while using orthomcl,

i am planning to load my local data into the similarsequence table.

but the problem is that my data is too large, it will take forever to load my data.

so i tried the code below to do some multithreading.

import threading
import os

class Worker(threading.Thread):
    def __init__(self, name):
        super().__init__()
        self.name = name

    def run(self):
        os.system ('/bin/bash -c "./orthomclLoadBlast ./orthomcl.config ./similarSequence_ar.txt"')

threads = []
for i in range(3):
    thread = Worker(i)
    thread.start()
    threads.append(thread)

for thread in threads:
    thread.join()

would this work for multithreading? increase my cpu usage and decrease my working time?

please help me i am running outta time

thank you!