go/data
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Removed file extension

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This commit is contained in:
Eduard Urbach 2023-07-06 16:51:38 +02:00
parent 808ff00e3b
commit 9b9aef76eb
Signed by: akyoto
GPG Key ID: C874F672B1AF20C0
2 changed files with 11 additions and 9 deletions
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14
Collection.go
View File

@ -5,7 +5,6 @@ import (
"os"
"path/filepath"
"reflect"
"strings"
"sync"
)
@ -105,7 +104,7 @@ func (c *collection[T]) Clear() {
// keyFile returns the file path for the given key.
func (c *collection[T]) keyFile(key string) string {
return filepath.Join(c.directory, key+".json")
return filepath.Join(c.directory, key)
}
// loadFromDisk loads the collection data from the disk.
@ -118,8 +117,8 @@ func (c *collection[T]) loadFromDisk() error {
files, err := file.Readdirnames(0)
for _, name := range files {
fileError := c.loadFileFromDisk(name)
for _, key := range files {
fileError := c.loadFileFromDisk(key)
if fileError != nil {
return fileError
@ -134,8 +133,8 @@ func (c *collection[T]) loadFromDisk() error {
}
// loadFileFromDisk loads a single file from the disk.
func (c *collection[T]) loadFileFromDisk(name string) error {
file, err := os.Open(filepath.Join(c.directory, name))
func (c *collection[T]) loadFileFromDisk(key string) error {
file, err := os.Open(filepath.Join(c.directory, key))
if err != nil {
return err
@ -146,10 +145,10 @@ func (c *collection[T]) loadFileFromDisk(name string) error {
err = decoder.Decode(value)
if err != nil {
file.Close()
return err
}
key := strings.TrimSuffix(name, filepath.Ext(name))
c.data.Store(key, value)
return file.Close()
}
@ -167,6 +166,7 @@ func (c *collection[T]) writeFileToDisk(key string, value *T) error {
err = encoder.Encode(value)
if err != nil {
file.Close()
return err
}

6
README.md
View File

@ -44,6 +44,8 @@ You can add as many directory hierarchies as you need but I recommend using a si
## Limitations
This storage mechanism is suitable for small to medium data volume.
* Keys cannot be empty and they cannot contain a directory separator like `/`.
It is not suited for big data, however the package is pretty lightweight so you can combine it with a big data store.
* This storage mechanism is only suitable for small to medium data volume.
Ocean isn't meant to be used for big data, however the package is very lightweight so you can combine it with a big data store.