VictoriaMetrics/lib/storage/part_header.go

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package storage
import (
all: add Windows build for VictoriaMetrics This commit changes background merge algorithm, so it becomes compatible with Windows file semantics. The previous algorithm for background merge: 1. Merge source parts into a destination part inside tmp directory. 2. Create a file in txn directory with instructions on how to atomically swap source parts with the destination part. 3. Perform instructions from the file. 4. Delete the file with instructions. This algorithm guarantees that either source parts or destination part is visible in the partition after unclean shutdown at any step above, since the remaining files with instructions is replayed on the next restart, after that the remaining contents of the tmp directory is deleted. Unfortunately this algorithm doesn't work under Windows because it disallows removing and moving files, which are in use. So the new algorithm for background merge has been implemented: 1. Merge source parts into a destination part inside the partition directory itself. E.g. now the partition directory may contain both complete and incomplete parts. 2. Atomically update the parts.json file with the new list of parts after the merge, e.g. remove the source parts from the list and add the destination part to the list before storing it to parts.json file. 3. Remove the source parts from disk when they are no longer used. This algorithm guarantees that either source parts or destination part is visible in the partition after unclean shutdown at any step above, since incomplete partitions from step 1 or old source parts from step 3 are removed on the next startup by inspecting parts.json file. This algorithm should work under Windows, since it doesn't remove or move files in use. This algorithm has also the following benefits: - It should work better for NFS. - It fits object storage semantics. The new algorithm changes data storage format, so it is impossible to downgrade to the previous versions of VictoriaMetrics after upgrading to this algorithm. Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3236 Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3821 Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/70
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"encoding/json"
"errors"
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"fmt"
"os"
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"path/filepath"
"strconv"
"strings"
"time"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/fs"
all: add Windows build for VictoriaMetrics This commit changes background merge algorithm, so it becomes compatible with Windows file semantics. The previous algorithm for background merge: 1. Merge source parts into a destination part inside tmp directory. 2. Create a file in txn directory with instructions on how to atomically swap source parts with the destination part. 3. Perform instructions from the file. 4. Delete the file with instructions. This algorithm guarantees that either source parts or destination part is visible in the partition after unclean shutdown at any step above, since the remaining files with instructions is replayed on the next restart, after that the remaining contents of the tmp directory is deleted. Unfortunately this algorithm doesn't work under Windows because it disallows removing and moving files, which are in use. So the new algorithm for background merge has been implemented: 1. Merge source parts into a destination part inside the partition directory itself. E.g. now the partition directory may contain both complete and incomplete parts. 2. Atomically update the parts.json file with the new list of parts after the merge, e.g. remove the source parts from the list and add the destination part to the list before storing it to parts.json file. 3. Remove the source parts from disk when they are no longer used. This algorithm guarantees that either source parts or destination part is visible in the partition after unclean shutdown at any step above, since incomplete partitions from step 1 or old source parts from step 3 are removed on the next startup by inspecting parts.json file. This algorithm should work under Windows, since it doesn't remove or move files in use. This algorithm has also the following benefits: - It should work better for NFS. - It fits object storage semantics. The new algorithm changes data storage format, so it is impossible to downgrade to the previous versions of VictoriaMetrics after upgrading to this algorithm. Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3236 Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3821 Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/70
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/logger"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/promutils"
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)
// partHeader represents part header.
type partHeader struct {
// RowsCount is the total number of rows in the part.
RowsCount uint64
// BlocksCount is the total number of blocks in the part.
BlocksCount uint64
// MinTimestamp is the minimum timestamp in the part.
MinTimestamp int64
// MaxTimestamp is the maximum timestamp in the part.
MaxTimestamp int64
// MinDedupInterval is minimal dedup interval in milliseconds across all the blocks in the part.
MinDedupInterval int64
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}
// String returns string representation of ph.
func (ph *partHeader) String() string {
all: add Windows build for VictoriaMetrics This commit changes background merge algorithm, so it becomes compatible with Windows file semantics. The previous algorithm for background merge: 1. Merge source parts into a destination part inside tmp directory. 2. Create a file in txn directory with instructions on how to atomically swap source parts with the destination part. 3. Perform instructions from the file. 4. Delete the file with instructions. This algorithm guarantees that either source parts or destination part is visible in the partition after unclean shutdown at any step above, since the remaining files with instructions is replayed on the next restart, after that the remaining contents of the tmp directory is deleted. Unfortunately this algorithm doesn't work under Windows because it disallows removing and moving files, which are in use. So the new algorithm for background merge has been implemented: 1. Merge source parts into a destination part inside the partition directory itself. E.g. now the partition directory may contain both complete and incomplete parts. 2. Atomically update the parts.json file with the new list of parts after the merge, e.g. remove the source parts from the list and add the destination part to the list before storing it to parts.json file. 3. Remove the source parts from disk when they are no longer used. This algorithm guarantees that either source parts or destination part is visible in the partition after unclean shutdown at any step above, since incomplete partitions from step 1 or old source parts from step 3 are removed on the next startup by inspecting parts.json file. This algorithm should work under Windows, since it doesn't remove or move files in use. This algorithm has also the following benefits: - It should work better for NFS. - It fits object storage semantics. The new algorithm changes data storage format, so it is impossible to downgrade to the previous versions of VictoriaMetrics after upgrading to this algorithm. Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3236 Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3821 Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/70
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return fmt.Sprintf("partHeader{rowsCount=%d,blocksCount=%d,minTimestamp=%d,maxTimestamp=%d}", ph.RowsCount, ph.BlocksCount, ph.MinTimestamp, ph.MaxTimestamp)
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}
all: add Windows build for VictoriaMetrics This commit changes background merge algorithm, so it becomes compatible with Windows file semantics. The previous algorithm for background merge: 1. Merge source parts into a destination part inside tmp directory. 2. Create a file in txn directory with instructions on how to atomically swap source parts with the destination part. 3. Perform instructions from the file. 4. Delete the file with instructions. This algorithm guarantees that either source parts or destination part is visible in the partition after unclean shutdown at any step above, since the remaining files with instructions is replayed on the next restart, after that the remaining contents of the tmp directory is deleted. Unfortunately this algorithm doesn't work under Windows because it disallows removing and moving files, which are in use. So the new algorithm for background merge has been implemented: 1. Merge source parts into a destination part inside the partition directory itself. E.g. now the partition directory may contain both complete and incomplete parts. 2. Atomically update the parts.json file with the new list of parts after the merge, e.g. remove the source parts from the list and add the destination part to the list before storing it to parts.json file. 3. Remove the source parts from disk when they are no longer used. This algorithm guarantees that either source parts or destination part is visible in the partition after unclean shutdown at any step above, since incomplete partitions from step 1 or old source parts from step 3 are removed on the next startup by inspecting parts.json file. This algorithm should work under Windows, since it doesn't remove or move files in use. This algorithm has also the following benefits: - It should work better for NFS. - It fits object storage semantics. The new algorithm changes data storage format, so it is impossible to downgrade to the previous versions of VictoriaMetrics after upgrading to this algorithm. Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3236 Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3821 Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/70
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// Reset resets the ph.
func (ph *partHeader) Reset() {
ph.RowsCount = 0
ph.BlocksCount = 0
ph.MinTimestamp = (1 << 63) - 1
ph.MaxTimestamp = -1 << 63
ph.MinDedupInterval = 0
}
func (ph *partHeader) readMinDedupInterval(partPath string) error {
filePath := partPath + "/min_dedup_interval"
data, err := os.ReadFile(filePath)
if err != nil {
if errors.Is(err, os.ErrNotExist) {
// The minimum dedup interval may not exist for old parts.
ph.MinDedupInterval = 0
return nil
}
return fmt.Errorf("cannot read %q: %w", filePath, err)
}
dedupInterval, err := promutils.ParseDuration(string(data))
if err != nil {
return fmt.Errorf("cannot parse minimum dedup interval %q at %q: %w", data, filePath, err)
}
ph.MinDedupInterval = dedupInterval.Milliseconds()
return nil
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}
func fromUserReadableTimestamp(s string) (int64, error) {
t, err := time.Parse(userReadableTimeFormat, s)
if err != nil {
return 0, err
}
return timestampFromTime(t), nil
}
const userReadableTimeFormat = "20060102150405.000"
// ParseFromPath extracts ph info from the given path.
func (ph *partHeader) ParseFromPath(path string) error {
ph.Reset()
path = filepath.Clean(path)
// Extract encoded part name.
partName := filepath.Base(path)
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// PartName must have the following form:
// RowsCount_BlocksCount_MinTimestamp_MaxTimestamp_Garbage
a := strings.Split(partName, "_")
if len(a) != 5 {
return fmt.Errorf("unexpected number of substrings in the part name %q: got %d; want %d", partName, len(a), 5)
}
var err error
ph.RowsCount, err = strconv.ParseUint(a[0], 10, 64)
if err != nil {
return fmt.Errorf("cannot parse rowsCount from partName %q: %w", partName, err)
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}
ph.BlocksCount, err = strconv.ParseUint(a[1], 10, 64)
if err != nil {
return fmt.Errorf("cannot parse blocksCount from partName %q: %w", partName, err)
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}
ph.MinTimestamp, err = fromUserReadableTimestamp(a[2])
if err != nil {
return fmt.Errorf("cannot parse minTimestamp from partName %q: %w", partName, err)
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}
ph.MaxTimestamp, err = fromUserReadableTimestamp(a[3])
if err != nil {
return fmt.Errorf("cannot parse maxTimestamp from partName %q: %w", partName, err)
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}
if ph.MinTimestamp > ph.MaxTimestamp {
return fmt.Errorf("minTimestamp cannot exceed maxTimestamp; got %d vs %d", ph.MinTimestamp, ph.MaxTimestamp)
}
if ph.RowsCount <= 0 {
return fmt.Errorf("rowsCount must be greater than 0; got %d", ph.RowsCount)
}
if ph.BlocksCount <= 0 {
return fmt.Errorf("blocksCount must be greater than 0; got %d", ph.BlocksCount)
}
if ph.BlocksCount > ph.RowsCount {
return fmt.Errorf("blocksCount cannot be bigger than rowsCount; got blocksCount=%d, rowsCount=%d", ph.BlocksCount, ph.RowsCount)
}
if err := ph.readMinDedupInterval(path); err != nil {
return fmt.Errorf("cannot read min dedup interval: %w", err)
}
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return nil
}
all: add Windows build for VictoriaMetrics This commit changes background merge algorithm, so it becomes compatible with Windows file semantics. The previous algorithm for background merge: 1. Merge source parts into a destination part inside tmp directory. 2. Create a file in txn directory with instructions on how to atomically swap source parts with the destination part. 3. Perform instructions from the file. 4. Delete the file with instructions. This algorithm guarantees that either source parts or destination part is visible in the partition after unclean shutdown at any step above, since the remaining files with instructions is replayed on the next restart, after that the remaining contents of the tmp directory is deleted. Unfortunately this algorithm doesn't work under Windows because it disallows removing and moving files, which are in use. So the new algorithm for background merge has been implemented: 1. Merge source parts into a destination part inside the partition directory itself. E.g. now the partition directory may contain both complete and incomplete parts. 2. Atomically update the parts.json file with the new list of parts after the merge, e.g. remove the source parts from the list and add the destination part to the list before storing it to parts.json file. 3. Remove the source parts from disk when they are no longer used. This algorithm guarantees that either source parts or destination part is visible in the partition after unclean shutdown at any step above, since incomplete partitions from step 1 or old source parts from step 3 are removed on the next startup by inspecting parts.json file. This algorithm should work under Windows, since it doesn't remove or move files in use. This algorithm has also the following benefits: - It should work better for NFS. - It fits object storage semantics. The new algorithm changes data storage format, so it is impossible to downgrade to the previous versions of VictoriaMetrics after upgrading to this algorithm. Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3236 Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3821 Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/70
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func (ph *partHeader) ReadMetadata(partPath string) error {
ph.Reset()
all: add Windows build for VictoriaMetrics This commit changes background merge algorithm, so it becomes compatible with Windows file semantics. The previous algorithm for background merge: 1. Merge source parts into a destination part inside tmp directory. 2. Create a file in txn directory with instructions on how to atomically swap source parts with the destination part. 3. Perform instructions from the file. 4. Delete the file with instructions. This algorithm guarantees that either source parts or destination part is visible in the partition after unclean shutdown at any step above, since the remaining files with instructions is replayed on the next restart, after that the remaining contents of the tmp directory is deleted. Unfortunately this algorithm doesn't work under Windows because it disallows removing and moving files, which are in use. So the new algorithm for background merge has been implemented: 1. Merge source parts into a destination part inside the partition directory itself. E.g. now the partition directory may contain both complete and incomplete parts. 2. Atomically update the parts.json file with the new list of parts after the merge, e.g. remove the source parts from the list and add the destination part to the list before storing it to parts.json file. 3. Remove the source parts from disk when they are no longer used. This algorithm guarantees that either source parts or destination part is visible in the partition after unclean shutdown at any step above, since incomplete partitions from step 1 or old source parts from step 3 are removed on the next startup by inspecting parts.json file. This algorithm should work under Windows, since it doesn't remove or move files in use. This algorithm has also the following benefits: - It should work better for NFS. - It fits object storage semantics. The new algorithm changes data storage format, so it is impossible to downgrade to the previous versions of VictoriaMetrics after upgrading to this algorithm. Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3236 Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3821 Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/70
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metadataPath := partPath + "/metadata.json"
metadata, err := os.ReadFile(metadataPath)
if err != nil {
all: add Windows build for VictoriaMetrics This commit changes background merge algorithm, so it becomes compatible with Windows file semantics. The previous algorithm for background merge: 1. Merge source parts into a destination part inside tmp directory. 2. Create a file in txn directory with instructions on how to atomically swap source parts with the destination part. 3. Perform instructions from the file. 4. Delete the file with instructions. This algorithm guarantees that either source parts or destination part is visible in the partition after unclean shutdown at any step above, since the remaining files with instructions is replayed on the next restart, after that the remaining contents of the tmp directory is deleted. Unfortunately this algorithm doesn't work under Windows because it disallows removing and moving files, which are in use. So the new algorithm for background merge has been implemented: 1. Merge source parts into a destination part inside the partition directory itself. E.g. now the partition directory may contain both complete and incomplete parts. 2. Atomically update the parts.json file with the new list of parts after the merge, e.g. remove the source parts from the list and add the destination part to the list before storing it to parts.json file. 3. Remove the source parts from disk when they are no longer used. This algorithm guarantees that either source parts or destination part is visible in the partition after unclean shutdown at any step above, since incomplete partitions from step 1 or old source parts from step 3 are removed on the next startup by inspecting parts.json file. This algorithm should work under Windows, since it doesn't remove or move files in use. This algorithm has also the following benefits: - It should work better for NFS. - It fits object storage semantics. The new algorithm changes data storage format, so it is impossible to downgrade to the previous versions of VictoriaMetrics after upgrading to this algorithm. Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3236 Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3821 Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/70
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if os.IsNotExist(err) {
// This is a part created before v1.90.0.
// Fall back to reading the metadata from the partPath itsel
return ph.ParseFromPath(partPath)
}
all: add Windows build for VictoriaMetrics This commit changes background merge algorithm, so it becomes compatible with Windows file semantics. The previous algorithm for background merge: 1. Merge source parts into a destination part inside tmp directory. 2. Create a file in txn directory with instructions on how to atomically swap source parts with the destination part. 3. Perform instructions from the file. 4. Delete the file with instructions. This algorithm guarantees that either source parts or destination part is visible in the partition after unclean shutdown at any step above, since the remaining files with instructions is replayed on the next restart, after that the remaining contents of the tmp directory is deleted. Unfortunately this algorithm doesn't work under Windows because it disallows removing and moving files, which are in use. So the new algorithm for background merge has been implemented: 1. Merge source parts into a destination part inside the partition directory itself. E.g. now the partition directory may contain both complete and incomplete parts. 2. Atomically update the parts.json file with the new list of parts after the merge, e.g. remove the source parts from the list and add the destination part to the list before storing it to parts.json file. 3. Remove the source parts from disk when they are no longer used. This algorithm guarantees that either source parts or destination part is visible in the partition after unclean shutdown at any step above, since incomplete partitions from step 1 or old source parts from step 3 are removed on the next startup by inspecting parts.json file. This algorithm should work under Windows, since it doesn't remove or move files in use. This algorithm has also the following benefits: - It should work better for NFS. - It fits object storage semantics. The new algorithm changes data storage format, so it is impossible to downgrade to the previous versions of VictoriaMetrics after upgrading to this algorithm. Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3236 Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3821 Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/70
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return fmt.Errorf("cannot read %q: %w", metadataPath, err)
}
all: add Windows build for VictoriaMetrics This commit changes background merge algorithm, so it becomes compatible with Windows file semantics. The previous algorithm for background merge: 1. Merge source parts into a destination part inside tmp directory. 2. Create a file in txn directory with instructions on how to atomically swap source parts with the destination part. 3. Perform instructions from the file. 4. Delete the file with instructions. This algorithm guarantees that either source parts or destination part is visible in the partition after unclean shutdown at any step above, since the remaining files with instructions is replayed on the next restart, after that the remaining contents of the tmp directory is deleted. Unfortunately this algorithm doesn't work under Windows because it disallows removing and moving files, which are in use. So the new algorithm for background merge has been implemented: 1. Merge source parts into a destination part inside the partition directory itself. E.g. now the partition directory may contain both complete and incomplete parts. 2. Atomically update the parts.json file with the new list of parts after the merge, e.g. remove the source parts from the list and add the destination part to the list before storing it to parts.json file. 3. Remove the source parts from disk when they are no longer used. This algorithm guarantees that either source parts or destination part is visible in the partition after unclean shutdown at any step above, since incomplete partitions from step 1 or old source parts from step 3 are removed on the next startup by inspecting parts.json file. This algorithm should work under Windows, since it doesn't remove or move files in use. This algorithm has also the following benefits: - It should work better for NFS. - It fits object storage semantics. The new algorithm changes data storage format, so it is impossible to downgrade to the previous versions of VictoriaMetrics after upgrading to this algorithm. Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3236 Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3821 Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/70
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if err := json.Unmarshal(metadata, ph); err != nil {
return fmt.Errorf("cannot parse %q: %w", metadataPath, err)
}
all: add Windows build for VictoriaMetrics This commit changes background merge algorithm, so it becomes compatible with Windows file semantics. The previous algorithm for background merge: 1. Merge source parts into a destination part inside tmp directory. 2. Create a file in txn directory with instructions on how to atomically swap source parts with the destination part. 3. Perform instructions from the file. 4. Delete the file with instructions. This algorithm guarantees that either source parts or destination part is visible in the partition after unclean shutdown at any step above, since the remaining files with instructions is replayed on the next restart, after that the remaining contents of the tmp directory is deleted. Unfortunately this algorithm doesn't work under Windows because it disallows removing and moving files, which are in use. So the new algorithm for background merge has been implemented: 1. Merge source parts into a destination part inside the partition directory itself. E.g. now the partition directory may contain both complete and incomplete parts. 2. Atomically update the parts.json file with the new list of parts after the merge, e.g. remove the source parts from the list and add the destination part to the list before storing it to parts.json file. 3. Remove the source parts from disk when they are no longer used. This algorithm guarantees that either source parts or destination part is visible in the partition after unclean shutdown at any step above, since incomplete partitions from step 1 or old source parts from step 3 are removed on the next startup by inspecting parts.json file. This algorithm should work under Windows, since it doesn't remove or move files in use. This algorithm has also the following benefits: - It should work better for NFS. - It fits object storage semantics. The new algorithm changes data storage format, so it is impossible to downgrade to the previous versions of VictoriaMetrics after upgrading to this algorithm. Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3236 Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3821 Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/70
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// Perform various checks
if ph.MinTimestamp > ph.MaxTimestamp {
return fmt.Errorf("minTimestamp cannot exceed maxTimestamp; got %d vs %d", ph.MinTimestamp, ph.MaxTimestamp)
}
if ph.RowsCount <= 0 {
return fmt.Errorf("rowsCount must be greater than 0; got %d", ph.RowsCount)
}
if ph.BlocksCount <= 0 {
return fmt.Errorf("blocksCount must be greater than 0; got %d", ph.BlocksCount)
}
if ph.BlocksCount > ph.RowsCount {
return fmt.Errorf("blocksCount cannot be bigger than rowsCount; got blocksCount=%d, rowsCount=%d", ph.BlocksCount, ph.RowsCount)
}
return nil
}
all: add Windows build for VictoriaMetrics This commit changes background merge algorithm, so it becomes compatible with Windows file semantics. The previous algorithm for background merge: 1. Merge source parts into a destination part inside tmp directory. 2. Create a file in txn directory with instructions on how to atomically swap source parts with the destination part. 3. Perform instructions from the file. 4. Delete the file with instructions. This algorithm guarantees that either source parts or destination part is visible in the partition after unclean shutdown at any step above, since the remaining files with instructions is replayed on the next restart, after that the remaining contents of the tmp directory is deleted. Unfortunately this algorithm doesn't work under Windows because it disallows removing and moving files, which are in use. So the new algorithm for background merge has been implemented: 1. Merge source parts into a destination part inside the partition directory itself. E.g. now the partition directory may contain both complete and incomplete parts. 2. Atomically update the parts.json file with the new list of parts after the merge, e.g. remove the source parts from the list and add the destination part to the list before storing it to parts.json file. 3. Remove the source parts from disk when they are no longer used. This algorithm guarantees that either source parts or destination part is visible in the partition after unclean shutdown at any step above, since incomplete partitions from step 1 or old source parts from step 3 are removed on the next startup by inspecting parts.json file. This algorithm should work under Windows, since it doesn't remove or move files in use. This algorithm has also the following benefits: - It should work better for NFS. - It fits object storage semantics. The new algorithm changes data storage format, so it is impossible to downgrade to the previous versions of VictoriaMetrics after upgrading to this algorithm. Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3236 Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3821 Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/70
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func (ph *partHeader) WriteMetadata(partPath string) error {
metadata, err := json.Marshal(ph)
if err != nil {
logger.Panicf("BUG: cannot marshal partHeader metadata: %s", err)
}
metadataPath := partPath + "/metadata.json"
if err := fs.WriteFileAtomically(metadataPath, metadata, false); err != nil {
return fmt.Errorf("cannot create %q: %w", metadataPath, err)
}
return nil
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}