mirror of
https://github.com/VictoriaMetrics/VictoriaMetrics.git
synced 2024-12-24 03:06:48 +01:00
710 lines
18 KiB
Go
710 lines
18 KiB
Go
package logstorage
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import (
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"context"
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"math"
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"slices"
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"sort"
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"sync"
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"sync/atomic"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/cgroup"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/slicesutil"
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)
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// genericSearchOptions contain options used for search.
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type genericSearchOptions struct {
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// tenantIDs must contain the list of tenantIDs for the search.
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tenantIDs []TenantID
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// filter is the filter to use for the search
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filter filter
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// neededColumnNames contains names of columns to return in the result
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neededColumnNames []string
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// unneededColumnNames contains names of columns, which mustn't be returned in the result.
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//
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// This list is consulted if needAllColumns=true
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unneededColumnNames []string
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// needAllColumns is set to true when all the columns except of unneededColumnNames must be returned in the result
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needAllColumns bool
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}
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type searchOptions struct {
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// Optional sorted list of tenantIDs for the search.
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// If it is empty, then the search is performed by streamIDs
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tenantIDs []TenantID
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// Optional sorted list of streamIDs for the search.
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// If it is empty, then the search is performed by tenantIDs
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streamIDs []streamID
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// minTimestamp is the minimum timestamp for the search
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minTimestamp int64
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// maxTimestamp is the maximum timestamp for the search
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maxTimestamp int64
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// filter is the filter to use for the search
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filter filter
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// neededColumnNames contains names of columns to return in the result
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neededColumnNames []string
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// unneededColumnNames contains names of columns, which mustn't be returned in the result.
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//
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// This list is consulted when needAllColumns=true.
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unneededColumnNames []string
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// needAllColumns is set to true when all the columns except of unneededColumnNames must be returned in the result
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needAllColumns bool
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}
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// RunQuery runs the given q and calls writeBlock for results.
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func (s *Storage) RunQuery(ctx context.Context, tenantIDs []TenantID, q *Query, writeBlock func(workerID uint, timestamps []int64, columns []BlockColumn)) error {
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neededColumnNames, unneededColumnNames := q.getNeededColumns()
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so := &genericSearchOptions{
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tenantIDs: tenantIDs,
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filter: q.f,
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neededColumnNames: neededColumnNames,
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unneededColumnNames: unneededColumnNames,
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needAllColumns: slices.Contains(neededColumnNames, "*"),
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}
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workersCount := cgroup.AvailableCPUs()
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pp := newDefaultPipeProcessor(func(workerID uint, br *blockResult) {
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brs := getBlockRows()
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csDst := brs.cs
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for _, c := range br.getColumns() {
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values := c.getValues(br)
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csDst = append(csDst, BlockColumn{
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Name: c.name,
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Values: values,
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})
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}
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writeBlock(workerID, br.timestamps, csDst)
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brs.cs = csDst
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putBlockRows(brs)
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})
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ppMain := pp
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stopCh := ctx.Done()
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cancels := make([]func(), len(q.pipes))
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pps := make([]pipeProcessor, len(q.pipes))
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for i := len(q.pipes) - 1; i >= 0; i-- {
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p := q.pipes[i]
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ctxChild, cancel := context.WithCancel(ctx)
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pp = p.newPipeProcessor(workersCount, stopCh, cancel, pp)
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stopCh = ctxChild.Done()
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ctx = ctxChild
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cancels[i] = cancel
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pps[i] = pp
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}
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s.search(workersCount, so, stopCh, pp.writeBlock)
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var errFlush error
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for i, pp := range pps {
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if err := pp.flush(); err != nil && errFlush == nil {
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errFlush = err
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}
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cancel := cancels[i]
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cancel()
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}
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if err := ppMain.flush(); err != nil && errFlush == nil {
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errFlush = err
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}
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return errFlush
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}
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type blockRows struct {
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cs []BlockColumn
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}
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func (brs *blockRows) reset() {
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cs := brs.cs
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for i := range cs {
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cs[i].reset()
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}
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brs.cs = cs[:0]
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}
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func getBlockRows() *blockRows {
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v := blockRowsPool.Get()
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if v == nil {
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return &blockRows{}
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}
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return v.(*blockRows)
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}
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func putBlockRows(brs *blockRows) {
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brs.reset()
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blockRowsPool.Put(brs)
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}
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var blockRowsPool sync.Pool
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// BlockColumn is a single column of a block of data
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type BlockColumn struct {
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// Name is the column name
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Name string
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// Values is column values
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Values []string
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}
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func (c *BlockColumn) reset() {
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c.Name = ""
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c.Values = nil
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}
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func getEmptyStrings(rowsCount int) []string {
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p := emptyStrings.Load()
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if p == nil {
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values := make([]string, rowsCount)
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emptyStrings.Store(&values)
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return values
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}
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values := *p
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return slicesutil.SetLength(values, rowsCount)
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}
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var emptyStrings atomic.Pointer[[]string]
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// The number of blocks to search at once by a single worker
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//
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// This number must be increased on systems with many CPU cores in order to amortize
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// the overhead for passing the blockSearchWork to worker goroutines.
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const blockSearchWorksPerBatch = 64
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// searchResultFunc must process sr.
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//
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// The callback is called at the worker with the given workerID.
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type searchResultFunc func(workerID uint, br *blockResult)
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// search searches for the matching rows according to so.
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//
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// It calls processBlockResult for each found matching block.
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func (s *Storage) search(workersCount int, so *genericSearchOptions, stopCh <-chan struct{}, processBlockResult searchResultFunc) {
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// Spin up workers
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var wgWorkers sync.WaitGroup
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workCh := make(chan []*blockSearchWork, workersCount)
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wgWorkers.Add(workersCount)
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for i := 0; i < workersCount; i++ {
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go func(workerID uint) {
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bs := getBlockSearch()
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for bsws := range workCh {
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for _, bsw := range bsws {
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select {
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case <-stopCh:
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// The search has been canceled. Just skip all the scheduled work in order to save CPU time.
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continue
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default:
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}
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bs.search(bsw)
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if len(bs.br.timestamps) > 0 {
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processBlockResult(workerID, &bs.br)
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}
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}
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}
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putBlockSearch(bs)
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wgWorkers.Done()
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}(uint(i))
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}
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// Obtain common time filter from so.filter
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ft, f := getCommonFilterTime(so.filter)
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// Select partitions according to the selected time range
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s.partitionsLock.Lock()
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ptws := s.partitions
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minDay := ft.minTimestamp / nsecPerDay
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n := sort.Search(len(ptws), func(i int) bool {
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return ptws[i].day >= minDay
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})
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ptws = ptws[n:]
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maxDay := ft.maxTimestamp / nsecPerDay
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n = sort.Search(len(ptws), func(i int) bool {
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return ptws[i].day > maxDay
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})
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ptws = ptws[:n]
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for _, ptw := range ptws {
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ptw.incRef()
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}
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s.partitionsLock.Unlock()
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// Obtain common filterStream from f
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var sf *StreamFilter
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sf, f = getCommonStreamFilter(f)
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// Schedule concurrent search across matching partitions.
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psfs := make([]partitionSearchFinalizer, len(ptws))
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var wgSearchers sync.WaitGroup
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for i, ptw := range ptws {
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partitionSearchConcurrencyLimitCh <- struct{}{}
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wgSearchers.Add(1)
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go func(idx int, pt *partition) {
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psfs[idx] = pt.search(ft, sf, f, so, workCh, stopCh)
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wgSearchers.Done()
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<-partitionSearchConcurrencyLimitCh
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}(i, ptw.pt)
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}
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wgSearchers.Wait()
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// Wait until workers finish their work
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close(workCh)
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wgWorkers.Wait()
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// Finalize partition search
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for _, psf := range psfs {
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psf()
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}
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// Decrement references to partitions
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for _, ptw := range ptws {
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ptw.decRef()
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}
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}
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// partitionSearchConcurrencyLimitCh limits the number of concurrent searches in partition.
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//
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// This is needed for limiting memory usage under high load.
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var partitionSearchConcurrencyLimitCh = make(chan struct{}, cgroup.AvailableCPUs())
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type partitionSearchFinalizer func()
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func (pt *partition) search(ft *filterTime, sf *StreamFilter, f filter, so *genericSearchOptions, workCh chan<- []*blockSearchWork, stopCh <-chan struct{}) partitionSearchFinalizer {
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select {
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case <-stopCh:
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// Do not spend CPU time on search, since it is already stopped.
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return func() {}
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default:
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}
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tenantIDs := so.tenantIDs
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var streamIDs []streamID
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if sf != nil {
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streamIDs = pt.idb.searchStreamIDs(tenantIDs, sf)
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tenantIDs = nil
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}
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if hasStreamFilters(f) {
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f = initStreamFilters(tenantIDs, pt.idb, f)
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}
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soInternal := &searchOptions{
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tenantIDs: tenantIDs,
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streamIDs: streamIDs,
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minTimestamp: ft.minTimestamp,
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maxTimestamp: ft.maxTimestamp,
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filter: f,
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neededColumnNames: so.neededColumnNames,
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unneededColumnNames: so.unneededColumnNames,
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needAllColumns: so.needAllColumns,
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}
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return pt.ddb.search(soInternal, workCh, stopCh)
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}
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func hasStreamFilters(f filter) bool {
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switch t := f.(type) {
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case *filterAnd:
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return hasStreamFiltersInList(t.filters)
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case *filterOr:
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return hasStreamFiltersInList(t.filters)
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case *filterNot:
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return hasStreamFilters(t.f)
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case *filterStream:
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return true
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default:
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return false
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}
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}
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func hasStreamFiltersInList(filters []filter) bool {
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for _, f := range filters {
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if hasStreamFilters(f) {
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return true
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}
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}
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return false
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}
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func initStreamFilters(tenantIDs []TenantID, idb *indexdb, f filter) filter {
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switch t := f.(type) {
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case *filterAnd:
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return &filterAnd{
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filters: initStreamFiltersList(tenantIDs, idb, t.filters),
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}
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case *filterOr:
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return &filterOr{
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filters: initStreamFiltersList(tenantIDs, idb, t.filters),
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}
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case *filterNot:
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return &filterNot{
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f: initStreamFilters(tenantIDs, idb, t.f),
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}
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case *filterStream:
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return &filterStream{
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f: t.f,
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tenantIDs: tenantIDs,
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idb: idb,
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}
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default:
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return t
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}
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}
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func initStreamFiltersList(tenantIDs []TenantID, idb *indexdb, filters []filter) []filter {
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result := make([]filter, len(filters))
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for i, f := range filters {
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result[i] = initStreamFilters(tenantIDs, idb, f)
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}
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return result
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}
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func (ddb *datadb) search(so *searchOptions, workCh chan<- []*blockSearchWork, stopCh <-chan struct{}) partitionSearchFinalizer {
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// Select parts with data for the given time range
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ddb.partsLock.Lock()
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pws := appendPartsInTimeRange(nil, ddb.bigParts, so.minTimestamp, so.maxTimestamp)
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pws = appendPartsInTimeRange(pws, ddb.smallParts, so.minTimestamp, so.maxTimestamp)
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pws = appendPartsInTimeRange(pws, ddb.inmemoryParts, so.minTimestamp, so.maxTimestamp)
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// Increase references to the searched parts, so they aren't deleted during search.
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// References to the searched parts must be decremented by calling the returned partitionSearchFinalizer.
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for _, pw := range pws {
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pw.incRef()
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}
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ddb.partsLock.Unlock()
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// Apply search to matching parts
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for _, pw := range pws {
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pw.p.search(so, workCh, stopCh)
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}
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return func() {
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for _, pw := range pws {
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pw.decRef()
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}
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}
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}
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func (p *part) search(so *searchOptions, workCh chan<- []*blockSearchWork, stopCh <-chan struct{}) {
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bhss := getBlockHeaders()
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if len(so.tenantIDs) > 0 {
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p.searchByTenantIDs(so, bhss, workCh, stopCh)
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} else {
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p.searchByStreamIDs(so, bhss, workCh, stopCh)
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}
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putBlockHeaders(bhss)
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}
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func getBlockHeaders() *blockHeaders {
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v := blockHeadersPool.Get()
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if v == nil {
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return &blockHeaders{}
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}
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return v.(*blockHeaders)
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}
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func putBlockHeaders(bhss *blockHeaders) {
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bhss.reset()
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blockHeadersPool.Put(bhss)
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}
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var blockHeadersPool sync.Pool
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type blockHeaders struct {
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bhs []blockHeader
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}
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func (bhss *blockHeaders) reset() {
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bhs := bhss.bhs
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for i := range bhs {
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bhs[i].reset()
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}
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bhss.bhs = bhs[:0]
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}
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func (p *part) searchByTenantIDs(so *searchOptions, bhss *blockHeaders, workCh chan<- []*blockSearchWork, stopCh <-chan struct{}) {
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// it is assumed that tenantIDs are sorted
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tenantIDs := so.tenantIDs
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bsws := make([]*blockSearchWork, 0, blockSearchWorksPerBatch)
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scheduleBlockSearch := func(bh *blockHeader) bool {
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// Do not use pool for blockSearchWork, since it is returned back to the pool
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// at another goroutine, which may run on another CPU core.
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// This means that it will be put into another per-CPU pool, which may result
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// in slowdown related to memory synchronization between CPU cores.
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// This slowdown is increased on systems with bigger number of CPU cores.
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bsw := newBlockSearchWork(p, so, bh)
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bsws = append(bsws, bsw)
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if len(bsws) < cap(bsws) {
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return true
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}
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select {
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case <-stopCh:
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return false
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case workCh <- bsws:
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bsws = make([]*blockSearchWork, 0, blockSearchWorksPerBatch)
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return true
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}
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}
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// it is assumed that ibhs are sorted
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ibhs := p.indexBlockHeaders
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for len(ibhs) > 0 && len(tenantIDs) > 0 {
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select {
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case <-stopCh:
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return
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default:
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}
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// locate tenantID equal or bigger than the tenantID in ibhs[0]
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tenantID := &tenantIDs[0]
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if tenantID.less(&ibhs[0].streamID.tenantID) {
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tenantID = &ibhs[0].streamID.tenantID
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n := sort.Search(len(tenantIDs), func(i int) bool {
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return !tenantIDs[i].less(tenantID)
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})
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if n == len(tenantIDs) {
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tenantIDs = nil
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break
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}
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tenantID = &tenantIDs[n]
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tenantIDs = tenantIDs[n:]
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}
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// locate indexBlockHeader with equal or bigger tenantID than the given tenantID
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n := 0
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if ibhs[0].streamID.tenantID.less(tenantID) {
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n = sort.Search(len(ibhs), func(i int) bool {
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return !ibhs[i].streamID.tenantID.less(tenantID)
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})
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// The end of ibhs[n-1] may contain blocks for the given tenantID, so move it backwards
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n--
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}
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ibh := &ibhs[n]
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ibhs = ibhs[n+1:]
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if so.minTimestamp > ibh.maxTimestamp || so.maxTimestamp < ibh.minTimestamp {
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// Skip the ibh, since it doesn't contain entries on the requested time range
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continue
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}
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bhss.bhs = ibh.mustReadBlockHeaders(bhss.bhs[:0], p)
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bhs := bhss.bhs
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for len(bhs) > 0 {
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// search for blocks with the given tenantID
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n = sort.Search(len(bhs), func(i int) bool {
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return !bhs[i].streamID.tenantID.less(tenantID)
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})
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bhs = bhs[n:]
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for len(bhs) > 0 && bhs[0].streamID.tenantID.equal(tenantID) {
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bh := &bhs[0]
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bhs = bhs[1:]
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th := &bh.timestampsHeader
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if so.minTimestamp > th.maxTimestamp || so.maxTimestamp < th.minTimestamp {
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continue
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}
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if !scheduleBlockSearch(bh) {
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return
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}
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}
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if len(bhs) == 0 {
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break
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}
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// search for the next tenantID, which can potentially match tenantID from bhs[0]
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tenantID = &bhs[0].streamID.tenantID
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n = sort.Search(len(tenantIDs), func(i int) bool {
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return !tenantIDs[i].less(tenantID)
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})
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if n == len(tenantIDs) {
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tenantIDs = nil
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break
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}
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tenantID = &tenantIDs[n]
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tenantIDs = tenantIDs[n:]
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}
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}
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// Flush the remaining work
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if len(bsws) > 0 {
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select {
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case <-stopCh:
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case workCh <- bsws:
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}
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}
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}
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func (p *part) searchByStreamIDs(so *searchOptions, bhss *blockHeaders, workCh chan<- []*blockSearchWork, stopCh <-chan struct{}) {
|
|
// it is assumed that streamIDs are sorted
|
|
streamIDs := so.streamIDs
|
|
|
|
bsws := make([]*blockSearchWork, 0, blockSearchWorksPerBatch)
|
|
scheduleBlockSearch := func(bh *blockHeader) bool {
|
|
// Do not use pool for blockSearchWork, since it is returned back to the pool
|
|
// at another goroutine, which may run on another CPU core.
|
|
// This means that it will be put into another per-CPU pool, which may result
|
|
// in slowdown related to memory synchronization between CPU cores.
|
|
// This slowdown is increased on systems with bigger number of CPU cores.
|
|
bsw := newBlockSearchWork(p, so, bh)
|
|
bsws = append(bsws, bsw)
|
|
if len(bsws) < cap(bsws) {
|
|
return true
|
|
}
|
|
select {
|
|
case <-stopCh:
|
|
return false
|
|
case workCh <- bsws:
|
|
bsws = make([]*blockSearchWork, 0, blockSearchWorksPerBatch)
|
|
return true
|
|
}
|
|
}
|
|
|
|
// it is assumed that ibhs are sorted
|
|
ibhs := p.indexBlockHeaders
|
|
|
|
for len(ibhs) > 0 && len(streamIDs) > 0 {
|
|
select {
|
|
case <-stopCh:
|
|
return
|
|
default:
|
|
}
|
|
|
|
// locate streamID equal or bigger than the streamID in ibhs[0]
|
|
streamID := &streamIDs[0]
|
|
if streamID.less(&ibhs[0].streamID) {
|
|
streamID = &ibhs[0].streamID
|
|
n := sort.Search(len(streamIDs), func(i int) bool {
|
|
return !streamIDs[i].less(streamID)
|
|
})
|
|
if n == len(streamIDs) {
|
|
streamIDs = nil
|
|
break
|
|
}
|
|
streamID = &streamIDs[n]
|
|
streamIDs = streamIDs[n:]
|
|
}
|
|
|
|
// locate indexBlockHeader with equal or bigger streamID than the given streamID
|
|
n := 0
|
|
if ibhs[0].streamID.less(streamID) {
|
|
n = sort.Search(len(ibhs), func(i int) bool {
|
|
return !ibhs[i].streamID.less(streamID)
|
|
})
|
|
// The end of ibhs[n-1] may contain blocks for the given streamID, so move it backwards.
|
|
n--
|
|
}
|
|
ibh := &ibhs[n]
|
|
ibhs = ibhs[n+1:]
|
|
|
|
if so.minTimestamp > ibh.maxTimestamp || so.maxTimestamp < ibh.minTimestamp {
|
|
// Skip the ibh, since it doesn't contain entries on the requested time range
|
|
continue
|
|
}
|
|
|
|
bhss.bhs = ibh.mustReadBlockHeaders(bhss.bhs[:0], p)
|
|
|
|
bhs := bhss.bhs
|
|
for len(bhs) > 0 {
|
|
// search for blocks with the given streamID
|
|
n = sort.Search(len(bhs), func(i int) bool {
|
|
return !bhs[i].streamID.less(streamID)
|
|
})
|
|
bhs = bhs[n:]
|
|
for len(bhs) > 0 && bhs[0].streamID.equal(streamID) {
|
|
bh := &bhs[0]
|
|
bhs = bhs[1:]
|
|
th := &bh.timestampsHeader
|
|
if so.minTimestamp > th.maxTimestamp || so.maxTimestamp < th.minTimestamp {
|
|
continue
|
|
}
|
|
if !scheduleBlockSearch(bh) {
|
|
return
|
|
}
|
|
}
|
|
if len(bhs) == 0 {
|
|
break
|
|
}
|
|
|
|
// search for the next streamID, which can potentially match streamID from bhs[0]
|
|
streamID = &bhs[0].streamID
|
|
n = sort.Search(len(streamIDs), func(i int) bool {
|
|
return !streamIDs[i].less(streamID)
|
|
})
|
|
if n == len(streamIDs) {
|
|
streamIDs = nil
|
|
break
|
|
}
|
|
streamID = &streamIDs[n]
|
|
streamIDs = streamIDs[n:]
|
|
}
|
|
}
|
|
|
|
// Flush the remaining work
|
|
if len(bsws) > 0 {
|
|
select {
|
|
case <-stopCh:
|
|
case workCh <- bsws:
|
|
}
|
|
}
|
|
}
|
|
|
|
func appendPartsInTimeRange(dst, src []*partWrapper, minTimestamp, maxTimestamp int64) []*partWrapper {
|
|
for _, pw := range src {
|
|
if maxTimestamp < pw.p.ph.MinTimestamp || minTimestamp > pw.p.ph.MaxTimestamp {
|
|
continue
|
|
}
|
|
dst = append(dst, pw)
|
|
}
|
|
return dst
|
|
}
|
|
|
|
func getCommonStreamFilter(f filter) (*StreamFilter, filter) {
|
|
switch t := f.(type) {
|
|
case *filterAnd:
|
|
filters := t.filters
|
|
for i, filter := range filters {
|
|
sf, ok := filter.(*filterStream)
|
|
if ok && !sf.f.isEmpty() {
|
|
// Remove sf from filters, since it doesn't filter out anything then.
|
|
fa := &filterAnd{
|
|
filters: append(filters[:i:i], filters[i+1:]...),
|
|
}
|
|
return sf.f, fa
|
|
}
|
|
}
|
|
case *filterStream:
|
|
return t.f, &filterNoop{}
|
|
}
|
|
return nil, f
|
|
}
|
|
|
|
func getCommonFilterTime(f filter) (*filterTime, filter) {
|
|
switch t := f.(type) {
|
|
case *filterAnd:
|
|
for _, filter := range t.filters {
|
|
ft, ok := filter.(*filterTime)
|
|
if ok {
|
|
// The ft must remain in t.filters order to properly filter out rows outside the selected time range
|
|
return ft, f
|
|
}
|
|
}
|
|
case *filterTime:
|
|
return t, f
|
|
}
|
|
return allFilterTime, f
|
|
}
|
|
|
|
var allFilterTime = &filterTime{
|
|
minTimestamp: math.MinInt64,
|
|
maxTimestamp: math.MaxInt64,
|
|
}
|