VictoriaMetrics/app/vmctl/vm/vm.go
Dmytro Kozlov 110c3896e7
app/vmctl: add retry backoff policy (#3844)
app/vmctl: move retries logic into a separate pkg
2023-02-22 13:06:55 +01:00

426 lines
11 KiB
Go

package vm
import (
"bufio"
"compress/gzip"
"context"
"errors"
"fmt"
"io"
"net/http"
"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/lib/decimal"
"github.com/cheggaaa/pb/v3"
)
// Config contains list of params to configure
// the Importer
type Config struct {
// VictoriaMetrics address to perform import requests
// --httpListenAddr value for single node version
// --httpListenAddr value of vmselect component for cluster version
Addr string
// Concurrency defines number of worker
// performing the import requests concurrently
Concurrency uint8
// Whether to apply gzip compression
Compress bool
// AccountID for cluster version.
// Empty value assumes it is a single node version
AccountID string
// BatchSize defines how many samples
// importer collects before sending the import request
BatchSize int
// User name for basic auth
User string
// Password for basic auth
Password string
// SignificantFigures defines the number of significant figures to leave
// in metric values before importing.
// Zero value saves all the significant decimal places
SignificantFigures int
// RoundDigits defines the number of decimal digits after the point that must be left
// in metric values before importing.
RoundDigits int
// ExtraLabels that will be added to all imported series. Must be in label=value format.
ExtraLabels []string
// RateLimit defines a data transfer speed in bytes per second.
// Is applied to each worker (see Concurrency) independently.
RateLimit int64
// Whether to disable progress bar per VM worker
DisableProgressBar bool
}
// Importer performs insertion of timeseries
// via VictoriaMetrics import protocol
// see https://docs.victoriametrics.com/#how-to-import-time-series-data
type Importer struct {
addr string
importPath string
compress bool
user string
password string
close chan struct{}
input chan *TimeSeries
errors chan *ImportError
rl *limiter.Limiter
wg sync.WaitGroup
once sync.Once
s *stats
backoff *backoff.Backoff
}
// ResetStats resets im stats.
func (im *Importer) ResetStats() {
im.s = &stats{
startTime: time.Now(),
}
}
// Stats returns im stats.
func (im *Importer) Stats() string {
return im.s.String()
}
// AddExtraLabelsToImportPath - adds extra labels query params to given url path.
func AddExtraLabelsToImportPath(path string, extraLabels []string) (string, error) {
dst := path
separator := "?"
for _, extraLabel := range extraLabels {
if !strings.Contains(extraLabel, "=") {
return path, fmt.Errorf("bad format for extra_label flag, it must be `key=value`, got: %q", extraLabel)
}
if strings.Contains(dst, "?") {
separator = "&"
}
dst += fmt.Sprintf("%sextra_label=%s", separator, extraLabel)
}
return dst, nil
}
// NewImporter creates new Importer for the given cfg.
func NewImporter(ctx context.Context, cfg Config) (*Importer, error) {
if cfg.Concurrency < 1 {
return nil, fmt.Errorf("concurrency can't be lower than 1")
}
addr := strings.TrimRight(cfg.Addr, "/")
// if single version
// see https://docs.victoriametrics.com/#how-to-import-time-series-data
importPath := addr + "/api/v1/import"
if cfg.AccountID != "" {
// if cluster version
// see https://docs.victoriametrics.com/Cluster-VictoriaMetrics.html#url-format
importPath = fmt.Sprintf("%s/insert/%s/prometheus/api/v1/import", addr, cfg.AccountID)
}
importPath, err := AddExtraLabelsToImportPath(importPath, cfg.ExtraLabels)
if err != nil {
return nil, err
}
im := &Importer{
addr: addr,
importPath: importPath,
compress: cfg.Compress,
user: cfg.User,
password: cfg.Password,
rl: limiter.NewLimiter(cfg.RateLimit),
close: make(chan struct{}),
input: make(chan *TimeSeries, cfg.Concurrency*4),
errors: make(chan *ImportError, cfg.Concurrency),
backoff: backoff.New(),
}
if err := im.Ping(); err != nil {
return nil, fmt.Errorf("ping to %q failed: %s", addr, err)
}
if cfg.BatchSize < 1 {
cfg.BatchSize = 1e5
}
im.wg.Add(int(cfg.Concurrency))
for i := 0; i < int(cfg.Concurrency); i++ {
var bar *pb.ProgressBar
if !cfg.DisableProgressBar {
pbPrefix := fmt.Sprintf(`{{ green "VM worker %d:" }}`, i)
bar = barpool.AddWithTemplate(pbPrefix+pbTpl, 0)
}
go func(bar *pb.ProgressBar) {
defer im.wg.Done()
im.startWorker(ctx, bar, cfg.BatchSize, cfg.SignificantFigures, cfg.RoundDigits)
}(bar)
}
im.ResetStats()
return im, nil
}
const pbTpl = `{{ (cycle . "←" "↖" "↑" "↗" "→" "↘" "↓" "↙" ) }} {{speed . "%s samples/s"}}`
// ImportError is type of error generated
// in case of unsuccessful import request
type ImportError struct {
// The batch of timeseries processed by importer at the moment
Batch []*TimeSeries
// The error that appeared during insert
// If err is nil - no error happened and Batch
// Is the latest delivered Batch.
Err error
}
// Errors returns a channel for receiving
// import errors if any
func (im *Importer) Errors() chan *ImportError { return im.errors }
// Input returns a channel for sending timeseries
// that need to be imported
func (im *Importer) Input(ts *TimeSeries) error {
select {
case <-im.close:
return fmt.Errorf("importer is closed")
case im.input <- ts:
return nil
case err := <-im.errors:
if err != nil && err.Err != nil {
return err.Err
}
return fmt.Errorf("process aborted")
}
}
// Close sends signal to all goroutines to exit
// and waits until they are finished
func (im *Importer) Close() {
im.once.Do(func() {
close(im.close)
close(im.input)
im.wg.Wait()
close(im.errors)
})
}
func (im *Importer) startWorker(ctx context.Context, bar *pb.ProgressBar, batchSize, significantFigures, roundDigits int) {
var batch []*TimeSeries
var dataPoints int
var waitForBatch time.Time
for {
select {
case <-im.close:
for ts := range im.input {
ts = roundTimeseriesValue(ts, significantFigures, roundDigits)
batch = append(batch, ts)
}
exitErr := &ImportError{
Batch: batch,
}
retryableFunc := func() error { return im.Import(batch) }
_, err := im.backoff.Retry(ctx, retryableFunc)
if err != nil {
exitErr.Err = err
}
im.errors <- exitErr
return
case ts, ok := <-im.input:
if !ok {
continue
}
// init waitForBatch when first
// value was received
if waitForBatch.IsZero() {
waitForBatch = time.Now()
}
ts = roundTimeseriesValue(ts, significantFigures, roundDigits)
batch = append(batch, ts)
dataPoints += len(ts.Values)
if bar != nil {
bar.Add(len(ts.Values))
}
if dataPoints < batchSize {
continue
}
im.s.Lock()
im.s.idleDuration += time.Since(waitForBatch)
im.s.Unlock()
if err := im.flush(ctx, batch); err != nil {
im.errors <- &ImportError{
Batch: batch,
Err: err,
}
// make a new batch, since old one was referenced as err
batch = make([]*TimeSeries, len(batch))
}
dataPoints = 0
batch = batch[:0]
waitForBatch = time.Now()
}
}
}
func (im *Importer) flush(ctx context.Context, b []*TimeSeries) error {
retryableFunc := func() error { return im.Import(b) }
attempts, err := im.backoff.Retry(ctx, retryableFunc)
if err != nil {
return fmt.Errorf("import failed with %d retries: %s", attempts, err)
}
im.s.Lock()
im.s.retries = attempts
im.s.Unlock()
return nil
}
// Ping sends a ping to im.addr.
func (im *Importer) Ping() error {
url := fmt.Sprintf("%s/health", im.addr)
req, err := http.NewRequest("GET", url, nil)
if err != nil {
return fmt.Errorf("cannot create request to %q: %s", im.addr, err)
}
if im.user != "" {
req.SetBasicAuth(im.user, im.password)
}
resp, err := http.DefaultClient.Do(req)
if err != nil {
return err
}
if resp.StatusCode != http.StatusOK {
return fmt.Errorf("bad status code: %d", resp.StatusCode)
}
return nil
}
// Import imports tsBatch.
func (im *Importer) Import(tsBatch []*TimeSeries) error {
if len(tsBatch) < 1 {
return nil
}
pr, pw := io.Pipe()
req, err := http.NewRequest("POST", im.importPath, pr)
if err != nil {
return fmt.Errorf("cannot create request to %q: %s", im.addr, err)
}
if im.user != "" {
req.SetBasicAuth(im.user, im.password)
}
if im.compress {
req.Header.Set("Content-Encoding", "gzip")
}
errCh := make(chan error)
go func() {
errCh <- do(req)
close(errCh)
}()
w := io.Writer(pw)
if im.compress {
zw, err := gzip.NewWriterLevel(w, 1)
if err != nil {
return fmt.Errorf("unexpected error when creating gzip writer: %s", err)
}
w = zw
}
w = limiter.NewWriteLimiter(w, im.rl)
bw := bufio.NewWriterSize(w, 16*1024)
var totalSamples, totalBytes int
for _, ts := range tsBatch {
n, err := ts.write(bw)
if err != nil {
return fmt.Errorf("write err: %w", err)
}
totalBytes += n
totalSamples += len(ts.Values)
}
if err := bw.Flush(); err != nil {
return err
}
if closer, ok := w.(io.Closer); ok {
err := closer.Close()
if err != nil {
return err
}
}
if err := pw.Close(); err != nil {
return err
}
requestErr := <-errCh
if requestErr != nil {
return fmt.Errorf("import request error for %q: %w", im.addr, requestErr)
}
im.s.Lock()
im.s.bytes += uint64(totalBytes)
im.s.samples += uint64(totalSamples)
im.s.requests++
im.s.Unlock()
return nil
}
// ErrBadRequest represents bad request error.
var ErrBadRequest = errors.New("bad request")
func do(req *http.Request) error {
resp, err := http.DefaultClient.Do(req)
if err != nil {
return fmt.Errorf("unexpected error when performing request: %s", err)
}
defer func() {
_ = resp.Body.Close()
}()
if resp.StatusCode != http.StatusNoContent {
body, err := io.ReadAll(resp.Body)
if err != nil {
return fmt.Errorf("failed to read response body for status code %d: %s", resp.StatusCode, err)
}
if resp.StatusCode == http.StatusBadRequest {
return fmt.Errorf("%w: unexpected response code %d: %s", ErrBadRequest, resp.StatusCode, string(body))
}
return fmt.Errorf("unexpected response code %d: %s", resp.StatusCode, string(body))
}
return nil
}
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 roundTimeseriesValue(ts *TimeSeries, significantFigures, roundDigits int) *TimeSeries {
if significantFigures > 0 {
for i, v := range ts.Values {
ts.Values[i] = decimal.RoundToSignificantFigures(v, significantFigures)
}
}
if roundDigits < 100 {
for i, v := range ts.Values {
ts.Values[i] = decimal.RoundToDecimalDigits(v, roundDigits)
}
}
return ts
}