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https://github.com/VictoriaMetrics/VictoriaMetrics.git
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5f8b91186a
When `--vm-native-step-interval` is specified, explore phase will be executed within specified intervals. Discovered metric names will be associated with time intervals at which they were discovered. This suppose to reduce number of requests vmctl makes per metric name since it will skip time intervals when metric name didn't exist. This should also reduce probability of exceeding complexity limits for number of selected series in one request during explore phase. https://github.com/VictoriaMetrics/VictoriaMetrics/issues/5369 Signed-off-by: hagen1778 <roman@victoriametrics.com>
400 lines
10 KiB
Go
400 lines
10 KiB
Go
package main
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import (
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"context"
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"fmt"
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"io"
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"log"
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"strings"
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"sync"
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"time"
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"github.com/cheggaaa/pb/v3"
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"github.com/VictoriaMetrics/VictoriaMetrics/app/vmctl/backoff"
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"github.com/VictoriaMetrics/VictoriaMetrics/app/vmctl/barpool"
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"github.com/VictoriaMetrics/VictoriaMetrics/app/vmctl/limiter"
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"github.com/VictoriaMetrics/VictoriaMetrics/app/vmctl/native"
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"github.com/VictoriaMetrics/VictoriaMetrics/app/vmctl/stepper"
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"github.com/VictoriaMetrics/VictoriaMetrics/app/vmctl/utils"
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"github.com/VictoriaMetrics/VictoriaMetrics/app/vmctl/vm"
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"github.com/VictoriaMetrics/VictoriaMetrics/app/vmselect/searchutils"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/logger"
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)
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type vmNativeProcessor struct {
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filter native.Filter
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dst *native.Client
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src *native.Client
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backoff *backoff.Backoff
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s *stats
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rateLimit int64
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interCluster bool
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cc int
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isSilent bool
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isNative bool
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disablePerMetricRequests bool
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}
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const (
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nativeExportAddr = "api/v1/export"
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nativeImportAddr = "api/v1/import"
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nativeWithBackoffTpl = `{{ blue "%s:" }} {{ counters . }} {{ bar . "[" "█" (cycle . "█") "▒" "]" }} {{ percent . }}`
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nativeSingleProcessTpl = `Total: {{counters . }} {{ cycle . "↖" "↗" "↘" "↙" }} Speed: {{speed . }} {{string . "suffix"}}`
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)
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func (p *vmNativeProcessor) run(ctx context.Context) error {
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if p.cc == 0 {
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p.cc = 1
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}
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p.s = &stats{
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startTime: time.Now(),
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}
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start, err := utils.ParseTime(p.filter.TimeStart)
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if err != nil {
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return fmt.Errorf("failed to parse %s, provided: %s, error: %w", vmNativeFilterTimeStart, p.filter.TimeStart, err)
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}
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end := time.Now().In(start.Location())
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if p.filter.TimeEnd != "" {
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end, err = utils.ParseTime(p.filter.TimeEnd)
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if err != nil {
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return fmt.Errorf("failed to parse %s, provided: %s, error: %w", vmNativeFilterTimeEnd, p.filter.TimeEnd, err)
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}
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}
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ranges := [][]time.Time{{start, end}}
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if p.filter.Chunk != "" {
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ranges, err = stepper.SplitDateRange(start, end, p.filter.Chunk, p.filter.TimeReverse)
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if err != nil {
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return fmt.Errorf("failed to create date ranges for the given time filters: %w", err)
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}
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}
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tenants := []string{""}
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if p.interCluster {
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log.Printf("Discovering tenants...")
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tenants, err = p.src.GetSourceTenants(ctx, p.filter)
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if err != nil {
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return fmt.Errorf("failed to get tenants: %w", err)
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}
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question := fmt.Sprintf("The following tenants were discovered: %s.\n Continue?", tenants)
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if !p.isSilent && !prompt(question) {
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return nil
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}
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}
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for _, tenantID := range tenants {
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err := p.runBackfilling(ctx, tenantID, ranges, p.isSilent)
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if err != nil {
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return fmt.Errorf("migration failed: %s", err)
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}
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}
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log.Println("Import finished!")
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log.Print(p.s)
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return nil
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}
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func (p *vmNativeProcessor) do(ctx context.Context, f native.Filter, srcURL, dstURL string, bar *pb.ProgressBar) error {
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retryableFunc := func() error { return p.runSingle(ctx, f, srcURL, dstURL, bar) }
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attempts, err := p.backoff.Retry(ctx, retryableFunc)
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p.s.Lock()
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p.s.retries += attempts
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p.s.Unlock()
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if err != nil {
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return fmt.Errorf("failed to migrate from %s to %s (retry attempts: %d): %w\nwith filter %s", srcURL, dstURL, attempts, err, f)
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}
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return nil
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}
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func (p *vmNativeProcessor) runSingle(ctx context.Context, f native.Filter, srcURL, dstURL string, bar *pb.ProgressBar) error {
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reader, err := p.src.ExportPipe(ctx, srcURL, f)
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if err != nil {
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return fmt.Errorf("failed to init export pipe: %w", err)
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}
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if p.disablePerMetricRequests && bar != nil {
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fmt.Printf("Continue import process with filter %s:\n", f.String())
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reader = bar.NewProxyReader(reader)
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}
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pr, pw := io.Pipe()
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importCh := make(chan error)
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go func() {
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importCh <- p.dst.ImportPipe(ctx, dstURL, pr)
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close(importCh)
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}()
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w := io.Writer(pw)
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if p.rateLimit > 0 {
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rl := limiter.NewLimiter(p.rateLimit)
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w = limiter.NewWriteLimiter(pw, rl)
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}
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written, err := io.Copy(w, reader)
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if err != nil {
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return fmt.Errorf("failed to write into %q: %s", p.dst.Addr, err)
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}
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p.s.Lock()
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p.s.bytes += uint64(written)
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p.s.requests++
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p.s.Unlock()
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if err := pw.Close(); err != nil {
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return err
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}
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return <-importCh
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}
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func (p *vmNativeProcessor) runBackfilling(ctx context.Context, tenantID string, ranges [][]time.Time, silent bool) error {
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exportAddr := nativeExportAddr
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importAddr := nativeImportAddr
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if p.isNative {
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exportAddr += "/native"
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importAddr += "/native"
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}
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srcURL := fmt.Sprintf("%s/%s", p.src.Addr, exportAddr)
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importAddr, err := vm.AddExtraLabelsToImportPath(importAddr, p.dst.ExtraLabels)
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if err != nil {
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return fmt.Errorf("failed to add labels to import path: %s", err)
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}
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dstURL := fmt.Sprintf("%s/%s", p.dst.Addr, importAddr)
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if p.interCluster {
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srcURL = fmt.Sprintf("%s/select/%s/prometheus/%s", p.src.Addr, tenantID, exportAddr)
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dstURL = fmt.Sprintf("%s/insert/%s/prometheus/%s", p.dst.Addr, tenantID, importAddr)
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}
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initMessage := "Initing import process from %q to %q with filter %s"
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initParams := []interface{}{srcURL, dstURL, p.filter.String()}
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if p.interCluster {
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initMessage = "Initing import process from %q to %q with filter %s for tenant %s"
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initParams = []interface{}{srcURL, dstURL, p.filter.String(), tenantID}
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}
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fmt.Println("") // extra line for better output formatting
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log.Printf(initMessage, initParams...)
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if len(ranges) > 1 {
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log.Printf("Selected time range will be split into %d ranges according to %q step", len(ranges), p.filter.Chunk)
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}
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var foundSeriesMsg string
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var requestsToMake int
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var metrics = map[string][][]time.Time{
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"": ranges,
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}
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if !p.disablePerMetricRequests {
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metrics, err = p.explore(ctx, p.src, tenantID, ranges, silent)
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if err != nil {
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return fmt.Errorf("failed to explore metric names: %s", err)
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}
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if len(metrics) == 0 {
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errMsg := "no metrics found"
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if tenantID != "" {
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errMsg = fmt.Sprintf("%s for tenant id: %s", errMsg, tenantID)
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}
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log.Println(errMsg)
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return nil
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}
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for _, m := range metrics {
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requestsToMake += len(m)
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}
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foundSeriesMsg = fmt.Sprintf("Found %d unique metric names to import. Total import/export requests to make %d", len(metrics), requestsToMake)
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}
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if !p.interCluster {
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// do not prompt for intercluster because there could be many tenants,
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// and we don't want to interrupt the process when moving to the next tenant.
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question := foundSeriesMsg + ". Continue?"
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if !silent && !prompt(question) {
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return nil
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}
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} else {
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log.Print(foundSeriesMsg)
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}
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var bar *pb.ProgressBar
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barPrefix := "Requests to make"
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if p.interCluster {
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barPrefix = fmt.Sprintf("Requests to make for tenant %s", tenantID)
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}
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if !silent {
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bar = barpool.NewSingleProgress(fmt.Sprintf(nativeWithBackoffTpl, barPrefix), requestsToMake)
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if p.disablePerMetricRequests {
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bar = barpool.NewSingleProgress(nativeSingleProcessTpl, 0)
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}
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bar.Start()
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defer bar.Finish()
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}
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filterCh := make(chan native.Filter)
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errCh := make(chan error, p.cc)
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var wg sync.WaitGroup
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for i := 0; i < p.cc; i++ {
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wg.Add(1)
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go func() {
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defer wg.Done()
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for f := range filterCh {
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if !p.disablePerMetricRequests {
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if err := p.do(ctx, f, srcURL, dstURL, nil); err != nil {
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errCh <- err
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return
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}
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if bar != nil {
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bar.Increment()
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}
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} else {
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if err := p.runSingle(ctx, f, srcURL, dstURL, bar); err != nil {
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errCh <- err
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return
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}
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}
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}
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}()
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}
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// any error breaks the import
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for mName, mRanges := range metrics {
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match, err := buildMatchWithFilter(p.filter.Match, mName)
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if err != nil {
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logger.Errorf("failed to build filter %q for metric name %q: %s", p.filter.Match, mName, err)
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continue
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}
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for _, times := range mRanges {
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select {
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case <-ctx.Done():
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return fmt.Errorf("context canceled")
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case infErr := <-errCh:
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return fmt.Errorf("export/import error: %s", infErr)
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case filterCh <- native.Filter{
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Match: match,
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TimeStart: times[0].Format(time.RFC3339),
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TimeEnd: times[1].Format(time.RFC3339),
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}:
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}
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}
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}
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close(filterCh)
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wg.Wait()
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close(errCh)
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for err := range errCh {
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return fmt.Errorf("import process failed: %s", err)
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}
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return nil
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}
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func (p *vmNativeProcessor) explore(ctx context.Context, src *native.Client, tenantID string, ranges [][]time.Time, silent bool) (map[string][][]time.Time, error) {
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log.Printf("Exploring metrics...")
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var bar *pb.ProgressBar
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if !silent {
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bar = barpool.NewSingleProgress(fmt.Sprintf(nativeWithBackoffTpl, "Explore requests to make"), len(ranges))
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bar.Start()
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defer bar.Finish()
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}
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metrics := make(map[string][][]time.Time)
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for _, r := range ranges {
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ms, err := src.Explore(ctx, p.filter, tenantID, r[0], r[1])
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if err != nil {
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return nil, fmt.Errorf("cannot get metrics from %s on interval %v-%v: %w", src.Addr, r[0], r[1], err)
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}
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for i := range ms {
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metrics[ms[i]] = append(metrics[ms[i]], r)
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}
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if bar != nil {
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bar.Increment()
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}
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}
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return metrics, nil
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}
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// stats represents client statistic
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// when processing data
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type stats struct {
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sync.Mutex
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startTime time.Time
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bytes uint64
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requests uint64
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retries uint64
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}
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func (s *stats) String() string {
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s.Lock()
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defer s.Unlock()
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totalImportDuration := time.Since(s.startTime)
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totalImportDurationS := totalImportDuration.Seconds()
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bytesPerS := byteCountSI(0)
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if s.bytes > 0 && totalImportDurationS > 0 {
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bytesPerS = byteCountSI(int64(float64(s.bytes) / totalImportDurationS))
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}
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return fmt.Sprintf("VictoriaMetrics importer stats:\n"+
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" time spent while importing: %v;\n"+
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" total bytes: %s;\n"+
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" bytes/s: %s;\n"+
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" requests: %d;\n"+
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" requests retries: %d;",
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totalImportDuration,
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byteCountSI(int64(s.bytes)), bytesPerS,
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s.requests, s.retries)
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}
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func byteCountSI(b int64) string {
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const unit = 1000
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if b < unit {
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return fmt.Sprintf("%d B", b)
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}
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div, exp := int64(unit), 0
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for n := b / unit; n >= unit; n /= unit {
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div *= unit
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exp++
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}
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return fmt.Sprintf("%.1f %cB",
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float64(b)/float64(div), "kMGTPE"[exp])
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}
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func buildMatchWithFilter(filter string, metricName string) (string, error) {
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if filter == metricName {
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return filter, nil
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}
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nameFilter := fmt.Sprintf("__name__=%q", metricName)
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tfss, err := searchutils.ParseMetricSelector(filter)
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if err != nil {
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return "", err
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}
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var filters []string
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for _, tfs := range tfss {
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var a []string
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for _, tf := range tfs {
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if len(tf.Key) == 0 {
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continue
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}
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a = append(a, tf.String())
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}
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a = append(a, nameFilter)
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filters = append(filters, strings.Join(a, ","))
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}
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match := "{" + strings.Join(filters, " or ") + "}"
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return match, nil
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}
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