mirror of
https://github.com/VictoriaMetrics/VictoriaMetrics.git
synced 2024-12-18 14:40:26 +01:00
246c339e3d
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 .
228 lines
4.7 KiB
Go
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
|
|
}
|