previous information summary

Today, I wanted to write a multi-process Python script to upload code to the server, so I tested it locally with a virtual machine, but it always reported an error. The specific error information is as follows

Traceback (most recent call last):
  File "D:\python3.6.7\lib\multiprocessing\process.py", line 258, in _bootstrap
    self.run()
  File "D:\python3.6.7\lib\multiprocessing\process.py", line 93, in run
    self._target(*self._args, **self._kwargs)
  File "D:\Documents\education-server\fabfile.py", line 88, in upload
    sftp.put(local_path, target_path, confirm=True)
  File "D:\python3.6.7\lib\site-packages\paramiko\sftp_client.py", line 759, in put
    return self.putfo(fl, remotepath, file_size, callback, confirm)
  File "D:\python3.6.7\lib\site-packages\paramiko\sftp_client.py", line 717, in putfo
    reader=fl, writer=fr, file_size=file_size, callback=callback
  File "D:\python3.6.7\lib\site-packages\paramiko\util.py", line 301, in __exit__
    self.close()
  File "D:\python3.6.7\lib\site-packages\paramiko\sftp_file.py", line 82, in close
    self._close(async_=False)
  File "D:\python3.6.7\lib\site-packages\paramiko\sftp_file.py", line 104, in _close
    self.sftp._request(CMD_CLOSE, self.handle)
  File "D:\python3.6.7\lib\site-packages\paramiko\sftp_client.py", line 813, in _request
    return self._read_response(num)
  File "D:\python3.6.7\lib\site-packages\paramiko\sftp_client.py", line 843, in _read_response
    t, data = self._read_packet()
  File "D:\python3.6.7\lib\site-packages\paramiko\sftp.py", line 205, in _read_packet
    raise SFTPError("Garbage packet received")
paramiko.sftp.SFTPError: Garbage packet received

I searched the Internet for a long time and didn’t find the answer. I didn’t remember until I saw this. It seems that my virtual machine Linux has set up a time synchronization background process in ~ /. Bashrc. Each time I enter the Linux terminal, I will synchronize the time
so I commented out this configuration and run it again

can’t pickle_thread.lock objects

Another problem is that the parameters of multiple processes cannot be user-defined objects, otherwise the following errors will occur

... ... ...
TypeError: can't pickle _thread.lock objects

The reason for this problem is that I passed the user-defined object parameters in the multi process running function. Just write the user-defined object into the function
before modification

p1 = Process(target=ssh_obj.upload, args=("192.168.129.10", "admin", "aa.jar", "/root/aa.jar"))

After modification

p1 = Process(target=upload, args=("192.168.129.10", "admin", "aa.jar", "/root/aa.jar"))    # 重写一个函数，将对象放入函数中