VictoriaMetrics/lib/logstorage/pipe_drop_empty_fields.go
Aliaksandr Valialkin 4599429f51
lib/logstorage: read timestamps column when it is really needed during query execution
Previously timestamps column was read unconditionally on every query.
This could significantly slow down queries, which do not need reading this column
like in https://github.com/VictoriaMetrics/VictoriaMetrics/issues/7070 .
2024-09-25 19:17:47 +02:00

228 lines
4.7 KiB
Go

package logstorage
import (
"fmt"
"unsafe"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/slicesutil"
)
// pipeDropEmptyFields processes '| drop_empty_fields ...' pipe.
//
// See https://docs.victoriametrics.com/victorialogs/logsql/#drop_empty_fields-pipe
type pipeDropEmptyFields struct {
}
func (pd *pipeDropEmptyFields) String() string {
return "drop_empty_fields"
}
func (pd *pipeDropEmptyFields) canLiveTail() bool {
return true
}
func (pd *pipeDropEmptyFields) optimize() {
// nothing to do
}
func (pd *pipeDropEmptyFields) hasFilterInWithQuery() bool {
return false
}
func (pd *pipeDropEmptyFields) initFilterInValues(_ map[string][]string, _ getFieldValuesFunc) (pipe, error) {
return pd, nil
}
func (pd *pipeDropEmptyFields) updateNeededFields(_, _ fieldsSet) {
// nothing to do
}
func (pd *pipeDropEmptyFields) newPipeProcessor(workersCount int, _ <-chan struct{}, _ func(), ppNext pipeProcessor) pipeProcessor {
return &pipeDropEmptyFieldsProcessor{
ppNext: ppNext,
shards: make([]pipeDropEmptyFieldsProcessorShard, workersCount),
}
}
type pipeDropEmptyFieldsProcessor struct {
ppNext pipeProcessor
shards []pipeDropEmptyFieldsProcessorShard
}
type pipeDropEmptyFieldsProcessorShard struct {
pipeDropEmptyFieldsProcessorShardNopad
// The padding prevents false sharing on widespread platforms with 128 mod (cache line size) = 0 .
_ [128 - unsafe.Sizeof(pipeDropEmptyFieldsProcessorShardNopad{})%128]byte
}
type pipeDropEmptyFieldsProcessorShardNopad struct {
columnValues [][]string
fields []Field
wctx pipeDropEmptyFieldsWriteContext
}
func (pdp *pipeDropEmptyFieldsProcessor) writeBlock(workerID uint, br *blockResult) {
if br.rowsLen == 0 {
return
}
shard := &pdp.shards[workerID]
cs := br.getColumns()
shard.columnValues = slicesutil.SetLength(shard.columnValues, len(cs))
columnValues := shard.columnValues
for i, c := range cs {
columnValues[i] = c.getValues(br)
}
if !hasEmptyValues(columnValues) {
// Fast path - just write br to ppNext, since it has no empty values.
pdp.ppNext.writeBlock(workerID, br)
return
}
// Slow path - drop fields with empty values
shard.wctx.init(workerID, pdp.ppNext)
fields := shard.fields
for rowIdx := 0; rowIdx < br.rowsLen; rowIdx++ {
fields = fields[:0]
for i, values := range columnValues {
v := values[rowIdx]
if v == "" {
continue
}
fields = append(fields, Field{
Name: cs[i].name,
Value: values[rowIdx],
})
}
shard.wctx.writeRow(fields)
}
shard.fields = fields
shard.wctx.flush()
}
func (pdp *pipeDropEmptyFieldsProcessor) flush() error {
return nil
}
type pipeDropEmptyFieldsWriteContext struct {
workerID uint
ppNext pipeProcessor
rcs []resultColumn
br blockResult
// rowsCount is the number of rows in the current block
rowsCount int
// valuesLen is the total length of values in the current block
valuesLen int
}
func (wctx *pipeDropEmptyFieldsWriteContext) reset() {
wctx.workerID = 0
wctx.ppNext = nil
rcs := wctx.rcs
for i := range rcs {
rcs[i].reset()
}
wctx.rcs = rcs[:0]
wctx.rowsCount = 0
wctx.valuesLen = 0
}
func (wctx *pipeDropEmptyFieldsWriteContext) init(workerID uint, ppNext pipeProcessor) {
wctx.reset()
wctx.workerID = workerID
wctx.ppNext = ppNext
}
func (wctx *pipeDropEmptyFieldsWriteContext) writeRow(fields []Field) {
if len(fields) == 0 {
// skip rows without non-empty fields
return
}
rcs := wctx.rcs
areEqualColumns := len(rcs) == len(fields)
if areEqualColumns {
for i, f := range fields {
if rcs[i].name != f.Name {
areEqualColumns = false
break
}
}
}
if !areEqualColumns {
// send the current block to ppNext and construct a block with new set of columns
wctx.flush()
rcs = wctx.rcs[:0]
for _, f := range fields {
rcs = appendResultColumnWithName(rcs, f.Name)
}
wctx.rcs = rcs
}
for i, f := range fields {
v := f.Value
rcs[i].addValue(v)
wctx.valuesLen += len(v)
}
wctx.rowsCount++
if wctx.valuesLen >= 1_000_000 {
wctx.flush()
}
}
func (wctx *pipeDropEmptyFieldsWriteContext) flush() {
rcs := wctx.rcs
wctx.valuesLen = 0
// Flush rcs to ppNext
br := &wctx.br
br.setResultColumns(rcs, wctx.rowsCount)
wctx.rowsCount = 0
wctx.ppNext.writeBlock(wctx.workerID, br)
br.reset()
for i := range rcs {
rcs[i].resetValues()
}
}
func parsePipeDropEmptyFields(lex *lexer) (*pipeDropEmptyFields, error) {
if !lex.isKeyword("drop_empty_fields") {
return nil, fmt.Errorf("unexpected token: %q; want %q", lex.token, "drop_empty_fields")
}
lex.nextToken()
pd := &pipeDropEmptyFields{}
return pd, nil
}
func hasEmptyValues(columnValues [][]string) bool {
for _, values := range columnValues {
for _, v := range values {
if v == "" {
return true
}
}
}
return false
}