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125 lines
2.2 KiB
125 lines
2.2 KiB
package backend
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import (
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"github.com/seaweedfs/seaweedfs/weed/glog"
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. "github.com/seaweedfs/seaweedfs/weed/storage/types"
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"io"
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"os"
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"runtime"
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"time"
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)
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var (
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_ BackendStorageFile = &DiskFile{}
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)
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const isMac = runtime.GOOS == "darwin"
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type DiskFile struct {
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File *os.File
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fullFilePath string
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fileSize int64
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modTime time.Time
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}
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func NewDiskFile(f *os.File) *DiskFile {
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stat, err := f.Stat()
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if err != nil {
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glog.Fatalf("stat file %s: %v", f.Name(), err)
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}
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offset := stat.Size()
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if offset%NeedlePaddingSize != 0 {
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offset = offset + (NeedlePaddingSize - offset%NeedlePaddingSize)
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}
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return &DiskFile{
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fullFilePath: f.Name(),
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File: f,
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fileSize: offset,
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modTime: stat.ModTime(),
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}
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}
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func (df *DiskFile) ReadAt(p []byte, off int64) (n int, err error) {
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if df.File == nil {
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return 0, os.ErrClosed
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}
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n, err = df.File.ReadAt(p, off)
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if err == io.EOF && n == len(p) {
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err = nil
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}
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return
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}
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func (df *DiskFile) WriteAt(p []byte, off int64) (n int, err error) {
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if df.File == nil {
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return 0, os.ErrClosed
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}
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n, err = df.File.WriteAt(p, off)
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if err == nil {
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waterMark := off + int64(n)
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if waterMark > df.fileSize {
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df.fileSize = waterMark
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df.modTime = time.Now()
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}
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}
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return
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}
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func (df *DiskFile) Write(p []byte) (n int, err error) {
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return df.WriteAt(p, df.fileSize)
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}
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func (df *DiskFile) Truncate(off int64) error {
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if df.File == nil {
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return os.ErrClosed
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}
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err := df.File.Truncate(off)
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if err == nil {
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df.fileSize = off
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df.modTime = time.Now()
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}
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return err
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}
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func (df *DiskFile) Close() error {
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if df.File == nil {
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return nil
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}
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err := df.Sync()
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var err1 error
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if df.File != nil {
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// always try to close
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err1 = df.File.Close()
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}
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// assume closed
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df.File = nil
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if err != nil {
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return err
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}
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if err1 != nil {
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return err1
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}
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return nil
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}
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func (df *DiskFile) GetStat() (datSize int64, modTime time.Time, err error) {
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if df.File == nil {
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err = os.ErrClosed
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}
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return df.fileSize, df.modTime, err
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}
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func (df *DiskFile) Name() string {
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return df.fullFilePath
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}
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func (df *DiskFile) Sync() error {
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if df.File == nil {
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return os.ErrClosed
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}
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if isMac {
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return nil
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}
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return df.File.Sync()
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}
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