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Linux error 32 broken pipe

Как решить socket.error: [Errno 32] Broken pipe закрытия сокета?

Как решить socket.error: [Errno 32] Broken pipe закрытия сокета? Клиентский часть tcp socket выводит разрыв соединение Traceback (most recent call last): File «clinsock.py», line 25, in tcpCliSock.send(inp) socket.error: [Errno 32] Broken pipe

Перемещено tailgunner из general

Не пытайся писать в закрытый сокет.

Попадробней смотри в своем же коде. Ситуация когда сервер закрыл соединение, а клиент пытается в него писать.

И как мне сделать так что бы соединение не закрывался.

Программирование процесс творческий — придумай что-нибудь. (Строки 64-66)

Я там всё перепробовал с break и tcpCli.close()

если другая сторона закрыла сокет, то уже ничего поделать нельзя
нужно разобраться почему она это сделала

В сем сапосибо я уже исправил проблему добавил исклучение try except.

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BrokenPipeError: [Errno 32] Broken pipe #143

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ShaohongBai commented Jul 4, 2018

I am getting the error of BrokenPipeError: [Errno 32] Broken pipe when using ProessPool module. Could you let me know what is likely to be the issue?

Process ForkPoolWorker-9:
Traceback (most recent call last):
File «/usr/lib/python3.5/multiprocessing/pool.py», line 125, in worker
put((job, i, result))
File «/home/ubuntu/.local/lib/python3.5/site-packages/sklearn/externals/joblib/pool.py», line 386, in put
return send(obj)
File «/home/ubuntu/.local/lib/python3.5/site-packages/sklearn/externals/joblib/pool.py», line 372, in send
self._writer.send_bytes(buffer.getvalue())
File «/usr/lib/python3.5/multiprocessing/connection.py», line 200, in send_bytes
self._send_bytes(m[offset:offset + size])
File «/usr/lib/python3.5/multiprocessing/connection.py», line 404, in _send_bytes
self._send(header + buf)
File «/usr/lib/python3.5/multiprocessing/connection.py», line 368, in _send
n = write(self._handle, buf)
BrokenPipeError: [Errno 32] Broken pipe

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File «/usr/lib/python3.5/multiprocessing/process.py», line 249, in _bootstrap
self.run()
File «/usr/lib/python3.5/multiprocessing/process.py», line 93, in run
self._target(*self._args, **self._kwargs)
File «/usr/lib/python3.5/multiprocessing/pool.py», line 130, in worker
put((job, i, (False, wrapped)))
File «/home/ubuntu/.local/lib/python3.5/site-packages/sklearn/externals/joblib/pool.py», line 386, in put
return send(obj)
File «/home/ubuntu/.local/lib/python3.5/site-packages/sklearn/externals/joblib/pool.py», line 372, in send
self._writer.send_bytes(buffer.getvalue())
File «/usr/lib/python3.5/multiprocessing/connection.py», line 200, in send_bytes
self._send_bytes(m[offset:offset + size])
File «/usr/lib/python3.5/multiprocessing/connection.py», line 404, in _send_bytes
self._send(header + buf)
File «/usr/lib/python3.5/multiprocessing/connection.py», line 368, in _send
n = write(self._handle, buf)
BrokenPipeError: [Errno 32] Broken pipe
Process ForkPoolWorker-8:
Traceback (most recent call last):
File «/usr/lib/python3.5/multiprocessing/pool.py», line 125, in worker
put((job, i, result))
File «/home/ubuntu/.local/lib/python3.5/site-packages/sklearn/externals/joblib/pool.py», line 386, in put
return send(obj)
File «/home/ubuntu/.local/lib/python3.5/site-packages/sklearn/externals/joblib/pool.py», line 372, in send
self._writer.send_bytes(buffer.getvalue())
File «/usr/lib/python3.5/multiprocessing/connection.py», line 200, in send_bytes
self._send_bytes(m[offset:offset + size])
File «/usr/lib/python3.5/multiprocessing/connection.py», line 404, in _send_bytes
self._send(header + buf)
File «/usr/lib/python3.5/multiprocessing/connection.py», line 368, in _send
n = write(self._handle, buf)
BrokenPipeError: [Errno 32] Broken pipe

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File «/usr/lib/python3.5/multiprocessing/process.py», line 249, in _bootstrap
self.run()
File «/usr/lib/python3.5/multiprocessing/process.py», line 93, in run
self._target(*self._args, **self._kwargs)
File «/usr/lib/python3.5/multiprocessing/pool.py», line 130, in worker
put((job, i, (False, wrapped)))
File «/home/ubuntu/.local/lib/python3.5/site-packages/sklearn/externals/joblib/pool.py», line 386, in put
return send(obj)
File «/home/ubuntu/.local/lib/python3.5/site-packages/sklearn/externals/joblib/pool.py», line 372, in send
self._writer.send_bytes(buffer.getvalue())
File «/usr/lib/python3.5/multiprocessing/connection.py», line 200, in send_bytes
self._send_bytes(m[offset:offset + size])
File «/usr/lib/python3.5/multiprocessing/connection.py», line 404, in _send_bytes
self._send(header + buf)
File «/usr/lib/python3.5/multiprocessing/connection.py», line 368, in _send
n = write(self._handle, buf)
BrokenPipeError: [Errno 32] Broken pipe
Process ForkPoolWorker-7:
Traceback (most recent call last):
File «/usr/lib/python3.5/multiprocessing/pool.py», line 125, in worker
put((job, i, result))
File «/home/ubuntu/.local/lib/python3.5/site-packages/sklearn/externals/joblib/pool.py», line 386, in put
return send(obj)
File «/home/ubuntu/.local/lib/python3.5/site-packages/sklearn/externals/joblib/pool.py», line 372, in send
self._writer.send_bytes(buffer.getvalue())
File «/usr/lib/python3.5/multiprocessing/connection.py», line 200, in send_bytes
self._send_bytes(m[offset:offset + size])
File «/usr/lib/python3.5/multiprocessing/connection.py», line 404, in _send_bytes
self._send(header + buf)
File «/usr/lib/python3.5/multiprocessing/connection.py», line 368, in _send
n = write(self._handle, buf)
BrokenPipeError: [Errno 32] Broken pipe

During handling of the above exception, another exception occurred:

Источник

Linux Error: 32: Broken pipe

Question: What causes this Linux error 32 broken pipe error:

TNS-12560: TNS:protocol adapter error
TNS-00517: Lost contact
Linux Error: 32: Broken pipe

How do I fix this error 32?

Answer: The Linux error 32 broken pipe indicates that the listener process could not create a dedicated server process to hand the client request.

This error is caused by a resource exhaustion issue, either within the OS or within the Oracle instance. Possible causes for the Linux error 32 include:

  • You may have reached the max processes limit set on the database and cannot spawn a new server connection process.
  • You have hit some RAM memory limit or some other OS issue that is preventing the server process from been created (spawned).
  • The log file for the listener (located at $ORACLE_HOME/network/log/listener.log) has reached the 2GB file size limit on Linux. To alleviate the problem, simply archive or delete the listener log file and restart the listener process with lsnrctl start.
  • This broken pipe error can also be a permission issue. If the sticky bit is not set up for the owner permission of @ORACLE_HOME/bin/oracle binary file, then the user could not complete the process required to handover the inbound connection to the database, which give the Linux error 32: broken pipe.

$ chmod 6751 /u01/app/oracle/product/12.1.0/dbhome_1/bin/oracle

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Cups — Possible DDoS and Broken Pipe (errno=32)

I am running a Cups Server on IPPS with a valid Letsencrypt Cert. For the past months it worked well for clients with different OS (Win7-10, Mac, Linux)

They are all using the same universal Post Script Driver.

For the past few days however i have a client that opens a lot of connections (sample log below) triggering my MaxClientsPerHost 80 Limit. About 2-5 connections per second are opened from one IP/Client.

As a result, when the clients tries to print sth it does happen with a high delay.

We tried reinstalling the client machine/drivers. Deleting and re-adding the Printer but to no avail.

An extensive google research yielded no hints as to why this happens.

So in hope of finding someone with a similar problem/deep cups knowledge i post my configuration below.

Edit for Printer Configuration/Info

  • The Printer runs on Debian 10.
  • Uses cups-pdf as printer wrapped with tea4cups — It will output a simple .ps file
  • It requires authentication which is correctly configured and working on the client
  • It is of no importance if there are already jobs in the queue
  • All clients use the same driver

Any hints very welcome.

Relevant Error Line: (from log below)

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