VictoriaMetrics/app/vmselect/netstorage/netstorage.go
Roman Khavronenko 173ccf4333
vmselect: introduce search.skipSlowReplicas cmd-line flag (#4538)
* vmselect: introduce `search.skipSlowReplicas` cmd-line flag

vmselect has two logical conditions during request processing when
`-replicationFactor` cmd-line flag is set:
1. If at least `len(storageNodes) - replicationFactor` responded, it could skip
waiting for the rest of nodes to respond. This could lead to problems described
here https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1207.
2. Mark response as partial if less than `len(storageNodes) - replicationFactor` responded
without an error.

The P1 showed itself error-prone and became the main reason why
`-replicationFactor` wasn't recommended to use at vmselect level.
However, this optimization could be still very useful in situations
when there are slow and fast replicas in cluster.

But P2 remains viable and important conditionless.
Hiding P1 behind the feature-flag `search.skipSlowReplicas`
should make `-replicationFactor` flag usable again. And let users
choose whether they want P1 to be respected.

Related issues
https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1207
https://github.com/VictoriaMetrics/VictoriaMetrics/issues/711

Signed-off-by: hagen1778 <roman@victoriametrics.com>

* docs: update changelog

Signed-off-by: hagen1778 <roman@victoriametrics.com>

---------

Signed-off-by: hagen1778 <roman@victoriametrics.com>
2023-07-07 11:50:26 +02:00

2853 lines
90 KiB
Go

package netstorage
import (
"container/heap"
"errors"
"flag"
"fmt"
"io"
"net"
"net/http"
"os"
"sort"
"strings"
"sync"
"sync/atomic"
"time"
"unsafe"
"github.com/VictoriaMetrics/VictoriaMetrics/app/vmselect/searchutils"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/bytesutil"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/cgroup"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/encoding"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/fasttime"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/handshake"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/httpserver"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/logger"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/netutil"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/querytracer"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/storage"
"github.com/VictoriaMetrics/metrics"
"github.com/VictoriaMetrics/metricsql"
"github.com/cespare/xxhash/v2"
)
var (
replicationFactor = flag.Int("replicationFactor", 1, "How many copies of every time series is available on vmstorage nodes. "+
"vmselect cancels responses from the slowest -replicationFactor-1 vmstorage nodes if -replicationFactor is set by assuming it already received complete data. "+
"It isn't recommended setting this flag to values other than 1 at vmselect nodes, since it may result in incomplete responses "+
"after adding new vmstorage nodes even if the replication is enabled at vminsert nodes")
skipSlowReplicas = flag.Bool("search.skipSlowReplicas", false, "Whether to skip waiting for all replicas to respond during search query. "+
"Enabling this setting may improve query speed by serving results from the fastest vmstorage replicas in the cluster. "+
"But could also lead to incomplete results if replicas contain data gaps. Consider enabling this setting only if all replicas contain identical data.")
maxSamplesPerSeries = flag.Int("search.maxSamplesPerSeries", 30e6, "The maximum number of raw samples a single query can scan per each time series. See also -search.maxSamplesPerQuery")
maxSamplesPerQuery = flag.Int("search.maxSamplesPerQuery", 1e9, "The maximum number of raw samples a single query can process across all time series. This protects from heavy queries, which select unexpectedly high number of raw samples. See also -search.maxSamplesPerSeries")
vmstorageDialTimeout = flag.Duration("vmstorageDialTimeout", 5*time.Second, "Timeout for establishing RPC connections from vmselect to vmstorage")
)
// Result is a single timeseries result.
//
// ProcessSearchQuery returns Result slice.
type Result struct {
// The name of the metric.
MetricName storage.MetricName
// Values are sorted by Timestamps.
Values []float64
Timestamps []int64
}
func (r *Result) reset() {
r.MetricName.Reset()
r.Values = r.Values[:0]
r.Timestamps = r.Timestamps[:0]
}
// Results holds results returned from ProcessSearchQuery.
type Results struct {
tr storage.TimeRange
deadline searchutils.Deadline
tbfs []*tmpBlocksFile
packedTimeseries []packedTimeseries
}
// Len returns the number of results in rss.
func (rss *Results) Len() int {
return len(rss.packedTimeseries)
}
// Cancel cancels rss work.
func (rss *Results) Cancel() {
rss.closeTmpBlockFiles()
}
func (rss *Results) closeTmpBlockFiles() {
closeTmpBlockFiles(rss.tbfs)
rss.tbfs = nil
}
func closeTmpBlockFiles(tbfs []*tmpBlocksFile) {
for _, tbf := range tbfs {
putTmpBlocksFile(tbf)
}
}
type timeseriesWork struct {
mustStop *uint32
rss *Results
pts *packedTimeseries
f func(rs *Result, workerID uint) error
err error
rowsProcessed int
}
func (tsw *timeseriesWork) reset() {
tsw.mustStop = nil
tsw.rss = nil
tsw.pts = nil
tsw.f = nil
tsw.err = nil
tsw.rowsProcessed = 0
}
func getTimeseriesWork() *timeseriesWork {
v := tswPool.Get()
if v == nil {
v = &timeseriesWork{}
}
return v.(*timeseriesWork)
}
func putTimeseriesWork(tsw *timeseriesWork) {
tsw.reset()
tswPool.Put(tsw)
}
var tswPool sync.Pool
func (tsw *timeseriesWork) do(r *Result, workerID uint) error {
if atomic.LoadUint32(tsw.mustStop) != 0 {
return nil
}
rss := tsw.rss
if rss.deadline.Exceeded() {
atomic.StoreUint32(tsw.mustStop, 1)
return fmt.Errorf("timeout exceeded during query execution: %s", rss.deadline.String())
}
if err := tsw.pts.Unpack(r, rss.tbfs, rss.tr); err != nil {
atomic.StoreUint32(tsw.mustStop, 1)
return fmt.Errorf("error during time series unpacking: %w", err)
}
tsw.rowsProcessed = len(r.Timestamps)
if len(r.Timestamps) > 0 {
if err := tsw.f(r, workerID); err != nil {
atomic.StoreUint32(tsw.mustStop, 1)
return err
}
}
return nil
}
func timeseriesWorker(qt *querytracer.Tracer, workChs []chan *timeseriesWork, workerID uint) {
tmpResult := getTmpResult()
// Perform own work at first.
rowsProcessed := 0
seriesProcessed := 0
ch := workChs[workerID]
for tsw := range ch {
tsw.err = tsw.do(&tmpResult.rs, workerID)
rowsProcessed += tsw.rowsProcessed
seriesProcessed++
}
qt.Printf("own work processed: series=%d, samples=%d", seriesProcessed, rowsProcessed)
// Then help others with the remaining work.
rowsProcessed = 0
seriesProcessed = 0
for i := uint(1); i < uint(len(workChs)); i++ {
idx := (i + workerID) % uint(len(workChs))
ch := workChs[idx]
for len(ch) > 0 {
// Do not call runtime.Gosched() here in order to give a chance
// the real owner of the work to complete it, since it consumes additional CPU
// and slows down the code on systems with big number of CPU cores.
// See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3966#issuecomment-1483208419
// It is expected that every channel in the workChs is already closed,
// so the next line should return immediately.
tsw, ok := <-ch
if !ok {
break
}
tsw.err = tsw.do(&tmpResult.rs, workerID)
rowsProcessed += tsw.rowsProcessed
seriesProcessed++
}
}
qt.Printf("others work processed: series=%d, samples=%d", seriesProcessed, rowsProcessed)
putTmpResult(tmpResult)
}
func getTmpResult() *result {
v := resultPool.Get()
if v == nil {
v = &result{}
}
return v.(*result)
}
func putTmpResult(r *result) {
currentTime := fasttime.UnixTimestamp()
if cap(r.rs.Values) > 1024*1024 && 4*len(r.rs.Values) < cap(r.rs.Values) && currentTime-r.lastResetTime > 10 {
// Reset r.rs in order to preserve memory usage after processing big time series with millions of rows.
r.rs = Result{}
r.lastResetTime = currentTime
}
resultPool.Put(r)
}
type result struct {
rs Result
lastResetTime uint64
}
var resultPool sync.Pool
// MaxWorkers returns the maximum number of workers netstorage can spin when calling RunParallel()
func MaxWorkers() int {
return gomaxprocs
}
var gomaxprocs = cgroup.AvailableCPUs()
// RunParallel runs f in parallel for all the results from rss.
//
// f shouldn't hold references to rs after returning.
// workerID is the id of the worker goroutine that calls f. The workerID is in the range [0..MaxWorkers()-1].
// Data processing is immediately stopped if f returns non-nil error.
//
// rss becomes unusable after the call to RunParallel.
func (rss *Results) RunParallel(qt *querytracer.Tracer, f func(rs *Result, workerID uint) error) error {
qt = qt.NewChild("parallel process of fetched data")
defer rss.closeTmpBlockFiles()
rowsProcessedTotal, err := rss.runParallel(qt, f)
seriesProcessedTotal := len(rss.packedTimeseries)
rss.packedTimeseries = rss.packedTimeseries[:0]
rowsReadPerQuery.Update(float64(rowsProcessedTotal))
seriesReadPerQuery.Update(float64(seriesProcessedTotal))
qt.Donef("series=%d, samples=%d", seriesProcessedTotal, rowsProcessedTotal)
return err
}
func (rss *Results) runParallel(qt *querytracer.Tracer, f func(rs *Result, workerID uint) error) (int, error) {
tswsLen := len(rss.packedTimeseries)
if tswsLen == 0 {
// Nothing to process
return 0, nil
}
var mustStop uint32
initTimeseriesWork := func(tsw *timeseriesWork, pts *packedTimeseries) {
tsw.rss = rss
tsw.pts = pts
tsw.f = f
tsw.mustStop = &mustStop
}
maxWorkers := MaxWorkers()
if maxWorkers == 1 || tswsLen == 1 {
// It is faster to process time series in the current goroutine.
tsw := getTimeseriesWork()
tmpResult := getTmpResult()
rowsProcessedTotal := 0
var err error
for i := range rss.packedTimeseries {
initTimeseriesWork(tsw, &rss.packedTimeseries[i])
err = tsw.do(&tmpResult.rs, 0)
rowsReadPerSeries.Update(float64(tsw.rowsProcessed))
rowsProcessedTotal += tsw.rowsProcessed
if err != nil {
break
}
tsw.reset()
}
putTmpResult(tmpResult)
putTimeseriesWork(tsw)
return rowsProcessedTotal, err
}
// Slow path - spin up multiple local workers for parallel data processing.
// Do not use global workers pool, since it increases inter-CPU memory ping-poing,
// which reduces the scalability on systems with many CPU cores.
// Prepare the work for workers.
tsws := make([]*timeseriesWork, len(rss.packedTimeseries))
for i := range rss.packedTimeseries {
tsw := getTimeseriesWork()
initTimeseriesWork(tsw, &rss.packedTimeseries[i])
tsws[i] = tsw
}
// Prepare worker channels.
workers := len(tsws)
if workers > maxWorkers {
workers = maxWorkers
}
itemsPerWorker := (len(tsws) + workers - 1) / workers
workChs := make([]chan *timeseriesWork, workers)
for i := range workChs {
workChs[i] = make(chan *timeseriesWork, itemsPerWorker)
}
// Spread work among workers.
for i, tsw := range tsws {
idx := i % len(workChs)
workChs[idx] <- tsw
}
// Mark worker channels as closed.
for _, workCh := range workChs {
close(workCh)
}
// Start workers and wait until they finish the work.
var wg sync.WaitGroup
for i := range workChs {
wg.Add(1)
qtChild := qt.NewChild("worker #%d", i)
go func(workerID uint) {
timeseriesWorker(qtChild, workChs, workerID)
qtChild.Done()
wg.Done()
}(uint(i))
}
wg.Wait()
// Collect results.
var firstErr error
rowsProcessedTotal := 0
for _, tsw := range tsws {
if tsw.err != nil && firstErr == nil {
// Return just the first error, since other errors are likely duplicate the first error.
firstErr = tsw.err
}
rowsReadPerSeries.Update(float64(tsw.rowsProcessed))
rowsProcessedTotal += tsw.rowsProcessed
putTimeseriesWork(tsw)
}
return rowsProcessedTotal, firstErr
}
var (
rowsReadPerSeries = metrics.NewHistogram(`vm_rows_read_per_series`)
rowsReadPerQuery = metrics.NewHistogram(`vm_rows_read_per_query`)
seriesReadPerQuery = metrics.NewHistogram(`vm_series_read_per_query`)
)
type packedTimeseries struct {
metricName string
addrs []tmpBlockAddr
}
type unpackWork struct {
tbfs []*tmpBlocksFile
addr tmpBlockAddr
tr storage.TimeRange
sb *sortBlock
err error
}
func (upw *unpackWork) reset() {
upw.tbfs = nil
upw.addr = tmpBlockAddr{}
upw.tr = storage.TimeRange{}
upw.sb = nil
upw.err = nil
}
func (upw *unpackWork) unpack(tmpBlock *storage.Block) {
sb := getSortBlock()
if err := sb.unpackFrom(tmpBlock, upw.tbfs, upw.addr, upw.tr); err != nil {
putSortBlock(sb)
upw.err = fmt.Errorf("cannot unpack block: %w", err)
return
}
upw.sb = sb
}
func getUnpackWork() *unpackWork {
v := unpackWorkPool.Get()
if v != nil {
return v.(*unpackWork)
}
return &unpackWork{}
}
func putUnpackWork(upw *unpackWork) {
upw.reset()
unpackWorkPool.Put(upw)
}
var unpackWorkPool sync.Pool
func unpackWorker(workChs []chan *unpackWork, workerID uint) {
tmpBlock := getTmpStorageBlock()
// Deal with own work at first.
ch := workChs[workerID]
for upw := range ch {
upw.unpack(tmpBlock)
}
// Then help others with their work.
for i := uint(1); i < uint(len(workChs)); i++ {
idx := (i + workerID) % uint(len(workChs))
ch := workChs[idx]
for len(ch) > 0 {
// Do not call runtime.Gosched() here in order to give a chance
// the real owner of the work to complete it, since it consumes additional CPU
// and slows down the code on systems with big number of CPU cores.
// See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3966#issuecomment-1483208419
// It is expected that every channel in the workChs is already closed,
// so the next line should return immediately.
upw, ok := <-ch
if !ok {
break
}
upw.unpack(tmpBlock)
}
}
putTmpStorageBlock(tmpBlock)
}
func getTmpStorageBlock() *storage.Block {
v := tmpStorageBlockPool.Get()
if v == nil {
v = &storage.Block{}
}
return v.(*storage.Block)
}
func putTmpStorageBlock(sb *storage.Block) {
tmpStorageBlockPool.Put(sb)
}
var tmpStorageBlockPool sync.Pool
// Unpack unpacks pts to dst.
func (pts *packedTimeseries) Unpack(dst *Result, tbfs []*tmpBlocksFile, tr storage.TimeRange) error {
dst.reset()
if err := dst.MetricName.Unmarshal(bytesutil.ToUnsafeBytes(pts.metricName)); err != nil {
return fmt.Errorf("cannot unmarshal metricName %q: %w", pts.metricName, err)
}
sbh := getSortBlocksHeap()
var err error
sbh.sbs, err = pts.unpackTo(sbh.sbs[:0], tbfs, tr)
pts.addrs = pts.addrs[:0]
if err != nil {
putSortBlocksHeap(sbh)
return err
}
dedupInterval := storage.GetDedupInterval()
mergeSortBlocks(dst, sbh, dedupInterval)
putSortBlocksHeap(sbh)
return nil
}
func (pts *packedTimeseries) unpackTo(dst []*sortBlock, tbfs []*tmpBlocksFile, tr storage.TimeRange) ([]*sortBlock, error) {
upwsLen := len(pts.addrs)
if upwsLen == 0 {
// Nothing to do
return nil, nil
}
initUnpackWork := func(upw *unpackWork, addr tmpBlockAddr) {
upw.tbfs = tbfs
upw.addr = addr
upw.tr = tr
}
if gomaxprocs == 1 || upwsLen <= 1000 {
// It is faster to unpack all the data in the current goroutine.
upw := getUnpackWork()
samples := 0
tmpBlock := getTmpStorageBlock()
var err error
for _, addr := range pts.addrs {
initUnpackWork(upw, addr)
upw.unpack(tmpBlock)
if upw.err != nil {
return dst, upw.err
}
samples += len(upw.sb.Timestamps)
if *maxSamplesPerSeries > 0 && samples > *maxSamplesPerSeries {
putSortBlock(upw.sb)
err = &limitExceededErr{
err: fmt.Errorf("cannot process more than %d samples per series; either increase -search.maxSamplesPerSeries "+
"or reduce time range for the query", *maxSamplesPerSeries),
}
break
}
dst = append(dst, upw.sb)
upw.reset()
}
putTmpStorageBlock(tmpBlock)
putUnpackWork(upw)
return dst, err
}
// Slow path - spin up multiple local workers for parallel data unpacking.
// Do not use global workers pool, since it increases inter-CPU memory ping-poing,
// which reduces the scalability on systems with many CPU cores.
// Prepare the work for workers.
upws := make([]*unpackWork, upwsLen)
for i, addr := range pts.addrs {
upw := getUnpackWork()
initUnpackWork(upw, addr)
upws[i] = upw
}
// Prepare worker channels.
workers := len(upws)
if workers > gomaxprocs {
workers = gomaxprocs
}
if workers < 1 {
workers = 1
}
itemsPerWorker := (len(upws) + workers - 1) / workers
workChs := make([]chan *unpackWork, workers)
for i := range workChs {
workChs[i] = make(chan *unpackWork, itemsPerWorker)
}
// Spread work among worker channels.
for i, upw := range upws {
idx := i % len(workChs)
workChs[idx] <- upw
}
// Mark worker channels as closed.
for _, workCh := range workChs {
close(workCh)
}
// Start workers and wait until they finish the work.
var wg sync.WaitGroup
for i := 0; i < workers; i++ {
wg.Add(1)
go func(workerID uint) {
unpackWorker(workChs, workerID)
wg.Done()
}(uint(i))
}
wg.Wait()
// Collect results.
samples := 0
var firstErr error
for _, upw := range upws {
if upw.err != nil && firstErr == nil {
// Return the first error only, since other errors are likely the same.
firstErr = upw.err
}
if firstErr == nil {
sb := upw.sb
samples += len(sb.Timestamps)
if *maxSamplesPerSeries > 0 && samples > *maxSamplesPerSeries {
putSortBlock(sb)
firstErr = fmt.Errorf("cannot process more than %d samples per series; either increase -search.maxSamplesPerSeries "+
"or reduce time range for the query", *maxSamplesPerSeries)
} else {
dst = append(dst, sb)
}
} else {
putSortBlock(upw.sb)
}
putUnpackWork(upw)
}
return dst, firstErr
}
func getSortBlock() *sortBlock {
v := sbPool.Get()
if v == nil {
return &sortBlock{}
}
return v.(*sortBlock)
}
func putSortBlock(sb *sortBlock) {
sb.reset()
sbPool.Put(sb)
}
var sbPool sync.Pool
var metricRowsSkipped = metrics.NewCounter(`vm_metric_rows_skipped_total{name="vmselect"}`)
func mergeSortBlocks(dst *Result, sbh *sortBlocksHeap, dedupInterval int64) {
// Skip empty sort blocks, since they cannot be passed to heap.Init.
sbs := sbh.sbs[:0]
for _, sb := range sbh.sbs {
if len(sb.Timestamps) == 0 {
putSortBlock(sb)
continue
}
sbs = append(sbs, sb)
}
sbh.sbs = sbs
if sbh.Len() == 0 {
return
}
heap.Init(sbh)
for {
sbs := sbh.sbs
top := sbs[0]
if len(sbs) == 1 {
dst.Timestamps = append(dst.Timestamps, top.Timestamps[top.NextIdx:]...)
dst.Values = append(dst.Values, top.Values[top.NextIdx:]...)
putSortBlock(top)
break
}
sbNext := sbh.getNextBlock()
tsNext := sbNext.Timestamps[sbNext.NextIdx]
topNextIdx := top.NextIdx
if n := equalSamplesPrefix(top, sbNext); n > 0 && dedupInterval > 0 {
// Skip n replicated samples at top if deduplication is enabled.
top.NextIdx = topNextIdx + n
} else {
// Copy samples from top to dst with timestamps not exceeding tsNext.
top.NextIdx = topNextIdx + binarySearchTimestamps(top.Timestamps[topNextIdx:], tsNext)
dst.Timestamps = append(dst.Timestamps, top.Timestamps[topNextIdx:top.NextIdx]...)
dst.Values = append(dst.Values, top.Values[topNextIdx:top.NextIdx]...)
}
if top.NextIdx < len(top.Timestamps) {
heap.Fix(sbh, 0)
} else {
heap.Pop(sbh)
putSortBlock(top)
}
}
timestamps, values := storage.DeduplicateSamples(dst.Timestamps, dst.Values, dedupInterval)
dedups := len(dst.Timestamps) - len(timestamps)
dedupsDuringSelect.Add(dedups)
dst.Timestamps = timestamps
dst.Values = values
}
var dedupsDuringSelect = metrics.NewCounter(`vm_deduplicated_samples_total{type="select"}`)
func equalSamplesPrefix(a, b *sortBlock) int {
n := equalTimestampsPrefix(a.Timestamps[a.NextIdx:], b.Timestamps[b.NextIdx:])
if n == 0 {
return 0
}
return equalValuesPrefix(a.Values[a.NextIdx:a.NextIdx+n], b.Values[b.NextIdx:b.NextIdx+n])
}
func equalTimestampsPrefix(a, b []int64) int {
for i, v := range a {
if i >= len(b) || v != b[i] {
return i
}
}
return len(a)
}
func equalValuesPrefix(a, b []float64) int {
for i, v := range a {
if i >= len(b) || v != b[i] {
return i
}
}
return len(a)
}
func binarySearchTimestamps(timestamps []int64, ts int64) int {
// The code has been adapted from sort.Search.
n := len(timestamps)
if n > 0 && timestamps[n-1] <= ts {
// Fast path for timestamps scanned in ascending order.
return n
}
i, j := 0, n
for i < j {
h := int(uint(i+j) >> 1)
if h >= 0 && h < len(timestamps) && timestamps[h] <= ts {
i = h + 1
} else {
j = h
}
}
return i
}
type sortBlock struct {
Timestamps []int64
Values []float64
NextIdx int
}
func (sb *sortBlock) reset() {
sb.Timestamps = sb.Timestamps[:0]
sb.Values = sb.Values[:0]
sb.NextIdx = 0
}
func (sb *sortBlock) unpackFrom(tmpBlock *storage.Block, tbfs []*tmpBlocksFile, addr tmpBlockAddr, tr storage.TimeRange) error {
tmpBlock.Reset()
tbfs[addr.tbfIdx].MustReadBlockAt(tmpBlock, addr)
if err := tmpBlock.UnmarshalData(); err != nil {
return fmt.Errorf("cannot unmarshal block: %w", err)
}
sb.Timestamps, sb.Values = tmpBlock.AppendRowsWithTimeRangeFilter(sb.Timestamps[:0], sb.Values[:0], tr)
skippedRows := tmpBlock.RowsCount() - len(sb.Timestamps)
metricRowsSkipped.Add(skippedRows)
return nil
}
type sortBlocksHeap struct {
sbs []*sortBlock
}
func (sbh *sortBlocksHeap) getNextBlock() *sortBlock {
sbs := sbh.sbs
if len(sbs) < 2 {
return nil
}
if len(sbs) < 3 {
return sbs[1]
}
a := sbs[1]
b := sbs[2]
if a.Timestamps[a.NextIdx] <= b.Timestamps[b.NextIdx] {
return a
}
return b
}
func (sbh *sortBlocksHeap) Len() int {
return len(sbh.sbs)
}
func (sbh *sortBlocksHeap) Less(i, j int) bool {
sbs := sbh.sbs
a := sbs[i]
b := sbs[j]
return a.Timestamps[a.NextIdx] < b.Timestamps[b.NextIdx]
}
func (sbh *sortBlocksHeap) Swap(i, j int) {
sbs := sbh.sbs
sbs[i], sbs[j] = sbs[j], sbs[i]
}
func (sbh *sortBlocksHeap) Push(x interface{}) {
sbh.sbs = append(sbh.sbs, x.(*sortBlock))
}
func (sbh *sortBlocksHeap) Pop() interface{} {
sbs := sbh.sbs
v := sbs[len(sbs)-1]
sbs[len(sbs)-1] = nil
sbh.sbs = sbs[:len(sbs)-1]
return v
}
func getSortBlocksHeap() *sortBlocksHeap {
v := sbhPool.Get()
if v == nil {
return &sortBlocksHeap{}
}
return v.(*sortBlocksHeap)
}
func putSortBlocksHeap(sbh *sortBlocksHeap) {
sbs := sbh.sbs
for i := range sbs {
sbs[i] = nil
}
sbh.sbs = sbs[:0]
sbhPool.Put(sbh)
}
var sbhPool sync.Pool
// RegisterMetricNames registers metric names from mrs in the storage.
func RegisterMetricNames(qt *querytracer.Tracer, mrs []storage.MetricRow, deadline searchutils.Deadline) error {
qt = qt.NewChild("register metric names")
defer qt.Done()
sns := getStorageNodes()
// Split mrs among available vmstorage nodes.
mrsPerNode := make([][]storage.MetricRow, len(sns))
for _, mr := range mrs {
idx := 0
if len(sns) > 1 {
// There is no need in using the same hash as for time series distribution in vminsert,
// since RegisterMetricNames is used only in Graphite Tags API.
h := xxhash.Sum64(mr.MetricNameRaw)
idx = int(h % uint64(len(sns)))
}
mrsPerNode[idx] = append(mrsPerNode[idx], mr)
}
// Push mrs to storage nodes in parallel.
snr := startStorageNodesRequest(qt, sns, true, func(qt *querytracer.Tracer, workerID uint, sn *storageNode) interface{} {
sn.registerMetricNamesRequests.Inc()
err := sn.registerMetricNames(qt, mrsPerNode[workerID], deadline)
if err != nil {
sn.registerMetricNamesErrors.Inc()
}
return &err
})
// Collect results
err := snr.collectAllResults(func(result interface{}) error {
errP := result.(*error)
return *errP
})
if err != nil {
return fmt.Errorf("cannot register series on all the vmstorage nodes: %w", err)
}
return nil
}
// DeleteSeries deletes time series matching the given sq.
func DeleteSeries(qt *querytracer.Tracer, sq *storage.SearchQuery, deadline searchutils.Deadline) (int, error) {
qt = qt.NewChild("delete series: %s", sq)
defer qt.Done()
requestData := sq.Marshal(nil)
// Send the query to all the storage nodes in parallel.
type nodeResult struct {
deletedCount int
err error
}
sns := getStorageNodes()
snr := startStorageNodesRequest(qt, sns, true, func(qt *querytracer.Tracer, workerID uint, sn *storageNode) interface{} {
sn.deleteSeriesRequests.Inc()
deletedCount, err := sn.deleteSeries(qt, requestData, deadline)
if err != nil {
sn.deleteSeriesErrors.Inc()
}
return &nodeResult{
deletedCount: deletedCount,
err: err,
}
})
// Collect results
deletedTotal := 0
err := snr.collectAllResults(func(result interface{}) error {
nr := result.(*nodeResult)
if nr.err != nil {
return nr.err
}
deletedTotal += nr.deletedCount
return nil
})
if err != nil {
return deletedTotal, fmt.Errorf("cannot delete time series on all the vmstorage nodes: %w", err)
}
return deletedTotal, nil
}
// LabelNames returns label names matching the given sq until the given deadline.
func LabelNames(qt *querytracer.Tracer, denyPartialResponse bool, sq *storage.SearchQuery, maxLabelNames int, deadline searchutils.Deadline) ([]string, bool, error) {
qt = qt.NewChild("get labels: %s", sq)
defer qt.Done()
if deadline.Exceeded() {
return nil, false, fmt.Errorf("timeout exceeded before starting the query processing: %s", deadline.String())
}
requestData := sq.Marshal(nil)
// Send the query to all the storage nodes in parallel.
type nodeResult struct {
labelNames []string
err error
}
sns := getStorageNodes()
snr := startStorageNodesRequest(qt, sns, denyPartialResponse, func(qt *querytracer.Tracer, workerID uint, sn *storageNode) interface{} {
sn.labelNamesRequests.Inc()
labelNames, err := sn.getLabelNames(qt, requestData, maxLabelNames, deadline)
if err != nil {
sn.labelNamesErrors.Inc()
err = fmt.Errorf("cannot get labels from vmstorage %s: %w", sn.connPool.Addr(), err)
}
return &nodeResult{
labelNames: labelNames,
err: err,
}
})
// Collect results
var labelNames []string
isPartial, err := snr.collectResults(partialLabelNamesResults, func(result interface{}) error {
nr := result.(*nodeResult)
if nr.err != nil {
return nr.err
}
labelNames = append(labelNames, nr.labelNames...)
return nil
})
qt.Printf("get %d non-duplicated labels", len(labelNames))
if err != nil {
return nil, isPartial, fmt.Errorf("cannot fetch labels from vmstorage nodes: %w", err)
}
// Deduplicate labels
labelNames = deduplicateStrings(labelNames)
qt.Printf("get %d unique labels after de-duplication", len(labelNames))
if maxLabelNames > 0 && maxLabelNames < len(labelNames) {
labelNames = labelNames[:maxLabelNames]
}
// Sort labelNames like Prometheus does
sort.Strings(labelNames)
qt.Printf("sort %d labels", len(labelNames))
return labelNames, isPartial, nil
}
// GraphiteTags returns Graphite tags until the given deadline.
func GraphiteTags(qt *querytracer.Tracer, accountID, projectID uint32, denyPartialResponse bool, filter string, limit int, deadline searchutils.Deadline) ([]string, bool, error) {
qt = qt.NewChild("get graphite tags: filter=%s, limit=%d", filter, limit)
defer qt.Done()
if deadline.Exceeded() {
return nil, false, fmt.Errorf("timeout exceeded before starting the query processing: %s", deadline.String())
}
sq := storage.NewSearchQuery(accountID, projectID, 0, 0, nil, 0)
labels, isPartial, err := LabelNames(qt, denyPartialResponse, sq, 0, deadline)
if err != nil {
return nil, false, err
}
// Substitute "__name__" with "name" for Graphite compatibility
for i := range labels {
if labels[i] != "__name__" {
continue
}
// Prevent from duplicate `name` tag.
// See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/942
if hasString(labels, "name") {
labels = append(labels[:i], labels[i+1:]...)
} else {
labels[i] = "name"
sort.Strings(labels)
}
break
}
if len(filter) > 0 {
labels, err = applyGraphiteRegexpFilter(filter, labels)
if err != nil {
return nil, false, err
}
}
if limit > 0 && limit < len(labels) {
labels = labels[:limit]
}
return labels, isPartial, nil
}
func hasString(a []string, s string) bool {
for _, x := range a {
if x == s {
return true
}
}
return false
}
// LabelValues returns label values matching the given labelName and sq until the given deadline.
func LabelValues(qt *querytracer.Tracer, denyPartialResponse bool, labelName string, sq *storage.SearchQuery, maxLabelValues int, deadline searchutils.Deadline) ([]string, bool, error) {
qt = qt.NewChild("get values for label %s: %s", labelName, sq)
defer qt.Done()
if deadline.Exceeded() {
return nil, false, fmt.Errorf("timeout exceeded before starting the query processing: %s", deadline.String())
}
requestData := sq.Marshal(nil)
// Send the query to all the storage nodes in parallel.
type nodeResult struct {
labelValues []string
err error
}
sns := getStorageNodes()
snr := startStorageNodesRequest(qt, sns, denyPartialResponse, func(qt *querytracer.Tracer, workerID uint, sn *storageNode) interface{} {
sn.labelValuesRequests.Inc()
labelValues, err := sn.getLabelValues(qt, labelName, requestData, maxLabelValues, deadline)
if err != nil {
sn.labelValuesErrors.Inc()
err = fmt.Errorf("cannot get label values from vmstorage %s: %w", sn.connPool.Addr(), err)
}
return &nodeResult{
labelValues: labelValues,
err: err,
}
})
// Collect results
var labelValues []string
isPartial, err := snr.collectResults(partialLabelValuesResults, func(result interface{}) error {
nr := result.(*nodeResult)
if nr.err != nil {
return nr.err
}
labelValues = append(labelValues, nr.labelValues...)
return nil
})
qt.Printf("get %d non-duplicated label values", len(labelValues))
if err != nil {
return nil, isPartial, fmt.Errorf("cannot fetch label values from vmstorage nodes: %w", err)
}
// Deduplicate label values
labelValues = deduplicateStrings(labelValues)
qt.Printf("get %d unique label values after de-duplication", len(labelValues))
// Sort labelValues like Prometheus does
if maxLabelValues > 0 && maxLabelValues < len(labelValues) {
labelValues = labelValues[:maxLabelValues]
}
sort.Strings(labelValues)
qt.Printf("sort %d label values", len(labelValues))
return labelValues, isPartial, nil
}
// Tenants returns tenants until the given deadline.
func Tenants(qt *querytracer.Tracer, tr storage.TimeRange, deadline searchutils.Deadline) ([]string, error) {
qt = qt.NewChild("get tenants on timeRange=%s", &tr)
defer qt.Done()
if deadline.Exceeded() {
return nil, fmt.Errorf("timeout exceeded before starting the query processing: %s", deadline.String())
}
// Send the query to all the storage nodes in parallel.
type nodeResult struct {
tenants []string
err error
}
sns := getStorageNodes()
// Deny partial responses when obtaining the list of tenants, since partial tenants have little sense.
snr := startStorageNodesRequest(qt, sns, true, func(qt *querytracer.Tracer, workerID uint, sn *storageNode) interface{} {
sn.tenantsRequests.Inc()
tenants, err := sn.getTenants(qt, tr, deadline)
if err != nil {
sn.tenantsErrors.Inc()
err = fmt.Errorf("cannot get tenants from vmstorage %s: %w", sn.connPool.Addr(), err)
}
return &nodeResult{
tenants: tenants,
err: err,
}
})
// Collect results
var tenants []string
_, err := snr.collectResults(partialLabelValuesResults, func(result interface{}) error {
nr := result.(*nodeResult)
if nr.err != nil {
return nr.err
}
tenants = append(tenants, nr.tenants...)
return nil
})
qt.Printf("get %d non-duplicated tenants", len(tenants))
if err != nil {
return nil, fmt.Errorf("cannot fetch tenants from vmstorage nodes: %w", err)
}
// Deduplicate tenants
tenants = deduplicateStrings(tenants)
qt.Printf("get %d unique tenants after de-duplication", len(tenants))
sort.Strings(tenants)
qt.Printf("sort %d tenants", len(tenants))
return tenants, nil
}
// GraphiteTagValues returns tag values for the given tagName until the given deadline.
func GraphiteTagValues(qt *querytracer.Tracer, accountID, projectID uint32, denyPartialResponse bool, tagName, filter string, limit int, deadline searchutils.Deadline) ([]string, bool, error) {
qt = qt.NewChild("get graphite tag values for tagName=%s, filter=%s, limit=%d", tagName, filter, limit)
defer qt.Done()
if deadline.Exceeded() {
return nil, false, fmt.Errorf("timeout exceeded before starting the query processing: %s", deadline.String())
}
if tagName == "name" {
tagName = ""
}
sq := storage.NewSearchQuery(accountID, projectID, 0, 0, nil, 0)
tagValues, isPartial, err := LabelValues(qt, denyPartialResponse, tagName, sq, 0, deadline)
if err != nil {
return nil, false, err
}
if len(filter) > 0 {
tagValues, err = applyGraphiteRegexpFilter(filter, tagValues)
if err != nil {
return nil, false, err
}
}
if limit > 0 && limit < len(tagValues) {
tagValues = tagValues[:limit]
}
return tagValues, isPartial, nil
}
// TagValueSuffixes returns tag value suffixes for the given tagKey and the given tagValuePrefix.
//
// It can be used for implementing https://graphite-api.readthedocs.io/en/latest/api.html#metrics-find
func TagValueSuffixes(qt *querytracer.Tracer, accountID, projectID uint32, denyPartialResponse bool, tr storage.TimeRange, tagKey, tagValuePrefix string,
delimiter byte, maxSuffixes int, deadline searchutils.Deadline) ([]string, bool, error) {
qt = qt.NewChild("get tag value suffixes for tagKey=%s, tagValuePrefix=%s, maxSuffixes=%d, timeRange=%s", tagKey, tagValuePrefix, maxSuffixes, &tr)
defer qt.Done()
if deadline.Exceeded() {
return nil, false, fmt.Errorf("timeout exceeded before starting the query processing: %s", deadline.String())
}
// Send the query to all the storage nodes in parallel.
type nodeResult struct {
suffixes []string
err error
}
sns := getStorageNodes()
snr := startStorageNodesRequest(qt, sns, denyPartialResponse, func(qt *querytracer.Tracer, workerID uint, sn *storageNode) interface{} {
sn.tagValueSuffixesRequests.Inc()
suffixes, err := sn.getTagValueSuffixes(qt, accountID, projectID, tr, tagKey, tagValuePrefix, delimiter, maxSuffixes, deadline)
if err != nil {
sn.tagValueSuffixesErrors.Inc()
err = fmt.Errorf("cannot get tag value suffixes for timeRange=%s, tagKey=%q, tagValuePrefix=%q, delimiter=%c from vmstorage %s: %w",
tr.String(), tagKey, tagValuePrefix, delimiter, sn.connPool.Addr(), err)
}
return &nodeResult{
suffixes: suffixes,
err: err,
}
})
// Collect results
m := make(map[string]struct{})
isPartial, err := snr.collectResults(partialTagValueSuffixesResults, func(result interface{}) error {
nr := result.(*nodeResult)
if nr.err != nil {
return nr.err
}
for _, suffix := range nr.suffixes {
m[suffix] = struct{}{}
}
return nil
})
if err != nil {
return nil, isPartial, fmt.Errorf("cannot fetch tag value suffixes from vmstorage nodes: %w", err)
}
suffixes := make([]string, 0, len(m))
for suffix := range m {
suffixes = append(suffixes, suffix)
}
return suffixes, isPartial, nil
}
func deduplicateStrings(a []string) []string {
m := make(map[string]bool, len(a))
for _, s := range a {
m[s] = true
}
a = a[:0]
for s := range m {
a = append(a, s)
}
return a
}
// TSDBStatus returns tsdb status according to https://prometheus.io/docs/prometheus/latest/querying/api/#tsdb-stats
//
// It accepts arbitrary filters on time series in sq.
func TSDBStatus(qt *querytracer.Tracer, denyPartialResponse bool, sq *storage.SearchQuery, focusLabel string, topN int, deadline searchutils.Deadline) (*storage.TSDBStatus, bool, error) {
qt = qt.NewChild("get tsdb stats: %s, focusLabel=%q, topN=%d", sq, focusLabel, topN)
defer qt.Done()
if deadline.Exceeded() {
return nil, false, fmt.Errorf("timeout exceeded before starting the query processing: %s", deadline.String())
}
requestData := sq.Marshal(nil)
// Send the query to all the storage nodes in parallel.
type nodeResult struct {
status *storage.TSDBStatus
err error
}
sns := getStorageNodes()
snr := startStorageNodesRequest(qt, sns, denyPartialResponse, func(qt *querytracer.Tracer, workerID uint, sn *storageNode) interface{} {
sn.tsdbStatusRequests.Inc()
status, err := sn.getTSDBStatus(qt, requestData, focusLabel, topN, deadline)
if err != nil {
sn.tsdbStatusErrors.Inc()
err = fmt.Errorf("cannot obtain tsdb status from vmstorage %s: %w", sn.connPool.Addr(), err)
}
return &nodeResult{
status: status,
err: err,
}
})
// Collect results.
var statuses []*storage.TSDBStatus
isPartial, err := snr.collectResults(partialTSDBStatusResults, func(result interface{}) error {
nr := result.(*nodeResult)
if nr.err != nil {
return nr.err
}
statuses = append(statuses, nr.status)
return nil
})
if err != nil {
return nil, isPartial, fmt.Errorf("cannot fetch tsdb status from vmstorage nodes: %w", err)
}
status := mergeTSDBStatuses(statuses, topN)
return status, isPartial, nil
}
func mergeTSDBStatuses(statuses []*storage.TSDBStatus, topN int) *storage.TSDBStatus {
totalSeries := uint64(0)
totalLabelValuePairs := uint64(0)
seriesCountByMetricName := make(map[string]uint64)
seriesCountByLabelName := make(map[string]uint64)
seriesCountByFocusLabelValue := make(map[string]uint64)
seriesCountByLabelValuePair := make(map[string]uint64)
labelValueCountByLabelName := make(map[string]uint64)
for _, st := range statuses {
totalSeries += st.TotalSeries
totalLabelValuePairs += st.TotalLabelValuePairs
for _, e := range st.SeriesCountByMetricName {
seriesCountByMetricName[e.Name] += e.Count
}
for _, e := range st.SeriesCountByLabelName {
seriesCountByLabelName[e.Name] += e.Count
}
for _, e := range st.SeriesCountByFocusLabelValue {
seriesCountByFocusLabelValue[e.Name] += e.Count
}
for _, e := range st.SeriesCountByLabelValuePair {
seriesCountByLabelValuePair[e.Name] += e.Count
}
for _, e := range st.LabelValueCountByLabelName {
// The same label values may exist in multiple vmstorage nodes.
// So select the maximum label values count in order to get the value close to reality.
if e.Count > labelValueCountByLabelName[e.Name] {
labelValueCountByLabelName[e.Name] = e.Count
}
}
}
return &storage.TSDBStatus{
TotalSeries: totalSeries,
TotalLabelValuePairs: totalLabelValuePairs,
SeriesCountByMetricName: toTopHeapEntries(seriesCountByMetricName, topN),
SeriesCountByLabelName: toTopHeapEntries(seriesCountByLabelName, topN),
SeriesCountByFocusLabelValue: toTopHeapEntries(seriesCountByFocusLabelValue, topN),
SeriesCountByLabelValuePair: toTopHeapEntries(seriesCountByLabelValuePair, topN),
LabelValueCountByLabelName: toTopHeapEntries(labelValueCountByLabelName, topN),
}
}
func toTopHeapEntries(m map[string]uint64, topN int) []storage.TopHeapEntry {
a := make([]storage.TopHeapEntry, 0, len(m))
for name, count := range m {
a = append(a, storage.TopHeapEntry{
Name: name,
Count: count,
})
}
sort.Slice(a, func(i, j int) bool {
if a[i].Count != a[j].Count {
return a[i].Count > a[j].Count
}
return a[i].Name < a[j].Name
})
if len(a) > topN {
a = a[:topN]
}
return a
}
// SeriesCount returns the number of unique series.
func SeriesCount(qt *querytracer.Tracer, accountID, projectID uint32, denyPartialResponse bool, deadline searchutils.Deadline) (uint64, bool, error) {
qt = qt.NewChild("get series count")
defer qt.Done()
if deadline.Exceeded() {
return 0, false, fmt.Errorf("timeout exceeded before starting the query processing: %s", deadline.String())
}
// Send the query to all the storage nodes in parallel.
type nodeResult struct {
n uint64
err error
}
sns := getStorageNodes()
snr := startStorageNodesRequest(qt, sns, denyPartialResponse, func(qt *querytracer.Tracer, workerID uint, sn *storageNode) interface{} {
sn.seriesCountRequests.Inc()
n, err := sn.getSeriesCount(qt, accountID, projectID, deadline)
if err != nil {
sn.seriesCountErrors.Inc()
err = fmt.Errorf("cannot get series count from vmstorage %s: %w", sn.connPool.Addr(), err)
}
return &nodeResult{
n: n,
err: err,
}
})
// Collect results
var n uint64
isPartial, err := snr.collectResults(partialSeriesCountResults, func(result interface{}) error {
nr := result.(*nodeResult)
if nr.err != nil {
return nr.err
}
n += nr.n
return nil
})
if err != nil {
return 0, isPartial, fmt.Errorf("cannot fetch series count from vmstorage nodes: %w", err)
}
return n, isPartial, nil
}
type tmpBlocksFileWrapper struct {
tbfs []*tmpBlocksFile
ms []map[string]*blockAddrs
orderedMetricNamess [][]string
}
type blockAddrs struct {
addrsPrealloc [4]tmpBlockAddr
addrs []tmpBlockAddr
}
func newBlockAddrs() *blockAddrs {
ba := &blockAddrs{}
ba.addrs = ba.addrsPrealloc[:0]
return ba
}
func newTmpBlocksFileWrapper(sns []*storageNode) *tmpBlocksFileWrapper {
n := len(sns)
tbfs := make([]*tmpBlocksFile, n)
for i := range tbfs {
tbfs[i] = getTmpBlocksFile()
}
ms := make([]map[string]*blockAddrs, n)
for i := range ms {
ms[i] = make(map[string]*blockAddrs)
}
return &tmpBlocksFileWrapper{
tbfs: tbfs,
ms: ms,
orderedMetricNamess: make([][]string, n),
}
}
func (tbfw *tmpBlocksFileWrapper) RegisterAndWriteBlock(mb *storage.MetricBlock, workerID uint) error {
bb := tmpBufPool.Get()
bb.B = storage.MarshalBlock(bb.B[:0], &mb.Block)
addr, err := tbfw.tbfs[workerID].WriteBlockData(bb.B, workerID)
tmpBufPool.Put(bb)
if err != nil {
return err
}
// Do not intern mb.MetricName, since it leads to increased memory usage.
// See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3692
metricName := mb.MetricName
m := tbfw.ms[workerID]
addrs := m[string(metricName)]
if addrs == nil {
addrs = newBlockAddrs()
}
addrs.addrs = append(addrs.addrs, addr)
if len(addrs.addrs) == 1 {
// An optimization for big number of time series with long names: store only a single copy of metricNameStr
// in both tbfw.orderedMetricNamess and tbfw.ms.
orderedMetricNames := tbfw.orderedMetricNamess[workerID]
metricNameStr := string(metricName)
orderedMetricNames = append(orderedMetricNames, metricNameStr)
m[metricNameStr] = addrs
tbfw.orderedMetricNamess[workerID] = orderedMetricNames
}
return nil
}
func (tbfw *tmpBlocksFileWrapper) Finalize() ([]string, map[string]*blockAddrs, uint64, error) {
var bytesTotal uint64
for i, tbf := range tbfw.tbfs {
if err := tbf.Finalize(); err != nil {
closeTmpBlockFiles(tbfw.tbfs)
return nil, nil, 0, fmt.Errorf("cannot finalize temporary blocks file with %d series: %w", len(tbfw.ms[i]), err)
}
bytesTotal += tbf.Len()
}
orderedMetricNames := tbfw.orderedMetricNamess[0]
addrsByMetricName := tbfw.ms[0]
for i, m := range tbfw.ms[1:] {
for _, metricName := range tbfw.orderedMetricNamess[i+1] {
dstAddrs, ok := addrsByMetricName[metricName]
if !ok {
orderedMetricNames = append(orderedMetricNames, metricName)
dstAddrs = newBlockAddrs()
addrsByMetricName[metricName] = dstAddrs
}
dstAddrs.addrs = append(dstAddrs.addrs, m[metricName].addrs...)
}
}
return orderedMetricNames, addrsByMetricName, bytesTotal, nil
}
var metricNamePool = &sync.Pool{
New: func() interface{} {
return &storage.MetricName{}
},
}
// ExportBlocks searches for time series matching sq and calls f for each found block.
//
// f is called in parallel from multiple goroutines.
// It is the responsibility of f to call b.UnmarshalData before reading timestamps and values from the block.
// It is the responsibility of f to filter blocks according to the given tr.
func ExportBlocks(qt *querytracer.Tracer, sq *storage.SearchQuery, deadline searchutils.Deadline,
f func(mn *storage.MetricName, b *storage.Block, tr storage.TimeRange, workerID uint) error) error {
qt = qt.NewChild("export blocks: %s", sq)
defer qt.Done()
if deadline.Exceeded() {
return fmt.Errorf("timeout exceeded before starting data export: %s", deadline.String())
}
tr := storage.TimeRange{
MinTimestamp: sq.MinTimestamp,
MaxTimestamp: sq.MaxTimestamp,
}
sns := getStorageNodes()
blocksRead := newPerNodeCounter(sns)
samples := newPerNodeCounter(sns)
processBlock := func(mb *storage.MetricBlock, workerID uint) error {
mn := metricNamePool.Get().(*storage.MetricName)
if err := mn.Unmarshal(mb.MetricName); err != nil {
return fmt.Errorf("cannot unmarshal metricName: %w", err)
}
if err := f(mn, &mb.Block, tr, workerID); err != nil {
return err
}
mn.Reset()
metricNamePool.Put(mn)
blocksRead.Add(workerID, 1)
samples.Add(workerID, uint64(mb.Block.RowsCount()))
return nil
}
_, err := processBlocks(qt, sns, true, sq, processBlock, deadline)
qt.Printf("export blocks=%d, samples=%d, err=%v", blocksRead.GetTotal(), samples.GetTotal(), err)
if err != nil {
return fmt.Errorf("error occured during export: %w", err)
}
return nil
}
// SearchMetricNames returns all the metric names matching sq until the given deadline.
//
// The returned metric names must be unmarshaled via storage.MetricName.UnmarshalString().
func SearchMetricNames(qt *querytracer.Tracer, denyPartialResponse bool, sq *storage.SearchQuery, deadline searchutils.Deadline) ([]string, bool, error) {
qt = qt.NewChild("fetch metric names: %s", sq)
defer qt.Done()
if deadline.Exceeded() {
return nil, false, fmt.Errorf("timeout exceeded before starting to search metric names: %s", deadline.String())
}
requestData := sq.Marshal(nil)
// Send the query to all the storage nodes in parallel.
type nodeResult struct {
metricNames []string
err error
}
sns := getStorageNodes()
snr := startStorageNodesRequest(qt, sns, denyPartialResponse, func(qt *querytracer.Tracer, workerID uint, sn *storageNode) interface{} {
sn.searchMetricNamesRequests.Inc()
metricNames, err := sn.processSearchMetricNames(qt, requestData, deadline)
if err != nil {
sn.searchMetricNamesErrors.Inc()
err = fmt.Errorf("cannot search metric names on vmstorage %s: %w", sn.connPool.Addr(), err)
}
return &nodeResult{
metricNames: metricNames,
err: err,
}
})
// Collect results.
metricNamesMap := make(map[string]struct{})
isPartial, err := snr.collectResults(partialSearchMetricNamesResults, func(result interface{}) error {
nr := result.(*nodeResult)
if nr.err != nil {
return nr.err
}
for _, metricName := range nr.metricNames {
metricNamesMap[metricName] = struct{}{}
}
return nil
})
if err != nil {
return nil, isPartial, fmt.Errorf("cannot fetch metric names from vmstorage nodes: %w", err)
}
metricNames := make([]string, 0, len(metricNamesMap))
for metricName := range metricNamesMap {
metricNames = append(metricNames, metricName)
}
sort.Strings(metricNames)
qt.Printf("sort %d metric names", len(metricNames))
return metricNames, isPartial, nil
}
// limitExceededErr error generated by vmselect
// on checking complexity limits during processing responses
// from storage nodes.
type limitExceededErr struct {
err error
}
// Error satisfies error interface
func (e limitExceededErr) Error() string { return e.err.Error() }
// ProcessSearchQuery performs sq until the given deadline.
//
// Results.RunParallel or Results.Cancel must be called on the returned Results.
func ProcessSearchQuery(qt *querytracer.Tracer, denyPartialResponse bool, sq *storage.SearchQuery, deadline searchutils.Deadline) (*Results, bool, error) {
qt = qt.NewChild("fetch matching series: %s", sq)
defer qt.Done()
if deadline.Exceeded() {
return nil, false, fmt.Errorf("timeout exceeded before starting the query processing: %s", deadline.String())
}
// Setup search.
tr := storage.TimeRange{
MinTimestamp: sq.MinTimestamp,
MaxTimestamp: sq.MaxTimestamp,
}
sns := getStorageNodes()
tbfw := newTmpBlocksFileWrapper(sns)
blocksRead := newPerNodeCounter(sns)
samples := newPerNodeCounter(sns)
maxSamplesPerWorker := uint64(*maxSamplesPerQuery) / uint64(len(sns))
processBlock := func(mb *storage.MetricBlock, workerID uint) error {
blocksRead.Add(workerID, 1)
n := samples.Add(workerID, uint64(mb.Block.RowsCount()))
if *maxSamplesPerQuery > 0 && n > maxSamplesPerWorker && samples.GetTotal() > uint64(*maxSamplesPerQuery) {
return &limitExceededErr{
err: fmt.Errorf("cannot select more than -search.maxSamplesPerQuery=%d samples; possible solutions: "+
"to increase the -search.maxSamplesPerQuery; to reduce time range for the query; "+
"to use more specific label filters in order to select lower number of series", *maxSamplesPerQuery),
}
}
if err := tbfw.RegisterAndWriteBlock(mb, workerID); err != nil {
return fmt.Errorf("cannot write MetricBlock to temporary blocks file: %w", err)
}
return nil
}
isPartial, err := processBlocks(qt, sns, denyPartialResponse, sq, processBlock, deadline)
if err != nil {
closeTmpBlockFiles(tbfw.tbfs)
return nil, false, fmt.Errorf("error occured during search: %w", err)
}
orderedMetricNames, addrsByMetricName, bytesTotal, err := tbfw.Finalize()
if err != nil {
return nil, false, fmt.Errorf("cannot finalize temporary blocks files: %w", err)
}
qt.Printf("fetch unique series=%d, blocks=%d, samples=%d, bytes=%d", len(addrsByMetricName), blocksRead.GetTotal(), samples.GetTotal(), bytesTotal)
var rss Results
rss.tr = tr
rss.deadline = deadline
rss.tbfs = tbfw.tbfs
pts := make([]packedTimeseries, len(orderedMetricNames))
for i, metricName := range orderedMetricNames {
pts[i] = packedTimeseries{
metricName: metricName,
addrs: addrsByMetricName[metricName].addrs,
}
}
rss.packedTimeseries = pts
return &rss, isPartial, nil
}
// ProcessBlocks calls processBlock per each block matching the given sq.
func ProcessBlocks(qt *querytracer.Tracer, denyPartialResponse bool, sq *storage.SearchQuery,
processBlock func(mb *storage.MetricBlock, workerID uint) error, deadline searchutils.Deadline) (bool, error) {
sns := getStorageNodes()
return processBlocks(qt, sns, denyPartialResponse, sq, processBlock, deadline)
}
func processBlocks(qt *querytracer.Tracer, sns []*storageNode, denyPartialResponse bool, sq *storage.SearchQuery,
processBlock func(mb *storage.MetricBlock, workerID uint) error, deadline searchutils.Deadline) (bool, error) {
requestData := sq.Marshal(nil)
// Make sure that processBlock is no longer called after the exit from processBlocks() function.
// Use per-worker WaitGroup instead of a shared WaitGroup in order to avoid inter-CPU contention,
// which may siginificantly slow down the rate of processBlock calls on multi-CPU systems.
type wgStruct struct {
// mu prevents from calling processBlock when stop is set to true
mu sync.Mutex
// wg is used for waiting until currently executed processBlock calls are finished.
wg sync.WaitGroup
// stop must be set to true when no more processBlocks calls should be made.
stop bool
}
type wgWithPadding struct {
wgStruct
// The padding prevents false sharing on widespread platforms with
// 128 mod (cache line size) = 0 .
_ [128 - unsafe.Sizeof(wgStruct{})%128]byte
}
wgs := make([]wgWithPadding, len(sns))
f := func(mb *storage.MetricBlock, workerID uint) error {
muwg := &wgs[workerID]
muwg.mu.Lock()
if muwg.stop {
muwg.mu.Unlock()
return nil
}
muwg.wg.Add(1)
muwg.mu.Unlock()
err := processBlock(mb, workerID)
muwg.wg.Done()
return err
}
// Send the query to all the storage nodes in parallel.
snr := startStorageNodesRequest(qt, sns, denyPartialResponse, func(qt *querytracer.Tracer, workerID uint, sn *storageNode) interface{} {
sn.searchRequests.Inc()
err := sn.processSearchQuery(qt, requestData, f, workerID, deadline)
if err != nil {
sn.searchErrors.Inc()
err = fmt.Errorf("cannot perform search on vmstorage %s: %w", sn.connPool.Addr(), err)
}
return &err
})
// Collect results.
isPartial, err := snr.collectResults(partialSearchResults, func(result interface{}) error {
errP := result.(*error)
return *errP
})
// Make sure that processBlock is no longer called after the exit from processBlocks() function.
for i := range wgs {
muwg := &wgs[i]
muwg.mu.Lock()
muwg.stop = true
muwg.mu.Unlock()
}
for i := range wgs {
wgs[i].wg.Wait()
}
if err != nil {
return isPartial, fmt.Errorf("cannot fetch query results from vmstorage nodes: %w", err)
}
return isPartial, nil
}
type storageNodesRequest struct {
denyPartialResponse bool
resultsCh chan rpcResult
qts map[*querytracer.Tracer]struct{}
sns []*storageNode
}
type rpcResult struct {
data interface{}
qt *querytracer.Tracer
}
func startStorageNodesRequest(qt *querytracer.Tracer, sns []*storageNode, denyPartialResponse bool,
f func(qt *querytracer.Tracer, workerID uint, sn *storageNode) interface{}) *storageNodesRequest {
resultsCh := make(chan rpcResult, len(sns))
qts := make(map[*querytracer.Tracer]struct{}, len(sns))
for idx, sn := range sns {
qtChild := qt.NewChild("rpc at vmstorage %s", sn.connPool.Addr())
qts[qtChild] = struct{}{}
go func(workerID uint, sn *storageNode) {
data := f(qtChild, workerID, sn)
resultsCh <- rpcResult{
data: data,
qt: qtChild,
}
}(uint(idx), sn)
}
return &storageNodesRequest{
denyPartialResponse: denyPartialResponse,
resultsCh: resultsCh,
qts: qts,
sns: sns,
}
}
func (snr *storageNodesRequest) finishQueryTracers(msg string) {
for qt := range snr.qts {
snr.finishQueryTracer(qt, msg)
}
}
func (snr *storageNodesRequest) finishQueryTracer(qt *querytracer.Tracer, msg string) {
if msg == "" {
qt.Done()
} else {
qt.Donef("%s", msg)
}
delete(snr.qts, qt)
}
func (snr *storageNodesRequest) collectAllResults(f func(result interface{}) error) error {
sns := snr.sns
for i := 0; i < len(sns); i++ {
result := <-snr.resultsCh
if err := f(result.data); err != nil {
snr.finishQueryTracer(result.qt, fmt.Sprintf("error: %s", err))
// Immediately return the error to the caller without waiting for responses from other vmstorage nodes -
// they will be processed in brackground.
snr.finishQueryTracers("cancel request because of error in other vmstorage nodes")
return err
}
snr.finishQueryTracer(result.qt, "")
}
return nil
}
func (snr *storageNodesRequest) collectResults(partialResultsCounter *metrics.Counter, f func(result interface{}) error) (bool, error) {
var errsPartial []error
resultsCollected := 0
sns := snr.sns
for i := 0; i < len(sns); i++ {
// There is no need in timer here, since all the goroutines executing the f function
// passed to startStorageNodesRequest must be finished until the deadline.
result := <-snr.resultsCh
if err := f(result.data); err != nil {
snr.finishQueryTracer(result.qt, fmt.Sprintf("error: %s", err))
resultsCollected++
if *skipSlowReplicas && resultsCollected > len(sns)-*replicationFactor {
// There is no need in waiting for the remaining results,
// because the collected results contain all the data according to the given -replicationFactor.
// This should speed up responses when a part of vmstorage nodes are slow and/or temporarily unavailable.
// See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/711
//
// It is expected that cap(snr.resultsCh) == len(sns), otherwise goroutine leak is possible.
snr.finishQueryTracers(fmt.Sprintf("cancel request because %d out of %d nodes already returned response according to -replicationFactor=%d",
resultsCollected, len(sns), *replicationFactor))
return false, nil
}
var er *errRemote
if errors.As(err, &er) {
// Immediately return the error reported by vmstorage to the caller,
// since such errors usually mean misconfiguration at vmstorage.
// The misconfiguration must be known by the caller, so it is fixed ASAP.
snr.finishQueryTracers("cancel request because of error in other vmstorage nodes")
return false, err
}
var limitErr *limitExceededErr
if errors.As(err, &limitErr) {
// Immediately return the error, since complexity limits are already exceeded,
// and we don't need to process the rest of results.
snr.finishQueryTracers("cancel request because query complexity limit was exceeded")
return false, err
}
errsPartial = append(errsPartial, err)
if snr.denyPartialResponse && len(errsPartial) >= *replicationFactor {
// Return the error to the caller if partial responses are denied
// and the number of partial responses reach -replicationFactor,
// since this means that the response is partial.
snr.finishQueryTracers("cancel request because partial responses are denied and some vmstorage nodes failed to return response")
return false, err
}
continue
}
snr.finishQueryTracer(result.qt, "")
}
if len(errsPartial) < *replicationFactor {
// Assume that the result is full if the the number of failing vmstorage nodes
// is smaller than the -replicationFactor.
return false, nil
}
if len(errsPartial) == len(sns) {
// All the vmstorage nodes returned error.
// Return only the first error, since it has no sense in returning all errors.
return false, errsPartial[0]
}
// Return partial results.
// This allows gracefully degrade vmselect in the case
// if a part of vmstorage nodes are temporarily unavailable.
partialResultsCounter.Inc()
// Do not return the error, since it may spam logs on busy vmselect
// serving high amounts of requests.
partialErrorsLogger.Warnf("%d out of %d vmstorage nodes were unavailable during the query; a sample error: %s", len(errsPartial), len(sns), errsPartial[0])
return true, nil
}
var partialErrorsLogger = logger.WithThrottler("partialErrors", 10*time.Second)
type storageNode struct {
connPool *netutil.ConnPool
// The number of concurrent queries to storageNode.
concurrentQueries *metrics.Counter
// The number of RegisterMetricNames requests to storageNode.
registerMetricNamesRequests *metrics.Counter
// The number of RegisterMetricNames request errors to storageNode.
registerMetricNamesErrors *metrics.Counter
// The number of DeleteSeries requests to storageNode.
deleteSeriesRequests *metrics.Counter
// The number of DeleteSeries request errors to storageNode.
deleteSeriesErrors *metrics.Counter
// The number of requests to labelNames.
labelNamesRequests *metrics.Counter
// The number of errors during requests to labelNames.
labelNamesErrors *metrics.Counter
// The number of requests to labelValues.
labelValuesRequests *metrics.Counter
// The number of errors during requests to labelValuesOnTimeRange.
labelValuesErrors *metrics.Counter
// The number of requests to tagValueSuffixes.
tagValueSuffixesRequests *metrics.Counter
// The number of errors during requests to tagValueSuffixes.
tagValueSuffixesErrors *metrics.Counter
// The number of requests to tsdb status.
tsdbStatusRequests *metrics.Counter
// The number of errors during requests to tsdb status.
tsdbStatusErrors *metrics.Counter
// The number of requests to seriesCount.
seriesCountRequests *metrics.Counter
// The number of errors during requests to seriesCount.
seriesCountErrors *metrics.Counter
// The number of searchMetricNames requests to storageNode.
searchMetricNamesRequests *metrics.Counter
// The number of searchMetricNames errors to storageNode.
searchMetricNamesErrors *metrics.Counter
// The number of search requests to storageNode.
searchRequests *metrics.Counter
// The number of search request errors to storageNode.
searchErrors *metrics.Counter
// The number of metric blocks read.
metricBlocksRead *metrics.Counter
// The number of read metric rows.
metricRowsRead *metrics.Counter
// The number of list tenants requests to storageNode.
tenantsRequests *metrics.Counter
// The number of list tenants errors to storageNode.
tenantsErrors *metrics.Counter
}
func (sn *storageNode) registerMetricNames(qt *querytracer.Tracer, mrs []storage.MetricRow, deadline searchutils.Deadline) error {
if len(mrs) == 0 {
return nil
}
f := func(bc *handshake.BufferedConn) error {
return sn.registerMetricNamesOnConn(bc, mrs)
}
return sn.execOnConnWithPossibleRetry(qt, "registerMetricNames_v3", f, deadline)
}
func (sn *storageNode) deleteSeries(qt *querytracer.Tracer, requestData []byte, deadline searchutils.Deadline) (int, error) {
var deletedCount int
f := func(bc *handshake.BufferedConn) error {
n, err := sn.deleteSeriesOnConn(bc, requestData)
if err != nil {
return err
}
deletedCount = n
return nil
}
if err := sn.execOnConnWithPossibleRetry(qt, "deleteSeries_v5", f, deadline); err != nil {
return 0, err
}
return deletedCount, nil
}
func (sn *storageNode) getLabelNames(qt *querytracer.Tracer, requestData []byte, maxLabelNames int, deadline searchutils.Deadline) ([]string, error) {
var labels []string
f := func(bc *handshake.BufferedConn) error {
ls, err := sn.getLabelNamesOnConn(bc, requestData, maxLabelNames)
if err != nil {
return err
}
labels = ls
return nil
}
if err := sn.execOnConnWithPossibleRetry(qt, "labelNames_v5", f, deadline); err != nil {
return nil, err
}
return labels, nil
}
func (sn *storageNode) getLabelValues(qt *querytracer.Tracer, labelName string, requestData []byte, maxLabelValues int, deadline searchutils.Deadline) ([]string, error) {
var labelValues []string
f := func(bc *handshake.BufferedConn) error {
lvs, err := sn.getLabelValuesOnConn(bc, labelName, requestData, maxLabelValues)
if err != nil {
return err
}
labelValues = lvs
return nil
}
if err := sn.execOnConnWithPossibleRetry(qt, "labelValues_v5", f, deadline); err != nil {
return nil, err
}
return labelValues, nil
}
func (sn *storageNode) getTenants(qt *querytracer.Tracer, tr storage.TimeRange, deadline searchutils.Deadline) ([]string, error) {
var tenants []string
f := func(bc *handshake.BufferedConn) error {
result, err := sn.getTenantsOnConn(bc, tr)
if err != nil {
return err
}
tenants = result
return nil
}
if err := sn.execOnConnWithPossibleRetry(qt, "tenants_v1", f, deadline); err != nil {
return nil, err
}
return tenants, nil
}
func (sn *storageNode) getTagValueSuffixes(qt *querytracer.Tracer, accountID, projectID uint32, tr storage.TimeRange, tagKey, tagValuePrefix string,
delimiter byte, maxSuffixes int, deadline searchutils.Deadline) ([]string, error) {
var suffixes []string
f := func(bc *handshake.BufferedConn) error {
ss, err := sn.getTagValueSuffixesOnConn(bc, accountID, projectID, tr, tagKey, tagValuePrefix, delimiter, maxSuffixes)
if err != nil {
return err
}
suffixes = ss
return nil
}
if err := sn.execOnConnWithPossibleRetry(qt, "tagValueSuffixes_v4", f, deadline); err != nil {
return nil, err
}
return suffixes, nil
}
func (sn *storageNode) getTSDBStatus(qt *querytracer.Tracer, requestData []byte, focusLabel string, topN int, deadline searchutils.Deadline) (*storage.TSDBStatus, error) {
var status *storage.TSDBStatus
f := func(bc *handshake.BufferedConn) error {
st, err := sn.getTSDBStatusOnConn(bc, requestData, focusLabel, topN)
if err != nil {
return err
}
status = st
return nil
}
if err := sn.execOnConnWithPossibleRetry(qt, "tsdbStatus_v5", f, deadline); err != nil {
return nil, err
}
return status, nil
}
func (sn *storageNode) getSeriesCount(qt *querytracer.Tracer, accountID, projectID uint32, deadline searchutils.Deadline) (uint64, error) {
var n uint64
f := func(bc *handshake.BufferedConn) error {
nn, err := sn.getSeriesCountOnConn(bc, accountID, projectID)
if err != nil {
return err
}
n = nn
return nil
}
if err := sn.execOnConnWithPossibleRetry(qt, "seriesCount_v4", f, deadline); err != nil {
return 0, err
}
return n, nil
}
func (sn *storageNode) processSearchMetricNames(qt *querytracer.Tracer, requestData []byte, deadline searchutils.Deadline) ([]string, error) {
var metricNames []string
f := func(bc *handshake.BufferedConn) error {
mns, err := sn.processSearchMetricNamesOnConn(bc, requestData)
if err != nil {
return err
}
metricNames = mns
return nil
}
if err := sn.execOnConnWithPossibleRetry(qt, "searchMetricNames_v3", f, deadline); err != nil {
return nil, err
}
return metricNames, nil
}
func (sn *storageNode) processSearchQuery(qt *querytracer.Tracer, requestData []byte, processBlock func(mb *storage.MetricBlock, workerID uint) error,
workerID uint, deadline searchutils.Deadline) error {
f := func(bc *handshake.BufferedConn) error {
if err := sn.processSearchQueryOnConn(bc, requestData, processBlock, workerID); err != nil {
return err
}
return nil
}
return sn.execOnConnWithPossibleRetry(qt, "search_v7", f, deadline)
}
func (sn *storageNode) execOnConnWithPossibleRetry(qt *querytracer.Tracer, funcName string, f func(bc *handshake.BufferedConn) error, deadline searchutils.Deadline) error {
qtChild := qt.NewChild("rpc call %s()", funcName)
err := sn.execOnConn(qtChild, funcName, f, deadline)
defer qtChild.Done()
if err == nil {
return nil
}
var er *errRemote
var ne net.Error
if errors.As(err, &er) || errors.As(err, &ne) && ne.Timeout() {
// There is no sense in repeating the query on errors induced by vmstorage (errRemote) or on network timeout errors.
return err
}
// Repeat the query in the hope the error was temporary.
qtRetry := qtChild.NewChild("retry rpc call %s() after error", funcName)
err = sn.execOnConn(qtRetry, funcName, f, deadline)
qtRetry.Done()
return err
}
func (sn *storageNode) execOnConn(qt *querytracer.Tracer, funcName string, f func(bc *handshake.BufferedConn) error, deadline searchutils.Deadline) error {
sn.concurrentQueries.Inc()
defer sn.concurrentQueries.Dec()
d := time.Unix(int64(deadline.Deadline()), 0)
nowSecs := fasttime.UnixTimestamp()
currentTime := time.Unix(int64(nowSecs), 0)
timeout := d.Sub(currentTime)
if timeout <= 0 {
return fmt.Errorf("request timeout reached: %s", deadline.String())
}
bc, err := sn.connPool.Get()
if err != nil {
return fmt.Errorf("cannot obtain connection from a pool: %w", err)
}
// Extend the connection deadline by 2 seconds, so the remote storage could return `timeout` error
// without the need to break the connection.
connDeadline := d.Add(2 * time.Second)
if err := bc.SetDeadline(connDeadline); err != nil {
_ = bc.Close()
logger.Panicf("FATAL: cannot set connection deadline: %s", err)
}
if err := writeBytes(bc, []byte(funcName)); err != nil {
// Close the connection instead of returning it to the pool,
// since it may be broken.
_ = bc.Close()
return fmt.Errorf("cannot send funcName=%q to the server: %w", funcName, err)
}
// Send query trace flag
traceEnabled := qt.Enabled()
if err := writeBool(bc, traceEnabled); err != nil {
// Close the connection instead of returning it to the pool,
// since it may be broken.
_ = bc.Close()
return fmt.Errorf("cannot send traceEnabled=%v for funcName=%q to the server: %w", traceEnabled, funcName, err)
}
// Send the remaining timeout instead of deadline to remote server, since it may have different time.
timeoutSecs := uint32(timeout.Seconds() + 1)
if err := writeUint32(bc, timeoutSecs); err != nil {
// Close the connection instead of returning it to the pool,
// since it may be broken.
_ = bc.Close()
return fmt.Errorf("cannot send timeout=%d for funcName=%q to the server: %w", timeout, funcName, err)
}
// Execute the rpc function.
if err := f(bc); err != nil {
remoteAddr := bc.RemoteAddr()
var er *errRemote
if errors.As(err, &er) {
// Remote error. The connection may be re-used. Return it to the pool.
_ = readTrace(qt, bc)
sn.connPool.Put(bc)
} else {
// Local error.
// Close the connection instead of returning it to the pool,
// since it may be broken.
_ = bc.Close()
}
if deadline.Exceeded() || errors.Is(err, os.ErrDeadlineExceeded) {
return fmt.Errorf("cannot execute funcName=%q on vmstorage %q with timeout %s: %w", funcName, remoteAddr, deadline.String(), err)
}
return fmt.Errorf("cannot execute funcName=%q on vmstorage %q: %w", funcName, remoteAddr, err)
}
// Read trace from the response
if err := readTrace(qt, bc); err != nil {
// Close the connection instead of returning it to the pool,
// since it may be broken.
_ = bc.Close()
return err
}
// Return the connection back to the pool, assuming it is healthy.
sn.connPool.Put(bc)
return nil
}
func readTrace(qt *querytracer.Tracer, bc *handshake.BufferedConn) error {
bb := traceJSONBufPool.Get()
var err error
bb.B, err = readBytes(bb.B[:0], bc, maxTraceJSONSize)
if err != nil {
return fmt.Errorf("cannot read trace from the server: %w", err)
}
if err := qt.AddJSON(bb.B); err != nil {
return fmt.Errorf("cannot parse trace read from the server: %w", err)
}
traceJSONBufPool.Put(bb)
return nil
}
var traceJSONBufPool bytesutil.ByteBufferPool
const maxTraceJSONSize = 1024 * 1024
type errRemote struct {
msg string
}
func (er *errRemote) Error() string {
return er.msg
}
func newErrRemote(buf []byte) error {
err := &errRemote{
msg: string(buf),
}
if !strings.Contains(err.msg, "denyQueriesOutsideRetention") {
return err
}
return &httpserver.ErrorWithStatusCode{
Err: err,
StatusCode: http.StatusServiceUnavailable,
}
}
func (sn *storageNode) registerMetricNamesOnConn(bc *handshake.BufferedConn, mrs []storage.MetricRow) error {
// Send the request to sn.
if err := writeUint64(bc, uint64(len(mrs))); err != nil {
return fmt.Errorf("cannot send metricsCount to conn: %w", err)
}
for i, mr := range mrs {
if err := writeBytes(bc, mr.MetricNameRaw); err != nil {
return fmt.Errorf("cannot send MetricNameRaw #%d to conn: %w", i+1, err)
}
if err := writeUint64(bc, uint64(mr.Timestamp)); err != nil {
return fmt.Errorf("cannot send Timestamp #%d to conn: %w", i+1, err)
}
}
if err := bc.Flush(); err != nil {
return fmt.Errorf("cannot flush registerMetricNames request to conn: %w", err)
}
// Read response error.
buf, err := readBytes(nil, bc, maxErrorMessageSize)
if err != nil {
return fmt.Errorf("cannot read error message: %w", err)
}
if len(buf) > 0 {
return newErrRemote(buf)
}
return nil
}
func (sn *storageNode) deleteSeriesOnConn(bc *handshake.BufferedConn, requestData []byte) (int, error) {
// Send the request to sn
if err := writeBytes(bc, requestData); err != nil {
return 0, fmt.Errorf("cannot send deleteSeries request to conn: %w", err)
}
if err := bc.Flush(); err != nil {
return 0, fmt.Errorf("cannot flush deleteSeries request to conn: %w", err)
}
// Read response error.
buf, err := readBytes(nil, bc, maxErrorMessageSize)
if err != nil {
return 0, fmt.Errorf("cannot read error message: %w", err)
}
if len(buf) > 0 {
return 0, newErrRemote(buf)
}
// Read deletedCount
deletedCount, err := readUint64(bc)
if err != nil {
return 0, fmt.Errorf("cannot read deletedCount value: %w", err)
}
return int(deletedCount), nil
}
const maxLabelNameSize = 16 * 1024 * 1024
func (sn *storageNode) getLabelNamesOnConn(bc *handshake.BufferedConn, requestData []byte, maxLabelNames int) ([]string, error) {
// Send the request to sn.
if err := writeBytes(bc, requestData); err != nil {
return nil, fmt.Errorf("cannot write requestData: %w", err)
}
if err := writeLimit(bc, maxLabelNames); err != nil {
return nil, fmt.Errorf("cannot write maxLabelNames=%d: %w", maxLabelNames, err)
}
if err := bc.Flush(); err != nil {
return nil, fmt.Errorf("cannot flush request to conn: %w", err)
}
// Read response error.
buf, err := readBytes(nil, bc, maxErrorMessageSize)
if err != nil {
return nil, fmt.Errorf("cannot read error message: %w", err)
}
if len(buf) > 0 {
return nil, newErrRemote(buf)
}
// Read response
var labels []string
for {
buf, err = readBytes(buf[:0], bc, maxLabelNameSize)
if err != nil {
return nil, fmt.Errorf("cannot read labels: %w", err)
}
if len(buf) == 0 {
// Reached the end of the response
return labels, nil
}
labels = append(labels, string(buf))
}
}
const maxLabelValueSize = 16 * 1024 * 1024
const maxTenantValueSize = 16 * 1024 * 1024 // TODO: calc 'uint32:uint32'
func (sn *storageNode) getLabelValuesOnConn(bc *handshake.BufferedConn, labelName string, requestData []byte, maxLabelValues int) ([]string, error) {
// Send the request to sn.
if err := writeBytes(bc, []byte(labelName)); err != nil {
return nil, fmt.Errorf("cannot send labelName=%q to conn: %w", labelName, err)
}
if err := writeBytes(bc, requestData); err != nil {
return nil, fmt.Errorf("cannot write requestData: %w", err)
}
if err := writeLimit(bc, maxLabelValues); err != nil {
return nil, fmt.Errorf("cannot write maxLabelValues=%d: %w", maxLabelValues, err)
}
if err := bc.Flush(); err != nil {
return nil, fmt.Errorf("cannot flush labelName to conn: %w", err)
}
// Read response error.
buf, err := readBytes(nil, bc, maxErrorMessageSize)
if err != nil {
return nil, fmt.Errorf("cannot read error message: %w", err)
}
if len(buf) > 0 {
return nil, newErrRemote(buf)
}
// Read response
labelValues, _, err := readLabelValues(buf, bc)
if err != nil {
return nil, err
}
return labelValues, nil
}
func readLabelValues(buf []byte, bc *handshake.BufferedConn) ([]string, []byte, error) {
var labelValues []string
for {
var err error
buf, err = readBytes(buf[:0], bc, maxLabelValueSize)
if err != nil {
return nil, buf, fmt.Errorf("cannot read labelValue: %w", err)
}
if len(buf) == 0 {
// Reached the end of the response
return labelValues, buf, nil
}
labelValues = append(labelValues, string(buf))
}
}
func (sn *storageNode) getTenantsOnConn(bc *handshake.BufferedConn, tr storage.TimeRange) ([]string, error) {
if err := writeTimeRange(bc, tr); err != nil {
return nil, err
}
if err := bc.Flush(); err != nil {
return nil, fmt.Errorf("cannot flush request to conn: %w", err)
}
// Read response error.
buf, err := readBytes(nil, bc, maxErrorMessageSize)
if err != nil {
return nil, fmt.Errorf("cannot read error message: %w", err)
}
if len(buf) > 0 {
return nil, newErrRemote(buf)
}
// Read response
var tenants []string
for {
var err error
buf, err = readBytes(buf[:0], bc, maxTenantValueSize)
if err != nil {
return nil, fmt.Errorf("cannot read tenant #%d: %w", len(tenants), err)
}
if len(buf) == 0 {
// Reached the end of the response
return tenants, nil
}
tenants = append(tenants, string(buf))
}
}
func (sn *storageNode) getTagValueSuffixesOnConn(bc *handshake.BufferedConn, accountID, projectID uint32,
tr storage.TimeRange, tagKey, tagValuePrefix string, delimiter byte, maxSuffixes int) ([]string, error) {
// Send the request to sn.
if err := sendAccountIDProjectID(bc, accountID, projectID); err != nil {
return nil, err
}
if err := writeTimeRange(bc, tr); err != nil {
return nil, err
}
if err := writeBytes(bc, []byte(tagKey)); err != nil {
return nil, fmt.Errorf("cannot send tagKey=%q to conn: %w", tagKey, err)
}
if err := writeBytes(bc, []byte(tagValuePrefix)); err != nil {
return nil, fmt.Errorf("cannot send tagValuePrefix=%q to conn: %w", tagValuePrefix, err)
}
if err := writeByte(bc, delimiter); err != nil {
return nil, fmt.Errorf("cannot send delimiter=%c to conn: %w", delimiter, err)
}
if err := writeLimit(bc, maxSuffixes); err != nil {
return nil, fmt.Errorf("cannot send maxSuffixes=%d to conn: %w", maxSuffixes, err)
}
if err := bc.Flush(); err != nil {
return nil, fmt.Errorf("cannot flush request to conn: %w", err)
}
// Read response error.
buf, err := readBytes(nil, bc, maxErrorMessageSize)
if err != nil {
return nil, fmt.Errorf("cannot read error message: %w", err)
}
if len(buf) > 0 {
return nil, newErrRemote(buf)
}
// Read response.
// The response may contain empty suffix, so it is prepended with the number of the following suffixes.
suffixesCount, err := readUint64(bc)
if err != nil {
return nil, fmt.Errorf("cannot read the number of tag value suffixes: %w", err)
}
suffixes := make([]string, 0, suffixesCount)
for i := 0; i < int(suffixesCount); i++ {
buf, err = readBytes(buf[:0], bc, maxLabelValueSize)
if err != nil {
return nil, fmt.Errorf("cannot read tag value suffix #%d: %w", i+1, err)
}
suffixes = append(suffixes, string(buf))
}
return suffixes, nil
}
func (sn *storageNode) getTSDBStatusOnConn(bc *handshake.BufferedConn, requestData []byte, focusLabel string, topN int) (*storage.TSDBStatus, error) {
// Send the request to sn.
if err := writeBytes(bc, requestData); err != nil {
return nil, fmt.Errorf("cannot write requestData: %w", err)
}
if err := writeBytes(bc, []byte(focusLabel)); err != nil {
return nil, fmt.Errorf("cannot write focusLabel=%q: %w", focusLabel, err)
}
// topN shouldn't exceed 32 bits, so send it as uint32.
if err := writeUint32(bc, uint32(topN)); err != nil {
return nil, fmt.Errorf("cannot send topN=%d to conn: %w", topN, err)
}
if err := bc.Flush(); err != nil {
return nil, fmt.Errorf("cannot flush tsdbStatus args to conn: %w", err)
}
// Read response error.
buf, err := readBytes(nil, bc, maxErrorMessageSize)
if err != nil {
return nil, fmt.Errorf("cannot read error message: %w", err)
}
if len(buf) > 0 {
return nil, newErrRemote(buf)
}
// Read response
return readTSDBStatus(bc)
}
func readTSDBStatus(bc *handshake.BufferedConn) (*storage.TSDBStatus, error) {
totalSeries, err := readUint64(bc)
if err != nil {
return nil, fmt.Errorf("cannot read totalSeries: %w", err)
}
totalLabelValuePairs, err := readUint64(bc)
if err != nil {
return nil, fmt.Errorf("cannot read totalLabelValuePairs: %w", err)
}
seriesCountByMetricName, err := readTopHeapEntries(bc)
if err != nil {
return nil, fmt.Errorf("cannot read seriesCountByMetricName: %w", err)
}
seriesCountByLabelName, err := readTopHeapEntries(bc)
if err != nil {
return nil, fmt.Errorf("cannot read seriesCountByLabelName: %w", err)
}
seriesCountByFocusLabelValue, err := readTopHeapEntries(bc)
if err != nil {
return nil, fmt.Errorf("cannot read seriesCountByFocusLabelValue: %w", err)
}
seriesCountByLabelValuePair, err := readTopHeapEntries(bc)
if err != nil {
return nil, fmt.Errorf("cannot read seriesCountByLabelValuePair: %w", err)
}
labelValueCountByLabelName, err := readTopHeapEntries(bc)
if err != nil {
return nil, fmt.Errorf("cannot read labelValueCountByLabelName: %w", err)
}
status := &storage.TSDBStatus{
TotalSeries: totalSeries,
TotalLabelValuePairs: totalLabelValuePairs,
SeriesCountByMetricName: seriesCountByMetricName,
SeriesCountByLabelName: seriesCountByLabelName,
SeriesCountByFocusLabelValue: seriesCountByFocusLabelValue,
SeriesCountByLabelValuePair: seriesCountByLabelValuePair,
LabelValueCountByLabelName: labelValueCountByLabelName,
}
return status, nil
}
func readTopHeapEntries(bc *handshake.BufferedConn) ([]storage.TopHeapEntry, error) {
n, err := readUint64(bc)
if err != nil {
return nil, fmt.Errorf("cannot read the number of topHeapEntries: %w", err)
}
var a []storage.TopHeapEntry
var buf []byte
for i := uint64(0); i < n; i++ {
buf, err = readBytes(buf[:0], bc, maxLabelNameSize)
if err != nil {
return nil, fmt.Errorf("cannot read label name: %w", err)
}
count, err := readUint64(bc)
if err != nil {
return nil, fmt.Errorf("cannot read label count: %w", err)
}
a = append(a, storage.TopHeapEntry{
Name: string(buf),
Count: count,
})
}
return a, nil
}
func (sn *storageNode) getSeriesCountOnConn(bc *handshake.BufferedConn, accountID, projectID uint32) (uint64, error) {
// Send the request to sn.
if err := sendAccountIDProjectID(bc, accountID, projectID); err != nil {
return 0, err
}
if err := bc.Flush(); err != nil {
return 0, fmt.Errorf("cannot flush seriesCount args to conn: %w", err)
}
// Read response error.
buf, err := readBytes(nil, bc, maxErrorMessageSize)
if err != nil {
return 0, fmt.Errorf("cannot read error message: %w", err)
}
if len(buf) > 0 {
return 0, newErrRemote(buf)
}
// Read response
n, err := readUint64(bc)
if err != nil {
return 0, fmt.Errorf("cannot read series count: %w", err)
}
return n, nil
}
// maxMetricBlockSize is the maximum size of serialized MetricBlock.
const maxMetricBlockSize = 1024 * 1024
// maxErrorMessageSize is the maximum size of error message received
// from vmstorage.
const maxErrorMessageSize = 64 * 1024
func (sn *storageNode) processSearchMetricNamesOnConn(bc *handshake.BufferedConn, requestData []byte) ([]string, error) {
// Send the requst to sn.
if err := writeBytes(bc, requestData); err != nil {
return nil, fmt.Errorf("cannot write requestData: %w", err)
}
if err := bc.Flush(); err != nil {
return nil, fmt.Errorf("cannot flush requestData to conn: %w", err)
}
// Read response error.
buf, err := readBytes(nil, bc, maxErrorMessageSize)
if err != nil {
return nil, fmt.Errorf("cannot read error message: %w", err)
}
if len(buf) > 0 {
return nil, newErrRemote(buf)
}
// Read metricNames from response.
metricNamesCount, err := readUint64(bc)
if err != nil {
return nil, fmt.Errorf("cannot read metricNamesCount: %w", err)
}
metricNames := make([]string, metricNamesCount)
for i := int64(0); i < int64(metricNamesCount); i++ {
buf, err = readBytes(buf[:0], bc, maxMetricNameSize)
if err != nil {
return nil, fmt.Errorf("cannot read metricName #%d: %w", i+1, err)
}
metricNames[i] = string(buf)
}
return metricNames, nil
}
const maxMetricNameSize = 64 * 1024
func (sn *storageNode) processSearchQueryOnConn(bc *handshake.BufferedConn, requestData []byte,
processBlock func(mb *storage.MetricBlock, workerID uint) error, workerID uint) error {
// Send the request to sn.
if err := writeBytes(bc, requestData); err != nil {
return fmt.Errorf("cannot write requestData: %w", err)
}
if err := bc.Flush(); err != nil {
return fmt.Errorf("cannot flush requestData to conn: %w", err)
}
// Read response error.
buf, err := readBytes(nil, bc, maxErrorMessageSize)
if err != nil {
return fmt.Errorf("cannot read error message: %w", err)
}
if len(buf) > 0 {
return newErrRemote(buf)
}
// Read response. It may consist of multiple MetricBlocks.
blocksRead := 0
var mb storage.MetricBlock
for {
buf, err = readBytes(buf[:0], bc, maxMetricBlockSize)
if err != nil {
return fmt.Errorf("cannot read MetricBlock #%d: %w", blocksRead, err)
}
if len(buf) == 0 {
// Reached the end of the response
return nil
}
tail, err := mb.Unmarshal(buf)
if err != nil {
return fmt.Errorf("cannot unmarshal MetricBlock #%d from %d bytes: %w", blocksRead, len(buf), err)
}
if len(tail) != 0 {
return fmt.Errorf("non-empty tail after unmarshaling MetricBlock #%d: (len=%d) %q", blocksRead, len(tail), tail)
}
blocksRead++
sn.metricBlocksRead.Inc()
sn.metricRowsRead.Add(mb.Block.RowsCount())
if err := processBlock(&mb, workerID); err != nil {
return fmt.Errorf("cannot process MetricBlock #%d: %w", blocksRead, err)
}
}
}
func writeTimeRange(bc *handshake.BufferedConn, tr storage.TimeRange) error {
if err := writeUint64(bc, uint64(tr.MinTimestamp)); err != nil {
return fmt.Errorf("cannot send minTimestamp=%d to conn: %w", tr.MinTimestamp, err)
}
if err := writeUint64(bc, uint64(tr.MaxTimestamp)); err != nil {
return fmt.Errorf("cannot send maxTimestamp=%d to conn: %w", tr.MaxTimestamp, err)
}
return nil
}
func writeLimit(bc *handshake.BufferedConn, limit int) error {
if limit < 0 {
limit = 0
}
if limit > 1<<31-1 {
limit = 1<<31 - 1
}
limitU32 := uint32(limit)
if err := writeUint32(bc, limitU32); err != nil {
return fmt.Errorf("cannot write limit=%d to conn: %w", limitU32, err)
}
return nil
}
func writeBytes(bc *handshake.BufferedConn, buf []byte) error {
sizeBuf := encoding.MarshalUint64(nil, uint64(len(buf)))
if _, err := bc.Write(sizeBuf); err != nil {
return err
}
_, err := bc.Write(buf)
return err
}
func writeUint32(bc *handshake.BufferedConn, n uint32) error {
buf := encoding.MarshalUint32(nil, n)
_, err := bc.Write(buf)
return err
}
func writeUint64(bc *handshake.BufferedConn, n uint64) error {
buf := encoding.MarshalUint64(nil, n)
_, err := bc.Write(buf)
return err
}
func writeBool(bc *handshake.BufferedConn, b bool) error {
var buf [1]byte
if b {
buf[0] = 1
}
_, err := bc.Write(buf[:])
return err
}
func writeByte(bc *handshake.BufferedConn, b byte) error {
var buf [1]byte
buf[0] = b
_, err := bc.Write(buf[:])
return err
}
func sendAccountIDProjectID(bc *handshake.BufferedConn, accountID, projectID uint32) error {
if err := writeUint32(bc, accountID); err != nil {
return fmt.Errorf("cannot send accountID=%d to conn: %w", accountID, err)
}
if err := writeUint32(bc, projectID); err != nil {
return fmt.Errorf("cannot send projectID=%d to conn: %w", projectID, err)
}
return nil
}
func readBytes(buf []byte, bc *handshake.BufferedConn, maxDataSize int) ([]byte, error) {
buf = bytesutil.ResizeNoCopyMayOverallocate(buf, 8)
if n, err := io.ReadFull(bc, buf); err != nil {
return buf, fmt.Errorf("cannot read %d bytes with data size: %w; read only %d bytes", len(buf), err, n)
}
dataSize := encoding.UnmarshalUint64(buf)
if dataSize > uint64(maxDataSize) {
return buf, fmt.Errorf("too big data size: %d; it mustn't exceed %d bytes", dataSize, maxDataSize)
}
buf = bytesutil.ResizeNoCopyMayOverallocate(buf, int(dataSize))
if dataSize == 0 {
return buf, nil
}
if n, err := io.ReadFull(bc, buf); err != nil {
return buf, fmt.Errorf("cannot read data with size %d: %w; read only %d bytes", dataSize, err, n)
}
return buf, nil
}
func readUint64(bc *handshake.BufferedConn) (uint64, error) {
var buf [8]byte
if _, err := io.ReadFull(bc, buf[:]); err != nil {
return 0, fmt.Errorf("cannot read uint64: %w", err)
}
n := encoding.UnmarshalUint64(buf[:])
return n, nil
}
type storageNodesBucket struct {
ms *metrics.Set
sns []*storageNode
}
var storageNodes atomic.Value
func getStorageNodesBucket() *storageNodesBucket {
return storageNodes.Load().(*storageNodesBucket)
}
func setStorageNodesBucket(snb *storageNodesBucket) {
storageNodes.Store(snb)
}
func getStorageNodes() []*storageNode {
snb := getStorageNodesBucket()
return snb.sns
}
// Init initializes storage nodes' connections to the given addrs.
//
// MustStop must be called when the initialized connections are no longer needed.
func Init(addrs []string) {
snb := initStorageNodes(addrs)
setStorageNodesBucket(snb)
}
// MustStop gracefully stops netstorage.
func MustStop() {
snb := getStorageNodesBucket()
mustStopStorageNodes(snb)
}
func initStorageNodes(addrs []string) *storageNodesBucket {
if len(addrs) == 0 {
logger.Panicf("BUG: addrs must be non-empty")
}
var snsLock sync.Mutex
sns := make([]*storageNode, 0, len(addrs))
var wg sync.WaitGroup
ms := metrics.NewSet()
// initialize connections to storage nodes in parallel in order speed up the initialization
// for big number of storage nodes.
// See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/4364
for _, addr := range addrs {
wg.Add(1)
go func(addr string) {
defer wg.Done()
sn := newStorageNode(ms, addr)
snsLock.Lock()
sns = append(sns, sn)
snsLock.Unlock()
}(addr)
}
wg.Wait()
metrics.RegisterSet(ms)
return &storageNodesBucket{
sns: sns,
ms: ms,
}
}
func newStorageNode(ms *metrics.Set, addr string) *storageNode {
if _, _, err := net.SplitHostPort(addr); err != nil {
// Automatically add missing port.
addr += ":8401"
}
// There is no need in requests compression, since vmselect requests are usually very small.
connPool := netutil.NewConnPool(ms, "vmselect", addr, handshake.VMSelectClient, 0, *vmstorageDialTimeout)
sn := &storageNode{
connPool: connPool,
concurrentQueries: ms.NewCounter(fmt.Sprintf(`vm_concurrent_queries{name="vmselect", addr=%q}`, addr)),
registerMetricNamesRequests: ms.NewCounter(fmt.Sprintf(`vm_requests_total{action="registerMetricNames", type="rpcClient", name="vmselect", addr=%q}`, addr)),
registerMetricNamesErrors: ms.NewCounter(fmt.Sprintf(`vm_request_errors_total{action="registerMetricNames", type="rpcClient", name="vmselect", addr=%q}`, addr)),
deleteSeriesRequests: ms.NewCounter(fmt.Sprintf(`vm_requests_total{action="deleteSeries", type="rpcClient", name="vmselect", addr=%q}`, addr)),
deleteSeriesErrors: ms.NewCounter(fmt.Sprintf(`vm_request_errors_total{action="deleteSeries", type="rpcClient", name="vmselect", addr=%q}`, addr)),
labelNamesRequests: ms.NewCounter(fmt.Sprintf(`vm_requests_total{action="labelNames", type="rpcClient", name="vmselect", addr=%q}`, addr)),
labelNamesErrors: ms.NewCounter(fmt.Sprintf(`vm_request_errors_total{action="labelNames", type="rpcClient", name="vmselect", addr=%q}`, addr)),
labelValuesRequests: ms.NewCounter(fmt.Sprintf(`vm_requests_total{action="labelValues", type="rpcClient", name="vmselect", addr=%q}`, addr)),
labelValuesErrors: ms.NewCounter(fmt.Sprintf(`vm_request_errors_total{action="labelValues", type="rpcClient", name="vmselect", addr=%q}`, addr)),
tagValueSuffixesRequests: ms.NewCounter(fmt.Sprintf(`vm_requests_total{action="tagValueSuffixes", type="rpcClient", name="vmselect", addr=%q}`, addr)),
tagValueSuffixesErrors: ms.NewCounter(fmt.Sprintf(`vm_request_errors_total{action="tagValueSuffixes", type="rpcClient", name="vmselect", addr=%q}`, addr)),
tsdbStatusRequests: ms.NewCounter(fmt.Sprintf(`vm_requests_total{action="tsdbStatus", type="rpcClient", name="vmselect", addr=%q}`, addr)),
tsdbStatusErrors: ms.NewCounter(fmt.Sprintf(`vm_request_errors_total{action="tsdbStatus", type="rpcClient", name="vmselect", addr=%q}`, addr)),
seriesCountRequests: ms.NewCounter(fmt.Sprintf(`vm_requests_total{action="seriesCount", type="rpcClient", name="vmselect", addr=%q}`, addr)),
seriesCountErrors: ms.NewCounter(fmt.Sprintf(`vm_request_errors_total{action="seriesCount", type="rpcClient", name="vmselect", addr=%q}`, addr)),
searchMetricNamesRequests: ms.NewCounter(fmt.Sprintf(`vm_requests_total{action="searchMetricNames", type="rpcClient", name="vmselect", addr=%q}`, addr)),
searchMetricNamesErrors: ms.NewCounter(fmt.Sprintf(`vm_request_errors_total{action="searchMetricNames", type="rpcClient", name="vmselect", addr=%q}`, addr)),
searchRequests: ms.NewCounter(fmt.Sprintf(`vm_requests_total{action="search", type="rpcClient", name="vmselect", addr=%q}`, addr)),
searchErrors: ms.NewCounter(fmt.Sprintf(`vm_request_errors_total{action="search", type="rpcClient", name="vmselect", addr=%q}`, addr)),
tenantsRequests: ms.NewCounter(fmt.Sprintf(`vm_requests_total{action="tenants", type="rpcClient", name="vmselect", addr=%q}`, addr)),
tenantsErrors: ms.NewCounter(fmt.Sprintf(`vm_request_errors_total{action="tenants", type="rpcClient", name="vmselect", addr=%q}`, addr)),
metricBlocksRead: ms.NewCounter(fmt.Sprintf(`vm_metric_blocks_read_total{name="vmselect", addr=%q}`, addr)),
metricRowsRead: ms.NewCounter(fmt.Sprintf(`vm_metric_rows_read_total{name="vmselect", addr=%q}`, addr)),
}
return sn
}
func mustStopStorageNodes(snb *storageNodesBucket) {
for _, sn := range snb.sns {
sn.connPool.MustStop()
}
metrics.UnregisterSet(snb.ms)
snb.ms.UnregisterAllMetrics()
}
var (
partialLabelNamesResults = metrics.NewCounter(`vm_partial_results_total{action="labelNames", name="vmselect"}`)
partialLabelValuesResults = metrics.NewCounter(`vm_partial_results_total{action="labelValues", name="vmselect"}`)
partialTagValueSuffixesResults = metrics.NewCounter(`vm_partial_results_total{action="tagValueSuffixes", name="vmselect"}`)
partialTSDBStatusResults = metrics.NewCounter(`vm_partial_results_total{action="tsdbStatus", name="vmselect"}`)
partialSeriesCountResults = metrics.NewCounter(`vm_partial_results_total{action="seriesCount", name="vmselect"}`)
partialSearchMetricNamesResults = metrics.NewCounter(`vm_partial_results_total{action="searchMetricNames", name="vmselect"}`)
partialSearchResults = metrics.NewCounter(`vm_partial_results_total{action="search", name="vmselect"}`)
)
func applyGraphiteRegexpFilter(filter string, ss []string) ([]string, error) {
// Anchor filter regexp to the beginning of the string as Graphite does.
// See https://github.com/graphite-project/graphite-web/blob/3ad279df5cb90b211953e39161df416e54a84948/webapp/graphite/tags/localdatabase.py#L157
filter = "^(?:" + filter + ")"
re, err := metricsql.CompileRegexp(filter)
if err != nil {
return nil, fmt.Errorf("cannot parse regexp filter=%q: %w", filter, err)
}
dst := ss[:0]
for _, s := range ss {
if re.MatchString(s) {
dst = append(dst, s)
}
}
return dst, nil
}
type uint64WithPadding struct {
n uint64
// The padding prevents false sharing on widespread platforms with
// 128 mod (cache line size) = 0 .
_ [128 - unsafe.Sizeof(uint64(0))%128]byte
}
type perNodeCounter struct {
ns []uint64WithPadding
}
func newPerNodeCounter(sns []*storageNode) *perNodeCounter {
return &perNodeCounter{
ns: make([]uint64WithPadding, len(sns)),
}
}
func (pnc *perNodeCounter) Add(nodeIdx uint, n uint64) uint64 {
return atomic.AddUint64(&pnc.ns[nodeIdx].n, n)
}
func (pnc *perNodeCounter) GetTotal() uint64 {
var total uint64
for _, n := range pnc.ns {
total += n.n
}
return total
}