapeLoop(
			ctx,
			opts.scraper,
			log.With(logger, "target", opts.target),
			buffers,
			func(l labels.Labels) labels.Labels {
				return mutateSampleLabels(l, opts.target, opts.honorLabels, opts.mrc)
			},
			func(l labels.Labels) labels.Labels { return mutateReportSampleLabels(l, opts.target) },
			func(ctx context.Context) storage.Appender { return app.Appender(ctx) },
			cache,
			sp.symbolTable,
			offsetSeed,
			opts.honorTimestamps,
			opts.trackTimestampsStaleness,
			opts.enableCompression,
			opts.sampleLimit,
			opts.bucketLimit,
			opts.maxSchema,
			opts.labelLimits,
			opts.interval,
			opts.timeout,
			opts.scrapeClassicHistograms,
			opts.convertClassicHistograms,
			options.EnableNativeHistogramsIngestion,
			options.EnableCreatedTimestampZeroIngestion,
			options.ExtraMetrics,
			options.EnableMetadataStorage,
			opts.target,
			options.PassMetadataInContext,
			metrics,
			options.skipOffsetting,
		)
	}
	sp.metrics.targetScrapePoolTargetLimit.WithLabelValues(sp.config.JobName).Set(float64(sp.config.TargetLimit))
	return sp, nil
}

func (sp *scrapePool) ActiveTargets() []*Target {
	sp.targetMtx.Lock()
	defer sp.targetMtx.Unlock()

	var tActive []*Target
	for _, t := range sp.activeTargets {
		tActive = append(tActive, t)
	}
	return tActive
}

// Return dropped targets, subject to KeepDroppedTargets limit.
func (sp *scrapePool) DroppedTargets() []*Target {
	sp.targetMtx.Lock()
	defer sp.targetMtx.Unlock()
	return sp.droppedTargets
}

func (sp *scrapePool) DroppedTargetsCount() int {
	sp.targetMtx.Lock()
	defer sp.targetMtx.Unlock()
	return sp.droppedTargetsCount
}

// stop terminates all scrape loops and returns after they all terminated.
func (sp *scrapePool) stop() {
	sp.mtx.Lock()
	defer sp.mtx.Unlock()
	sp.cancel()
	var wg sync.WaitGroup

	sp.targetMtx.Lock()

	for fp, l := range sp.loops {
		wg.Add(1)

		go func(l loop) {
			l.stop()
			wg.Done()
		}(l)

		delete(sp.loops, fp)
		delete(sp.activeTargets, fp)
	}

	sp.targetMtx.Unlock()

	wg.Wait()
	sp.client.CloseIdleConnections()

	if sp.config != nil {
		sp.metrics.targetScrapePoolSyncsCounter.DeleteLabelValues(sp.config.JobName)
		sp.metrics.targetScrapePoolTargetLimit.DeleteLabelValues(sp.config.JobName)
		sp.metrics.targetScrapePoolTargetsAdded.DeleteLabelValues(sp.config.JobName)
		sp.metrics.targetSyncIntervalLength.DeleteLabelValues(sp.config.JobName)
		sp.metrics.targetSyncFailed.DeleteLabelValues(sp.config.JobName)
	}
}

// reload the scrape pool with the given scrape configuration. The target state is preserved
// but all scrape loops are restarted with the new scrape configuration.
// This method returns after all scrape loops that were stopped have stopped scraping.
func (sp *scrapePool) reload(cfg *config.ScrapeConfig) error {
	sp.mtx.Lock()
	defer sp.mtx.Unlock()
	sp.metrics.targetScrapePoolReloads.Inc()
	start := time.Now()

	client, err := config_util.NewClientFromConfig(cfg.HTTPClientConfig, cfg.JobName, sp.httpOpts...)
	if err != nil {
		sp.metrics.targetScrapePoolReloadsFailed.Inc()
		return fmt.Errorf("error creating HTTP client: %w", err)
	}

	reuseCache := reusableCache(sp.config, cfg)
	sp.config = cfg
	oldClient := sp.client
	sp.client = client

	sp.metrics.targetScrapePoolTargetLimit.WithLabelValues(sp.config.JobName).Set(float64(sp.config.TargetLimit))

	var (
		wg            sync.WaitGroup
		interval      = time.Duration(sp.config.ScrapeInterval)
		timeout       = time.Duration(sp.config.ScrapeTimeout)
		bodySizeLimit = int64(sp.config.BodySizeLimit)
		sampleLimit   = int(sp.config.SampleLimit)
		bucketLimit   = int(sp.config.NativeHistogramBucketLimit)
		maxSchema     = pickSchema(sp.config.NativeHistogramMinBucketFactor)
		labelLimits   = &labelLimits{
			labelLimit:            int(sp.config.LabelLimit),
			labelNameLengthLimit:  int(sp.config.LabelNameLengthLimit),
			labelValueLengthLimit: int(sp.config.LabelValueLengthLimit),
		}
		honorLabels              = sp.config.HonorLabels
		honorTimestamps          = sp.config.HonorTimestamps
		enableCompression        = sp.config.EnableCompression
		trackTimestampsStaleness = sp.config.TrackTimestampsStaleness
		mrc                      = sp.config.MetricRelabelConfigs
	)

	sp.targetMtx.Lock()

	forcedErr := sp.refreshTargetLimitErr()
	for fp, oldLoop := range sp.loops {
		var cache *scrapeCache
		if oc := oldLoop.getCache(); reuseCache && oc != nil {
			oldLoop.disableEndOfRunStalenessMarkers()
			cache = oc
		} else {
			cache = newScrapeCache(sp.metrics)
		}

		t := sp.activeTargets[fp]
		interval, timeout, err := t.intervalAndTimeout(interval, timeout)
		var (
			s = &targetScraper{
				Target:               t,
				client:               sp.client,
				timeout:              timeout,
				bodySizeLimit:        bodySizeLimit,
				acceptHeader:         acceptHeader(cfg.ScrapeProtocols),
				acceptEncodingHeader: acceptEncodingHeader(enableCompression),
			}
			newLoop = sp.newLoop(scrapeLoopOptions{
				target:                   t,
				scraper:                  s,
				sampleLimit:              sampleLimit,
				bucketLimit:              bucketLimit,
				maxSchema:                maxSchema,
				labelLimits:              labelLimits,
				honorLabels:              honorLabels,
				honorTimestamps:          honorTimestamps,
				enableCompression:        enableCompression,
				trackTimestampsStaleness: trackTimestampsStaleness,
				mrc:                      mrc,
				cache:                    cache,
				interval:                 interval,
				timeout:                  timeout,
			})
		)
		if err != nil {
			newLoop.setForcedError(err)
		}
		wg.Add(1)

		go func(oldLoop, newLoop loop) {
			oldLoop.stop()
			wg.Done()

			newLoop.setForcedError(forcedErr)
			newLoop.run(nil)
		}(oldLoop, newLoop)

		sp.loops[fp] = newLoop
	}

	sp.targetMtx.Unlock()

	wg.Wait()
	oldClient.CloseIdleConnections()
	sp.metrics.targetReloadIntervalLength.WithLabelValues(interval.String()).Observe(
		time.Since(start).Seconds(),
	)

	// Here we take steps to clear out the symbol table if it has grown a lot.
	// After waiting some time for things to settle, we take the size of the symbol-table.
	// If, after some more time, the table has grown to twice that size, we start a new one.
	const minTimeToCleanSymbolTable = 5 * time.Minute
	if time.Since(sp.lastSymbolTableCheck) > minTimeToCleanSymbolTable {
		if sp.initialSymbolTableLen == 0 {
			sp.initialSymbolTableLen = sp.symbolTable.Len()
		} else if sp.symbolTable.Len() > 2*sp.initialSymbolTableLen {
			sp.symbolTable = labels.NewSymbolTable()
			sp.initialSymbolTableLen = 0
		}
		sp.lastSymbolTableCheck = time.Now()
	}

	return nil
}

// Sync converts target groups into actual scrape targets and synchronizes
// the currently running scraper with the resulting set and returns all scraped and dropped targets.
func (sp *scrapePool) Sync(tgs []*targetgroup.Group) {
	sp.mtx.Lock()
	defer sp.mtx.Unlock()
	start := time.Now()

	sp.targetMtx.Lock()
	var all []*Target
	var targets []*Target
	lb := labels.NewBuilderWithSymbolTable(sp.symbolTable)
	sp.droppedTargets = []*Target{}
	sp.droppedTargetsCount = 0
	for _, tg := range tgs {
		targets, failures := TargetsFromGroup(tg, sp.config, sp.noDefaultPort, targets, lb)
		for _, err := range failures {
			level.Error(sp.logger).Log("msg", "Creating target failed", "err", err)
		}
		sp.metrics.targetSyncFailed.WithLabelValues(sp.config.JobName).Add(float64(len(failures)))
		for _, t := range targets {
			// Replicate .Labels().IsEmpty() with a loop here to avoid generating garbage.
			nonEmpty := false
			t.LabelsRange(func(l labels.Label) { nonEmpty = true })
			switch {
			case nonEmpty:
				all = append(all, t)
			case !t.discoveredLabels.IsEmpty():
				if sp.config.KeepDroppedTargets == 0 || uint(len(sp.droppedTargets)) < sp.config.KeepDroppedTargets {
					sp.droppedTargets = append(sp.droppedTargets, t)
				}
				sp.droppedTargetsCount++
			}
		}
	}
	sp.targetMtx.Unlock()
	sp.sync(all)

	sp.metrics.targetSyncIntervalLength.WithLabelValues(sp.config.JobName).Observe(
		time.Since(start).Seconds(),
	)
	sp.metrics.targetScrapePoolSyncsCounter.WithLabelValues(sp.config.JobName).Inc()
}

// sync takes a list of potentially duplicated targets, deduplicates them, starts
// scrape loops for new targets, and stops scrape loops for disappeared targets.
// It returns after all stopped scrape loops terminated.
func (sp *scrapePool) sync(targets []*Target) {
	var (
		uniqueLoops   = make(map[uint64]loop)
		interval      = time.Duration(sp.config.ScrapeInterval)
		timeout       = time.Duration(sp.config.ScrapeTimeout)
		bodySizeLimit = int64(sp.config.BodySizeLimit)
		sampleLimit   = int(sp.config.SampleLimit)
		bucketLimit   = int(sp.config.NativeHistogramBucketLimit)
		maxSchema     = pickSchema(sp.config.NativeHistogramMinBucketFactor)
		labelLimits   = &labelLimits{
			labelLimit:            int(sp.config.LabelLimit),
			labelNameLengthLimit:  int(sp.config.LabelNameLengthLimit),
			labelValueLengthLimit: int(sp.config.LabelValueLengthLimit),
		}
		honorLabels              = sp.config.HonorLabels
		honorTimestamps          = sp.config.HonorTimestamps
		enableCompression        = sp.config.EnableCompression
		trackTimestampsStaleness = sp.config.TrackTimestampsStaleness
		mrc                      = sp.config.MetricRelabelConfigs
		scrapeClassicHistograms  = sp.config.ScrapeClassicHistograms
		convertClassicHistograms = sp.config.ConvertClassicHistograms
	)

	sp.targetMtx.Lock()
	for _, t := range targets {
		hash := t.hash()

		if _, ok := sp.activeTargets[hash]; !ok {
			// The scrape interval and timeout labels are set to the config's values initially,
			// so whether changed via relabeling or not, they'll exist and hold the correct values
			// for every target.
			var err error
			interval, timeout, err = t.intervalAndTimeout(interval, timeout)
			s := &targetScraper{
				Target:               t,
				client:               sp.client,
				timeout:              timeout,
				bodySizeLimit:        bodySizeLimit,
				acceptHeader:         acceptHeader(sp.config.ScrapeProtocols),
				acceptEncodingHeader: acceptEncodingHeader(enableCompression),
				metrics:              sp.metrics,
			}
			l := sp.newLoop(scrapeLoopOptions{
				target:                   t,
				scraper:                  s,
				sampleLimit:              sampleLimit,
				bucketLimit:              bucketLimit,
				maxSchema:                maxSchema,
				labelLimits:              labelLimits,
				honorLabels:              honorLabels,
				honorTimestamps:          honorTimestamps,
				enableCompression:        enableCompression,
				trackTimestampsStaleness: trackTimestampsStaleness,
				mrc:                      mrc,
				interval:                 interval,
				timeout:                  timeout,
				scrapeClassicHistograms:  scrapeClassicHistograms,
				convertClassicHistograms: convertClassicHistograms,
			})
			if err != nil {
				l.setForcedError(err)
			}

			sp.activeTargets[hash] = t
			sp.loops[hash] = l

			uniqueLoops[hash] = l
		} else {
			// This might be a duplicated target.
			if _, ok := uniqueLoops[hash]; !ok {
				uniqueLoops[hash] = nil
			}
			// Need to keep the most updated labels information
			// for displaying it in the Service Discovery web page.
			sp.activeTargets[hash].SetDiscoveredLabels(t.DiscoveredLabels())
		}
	}

	var wg sync.WaitGroup

	// Stop and remove old targets and scraper loops.
	for hash := range sp.activeTargets {
		if _, ok := uniqueLoops[hash]; !ok {
			wg.Add(1)
			go func(l loop) {
				l.stop()
				wg.Done()
			}(sp.loops[hash])

			delete(sp.loops, hash)
			delete(sp.activeTargets, hash)
		}
	}

	sp.targetMtx.Unlock()

	sp.metrics.targetScrapePoolTargetsAdded.WithLabelValues(sp.config.JobName).Set(float64(len(uniqueLoops)))
	forcedErr := sp.refreshTargetLimitErr()
	for _, l := range sp.loops {
		l.setForcedError(forcedErr)
	}
	for _, l := range uniqueLoops {
		if l != nil {
			go l.run(nil)
		}
	}
	// Wait for all potentially stopped scrapers to terminate.
	// This covers the case of flapping targets. If the server is under high load, a new scraper
	// may be active and tries to insert. The old scraper that didn't terminate yet could still
	// be inserting a previous sample set.
	wg.Wait()
}

// refreshTargetLimitErr returns an error that can be passed to the scrape loops
// if the number of targets exceeds the configured limit.
func (sp *scrapePool) refreshTargetLimitErr() error {
	if sp.config == nil || sp.config.TargetLimit == 0 {
		return nil
	}
	if l := len(sp.activeTargets); l > int(sp.config.TargetLimit) {
		sp.metrics.targetScrapePoolExceededTargetLimit.Inc()
		return fmt.Errorf("target_limit exceeded (number of targets: %d, limit: %d)", l, sp.config.TargetLimit)
	}
	return nil
}

func verifyLabelLimits(lset labels.Labels, limits *labelLimits) error {
	if limits == nil {
		return nil
	}

	met := lset.Get(labels.MetricName)
	if limits.labelLimit > 0 {
		nbLabels := lset.Len()
		if nbLabels > limits.labelLimit {
			return fmt.Errorf("label_limit exceeded (metric: %.50s, number of labels: %d, limit: %d)", met, nbLabels, limits.labelLimit)
		}
	}

	if limits.labelNameLengthLimit == 0 && limits.labelValueLengthLimit == 0 {
		return nil
	}

	return lset.Validate(func(l labels.Label) error {
		if limits.labelNameLengthLimit > 0 {
			nameLength := len(l.Name)
			if nameLength > limits.labelNameLengthLimit {
				return fmt.Errorf("label_name_length_limit exceeded (metric: %.50s, label name: %.50s, length: %d, limit: %d)", met, l.Name, nameLength, limits.labelNameLengthLimit)
			}
		}

		if limits.labelValueLengthLimit > 0 {
			valueLength := len(l.Value)
			if valueLength > limits.labelValueLengthLimit {
				return fmt.Errorf("label_value_length_limit exceeded (metric: %.50s, label name: %.50s, value: %.50q, length: %d, limit: %d)", met, l.Name, l.Value, valueLength, limits.labelValueLengthLimit)
			}
		}
		return nil
	})
}

func mutateSampleLabels(lset labels.Labels, target *Target, honor bool, rc []*relabel.Config) labels.Labels {
	lb := labels.NewBuilder(lset)

	if honor {
		target.LabelsRange(func(l labels.Label) {
			if !lset.Has(l.Name) {
				lb.Set(l.Name, l.Value)
			}
		})
	} else {
		var conflictingExposedLabels []labels.Label
		target.LabelsRange(func(l labels.Label) {
			existingValue := lset.Get(l.Name)
			if existingValue != "" {
				conflictingExposedLabels = append(conflictingExposedLabels, labels.Label{Name: l.Name, Value: existingValue})
			}
			// It is now safe to set the target label.
			lb.Set(l.Name, l.Value)
		})

		if len(conflictingExposedLabels) > 0 {
			resolveConflictingExposedLabels(lb, conflictingExposedLabels)
		}
	}

	res := lb.Labels()

	if len(rc) > 0 {
		res, _ = relabel.Process(res, rc...)
	}

	return res
}

func resolveConflictingExposedLabels(lb *labels.Builder, conflictingExposedLabels []labels.Label) {
	slices.SortStableFunc(conflictingExposedLabels, func(a, b labels.Label) int {
		return len(a.Name) - len(b.Name)
	})

	for _, l := range conflictingExposedLabels {
		newName := l.Name
		for {
			newName = model.ExportedLabelPrefix + newName
			if lb.Get(newName) == "" {
				lb.Set(newName, l.Value)
				break
			}
		}
	}
}

func mutateReportSampleLabels(lset labels.Labels, target *Target) labels.Labels {
	lb := labels.NewBuilder(lset)

	target.LabelsRange(func(l labels.Label) {
		lb.Set(model.ExportedLabelPrefix+l.Name, lset.Get(l.Name))
		lb.Set(l.Name, l.Value)
	})

	return lb.Labels()
}

// appender returns an appender for ingested samples from the target.
func appender(app storage.Appender, sampleLimit, bucketLimit int, maxSchema int32) storage.Appender {
	app = &timeLimitAppender{
		Appender: app,
		maxTime:  timestamp.FromTime(time.Now().Add(maxAheadTime)),
	}

	// The sampleLimit is applied after metrics are potentially dropped via relabeling.
	if sampleLimit > 0 {
		app = &limitAppender{
			Appender: app,
			limit:    sampleLimit,
		}
	}

	if bucketLimit > 0 {
		app = &bucketLimitAppender{
			Appender: app,
			limit:    bucketLimit,
		}
	}

	if maxSchema < histogram.ExponentialSchemaMax {
		app = &maxSchemaAppender{
			Appender:  app,
			maxSchema: maxSchema,
		}
	}

	return app
}

// A scraper retrieves samples and accepts a status report at the end.
type scraper interface {
	scrape(ctx context.Context) (*http.Response, error)
	readResponse(ctx context.Context, resp *http.Response, w io.Writer) (string, error)
	Report(start time.Time, dur time.Duration, err error)
	offset(interval time.Duration, offsetSeed uint64) time.Duration
}

// targetScraper implements the scraper interface for a target.
type targetScraper struct {
	*Target

	client  *http.Client
	req     *http.Request
	timeout time.Duration

	gzipr *gzip.Reader
	buf   *bufio.Reader

	bodySizeLimit        int64
	acceptHeader         string
	acceptEncodingHeader string

	metrics *scrapeMetrics
}

var errBodySizeLimit = errors.New("body size limit exceeded")

// acceptHeader transforms preference from the options into specific header values as
// https://www.rfc-editor.org/rfc/rfc9110.html#name-accept defines.
// No validation is here, we expect scrape protocols to be validated already.
func acceptHeader(sps []config.ScrapeProtocol) string {
	var vals []string
	weight := len(config.ScrapeProtocolsHeaders) + 1
	for _, sp := range sps {
		vals = append(vals, fmt.Sprintf("%s;q=0.%d", config.ScrapeProtocolsHeaders[sp], weight))
		weight--
	}
	// Default match anything.
	vals = append(vals, fmt.Sprintf("*/*;q=0.%d", weight))
	return strings.Join(vals, ",")
}

func acceptEncodingHeader(enableCompression bool) string {
	if enableCompression {
		return "gzip"
	}
	return "identity"
}

var UserAgent = fmt.Sprintf("Prometheus/%s", version.Version)

func (s *targetScraper) scrape(ctx context.Context) (*http.Response, error) {
	if s.req == nil {
		req, err := http.NewRequest(http.MethodGet, s.URL().String(), nil)
		if err != nil {
			return nil, err
		}
		req.Header.Add("Accept", s.acceptHeader)
		req.Header.Add("Accept-Encoding", s.acceptEncodingHeader)
		req.Header.Set("User-Agent", UserAgent)
		req.Header.Set("X-Prometheus-Scrape-Timeout-Seconds", strconv.FormatFloat(s.timeout.Seconds(), 'f', -1, 64))

		s.req = req
	}

	return s.client.Do(s.req.WithContext(ctx))
}

func (s *targetScraper) readResponse(ctx context.Context, resp *http.Response, w io.Writer) (string, error) {
	defer func() {
		io.Copy(io.Discard, resp.Body)
		resp.Body.Close()
	}()

	if resp.StatusCode != http.StatusOK {
		return "", fmt.Errorf("server returned HTTP status %s", resp.Status)
	}

	if s.bodySizeLimit <= 0 {
		s.bodySizeLimit = math.MaxInt64
	}
	if resp.Header.Get("Content-Encoding") != "gzip" {
		n, err := io.Copy(w, io.LimitReader(resp.Body, s.bodySizeLimit))
		if err != nil {
			return "", err
		}
		if n >= s.bodySizeLimit {
			s.metrics.targetScrapeExceededBodySizeLimit.Inc()
			return "", errBodySizeLimit
		}
		return resp.Header.Get("Content-Type"), nil
	}

	if s.gzipr == nil {
		s.buf = bufio.NewReader(resp.Body)
		var err error
		s.gzipr, err = gzip.NewReader(s.buf)
		if err != nil {
			return "", err
		}
	} else {
		s.buf.Reset(resp.Body)
		if err := s.gzipr.Reset(s.buf); err != nil {
			return "", err
		}
	}

	n, err := io.Copy(w, io.LimitReader(s.gzipr, s.bodySizeLimit))
	s.gzipr.Close()
	if err != nil {
		return "", err
	}
	if n >= s.bodySizeLimit {
		s.metrics.targetScrapeExceededBodySizeLimit.Inc()
		return "", errBodySizeLimit
	}
	return resp.Header.Get("Content-Type"), nil
}

// A loop can run and be stopped again. It must not be reused after it was stopped.
type loop interface {
	run(errc chan<- error)
	setForcedError(err error)
	stop()
	getCache() *scrapeCache
	disableEndOfRunStalenessMarkers()
}

type cacheEntry struct {
	ref      storage.SeriesRef
	lastIter uint64
	hash     uint64
	lset     labels.Labels
}

type scrapeLoop struct {
	scraper                  scraper
	l                        log.Logger
	cache                    *scrapeCache
	lastScrapeSize           int
	buffers                  *pool.Pool
	offsetSeed               uint64
	honorTimestamps          bool
	trackTimestampsStaleness bool
	enableCompression        bool
	forcedErr                error
	forcedErrMtx             sync.Mutex
	sampleLimit              int
	bucketLimit              int
	maxSchema                int32
	labelLimits              *labelLimits
	interval                 time.Duration
	timeout                  time.Duration
	scrapeClassicHistograms  bool
	convertClassicHistograms bool

	// Feature flagged options.
	enableNativeHistogramIngestion bool
	enableCTZeroIngestion          bool

	appender            func(ctx context.Context) storage.Appender
	symbolTable         *labels.SymbolTable
	sampleMutator       labelsMutator
	reportSampleMutator labelsMutator

	parentCtx   context.Context
	appenderCtx context.Context
	ctx         context.Context
	cancel      func()
	stopped     chan struct{}

	disabledEndOfRunStalenessMarkers bool

	reportExtraMetrics  bool
	appendMetadataToWAL bool

	metrics *scrapeMetrics

	skipOffsetting bool // For testability.
}

// scrapeCache tracks mappings of exposed metric strings to label sets and
// storage references. Additionally, it tracks staleness of series between
// scrapes.
type scrapeCache struct {
	iter uint64 // Current scrape iteration.

	// How many series and metadata entries there were at the last success.
	successfulCount int

	// Parsed string to an entry with information about the actual label set
	// and its storage reference.
	series map[string]*cacheEntry

	// Cache of dropped metric strings and their iteration. The iteration must
	// be a pointer so we can update it.
	droppedSeries map[string]*uint64

	// seriesCur and seriesPrev store the labels of series that were seen
	// in the current and previous scrape.
	// We hold two maps and swap them out to save allocations.
	seriesCur  map[uint64]labels.Labels
	seriesPrev map[uint64]labels.Labels

	metaMtx  sync.Mutex
	metadata map[string]*metaEntry

	metrics *scrapeMetrics

	nhcbLabels  map[uint64]labels.Labels
	nhcbBuilder map[uint64]convertnhcb.TempHistogram
}

// metaEntry holds meta information about a metric.
type metaEntry struct {
	metadata.Metadata

	lastIter       uint64 // Last scrape iteration the entry was observed at.
	lastIterChange uint64 // Last scrape iteration the entry was changed at.
}

func (m *metaEntry) size() int {
	// The attribute lastIter although part of the struct it is not metadata.
	return len(m.Help) + len(m.Unit) + len(m.Type)
}

func newScrapeCache(metrics *scrapeMetrics) *scrapeCache {
	return &scrapeCache{
		series:        map[string]*cacheEntry{},
		droppedSeries: map[string]*uint64{},
		seriesCur:     map[uint64]labels.Labels{},
		seriesPrev:    map[uint64]labels.Labels{},
		metadata:      map[string]*metaEntry{},
		metrics:       metrics,
		nhcbLabels:    map[uint64]labels.Labels{},
		nhcbBuilder:   map[uint64]convertnhcb.TempHistogram{},
	}
}

func (c *scrapeCache) iterDone(flushCache bool) {
	c.metaMtx.Lock()
	count := len(c.series) + len(c.droppedSeries) + len(c.metadata)
	c.metaMtx.Unlock()

	switch {
	case flushCache:
		c.successfulCount = count
	case count > c.successfulCount*2+1000:
		// If a target had varying labels in scrapes that ultimately failed,
		// the caches would grow indefinitely. Force a flush when this happens.
		// We use the heuristic that this is a doubling of the cache size
		// since the last scrape, and allow an additional 1000 in case
		// initial scrapes all fail.
		flushCache = true
		c.metrics.targetScrapeCacheFlushForced.Inc()
	}

	if flushCache {
		// All caches may grow over time through series churn
		// or multiple string representations of the same metric. Clean up entries
		// that haven't appeared in the last scrape.
		for s, e := range c.series {
			if c.iter != e.lastIter {
				delete(c.series, s)
			}
		}
		for s, iter := range c.droppedSeries {
			if c.iter != *iter {
				delete(c.droppedSeries, s)
			}
		}
		c.metaMtx.Lock()
		for m, e := range c.metadata {
			// Keep metadata around for 10 scrapes after its metric disappeared.
			if c.iter-e.lastIter > 10 {
				delete(c.metadata, m)
			}
		}
		c.metaMtx.Unlock()

		c.iter++
	}

	// Swap current and previous series.
	c.seriesPrev, c.seriesCur = c.seriesCur, c.seriesPrev

	// We have to delete every single key in the map.
	for k := range c.seriesCur {
		delete(c.seriesCur, k)
	}
}

func (c *scrapeCache) get(met []byte) (*cacheEntry, bool, bool) {
	e, ok := c.series[string(met)]
	if !ok {
		return nil, false, false
	}
	alreadyScraped := e.lastIter == c.iter
	e.lastIter = c.iter
	return e, true, alreadyScraped
}

func (c *scrapeCache) addRef(met []byte, ref storage.SeriesRef, lset labels.Labels, hash uint64) {
	if ref == 0 {
		return
	}
	c.series[string(met)] = &cacheEntry{ref: ref, lastIter: c.iter, lset: lset, hash: hash}
}

func (c *scrapeCache) addDropped(met []byte) {
	iter := c.iter
	c.droppedSeries[string(met)] = &iter
}

func (c *scrapeCache) getDropped(met []byte) bool {
	iterp, ok := c.droppedSeries[string(met)]
	if ok {
		*iterp = c.iter
	}
	return ok
}

func (c *scrapeCache) trackStaleness(hash uint64, lset labels.Labels) {
	c.seriesCur[hash] = lset
}

func (c *scrapeCache) forEachStale(f func(labels.Labels) bool) {
	for h, lset := range c.seriesPrev {
		if _, ok := c.seriesCur[h]; !ok {
			if !f(lset) {
				break
			}
		}
	}
}

func (c *scrapeCache) setType(metric []byte, t model.MetricType) {
	c.metaMtx.Lock()

	e, ok := c.metadata[string(metric)]
	if !ok {
		e = &metaEntry{Metadata: metadata.Metadata{Type: model.MetricTypeUnknown}}
		c.metadata[string(metric)] = e
	}
	if e.Type != t {
		e.Type = t
		e.lastIterChange = c.iter
	}
	e.lastIter = c.iter

	c.metaMtx.Unlock()
}

func (c *scrapeCache) setHelp(metric, help []byte) {
	c.metaMtx.Lock()

	e, ok := c.metadata[string(metric)]
	if !ok {
		e = &metaEntry{Metadata: metadata.Metadata{Type: model.MetricTypeUnknown}}
		c.metadata[string(metric)] = e
	}
	if e.Help != string(help) {
		e.Help = string(help)
		e.lastIterChange = c.iter
	}
	e.lastIter = c.iter

	c.metaMtx.Unlock()
}

func (c *scrapeCache) setUnit(metric, unit []byte) {
	c.metaMtx.Lock()

	e, ok := c.metadata[string(metric)]
	if !ok {
		e = &metaEntry{Metadata: metadata.Metadata{Type: model.MetricTypeUnknown}}
		c.metadata[string(metric)] = e
	}
	if e.Unit != string(unit) {
		e.Unit = string(unit)
		e.lastIterChange = c.iter
	}
	e.lastIter = c.iter

	c.metaMtx.Unlock()
}

func (c *scrapeCache) GetMetadata(metric string) (MetricMetadata, bool) {
	c.metaMtx.Lock()
	defer c.metaMtx.Unlock()

	m, ok := c.metadata[metric]
	if !ok {
		return MetricMetadata{}, false
	}
	return MetricMetadata{
		Metric: metric,
		Type:   m.Type,
		Help:   m.Help,
		Unit:   m.Unit,
	}, true
}

func (c *scrapeCache) ListMetadata() []MetricMetadata {
	c.metaMtx.Lock()
	defer c.metaMtx.Unlock()

	res := make([]MetricMetadata, 0, len(c.metadata))

	for m, e := range c.metadata {
		res = append(res, MetricMetadata{
			Metric: m,
			Type:   e.Type,
			Help:   e.Help,
			Unit:   e.Unit,
		})
	}
	return res
}

// MetadataSize returns the size of the metadata cache.
func (c *scrapeCache) SizeMetadata() (s int) {
	c.metaMtx.Lock()
	defer c.metaMtx.Unlock()
	for _, e := range c.metadata {
		s += e.size()
	}

	return s
}

// MetadataLen returns the number of metadata entries in the cache.
func (c *scrapeCache) LengthMetadata() int {
	c.metaMtx.Lock()
	defer c.metaMtx.Unlock()

	return len(c.metadata)
}

func (c *scrapeCache) resetNhcb() {
	c.nhcbLabels = map[uint64]labels.Labels{}
	c.nhcbBuilder = map[uint64]convertnhcb.TempHistogram{}
}

func newScrapeLoop(ctx context.Context,
	sc scraper,
	l log.Logger,
	buffers *pool.Pool,
	sampleMutator labelsMutator,
	reportSampleMutator labelsMutator,
	appender func(ctx context.Context) storage.Appender,
	cache *scrapeCache,
	symbolTable *labels.SymbolTable,
	offsetSeed uint64,
	honorTimestamps bool,
	trackTimestampsStaleness bool,
	enableCompression bool,
	sampleLimit int,
	bucketLimit int,
	maxSchema int32,
	labelLimits *labelLimits,
	interval time.Duration,
	timeout time.Duration,
	scrapeClassicHistograms bool,
	convertClassicHistograms bool,
	enableNativeHistogramIngestion bool,
	enableCTZeroIngestion bool,
	reportExtraMetrics bool,
	appendMetadataToWAL bool,
	target *Target,
	passMetadataInContext bool,
	metrics *scrapeMetrics,
	skipOffsetting bool,
) *scrapeLoop {
	if l == nil {
		l = log.NewNopLogger()
	}
	if buffers == nil {
		buffers = pool.New(1e3, 1e6, 3, func(sz int) interface{} { return make([]byte, 0, sz) })
	}
	if cache == nil {
		cache = newScrapeCache(metrics)
	}

	appenderCtx := ctx

	if passMetadataInContext {
		// Store the cache and target in the context. This is then used by downstream OTel Collector
		// to lookup the metadata required to process the samples. Not used by Prometheus itself.
		// TODO(gouthamve) We're using a dedicated context because using the parentCtx caused a memory
		// leak. We should ideally fix the main leak. See: https://github.com/prometheus/prometheus/pull/10590
		appenderCtx = ContextWithMetricMetadataStore(appenderCtx, cache)
		appenderCtx = ContextWithTarget(appenderCtx, target)
	}

	sl := &scrapeLoop{
		scraper:                        sc,
		buffers:                        buffers,
		cache:                          cache,
		appender:                       appender,
		symbolTable:                    symbolTable,
		sampleMutator:                  sampleMutator,
		reportSampleMutator:            reportSampleMutator,
		stopped:                        make(chan struct{}),
		offsetSeed:                     offsetSeed,
		l:                              l,
		parentCtx:                      ctx,
		appenderCtx:                    appenderCtx,
		honorTimestamps:                honorTimestamps,
		trackTimestampsStaleness:       trackTimestampsStaleness,
		enableCompression:              enableCompression,
		sampleLimit:                    sampleLimit,
		bucketLimit:                    bucketLimit,
		maxSchema:                      maxSchema,
		labelLimits:                    labelLimits,
		interval:                       interval,
		timeout:                        timeout,
		scrapeClassicHistograms:        scrapeClassicHistograms,
		convertClassicHistograms:       convertClassicHistograms,
		enableNativeHistogramIngestion: enableNativeHistogramIngestion,
		enableCTZeroIngestion:          enableCTZeroIngestion,
		reportExtraMetrics:             reportExtraMetrics,
		appendMetadataToWAL:            appendMetadataToWAL,
		metrics:                        metrics,
		skipOffsetting:                 skipOffsetting,
	}
	sl.ctx, sl.cancel = context.WithCancel(ctx)

	return sl
}

func (sl *scrapeLoop) run(errc chan<- error) {
	if !sl.skipOffsetting {
		select {
		case <-time.After(sl.scraper.offset(sl.interval, sl.offsetSeed)):
			// Continue after a scraping offset.
		case <-sl.ctx.Done():
			close(sl.stopped)
			return
		}
	}

	var last time.Time

	alignedScrapeTime := time.Now().Round(0)
	ticker := time.NewTicker(sl.interval)
	defer ticker.Stop()

mainLoop:
	for {
		select {
		case <-sl.parentCtx.Done():
			close(sl.stopped)
			return
		case <-sl.ctx.Done():
			break mainLoop
		default:
		}

		// Temporary workaround for a jitter in go timers that causes disk space
		// increase in TSDB.
		// See https://github.com/prometheus/prometheus/issues/7846
		// Calling Round ensures the time used is the wall clock, as otherwise .Sub
		// and .Add on time.Time behave differently (see time package docs).
		scrapeTime := time.Now().Round(0)
		if AlignScrapeTimestamps {
			// Tolerance is clamped to maximum 1% of the scrape interval.
			tolerance := min(sl.interval/100, ScrapeTimestampTolerance)
			// For some reason, a tick might have been skipped, in which case we
			// would call alignedScrapeTime.Add(interval) multiple times.
			for scrapeTime.Sub(alignedScrapeTime) >= sl.interval {
				alignedScrapeTime = alignedScrapeTime.Add(sl.interval)
			}
			// Align the scrape time if we are in the tolerance boundaries.
			if scrapeTime.Sub(alignedScrapeTime) <= tolerance {
				scrapeTime = alignedScrapeTime
			}
		}

		last = sl.scrapeAndReport(last, scrapeTime, errc)

		select {
		case <-sl.parentCtx.Done():
			close(sl.stopped)
			return
		case <-sl.ctx.Done():
			break mainLoop
		case <-ticker.C:
		}
	}

	close(sl.stopped)

	if !sl.disabledEndOfRunStalenessMarkers {
		sl.endOfRunStaleness(last, ticker, sl.interval)
	}
}

// scrapeAndReport performs a scrape and then appends the result to the storage
// together with reporting metrics, by using as few appenders as possible.
// In the happy scenario, a single appender is used.
// This function uses sl.appenderCtx instead of sl.ctx on purpose. A scrape should
// only be cancelled on shutdown, not on reloads.
func (sl *scrapeLoop) scrapeAndReport(last, appendTime time.Time, errc chan<- error) time.Time {
	start := time.Now()

	// Only record after the first scrape.
	if !last.IsZero() {
		sl.metrics.targetIntervalLength.WithLabelValues(sl.interval.String()).Observe(
			time.Since(last).Seconds(),
		)
	}

	var total, added, seriesAdded, bytesRead int
	var err, appErr, scrapeErr error

	app := sl.appender(sl.appenderCtx)
	defer func() {
		if err != nil {
			app.Rollback()
			return
		}
		err = app.Commit()
		if err != nil {
			level.Error(sl.l).Log("msg", "Scrape commit failed", "err", err)
		}
	}()

	defer func() {
		if err = sl.report(app, appendTime, time.Since(start), total, added, seriesAdded, bytesRead, scrapeErr); err != nil {
			level.Warn(sl.l).Log("msg", "Appending scrape report failed", "err", err)
		}
	}()

	if forcedErr := sl.getForcedError(); forcedErr != nil {
		scrapeErr = forcedErr
		// Add stale markers.
		if _, _, _, err := sl.append(app, []byte{}, "", appendTime); err != nil {
			app.Rollback()
			app = sl.appender(sl.appenderCtx)
			level.Warn(sl.l).Log("msg", "Append failed", "err", err)
		}
		if errc != nil {
			errc <- forcedErr
		}

		return start
	}

	var contentType string
	var resp *http.Response
	var b []byte
	var buf *bytes.Buffer
	scrapeCtx, cancel := context.WithTimeout(sl.parentCtx, sl.timeout)
	resp, scrapeErr = sl.scraper.scrape(scrapeCtx)
	if scrapeErr == nil {
		b = sl.buffers.Get(sl.lastScrapeSize).([]byte)
		defer sl.buffers.Put(b)
		buf = bytes.NewBuffer(b)
		contentType, scrapeErr = sl.scraper.readResponse(scrapeCtx, resp, buf)
	}
	cancel()

	if scrapeErr == nil {
		b = buf.Bytes()
		// NOTE: There were issues with misbehaving clients in the past
		// that occasionally returned empty results. We don't want those
		// to falsely reset our buffer size.
		if len(b) > 0 {
			sl.lastScrapeSize = len(b)
		}
		bytesRead = len(b)
	} else {
		level.Debug(sl.l).Log("msg", "Scrape failed", "err", scrapeErr)
		if errc != nil {
			errc <- scrapeErr
		}
		if errors.Is(scrapeErr, errBodySizeLimit) {
			bytesRead = -1
		}
	}

	// A failed scrape is the same as an empty scrape,
	// we still call sl.append to trigger stale markers.
	total, added, seriesAdded, appErr = sl.append(app, b, contentType, appendTime)
	if appErr != nil {
		app.Rollback()
		app = sl.appender(sl.appenderCtx)
		level.Debug(sl.l).Log("msg", "Append failed", "err", appErr)
		// The append failed, probably due to a parse error or sample limit.
		// Call sl.append again with an empty scrape to trigger stale markers.
		if _, _, _, err := sl.append(app, []byte{}, "", appendTime); err != nil {
			app.Rollback()
			app = sl.appender(sl.appenderCtx)
			level.Warn(sl.l).Log("msg", "Append failed", "err", err)
		}
	}

	if scrapeErr == nil {
		scrapeErr = appErr
	}

	return start
}

func (sl *scrapeLoop) setForcedError(err error) {
	sl.forcedErrMtx.Lock()
	defer sl.forcedErrMtx.Unlock()
	sl.forcedErr = err
}

func (sl *scrapeLoop) getForcedError() error {
	sl.forcedErrMtx.Lock()
	defer sl.forcedErrMtx.Unlock()
	return sl.forcedErr
}

func (sl *scrapeLoop) endOfRunStaleness(last time.Time, ticker *time.Ticker, interval time.Duration) {
	// Scraping has stopped. We want to write stale markers but
	// the target may be recreated, so we wait just over 2 scrape intervals
	// before creating them.
	// If the context is canceled, we presume the server is shutting down
	// and will restart where is was. We do not attempt to write stale markers
	// in this case.

	if last.IsZero() {
		// There never was a scrape, so there will be no stale markers.
		return
	}

	// Wait for when the next scrape would have been, record its timestamp.
	var staleTime time.Time
	select {
	case <-sl.parentCtx.Done():
		return
	case <-ticker.C:
		staleTime = time.Now()
	}

	// Wait for when the next scrape would have been, if the target was recreated
	// samples should have been ingested by now.
	select {
	case <-sl.parentCtx.Done():
		return
	case <-ticker.C:
	}

	// Wait for an extra 10% of the interval, just to be safe.
	select {
	case <-sl.parentCtx.Done():
		return
	case <-time.After(interval / 10):
	}

	// Call sl.append again with an empty scrape to trigger stale markers.
	// If the target has since been recreated and scraped, the
	// stale markers will be out of order and ignored.
	// sl.context would have been cancelled, hence using sl.appenderCtx.
	app := sl.appender(sl.appenderCtx)
	var err error
	defer func() {
		if err != nil {
			app.Rollback()
			return
		}
		err = app.Commit()
		if err != nil {
			level.Warn(sl.l).Log("msg", "Stale commit failed", "err", err)
		}
	}()
	if _, _, _, err = sl.append(app, []byte{}, "", staleTime); err != nil {
		app.Rollback()
		app = sl.appender(sl.appenderCtx)
		level.Warn(sl.l).Log("msg", "Stale append failed", "err", err)
	}
	if err = sl.reportStale(app, staleTime); err != nil {
		level.Warn(sl.l).Log("msg", "Stale report failed", "err", err)
	}
}

// Stop the scraping. May still write data and stale markers after it has
// returned. Cancel the context to stop all writes.
func (sl *scrapeLoop) stop() {
	sl.cancel()
	<-sl.stopped
}

func (sl *scrapeLoop) disableEndOfRunStalenessMarkers() {
	sl.disabledEndOfRunStalenessMarkers = true
}

func (sl *scrapeLoop) getCache() *scrapeCache {
	return sl.cache
}

type appendErrors struct {
	numOutOfOrder         int
	numDuplicates         int
	numOutOfBounds        int
	numExemplarOutOfOrder int
}

func (sl *scrapeLoop) append(app storage.Appender, b []byte, contentType string, ts time.Time) (total, added, seriesAdded int, err error) {
	p, err := textparse.New(b, contentType, sl.scrapeClassicHistograms, sl.symbolTable)
	if err != nil {
		level.Debug(sl.l).Log(
			"msg", "Invalid content type on scrape, using prometheus parser as fallback.",
			"content_type", contentType,
			"err", err,
		)
	}

	var (
		defTime         = timestamp.FromTime(ts)
		appErrs         = appendErrors{}
		sampleLimitErr  error
		bucketLimitErr  error
		lset            labels.Labels     // escapes to heap so hoisted out of loop
		e               exemplar.Exemplar // escapes to heap so hoisted out of loop
		meta            metadata.Metadata
		metadataChanged bool
	)

	exemplars := make([]exemplar.Exemplar, 1)

	// updateMetadata updates the current iteration's metadata object and the
	// metadataChanged value if we have metadata in the scrape cache AND the
	// labelset is for a new series or the metadata for this series has just
	// changed. It returns a boolean based on whether the metadata was updated.
	updateMetadata := func(lset labels.Labels, isNewSeries bool) bool {
		if !sl.appendMetadataToWAL {
			return false
		}

		sl.cache.metaMtx.Lock()
		defer sl.cache.metaMtx.Unlock()
		metaEntry, metaOk := sl.cache.metadata[lset.Get(labels.MetricName)]
		if metaOk && (isNewSeries || metaEntry.lastIterChange == sl.cache.iter) {
			metadataChanged = true
			meta.Type = metaEntry.Type
			meta.Unit = metaEntry.Unit
			meta.Help = metaEntry.Help
			return true
		}
		return false
	}

	// Take an appender with limits.
	app = appender(app, sl.sampleLimit, sl.bucketLimit, sl.maxSchema)

	defer func() {
		if err != nil {
			return
		}
		// Only perform cache cleaning if the scrape was not empty.
		// An empty scrape (usually) is used to indicate a failed scrape.
		sl.cache.iterDone(len(b) > 0)
	}()

loop:
	for {
		var (
			et                       textparse.Entry
			sampleAdded, isHistogram bool
			met                      []byte
			parsedTimestamp          *int64
			val                      float64
			h                        *histogram.Histogram
			fh                       *histogram.FloatHistogram
		)
		if et, err = p.Next(); err != nil {
			if errors.Is(err, io.EOF) {
				err = nil
			}
			break
		}
		switch et {
		case textparse.EntryType:
			sl.cache.setType(p.Type())
			continue
		case textparse.EntryHelp:
			sl.cache.setHelp(p.Help())
			continue
		case textparse.EntryUnit:
			sl.cache.setUnit(p.Unit())
			continue
		case textparse.EntryComment:
			continue
		case textparse.EntryHistogram:
			isHistogram = true
		default:
		}
		total++

		t := defTime
		if isHistogram {
			met, parsedTimestamp, h, fh = p.Histogram()
		} else {
			met, parsedTimestamp, val = p.Series()
		}
		if !sl.honorTimestamps {
			parsedTimestamp = nil
		}
		if parsedTimestamp != nil {
			t = *parsedTimestamp
		}

		// Zero metadata out for current iteration until it's resolved.
		meta = metadata.Metadata{}
		metadataChanged = false

		if sl.cache.getDropped(met) {
			continue
		}
		ce, ok, seriesAlreadyScraped := sl.cache.get(met)
		var (
			ref  storage.SeriesRef
			hash uint64
		)

		if ok {
			ref = ce.ref
			lset = ce.lset
			hash = ce.hash

			// Update metadata only if it changed in the current iteration.
			updateMetadata(lset, false)
		} else {
			p.Metric(&lset)
			hash = lset.Hash()

			// Hash label set as it is seen local to the target. Then add target labels
			// and relabeling and store the final label set.
			lset = sl.sampleMutator(lset)

			// The label set may be set to empty to indicate dropping.
			if lset.IsEmpty() {
				sl.cache.addDropped(met)
				continue
			}

			if !lset.Has(labels.MetricName) {
				err = errNameLabelMandatory
				break loop
			}
			if !lset.IsValid() {
				err = fmt.Errorf("invalid metric name or label names: %s", lset.String())
				break loop
			}

			// If any label limits is exceeded the scrape should fail.
			if err = verifyLabelLimits(lset, sl.labelLimits); err != nil {
				sl.metrics.targetScrapePoolExceededLabelLimits.Inc()
				break loop
			}

			// Append metadata for new series if they were present.
			updateMetadata(lset, true)
		}

		if seriesAlreadyScraped {
			err = storage.ErrDuplicateSampleForTimestamp
		} else {
			if ctMs := p.CreatedTimestamp(); sl.enableCTZeroIngestion && ctMs != nil {
				ref, err = app.AppendCTZeroSample(ref, lset, t, *ctMs)
				if err != nil && !errors.Is(err, storage.ErrOutOfOrderCT) { // OOO is a common case, ignoring completely for now.
					// CT is an experimental feature. For now, we don't need to fail the
					// scrape on errors updating the created timestamp, log debug.
					level.Debug(sl.l).Log("msg", "Error when appending CT in scrape loop", "series", string(met), "ct", *ctMs, "t", t, "err", err)
				}
			}

			if isHistogram && sl.enableNativeHistogramIngestion {
				if h != nil {
					ref, err = app.AppendHistogram(ref, lset, t, h, nil)
				} else {
					ref, err = app.AppendHistogram(ref, lset, t, nil, fh)
				}
			} else {
				ref, err = app.Append(ref, lset, t, val)

				if sl.convertClassicHistograms {
					mName := lset.Get(labels.MetricName)
					switch {
					case strings.HasSuffix(mName, "_bucket") && lset.Has(labels.BucketLabel):
						le, err := strconv.ParseFloat(lset.Get(labels.BucketLabel), 64)
						if err == nil && !math.IsNaN(le) {
							processClassicHistogramSeries(lset, "_bucket", sl.cache, func(hist *convertnhcb.TempHistogram) {
								hist.BucketCounts[le] = val
							})
						}
					case strings.HasSuffix(mName, "_count"):
						processClassicHistogramSeries(lset, "_count", sl.cache, func(hist *convertnhcb.TempHistogram) {
							hist.Count = val
						})
					case strings.HasSuffix(mName, "_sum"):
						processClassicHistogramSeries(lset, "_sum", sl.cache, func(hist *convertnhcb.TempHistogram) {
							hist.Sum = val
						})
					}
				}
			}
		}

		if err == nil {
			if (parsedTimestamp == nil || sl.trackTimestampsStaleness) && ce != nil {
				sl.cache.trackStaleness(ce.hash, ce.lset)
			}
		}

		sampleAdded, err = sl.checkAddError(met, err, &sampleLimitErr, &bucketLimitErr, &appErrs)
		if err != nil {
			if !errors.Is(err, storage.ErrNotFound) {
				level.Debug(sl.l).Log("msg", "Unexpected error", "series", string(met), "err", err)
			}
			break loop
		}

		if !ok {
			if parsedTimestamp == nil || sl.trackTimestampsStaleness {
				// Bypass staleness logic if there is an explicit timestamp.
				sl.cache.trackStaleness(hash, lset)
			}
			sl.cache.addRef(met, ref, lset, hash)
			if sampleAdded && sampleLimitErr == nil && bucketLimitErr == nil {
				seriesAdded++
			}
		}

		// Increment added even if there's an error so we correctly report the
		// number of samples remaining after relabeling.
		// We still report duplicated samples here since this number should be the exact number
		// of time series exposed on a scrape after relabelling.
		added++
		exemplars = exemplars[:0] // Reset and reuse the exemplar slice.
		for hasExemplar := p.Exemplar(&e); hasExemplar; hasExemplar = p.Exemplar(&e) {
			if !e.HasTs {
				if isHistogram {
					// We drop exemplars for native histograms if they don't have a timestamp.
					// Missing timestamps are deliberately not supported as we want to start
					// enforcing timestamps for exemplars as otherwise proper deduplication
					// is inefficient and purely based on heuristics: we cannot distinguish
					// between repeated exemplars and new instances with the same values.
					// This is done silently without logs as it is not an error but out of spec.
					// This does not affect classic histograms so that behaviour is unchanged.
					e = exemplar.Exemplar{} // Reset for next time round loop.
					continue
				}
				e.Ts = t
			}
			exemplars = append(exemplars, e)
			e = exemplar.Exemplar{} // Reset for next time round loop.
		}
		// Sort so that checking for duplicates / out of order is more efficient during validation.
		slices.SortFunc(exemplars, exemplar.Compare)
		outOfOrderExemplars := 0
		for _, e := range exemplars {
			_, exemplarErr := app.AppendExemplar(ref, lset, e)
			switch {
			case exemplarErr == nil:
				// Do nothing.
			case errors.Is(exemplarErr, storage.ErrOutOfOrderExemplar):
				outOfOrderExemplars++
			default:
				// Since exemplar storage is still experimental, we don't fail the scrape on ingestion errors.
				level.Debug(sl.l).Log("msg", "Error while adding exemplar in AddExemplar", "exemplar", fmt.Sprintf("%+v", e), "err", exemplarErr)
			}
		}
		if outOfOrderExemplars > 0 && outOfOrderExemplars == len(exemplars) {
			// Only report out of order exemplars if all are out of order, otherwise this was a partial update
			// to some existing set of exemplars.
			appErrs.numExemplarOutOfOrder += outOfOrderExemplars
			level.Debug(sl.l).Log("msg", "Out of order exemplars", "count", outOfOrderExemplars, "latest", fmt.Sprintf("%+v", exemplars[len(exemplars)-1]))
			sl.metrics.targetScrapeExemplarOutOfOrder.Add(float64(outOfOrderExemplars))
		}

		if sl.appendMetadataToWAL && metadataChanged {
			if _, merr := app.UpdateMetadata(ref, lset, meta); merr != nil {
				// No need to fail the scrape on errors appending metadata.
				level.Debug(sl.l).Log("msg", "Error when appending metadata in scrape loop", "ref", fmt.Sprintf("%d", ref), "metadata", fmt.Sprintf("%+v", meta), "err", merr)
			}
		}
	}
	if sampleLimitErr != nil {
		if err == nil {
			err = sampleLimitErr
		}
		// We only want to increment this once per scrape, so this is Inc'd outside the loop.
		sl.metrics.targetScrapeSampleLimit.Inc()
	}
	if bucketLimitErr != nil {
		if err == nil {
			err = bucketLimitErr // If sample limit is hit, that error takes precedence.
		}
		// We only want to increment this once per scrape, so this is Inc'd outside the loop.
		sl.metrics.targetScrapeNativeHistogramBucketLimit.Inc()
	}
	if appErrs.numOutOfOrder > 0 {
		level.Warn(sl.l).Log("msg", "Error on ingesting out-of-order samples", "num_dropped", appErrs.numOutOfOrder)
	}
	if appErrs.numDuplicates > 0 {
		level.Warn(sl.l).Log("msg", "Error on ingesting samples with different value but same timestamp", "num_dropped", appErrs.numDuplicates)
	}
	if appErrs.numOutOfBounds > 0 {
		level.Warn(sl.l).Log("msg", "Error on ingesting samples that are too old or are too far into the future", "num_dropped", appErrs.numOutOfBounds)
	}
	if appErrs.numExemplarOutOfOrder > 0 {
		level.Warn(sl.l).Log("msg", "Error on ingesting out-of-order exemplars", "num_dropped", appErrs.numExemplarOutOfOrder)
	}
	if err == nil {
		sl.cache.forEachStale(func(lset labels.Labels) bool {
			// Series no longer exposed, mark it stale.
			_, err = app.Append(0, lset, defTime, math.Float64frombits(value.StaleNaN))
			switch {
			case errors.Is(err, storage.ErrOutOfOrderSample), errors.Is(err, storage.ErrDuplicateSampleForTimestamp):
				// Do not count these in logging, as this is expected if a target
				// goes away and comes back again with a new scrape loop.
				err = nil
			}
			return err == nil
		})
	}

	if sl.convertClassicHistograms {
		for hash, th := range sl.cache.nhcbBuilder {
			lset, ok := sl.cache.nhcbLabels[hash]
			if !ok {
				continue
			}
			ub := make([]float64, 0, len(th.BucketCounts))
			for b := range th.BucketCounts {
				ub = append(ub, b)
			}
			upperBounds, hBase := convertnhcb.ProcessUpperBoundsAndCreateBaseHistogram(ub, false)
			fhBase := hBase.ToFloat(nil)
			h, fh := convertnhcb.ConvertHistogramWrapper(th, upperBounds, hBase, fhBase)
			// fmt.Printf("FINAL lset: %s, timestamp: %v, val: %v\n", lset, defTime, fh)
			if h != nil {
				if err := h.Validate(); err != nil {
					continue
				}
				if _, err = app.AppendHistogram(0, lset, defTime, h, nil); err != nil {
					continue
				}
			} else if fh != nil {
				if err := fh.Validate(); err != nil {
					continue
				}
				if _, err = app.AppendHistogram(0, lset, defTime, nil, fh); err != nil {
					continue
				}
			}
		}
		sl.cache.resetNhcb()
	}

	return
}

func processClassicHistogramSeries(lset labels.Labels, suffix string, cache *scrapeCache, updateHist func(*convertnhcb.TempHistogram)) {
	m2 := convertnhcb.GetHistogramMetricBase(lset, suffix)
	m2hash := m2.Hash()
	cache.nhcbLabels[m2hash] = m2
	th, exists := cache.nhcbBuilder[m2hash]
	if !exists {
		th = convertnhcb.NewTempHistogram()
	}
	updateHist(&th)
	cache.nhcbBuilder[m2hash] = th
}

// Adds samples to the appender, checking the error, and then returns the # of samples added,
// whether the caller should continue to process more samples, and any sample or bucket limit errors.
func (sl *scrapeLoop) checkAddError(met []byte, err error, sampleLimitErr, bucketLimitErr *error, appErrs *appendErrors) (bool, error) {
	switch {
	case err == nil:
		return true, nil
	case errors.Is(err, storage.ErrNotFound):
		return false, storage.ErrNotFound
	case errors.Is(err, storage.ErrOutOfOrderSample):
		appErrs.numOutOfOrder++
		level.Debug(sl.l).Log("msg", "Out of order sample", "series", string(met))
		sl.metrics.targetScrapeSampleOutOfOrder.Inc()
		return false, nil
	case errors.Is(err, storage.ErrDuplicateSampleForTimestamp):
		appErrs.numDuplicates++
		level.Debug(sl.l).Log("msg", "Duplicate sample for timestamp", "series", string(met))
		sl.metrics.targetScrapeSampleDuplicate.Inc()
		return false, nil
	case errors.Is(err, storage.ErrOutOfBounds):
		appErrs.numOutOfBounds++
		level.Debug(sl.l).Log("msg", "Out of bounds metric", "series", string(met))
		sl.metrics.targetScrapeSampleOutOfBounds.Inc()
		return false, nil
	case errors.Is(err, errSampleLimit):
		// Keep on parsing output if we hit the limit, so we report the correct
		// total number of samples scraped.
		*sampleLimitErr = err
		return false, nil
	case errors.Is(err, errBucketLimit):
		// Keep on parsing output if we hit the limit, so we report the correct
		// total number of samples scraped.
		*bucketLimitErr = err
		return false, nil
	default:
		return false, err
	}
}

// The constants are suffixed with the invalid \xff unicode rune to avoid collisions
// with scraped metrics in the cache.
var (
	scrapeHealthMetricName        = []byte("up" + "\xff")
	scrapeDurationMetricName      = []byte("scrape_duration_seconds" + "\xff")
	scrapeSamplesMetricName       = []byte("scrape_samples_scraped" + "\xff")
	samplesPostRelabelMetricName  = []byte("scrape_samples_post_metric_relabeling" + "\xff")
	scrapeSeriesAddedMetricName   = []byte("scrape_series_added" + "\xff")
	scrapeTimeoutMetricName       = []byte("scrape_timeout_seconds" + "\xff")
	scrapeSampleLimitMetricName   = []byte("scrape_sample_limit" + "\xff")
	scrapeBodySizeBytesMetricName = []byte("scrape_body_size_bytes" + "\xff")
)

func (sl *scrapeLoop) report(app storage.Appender, start time.Time, duration time.Duration, scraped, added, seriesAdded, bytes int, scrapeErr error) (err error) {
	sl.scraper.Report(start, duration, scrapeErr)

	ts := timestamp.FromTime(start)

	var health float64
	if scrapeErr == nil {
		health = 1
	}
	b := labels.NewBuilderWithSymbolTable(sl.symbolTable)

	if err = sl.addReportSample(app, scrapeHealthMetricName, ts, health, b); err != nil {
		return
	}
	if err = sl.addReportSample(app, scrapeDurationMetricName, ts, duration.Seconds(), b); err != nil {
		return
	}
	if err = sl.addReportSample(app, scrapeSamplesMetricName, ts, float64(scraped), b); err != nil {
		return
	}
	if err = sl.addReportSample(app, samplesPostRelabelMetricName, ts, float64(added), b); err != nil {
		return
	}
	if err = sl.addReportSample(app, scrapeSeriesAddedMetricName, ts, float64(seriesAdded), b); err != nil {
		return
	}
	if sl.reportExtraMetrics {
		if err = sl.addReportSample(app, scrapeTimeoutMetricName, ts, sl.timeout.Seconds(), b); err != nil {
			return
		}
		if err = sl.addReportSample(app, scrapeSampleLimitMetricName, ts, float64(sl.sampleLimit), b); err != nil {
			return
		}
		if err = sl.addReportSample(app, scrapeBodySizeBytesMetricName, ts, float64(bytes), b); err != nil {
			return
		}
	}
	return
}

func (sl *scrapeLoop) reportStale(app storage.Appender, start time.Time) (err error) {
	ts := timestamp.FromTime(start)

	stale := math.Float64frombits(value.StaleNaN)
	b := labels.NewBuilder(labels.EmptyLabels())

	if err = sl.addReportSample(app, scrapeHealthMetricName, ts, stale, b); err != nil {
		return
	}
	if err = sl.addReportSample(app, scrapeDurationMetricName, ts, stale, b); err != nil {
		return
	}
	if err = sl.addReportSample(app, scrapeSamplesMetricName, ts, stale, b); err != nil {
		return
	}
	if err = sl.addReportSample(app, samplesPostRelabelMetricName, ts, stale, b); err != nil {
		return
	}
	if err = sl.addReportSample(app, scrapeSeriesAddedMetricName, ts, stale, b); err != nil {
		return
	}
	if sl.reportExtraMetrics {
		if err = sl.addReportSample(app, scrapeTimeoutMetricName, ts, stale, b); err != nil {
			return
		}
		if err = sl.addReportSample(app, scrapeSampleLimitMetricName, ts, stale, b); err != nil {
			return
		}
		if err = sl.addReportSample(app, scrapeBodySizeBytesMetricName, ts, stale, b); err != nil {
			return
		}
	}
	return
}

func (sl *scrapeLoop) addReportSample(app storage.Appender, s []byte, t int64, v float64, b *labels.Builder) error {
	ce, ok, _ := sl.cache.get(s)
	var ref storage.SeriesRef
	var lset labels.Labels
	if ok {
		ref = ce.ref
		lset = ce.lset
	} else {
		// The constants are suffixed with the invalid \xff unicode rune to avoid collisions
		// with scraped metrics in the cache.
		// We have to drop it when building the actual metric.
		b.Reset(labels.EmptyLabels())
		b.Set(labels.MetricName, string(s[:len(s)-1]))
		lset = sl.reportSampleMutator(b.Labels())
	}

	ref, err := app.Append(ref, lset, t, v)
	switch {
	case err == nil:
		if !ok {
			sl.cache.addRef(s, ref, lset, lset.Hash())
		}
		return nil
	case errors.Is(err, storage.ErrOutOfOrderSample), errors.Is(err, storage.ErrDuplicateSampleForTimestamp):
		// Do not log here, as this is expected if a target goes away and comes back
		// again with a new scrape loop.
		return nil
	default:
		return err
	}
}

// zeroConfig returns a new scrape config that only contains configuration items
// that alter metrics.
func zeroConfig(c *config.ScrapeConfig) *config.ScrapeConfig {
	z := *c
	// We zero out the fields that for sure don't affect scrape.
	z.ScrapeInterval = 0
	z.ScrapeTimeout = 0
	z.SampleLimit = 0
	z.HTTPClientConfig = config_util.HTTPClientConfig{}
	return &z
}

// reusableCache compares two scrape config and tells whether the cache is still
// valid.
func reusableCache(r, l *config.ScrapeConfig) bool {
	if r == nil || l == nil {
		return false
	}
	return reflect.DeepEqual(zeroConfig(r), zeroConfig(l))
}

// CtxKey is a dedicated type for keys of context-embedded values propagated
// with the scrape context.
type ctxKey int

// Valid CtxKey values.
const (
	ctxKeyMetadata ctxKey = iota + 1
	ctxKeyTarget
)

func ContextWithMetricMetadataStore(ctx context.Context, s MetricMetadataStore) context.Context {
	return context.WithValue(ctx, ctxKeyMetadata, s)
}

func MetricMetadataStoreFromContext(ctx context.Context) (MetricMetadataStore, bool) {
	s, ok := ctx.Value(ctxKeyMetadata).(MetricMetadataStore)
	return s, ok
}

func ContextWithTarget(ctx context.Context, t *Target) context.Context {
	return context.WithValue(ctx, ctxKeyTarget, t)
}

func TargetFromContext(ctx context.Context) (*Target, bool) {
	t, ok := ctx.Value(ctxKeyTarget).(*Target)
	return t, ok
}

func pickSchema(bucketFactor float64) int32 {
	if bucketFactor <= 1 {
		bucketFactor = 1.00271
	}
	floor := math.Floor(-math.Log2(math.Log2(bucketFactor)))
	switch {
	case floor >= float64(histogram.ExponentialSchemaMax):
		return histogram.ExponentialSchemaMax
	case floor <= float64(histogram.ExponentialSchemaMin):
		return histogram.ExponentialSchemaMin
	default:
		return int32(floor)
	}
}