Python 尝试在多线程中处理链接时出错

当我试图通过python3.4中的asyncio和concurrent.futures模块处理20个线程的100k url时，我遇到了这个错误。它出现后，就像2-5分钟的脚本工作

concurrent.futures.process.BrokenProcessPool: A process in the process pool was terminated abruptly while the future was running or pending.
Task exception was never retrieved
future: <Task finished coro=<main() done, defined at async.py:173> exception=BrokenProcessPool('A process in the process pool was terminated abruptly while the future was running or pending.',)>

我试图优化我的代码，但仍然得到这个错误，前面已经描述过

代码：

---

在loop.close之后添加p.shutdown以等待完成所有执行的任务

仍然得到相同的错误。回溯到这一行：从loop.run\u in\u executorp，operation，item产生的收益现在有什么问题吗？啊。您在操作调用中得到未处理的异常。

import asyncio
import time
from concurrent.futures import ProcessPoolExecutor
from grab import Grab
import random
import psycopg2

# Open connection to the database
connection = psycopg2.connect(database="<....>",
                              user="<....>",
                              password="<....>",
                              host="127.0.0.1",
                              port="5432")

# Create a new cursor for it
c = connection.cursor()

# Select settings from database
c.execute("SELECT * FROM <....> WHERE id=1;")
data = c.fetchall()

# Get time starting script
start_time = time.time()

def operation(link):
    # init grab framework
    g = Grab()
    # try to find some elements on the page
    try:
        # open link
        g.go(link)
        # some link processing
        <....>
    except:
        pass


@asyncio.coroutine
def main(item):
    yield from loop.run_in_executor(p, operation, item)

# Create async loop, declare number of threads
loop = asyncio.get_event_loop()
p = ProcessPoolExecutor(data[0][13])  # =20

# Init tasks list - empty
tasks = []

# Select all urls which need to process
c.execute ("SELECT url FROM <....> ORDER BY id;")

# Forming tasks
for item in c.fetchall():
    tasks.append(main(item[0]))

# Close main connection to the database
connection.close()
# Run async tasks
loop.run_until_complete(asyncio.wait(tasks))
# Close loop
loop.close()
# Get script finish time
print("--- %s seconds ---" % (time.time() - start_time))