python multiprocessing help -- to extract 10 sql table into csv

[mg24]

is this correct way of doing multi processing.

import pyodbc
import csv
import os
import time
import multiprocessing


def Extract_to_csv(tbl,cursor):
    qry = f"Select * from {tbl}"
    cursor.execute(qry)
    data = cursor.fetchall()
    print(len(data))
    folderPath = f"D:\\test_data\\output{tbl}"
    count = 0
    # for reply in cursor.execute(qry):**
    for x in data:
        count = count + 1
        print(count)
        fname = "Row"+str(count)+".csv"
        fullpath = os.path.join(folderPath,fname)
        print(fullpath)
        with open(fullpath,"w",newline="") as outfile:
            writer = csv.writer(outfile,delimiter="|",quoting=csv.QUOTE_NONNUMERIC)
            writer.writerow(col[0] for col in cursor.description)
            writer.writerow(x)
            print(f"I am row {count}",x)

def main():
    connection = pyodbc.connect(
        'DRIVER={ODBC Driver 17 for SQL Server};SERVER=DESKTOP-GQK64O6;DATABASE=Customer;Trusted_Connection=yes;')
    cursor = connection.cursor()

    p1 = multiprocessing.Process(target=Extract_to_csv, args=(table1,cursor,))
    p2 = multiprocessing.Process(target=Extract_to_csv, args=(table2,cursor,))
    p3 = multiprocessing.Process(target=Extract_to_csv, args=(table3,cursor,))
    p4 = multiprocessing.Process(target=Extract_to_csv, args=(table4,cursor,))
    p5 = multiprocessing.Process(target=Extract_to_csv, args=(table5,cursor,))
    p6 = multiprocessing.Process(target=Extract_to_csv, args=(table6,cursor,))
    p7 = multiprocessing.Process(target=Extract_to_csv, args=(table7,cursor,))
    p8 = multiprocessing.Process(target=Extract_to_csv, args=(table8,cursor,))
    p9 = multiprocessing.Process(target=Extract_to_csv, args=(table9,cursor,))
    p10 = multiprocessing.Process(target=Extract_to_csv, args=(table10,cursor,))

    p1.start()
    p2.start()
    p3.start()
    p4.start()
    p5.start()
    p6.start()
    p7.start()
    p8.start()
    p9.start()
    p10.start()

    p1.join()
    p2.join()
    p3.join()
    p4.join()
    p5.join()
    p6.join()
    p7.join()
    p8.join()
    p9.join()
    p10.join()
    
    print("End of main")


if __name__ == "__main__":
    start_time = time.process_time()
    main()
    end_time = time.process_time()
    print("Execution time is : ", end_time - start_time)