GO-db: Independent Address File Based Database for Go-Lang

Go-Lang is a fairly new language by Google, which translates to the best processing speeds, compared to the other languages in the market.

However, there is lack of any good File Based Database Management System, which could be reliable enough to meet the vigorous computing needs, and at the same time be simple to use.

We have made an attempt to bridge this gap, by developing GO-db.

First: Why to use GO-db?

GO-db is a simple to use file based database, which is light, simple and efficient on resources. It has been designed with simplicity in AIM.

Installation

add "github.com/Harkishen-Singh/GO-db/gobase" to import block of your file and open the terminal, and type go get -v -t -d && go build -v

Usage

---

Saving

• Saving data into the file
  • To save a data of String Type:
    gobase.Save(path string, data *string) bool
    
    
  • Similarly to save the data of different datatypes:
    gobase.Save{datatype_code}(path string, data *{datatype}) bool
    

Example:
var details = "some data"
var id uint16 = 1234
gobase.Save("Test", &details)
gobase.SaveUint16("Random/Path/Test", &id)
return_param 1: Status i.e., True if successful, else False

• Saving array type data into the file
  • To save an array of String Type:
    gobase.SaveArr(path string, data *string) bool
    
    
  • Similarly to save an array of different datatypes:
    gobase.SaveArr{datatype_code}(path string, data *{datatype}) bool
    

Example:

var details = {"Some", "Data"}
var vals = []uint8{1,2,3,4,5}
gobase.SaveArr("TestArray", &details)
gobase.SaveArrUint8("Random/Path/TestArray", &vals)
return_param 1: Status i.e., True if successful, else False

The datatype codes for different datatypes are:

Datatype	Datatype Code
Unsigned Integer8	Uint8
Unsigned Integer16	Uint16
Unsigned Integer32	Uint32
Unsigned Integer64	Uint64
Signed Integer8	Int8
Signed Integer16	Int16
Signed Integer32	Int32
Signed Integer64	Int64
Integer	Int
Float32	Float32
Float64	Float64

---

Retriving

• To retrieve the data:
  gobase.Retrive(path string) (string, string, bool)
  return_param 1: Available data at the specified path if successful; else ERROR_CODE: DOCUMENT_UNAVAILABLE or ERROR
  return_param 2: DataType of the stored data
  return_param 3: Status i.e., True if successful, else False

Example:

gobase.Retrive("Test") //output: some data string true
gobase.Retrive("Random/Path/Test") //output: 1234 _uint8 true

• To Retrieve an array:
  gobase.RetriveArr(path string) ([]string, string, bool)
  return_param 1: Available data at the specified path if successful; else ERROR_CODE: DOCUMENT_UNAVAILABLE or ERROR
  return_param 2: DataType of the stored data
  return_param 3: Status i.e., True if successful, else False

Example:

gobase.RetriveArr("TestArray") //output:[some data] string true
gobase.RetriveArr("Random/Path/TestArray") //output:[1 2 3 4 5] _uint8 true

---

Get Available Collections at an Address / Path

gobase.CollectionsAvaliable(path string) ([]string, bool)
return_param 1: Available Collections at the specified path
return_param 2: Status i.e., True if successful, else False

Example:

gobase.CollectionsAvaliable("/") // output: [Test.data, TestArray.data, Random]
gobase.CollectionsAvaliable("Random") // output: [Path]

---

Deleting

It deletes the mentioned file and cleans up all the Empty Directories in the Warehouse Folder

gobase.Delete(path string) bool
return_param 1: Status i.e., True if successful, else False

Example:

gobase.Delete("/") // deletes all collections
gobase.Delete("Random") // deletes Random collection

---