prometheus/tsdb/chunks/head_chunks.go

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// Copyright 2020 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package chunks
import (
"bufio"
"bytes"
"encoding/binary"
"hash"
"io"
"io/ioutil"
"os"
"path/filepath"
"sort"
"strconv"
"sync"
"github.com/pkg/errors"
"go.uber.org/atomic"
"github.com/prometheus/prometheus/tsdb/chunkenc"
tsdb_errors "github.com/prometheus/prometheus/tsdb/errors"
"github.com/prometheus/prometheus/tsdb/fileutil"
)
// Head chunk file header fields constants.
const (
// MagicHeadChunks is 4 bytes at the beginning of a head chunk file.
MagicHeadChunks = 0x0130BC91
headChunksFormatV1 = 1
)
var (
// ErrChunkDiskMapperClosed returned by any method indicates
// that the ChunkDiskMapper was closed.
ErrChunkDiskMapperClosed = errors.New("ChunkDiskMapper closed")
)
const (
// MintMaxtSize is the size of the mint/maxt for head chunk file and chunks.
MintMaxtSize = 8
// SeriesRefSize is the size of series reference on disk.
SeriesRefSize = 8
// HeadChunkFileHeaderSize is the total size of the header for the head chunk file.
HeadChunkFileHeaderSize = SegmentHeaderSize
// MaxHeadChunkFileSize is the max size of a head chunk file.
MaxHeadChunkFileSize = 128 * 1024 * 1024 // 128 MiB.
// CRCSize is the size of crc32 sum on disk.
CRCSize = 4
// MaxHeadChunkMetaSize is the max size of an mmapped chunks minus the chunks data.
// Max because the uvarint size can be smaller.
MaxHeadChunkMetaSize = SeriesRefSize + 2*MintMaxtSize + ChunksFormatVersionSize + MaxChunkLengthFieldSize + CRCSize
// MinWriteBufferSize is the minimum write buffer size allowed.
MinWriteBufferSize = 64 * 1024 // 64KB.
// MaxWriteBufferSize is the maximum write buffer size allowed.
MaxWriteBufferSize = 8 * 1024 * 1024 // 8 MiB.
// DefaultWriteBufferSize is the default write buffer size.
DefaultWriteBufferSize = 4 * 1024 * 1024 // 4 MiB.
)
// corruptionErr is an error that's returned when corruption is encountered.
M-map full chunks of Head from disk (#6679) When appending to the head and a chunk is full it is flushed to the disk and m-mapped (memory mapped) to free up memory Prom startup now happens in these stages - Iterate the m-maped chunks from disk and keep a map of series reference to its slice of mmapped chunks. - Iterate the WAL as usual. Whenever we create a new series, look for it's mmapped chunks in the map created before and add it to that series. If a head chunk is corrupted the currpted one and all chunks after that are deleted and the data after the corruption is recovered from the existing WAL which means that a corruption in m-mapped files results in NO data loss. [Mmaped chunks format](https://github.com/prometheus/prometheus/blob/master/tsdb/docs/format/head_chunks.md) - main difference is that the chunk for mmaping now also includes series reference because there is no index for mapping series to chunks. [The block chunks](https://github.com/prometheus/prometheus/blob/master/tsdb/docs/format/chunks.md) are accessed from the index which includes the offsets for the chunks in the chunks file - example - chunks of series ID have offsets 200, 500 etc in the chunk files. In case of mmaped chunks, the offsets are stored in memory and accessed from that. During WAL replay, these offsets are restored by iterating all m-mapped chunks as stated above by matching the series id present in the chunk header and offset of that chunk in that file. **Prombench results** _WAL Replay_ 1h Wal reply time 30% less wal reply time - 4m31 vs 3m36 2h Wal reply time 20% less wal reply time - 8m16 vs 7m _Memory During WAL Replay_ High Churn: 10-15% less RAM - 32gb vs 28gb 20% less RAM after compaction 34gb vs 27gb No Churn: 20-30% less RAM - 23gb vs 18gb 40% less RAM after compaction 32.5gb vs 20gb Screenshots are in [this comment](https://github.com/prometheus/prometheus/pull/6679#issuecomment-621678932) Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in>
2020-05-06 08:30:00 -07:00
type CorruptionErr struct {
Dir string
FileIndex int
Err error
}
M-map full chunks of Head from disk (#6679) When appending to the head and a chunk is full it is flushed to the disk and m-mapped (memory mapped) to free up memory Prom startup now happens in these stages - Iterate the m-maped chunks from disk and keep a map of series reference to its slice of mmapped chunks. - Iterate the WAL as usual. Whenever we create a new series, look for it's mmapped chunks in the map created before and add it to that series. If a head chunk is corrupted the currpted one and all chunks after that are deleted and the data after the corruption is recovered from the existing WAL which means that a corruption in m-mapped files results in NO data loss. [Mmaped chunks format](https://github.com/prometheus/prometheus/blob/master/tsdb/docs/format/head_chunks.md) - main difference is that the chunk for mmaping now also includes series reference because there is no index for mapping series to chunks. [The block chunks](https://github.com/prometheus/prometheus/blob/master/tsdb/docs/format/chunks.md) are accessed from the index which includes the offsets for the chunks in the chunks file - example - chunks of series ID have offsets 200, 500 etc in the chunk files. In case of mmaped chunks, the offsets are stored in memory and accessed from that. During WAL replay, these offsets are restored by iterating all m-mapped chunks as stated above by matching the series id present in the chunk header and offset of that chunk in that file. **Prombench results** _WAL Replay_ 1h Wal reply time 30% less wal reply time - 4m31 vs 3m36 2h Wal reply time 20% less wal reply time - 8m16 vs 7m _Memory During WAL Replay_ High Churn: 10-15% less RAM - 32gb vs 28gb 20% less RAM after compaction 34gb vs 27gb No Churn: 20-30% less RAM - 23gb vs 18gb 40% less RAM after compaction 32.5gb vs 20gb Screenshots are in [this comment](https://github.com/prometheus/prometheus/pull/6679#issuecomment-621678932) Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in>
2020-05-06 08:30:00 -07:00
func (e *CorruptionErr) Error() string {
return errors.Wrapf(e.Err, "corruption in head chunk file %s", segmentFile(e.Dir, e.FileIndex)).Error()
}
// ChunkDiskMapper is for writing the Head block chunks to the disk
// and access chunks via mmapped file.
type ChunkDiskMapper struct {
curFileNumBytes atomic.Int64 // Bytes written in current open file.
/// Writer.
dir *os.File
writeBufferSize int
curFile *os.File // File being written to.
curFileSequence int // Index of current open file being appended to.
curFileMaxt int64 // Used for the size retention.
byteBuf [MaxHeadChunkMetaSize]byte // Buffer used to write the header of the chunk.
chkWriter *bufio.Writer // Writer for the current open file.
crc32 hash.Hash
writePathMtx sync.Mutex
/// Reader.
// The int key in the map is the file number on the disk.
mmappedChunkFiles map[int]*mmappedChunkFile // Contains the m-mapped files for each chunk file mapped with its index.
closers map[int]io.Closer // Closers for resources behind the byte slices.
readPathMtx sync.RWMutex // Mutex used to protect the above 2 maps.
pool chunkenc.Pool // This is used when fetching a chunk from the disk to allocate a chunk.
// Writer and Reader.
// We flush chunks to disk in batches. Hence, we store them in this buffer
// from which chunks are served till they are flushed and are ready for m-mapping.
chunkBuffer *chunkBuffer
// If 'true', it indicated that the maxt of all the on-disk files were set
// after iterating through all the chunks in those files.
fileMaxtSet bool
closed bool
}
type mmappedChunkFile struct {
byteSlice ByteSlice
maxt int64
}
// NewChunkDiskMapper returns a new writer against the given directory
// using the default head chunk file duration.
// NOTE: 'IterateAllChunks' method needs to be called at least once after creating ChunkDiskMapper
// to set the maxt of all the file.
func NewChunkDiskMapper(dir string, pool chunkenc.Pool, writeBufferSize int) (*ChunkDiskMapper, error) {
// Validate write buffer size.
if writeBufferSize < MinWriteBufferSize || writeBufferSize > MaxWriteBufferSize {
return nil, errors.Errorf("ChunkDiskMapper write buffer size should be between %d and %d (actual: %d)", MinWriteBufferSize, MaxHeadChunkFileSize, writeBufferSize)
}
if writeBufferSize%1024 != 0 {
return nil, errors.Errorf("ChunkDiskMapper write buffer size should be a multiple of 1024 (actual: %d)", writeBufferSize)
}
if err := os.MkdirAll(dir, 0777); err != nil {
return nil, err
}
dirFile, err := fileutil.OpenDir(dir)
if err != nil {
return nil, err
}
m := &ChunkDiskMapper{
dir: dirFile,
pool: pool,
writeBufferSize: writeBufferSize,
crc32: newCRC32(),
chunkBuffer: newChunkBuffer(),
}
if m.pool == nil {
m.pool = chunkenc.NewPool()
}
return m, m.openMMapFiles()
}
func (cdm *ChunkDiskMapper) openMMapFiles() (returnErr error) {
cdm.mmappedChunkFiles = map[int]*mmappedChunkFile{}
cdm.closers = map[int]io.Closer{}
defer func() {
if returnErr != nil {
returnErr = tsdb_errors.NewMulti(returnErr, closeAllFromMap(cdm.closers)).Err()
cdm.mmappedChunkFiles = nil
cdm.closers = nil
}
}()
files, err := listChunkFiles(cdm.dir.Name())
if err != nil {
return err
}
files, err = repairLastChunkFile(files)
if err != nil {
return err
}
chkFileIndices := make([]int, 0, len(files))
for seq, fn := range files {
f, err := fileutil.OpenMmapFile(fn)
if err != nil {
return errors.Wrapf(err, "mmap files, file: %s", fn)
}
cdm.closers[seq] = f
cdm.mmappedChunkFiles[seq] = &mmappedChunkFile{byteSlice: realByteSlice(f.Bytes())}
chkFileIndices = append(chkFileIndices, seq)
}
// Check for gaps in the files.
sort.Ints(chkFileIndices)
if len(chkFileIndices) == 0 {
return nil
}
lastSeq := chkFileIndices[0]
for _, seq := range chkFileIndices[1:] {
if seq != lastSeq+1 {
return errors.Errorf("found unsequential head chunk files %s (index: %d) and %s (index: %d)", files[lastSeq], lastSeq, files[seq], seq)
}
lastSeq = seq
}
for i, b := range cdm.mmappedChunkFiles {
if b.byteSlice.Len() < HeadChunkFileHeaderSize {
return errors.Wrapf(errInvalidSize, "%s: invalid head chunk file header", files[i])
}
// Verify magic number.
if m := binary.BigEndian.Uint32(b.byteSlice.Range(0, MagicChunksSize)); m != MagicHeadChunks {
return errors.Errorf("%s: invalid magic number %x", files[i], m)
}
// Verify chunk format version.
if v := int(b.byteSlice.Range(MagicChunksSize, MagicChunksSize+ChunksFormatVersionSize)[0]); v != chunksFormatV1 {
return errors.Errorf("%s: invalid chunk format version %d", files[i], v)
}
}
return nil
}
func listChunkFiles(dir string) (map[int]string, error) {
files, err := ioutil.ReadDir(dir)
if err != nil {
return nil, err
}
res := map[int]string{}
for _, fi := range files {
seq, err := strconv.ParseUint(fi.Name(), 10, 64)
if err != nil {
continue
}
res[int(seq)] = filepath.Join(dir, fi.Name())
}
return res, nil
}
// repairLastChunkFile deletes the last file if it's empty.
// Because we don't fsync when creating these file, we could end
// up with an empty file at the end during an abrupt shutdown.
func repairLastChunkFile(files map[int]string) (_ map[int]string, returnErr error) {
lastFile := -1
for seq := range files {
if seq > lastFile {
lastFile = seq
}
}
if lastFile <= 0 {
return files, nil
}
info, err := os.Stat(files[lastFile])
if err != nil {
return files, errors.Wrap(err, "file stat during last head chunk file repair")
}
if info.Size() == 0 {
// Corrupt file, hence remove it.
if err := os.RemoveAll(files[lastFile]); err != nil {
return files, errors.Wrap(err, "delete corrupted, empty head chunk file during last file repair")
}
delete(files, lastFile)
}
return files, nil
}
// WriteChunk writes the chunk to the disk.
// The returned chunk ref is the reference from where the chunk encoding starts for the chunk.
func (cdm *ChunkDiskMapper) WriteChunk(seriesRef uint64, mint, maxt int64, chk chunkenc.Chunk) (chkRef uint64, err error) {
cdm.writePathMtx.Lock()
defer cdm.writePathMtx.Unlock()
if cdm.closed {
return 0, ErrChunkDiskMapperClosed
}
if cdm.shouldCutNewFile(len(chk.Bytes())) {
if err := cdm.cut(); err != nil {
return 0, err
}
}
// if len(chk.Bytes())+MaxHeadChunkMetaSize >= writeBufferSize, it means that chunk >= the buffer size;
// so no need to flush here, as we have to flush at the end (to not keep partial chunks in buffer).
if len(chk.Bytes())+MaxHeadChunkMetaSize < cdm.writeBufferSize && cdm.chkWriter.Available() < MaxHeadChunkMetaSize+len(chk.Bytes()) {
if err := cdm.flushBuffer(); err != nil {
return 0, err
}
}
cdm.crc32.Reset()
bytesWritten := 0
// The upper 4 bytes are for the head chunk file index and
// the lower 4 bytes are for the head chunk file offset where to start reading this chunk.
chkRef = chunkRef(uint64(cdm.curFileSequence), uint64(cdm.curFileSize()))
binary.BigEndian.PutUint64(cdm.byteBuf[bytesWritten:], seriesRef)
bytesWritten += SeriesRefSize
binary.BigEndian.PutUint64(cdm.byteBuf[bytesWritten:], uint64(mint))
bytesWritten += MintMaxtSize
binary.BigEndian.PutUint64(cdm.byteBuf[bytesWritten:], uint64(maxt))
bytesWritten += MintMaxtSize
cdm.byteBuf[bytesWritten] = byte(chk.Encoding())
bytesWritten += ChunkEncodingSize
n := binary.PutUvarint(cdm.byteBuf[bytesWritten:], uint64(len(chk.Bytes())))
bytesWritten += n
if err := cdm.writeAndAppendToCRC32(cdm.byteBuf[:bytesWritten]); err != nil {
return 0, err
}
if err := cdm.writeAndAppendToCRC32(chk.Bytes()); err != nil {
return 0, err
}
if err := cdm.writeCRC32(); err != nil {
return 0, err
}
if maxt > cdm.curFileMaxt {
cdm.curFileMaxt = maxt
}
cdm.chunkBuffer.put(chkRef, chk)
if len(chk.Bytes())+MaxHeadChunkMetaSize >= cdm.writeBufferSize {
// The chunk was bigger than the buffer itself.
// Flushing to not keep partial chunks in buffer.
if err := cdm.flushBuffer(); err != nil {
return 0, err
}
}
return chkRef, nil
}
func chunkRef(seq, offset uint64) (chunkRef uint64) {
return (seq << 32) | offset
}
// shouldCutNewFile decides the cutting of a new file based on time and size retention.
// Size retention: because depending on the system architecture, there is a limit on how big of a file we can m-map.
// Time retention: so that we can delete old chunks with some time guarantee in low load environments.
func (cdm *ChunkDiskMapper) shouldCutNewFile(chunkSize int) bool {
return cdm.curFileSize() == 0 || // First head chunk file.
cdm.curFileSize()+int64(chunkSize+MaxHeadChunkMetaSize) > MaxHeadChunkFileSize // Exceeds the max head chunk file size.
}
// CutNewFile creates a new m-mapped file.
func (cdm *ChunkDiskMapper) CutNewFile() (returnErr error) {
cdm.writePathMtx.Lock()
defer cdm.writePathMtx.Unlock()
return cdm.cut()
}
// cut creates a new m-mapped file. The write lock should be held before calling this.
func (cdm *ChunkDiskMapper) cut() (returnErr error) {
// Sync current tail to disk and close.
if err := cdm.finalizeCurFile(); err != nil {
return err
}
n, newFile, seq, err := cutSegmentFile(cdm.dir, MagicHeadChunks, headChunksFormatV1, HeadChunkFilePreallocationSize)
if err != nil {
return err
}
defer func() {
// The file should not be closed if there is no error,
// its kept open in the ChunkDiskMapper.
if returnErr != nil {
returnErr = tsdb_errors.NewMulti(returnErr, newFile.Close()).Err()
}
}()
cdm.curFileNumBytes.Store(int64(n))
if cdm.curFile != nil {
cdm.readPathMtx.Lock()
cdm.mmappedChunkFiles[cdm.curFileSequence].maxt = cdm.curFileMaxt
cdm.readPathMtx.Unlock()
}
mmapFile, err := fileutil.OpenMmapFileWithSize(newFile.Name(), int(MaxHeadChunkFileSize))
if err != nil {
return err
}
cdm.readPathMtx.Lock()
cdm.curFileSequence = seq
cdm.curFile = newFile
if cdm.chkWriter != nil {
cdm.chkWriter.Reset(newFile)
} else {
cdm.chkWriter = bufio.NewWriterSize(newFile, cdm.writeBufferSize)
}
cdm.closers[cdm.curFileSequence] = mmapFile
cdm.mmappedChunkFiles[cdm.curFileSequence] = &mmappedChunkFile{byteSlice: realByteSlice(mmapFile.Bytes())}
cdm.readPathMtx.Unlock()
cdm.curFileMaxt = 0
return nil
}
// finalizeCurFile writes all pending data to the current tail file,
// truncates its size, and closes it.
func (cdm *ChunkDiskMapper) finalizeCurFile() error {
if cdm.curFile == nil {
return nil
}
if err := cdm.flushBuffer(); err != nil {
return err
}
if err := cdm.curFile.Sync(); err != nil {
return err
}
return cdm.curFile.Close()
}
func (cdm *ChunkDiskMapper) write(b []byte) error {
n, err := cdm.chkWriter.Write(b)
cdm.curFileNumBytes.Add(int64(n))
return err
}
func (cdm *ChunkDiskMapper) writeAndAppendToCRC32(b []byte) error {
if err := cdm.write(b); err != nil {
return err
}
_, err := cdm.crc32.Write(b)
return err
}
func (cdm *ChunkDiskMapper) writeCRC32() error {
return cdm.write(cdm.crc32.Sum(cdm.byteBuf[:0]))
}
// flushBuffer flushes the current in-memory chunks.
// Assumes that writePathMtx is _write_ locked before calling this method.
func (cdm *ChunkDiskMapper) flushBuffer() error {
if err := cdm.chkWriter.Flush(); err != nil {
return err
}
cdm.chunkBuffer.clear()
return nil
}
// Chunk returns a chunk from a given reference.
func (cdm *ChunkDiskMapper) Chunk(ref uint64) (chunkenc.Chunk, error) {
cdm.readPathMtx.RLock()
// We hold this read lock for the entire duration because if the Close()
// is called, the data in the byte slice will get corrupted as the mmapped
// file will be closed.
defer cdm.readPathMtx.RUnlock()
var (
// Get the upper 4 bytes.
// These contain the head chunk file index.
sgmIndex = int(ref >> 32)
// Get the lower 4 bytes.
// These contain the head chunk file offset where the chunk starts.
// We skip the series ref and the mint/maxt beforehand.
chkStart = int((ref<<32)>>32) + SeriesRefSize + (2 * MintMaxtSize)
chkCRC32 = newCRC32()
)
if cdm.closed {
return nil, ErrChunkDiskMapperClosed
}
// If it is the current open file, then the chunks can be in the buffer too.
if sgmIndex == cdm.curFileSequence {
chunk := cdm.chunkBuffer.get(ref)
if chunk != nil {
return chunk, nil
}
}
mmapFile, ok := cdm.mmappedChunkFiles[sgmIndex]
if !ok {
if sgmIndex > cdm.curFileSequence {
return nil, &CorruptionErr{
Dir: cdm.dir.Name(),
FileIndex: -1,
Err: errors.Errorf("head chunk file index %d more than current open file", sgmIndex),
}
}
return nil, &CorruptionErr{
Dir: cdm.dir.Name(),
FileIndex: sgmIndex,
Err: errors.New("head chunk file index %d does not exist on disk"),
}
}
if chkStart+MaxChunkLengthFieldSize > mmapFile.byteSlice.Len() {
return nil, &CorruptionErr{
Dir: cdm.dir.Name(),
FileIndex: sgmIndex,
Err: errors.Errorf("head chunk file doesn't include enough bytes to read the chunk size data field - required:%v, available:%v", chkStart+MaxChunkLengthFieldSize, mmapFile.byteSlice.Len()),
}
}
// Encoding.
chkEnc := mmapFile.byteSlice.Range(chkStart, chkStart+ChunkEncodingSize)[0]
// Data length.
// With the minimum chunk length this should never cause us reading
// over the end of the slice.
chkDataLenStart := chkStart + ChunkEncodingSize
c := mmapFile.byteSlice.Range(chkDataLenStart, chkDataLenStart+MaxChunkLengthFieldSize)
chkDataLen, n := binary.Uvarint(c)
if n <= 0 {
return nil, &CorruptionErr{
Dir: cdm.dir.Name(),
FileIndex: sgmIndex,
Err: errors.Errorf("reading chunk length failed with %d", n),
}
}
// Verify the chunk data end.
chkDataEnd := chkDataLenStart + n + int(chkDataLen)
if chkDataEnd > mmapFile.byteSlice.Len() {
return nil, &CorruptionErr{
Dir: cdm.dir.Name(),
FileIndex: sgmIndex,
Err: errors.Errorf("head chunk file doesn't include enough bytes to read the chunk - required:%v, available:%v", chkDataEnd, mmapFile.byteSlice.Len()),
}
}
// Check the CRC.
sum := mmapFile.byteSlice.Range(chkDataEnd, chkDataEnd+CRCSize)
if _, err := chkCRC32.Write(mmapFile.byteSlice.Range(chkStart-(SeriesRefSize+2*MintMaxtSize), chkDataEnd)); err != nil {
return nil, &CorruptionErr{
Dir: cdm.dir.Name(),
FileIndex: sgmIndex,
Err: err,
}
}
if act := chkCRC32.Sum(nil); !bytes.Equal(act, sum) {
return nil, &CorruptionErr{
Dir: cdm.dir.Name(),
FileIndex: sgmIndex,
Err: errors.Errorf("checksum mismatch expected:%x, actual:%x", sum, act),
}
}
// The chunk data itself.
chkData := mmapFile.byteSlice.Range(chkDataEnd-int(chkDataLen), chkDataEnd)
chk, err := cdm.pool.Get(chunkenc.Encoding(chkEnc), chkData)
if err != nil {
return nil, &CorruptionErr{
Dir: cdm.dir.Name(),
FileIndex: sgmIndex,
Err: err,
}
}
return chk, nil
}
// IterateAllChunks iterates on all the chunks in its byte slices in the order of the head chunk file sequence
// and runs the provided function on each chunk. It returns on the first error encountered.
// NOTE: This method needs to be called at least once after creating ChunkDiskMapper
// to set the maxt of all the file.
M-map full chunks of Head from disk (#6679) When appending to the head and a chunk is full it is flushed to the disk and m-mapped (memory mapped) to free up memory Prom startup now happens in these stages - Iterate the m-maped chunks from disk and keep a map of series reference to its slice of mmapped chunks. - Iterate the WAL as usual. Whenever we create a new series, look for it's mmapped chunks in the map created before and add it to that series. If a head chunk is corrupted the currpted one and all chunks after that are deleted and the data after the corruption is recovered from the existing WAL which means that a corruption in m-mapped files results in NO data loss. [Mmaped chunks format](https://github.com/prometheus/prometheus/blob/master/tsdb/docs/format/head_chunks.md) - main difference is that the chunk for mmaping now also includes series reference because there is no index for mapping series to chunks. [The block chunks](https://github.com/prometheus/prometheus/blob/master/tsdb/docs/format/chunks.md) are accessed from the index which includes the offsets for the chunks in the chunks file - example - chunks of series ID have offsets 200, 500 etc in the chunk files. In case of mmaped chunks, the offsets are stored in memory and accessed from that. During WAL replay, these offsets are restored by iterating all m-mapped chunks as stated above by matching the series id present in the chunk header and offset of that chunk in that file. **Prombench results** _WAL Replay_ 1h Wal reply time 30% less wal reply time - 4m31 vs 3m36 2h Wal reply time 20% less wal reply time - 8m16 vs 7m _Memory During WAL Replay_ High Churn: 10-15% less RAM - 32gb vs 28gb 20% less RAM after compaction 34gb vs 27gb No Churn: 20-30% less RAM - 23gb vs 18gb 40% less RAM after compaction 32.5gb vs 20gb Screenshots are in [this comment](https://github.com/prometheus/prometheus/pull/6679#issuecomment-621678932) Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in>
2020-05-06 08:30:00 -07:00
func (cdm *ChunkDiskMapper) IterateAllChunks(f func(seriesRef, chunkRef uint64, mint, maxt int64, numSamples uint16) error) (err error) {
cdm.writePathMtx.Lock()
defer cdm.writePathMtx.Unlock()
defer func() {
cdm.fileMaxtSet = true
}()
chkCRC32 := newCRC32()
// Iterate files in ascending order.
segIDs := make([]int, 0, len(cdm.mmappedChunkFiles))
for seg := range cdm.mmappedChunkFiles {
segIDs = append(segIDs, seg)
}
sort.Ints(segIDs)
for _, segID := range segIDs {
mmapFile := cdm.mmappedChunkFiles[segID]
fileEnd := mmapFile.byteSlice.Len()
if segID == cdm.curFileSequence {
fileEnd = int(cdm.curFileSize())
}
idx := HeadChunkFileHeaderSize
for idx < fileEnd {
if fileEnd-idx < MaxHeadChunkMetaSize {
// Check for all 0s which marks the end of the file.
allZeros := true
for _, b := range mmapFile.byteSlice.Range(idx, fileEnd) {
if b != byte(0) {
allZeros = false
break
}
}
if allZeros {
break
}
M-map full chunks of Head from disk (#6679) When appending to the head and a chunk is full it is flushed to the disk and m-mapped (memory mapped) to free up memory Prom startup now happens in these stages - Iterate the m-maped chunks from disk and keep a map of series reference to its slice of mmapped chunks. - Iterate the WAL as usual. Whenever we create a new series, look for it's mmapped chunks in the map created before and add it to that series. If a head chunk is corrupted the currpted one and all chunks after that are deleted and the data after the corruption is recovered from the existing WAL which means that a corruption in m-mapped files results in NO data loss. [Mmaped chunks format](https://github.com/prometheus/prometheus/blob/master/tsdb/docs/format/head_chunks.md) - main difference is that the chunk for mmaping now also includes series reference because there is no index for mapping series to chunks. [The block chunks](https://github.com/prometheus/prometheus/blob/master/tsdb/docs/format/chunks.md) are accessed from the index which includes the offsets for the chunks in the chunks file - example - chunks of series ID have offsets 200, 500 etc in the chunk files. In case of mmaped chunks, the offsets are stored in memory and accessed from that. During WAL replay, these offsets are restored by iterating all m-mapped chunks as stated above by matching the series id present in the chunk header and offset of that chunk in that file. **Prombench results** _WAL Replay_ 1h Wal reply time 30% less wal reply time - 4m31 vs 3m36 2h Wal reply time 20% less wal reply time - 8m16 vs 7m _Memory During WAL Replay_ High Churn: 10-15% less RAM - 32gb vs 28gb 20% less RAM after compaction 34gb vs 27gb No Churn: 20-30% less RAM - 23gb vs 18gb 40% less RAM after compaction 32.5gb vs 20gb Screenshots are in [this comment](https://github.com/prometheus/prometheus/pull/6679#issuecomment-621678932) Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in>
2020-05-06 08:30:00 -07:00
return &CorruptionErr{
Dir: cdm.dir.Name(),
FileIndex: segID,
Err: errors.Errorf("head chunk file doesn't include enough bytes to read the chunk header - required:%v, available:%v, file:%d", idx+MaxHeadChunkMetaSize, fileEnd, segID),
}
}
chkCRC32.Reset()
chunkRef := chunkRef(uint64(segID), uint64(idx))
startIdx := idx
seriesRef := binary.BigEndian.Uint64(mmapFile.byteSlice.Range(idx, idx+SeriesRefSize))
idx += SeriesRefSize
mint := int64(binary.BigEndian.Uint64(mmapFile.byteSlice.Range(idx, idx+MintMaxtSize)))
idx += MintMaxtSize
maxt := int64(binary.BigEndian.Uint64(mmapFile.byteSlice.Range(idx, idx+MintMaxtSize)))
idx += MintMaxtSize
// We preallocate file to help with m-mapping (especially windows systems).
// As series ref always starts from 1, we assume it being 0 to be the end of the actual file data.
// We are not considering possible file corruption that can cause it to be 0.
// Additionally we are checking mint and maxt just to be sure.
if seriesRef == 0 && mint == 0 && maxt == 0 {
break
}
idx += ChunkEncodingSize // Skip encoding.
dataLen, n := binary.Uvarint(mmapFile.byteSlice.Range(idx, idx+MaxChunkLengthFieldSize))
M-map full chunks of Head from disk (#6679) When appending to the head and a chunk is full it is flushed to the disk and m-mapped (memory mapped) to free up memory Prom startup now happens in these stages - Iterate the m-maped chunks from disk and keep a map of series reference to its slice of mmapped chunks. - Iterate the WAL as usual. Whenever we create a new series, look for it's mmapped chunks in the map created before and add it to that series. If a head chunk is corrupted the currpted one and all chunks after that are deleted and the data after the corruption is recovered from the existing WAL which means that a corruption in m-mapped files results in NO data loss. [Mmaped chunks format](https://github.com/prometheus/prometheus/blob/master/tsdb/docs/format/head_chunks.md) - main difference is that the chunk for mmaping now also includes series reference because there is no index for mapping series to chunks. [The block chunks](https://github.com/prometheus/prometheus/blob/master/tsdb/docs/format/chunks.md) are accessed from the index which includes the offsets for the chunks in the chunks file - example - chunks of series ID have offsets 200, 500 etc in the chunk files. In case of mmaped chunks, the offsets are stored in memory and accessed from that. During WAL replay, these offsets are restored by iterating all m-mapped chunks as stated above by matching the series id present in the chunk header and offset of that chunk in that file. **Prombench results** _WAL Replay_ 1h Wal reply time 30% less wal reply time - 4m31 vs 3m36 2h Wal reply time 20% less wal reply time - 8m16 vs 7m _Memory During WAL Replay_ High Churn: 10-15% less RAM - 32gb vs 28gb 20% less RAM after compaction 34gb vs 27gb No Churn: 20-30% less RAM - 23gb vs 18gb 40% less RAM after compaction 32.5gb vs 20gb Screenshots are in [this comment](https://github.com/prometheus/prometheus/pull/6679#issuecomment-621678932) Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in>
2020-05-06 08:30:00 -07:00
idx += n
numSamples := binary.BigEndian.Uint16(mmapFile.byteSlice.Range(idx, idx+2))
idx += int(dataLen) // Skip the data.
// In the beginning we only checked for the chunk meta size.
// Now that we have added the chunk data length, we check for sufficient bytes again.
if idx+CRCSize > fileEnd {
M-map full chunks of Head from disk (#6679) When appending to the head and a chunk is full it is flushed to the disk and m-mapped (memory mapped) to free up memory Prom startup now happens in these stages - Iterate the m-maped chunks from disk and keep a map of series reference to its slice of mmapped chunks. - Iterate the WAL as usual. Whenever we create a new series, look for it's mmapped chunks in the map created before and add it to that series. If a head chunk is corrupted the currpted one and all chunks after that are deleted and the data after the corruption is recovered from the existing WAL which means that a corruption in m-mapped files results in NO data loss. [Mmaped chunks format](https://github.com/prometheus/prometheus/blob/master/tsdb/docs/format/head_chunks.md) - main difference is that the chunk for mmaping now also includes series reference because there is no index for mapping series to chunks. [The block chunks](https://github.com/prometheus/prometheus/blob/master/tsdb/docs/format/chunks.md) are accessed from the index which includes the offsets for the chunks in the chunks file - example - chunks of series ID have offsets 200, 500 etc in the chunk files. In case of mmaped chunks, the offsets are stored in memory and accessed from that. During WAL replay, these offsets are restored by iterating all m-mapped chunks as stated above by matching the series id present in the chunk header and offset of that chunk in that file. **Prombench results** _WAL Replay_ 1h Wal reply time 30% less wal reply time - 4m31 vs 3m36 2h Wal reply time 20% less wal reply time - 8m16 vs 7m _Memory During WAL Replay_ High Churn: 10-15% less RAM - 32gb vs 28gb 20% less RAM after compaction 34gb vs 27gb No Churn: 20-30% less RAM - 23gb vs 18gb 40% less RAM after compaction 32.5gb vs 20gb Screenshots are in [this comment](https://github.com/prometheus/prometheus/pull/6679#issuecomment-621678932) Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in>
2020-05-06 08:30:00 -07:00
return &CorruptionErr{
Dir: cdm.dir.Name(),
FileIndex: segID,
Err: errors.Errorf("head chunk file doesn't include enough bytes to read the chunk header - required:%v, available:%v, file:%d", idx+CRCSize, fileEnd, segID),
}
}
// Check CRC.
sum := mmapFile.byteSlice.Range(idx, idx+CRCSize)
if _, err := chkCRC32.Write(mmapFile.byteSlice.Range(startIdx, idx)); err != nil {
return err
}
if act := chkCRC32.Sum(nil); !bytes.Equal(act, sum) {
M-map full chunks of Head from disk (#6679) When appending to the head and a chunk is full it is flushed to the disk and m-mapped (memory mapped) to free up memory Prom startup now happens in these stages - Iterate the m-maped chunks from disk and keep a map of series reference to its slice of mmapped chunks. - Iterate the WAL as usual. Whenever we create a new series, look for it's mmapped chunks in the map created before and add it to that series. If a head chunk is corrupted the currpted one and all chunks after that are deleted and the data after the corruption is recovered from the existing WAL which means that a corruption in m-mapped files results in NO data loss. [Mmaped chunks format](https://github.com/prometheus/prometheus/blob/master/tsdb/docs/format/head_chunks.md) - main difference is that the chunk for mmaping now also includes series reference because there is no index for mapping series to chunks. [The block chunks](https://github.com/prometheus/prometheus/blob/master/tsdb/docs/format/chunks.md) are accessed from the index which includes the offsets for the chunks in the chunks file - example - chunks of series ID have offsets 200, 500 etc in the chunk files. In case of mmaped chunks, the offsets are stored in memory and accessed from that. During WAL replay, these offsets are restored by iterating all m-mapped chunks as stated above by matching the series id present in the chunk header and offset of that chunk in that file. **Prombench results** _WAL Replay_ 1h Wal reply time 30% less wal reply time - 4m31 vs 3m36 2h Wal reply time 20% less wal reply time - 8m16 vs 7m _Memory During WAL Replay_ High Churn: 10-15% less RAM - 32gb vs 28gb 20% less RAM after compaction 34gb vs 27gb No Churn: 20-30% less RAM - 23gb vs 18gb 40% less RAM after compaction 32.5gb vs 20gb Screenshots are in [this comment](https://github.com/prometheus/prometheus/pull/6679#issuecomment-621678932) Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in>
2020-05-06 08:30:00 -07:00
return &CorruptionErr{
Dir: cdm.dir.Name(),
FileIndex: segID,
Err: errors.Errorf("checksum mismatch expected:%x, actual:%x", sum, act),
}
}
idx += CRCSize
if maxt > mmapFile.maxt {
mmapFile.maxt = maxt
}
M-map full chunks of Head from disk (#6679) When appending to the head and a chunk is full it is flushed to the disk and m-mapped (memory mapped) to free up memory Prom startup now happens in these stages - Iterate the m-maped chunks from disk and keep a map of series reference to its slice of mmapped chunks. - Iterate the WAL as usual. Whenever we create a new series, look for it's mmapped chunks in the map created before and add it to that series. If a head chunk is corrupted the currpted one and all chunks after that are deleted and the data after the corruption is recovered from the existing WAL which means that a corruption in m-mapped files results in NO data loss. [Mmaped chunks format](https://github.com/prometheus/prometheus/blob/master/tsdb/docs/format/head_chunks.md) - main difference is that the chunk for mmaping now also includes series reference because there is no index for mapping series to chunks. [The block chunks](https://github.com/prometheus/prometheus/blob/master/tsdb/docs/format/chunks.md) are accessed from the index which includes the offsets for the chunks in the chunks file - example - chunks of series ID have offsets 200, 500 etc in the chunk files. In case of mmaped chunks, the offsets are stored in memory and accessed from that. During WAL replay, these offsets are restored by iterating all m-mapped chunks as stated above by matching the series id present in the chunk header and offset of that chunk in that file. **Prombench results** _WAL Replay_ 1h Wal reply time 30% less wal reply time - 4m31 vs 3m36 2h Wal reply time 20% less wal reply time - 8m16 vs 7m _Memory During WAL Replay_ High Churn: 10-15% less RAM - 32gb vs 28gb 20% less RAM after compaction 34gb vs 27gb No Churn: 20-30% less RAM - 23gb vs 18gb 40% less RAM after compaction 32.5gb vs 20gb Screenshots are in [this comment](https://github.com/prometheus/prometheus/pull/6679#issuecomment-621678932) Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in>
2020-05-06 08:30:00 -07:00
if err := f(seriesRef, chunkRef, mint, maxt, numSamples); err != nil {
if cerr, ok := err.(*CorruptionErr); ok {
cerr.Dir = cdm.dir.Name()
cerr.FileIndex = segID
return cerr
}
return err
}
}
if idx > fileEnd {
// It should be equal to the slice length.
M-map full chunks of Head from disk (#6679) When appending to the head and a chunk is full it is flushed to the disk and m-mapped (memory mapped) to free up memory Prom startup now happens in these stages - Iterate the m-maped chunks from disk and keep a map of series reference to its slice of mmapped chunks. - Iterate the WAL as usual. Whenever we create a new series, look for it's mmapped chunks in the map created before and add it to that series. If a head chunk is corrupted the currpted one and all chunks after that are deleted and the data after the corruption is recovered from the existing WAL which means that a corruption in m-mapped files results in NO data loss. [Mmaped chunks format](https://github.com/prometheus/prometheus/blob/master/tsdb/docs/format/head_chunks.md) - main difference is that the chunk for mmaping now also includes series reference because there is no index for mapping series to chunks. [The block chunks](https://github.com/prometheus/prometheus/blob/master/tsdb/docs/format/chunks.md) are accessed from the index which includes the offsets for the chunks in the chunks file - example - chunks of series ID have offsets 200, 500 etc in the chunk files. In case of mmaped chunks, the offsets are stored in memory and accessed from that. During WAL replay, these offsets are restored by iterating all m-mapped chunks as stated above by matching the series id present in the chunk header and offset of that chunk in that file. **Prombench results** _WAL Replay_ 1h Wal reply time 30% less wal reply time - 4m31 vs 3m36 2h Wal reply time 20% less wal reply time - 8m16 vs 7m _Memory During WAL Replay_ High Churn: 10-15% less RAM - 32gb vs 28gb 20% less RAM after compaction 34gb vs 27gb No Churn: 20-30% less RAM - 23gb vs 18gb 40% less RAM after compaction 32.5gb vs 20gb Screenshots are in [this comment](https://github.com/prometheus/prometheus/pull/6679#issuecomment-621678932) Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in>
2020-05-06 08:30:00 -07:00
return &CorruptionErr{
Dir: cdm.dir.Name(),
FileIndex: segID,
Err: errors.Errorf("head chunk file doesn't include enough bytes to read the last chunk data - required:%v, available:%v, file:%d", idx, fileEnd, segID),
}
}
}
return nil
}
// Truncate deletes the head chunk files which are strictly below the mint.
// mint should be in milliseconds.
func (cdm *ChunkDiskMapper) Truncate(mint int64) error {
if !cdm.fileMaxtSet {
return errors.New("maxt of the files are not set")
}
cdm.readPathMtx.RLock()
// Sort the file indices, else if files deletion fails in between,
// it can lead to unsequential files as the map is not sorted.
chkFileIndices := make([]int, 0, len(cdm.mmappedChunkFiles))
for seq := range cdm.mmappedChunkFiles {
chkFileIndices = append(chkFileIndices, seq)
}
sort.Ints(chkFileIndices)
var removedFiles []int
for _, seq := range chkFileIndices {
if seq == cdm.curFileSequence || cdm.mmappedChunkFiles[seq].maxt >= mint {
break
}
if cdm.mmappedChunkFiles[seq].maxt < mint {
removedFiles = append(removedFiles, seq)
}
}
cdm.readPathMtx.RUnlock()
errs := tsdb_errors.NewMulti()
// Cut a new file only if the current file has some chunks.
if cdm.curFileSize() > HeadChunkFileHeaderSize {
errs.Add(cdm.CutNewFile())
}
errs.Add(cdm.deleteFiles(removedFiles))
return errs.Err()
}
func (cdm *ChunkDiskMapper) deleteFiles(removedFiles []int) error {
cdm.readPathMtx.Lock()
for _, seq := range removedFiles {
if err := cdm.closers[seq].Close(); err != nil {
cdm.readPathMtx.Unlock()
return err
}
delete(cdm.mmappedChunkFiles, seq)
delete(cdm.closers, seq)
}
cdm.readPathMtx.Unlock()
// We actually delete the files separately to not block the readPathMtx for long.
for _, seq := range removedFiles {
if err := os.Remove(segmentFile(cdm.dir.Name(), seq)); err != nil {
return err
}
}
return nil
}
M-map full chunks of Head from disk (#6679) When appending to the head and a chunk is full it is flushed to the disk and m-mapped (memory mapped) to free up memory Prom startup now happens in these stages - Iterate the m-maped chunks from disk and keep a map of series reference to its slice of mmapped chunks. - Iterate the WAL as usual. Whenever we create a new series, look for it's mmapped chunks in the map created before and add it to that series. If a head chunk is corrupted the currpted one and all chunks after that are deleted and the data after the corruption is recovered from the existing WAL which means that a corruption in m-mapped files results in NO data loss. [Mmaped chunks format](https://github.com/prometheus/prometheus/blob/master/tsdb/docs/format/head_chunks.md) - main difference is that the chunk for mmaping now also includes series reference because there is no index for mapping series to chunks. [The block chunks](https://github.com/prometheus/prometheus/blob/master/tsdb/docs/format/chunks.md) are accessed from the index which includes the offsets for the chunks in the chunks file - example - chunks of series ID have offsets 200, 500 etc in the chunk files. In case of mmaped chunks, the offsets are stored in memory and accessed from that. During WAL replay, these offsets are restored by iterating all m-mapped chunks as stated above by matching the series id present in the chunk header and offset of that chunk in that file. **Prombench results** _WAL Replay_ 1h Wal reply time 30% less wal reply time - 4m31 vs 3m36 2h Wal reply time 20% less wal reply time - 8m16 vs 7m _Memory During WAL Replay_ High Churn: 10-15% less RAM - 32gb vs 28gb 20% less RAM after compaction 34gb vs 27gb No Churn: 20-30% less RAM - 23gb vs 18gb 40% less RAM after compaction 32.5gb vs 20gb Screenshots are in [this comment](https://github.com/prometheus/prometheus/pull/6679#issuecomment-621678932) Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in>
2020-05-06 08:30:00 -07:00
// DeleteCorrupted deletes all the head chunk files after the one which had the corruption
// (including the corrupt file).
M-map full chunks of Head from disk (#6679) When appending to the head and a chunk is full it is flushed to the disk and m-mapped (memory mapped) to free up memory Prom startup now happens in these stages - Iterate the m-maped chunks from disk and keep a map of series reference to its slice of mmapped chunks. - Iterate the WAL as usual. Whenever we create a new series, look for it's mmapped chunks in the map created before and add it to that series. If a head chunk is corrupted the currpted one and all chunks after that are deleted and the data after the corruption is recovered from the existing WAL which means that a corruption in m-mapped files results in NO data loss. [Mmaped chunks format](https://github.com/prometheus/prometheus/blob/master/tsdb/docs/format/head_chunks.md) - main difference is that the chunk for mmaping now also includes series reference because there is no index for mapping series to chunks. [The block chunks](https://github.com/prometheus/prometheus/blob/master/tsdb/docs/format/chunks.md) are accessed from the index which includes the offsets for the chunks in the chunks file - example - chunks of series ID have offsets 200, 500 etc in the chunk files. In case of mmaped chunks, the offsets are stored in memory and accessed from that. During WAL replay, these offsets are restored by iterating all m-mapped chunks as stated above by matching the series id present in the chunk header and offset of that chunk in that file. **Prombench results** _WAL Replay_ 1h Wal reply time 30% less wal reply time - 4m31 vs 3m36 2h Wal reply time 20% less wal reply time - 8m16 vs 7m _Memory During WAL Replay_ High Churn: 10-15% less RAM - 32gb vs 28gb 20% less RAM after compaction 34gb vs 27gb No Churn: 20-30% less RAM - 23gb vs 18gb 40% less RAM after compaction 32.5gb vs 20gb Screenshots are in [this comment](https://github.com/prometheus/prometheus/pull/6679#issuecomment-621678932) Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in>
2020-05-06 08:30:00 -07:00
func (cdm *ChunkDiskMapper) DeleteCorrupted(originalErr error) error {
err := errors.Cause(originalErr) // So that we can pick up errors even if wrapped.
M-map full chunks of Head from disk (#6679) When appending to the head and a chunk is full it is flushed to the disk and m-mapped (memory mapped) to free up memory Prom startup now happens in these stages - Iterate the m-maped chunks from disk and keep a map of series reference to its slice of mmapped chunks. - Iterate the WAL as usual. Whenever we create a new series, look for it's mmapped chunks in the map created before and add it to that series. If a head chunk is corrupted the currpted one and all chunks after that are deleted and the data after the corruption is recovered from the existing WAL which means that a corruption in m-mapped files results in NO data loss. [Mmaped chunks format](https://github.com/prometheus/prometheus/blob/master/tsdb/docs/format/head_chunks.md) - main difference is that the chunk for mmaping now also includes series reference because there is no index for mapping series to chunks. [The block chunks](https://github.com/prometheus/prometheus/blob/master/tsdb/docs/format/chunks.md) are accessed from the index which includes the offsets for the chunks in the chunks file - example - chunks of series ID have offsets 200, 500 etc in the chunk files. In case of mmaped chunks, the offsets are stored in memory and accessed from that. During WAL replay, these offsets are restored by iterating all m-mapped chunks as stated above by matching the series id present in the chunk header and offset of that chunk in that file. **Prombench results** _WAL Replay_ 1h Wal reply time 30% less wal reply time - 4m31 vs 3m36 2h Wal reply time 20% less wal reply time - 8m16 vs 7m _Memory During WAL Replay_ High Churn: 10-15% less RAM - 32gb vs 28gb 20% less RAM after compaction 34gb vs 27gb No Churn: 20-30% less RAM - 23gb vs 18gb 40% less RAM after compaction 32.5gb vs 20gb Screenshots are in [this comment](https://github.com/prometheus/prometheus/pull/6679#issuecomment-621678932) Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in>
2020-05-06 08:30:00 -07:00
cerr, ok := err.(*CorruptionErr)
if !ok {
return errors.Wrap(originalErr, "cannot handle error")
}
// Delete all the head chunk files following the corrupt head chunk file.
segs := []int{}
cdm.readPathMtx.RLock()
for seg := range cdm.mmappedChunkFiles {
if seg >= cerr.FileIndex {
segs = append(segs, seg)
}
}
cdm.readPathMtx.RUnlock()
return cdm.deleteFiles(segs)
}
// Size returns the size of the chunk files.
func (cdm *ChunkDiskMapper) Size() (int64, error) {
return fileutil.DirSize(cdm.dir.Name())
}
func (cdm *ChunkDiskMapper) curFileSize() int64 {
return cdm.curFileNumBytes.Load()
}
// Close closes all the open files in ChunkDiskMapper.
// It is not longer safe to access chunks from this struct after calling Close.
func (cdm *ChunkDiskMapper) Close() error {
// 'WriteChunk' locks writePathMtx first and then readPathMtx for cutting head chunk file.
// The lock order should not be reversed here else it can cause deadlocks.
cdm.writePathMtx.Lock()
defer cdm.writePathMtx.Unlock()
cdm.readPathMtx.Lock()
defer cdm.readPathMtx.Unlock()
if cdm.closed {
return nil
}
cdm.closed = true
errs := tsdb_errors.NewMulti(
closeAllFromMap(cdm.closers),
cdm.finalizeCurFile(),
cdm.dir.Close(),
)
cdm.mmappedChunkFiles = map[int]*mmappedChunkFile{}
cdm.closers = map[int]io.Closer{}
return errs.Err()
}
func closeAllFromMap(cs map[int]io.Closer) error {
errs := tsdb_errors.NewMulti()
for _, c := range cs {
errs.Add(c.Close())
}
return errs.Err()
}
const inBufferShards = 128 // 128 is a randomly chosen number.
// chunkBuffer is a thread safe buffer for chunks.
type chunkBuffer struct {
inBufferChunks [inBufferShards]map[uint64]chunkenc.Chunk
inBufferChunksMtxs [inBufferShards]sync.RWMutex
}
func newChunkBuffer() *chunkBuffer {
cb := &chunkBuffer{}
for i := 0; i < inBufferShards; i++ {
cb.inBufferChunks[i] = make(map[uint64]chunkenc.Chunk)
}
return cb
}
func (cb *chunkBuffer) put(ref uint64, chk chunkenc.Chunk) {
shardIdx := ref % inBufferShards
cb.inBufferChunksMtxs[shardIdx].Lock()
cb.inBufferChunks[shardIdx][ref] = chk
cb.inBufferChunksMtxs[shardIdx].Unlock()
}
func (cb *chunkBuffer) get(ref uint64) chunkenc.Chunk {
shardIdx := ref % inBufferShards
cb.inBufferChunksMtxs[shardIdx].RLock()
defer cb.inBufferChunksMtxs[shardIdx].RUnlock()
return cb.inBufferChunks[shardIdx][ref]
}
func (cb *chunkBuffer) clear() {
for i := 0; i < inBufferShards; i++ {
cb.inBufferChunksMtxs[i].Lock()
cb.inBufferChunks[i] = make(map[uint64]chunkenc.Chunk)
cb.inBufferChunksMtxs[i].Unlock()
}
}