I'm currently writing a script that reads reddit comments from a large file (5 gigs compressed, ~30 gigs of data being read). My script reads the comments, checks for some text, parses them, and sends them off to a Queue function (running in a seperate thread). No matter what I do, I always get a MemoryError on a specific iteration (number 8162735 if it matters in the slightest). And I can't seem to handle the error, Windows just keeps shutting down python when it hits. Here's my script:
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()
Does anybody know what I'm doing wrong?
Looks like its not in your code but may be in the data. Have you tried to skip that iteration?
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()
The technical post webpages of this site follow the CC BY-SA 4.0 protocol. If you need to reprint, please indicate the site URL or the original address.Any question please contact:yoyou2525@163.com.