我使用mongodump
命令转储了一个mongodb集合。输出是一个转储目录,其中包含以下文件:
dump/
|___coll.bson
|___coll.metadata.json
如何将导出的文件打开到在python中工作的字典数组? 我尝试了以下但没有工作:
with open('dump/coll.bson', 'rb') as f:
coll_raw = f.read()
import json
coll = json.loads(coll_raw)
# Using pymongo
from bson.json_util import loads
coll = loads(coll_raw)
ValueError: No JSON object could be decoded
答案 0 :(得分:4)
你应该尝试:
from bson import BSON
with open('dump/coll.bson', 'rb') as f:
coll_raw = f.read()
coll = bson.decode_all(coll_raw)
答案 1 :(得分:0)
我知道很久以前就已经回答了这个问题,但您可以尝试单独解码每个文档,然后您就知道哪个文档导致了问题。
我使用此库:https://github.com/bauman/python-bson-streaming
from bsonstream import KeyValueBSONInput
f = open("restaurants.bson", 'rb')
stream = KeyValueBSONInput(fh=f)
for dict_data in stream:
print dict_data
f.close()
我看到25359条记录似乎都解码为:
{u'_id': ObjectId('5671bb2e111bb7b9a7ce4d9a'),
u'address': {u'building': u'351',
u'coord': [-73.98513559999999, 40.7676919],
u'street': u'West 57 Street',
u'zipcode': u'10019'},
u'borough': u'Manhattan',
u'cuisine': u'Irish',
u'grades': [{u'date': datetime.datetime(2014, 9, 6, 0, 0),
u'grade': u'A',
u'score': 2},
{u'date': datetime.datetime(2013, 7, 22, 0, 0),
u'grade': u'A',
u'score': 11},
{u'date': datetime.datetime(2012, 7, 31, 0, 0),
u'grade': u'A',
u'score': 12},
{u'date': datetime.datetime(2011, 12, 29, 0, 0),
u'grade': u'A',
u'score': 12}],
u'name': u'Dj Reynolds Pub And Restaurant',
u'restaurant_id': u'30191841'}