mirror of
https://github.com/VictoriaMetrics/VictoriaMetrics.git
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3346576a3a
It has been appeared that VictoriaLogs is frequently used for collecting logs with tens of fields. For example, standard Kuberntes setup on top of Filebeat generates more than 20 fields per each log. Such logs are also known as "wide events". The previous storage format was optimized for logs with a few fields. When at least a single field was referenced in the query, then the all the meta-information about all the log fields was unpacked and parsed per each scanned block during the query. This could require a lot of additional disk IO and CPU time when logs contain many fields. Resolve this issue by providing an (field -> metainfo_offset) index per each field in every data block. This index allows reading and extracting only the needed metainfo for fields used in the query. This index is stored in columnsHeaderIndexFilename ( columns_header_index.bin ). This allows increasing performance for queries over wide events by 10x and more. Another issue was that the data for bloom filters and field values across all the log fields except of _msg was intermixed in two files - fieldBloomFilename ( field_bloom.bin ) and fieldValuesFilename ( field_values.bin ). This could result in huge disk read IO overhead when some small field was referred in the query, since the Operating System usually reads more data than requested. It reads the data from disk in at least 4KiB blocks (usually the block size is much bigger in the range 64KiB - 512KiB). So, if 512-byte bloom filter or values' block is read from the file, then the Operating System reads up to 512KiB of data from disk, which results in 1000x disk read IO overhead. This overhead isn't visible for recently accessed data, since this data is usually stored in RAM (aka Operating System page cache), but this overhead may become very annoying when performing the query over large volumes of data which isn't present in OS page cache. The solution for this issue is to split bloom filters and field values across multiple shards. This reduces the worst-case disk read IO overhead by at least Nx where N is the number of shards, while the disk read IO overhead is completely removed in best case when the number of columns doesn't exceed N. Currently the number of shards is 8 - see bloomValuesShardsCount . This solution increases performance for queries over large volumes of newly ingested data by up to 1000x. The new storage format is versioned as v1, while the old storage format is version as v0. It is stored in the partHeader.FormatVersion. Parts with the old storage format are converted into parts with the new storage format during background merge. It is possible to force merge by querying /internal/force_merge HTTP endpoint - see https://docs.victoriametrics.com/victorialogs/#forced-merge .
445 lines
14 KiB
Go
445 lines
14 KiB
Go
package logstorage
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import (
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"path/filepath"
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"sync"
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"github.com/cespare/xxhash/v2"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/bytesutil"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/filestream"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/fs"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/logger"
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)
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// writerWithStats writes data to w and tracks the total amounts of data written at bytesWritten.
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type writerWithStats struct {
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w filestream.WriteCloser
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bytesWritten uint64
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}
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func (w *writerWithStats) reset() {
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w.w = nil
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w.bytesWritten = 0
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}
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func (w *writerWithStats) init(wc filestream.WriteCloser) {
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w.reset()
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w.w = wc
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}
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func (w *writerWithStats) Path() string {
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return w.w.Path()
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}
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func (w *writerWithStats) MustWrite(data []byte) {
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fs.MustWriteData(w.w, data)
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w.bytesWritten += uint64(len(data))
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}
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// MustClose closes the underlying w.
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func (w *writerWithStats) MustClose() {
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w.w.MustClose()
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}
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// streamWriters contain writers for blockStreamWriter
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type streamWriters struct {
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columnNamesWriter writerWithStats
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metaindexWriter writerWithStats
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indexWriter writerWithStats
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columnsHeaderIndexWriter writerWithStats
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columnsHeaderWriter writerWithStats
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timestampsWriter writerWithStats
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messageBloomValuesWriter bloomValuesWriter
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bloomValuesShards [bloomValuesShardsCount]bloomValuesWriter
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}
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type bloomValuesWriter struct {
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bloom writerWithStats
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values writerWithStats
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}
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func (w *bloomValuesWriter) reset() {
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w.bloom.reset()
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w.values.reset()
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}
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func (w *bloomValuesWriter) init(sw bloomValuesStreamWriter) {
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w.bloom.init(sw.bloom)
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w.values.init(sw.values)
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}
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func (w *bloomValuesWriter) totalBytesWritten() uint64 {
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return w.bloom.bytesWritten + w.values.bytesWritten
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}
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func (w *bloomValuesWriter) MustClose() {
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w.bloom.MustClose()
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w.values.MustClose()
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}
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type bloomValuesStreamWriter struct {
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bloom filestream.WriteCloser
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values filestream.WriteCloser
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}
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func (sw *streamWriters) reset() {
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sw.columnNamesWriter.reset()
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sw.metaindexWriter.reset()
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sw.indexWriter.reset()
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sw.columnsHeaderIndexWriter.reset()
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sw.columnsHeaderWriter.reset()
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sw.timestampsWriter.reset()
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sw.messageBloomValuesWriter.reset()
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for i := range sw.bloomValuesShards[:] {
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sw.bloomValuesShards[i].reset()
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}
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}
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func (sw *streamWriters) init(columnNamesWriter, metaindexWriter, indexWriter, columnsHeaderIndexWriter, columnsHeaderWriter, timestampsWriter filestream.WriteCloser,
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messageBloomValuesWriter bloomValuesStreamWriter, bloomValuesShards [bloomValuesShardsCount]bloomValuesStreamWriter,
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) {
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sw.columnNamesWriter.init(columnNamesWriter)
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sw.metaindexWriter.init(metaindexWriter)
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sw.indexWriter.init(indexWriter)
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sw.columnsHeaderIndexWriter.init(columnsHeaderIndexWriter)
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sw.columnsHeaderWriter.init(columnsHeaderWriter)
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sw.timestampsWriter.init(timestampsWriter)
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sw.messageBloomValuesWriter.init(messageBloomValuesWriter)
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for i := range sw.bloomValuesShards[:] {
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sw.bloomValuesShards[i].init(bloomValuesShards[i])
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}
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}
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func (sw *streamWriters) totalBytesWritten() uint64 {
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n := uint64(0)
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n += sw.columnNamesWriter.bytesWritten
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n += sw.metaindexWriter.bytesWritten
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n += sw.indexWriter.bytesWritten
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n += sw.columnsHeaderIndexWriter.bytesWritten
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n += sw.columnsHeaderWriter.bytesWritten
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n += sw.timestampsWriter.bytesWritten
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n += sw.messageBloomValuesWriter.totalBytesWritten()
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for i := range sw.bloomValuesShards[:] {
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n += sw.bloomValuesShards[i].totalBytesWritten()
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}
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return n
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}
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func (sw *streamWriters) MustClose() {
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sw.columnNamesWriter.MustClose()
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sw.metaindexWriter.MustClose()
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sw.indexWriter.MustClose()
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sw.columnsHeaderIndexWriter.MustClose()
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sw.columnsHeaderWriter.MustClose()
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sw.timestampsWriter.MustClose()
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sw.messageBloomValuesWriter.MustClose()
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for i := range sw.bloomValuesShards[:] {
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sw.bloomValuesShards[i].MustClose()
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}
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}
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func (sw *streamWriters) getBloomValuesWriterForColumnName(name string) *bloomValuesWriter {
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if name == "" {
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return &sw.messageBloomValuesWriter
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}
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h := xxhash.Sum64(bytesutil.ToUnsafeBytes(name))
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idx := h % uint64(len(sw.bloomValuesShards))
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return &sw.bloomValuesShards[idx]
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}
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// blockStreamWriter is used for writing blocks into the underlying storage in streaming manner.
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type blockStreamWriter struct {
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// streamWriters contains writer for block data
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streamWriters streamWriters
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// sidLast is the streamID for the last written block
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sidLast streamID
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// sidFirst is the streamID for the first block in the current indexBlock
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sidFirst streamID
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// minTimestampLast is the minimum timestamp seen for the last written block
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minTimestampLast int64
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// minTimestamp is the minimum timestamp seen across written blocks for the current indexBlock
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minTimestamp int64
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// maxTimestamp is the maximum timestamp seen across written blocks for the current indexBlock
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maxTimestamp int64
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// hasWrittenBlocks is set to true if at least a single block is written to the current indexBlock
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hasWrittenBlocks bool
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// globalUncompressedSizeBytes is the total size of all the log entries written via bsw
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globalUncompressedSizeBytes uint64
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// globalRowsCount is the total number of log entries written via bsw
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globalRowsCount uint64
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// globalBlocksCount is the total number of blocks written to bsw
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globalBlocksCount uint64
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// globalMinTimestamp is the minimum timestamp seen across all the blocks written to bsw
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globalMinTimestamp int64
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// globalMaxTimestamp is the maximum timestamp seen across all the blocks written to bsw
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globalMaxTimestamp int64
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// indexBlockData contains marshaled blockHeader data, which isn't written yet to indexFilename
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indexBlockData []byte
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// metaindexData contains marshaled indexBlockHeader data, which isn't written yet to metaindexFilename
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metaindexData []byte
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// indexBlockHeader is used for marshaling the data to metaindexData
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indexBlockHeader indexBlockHeader
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// columnNameIDGenerator is used for generating columnName->id mapping for all the columns seen in bsw
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columnNameIDGenerator columnNameIDGenerator
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}
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// reset resets bsw for subsequent re-use.
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func (bsw *blockStreamWriter) reset() {
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bsw.streamWriters.reset()
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bsw.sidLast.reset()
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bsw.sidFirst.reset()
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bsw.minTimestampLast = 0
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bsw.minTimestamp = 0
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bsw.maxTimestamp = 0
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bsw.hasWrittenBlocks = false
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bsw.globalUncompressedSizeBytes = 0
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bsw.globalRowsCount = 0
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bsw.globalBlocksCount = 0
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bsw.globalMinTimestamp = 0
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bsw.globalMaxTimestamp = 0
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bsw.indexBlockData = bsw.indexBlockData[:0]
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if len(bsw.metaindexData) > 1024*1024 {
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// The length of bsw.metaindexData is unbound, so drop too long buffer
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// in order to conserve memory.
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bsw.metaindexData = nil
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} else {
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bsw.metaindexData = bsw.metaindexData[:0]
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}
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bsw.indexBlockHeader.reset()
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bsw.columnNameIDGenerator.reset()
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}
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// MustInitForInmemoryPart initializes bsw from mp
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func (bsw *blockStreamWriter) MustInitForInmemoryPart(mp *inmemoryPart) {
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bsw.reset()
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messageBloomValues := mp.messageBloomValues.NewStreamWriter()
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var bloomValuesShards [bloomValuesShardsCount]bloomValuesStreamWriter
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for i := range bloomValuesShards[:] {
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bloomValuesShards[i] = mp.bloomValuesShards[i].NewStreamWriter()
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}
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bsw.streamWriters.init(&mp.columnNames, &mp.metaindex, &mp.index, &mp.columnsHeaderIndex, &mp.columnsHeader, &mp.timestamps, messageBloomValues, bloomValuesShards)
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}
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// MustInitForFilePart initializes bsw for writing data to file part located at path.
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//
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// if nocache is true, then the written data doesn't go to OS page cache.
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func (bsw *blockStreamWriter) MustInitForFilePart(path string, nocache bool) {
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bsw.reset()
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fs.MustMkdirFailIfExist(path)
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columnNamesPath := filepath.Join(path, columnNamesFilename)
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metaindexPath := filepath.Join(path, metaindexFilename)
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indexPath := filepath.Join(path, indexFilename)
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columnsHeaderIndexPath := filepath.Join(path, columnsHeaderIndexFilename)
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columnsHeaderPath := filepath.Join(path, columnsHeaderFilename)
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timestampsPath := filepath.Join(path, timestampsFilename)
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// Always cache columnNames files, since it is re-read immediately after part creation
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columnNamesWriter := filestream.MustCreate(columnNamesPath, false)
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// Always cache metaindex file, since it is re-read immediately after part creation
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metaindexWriter := filestream.MustCreate(metaindexPath, false)
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indexWriter := filestream.MustCreate(indexPath, nocache)
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columnsHeaderIndexWriter := filestream.MustCreate(columnsHeaderIndexPath, nocache)
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columnsHeaderWriter := filestream.MustCreate(columnsHeaderPath, nocache)
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timestampsWriter := filestream.MustCreate(timestampsPath, nocache)
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messageBloomFilterPath := filepath.Join(path, messageBloomFilename)
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messageValuesPath := filepath.Join(path, messageValuesFilename)
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messageBloomValuesWriter := bloomValuesStreamWriter{
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bloom: filestream.MustCreate(messageBloomFilterPath, nocache),
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values: filestream.MustCreate(messageValuesPath, nocache),
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}
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var bloomValuesShards [bloomValuesShardsCount]bloomValuesStreamWriter
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for i := range bloomValuesShards[:] {
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shard := &bloomValuesShards[i]
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bloomPath := getBloomFilePath(path, uint64(i))
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shard.bloom = filestream.MustCreate(bloomPath, nocache)
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valuesPath := getValuesFilePath(path, uint64(i))
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shard.values = filestream.MustCreate(valuesPath, nocache)
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}
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bsw.streamWriters.init(columnNamesWriter, metaindexWriter, indexWriter, columnsHeaderIndexWriter, columnsHeaderWriter, timestampsWriter, messageBloomValuesWriter, bloomValuesShards)
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}
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// MustWriteRows writes timestamps with rows under the given sid to bsw.
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//
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// timestamps must be sorted.
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// sid must be bigger or equal to the sid for the previously written rs.
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func (bsw *blockStreamWriter) MustWriteRows(sid *streamID, timestamps []int64, rows [][]Field) {
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if len(timestamps) == 0 {
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return
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}
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b := getBlock()
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b.MustInitFromRows(timestamps, rows)
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bsw.MustWriteBlock(sid, b)
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putBlock(b)
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}
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// MustWriteBlockData writes bd to bsw.
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//
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// The bd.streamID must be bigger or equal to the streamID for the previously written blocks.
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func (bsw *blockStreamWriter) MustWriteBlockData(bd *blockData) {
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if bd.rowsCount == 0 {
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return
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}
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bsw.mustWriteBlockInternal(&bd.streamID, nil, bd)
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}
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// MustWriteBlock writes b under the given sid to bsw.
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//
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// The sid must be bigger or equal to the sid for the previously written blocks.
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// The minimum timestamp in b must be bigger or equal to the minimum timestamp written to the same sid.
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func (bsw *blockStreamWriter) MustWriteBlock(sid *streamID, b *block) {
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rowsCount := b.Len()
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if rowsCount == 0 {
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return
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}
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bsw.mustWriteBlockInternal(sid, b, nil)
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}
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func (bsw *blockStreamWriter) mustWriteBlockInternal(sid *streamID, b *block, bd *blockData) {
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if sid.less(&bsw.sidLast) {
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logger.Panicf("BUG: the sid=%s cannot be smaller than the previously written sid=%s", sid, &bsw.sidLast)
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}
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hasWrittenBlocks := bsw.hasWrittenBlocks
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if !hasWrittenBlocks {
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bsw.sidFirst = *sid
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bsw.hasWrittenBlocks = true
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}
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isSeenSid := sid.equal(&bsw.sidLast)
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bsw.sidLast = *sid
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bh := getBlockHeader()
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if b != nil {
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b.mustWriteTo(sid, bh, &bsw.streamWriters, &bsw.columnNameIDGenerator)
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} else {
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bd.mustWriteTo(bh, &bsw.streamWriters, &bsw.columnNameIDGenerator)
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}
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th := &bh.timestampsHeader
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if bsw.globalRowsCount == 0 || th.minTimestamp < bsw.globalMinTimestamp {
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bsw.globalMinTimestamp = th.minTimestamp
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}
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if bsw.globalRowsCount == 0 || th.maxTimestamp > bsw.globalMaxTimestamp {
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bsw.globalMaxTimestamp = th.maxTimestamp
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}
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if !hasWrittenBlocks || th.minTimestamp < bsw.minTimestamp {
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bsw.minTimestamp = th.minTimestamp
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}
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if !hasWrittenBlocks || th.maxTimestamp > bsw.maxTimestamp {
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bsw.maxTimestamp = th.maxTimestamp
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}
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if isSeenSid && th.minTimestamp < bsw.minTimestampLast {
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logger.Panicf("BUG: the block for sid=%s cannot contain timestamp smaller than %d, but it contains timestamp %d", sid, bsw.minTimestampLast, th.minTimestamp)
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}
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bsw.minTimestampLast = th.minTimestamp
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bsw.globalUncompressedSizeBytes += bh.uncompressedSizeBytes
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bsw.globalRowsCount += bh.rowsCount
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bsw.globalBlocksCount++
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// Marshal bh
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bsw.indexBlockData = bh.marshal(bsw.indexBlockData)
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putBlockHeader(bh)
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if len(bsw.indexBlockData) > maxUncompressedIndexBlockSize {
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bsw.mustFlushIndexBlock(bsw.indexBlockData)
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bsw.indexBlockData = bsw.indexBlockData[:0]
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}
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}
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func (bsw *blockStreamWriter) mustFlushIndexBlock(data []byte) {
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if len(data) > 0 {
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bsw.indexBlockHeader.mustWriteIndexBlock(data, bsw.sidFirst, bsw.minTimestamp, bsw.maxTimestamp, &bsw.streamWriters)
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bsw.metaindexData = bsw.indexBlockHeader.marshal(bsw.metaindexData)
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}
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bsw.hasWrittenBlocks = false
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bsw.minTimestamp = 0
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bsw.maxTimestamp = 0
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bsw.sidFirst.reset()
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}
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// Finalize() finalizes the data write process and updates ph with the finalized stats
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//
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// It closes the writers passed to MustInit().
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//
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// bsw can be re-used after calling Finalize().
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func (bsw *blockStreamWriter) Finalize(ph *partHeader) {
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ph.FormatVersion = partFormatLatestVersion
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ph.UncompressedSizeBytes = bsw.globalUncompressedSizeBytes
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ph.RowsCount = bsw.globalRowsCount
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ph.BlocksCount = bsw.globalBlocksCount
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ph.MinTimestamp = bsw.globalMinTimestamp
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ph.MaxTimestamp = bsw.globalMaxTimestamp
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bsw.mustFlushIndexBlock(bsw.indexBlockData)
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// Write columnNames data
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mustWriteColumnNames(&bsw.streamWriters.columnNamesWriter, bsw.columnNameIDGenerator.columnNames)
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// Write metaindex data
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mustWriteIndexBlockHeaders(&bsw.streamWriters.metaindexWriter, bsw.metaindexData)
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ph.CompressedSizeBytes = bsw.streamWriters.totalBytesWritten()
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bsw.streamWriters.MustClose()
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bsw.reset()
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}
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var longTermBufPool bytesutil.ByteBufferPool
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// getBlockStreamWriter returns new blockStreamWriter from the pool.
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//
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// Return back the blockStreamWriter to the pool when it is no longer needed by calling putBlockStreamWriter.
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func getBlockStreamWriter() *blockStreamWriter {
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v := blockStreamWriterPool.Get()
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if v == nil {
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return &blockStreamWriter{}
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}
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return v.(*blockStreamWriter)
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}
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// putBlockStreamWriter returns bsw to the pool.
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func putBlockStreamWriter(bsw *blockStreamWriter) {
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bsw.reset()
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blockStreamWriterPool.Put(bsw)
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}
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var blockStreamWriterPool sync.Pool
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