Deserialize Raw Data

Why is this data serialized?

The intermediate data, where minute values are not aggregated, has roughly about 240gb, and it is to be expected that is increases by about 15% in 2023 update. By aggregating and serializing these values the database can be compresssed to under 10gb. Nevertheless it complicates the deserialization of this data. While our software can export the minute values one-click, using it in raw data requires a bit of coding.

Refer to chapter Full Unpack to learn how to completely unpack minute data.

Encoding

The raw data field is a stream of 60 little endian IEEE 754 floats, so it has exactly 240 bytes. The first 4 bytes represent the first minute of the hour and so on. Note that 0x000000 is defined to be NULL (no value).

Python example

 def GetRawValues(data):
   ret=[]
   for i in range(int(len(data)/4)):
       #if (data[i*4]==0 and data[i*4+1]==0 and data[i*4+2]==0 and data[i*4+3]==0): continue # uncomment this if you do not want to include null values
       ret.append(struct.unpack('<f',data[i*4:i*4+4])[0])
   return ret

C# example

       public static float?[] GetRawValues(byte[] data)
       {
           byte[] buf = new byte[4];
           float?[] ret = new float?[data.Length / 4];
           for(int i = 0; i < data.Length; i += 4)
           {
               buf[0] = data[i];
               buf[1] = data[i+1];
               buf[2] = data[i+2];
               buf[3] = data[i+3];
               if (buf[0] == 0 && buf[1] == 0 && buf[2] == 0 && buf[3] == 0) continue; // ignore null values
               ret[i / 4] = BitConverter.ToSingle(buf); // note: if you are on a BigEndian machine you need to flip buf
           }
           return ret;
       }

Full Unpack

We provide a simple unpack python script on our github code repository.