I have a large csv file containing 15 columns and approximately 1 million rows. I want to parse the data into tinyDB. The code I use is below:

```
import csv
from tinydb import TinyDB

db = TinyDB('db.monitor')
table = db.table('Current')

i=0

datafile = open('newData.csv', 'rb')
data=csv.reader(datafile, delimiter = ';')

for row in data:
    table.insert({'WT_ID': row[0], 'time': row[1], 'MeanCurrent': row[2], 'VapourPressure': row[3], 'MeanVoltage':row[4], 'Temperature': row[5], 'Humidity': row[6], 'BarPressure': row[7], 'RPM': row[8], 'WindSector': row[9], 'WindSpeed': row[10], 'AirDensity': row[12], 'VoltageDC': row[13], 'PowerSec': row[14], 'FurlingAngle': row[15]})
    i=i+1
    print i

```

However, it really takes forever. I have set the i variable to track the progress, and while in the first lines it runs fast, now its been more than an hour and it has parsed about 10000 lines at a pace of almost 1Hz 

I couldn't find anything similar so any help would be appreciated

Thank you