mirror of
https://github.com/VictoriaMetrics/VictoriaMetrics.git
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8f4f5f1d68
Make it possible to migrate timeseries while restoring the original timeseries name previously written from Prometheus to InfluxDB v1 via remote_write. Fixes: https://github.com/VictoriaMetrics/vmctl/issues/8
167 lines
3.5 KiB
Go
167 lines
3.5 KiB
Go
package main
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import (
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"fmt"
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"io"
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"log"
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"sync"
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"github.com/VictoriaMetrics/VictoriaMetrics/app/vmctl/barpool"
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"github.com/VictoriaMetrics/VictoriaMetrics/app/vmctl/influx"
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"github.com/VictoriaMetrics/VictoriaMetrics/app/vmctl/vm"
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)
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type influxProcessor struct {
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ic *influx.Client
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im *vm.Importer
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cc int
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separator string
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skipDbLabel bool
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promMode bool
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}
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func newInfluxProcessor(ic *influx.Client, im *vm.Importer, cc int, separator string, skipDbLabel bool, promMode bool) *influxProcessor {
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if cc < 1 {
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cc = 1
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}
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return &influxProcessor{
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ic: ic,
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im: im,
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cc: cc,
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separator: separator,
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skipDbLabel: skipDbLabel,
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promMode: promMode,
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}
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}
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func (ip *influxProcessor) run(silent, verbose bool) error {
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series, err := ip.ic.Explore()
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if err != nil {
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return fmt.Errorf("explore query failed: %s", err)
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}
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if len(series) < 1 {
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return fmt.Errorf("found no timeseries to import")
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}
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question := fmt.Sprintf("Found %d timeseries to import. Continue?", len(series))
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if !silent && !prompt(question) {
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return nil
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}
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bar := barpool.AddWithTemplate(fmt.Sprintf(barTpl, "Processing series"), len(series))
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if err := barpool.Start(); err != nil {
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return err
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}
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seriesCh := make(chan *influx.Series)
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errCh := make(chan error)
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ip.im.ResetStats()
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var wg sync.WaitGroup
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wg.Add(ip.cc)
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for i := 0; i < ip.cc; i++ {
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go func() {
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defer wg.Done()
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for s := range seriesCh {
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if err := ip.do(s); err != nil {
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errCh <- fmt.Errorf("request failed for %q.%q: %s", s.Measurement, s.Field, err)
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return
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}
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bar.Increment()
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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 series {
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select {
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case infErr := <-errCh:
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return fmt.Errorf("influx error: %s", infErr)
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case vmErr := <-ip.im.Errors():
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return fmt.Errorf("import process failed: %s", wrapErr(vmErr, verbose))
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case seriesCh <- s:
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}
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}
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close(seriesCh)
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wg.Wait()
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ip.im.Close()
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close(errCh)
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// drain import errors channel
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for vmErr := range ip.im.Errors() {
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if vmErr.Err != nil {
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return fmt.Errorf("import process failed: %s", wrapErr(vmErr, verbose))
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}
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}
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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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barpool.Stop()
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log.Println("Import finished!")
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log.Print(ip.im.Stats())
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return nil
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}
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const dbLabel = "db"
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const nameLabel = "__name__"
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const valueField = "value"
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func (ip *influxProcessor) do(s *influx.Series) error {
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cr, err := ip.ic.FetchDataPoints(s)
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if err != nil {
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return fmt.Errorf("failed to fetch datapoints: %s", err)
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}
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defer func() {
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_ = cr.Close()
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}()
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var name string
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if s.Measurement != "" {
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name = fmt.Sprintf("%s%s%s", s.Measurement, ip.separator, s.Field)
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} else {
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name = s.Field
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}
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labels := make([]vm.LabelPair, len(s.LabelPairs))
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var containsDBLabel bool
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for i, lp := range s.LabelPairs {
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if lp.Name == dbLabel {
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containsDBLabel = true
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} else if lp.Name == nameLabel && s.Field == valueField && ip.promMode {
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name = lp.Value
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}
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labels[i] = vm.LabelPair{
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Name: lp.Name,
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Value: lp.Value,
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}
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}
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if !containsDBLabel && !ip.skipDbLabel {
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labels = append(labels, vm.LabelPair{
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Name: dbLabel,
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Value: ip.ic.Database(),
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})
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}
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for {
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time, values, err := cr.Next()
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if err != nil {
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if err == io.EOF {
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return nil
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}
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return err
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}
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// skip empty results
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if len(time) < 1 {
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continue
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}
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ts := vm.TimeSeries{
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Name: name,
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LabelPairs: labels,
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Timestamps: time,
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Values: values,
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}
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if err := ip.im.Input(&ts); err != nil {
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return err
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}
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}
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}
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