mirror of
https://github.com/VictoriaMetrics/VictoriaMetrics.git
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8bab50dc29
app/vmctl: vm-native - split migration on per-metric basis `vm-native` mode now splits the migration process on per-metric basis. This allows to migrate metrics one-by-one according to the specified filter. This change allows to retry export/import requests for a specific metric and provides a better understanding of the migration progress. --------- Signed-off-by: hagen1778 <roman@victoriametrics.com> Co-authored-by: hagen1778 <roman@victoriametrics.com>
306 lines
7.9 KiB
Go
306 lines
7.9 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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"sync"
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"time"
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"github.com/VictoriaMetrics/VictoriaMetrics/app/vmctl/backoff"
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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/vm"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/logger"
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"github.com/cheggaaa/pb/v3"
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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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}
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const (
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nativeExportAddr = "api/v1/export/native"
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nativeImportAddr = "api/v1/import/native"
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nativeBarTpl = `{{ blue "%s:" }} {{ counters . }} {{ bar . "[" "█" (cycle . "█") "▒" "]" }} {{ percent . }}`
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)
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func (p *vmNativeProcessor) run(ctx context.Context, silent bool) 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 := time.Parse(time.RFC3339, p.filter.TimeStart)
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if err != nil {
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return fmt.Errorf("failed to parse %s, provided: %s, expected format: %s, error: %w",
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vmNativeFilterTimeStart, p.filter.TimeStart, time.RFC3339, 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 = time.Parse(time.RFC3339, p.filter.TimeEnd)
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if err != nil {
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return fmt.Errorf("failed to parse %s, provided: %s, expected format: %s, error: %w",
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vmNativeFilterTimeEnd, p.filter.TimeEnd, time.RFC3339, 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)
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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 !silent && !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, silent)
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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) error {
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retryableFunc := func() error { return p.runSingle(ctx, f, srcURL, dstURL) }
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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 fileter %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) error {
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exportReader, 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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pr, pw := io.Pipe()
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done := make(chan struct{})
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go func() {
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defer func() { close(done) }()
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if err := p.dst.ImportPipe(ctx, dstURL, pr); err != nil {
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logger.Errorf("error initialize import pipe: %s", err)
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return
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}
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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, exportReader)
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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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<-done
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return nil
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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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srcURL := fmt.Sprintf("%s/%s", p.src.Addr, exportAddr)
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importAddr, err := vm.AddExtraLabelsToImportPath(nativeImportAddr, 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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barPrefix := "Requests to make"
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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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barPrefix = fmt.Sprintf("Requests to make for tenant %s", tenantID)
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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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log.Printf("Exploring metrics...")
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metrics, err := p.src.Explore(ctx, p.filter, tenantID)
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if err != nil {
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return fmt.Errorf("cannot get metrics from source %s: %w", p.src.Addr, err)
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}
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if len(metrics) == 0 {
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return fmt.Errorf("no metrics found")
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}
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foundSeriesMsg := fmt.Sprintf("Found %d metrics to import", len(metrics))
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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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processingMsg := fmt.Sprintf("Requests to make: %d", len(metrics)*len(ranges))
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if len(ranges) > 1 {
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processingMsg = fmt.Sprintf("Selected time range will be split into %d ranges according to %q step. %s", len(ranges), p.filter.Chunk, processingMsg)
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}
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log.Print(processingMsg)
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var bar *pb.ProgressBar
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if !silent {
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bar = pb.ProgressBarTemplate(fmt.Sprintf(nativeBarTpl, barPrefix)).New(len(metrics) * len(ranges))
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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 err := p.do(ctx, f, srcURL, dstURL); 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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}
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}()
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}
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// any error breaks the import
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for s := range metrics {
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for _, times := range ranges {
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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("native error: %s", infErr)
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case filterCh <- native.Filter{
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Match: fmt.Sprintf("{%s=%q}", nameLabel, s),
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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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// 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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