【发布时间】:2017-03-24 05:16:30
【问题描述】:
我正在尝试对一个对大文件执行多个操作的函数进行多处理,但我得到了 knownle pickling 错误,尽管我使用的是 partial。
函数看起来像这样:
def process(r,intermediate_file,record_dict,record_id):
res=0
record_str = str(record_dict[record_id]).upper()
start = record_str[0:100]
end= record_str[len(record_seq)-100:len(record_seq)]
print sample, record_id
if r=="1":
if something:
res = something...
intermediate_file.write("...")
if something:
res = something
intermediate_file.write("...")
if r == "2":
if something:
res = something...
intermediate_file.write("...")
if something:
res = something
intermediate_file.write("...")
return res
我在另一个函数中调用它的方式如下:
def call_func():
intermediate_file = open("inter.txt","w")
record_dict = get_record_dict() ### get infos about each record as a dict based on the record_id
results_dict = {}
pool = Pool(10)
for a in ["a","b","c",...]:
if not results_dict.has_key(a):
results_dict[a] = {}
for b in ["1","2","3",...]:
if not results_dict[a].has_key(b):
results_dict[a][b] = {}
results_dict[a][b]['res'] = []
infile = open(a+b+".txt","r")
...parse the file and return values in a list called "record_ids"...
### now call the function based on for each record_id in record_ids
if b=="1":
func = partial(process,"1",intermediate_file,record_dict)
res=pool.map(func, record_ids)
## append the results for each pair (a,b) for EACH RECORD in the results_dict
results_dict[a][b]['res'].append(res)
if b=="2":
func = partial(process,"2",intermediate_file,record_dict)
res = pool.map(func, record_ids)
## append the results for each pair (a,b) for EACH RECORD in the results_dict
results_dict[a][b]['res'].append(res)
... do something with results_dict...
想法是,对于record_ids中的每条记录,我想保存每对(a,b)的结果。
我不确定是什么给了我这个错误:
File "/code/Python/Python-2.7.9/Lib/multiprocessing/pool.py", line 251, in map
return self.map_async(func, iterable, chunksize).get()
File "/code/Python/Python-2.7.9/Lib/multiprocessing/pool.py", line 558, in get
raise self._value
cPickle.PicklingError: Can't pickle <type 'function'>: attribute lookup __builtin__.function faile
d
【问题讨论】: