mirror of
https://github.com/VictoriaMetrics/VictoriaMetrics.git
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2023f017b1
Unpack the full columnsHeader block instead of unpacking meta-information per each individual column when the query, which selects all the columns, is executed. This improves performance when scanning logs with big number of fields.
2096 lines
51 KiB
Go
2096 lines
51 KiB
Go
package logstorage
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import (
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"math"
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"slices"
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"strconv"
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"strings"
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"sync/atomic"
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"time"
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"unsafe"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/bytesutil"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/decimal"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/encoding"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/fastnum"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/logger"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/slicesutil"
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)
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// blockResult holds results for a single block of log entries.
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//
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// It is expected that its contents is accessed only from a single goroutine at a time.
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type blockResult struct {
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// rowsLen is the number of rows in the given blockResult.
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rowsLen int
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// bs is the associated blockSearch for the given blockResult.
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//
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// bs is nil for the blockResult constructed by pipes.
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bs *blockSearch
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// bm is the associated bitmap for the given blockResult.
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//
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// bm is nil for the blockResult constructed by pipes.
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bm *bitmap
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// a holds all the bytes behind the requested column values in the block.
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a arena
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// valuesBuf holds all the requested column values in the block.
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valuesBuf []string
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// timestampsBuf contains cached timestamps for the selected log entries in the block.
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//
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// timestamps must be obtained via blockResult.getTimestamps() call.
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timestampsBuf []int64
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// csBuf contains requested columns.
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csBuf []blockResultColumn
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// csEmpty contains non-existing columns, which were referenced via getColumnByName()
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csEmpty []blockResultColumn
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// cs contains cached pointers to requested columns returned from getColumns() if csInitialized=true.
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cs []*blockResultColumn
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// csInitialized is set to true if cs is properly initialized and can be returned from getColumns().
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csInitialized bool
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fvecs []filteredValuesEncodedCreator
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svecs []searchValuesEncodedCreator
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}
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func (br *blockResult) reset() {
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br.rowsLen = 0
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br.cs = nil
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br.bm = nil
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br.a.reset()
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clear(br.valuesBuf)
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br.valuesBuf = br.valuesBuf[:0]
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br.timestampsBuf = br.timestampsBuf[:0]
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clear(br.csBuf)
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br.csBuf = br.csBuf[:0]
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clear(br.csEmpty)
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br.csEmpty = br.csEmpty[:0]
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clear(br.cs)
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br.cs = br.cs[:0]
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br.csInitialized = false
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clear(br.fvecs)
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br.fvecs = br.fvecs[:0]
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clear(br.svecs)
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br.svecs = br.svecs[:0]
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}
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// clone returns a clone of br, which owns its own data.
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func (br *blockResult) clone() *blockResult {
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brNew := &blockResult{}
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brNew.rowsLen = br.rowsLen
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// do not clone br.cs, since it may be updated at any time.
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// do not clone br.bm, since it may be updated at any time.
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cs := br.getColumns()
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// Pre-populate values in every column in order to properly calculate the needed backing buffer size below.
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for _, c := range cs {
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_ = c.getValues(br)
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}
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// Calculate the backing buffer size needed for cloning column values.
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bufLen := 0
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for _, c := range cs {
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bufLen += c.neededBackingBufLen()
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}
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brNew.a.preallocate(bufLen)
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valuesBufLen := 0
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for _, c := range cs {
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valuesBufLen += c.neededBackingValuesBufLen()
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}
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brNew.valuesBuf = make([]string, 0, valuesBufLen)
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srcTimestamps := br.getTimestamps()
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brNew.timestampsBuf = make([]int64, len(srcTimestamps))
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copy(brNew.timestampsBuf, srcTimestamps)
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brNew.checkTimestampsLen()
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csNew := make([]blockResultColumn, len(cs))
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for i, c := range cs {
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csNew[i] = c.clone(brNew)
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}
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brNew.csBuf = csNew
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// do not clone br.csEmpty - it will be populated by the caller via getColumnByName().
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// do not clone br.fvecs and br.svecs, since they may point to external data.
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return brNew
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}
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// initFromFilterAllColumns initializes br from brSrc by copying rows identified by set bits at bm.
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//
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// The br is valid until brSrc or bm is updated.
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func (br *blockResult) initFromFilterAllColumns(brSrc *blockResult, bm *bitmap) {
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br.reset()
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srcTimestamps := brSrc.getTimestamps()
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dstTimestamps := br.timestampsBuf[:0]
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bm.forEachSetBitReadonly(func(idx int) {
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dstTimestamps = append(dstTimestamps, srcTimestamps[idx])
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})
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br.timestampsBuf = dstTimestamps
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br.rowsLen = len(br.timestampsBuf)
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for _, cSrc := range brSrc.getColumns() {
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br.appendFilteredColumn(brSrc, cSrc, bm)
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}
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}
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// appendFilteredColumn adds cSrc with the given bm filter to br.
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//
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// the br is valid until brSrc, cSrc or bm is updated.
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func (br *blockResult) appendFilteredColumn(brSrc *blockResult, cSrc *blockResultColumn, bm *bitmap) {
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if br.rowsLen == 0 {
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return
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}
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cDst := blockResultColumn{
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name: cSrc.name,
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}
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if cSrc.isConst {
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cDst.isConst = true
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cDst.valuesEncoded = cSrc.valuesEncoded
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} else if cSrc.isTime {
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cDst.isTime = true
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} else {
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cDst.valueType = cSrc.valueType
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cDst.minValue = cSrc.minValue
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cDst.maxValue = cSrc.maxValue
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cDst.dictValues = cSrc.dictValues
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br.fvecs = append(br.fvecs, filteredValuesEncodedCreator{
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br: brSrc,
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c: cSrc,
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bm: bm,
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})
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cDst.valuesEncodedCreator = &br.fvecs[len(br.fvecs)-1]
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}
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br.csBuf = append(br.csBuf, cDst)
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br.csInitialized = false
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}
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type filteredValuesEncodedCreator struct {
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br *blockResult
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c *blockResultColumn
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bm *bitmap
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}
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func (fvec *filteredValuesEncodedCreator) newValuesEncoded(br *blockResult) []string {
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valuesEncodedSrc := fvec.c.getValuesEncoded(fvec.br)
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valuesBuf := br.valuesBuf
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valuesBufLen := len(valuesBuf)
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fvec.bm.forEachSetBitReadonly(func(idx int) {
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valuesBuf = append(valuesBuf, valuesEncodedSrc[idx])
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})
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br.valuesBuf = valuesBuf
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return valuesBuf[valuesBufLen:]
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}
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// cloneValues clones the given values into br and returns the cloned values.
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func (br *blockResult) cloneValues(values []string) []string {
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if values == nil {
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return nil
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}
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valuesBufLen := len(br.valuesBuf)
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for _, v := range values {
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br.addValue(v)
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}
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return br.valuesBuf[valuesBufLen:]
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}
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func (br *blockResult) addValue(v string) {
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valuesBuf := br.valuesBuf
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if len(valuesBuf) > 0 && v == valuesBuf[len(valuesBuf)-1] {
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v = valuesBuf[len(valuesBuf)-1]
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} else {
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v = br.a.copyString(v)
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}
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br.valuesBuf = append(br.valuesBuf, v)
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}
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// sizeBytes returns the size of br in bytes.
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func (br *blockResult) sizeBytes() int {
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n := int(unsafe.Sizeof(*br))
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n += br.a.sizeBytes()
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n += cap(br.valuesBuf) * int(unsafe.Sizeof(br.valuesBuf[0]))
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n += cap(br.timestampsBuf) * int(unsafe.Sizeof(br.timestampsBuf[0]))
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n += cap(br.csBuf) * int(unsafe.Sizeof(br.csBuf[0]))
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n += cap(br.cs) * int(unsafe.Sizeof(br.cs[0]))
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return n
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}
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// setResultColumns sets the given rcs as br columns.
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//
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// The br is valid only until rcs are modified.
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func (br *blockResult) setResultColumns(rcs []resultColumn, rowsLen int) {
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br.reset()
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br.rowsLen = rowsLen
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for i := range rcs {
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br.addResultColumn(&rcs[i])
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}
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}
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func (br *blockResult) addResultColumn(rc *resultColumn) {
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if len(rc.values) != br.rowsLen {
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logger.Panicf("BUG: column %q must contain %d rows, but it contains %d rows", rc.name, br.rowsLen, len(rc.values))
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}
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if areConstValues(rc.values) {
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// This optimization allows reducing memory usage after br cloning
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br.csBuf = append(br.csBuf, blockResultColumn{
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name: rc.name,
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isConst: true,
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valuesEncoded: rc.values[:1],
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})
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} else {
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br.csBuf = append(br.csBuf, blockResultColumn{
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name: rc.name,
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valueType: valueTypeString,
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valuesEncoded: rc.values,
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})
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}
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br.csInitialized = false
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}
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// initAllColumns initializes all the columns in br.
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func (br *blockResult) initAllColumns() {
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unneededColumnNames := br.bs.bsw.so.unneededColumnNames
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if !slices.Contains(unneededColumnNames, "_time") {
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// Add _time column
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br.addTimeColumn()
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}
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if !slices.Contains(unneededColumnNames, "_stream_id") {
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// Add _stream_id column
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br.addStreamIDColumn()
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}
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if !slices.Contains(unneededColumnNames, "_stream") {
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// Add _stream column
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if !br.addStreamColumn() {
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// Skip the current block, since the associated stream tags are missing
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br.reset()
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return
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}
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}
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if !slices.Contains(unneededColumnNames, "_msg") {
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// Add _msg column
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v := br.bs.getConstColumnValue("_msg")
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if v != "" {
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br.addConstColumn("_msg", v)
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} else if ch := br.bs.getColumnHeader("_msg"); ch != nil {
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br.addColumn(ch)
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} else {
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br.addConstColumn("_msg", "")
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}
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}
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// Add other const columns
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csh := br.bs.getColumnsHeader()
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for _, cc := range csh.constColumns {
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if cc.Name == "" {
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continue
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}
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if !slices.Contains(unneededColumnNames, cc.Name) {
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br.addConstColumn(cc.Name, cc.Value)
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}
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}
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// Add other non-const columns
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chs := csh.columnHeaders
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for i := range chs {
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ch := &chs[i]
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if ch.name == "" {
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continue
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}
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if !slices.Contains(unneededColumnNames, ch.name) {
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br.addColumn(ch)
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}
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}
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br.csInitFast()
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}
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// initRequestedColumns initialized only requested columns in br.
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func (br *blockResult) initRequestedColumns() {
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for _, columnName := range br.bs.bsw.so.neededColumnNames {
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switch columnName {
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case "_stream_id":
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br.addStreamIDColumn()
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case "_stream":
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if !br.addStreamColumn() {
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// Skip the current block, since the associated stream tags are missing.
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br.reset()
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return
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}
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case "_time":
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br.addTimeColumn()
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default:
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v := br.bs.getConstColumnValue(columnName)
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if v != "" {
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br.addConstColumn(columnName, v)
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} else if ch := br.bs.getColumnHeader(columnName); ch != nil {
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br.addColumn(ch)
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} else {
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br.addConstColumn(columnName, "")
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}
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}
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}
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br.csInitFast()
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}
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// mustInit initializes br with the given bs and bm.
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//
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// br is valid until bs or bm changes.
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func (br *blockResult) mustInit(bs *blockSearch, bm *bitmap) {
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br.reset()
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br.rowsLen = bm.onesCount()
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if br.rowsLen == 0 {
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return
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}
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br.bs = bs
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br.bm = bm
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}
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// intersectsTimeRange returns true if br timestamps intersect (minTimestamp .. maxTimestamp) time range.
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func (br *blockResult) intersectsTimeRange(minTimestamp, maxTimestamp int64) bool {
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return minTimestamp < br.getMaxTimestamp(minTimestamp) && maxTimestamp > br.getMinTimestamp(maxTimestamp)
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}
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func (br *blockResult) getMinTimestamp(minTimestamp int64) int64 {
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if br.bs != nil {
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bh := &br.bs.bsw.bh
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if bh.rowsCount == uint64(br.rowsLen) {
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return min(minTimestamp, bh.timestampsHeader.minTimestamp)
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}
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if minTimestamp <= bh.timestampsHeader.minTimestamp {
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return minTimestamp
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}
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}
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// Slow path - need to scan timestamps
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timestamps := br.getTimestamps()
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for _, timestamp := range timestamps {
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if timestamp < minTimestamp {
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minTimestamp = timestamp
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}
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}
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return minTimestamp
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}
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func (br *blockResult) getMaxTimestamp(maxTimestamp int64) int64 {
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if br.bs != nil {
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bh := &br.bs.bsw.bh
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if bh.rowsCount == uint64(br.rowsLen) {
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return max(maxTimestamp, bh.timestampsHeader.maxTimestamp)
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}
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if maxTimestamp >= bh.timestampsHeader.maxTimestamp {
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return maxTimestamp
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}
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}
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// Slow path - need to scan timestamps
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timestamps := br.getTimestamps()
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for i := len(timestamps) - 1; i >= 0; i-- {
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if timestamps[i] > maxTimestamp {
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maxTimestamp = timestamps[i]
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}
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}
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return maxTimestamp
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}
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func (br *blockResult) getTimestamps() []int64 {
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if br.rowsLen > 0 && len(br.timestampsBuf) == 0 {
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br.initTimestamps()
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}
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return br.timestampsBuf
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}
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func (br *blockResult) initTimestamps() {
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if br.bs == nil {
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br.timestampsBuf = fastnum.AppendInt64Zeros(br.timestampsBuf[:0], br.rowsLen)
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return
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}
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srcTimestamps := br.bs.getTimestamps()
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if br.bm.areAllBitsSet() {
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// Fast path - all the rows in the block are selected, so copy all the timestamps without any filtering.
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br.timestampsBuf = append(br.timestampsBuf[:0], srcTimestamps...)
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br.checkTimestampsLen()
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return
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}
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// Slow path - copy only the needed timestamps to br according to filter results.
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dstTimestamps := br.timestampsBuf[:0]
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br.bm.forEachSetBitReadonly(func(idx int) {
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ts := srcTimestamps[idx]
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dstTimestamps = append(dstTimestamps, ts)
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})
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br.timestampsBuf = dstTimestamps
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br.checkTimestampsLen()
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}
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func (br *blockResult) checkTimestampsLen() {
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if len(br.timestampsBuf) != br.rowsLen {
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logger.Panicf("BUG: unexpected number of timestamps; got %d; want %d", len(br.timestampsBuf), br.rowsLen)
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}
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}
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func (br *blockResult) newValuesEncodedFromColumnHeader(bs *blockSearch, bm *bitmap, ch *columnHeader) []string {
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valuesBufLen := len(br.valuesBuf)
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switch ch.valueType {
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case valueTypeString:
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visitValuesReadonly(bs, ch, bm, br.addValue)
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case valueTypeDict:
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visitValuesReadonly(bs, ch, bm, func(v string) {
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if len(v) != 1 {
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logger.Panicf("FATAL: %s: unexpected dict value size for column %q; got %d bytes; want 1 byte", bs.partPath(), ch.name, len(v))
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}
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dictIdx := v[0]
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if int(dictIdx) >= len(ch.valuesDict.values) {
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logger.Panicf("FATAL: %s: too big dict index for column %q: %d; should be smaller than %d", bs.partPath(), ch.name, dictIdx, len(ch.valuesDict.values))
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}
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br.addValue(v)
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})
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case valueTypeUint8:
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visitValuesReadonly(bs, ch, bm, func(v string) {
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if len(v) != 1 {
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logger.Panicf("FATAL: %s: unexpected size for uint8 column %q; got %d bytes; want 1 byte", bs.partPath(), ch.name, len(v))
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}
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br.addValue(v)
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})
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case valueTypeUint16:
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visitValuesReadonly(bs, ch, bm, func(v string) {
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if len(v) != 2 {
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logger.Panicf("FATAL: %s: unexpected size for uint16 column %q; got %d bytes; want 2 bytes", bs.partPath(), ch.name, len(v))
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}
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br.addValue(v)
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})
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case valueTypeUint32:
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visitValuesReadonly(bs, ch, bm, func(v string) {
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if len(v) != 4 {
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logger.Panicf("FATAL: %s: unexpected size for uint32 column %q; got %d bytes; want 4 bytes", bs.partPath(), ch.name, len(v))
|
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}
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br.addValue(v)
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})
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case valueTypeUint64:
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visitValuesReadonly(bs, ch, bm, func(v string) {
|
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if len(v) != 8 {
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logger.Panicf("FATAL: %s: unexpected size for uint64 column %q; got %d bytes; want 8 bytes", bs.partPath(), ch.name, len(v))
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}
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br.addValue(v)
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})
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case valueTypeFloat64:
|
|
visitValuesReadonly(bs, ch, bm, func(v string) {
|
|
if len(v) != 8 {
|
|
logger.Panicf("FATAL: %s: unexpected size for float64 column %q; got %d bytes; want 8 bytes", bs.partPath(), ch.name, len(v))
|
|
}
|
|
br.addValue(v)
|
|
})
|
|
case valueTypeIPv4:
|
|
visitValuesReadonly(bs, ch, bm, func(v string) {
|
|
if len(v) != 4 {
|
|
logger.Panicf("FATAL: %s: unexpected size for ipv4 column %q; got %d bytes; want 4 bytes", bs.partPath(), ch.name, len(v))
|
|
}
|
|
br.addValue(v)
|
|
})
|
|
case valueTypeTimestampISO8601:
|
|
visitValuesReadonly(bs, ch, bm, func(v string) {
|
|
if len(v) != 8 {
|
|
logger.Panicf("FATAL: %s: unexpected size for timestmap column %q; got %d bytes; want 8 bytes", bs.partPath(), ch.name, len(v))
|
|
}
|
|
br.addValue(v)
|
|
})
|
|
default:
|
|
logger.Panicf("FATAL: %s: unknown valueType=%d for column %q", bs.partPath(), ch.valueType, ch.name)
|
|
}
|
|
|
|
return br.valuesBuf[valuesBufLen:]
|
|
}
|
|
|
|
// addColumn adds column for the given ch to br.
|
|
//
|
|
// The added column is valid until ch is changed.
|
|
func (br *blockResult) addColumn(ch *columnHeader) {
|
|
br.csBuf = append(br.csBuf, blockResultColumn{
|
|
name: getCanonicalColumnName(ch.name),
|
|
valueType: ch.valueType,
|
|
minValue: ch.minValue,
|
|
maxValue: ch.maxValue,
|
|
dictValues: ch.valuesDict.values,
|
|
})
|
|
c := &br.csBuf[len(br.csBuf)-1]
|
|
|
|
br.svecs = append(br.svecs, searchValuesEncodedCreator{
|
|
bs: br.bs,
|
|
bm: br.bm,
|
|
ch: ch,
|
|
})
|
|
c.valuesEncodedCreator = &br.svecs[len(br.svecs)-1]
|
|
br.csInitialized = false
|
|
}
|
|
|
|
type searchValuesEncodedCreator struct {
|
|
bs *blockSearch
|
|
bm *bitmap
|
|
ch *columnHeader
|
|
}
|
|
|
|
func (svec *searchValuesEncodedCreator) newValuesEncoded(br *blockResult) []string {
|
|
return br.newValuesEncodedFromColumnHeader(svec.bs, svec.bm, svec.ch)
|
|
}
|
|
|
|
func (br *blockResult) addTimeColumn() {
|
|
br.csBuf = append(br.csBuf, blockResultColumn{
|
|
name: "_time",
|
|
isTime: true,
|
|
})
|
|
br.csInitialized = false
|
|
}
|
|
|
|
func (br *blockResult) addStreamIDColumn() {
|
|
bb := bbPool.Get()
|
|
bb.B = br.bs.bsw.bh.streamID.marshalString(bb.B)
|
|
br.addConstColumn("_stream_id", bytesutil.ToUnsafeString(bb.B))
|
|
bbPool.Put(bb)
|
|
}
|
|
|
|
func (br *blockResult) addStreamColumn() bool {
|
|
streamStr := br.bs.getStreamStr()
|
|
if streamStr == "" {
|
|
return false
|
|
}
|
|
br.addConstColumn("_stream", streamStr)
|
|
return true
|
|
}
|
|
|
|
func (br *blockResult) addConstColumn(name, value string) {
|
|
nameCopy := br.a.copyString(name)
|
|
|
|
valuesBufLen := len(br.valuesBuf)
|
|
br.addValue(value)
|
|
valuesEncoded := br.valuesBuf[valuesBufLen:]
|
|
|
|
br.csBuf = append(br.csBuf, blockResultColumn{
|
|
name: nameCopy,
|
|
isConst: true,
|
|
valuesEncoded: valuesEncoded,
|
|
})
|
|
br.csInitialized = false
|
|
}
|
|
|
|
func (br *blockResult) newValuesBucketedForColumn(c *blockResultColumn, bf *byStatsField) []string {
|
|
if c.isConst {
|
|
v := c.valuesEncoded[0]
|
|
return br.getBucketedConstValues(v, bf)
|
|
}
|
|
if c.isTime {
|
|
return br.getBucketedTimestampValues(bf)
|
|
}
|
|
|
|
valuesEncoded := c.getValuesEncoded(br)
|
|
|
|
switch c.valueType {
|
|
case valueTypeString:
|
|
return br.getBucketedStringValues(valuesEncoded, bf)
|
|
case valueTypeDict:
|
|
return br.getBucketedDictValues(valuesEncoded, c.dictValues, bf)
|
|
case valueTypeUint8:
|
|
return br.getBucketedUint8Values(valuesEncoded, bf)
|
|
case valueTypeUint16:
|
|
return br.getBucketedUint16Values(valuesEncoded, bf)
|
|
case valueTypeUint32:
|
|
return br.getBucketedUint32Values(valuesEncoded, bf)
|
|
case valueTypeUint64:
|
|
return br.getBucketedUint64Values(valuesEncoded, bf)
|
|
case valueTypeFloat64:
|
|
return br.getBucketedFloat64Values(valuesEncoded, bf)
|
|
case valueTypeIPv4:
|
|
return br.getBucketedIPv4Values(valuesEncoded, bf)
|
|
case valueTypeTimestampISO8601:
|
|
return br.getBucketedTimestampISO8601Values(valuesEncoded, bf)
|
|
default:
|
|
logger.Panicf("BUG: unknown valueType=%d", c.valueType)
|
|
return nil
|
|
}
|
|
}
|
|
|
|
func (br *blockResult) getBucketedConstValues(v string, bf *byStatsField) []string {
|
|
if v == "" {
|
|
// Fast path - return a slice of empty strings without constructing the slice.
|
|
return getEmptyStrings(br.rowsLen)
|
|
}
|
|
|
|
// Slower path - construct slice of identical values with the length equal to br.rowsLen
|
|
|
|
valuesBuf := br.valuesBuf
|
|
valuesBufLen := len(valuesBuf)
|
|
|
|
v = br.getBucketedValue(v, bf)
|
|
for i := 0; i < br.rowsLen; i++ {
|
|
valuesBuf = append(valuesBuf, v)
|
|
}
|
|
|
|
br.valuesBuf = valuesBuf
|
|
|
|
return valuesBuf[valuesBufLen:]
|
|
}
|
|
|
|
func (br *blockResult) getBucketedTimestampValues(bf *byStatsField) []string {
|
|
buf := br.a.b
|
|
valuesBuf := br.valuesBuf
|
|
valuesBufLen := len(valuesBuf)
|
|
|
|
timestamps := br.getTimestamps()
|
|
var s string
|
|
|
|
if !bf.hasBucketConfig() {
|
|
for i := range timestamps {
|
|
if i > 0 && timestamps[i-1] == timestamps[i] {
|
|
valuesBuf = append(valuesBuf, s)
|
|
continue
|
|
}
|
|
|
|
bufLen := len(buf)
|
|
buf = marshalTimestampRFC3339NanoString(buf, timestamps[i])
|
|
s = bytesutil.ToUnsafeString(buf[bufLen:])
|
|
valuesBuf = append(valuesBuf, s)
|
|
}
|
|
} else {
|
|
bucketSizeInt := int64(bf.bucketSize)
|
|
if bucketSizeInt <= 0 {
|
|
bucketSizeInt = 1
|
|
}
|
|
bucketOffsetInt := int64(bf.bucketOffset)
|
|
|
|
timestampPrev := int64(0)
|
|
for i := range timestamps {
|
|
if i > 0 && timestamps[i-1] == timestamps[i] {
|
|
valuesBuf = append(valuesBuf, s)
|
|
continue
|
|
}
|
|
|
|
timestamp := timestamps[i]
|
|
timestamp -= bucketOffsetInt
|
|
if bf.bucketSizeStr == "month" {
|
|
timestamp = truncateTimestampToMonth(timestamp)
|
|
} else if bf.bucketSizeStr == "year" {
|
|
timestamp = truncateTimestampToYear(timestamp)
|
|
} else {
|
|
timestamp -= timestamp % bucketSizeInt
|
|
}
|
|
timestamp += bucketOffsetInt
|
|
|
|
if i > 0 && timestampPrev == timestamp {
|
|
valuesBuf = append(valuesBuf, s)
|
|
continue
|
|
}
|
|
timestampPrev = timestamp
|
|
|
|
bufLen := len(buf)
|
|
buf = marshalTimestampRFC3339NanoString(buf, timestamp)
|
|
s = bytesutil.ToUnsafeString(buf[bufLen:])
|
|
valuesBuf = append(valuesBuf, s)
|
|
}
|
|
}
|
|
|
|
br.a.b = buf
|
|
br.valuesBuf = valuesBuf
|
|
|
|
return valuesBuf[valuesBufLen:]
|
|
}
|
|
|
|
func (br *blockResult) getBucketedStringValues(values []string, bf *byStatsField) []string {
|
|
if !bf.hasBucketConfig() {
|
|
return values
|
|
}
|
|
|
|
valuesBuf := br.valuesBuf
|
|
valuesBufLen := len(valuesBuf)
|
|
|
|
var s string
|
|
for i := range values {
|
|
if i > 0 && values[i-1] == values[i] {
|
|
valuesBuf = append(valuesBuf, s)
|
|
continue
|
|
}
|
|
|
|
s = br.getBucketedValue(values[i], bf)
|
|
valuesBuf = append(valuesBuf, s)
|
|
}
|
|
|
|
br.valuesBuf = valuesBuf
|
|
|
|
return valuesBuf[valuesBufLen:]
|
|
}
|
|
|
|
func (br *blockResult) getBucketedDictValues(valuesEncoded, dictValues []string, bf *byStatsField) []string {
|
|
valuesBuf := br.valuesBuf
|
|
valuesBufLen := len(valuesBuf)
|
|
|
|
dictValues = br.getBucketedStringValues(dictValues, bf)
|
|
for _, v := range valuesEncoded {
|
|
dictIdx := v[0]
|
|
valuesBuf = append(valuesBuf, dictValues[dictIdx])
|
|
}
|
|
|
|
br.valuesBuf = valuesBuf
|
|
|
|
return valuesBuf[valuesBufLen:]
|
|
}
|
|
|
|
func (br *blockResult) getBucketedUint8Values(valuesEncoded []string, bf *byStatsField) []string {
|
|
buf := br.a.b
|
|
valuesBuf := br.valuesBuf
|
|
valuesBufLen := len(valuesBuf)
|
|
|
|
var s string
|
|
|
|
if !bf.hasBucketConfig() {
|
|
for i, v := range valuesEncoded {
|
|
if i > 0 && valuesEncoded[i-1] == valuesEncoded[i] {
|
|
valuesBuf = append(valuesBuf, s)
|
|
continue
|
|
}
|
|
|
|
n := unmarshalUint8(v)
|
|
bufLen := len(buf)
|
|
buf = marshalUint8String(buf, n)
|
|
s = bytesutil.ToUnsafeString(buf[bufLen:])
|
|
valuesBuf = append(valuesBuf, s)
|
|
}
|
|
} else {
|
|
bucketSizeInt := uint64(bf.bucketSize)
|
|
if bucketSizeInt <= 0 {
|
|
bucketSizeInt = 1
|
|
}
|
|
bucketOffsetInt := uint64(int64(bf.bucketOffset))
|
|
|
|
nPrev := uint64(0)
|
|
for i, v := range valuesEncoded {
|
|
if i > 0 && valuesEncoded[i-1] == valuesEncoded[i] {
|
|
valuesBuf = append(valuesBuf, s)
|
|
continue
|
|
}
|
|
|
|
n := uint64(unmarshalUint8(v))
|
|
n -= bucketOffsetInt
|
|
n -= n % bucketSizeInt
|
|
n += bucketOffsetInt
|
|
|
|
if i > 0 && nPrev == n {
|
|
valuesBuf = append(valuesBuf, s)
|
|
continue
|
|
}
|
|
nPrev = n
|
|
|
|
bufLen := len(buf)
|
|
buf = marshalUint64String(buf, n)
|
|
s = bytesutil.ToUnsafeString(buf[bufLen:])
|
|
valuesBuf = append(valuesBuf, s)
|
|
}
|
|
}
|
|
|
|
br.valuesBuf = valuesBuf
|
|
br.a.b = buf
|
|
|
|
return br.valuesBuf[valuesBufLen:]
|
|
}
|
|
|
|
func (br *blockResult) getBucketedUint16Values(valuesEncoded []string, bf *byStatsField) []string {
|
|
buf := br.a.b
|
|
valuesBuf := br.valuesBuf
|
|
valuesBufLen := len(valuesBuf)
|
|
|
|
var s string
|
|
|
|
if !bf.hasBucketConfig() {
|
|
for i, v := range valuesEncoded {
|
|
if i > 0 && valuesEncoded[i-1] == valuesEncoded[i] {
|
|
valuesBuf = append(valuesBuf, s)
|
|
continue
|
|
}
|
|
|
|
n := unmarshalUint16(v)
|
|
bufLen := len(buf)
|
|
buf = marshalUint16String(buf, n)
|
|
s = bytesutil.ToUnsafeString(buf[bufLen:])
|
|
valuesBuf = append(valuesBuf, s)
|
|
}
|
|
} else {
|
|
bucketSizeInt := uint64(bf.bucketSize)
|
|
if bucketSizeInt <= 0 {
|
|
bucketSizeInt = 1
|
|
}
|
|
bucketOffsetInt := uint64(int64(bf.bucketOffset))
|
|
|
|
nPrev := uint64(0)
|
|
for i, v := range valuesEncoded {
|
|
if i > 0 && valuesEncoded[i-1] == valuesEncoded[i] {
|
|
valuesBuf = append(valuesBuf, s)
|
|
continue
|
|
}
|
|
|
|
n := uint64(unmarshalUint16(v))
|
|
n -= bucketOffsetInt
|
|
n -= n % bucketSizeInt
|
|
n += bucketOffsetInt
|
|
|
|
if i > 0 && nPrev == n {
|
|
valuesBuf = append(valuesBuf, s)
|
|
continue
|
|
}
|
|
nPrev = n
|
|
|
|
bufLen := len(buf)
|
|
buf = marshalUint64String(buf, n)
|
|
s = bytesutil.ToUnsafeString(buf[bufLen:])
|
|
valuesBuf = append(valuesBuf, s)
|
|
}
|
|
}
|
|
|
|
br.valuesBuf = valuesBuf
|
|
br.a.b = buf
|
|
|
|
return br.valuesBuf[valuesBufLen:]
|
|
}
|
|
|
|
func (br *blockResult) getBucketedUint32Values(valuesEncoded []string, bf *byStatsField) []string {
|
|
buf := br.a.b
|
|
valuesBuf := br.valuesBuf
|
|
valuesBufLen := len(valuesBuf)
|
|
|
|
var s string
|
|
|
|
if !bf.hasBucketConfig() {
|
|
for i, v := range valuesEncoded {
|
|
if i > 0 && valuesEncoded[i-1] == valuesEncoded[i] {
|
|
valuesBuf = append(valuesBuf, s)
|
|
continue
|
|
}
|
|
|
|
n := unmarshalUint32(v)
|
|
bufLen := len(buf)
|
|
buf = marshalUint32String(buf, n)
|
|
s = bytesutil.ToUnsafeString(buf[bufLen:])
|
|
valuesBuf = append(valuesBuf, s)
|
|
}
|
|
} else {
|
|
bucketSizeInt := uint64(bf.bucketSize)
|
|
if bucketSizeInt <= 0 {
|
|
bucketSizeInt = 1
|
|
}
|
|
bucketOffsetInt := uint64(int64(bf.bucketOffset))
|
|
|
|
nPrev := uint64(0)
|
|
for i, v := range valuesEncoded {
|
|
if i > 0 && valuesEncoded[i-1] == valuesEncoded[i] {
|
|
valuesBuf = append(valuesBuf, s)
|
|
continue
|
|
}
|
|
|
|
n := uint64(unmarshalUint32(v))
|
|
n -= bucketOffsetInt
|
|
n -= n % bucketSizeInt
|
|
n += bucketOffsetInt
|
|
|
|
if i > 0 && nPrev == n {
|
|
valuesBuf = append(valuesBuf, s)
|
|
continue
|
|
}
|
|
nPrev = n
|
|
|
|
bufLen := len(buf)
|
|
buf = marshalUint64String(buf, n)
|
|
s = bytesutil.ToUnsafeString(buf[bufLen:])
|
|
valuesBuf = append(valuesBuf, s)
|
|
}
|
|
}
|
|
|
|
br.valuesBuf = valuesBuf
|
|
br.a.b = buf
|
|
|
|
return br.valuesBuf[valuesBufLen:]
|
|
}
|
|
|
|
func (br *blockResult) getBucketedUint64Values(valuesEncoded []string, bf *byStatsField) []string {
|
|
buf := br.a.b
|
|
valuesBuf := br.valuesBuf
|
|
valuesBufLen := len(valuesBuf)
|
|
|
|
var s string
|
|
|
|
if !bf.hasBucketConfig() {
|
|
for i, v := range valuesEncoded {
|
|
if i > 0 && valuesEncoded[i-1] == valuesEncoded[i] {
|
|
valuesBuf = append(valuesBuf, s)
|
|
continue
|
|
}
|
|
|
|
n := unmarshalUint64(v)
|
|
bufLen := len(buf)
|
|
buf = marshalUint64String(buf, n)
|
|
s = bytesutil.ToUnsafeString(buf[bufLen:])
|
|
valuesBuf = append(valuesBuf, s)
|
|
}
|
|
} else {
|
|
bucketSizeInt := uint64(bf.bucketSize)
|
|
if bucketSizeInt <= 0 {
|
|
bucketSizeInt = 1
|
|
}
|
|
bucketOffsetInt := uint64(int64(bf.bucketOffset))
|
|
|
|
nPrev := uint64(0)
|
|
for i, v := range valuesEncoded {
|
|
if i > 0 && valuesEncoded[i-1] == valuesEncoded[i] {
|
|
valuesBuf = append(valuesBuf, s)
|
|
continue
|
|
}
|
|
|
|
n := unmarshalUint64(v)
|
|
n -= bucketOffsetInt
|
|
n -= n % bucketSizeInt
|
|
n += bucketOffsetInt
|
|
|
|
if i > 0 && nPrev == n {
|
|
valuesBuf = append(valuesBuf, s)
|
|
continue
|
|
}
|
|
nPrev = n
|
|
|
|
bufLen := len(buf)
|
|
buf = marshalUint64String(buf, n)
|
|
s = bytesutil.ToUnsafeString(buf[bufLen:])
|
|
valuesBuf = append(valuesBuf, s)
|
|
}
|
|
}
|
|
|
|
br.valuesBuf = valuesBuf
|
|
br.a.b = buf
|
|
|
|
return br.valuesBuf[valuesBufLen:]
|
|
}
|
|
|
|
func (br *blockResult) getBucketedFloat64Values(valuesEncoded []string, bf *byStatsField) []string {
|
|
buf := br.a.b
|
|
valuesBuf := br.valuesBuf
|
|
valuesBufLen := len(valuesBuf)
|
|
|
|
var s string
|
|
|
|
if !bf.hasBucketConfig() {
|
|
for i, v := range valuesEncoded {
|
|
if i > 0 && valuesEncoded[i-1] == valuesEncoded[i] {
|
|
valuesBuf = append(valuesBuf, s)
|
|
continue
|
|
}
|
|
|
|
f := unmarshalFloat64(v)
|
|
|
|
bufLen := len(buf)
|
|
buf = marshalFloat64String(buf, f)
|
|
s = bytesutil.ToUnsafeString(buf[bufLen:])
|
|
valuesBuf = append(valuesBuf, s)
|
|
}
|
|
} else {
|
|
bucketSize := bf.bucketSize
|
|
if bucketSize <= 0 {
|
|
bucketSize = 1
|
|
}
|
|
|
|
_, e := decimal.FromFloat(bucketSize)
|
|
p10 := math.Pow10(int(-e))
|
|
bucketSizeP10 := int64(bucketSize * p10)
|
|
|
|
fPrev := float64(0)
|
|
for i, v := range valuesEncoded {
|
|
if i > 0 && valuesEncoded[i-1] == valuesEncoded[i] {
|
|
valuesBuf = append(valuesBuf, s)
|
|
continue
|
|
}
|
|
|
|
f := unmarshalFloat64(v)
|
|
|
|
f -= bf.bucketOffset
|
|
|
|
// emulate f % bucketSize for float64 values
|
|
fP10 := int64(f * p10)
|
|
fP10 -= fP10 % bucketSizeP10
|
|
f = float64(fP10) / p10
|
|
|
|
f += bf.bucketOffset
|
|
|
|
if fPrev == f {
|
|
valuesBuf = append(valuesBuf, s)
|
|
continue
|
|
}
|
|
fPrev = f
|
|
|
|
bufLen := len(buf)
|
|
buf = marshalFloat64String(buf, f)
|
|
s = bytesutil.ToUnsafeString(buf[bufLen:])
|
|
valuesBuf = append(valuesBuf, s)
|
|
}
|
|
}
|
|
|
|
br.valuesBuf = valuesBuf
|
|
br.a.b = buf
|
|
|
|
return br.valuesBuf[valuesBufLen:]
|
|
}
|
|
|
|
func (br *blockResult) getBucketedIPv4Values(valuesEncoded []string, bf *byStatsField) []string {
|
|
buf := br.a.b
|
|
valuesBuf := br.valuesBuf
|
|
valuesBufLen := len(valuesBuf)
|
|
|
|
var s string
|
|
|
|
if !bf.hasBucketConfig() {
|
|
for i, v := range valuesEncoded {
|
|
if i > 0 && valuesEncoded[i-1] == valuesEncoded[i] {
|
|
valuesBuf = append(valuesBuf, s)
|
|
continue
|
|
}
|
|
|
|
ip := unmarshalIPv4(v)
|
|
bufLen := len(buf)
|
|
buf = marshalIPv4String(buf, ip)
|
|
s = bytesutil.ToUnsafeString(buf[bufLen:])
|
|
valuesBuf = append(valuesBuf, s)
|
|
}
|
|
} else {
|
|
bucketSizeInt := uint32(bf.bucketSize)
|
|
if bucketSizeInt <= 0 {
|
|
bucketSizeInt = 1
|
|
}
|
|
bucketOffsetInt := uint32(int32(bf.bucketOffset))
|
|
|
|
nPrev := uint32(0)
|
|
for i, v := range valuesEncoded {
|
|
if i > 0 && valuesEncoded[i-1] == valuesEncoded[i] {
|
|
valuesBuf = append(valuesBuf, s)
|
|
continue
|
|
}
|
|
|
|
n := unmarshalIPv4(v)
|
|
n -= bucketOffsetInt
|
|
n -= n % bucketSizeInt
|
|
n += bucketOffsetInt
|
|
|
|
if i > 0 && nPrev == n {
|
|
valuesBuf = append(valuesBuf, s)
|
|
continue
|
|
}
|
|
nPrev = n
|
|
|
|
bufLen := len(buf)
|
|
buf = marshalIPv4String(buf, n)
|
|
s = bytesutil.ToUnsafeString(buf[bufLen:])
|
|
valuesBuf = append(valuesBuf, s)
|
|
}
|
|
}
|
|
|
|
br.valuesBuf = valuesBuf
|
|
br.a.b = buf
|
|
|
|
return valuesBuf[valuesBufLen:]
|
|
}
|
|
|
|
func (br *blockResult) getBucketedTimestampISO8601Values(valuesEncoded []string, bf *byStatsField) []string {
|
|
buf := br.a.b
|
|
valuesBuf := br.valuesBuf
|
|
valuesBufLen := len(valuesBuf)
|
|
|
|
var s string
|
|
|
|
if !bf.hasBucketConfig() {
|
|
for i, v := range valuesEncoded {
|
|
if i > 0 && valuesEncoded[i-1] == valuesEncoded[i] {
|
|
valuesBuf = append(valuesBuf, s)
|
|
continue
|
|
}
|
|
|
|
n := unmarshalTimestampISO8601(v)
|
|
|
|
bufLen := len(buf)
|
|
buf = marshalTimestampISO8601String(buf, n)
|
|
s = bytesutil.ToUnsafeString(buf[bufLen:])
|
|
valuesBuf = append(valuesBuf, s)
|
|
}
|
|
} else {
|
|
bucketSizeInt := int64(bf.bucketSize)
|
|
if bucketSizeInt <= 0 {
|
|
bucketSizeInt = 1
|
|
}
|
|
bucketOffsetInt := int64(bf.bucketOffset)
|
|
|
|
timestampPrev := int64(0)
|
|
bb := bbPool.Get()
|
|
for i, v := range valuesEncoded {
|
|
if i > 0 && valuesEncoded[i-1] == valuesEncoded[i] {
|
|
valuesBuf = append(valuesBuf, s)
|
|
continue
|
|
}
|
|
|
|
timestamp := unmarshalTimestampISO8601(v)
|
|
timestamp -= bucketOffsetInt
|
|
if bf.bucketSizeStr == "month" {
|
|
timestamp = truncateTimestampToMonth(timestamp)
|
|
} else if bf.bucketSizeStr == "year" {
|
|
timestamp = truncateTimestampToYear(timestamp)
|
|
} else {
|
|
timestamp -= timestamp % bucketSizeInt
|
|
}
|
|
timestamp -= timestamp % bucketSizeInt
|
|
timestamp += bucketOffsetInt
|
|
|
|
if timestampPrev == timestamp {
|
|
valuesBuf = append(valuesBuf, s)
|
|
continue
|
|
}
|
|
timestampPrev = timestamp
|
|
|
|
bufLen := len(buf)
|
|
buf = marshalTimestampISO8601String(buf, timestamp)
|
|
s = bytesutil.ToUnsafeString(buf[bufLen:])
|
|
valuesBuf = append(valuesBuf, s)
|
|
}
|
|
bbPool.Put(bb)
|
|
}
|
|
|
|
br.valuesBuf = valuesBuf
|
|
br.a.b = buf
|
|
|
|
return valuesBuf[valuesBufLen:]
|
|
}
|
|
|
|
// getBucketedValue returns bucketed s according to the given bf
|
|
func (br *blockResult) getBucketedValue(s string, bf *byStatsField) string {
|
|
if !bf.hasBucketConfig() {
|
|
return s
|
|
}
|
|
if len(s) == 0 {
|
|
return s
|
|
}
|
|
|
|
c := s[0]
|
|
if (c < '0' || c > '9') && c != '-' {
|
|
// Fast path - the value cannot be bucketed, since it starts with unexpected chars.
|
|
return s
|
|
}
|
|
|
|
if f, ok := tryParseFloat64(s); ok {
|
|
bucketSize := bf.bucketSize
|
|
if bucketSize <= 0 {
|
|
bucketSize = 1
|
|
}
|
|
|
|
f -= bf.bucketOffset
|
|
|
|
// emulate f % bucketSize for float64 values
|
|
_, e := decimal.FromFloat(bucketSize)
|
|
p10 := math.Pow10(int(-e))
|
|
fP10 := int64(f * p10)
|
|
fP10 -= fP10 % int64(bucketSize*p10)
|
|
f = float64(fP10) / p10
|
|
|
|
f += bf.bucketOffset
|
|
|
|
buf := br.a.b
|
|
bufLen := len(buf)
|
|
buf = marshalFloat64String(buf, f)
|
|
br.a.b = buf
|
|
return bytesutil.ToUnsafeString(buf[bufLen:])
|
|
}
|
|
|
|
// There is no need in calling tryParseTimestampISO8601 here, since TryParseTimestampRFC3339Nano
|
|
// should successfully parse ISO8601 timestamps.
|
|
if timestamp, ok := TryParseTimestampRFC3339Nano(s); ok {
|
|
bucketSizeInt := int64(bf.bucketSize)
|
|
if bucketSizeInt <= 0 {
|
|
bucketSizeInt = 1
|
|
}
|
|
bucketOffset := int64(bf.bucketOffset)
|
|
|
|
timestamp -= bucketOffset
|
|
if bf.bucketSizeStr == "month" {
|
|
timestamp = truncateTimestampToMonth(timestamp)
|
|
} else if bf.bucketSizeStr == "year" {
|
|
timestamp = truncateTimestampToYear(timestamp)
|
|
} else {
|
|
timestamp -= timestamp % bucketSizeInt
|
|
}
|
|
timestamp += bucketOffset
|
|
|
|
buf := br.a.b
|
|
bufLen := len(buf)
|
|
buf = marshalTimestampRFC3339NanoString(buf, timestamp)
|
|
br.a.b = buf
|
|
return bytesutil.ToUnsafeString(buf[bufLen:])
|
|
}
|
|
|
|
if n, ok := tryParseIPv4(s); ok {
|
|
bucketSizeInt := uint32(bf.bucketSize)
|
|
if bucketSizeInt <= 0 {
|
|
bucketSizeInt = 1
|
|
}
|
|
bucketOffset := uint32(int32(bf.bucketOffset))
|
|
|
|
n -= bucketOffset
|
|
n -= n % bucketSizeInt
|
|
n += bucketOffset
|
|
|
|
buf := br.a.b
|
|
bufLen := len(buf)
|
|
buf = marshalIPv4String(buf, n)
|
|
br.a.b = buf
|
|
return bytesutil.ToUnsafeString(buf[bufLen:])
|
|
}
|
|
|
|
if nsecs, ok := tryParseDuration(s); ok {
|
|
bucketSizeInt := int64(bf.bucketSize)
|
|
if bucketSizeInt <= 0 {
|
|
bucketSizeInt = 1
|
|
}
|
|
bucketOffset := int64(bf.bucketOffset)
|
|
|
|
nsecs -= bucketOffset
|
|
nsecs -= nsecs % bucketSizeInt
|
|
nsecs += bucketOffset
|
|
|
|
buf := br.a.b
|
|
bufLen := len(buf)
|
|
buf = marshalDurationString(buf, nsecs)
|
|
br.a.b = buf
|
|
return bytesutil.ToUnsafeString(buf[bufLen:])
|
|
}
|
|
|
|
// Couldn't parse s, so return it as is.
|
|
return s
|
|
}
|
|
|
|
// copyColumns copies columns from srcColumnNames to dstColumnNames.
|
|
func (br *blockResult) copyColumns(srcColumnNames, dstColumnNames []string) {
|
|
for i, srcName := range srcColumnNames {
|
|
br.copySingleColumn(srcName, dstColumnNames[i])
|
|
}
|
|
}
|
|
|
|
func (br *blockResult) copySingleColumn(srcName, dstName string) {
|
|
found := false
|
|
cs := br.getColumns()
|
|
csBufLen := len(br.csBuf)
|
|
for _, c := range cs {
|
|
if c.name != dstName {
|
|
br.csBuf = append(br.csBuf, *c)
|
|
}
|
|
if c.name == srcName {
|
|
cCopy := *c
|
|
cCopy.name = dstName
|
|
br.csBuf = append(br.csBuf, cCopy)
|
|
found = true
|
|
}
|
|
}
|
|
if !found {
|
|
br.addConstColumn(dstName, "")
|
|
}
|
|
br.csBuf = append(br.csBuf[:0], br.csBuf[csBufLen:]...)
|
|
br.csInitialized = false
|
|
}
|
|
|
|
// renameColumns renames columns from srcColumnNames to dstColumnNames.
|
|
func (br *blockResult) renameColumns(srcColumnNames, dstColumnNames []string) {
|
|
for i, srcName := range srcColumnNames {
|
|
br.renameSingleColumn(srcName, dstColumnNames[i])
|
|
}
|
|
}
|
|
|
|
func (br *blockResult) renameSingleColumn(srcName, dstName string) {
|
|
found := false
|
|
cs := br.getColumns()
|
|
csBufLen := len(br.csBuf)
|
|
for _, c := range cs {
|
|
if c.name == srcName {
|
|
cCopy := *c
|
|
cCopy.name = dstName
|
|
br.csBuf = append(br.csBuf, cCopy)
|
|
found = true
|
|
} else if c.name != dstName {
|
|
br.csBuf = append(br.csBuf, *c)
|
|
}
|
|
}
|
|
if !found {
|
|
br.addConstColumn(dstName, "")
|
|
}
|
|
br.csBuf = append(br.csBuf[:0], br.csBuf[csBufLen:]...)
|
|
br.csInitialized = false
|
|
}
|
|
|
|
// deleteColumns deletes columns with the given columnNames.
|
|
func (br *blockResult) deleteColumns(columnNames []string) {
|
|
if len(columnNames) == 0 {
|
|
return
|
|
}
|
|
|
|
cs := br.getColumns()
|
|
csBufLen := len(br.csBuf)
|
|
for _, c := range cs {
|
|
if !slices.Contains(columnNames, c.name) {
|
|
br.csBuf = append(br.csBuf, *c)
|
|
}
|
|
}
|
|
|
|
br.csBuf = append(br.csBuf[:0], br.csBuf[csBufLen:]...)
|
|
br.csInitialized = false
|
|
}
|
|
|
|
// setColumns sets the resulting columns to the given columnNames.
|
|
func (br *blockResult) setColumns(columnNames []string) {
|
|
if br.areSameColumns(columnNames) {
|
|
// Fast path - nothing to change.
|
|
return
|
|
}
|
|
|
|
// Slow path - construct the requested columns
|
|
cs := br.getColumns()
|
|
csBufLen := len(br.csBuf)
|
|
for _, c := range cs {
|
|
if slices.Contains(columnNames, c.name) {
|
|
br.csBuf = append(br.csBuf, *c)
|
|
}
|
|
}
|
|
|
|
for _, columnName := range columnNames {
|
|
if idx := getBlockResultColumnIdxByName(cs, columnName); idx < 0 {
|
|
br.addConstColumn(columnName, "")
|
|
}
|
|
}
|
|
|
|
br.csBuf = append(br.csBuf[:0], br.csBuf[csBufLen:]...)
|
|
br.csInitialized = false
|
|
}
|
|
|
|
func (br *blockResult) areSameColumns(columnNames []string) bool {
|
|
cs := br.getColumns()
|
|
if len(cs) != len(columnNames) {
|
|
return false
|
|
}
|
|
for i, c := range cs {
|
|
if c.name != columnNames[i] {
|
|
return false
|
|
}
|
|
}
|
|
return true
|
|
}
|
|
|
|
func (br *blockResult) getColumnByName(columnName string) *blockResultColumn {
|
|
if columnName == "" {
|
|
columnName = "_msg"
|
|
}
|
|
cs := br.getColumns()
|
|
|
|
idx := getBlockResultColumnIdxByName(cs, columnName)
|
|
if idx >= 0 {
|
|
return cs[idx]
|
|
}
|
|
|
|
// Search for empty column with the given name
|
|
csEmpty := br.csEmpty
|
|
for i := range csEmpty {
|
|
if csEmpty[i].name == columnName {
|
|
return &csEmpty[i]
|
|
}
|
|
}
|
|
|
|
// Create missing empty column
|
|
br.csEmpty = append(br.csEmpty, blockResultColumn{
|
|
name: br.a.copyString(columnName),
|
|
isConst: true,
|
|
valuesEncoded: getEmptyStrings(1),
|
|
})
|
|
return &br.csEmpty[len(br.csEmpty)-1]
|
|
}
|
|
|
|
func (br *blockResult) getColumns() []*blockResultColumn {
|
|
if !br.csInitialized {
|
|
br.csInit()
|
|
}
|
|
return br.cs
|
|
}
|
|
|
|
func (br *blockResult) csInit() {
|
|
csBuf := br.csBuf
|
|
clear(br.cs)
|
|
cs := br.cs[:0]
|
|
for i := range csBuf {
|
|
c := &csBuf[i]
|
|
idx := getBlockResultColumnIdxByName(cs, c.name)
|
|
if idx >= 0 {
|
|
cs[idx] = c
|
|
} else {
|
|
cs = append(cs, c)
|
|
}
|
|
}
|
|
br.cs = cs
|
|
br.csInitialized = true
|
|
}
|
|
|
|
func (br *blockResult) csInitFast() {
|
|
csBuf := br.csBuf
|
|
clear(br.cs)
|
|
cs := slicesutil.SetLength(br.cs, len(csBuf))
|
|
for i := range csBuf {
|
|
cs[i] = &csBuf[i]
|
|
}
|
|
br.cs = cs
|
|
br.csInitialized = true
|
|
}
|
|
|
|
func getBlockResultColumnIdxByName(cs []*blockResultColumn, name string) int {
|
|
for i, c := range cs {
|
|
if c.name == name {
|
|
return i
|
|
}
|
|
}
|
|
return -1
|
|
}
|
|
|
|
func (br *blockResult) skipRows(skipRows int) {
|
|
timestamps := br.getTimestamps()
|
|
br.timestampsBuf = append(br.timestampsBuf[:0], timestamps[skipRows:]...)
|
|
br.rowsLen -= skipRows
|
|
br.checkTimestampsLen()
|
|
|
|
for _, c := range br.getColumns() {
|
|
if c.values != nil {
|
|
c.values = append(c.values[:0], c.values[skipRows:]...)
|
|
}
|
|
if c.isConst {
|
|
continue
|
|
}
|
|
|
|
valuesEncoded := c.getValuesEncoded(br)
|
|
if valuesEncoded != nil {
|
|
c.valuesEncoded = append(valuesEncoded[:0], valuesEncoded[skipRows:]...)
|
|
}
|
|
if c.valuesBucketed != nil {
|
|
c.valuesBucketed = append(c.valuesBucketed[:0], c.valuesBucketed[skipRows:]...)
|
|
}
|
|
}
|
|
}
|
|
|
|
func (br *blockResult) truncateRows(keepRows int) {
|
|
timestamps := br.getTimestamps()
|
|
br.timestampsBuf = append(br.timestampsBuf[:0], timestamps[:keepRows]...)
|
|
br.rowsLen = keepRows
|
|
br.checkTimestampsLen()
|
|
|
|
for _, c := range br.getColumns() {
|
|
if c.values != nil {
|
|
c.values = c.values[:keepRows]
|
|
}
|
|
if c.isConst {
|
|
continue
|
|
}
|
|
|
|
valuesEncoded := c.getValuesEncoded(br)
|
|
if valuesEncoded != nil {
|
|
c.valuesEncoded = valuesEncoded[:keepRows]
|
|
}
|
|
if c.valuesBucketed != nil {
|
|
c.valuesBucketed = append(c.valuesBucketed[:0], c.valuesBucketed[keepRows:]...)
|
|
}
|
|
}
|
|
}
|
|
|
|
// blockResultColumn represents named column from blockResult.
|
|
//
|
|
// blockResultColumn doesn't own any referred data - all the referred data must be owned by blockResult.
|
|
// This simplifies copying, resetting and re-using of the struct.
|
|
type blockResultColumn struct {
|
|
// name is column name
|
|
name string
|
|
|
|
// isConst is set to true if the column is const.
|
|
//
|
|
// The column value is stored in valuesEncoded[0]
|
|
isConst bool
|
|
|
|
// isTime is set to true if the column contains _time values.
|
|
//
|
|
// The column values are stored in blockResult.timestamps, while valuesEncoded is nil.
|
|
isTime bool
|
|
|
|
// valueType is the type of non-cost value
|
|
valueType valueType
|
|
|
|
// minValue is the minimum encoded value for uint*, ipv4, timestamp and float64 value
|
|
//
|
|
// It is used for fast detection of whether the given column contains values in the given range
|
|
minValue uint64
|
|
|
|
// maxValue is the maximum encoded value for uint*, ipv4, timestamp and float64 value
|
|
//
|
|
// It is used for fast detection of whether the given column contains values in the given range
|
|
maxValue uint64
|
|
|
|
// dictValues contains dict values for valueType=valueTypeDict.
|
|
dictValues []string
|
|
|
|
// valuesEncoded contains encoded values for non-const and non-time column after getValuesEncoded() call
|
|
valuesEncoded []string
|
|
|
|
// values contains decoded values after getValues() call
|
|
values []string
|
|
|
|
// valuesBucketed contains values after getValuesBucketed() call
|
|
valuesBucketed []string
|
|
|
|
// valuesEncodedCreator must return valuesEncoded.
|
|
//
|
|
// This interface must be set for non-const and non-time columns if valuesEncoded field isn't set.
|
|
valuesEncodedCreator columnValuesEncodedCreator
|
|
|
|
// bucketSizeStr contains bucketSizeStr for valuesBucketed
|
|
bucketSizeStr string
|
|
|
|
// bucketOffsetStr contains bucketOffset for valuesBucketed
|
|
bucketOffsetStr string
|
|
}
|
|
|
|
// columnValuesEncodedCreator must return encoded values for the current column.
|
|
type columnValuesEncodedCreator interface {
|
|
newValuesEncoded(br *blockResult) []string
|
|
}
|
|
|
|
// clone returns a clone of c backed by data from br.
|
|
//
|
|
// It is expected that c.valuesEncoded is already initialized for non-time column.
|
|
//
|
|
// The clone is valid until br is reset.
|
|
func (c *blockResultColumn) clone(br *blockResult) blockResultColumn {
|
|
var cNew blockResultColumn
|
|
|
|
cNew.name = br.a.copyString(c.name)
|
|
|
|
cNew.isConst = c.isConst
|
|
cNew.isTime = c.isTime
|
|
cNew.valueType = c.valueType
|
|
cNew.minValue = c.minValue
|
|
cNew.maxValue = c.maxValue
|
|
|
|
cNew.dictValues = br.cloneValues(c.dictValues)
|
|
|
|
if !c.isTime && c.valuesEncoded == nil {
|
|
logger.Panicf("BUG: valuesEncoded must be non-nil for non-time column %q; isConst=%v; valueType=%d", c.name, c.isConst, c.valueType)
|
|
}
|
|
cNew.valuesEncoded = br.cloneValues(c.valuesEncoded)
|
|
|
|
if c.valueType != valueTypeString {
|
|
cNew.values = br.cloneValues(c.values)
|
|
}
|
|
cNew.valuesBucketed = br.cloneValues(c.valuesBucketed)
|
|
|
|
// Do not copy c.valuesEncodedCreator, since it may refer to data, which may change over time.
|
|
// We already copied c.valuesEncoded, so cNew.valuesEncodedCreator must be nil.
|
|
|
|
cNew.bucketSizeStr = c.bucketSizeStr
|
|
cNew.bucketOffsetStr = c.bucketOffsetStr
|
|
|
|
return cNew
|
|
}
|
|
|
|
func (c *blockResultColumn) neededBackingBufLen() int {
|
|
n := len(c.name)
|
|
n += valuesSizeBytes(c.dictValues)
|
|
n += valuesSizeBytes(c.valuesEncoded)
|
|
if c.valueType != valueTypeString {
|
|
n += valuesSizeBytes(c.values)
|
|
}
|
|
n += valuesSizeBytes(c.valuesBucketed)
|
|
return n
|
|
}
|
|
|
|
func (c *blockResultColumn) neededBackingValuesBufLen() int {
|
|
n := 0
|
|
n += len(c.dictValues)
|
|
n += len(c.valuesEncoded)
|
|
if c.valueType != valueTypeString {
|
|
n += len(c.values)
|
|
}
|
|
n += len(c.valuesBucketed)
|
|
return n
|
|
}
|
|
|
|
func valuesSizeBytes(values []string) int {
|
|
n := 0
|
|
for _, v := range values {
|
|
n += len(v)
|
|
}
|
|
return n
|
|
}
|
|
|
|
// getValueAtRow returns value for the value at the given rowIdx.
|
|
//
|
|
// The returned value is valid until br.reset() is called.
|
|
func (c *blockResultColumn) getValueAtRow(br *blockResult, rowIdx int) string {
|
|
if c.isConst {
|
|
// Fast path for const column.
|
|
return c.valuesEncoded[0]
|
|
}
|
|
if c.values != nil {
|
|
// Fast path, which avoids call overhead for getValues().
|
|
return c.values[rowIdx]
|
|
}
|
|
|
|
// Slow path - decode all the values and return the given value.
|
|
values := c.getValues(br)
|
|
return values[rowIdx]
|
|
}
|
|
|
|
// getValuesBucketed returns values for the given column, bucketed according to bf.
|
|
//
|
|
// The returned values are valid until br.reset() is called.
|
|
func (c *blockResultColumn) getValuesBucketed(br *blockResult, bf *byStatsField) []string {
|
|
if !bf.hasBucketConfig() {
|
|
return c.getValues(br)
|
|
}
|
|
if values := c.valuesBucketed; values != nil && c.bucketSizeStr == bf.bucketSizeStr && c.bucketOffsetStr == bf.bucketOffsetStr {
|
|
return values
|
|
}
|
|
|
|
c.valuesBucketed = br.newValuesBucketedForColumn(c, bf)
|
|
c.bucketSizeStr = bf.bucketSizeStr
|
|
c.bucketOffsetStr = bf.bucketOffsetStr
|
|
return c.valuesBucketed
|
|
}
|
|
|
|
// getValues returns values for the given column.
|
|
//
|
|
// The returned values are valid until br.reset() is called.
|
|
func (c *blockResultColumn) getValues(br *blockResult) []string {
|
|
if values := c.values; values != nil {
|
|
return values
|
|
}
|
|
|
|
c.values = br.newValuesBucketedForColumn(c, zeroByStatsField)
|
|
return c.values
|
|
}
|
|
|
|
// getValuesEncoded returns encoded values for the given column.
|
|
//
|
|
// The returned values are valid until br.reset() is called.
|
|
func (c *blockResultColumn) getValuesEncoded(br *blockResult) []string {
|
|
if c.isTime {
|
|
return nil
|
|
}
|
|
|
|
if c.valuesEncoded == nil {
|
|
c.valuesEncoded = c.valuesEncodedCreator.newValuesEncoded(br)
|
|
}
|
|
return c.valuesEncoded
|
|
}
|
|
|
|
// forEachDictValue calls f for every value in the column dictionary.
|
|
func (c *blockResultColumn) forEachDictValue(br *blockResult, f func(v string)) {
|
|
if c.valueType != valueTypeDict {
|
|
logger.Panicf("BUG: unexpected column valueType=%d; want %d", c.valueType, valueTypeDict)
|
|
}
|
|
if br.bs != nil && uint64(br.rowsLen) == br.bs.bsw.bh.rowsCount {
|
|
// Fast path - there is no need in reading encoded values
|
|
for _, v := range c.dictValues {
|
|
f(v)
|
|
}
|
|
return
|
|
}
|
|
|
|
// Slow path - need to read encoded values in order filter not referenced columns.
|
|
a := encoding.GetUint64s(len(c.dictValues))
|
|
hits := a.A
|
|
clear(hits)
|
|
valuesEncoded := c.getValuesEncoded(br)
|
|
for _, v := range valuesEncoded {
|
|
idx := unmarshalUint8(v)
|
|
hits[idx]++
|
|
}
|
|
for i, v := range c.dictValues {
|
|
if h := hits[i]; h > 0 {
|
|
f(v)
|
|
}
|
|
}
|
|
encoding.PutUint64s(a)
|
|
}
|
|
|
|
// forEachDictValueWithHits calls f for every value in the column dictionary.
|
|
//
|
|
// hits is the number of rows with the given value v in the column.
|
|
func (c *blockResultColumn) forEachDictValueWithHits(br *blockResult, f func(v string, hits uint64)) {
|
|
if c.valueType != valueTypeDict {
|
|
logger.Panicf("BUG: unexpected column valueType=%d; want %d", c.valueType, valueTypeDict)
|
|
}
|
|
|
|
a := encoding.GetUint64s(len(c.dictValues))
|
|
hits := a.A
|
|
clear(hits)
|
|
valuesEncoded := c.getValuesEncoded(br)
|
|
for _, v := range valuesEncoded {
|
|
idx := unmarshalUint8(v)
|
|
hits[idx]++
|
|
}
|
|
for i, v := range c.dictValues {
|
|
if h := hits[i]; h > 0 {
|
|
f(v, h)
|
|
}
|
|
}
|
|
encoding.PutUint64s(a)
|
|
}
|
|
|
|
func (c *blockResultColumn) getFloatValueAtRow(br *blockResult, rowIdx int) (float64, bool) {
|
|
if c.isConst {
|
|
v := c.valuesEncoded[0]
|
|
return tryParseFloat64(v)
|
|
}
|
|
if c.isTime {
|
|
return 0, false
|
|
}
|
|
|
|
valuesEncoded := c.getValuesEncoded(br)
|
|
|
|
switch c.valueType {
|
|
case valueTypeString:
|
|
v := valuesEncoded[rowIdx]
|
|
return tryParseFloat64(v)
|
|
case valueTypeDict:
|
|
dictIdx := valuesEncoded[rowIdx][0]
|
|
v := c.dictValues[dictIdx]
|
|
return tryParseFloat64(v)
|
|
case valueTypeUint8:
|
|
v := valuesEncoded[rowIdx]
|
|
return float64(unmarshalUint8(v)), true
|
|
case valueTypeUint16:
|
|
v := valuesEncoded[rowIdx]
|
|
return float64(unmarshalUint16(v)), true
|
|
case valueTypeUint32:
|
|
v := valuesEncoded[rowIdx]
|
|
return float64(unmarshalUint32(v)), true
|
|
case valueTypeUint64:
|
|
v := valuesEncoded[rowIdx]
|
|
return float64(unmarshalUint64(v)), true
|
|
case valueTypeFloat64:
|
|
v := valuesEncoded[rowIdx]
|
|
f := unmarshalFloat64(v)
|
|
return f, !math.IsNaN(f)
|
|
case valueTypeIPv4:
|
|
return 0, false
|
|
case valueTypeTimestampISO8601:
|
|
return 0, false
|
|
default:
|
|
logger.Panicf("BUG: unknown valueType=%d", c.valueType)
|
|
return 0, false
|
|
}
|
|
}
|
|
|
|
func (c *blockResultColumn) sumLenValues(br *blockResult) uint64 {
|
|
if c.isConst {
|
|
v := c.valuesEncoded[0]
|
|
return uint64(len(v)) * uint64(br.rowsLen)
|
|
}
|
|
if c.isTime {
|
|
return uint64(len(time.RFC3339Nano)) * uint64(br.rowsLen)
|
|
}
|
|
|
|
switch c.valueType {
|
|
case valueTypeString:
|
|
return c.sumLenStringValues(br)
|
|
case valueTypeDict:
|
|
n := uint64(0)
|
|
dictValues := c.dictValues
|
|
for _, v := range c.getValuesEncoded(br) {
|
|
idx := v[0]
|
|
v := dictValues[idx]
|
|
n += uint64(len(v))
|
|
}
|
|
return n
|
|
case valueTypeUint8:
|
|
return c.sumLenStringValues(br)
|
|
case valueTypeUint16:
|
|
return c.sumLenStringValues(br)
|
|
case valueTypeUint32:
|
|
return c.sumLenStringValues(br)
|
|
case valueTypeUint64:
|
|
return c.sumLenStringValues(br)
|
|
case valueTypeFloat64:
|
|
return c.sumLenStringValues(br)
|
|
case valueTypeIPv4:
|
|
return c.sumLenStringValues(br)
|
|
case valueTypeTimestampISO8601:
|
|
return uint64(len(iso8601Timestamp)) * uint64(br.rowsLen)
|
|
default:
|
|
logger.Panicf("BUG: unknown valueType=%d", c.valueType)
|
|
return 0
|
|
}
|
|
}
|
|
|
|
func (c *blockResultColumn) sumLenStringValues(br *blockResult) uint64 {
|
|
n := uint64(0)
|
|
for _, v := range c.getValues(br) {
|
|
n += uint64(len(v))
|
|
}
|
|
return n
|
|
}
|
|
|
|
func (c *blockResultColumn) sumValues(br *blockResult) (float64, int) {
|
|
if c.isConst {
|
|
v := c.valuesEncoded[0]
|
|
f, ok := tryParseFloat64(v)
|
|
if !ok {
|
|
return 0, 0
|
|
}
|
|
return f * float64(br.rowsLen), br.rowsLen
|
|
}
|
|
if c.isTime {
|
|
return 0, 0
|
|
}
|
|
|
|
switch c.valueType {
|
|
case valueTypeString:
|
|
sum := float64(0)
|
|
count := 0
|
|
f := float64(0)
|
|
ok := false
|
|
values := c.getValuesEncoded(br)
|
|
for i := range values {
|
|
if i == 0 || values[i-1] != values[i] {
|
|
f, ok = tryParseNumber(values[i])
|
|
}
|
|
if ok {
|
|
sum += f
|
|
count++
|
|
}
|
|
}
|
|
return sum, count
|
|
case valueTypeDict:
|
|
dictValues := c.dictValues
|
|
a := encoding.GetFloat64s(len(dictValues))
|
|
dictValuesFloat := a.A
|
|
for i, v := range dictValues {
|
|
f, ok := tryParseNumber(v)
|
|
if !ok {
|
|
f = nan
|
|
}
|
|
dictValuesFloat[i] = f
|
|
}
|
|
sum := float64(0)
|
|
count := 0
|
|
for _, v := range c.getValuesEncoded(br) {
|
|
dictIdx := v[0]
|
|
f := dictValuesFloat[dictIdx]
|
|
if !math.IsNaN(f) {
|
|
sum += f
|
|
count++
|
|
}
|
|
}
|
|
encoding.PutFloat64s(a)
|
|
return sum, count
|
|
case valueTypeUint8:
|
|
sum := uint64(0)
|
|
for _, v := range c.getValuesEncoded(br) {
|
|
sum += uint64(unmarshalUint8(v))
|
|
}
|
|
return float64(sum), br.rowsLen
|
|
case valueTypeUint16:
|
|
sum := uint64(0)
|
|
for _, v := range c.getValuesEncoded(br) {
|
|
sum += uint64(unmarshalUint16(v))
|
|
}
|
|
return float64(sum), br.rowsLen
|
|
case valueTypeUint32:
|
|
sum := uint64(0)
|
|
for _, v := range c.getValuesEncoded(br) {
|
|
sum += uint64(unmarshalUint32(v))
|
|
}
|
|
return float64(sum), br.rowsLen
|
|
case valueTypeUint64:
|
|
sum := float64(0)
|
|
for _, v := range c.getValuesEncoded(br) {
|
|
sum += float64(unmarshalUint64(v))
|
|
}
|
|
return sum, br.rowsLen
|
|
case valueTypeFloat64:
|
|
sum := float64(0)
|
|
for _, v := range c.getValuesEncoded(br) {
|
|
f := unmarshalFloat64(v)
|
|
if !math.IsNaN(f) {
|
|
sum += f
|
|
}
|
|
}
|
|
return sum, br.rowsLen
|
|
case valueTypeIPv4:
|
|
return 0, 0
|
|
case valueTypeTimestampISO8601:
|
|
return 0, 0
|
|
default:
|
|
logger.Panicf("BUG: unknown valueType=%d", c.valueType)
|
|
return 0, 0
|
|
}
|
|
}
|
|
|
|
// resultColumn represents a column with result values.
|
|
//
|
|
// It doesn't own the result values.
|
|
type resultColumn struct {
|
|
// name is column name.
|
|
name string
|
|
|
|
// values is the result values.
|
|
values []string
|
|
}
|
|
|
|
func (rc *resultColumn) reset() {
|
|
rc.name = ""
|
|
rc.resetValues()
|
|
}
|
|
|
|
func (rc *resultColumn) resetValues() {
|
|
clear(rc.values)
|
|
rc.values = rc.values[:0]
|
|
}
|
|
|
|
func appendResultColumnWithName(dst []resultColumn, name string) []resultColumn {
|
|
dst = slicesutil.SetLength(dst, len(dst)+1)
|
|
rc := &dst[len(dst)-1]
|
|
rc.name = name
|
|
rc.resetValues()
|
|
return dst
|
|
}
|
|
|
|
// addValue adds the given values v to rc.
|
|
//
|
|
// rc is valid until v is modified.
|
|
func (rc *resultColumn) addValue(v string) {
|
|
rc.values = append(rc.values, v)
|
|
}
|
|
|
|
func truncateTimestampToMonth(timestamp int64) int64 {
|
|
t := time.Unix(0, timestamp).UTC()
|
|
return time.Date(t.Year(), t.Month(), 1, 0, 0, 0, 0, time.UTC).UnixNano()
|
|
}
|
|
|
|
func truncateTimestampToYear(timestamp int64) int64 {
|
|
t := time.Unix(0, timestamp).UTC()
|
|
return time.Date(t.Year(), time.January, 1, 0, 0, 0, 0, time.UTC).UnixNano()
|
|
}
|
|
|
|
func getEmptyStrings(rowsLen int) []string {
|
|
p := emptyStrings.Load()
|
|
if p == nil {
|
|
values := make([]string, rowsLen)
|
|
emptyStrings.Store(&values)
|
|
return values
|
|
}
|
|
values := *p
|
|
return slicesutil.SetLength(values, rowsLen)
|
|
}
|
|
|
|
var emptyStrings atomic.Pointer[[]string]
|
|
|
|
func visitValuesReadonly(bs *blockSearch, ch *columnHeader, bm *bitmap, f func(value string)) {
|
|
if bm.isZero() {
|
|
// Fast path - nothing to visit
|
|
return
|
|
}
|
|
values := bs.getValuesForColumn(ch)
|
|
bm.forEachSetBitReadonly(func(idx int) {
|
|
f(values[idx])
|
|
})
|
|
}
|
|
|
|
func getCanonicalColumnName(columnName string) string {
|
|
if columnName == "" {
|
|
return "_msg"
|
|
}
|
|
return columnName
|
|
}
|
|
|
|
func tryParseNumber(s string) (float64, bool) {
|
|
if len(s) == 0 {
|
|
return 0, false
|
|
}
|
|
f, ok := tryParseFloat64(s)
|
|
if ok {
|
|
return f, true
|
|
}
|
|
nsecs, ok := tryParseDuration(s)
|
|
if ok {
|
|
return float64(nsecs), true
|
|
}
|
|
bytes, ok := tryParseBytes(s)
|
|
if ok {
|
|
return float64(bytes), true
|
|
}
|
|
if isLikelyNumber(s) {
|
|
f, err := strconv.ParseFloat(s, 64)
|
|
if err == nil {
|
|
return f, true
|
|
}
|
|
n, err := strconv.ParseInt(s, 0, 64)
|
|
if err == nil {
|
|
return float64(n), true
|
|
}
|
|
}
|
|
return 0, false
|
|
}
|
|
|
|
func isLikelyNumber(s string) bool {
|
|
if !isNumberPrefix(s) {
|
|
return false
|
|
}
|
|
if strings.Count(s, ".") > 1 {
|
|
// This is likely IP address
|
|
return false
|
|
}
|
|
if strings.IndexByte(s, ':') >= 0 || strings.Count(s, "-") > 2 {
|
|
// This is likely a timestamp
|
|
return false
|
|
}
|
|
return true
|
|
}
|
|
|
|
var nan = math.NaN()
|
|
var inf = math.Inf(1)
|