VictoriaMetrics/app/vmctl/vm_native.go
Aliaksandr Valialkin d6415b2572
all: consistently use 'any' instead of 'interface{}'
'any' type is supported starting from Go1.18. Let's consistently use it
instead of 'interface{}' type across the code base, since `any` is easier to read than 'interface{}'.
2024-07-10 00:23:26 +02:00

391 lines
10 KiB
Go

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