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