我目前正在编写一个脚本,可以从一个大文件中读取reddit评论(压缩5 gig,正在读取~30 gig的数据)。我的脚本读取注释,检查一些文本,解析它们,并将它们发送到队列函数(在单独的线程中运行)。无论我做什么,我总是在特定迭代中得到一个 MemoryError(如果它最重要的话,8162735数字)。而且我似乎无法处理错误,Windows只是在遇到python时不断关闭python。这是我的脚本:
import ujson
from tqdm import tqdm
import bz2
import json
import threading
import spacy
import Queue
import time
nlp = spacy.load('en')
def iter_comments(loc):
with bz2.BZ2File(loc) as file_:
for i, line in (enumerate(file_)):
yield ujson.loads(line)['body']
objects = iter_comments('RC_2015-01.bz2')
q = Queue.Queue()
f = open("reddit_dump.bin", 'wb')
def worker():
while True:
item = q.get()
f.write(item)
q.task_done()
for i in range(0, 2):
t = threading.Thread(target=worker)
t.daemon = True
t.start()
def finish_parse(comment):
global q
try:
comment_parse = nlp(unicode(comment))
comment_bytes = comment_parse.to_bytes()
q.put(comment_bytes)
except MemoryError:
print "MemoryError with comment {0}, waiting for Queue to empty".format(comment)
time.sleep(2)
except AssertionError:
print "AssertionError with comment {0}, skipping".format(comment)
for comment in tqdm(objects):
comment = str(comment.encode('ascii', 'ignore'))
if ">" in comment:
c_parse_thread = threading.Thread(target=finish_parse, args=(comment,))
c_parse_thread.start()
q.join()
f.close()
有人知道我做错了什么吗?
看起来它不在您的代码中,但可能在数据中。您是否尝试跳过该迭代?
x = 0
for comment in tqdm(objects):
x += 1
if x != 8162735
comment = str(comment.encode('ascii', 'ignore'))
if ">" in comment:
c_parse_thread = threading.Thread(target=finish_parse, args=(comment,))
c_parse_thread.start()