mirror of
https://github.com/VictoriaMetrics/VictoriaMetrics.git
synced 2024-12-22 08:26:19 +01:00
8dce4eb189
- Move uniqueFields from rows to blockStreamMerger struct. This allows localizing all the references to uniqueFields inside blockStreamMerger.mustWriteBlock(), which should improve readability and maintainability of the code. - Remove logging of the event when blocks cannot be merged because they contain more than maxColumnsPerBlock, since the provided logging didn't provide the solution for the issue with too many columns. I couldn't figure out the proper solution, which could be helpful for end user, so decided to remove the logging until we find the solution. This commit also contains the following additional changes: - It truncates field names longer than 128 chars during logs ingestion. This should prevent from ingesting bogus field names. This also should prevent from too big columnsHeader blocks, which could negatively affect search query performance, since columnsHeader is read on every scan of the corresponding data block. - It limits the maximum length of const column value to 256. Longer values are stored in an ordinary columns. This helps limiting the size of columnsHeader blocks and improving search query performance by avoiding reading too long const columns on every scan of the corresponding data block. - It deduplicates columns with identical names during data ingestion and background merging. Previously it was possible to pass columns with duplicate names to block.mustInitFromRows(), and they were stored as is in the block. Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/4762 Updates https://github.com/VictoriaMetrics/VictoriaMetrics/pull/4969
670 lines
16 KiB
Go
670 lines
16 KiB
Go
package logstorage
|
|
|
|
import (
|
|
"fmt"
|
|
"sort"
|
|
"sync"
|
|
"time"
|
|
|
|
"github.com/VictoriaMetrics/VictoriaMetrics/lib/encoding"
|
|
"github.com/VictoriaMetrics/VictoriaMetrics/lib/logger"
|
|
)
|
|
|
|
// block represents a block of log entries.
|
|
type block struct {
|
|
// timestamps contains timestamps for log entries.
|
|
timestamps []int64
|
|
|
|
// columns contains values for fields seen in log entries.
|
|
columns []column
|
|
|
|
// constColumns contains fields with constant values across all the block entries.
|
|
constColumns []Field
|
|
}
|
|
|
|
func (b *block) reset() {
|
|
b.timestamps = b.timestamps[:0]
|
|
|
|
cs := b.columns
|
|
for i := range cs {
|
|
cs[i].reset()
|
|
}
|
|
b.columns = cs[:0]
|
|
|
|
ccs := b.constColumns
|
|
for i := range ccs {
|
|
ccs[i].Reset()
|
|
}
|
|
b.constColumns = ccs[:0]
|
|
}
|
|
|
|
// uncompressedSizeBytes returns the total size of the origianl log entries stored in b.
|
|
//
|
|
// It is supposed that every log entry has the following format:
|
|
//
|
|
// 2006-01-02T15:04:05.999999999Z07:00 field1=value1 ... fieldN=valueN
|
|
func (b *block) uncompressedSizeBytes() uint64 {
|
|
rowsCount := uint64(b.Len())
|
|
|
|
// Take into account timestamps
|
|
n := rowsCount * uint64(len(time.RFC3339Nano))
|
|
|
|
// Take into account columns
|
|
cs := b.columns
|
|
for i := range cs {
|
|
c := &cs[i]
|
|
nameLen := uint64(len(c.name))
|
|
if nameLen == 0 {
|
|
nameLen = uint64(len("_msg"))
|
|
}
|
|
for _, v := range c.values {
|
|
if len(v) > 0 {
|
|
n += nameLen + 2 + uint64(len(v))
|
|
}
|
|
}
|
|
}
|
|
|
|
// Take into account constColumns
|
|
ccs := b.constColumns
|
|
for i := range ccs {
|
|
cc := &ccs[i]
|
|
nameLen := uint64(len(cc.Name))
|
|
if nameLen == 0 {
|
|
nameLen = uint64(len("_msg"))
|
|
}
|
|
n += rowsCount * (2 + nameLen + uint64(len(cc.Value)))
|
|
}
|
|
|
|
return n
|
|
}
|
|
|
|
// uncompressedRowsSizeBytes returns the size of the uncompressed rows.
|
|
//
|
|
// It is supposed that every row has the following format:
|
|
//
|
|
// 2006-01-02T15:04:05.999999999Z07:00 field1=value1 ... fieldN=valueN
|
|
func uncompressedRowsSizeBytes(rows [][]Field) uint64 {
|
|
n := uint64(0)
|
|
for _, fields := range rows {
|
|
n += uncompressedRowSizeBytes(fields)
|
|
}
|
|
return n
|
|
}
|
|
|
|
// uncompressedRowSizeBytes returns the size of uncompressed row.
|
|
//
|
|
// It is supposed that the row has the following format:
|
|
//
|
|
// 2006-01-02T15:04:05.999999999Z07:00 field1=value1 ... fieldN=valueN
|
|
func uncompressedRowSizeBytes(fields []Field) uint64 {
|
|
n := uint64(len(time.RFC3339Nano)) // log timestamp
|
|
for _, f := range fields {
|
|
nameLen := len(f.Name)
|
|
if nameLen == 0 {
|
|
nameLen = len("_msg")
|
|
}
|
|
n += uint64(2 + nameLen + len(f.Value))
|
|
}
|
|
return n
|
|
}
|
|
|
|
// column contains values for the given field name seen in log entries.
|
|
type column struct {
|
|
// name is the field name
|
|
name string
|
|
|
|
// values is the values seen for the given log entries.
|
|
values []string
|
|
}
|
|
|
|
func (c *column) reset() {
|
|
c.name = ""
|
|
|
|
values := c.values
|
|
for i := range values {
|
|
values[i] = ""
|
|
}
|
|
c.values = values[:0]
|
|
}
|
|
|
|
func (c *column) canStoreInConstColumn() bool {
|
|
values := c.values
|
|
if len(values) == 0 {
|
|
return true
|
|
}
|
|
value := values[0]
|
|
if len(value) > maxConstColumnValueSize {
|
|
return false
|
|
}
|
|
for _, v := range values[1:] {
|
|
if value != v {
|
|
return false
|
|
}
|
|
}
|
|
return true
|
|
}
|
|
|
|
func (c *column) resizeValues(valuesLen int) []string {
|
|
values := c.values
|
|
if n := valuesLen - cap(values); n > 0 {
|
|
values = append(values[:cap(values)], make([]string, n)...)
|
|
}
|
|
values = values[:valuesLen]
|
|
c.values = values
|
|
return values
|
|
}
|
|
|
|
// mustWriteTo writes c to sw and updates ch accordingly.
|
|
func (c *column) mustWriteTo(ch *columnHeader, sw *streamWriters) {
|
|
ch.reset()
|
|
|
|
valuesWriter := &sw.fieldValuesWriter
|
|
bloomFilterWriter := &sw.fieldBloomFilterWriter
|
|
if c.name == "" {
|
|
valuesWriter = &sw.messageValuesWriter
|
|
bloomFilterWriter = &sw.messageBloomFilterWriter
|
|
}
|
|
|
|
ch.name = c.name
|
|
|
|
// encode values
|
|
ve := getValuesEncoder()
|
|
ch.valueType, ch.minValue, ch.maxValue = ve.encode(c.values, &ch.valuesDict)
|
|
|
|
bb := longTermBufPool.Get()
|
|
defer longTermBufPool.Put(bb)
|
|
|
|
// marshal values
|
|
bb.B = marshalStringsBlock(bb.B[:0], ve.values)
|
|
putValuesEncoder(ve)
|
|
ch.valuesSize = uint64(len(bb.B))
|
|
if ch.valuesSize > maxValuesBlockSize {
|
|
logger.Panicf("BUG: too valuesSize: %d bytes; mustn't exceed %d bytes", ch.valuesSize, maxValuesBlockSize)
|
|
}
|
|
ch.valuesOffset = valuesWriter.bytesWritten
|
|
valuesWriter.MustWrite(bb.B)
|
|
|
|
// create and marshal bloom filter for c.values
|
|
if ch.valueType != valueTypeDict {
|
|
tokensBuf := getTokensBuf()
|
|
tokensBuf.A = tokenizeStrings(tokensBuf.A[:0], c.values)
|
|
bb.B = bloomFilterMarshal(bb.B[:0], tokensBuf.A)
|
|
putTokensBuf(tokensBuf)
|
|
} else {
|
|
// there is no need in ecoding bloom filter for dictiory type,
|
|
// since it isn't used during querying - all the dictionary values are available in ch.valuesDict
|
|
bb.B = bb.B[:0]
|
|
}
|
|
ch.bloomFilterSize = uint64(len(bb.B))
|
|
if ch.bloomFilterSize > maxBloomFilterBlockSize {
|
|
logger.Panicf("BUG: too big bloomFilterSize: %d bytes; mustn't exceed %d bytes", ch.bloomFilterSize, maxBloomFilterBlockSize)
|
|
}
|
|
ch.bloomFilterOffset = bloomFilterWriter.bytesWritten
|
|
bloomFilterWriter.MustWrite(bb.B)
|
|
}
|
|
|
|
func (b *block) assertValid() {
|
|
// Check that timestamps are in ascending order
|
|
timestamps := b.timestamps
|
|
for i := 1; i < len(timestamps); i++ {
|
|
if timestamps[i-1] > timestamps[i] {
|
|
logger.Panicf("BUG: log entries must be sorted by timestamp; got the previous entry with bigger timestamp %d than the current entry with timestamp %d",
|
|
timestamps[i-1], timestamps[i])
|
|
}
|
|
}
|
|
|
|
// Check that the number of items in each column matches the number of items in the block.
|
|
itemsCount := len(timestamps)
|
|
columns := b.columns
|
|
for _, c := range columns {
|
|
if len(c.values) != itemsCount {
|
|
logger.Panicf("BUG: unexpected number of values for column %q: got %d; want %d", c.name, len(c.values), itemsCount)
|
|
}
|
|
}
|
|
}
|
|
|
|
// MustInitFromRows initializes b from the given timestamps and rows.
|
|
//
|
|
// It is expected that timestamps are sorted.
|
|
func (b *block) MustInitFromRows(timestamps []int64, rows [][]Field) {
|
|
b.reset()
|
|
|
|
assertTimestampsSorted(timestamps)
|
|
b.timestamps = append(b.timestamps, timestamps...)
|
|
b.mustInitFromRows(rows)
|
|
b.sortColumnsByName()
|
|
}
|
|
|
|
func (b *block) mustInitFromRows(rows [][]Field) {
|
|
rowsLen := len(rows)
|
|
if rowsLen == 0 {
|
|
// Nothing to do
|
|
return
|
|
}
|
|
|
|
if areSameFieldsInRows(rows) {
|
|
// Fast path - all the log entries have the same fields
|
|
fields := rows[0]
|
|
for i := range fields {
|
|
f := &fields[i]
|
|
if canStoreInConstColumn(rows, i) {
|
|
cc := b.extendConstColumns()
|
|
cc.Name = f.Name
|
|
cc.Value = f.Value
|
|
} else {
|
|
c := b.extendColumns()
|
|
c.name = f.Name
|
|
values := c.resizeValues(rowsLen)
|
|
for j := range rows {
|
|
values[j] = rows[j][i].Value
|
|
}
|
|
}
|
|
}
|
|
return
|
|
}
|
|
|
|
// Slow path - log entries contain different set of fields
|
|
|
|
// Determine indexes for columns
|
|
columnIdxs := getColumnIdxs()
|
|
for i := range rows {
|
|
fields := rows[i]
|
|
for j := range fields {
|
|
name := fields[j].Name
|
|
if _, ok := columnIdxs[name]; !ok {
|
|
columnIdxs[name] = len(columnIdxs)
|
|
}
|
|
}
|
|
}
|
|
|
|
// Initialize columns
|
|
cs := b.resizeColumns(len(columnIdxs))
|
|
for name, idx := range columnIdxs {
|
|
c := &cs[idx]
|
|
c.name = name
|
|
c.resizeValues(rowsLen)
|
|
}
|
|
|
|
// Write rows to block
|
|
for i := range rows {
|
|
for _, f := range rows[i] {
|
|
idx := columnIdxs[f.Name]
|
|
cs[idx].values[i] = f.Value
|
|
}
|
|
}
|
|
putColumnIdxs(columnIdxs)
|
|
|
|
// Detect const columns
|
|
for i := len(cs) - 1; i >= 0; i-- {
|
|
c := &cs[i]
|
|
if !c.canStoreInConstColumn() {
|
|
continue
|
|
}
|
|
cc := b.extendConstColumns()
|
|
cc.Name = c.name
|
|
cc.Value = c.values[0]
|
|
|
|
c.reset()
|
|
if i < len(cs)-1 {
|
|
swapColumns(c, &cs[len(cs)-1])
|
|
}
|
|
cs = cs[:len(cs)-1]
|
|
}
|
|
b.columns = cs
|
|
}
|
|
|
|
func swapColumns(a, b *column) {
|
|
*a, *b = *b, *a
|
|
}
|
|
|
|
func canStoreInConstColumn(rows [][]Field, colIdx int) bool {
|
|
if len(rows) == 0 {
|
|
return true
|
|
}
|
|
value := rows[0][colIdx].Value
|
|
if len(value) > maxConstColumnValueSize {
|
|
return false
|
|
}
|
|
rows = rows[1:]
|
|
for i := range rows {
|
|
if value != rows[i][colIdx].Value {
|
|
return false
|
|
}
|
|
}
|
|
return true
|
|
}
|
|
|
|
func assertTimestampsSorted(timestamps []int64) {
|
|
for i := range timestamps {
|
|
if i > 0 && timestamps[i-1] > timestamps[i] {
|
|
logger.Panicf("BUG: log entries must be sorted by timestamp; got the previous entry with bigger timestamp %d than the current entry with timestamp %d",
|
|
timestamps[i-1], timestamps[i])
|
|
}
|
|
}
|
|
}
|
|
|
|
func (b *block) extendConstColumns() *Field {
|
|
ccs := b.constColumns
|
|
if cap(ccs) > len(ccs) {
|
|
ccs = ccs[:len(ccs)+1]
|
|
} else {
|
|
ccs = append(ccs, Field{})
|
|
}
|
|
b.constColumns = ccs
|
|
return &ccs[len(ccs)-1]
|
|
}
|
|
|
|
func (b *block) extendColumns() *column {
|
|
cs := b.columns
|
|
if cap(cs) > len(cs) {
|
|
cs = cs[:len(cs)+1]
|
|
} else {
|
|
cs = append(cs, column{})
|
|
}
|
|
b.columns = cs
|
|
return &cs[len(cs)-1]
|
|
}
|
|
|
|
func (b *block) resizeColumns(columnsLen int) []column {
|
|
cs := b.columns[:0]
|
|
if n := columnsLen - cap(cs); n > 0 {
|
|
cs = append(cs[:cap(cs)], make([]column, n)...)
|
|
}
|
|
cs = cs[:columnsLen]
|
|
b.columns = cs
|
|
return cs
|
|
}
|
|
|
|
func (b *block) sortColumnsByName() {
|
|
if len(b.columns)+len(b.constColumns) > maxColumnsPerBlock {
|
|
logger.Panicf("BUG: too big number of columns detected in the block: %d; the number of columns mustn't exceed %d",
|
|
len(b.columns)+len(b.constColumns), maxColumnsPerBlock)
|
|
}
|
|
|
|
cs := getColumnsSorter()
|
|
cs.columns = b.columns
|
|
sort.Sort(cs)
|
|
putColumnsSorter(cs)
|
|
|
|
ccs := getConstColumnsSorter()
|
|
ccs.columns = b.constColumns
|
|
sort.Sort(ccs)
|
|
putConstColumnsSorter(ccs)
|
|
}
|
|
|
|
// Len returns the number of log entries in b.
|
|
func (b *block) Len() int {
|
|
return len(b.timestamps)
|
|
}
|
|
|
|
// InitFromBlockData unmarshals bd to b.
|
|
//
|
|
// sbu and vd are used as a temporary storage for unmarshaled column values.
|
|
//
|
|
// The b becomes outdated after sbu or vd is reset.
|
|
func (b *block) InitFromBlockData(bd *blockData, sbu *stringsBlockUnmarshaler, vd *valuesDecoder) error {
|
|
b.reset()
|
|
|
|
if bd.rowsCount > maxRowsPerBlock {
|
|
return fmt.Errorf("too many entries found in the block: %d; mustn't exceed %d", bd.rowsCount, maxRowsPerBlock)
|
|
}
|
|
rowsCount := int(bd.rowsCount)
|
|
|
|
// unmarshal timestamps
|
|
td := &bd.timestampsData
|
|
var err error
|
|
b.timestamps, err = encoding.UnmarshalTimestamps(b.timestamps[:0], td.data, td.marshalType, td.minTimestamp, rowsCount)
|
|
if err != nil {
|
|
return fmt.Errorf("cannot unmarshal timestamps: %w", err)
|
|
}
|
|
|
|
// unmarshal columns
|
|
cds := bd.columnsData
|
|
cs := b.resizeColumns(len(cds))
|
|
for i := range cds {
|
|
cd := &cds[i]
|
|
c := &cs[i]
|
|
c.name = cd.name
|
|
c.values, err = sbu.unmarshal(c.values[:0], cd.valuesData, uint64(rowsCount))
|
|
if err != nil {
|
|
return fmt.Errorf("cannot unmarshal column %d: %w", i, err)
|
|
}
|
|
if err = vd.decodeInplace(c.values, cd.valueType, &cd.valuesDict); err != nil {
|
|
return fmt.Errorf("cannot decode column values: %w", err)
|
|
}
|
|
}
|
|
|
|
// unmarshal constColumns
|
|
b.constColumns = append(b.constColumns[:0], bd.constColumns...)
|
|
|
|
return nil
|
|
}
|
|
|
|
// mustWriteTo writes b with the given sid to sw and updates bh accordingly
|
|
func (b *block) mustWriteTo(sid *streamID, bh *blockHeader, sw *streamWriters) {
|
|
// Do not store the version used for encoding directly in the block data, since:
|
|
// - all the blocks in the same part use the same encoding
|
|
// - the block encoding version can be put in metadata file for the part (aka metadataFilename)
|
|
|
|
b.assertValid()
|
|
bh.reset()
|
|
|
|
bh.streamID = *sid
|
|
bh.uncompressedSizeBytes = b.uncompressedSizeBytes()
|
|
bh.rowsCount = uint64(b.Len())
|
|
|
|
// Marshal timestamps
|
|
mustWriteTimestampsTo(&bh.timestampsHeader, b.timestamps, sw)
|
|
|
|
// Marshal columns
|
|
cs := b.columns
|
|
csh := getColumnsHeader()
|
|
chs := csh.resizeColumnHeaders(len(cs))
|
|
for i := range cs {
|
|
cs[i].mustWriteTo(&chs[i], sw)
|
|
}
|
|
csh.constColumns = append(csh.constColumns[:0], b.constColumns...)
|
|
|
|
bb := longTermBufPool.Get()
|
|
bb.B = csh.marshal(bb.B)
|
|
putColumnsHeader(csh)
|
|
bh.columnsHeaderOffset = sw.columnsHeaderWriter.bytesWritten
|
|
bh.columnsHeaderSize = uint64(len(bb.B))
|
|
if bh.columnsHeaderSize > maxColumnsHeaderSize {
|
|
logger.Panicf("BUG: too big columnsHeaderSize: %d bytes; mustn't exceed %d bytes", bh.columnsHeaderSize, maxColumnsHeaderSize)
|
|
}
|
|
sw.columnsHeaderWriter.MustWrite(bb.B)
|
|
longTermBufPool.Put(bb)
|
|
}
|
|
|
|
// appendRowsTo appends log entries from b to dst.
|
|
func (b *block) appendRowsTo(dst *rows) {
|
|
// copy timestamps
|
|
dst.timestamps = append(dst.timestamps, b.timestamps...)
|
|
|
|
// copy columns
|
|
fieldsBuf := dst.fieldsBuf
|
|
ccs := b.constColumns
|
|
cs := b.columns
|
|
for i := range b.timestamps {
|
|
fieldsLen := len(fieldsBuf)
|
|
// copy const columns
|
|
for j := range ccs {
|
|
cc := &ccs[j]
|
|
fieldsBuf = append(fieldsBuf, Field{
|
|
Name: cc.Name,
|
|
Value: cc.Value,
|
|
})
|
|
}
|
|
// copy other columns
|
|
for j := range cs {
|
|
c := &cs[j]
|
|
value := c.values[i]
|
|
if len(value) == 0 {
|
|
continue
|
|
}
|
|
fieldsBuf = append(fieldsBuf, Field{
|
|
Name: c.name,
|
|
Value: value,
|
|
})
|
|
}
|
|
dst.rows = append(dst.rows, fieldsBuf[fieldsLen:])
|
|
}
|
|
dst.fieldsBuf = fieldsBuf
|
|
}
|
|
|
|
func areSameFieldsInRows(rows [][]Field) bool {
|
|
if len(rows) < 2 {
|
|
return true
|
|
}
|
|
fields := rows[0]
|
|
|
|
// Verify that all the field names are unique
|
|
m := make(map[string]struct{}, len(fields))
|
|
for i := range fields {
|
|
f := &fields[i]
|
|
if _, ok := m[f.Name]; ok {
|
|
// Field name isn't unique
|
|
return false
|
|
}
|
|
m[f.Name] = struct{}{}
|
|
}
|
|
|
|
// Verify that all the fields are the same across rows
|
|
rows = rows[1:]
|
|
for i := range rows {
|
|
leFields := rows[i]
|
|
if len(fields) != len(leFields) {
|
|
return false
|
|
}
|
|
for j := range leFields {
|
|
if leFields[j].Name != fields[j].Name {
|
|
return false
|
|
}
|
|
}
|
|
}
|
|
return true
|
|
}
|
|
|
|
var columnIdxsPool sync.Pool
|
|
|
|
func getColumnIdxs() map[string]int {
|
|
v := columnIdxsPool.Get()
|
|
if v == nil {
|
|
return make(map[string]int)
|
|
}
|
|
return v.(map[string]int)
|
|
}
|
|
|
|
func putColumnIdxs(m map[string]int) {
|
|
for k := range m {
|
|
delete(m, k)
|
|
}
|
|
columnIdxsPool.Put(m)
|
|
}
|
|
|
|
func getBlock() *block {
|
|
v := blockPool.Get()
|
|
if v == nil {
|
|
return &block{}
|
|
}
|
|
return v.(*block)
|
|
}
|
|
|
|
func putBlock(b *block) {
|
|
b.reset()
|
|
blockPool.Put(b)
|
|
}
|
|
|
|
var blockPool sync.Pool
|
|
|
|
type columnsSorter struct {
|
|
columns []column
|
|
}
|
|
|
|
func (cs *columnsSorter) reset() {
|
|
cs.columns = nil
|
|
}
|
|
|
|
func (cs *columnsSorter) Len() int {
|
|
return len(cs.columns)
|
|
}
|
|
|
|
func (cs *columnsSorter) Less(i, j int) bool {
|
|
columns := cs.columns
|
|
return columns[i].name < columns[j].name
|
|
}
|
|
|
|
func (cs *columnsSorter) Swap(i, j int) {
|
|
columns := cs.columns
|
|
columns[i], columns[j] = columns[j], columns[i]
|
|
}
|
|
|
|
func getColumnsSorter() *columnsSorter {
|
|
v := columnsSorterPool.Get()
|
|
if v == nil {
|
|
return &columnsSorter{}
|
|
}
|
|
return v.(*columnsSorter)
|
|
}
|
|
|
|
func putColumnsSorter(cs *columnsSorter) {
|
|
cs.reset()
|
|
columnsSorterPool.Put(cs)
|
|
}
|
|
|
|
var columnsSorterPool sync.Pool
|
|
|
|
type constColumnsSorter struct {
|
|
columns []Field
|
|
}
|
|
|
|
func (ccs *constColumnsSorter) reset() {
|
|
ccs.columns = nil
|
|
}
|
|
|
|
func (ccs *constColumnsSorter) Len() int {
|
|
return len(ccs.columns)
|
|
}
|
|
|
|
func (ccs *constColumnsSorter) Less(i, j int) bool {
|
|
columns := ccs.columns
|
|
return columns[i].Name < columns[j].Name
|
|
}
|
|
|
|
func (ccs *constColumnsSorter) Swap(i, j int) {
|
|
columns := ccs.columns
|
|
columns[i], columns[j] = columns[j], columns[i]
|
|
}
|
|
|
|
func getConstColumnsSorter() *constColumnsSorter {
|
|
v := constColumnsSorterPool.Get()
|
|
if v == nil {
|
|
return &constColumnsSorter{}
|
|
}
|
|
return v.(*constColumnsSorter)
|
|
}
|
|
|
|
func putConstColumnsSorter(ccs *constColumnsSorter) {
|
|
ccs.reset()
|
|
constColumnsSorterPool.Put(ccs)
|
|
}
|
|
|
|
var constColumnsSorterPool sync.Pool
|
|
|
|
// mustWriteTimestampsTo writes timestamps to sw and updates th accordingly
|
|
func mustWriteTimestampsTo(th *timestampsHeader, timestamps []int64, sw *streamWriters) {
|
|
th.reset()
|
|
|
|
bb := longTermBufPool.Get()
|
|
bb.B, th.marshalType, th.minTimestamp = encoding.MarshalTimestamps(bb.B[:0], timestamps, 64)
|
|
if len(bb.B) > maxTimestampsBlockSize {
|
|
logger.Panicf("BUG: too big block with timestamps: %d bytes; the maximum supported size is %d bytes", len(bb.B), maxTimestampsBlockSize)
|
|
}
|
|
th.maxTimestamp = timestamps[len(timestamps)-1]
|
|
th.blockOffset = sw.timestampsWriter.bytesWritten
|
|
th.blockSize = uint64(len(bb.B))
|
|
sw.timestampsWriter.MustWrite(bb.B)
|
|
longTermBufPool.Put(bb)
|
|
}
|