python multiprocessing to download sql table

[mg24]

Hi Team,

is it possible to use multiprocessing in below scenario.
downloading sql table into csv files.
to speed up downloading.

Import csv
Quary = "select * from UK_Table"
x = 0

With open("E:\\backup\\output.csv","w","newline="") as outfile
	writer = csv.writer(outfile,quoting = csv.QUOTE_NONNUMERIC)
	writer.writerows(col[0] for col in cursor.description)
	While True:
		rows = cursor.fetchmany(10000)
		if len(rows) ==0:
			print("no records found")
			break
		else:
	          x = x+len(rows)
               print(x)
               for row in rows:
                  writer.writerows(row)


conn.close()
print("success")
print('time taken' . time.time()-initial,"Seconds")



1)  Example of multiprocessing.

import multiprocessing
import os
def square(n):
    print("Worker process id for {0}:{1}".format(n,os.getpid()))
    return(n*n)

if __name__=="__main__":
    #input list
    arr = [1, 2, 3, 4, 5]

    #creating a pool object
    p = multiprocessing.Pool()

    #map list to target function
    result = p.map(square,arr)

    print("Square of each elements:")
    print(result)