fs-cache provides a quick way to store and retrieve frequently accessed data, significantly enhancing your application performance and reducing database queries / API calls.
go get github.com/iqquee/fs-cache@latest
fscache "github.com/iqquee/fs-cache"
Memdis gives you a Redis-like feature similarly as you would with a Redis database.
Set() adds a new data into the in-memory storage
fs := fscache.New()
// the third param is an optional param used to set the expiration time of the set data
if err := fs.Memdis().Set("key1", "user1", 5*time.Minute); err != nil {
fmt.Println("error setting key1:", err)
}
Get() retrieves a data from the in-memory storage
fs := fscache.New()
result, err := fs.Memdis().Get("key1")
if err != nil {
fmt.Println("error getting key 1:", err)
}
fmt.Println("key1:", result)
Memgodb gives you a MongoDB-like feature similarly as you would with a MondoDB database.
Persist is used to write data to file. All data will be saved into a JSON file.
This method will make sure all your data are saved. A cronjob runs ever minute and writes your data into a JSON file to ensure data integrity
fs := fscache.New()
if err := fs.Memgodb().Persist(); err != nil {
fmt.Println(err)
}
Insert is used to insert a new record into the storage.
type User struct {
Name string `json:"name"`
Age int `json:"age"`
}
fs := fscache.New()
// to insert single record
var user User
user.Name = "jane doe"
user.Age = 20
if err := fs.Memgodb().Collection(User{}).Insert(user); err != nil {
fmt.Println(err)
}
// to insert multiple records
var users = []struct {
Name string `json:"name"`
Age int `json:"age"`
}{
{Name: "Jane doe",
Age: 25},
{Name: "Jane dice",
Age: 20},
}
if err := fs.Memgodb().Collection("user").Insert(users); err != nil {
fmt.Println(err)
}
InsertFromJsonFile adds records into the storage from a JSON file.
fs := fscache.New()
if err := fs.Memgodb().Collection("user").InsertFromJsonFile("path to JSON file"); err != nil {
fmt.Println(err)
}
Filter is used to filter records from the storage. It has two methods which are First() and All().
First is a method available in Filter(), it returns the first matching record from the filter.
fs := fscache.New()
// filter out record of age 35
filter := map[string]interface{}{
"age": 35.0,
}
result, err := fs.Memgodb().Collection(User{}).Filter(filter).First()
if err != nil {
fmt.Println(err)
}
fmt.Println(result)
All is a method available in Filter(), it returns the all matching records from the filter.
fs := fscache.New()
// filter out record of age 35
filter := map[string]interface{}{
"age": 35.0,
}
// to get all records with matching filter from the storage
matchingRecords, err := fs.Memgodb().Collection(User{}).Filter(filter).All()
if err != nil {
fmt.Println(err)
}
fmt.Println(matchingRecords)
// to get all records from the collection from the storage
allRecords, err := fs.Memgodb().Collection(User{}).Filter(nil).All()
if err != nil {
fmt.Println(err)
}
fmt.Println(allRecords)
For an exhaustive documentation see the examples folder https://github.com/iqquee/fs-cache/tree/main/example
Anyone can contribute to this library ;). So, feel free to improve on and add new features. I await your pull requests.