How do I import json file using pymongo?
I try using this but it won't work.
from pymongo import MongoClient
import json
client = MongoClient('localhost', 27017)
client('mongoimport --db myDatabase --collection restaurants --file c:restaurantsrestaurants.json')
print ('json import sucessfully')
Greatly appreciate of any helps. Thanks
json file import pymongo
add a comment |
I try using this but it won't work.
from pymongo import MongoClient
import json
client = MongoClient('localhost', 27017)
client('mongoimport --db myDatabase --collection restaurants --file c:restaurantsrestaurants.json')
print ('json import sucessfully')
Greatly appreciate of any helps. Thanks
json file import pymongo
add a comment |
I try using this but it won't work.
from pymongo import MongoClient
import json
client = MongoClient('localhost', 27017)
client('mongoimport --db myDatabase --collection restaurants --file c:restaurantsrestaurants.json')
print ('json import sucessfully')
Greatly appreciate of any helps. Thanks
json file import pymongo
I try using this but it won't work.
from pymongo import MongoClient
import json
client = MongoClient('localhost', 27017)
client('mongoimport --db myDatabase --collection restaurants --file c:restaurantsrestaurants.json')
print ('json import sucessfully')
Greatly appreciate of any helps. Thanks
json file import pymongo
json file import pymongo
edited Nov 14 '18 at 5:05
Gunasekar
5201517
5201517
asked Nov 14 '18 at 4:15
NatNat
111
111
add a comment |
add a comment |
1 Answer
1
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oldest
votes
Similar to this answer, mongoimport
is a command-line program and not in the PyMongo API.
However you can use a different approach:
from pymongo import MongoClient
import json
client = MongoClient('localhost', 27017)
with open('restaurants.json') as f:
data = json.load(f)
client['myDatabase']['restaurants'].insert_many(data)
If your json file is too big, you can use the subprocess lib to run the command-line program inside a python program. Check some SO answers here or here
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
Similar to this answer, mongoimport
is a command-line program and not in the PyMongo API.
However you can use a different approach:
from pymongo import MongoClient
import json
client = MongoClient('localhost', 27017)
with open('restaurants.json') as f:
data = json.load(f)
client['myDatabase']['restaurants'].insert_many(data)
If your json file is too big, you can use the subprocess lib to run the command-line program inside a python program. Check some SO answers here or here
add a comment |
Similar to this answer, mongoimport
is a command-line program and not in the PyMongo API.
However you can use a different approach:
from pymongo import MongoClient
import json
client = MongoClient('localhost', 27017)
with open('restaurants.json') as f:
data = json.load(f)
client['myDatabase']['restaurants'].insert_many(data)
If your json file is too big, you can use the subprocess lib to run the command-line program inside a python program. Check some SO answers here or here
add a comment |
Similar to this answer, mongoimport
is a command-line program and not in the PyMongo API.
However you can use a different approach:
from pymongo import MongoClient
import json
client = MongoClient('localhost', 27017)
with open('restaurants.json') as f:
data = json.load(f)
client['myDatabase']['restaurants'].insert_many(data)
If your json file is too big, you can use the subprocess lib to run the command-line program inside a python program. Check some SO answers here or here
Similar to this answer, mongoimport
is a command-line program and not in the PyMongo API.
However you can use a different approach:
from pymongo import MongoClient
import json
client = MongoClient('localhost', 27017)
with open('restaurants.json') as f:
data = json.load(f)
client['myDatabase']['restaurants'].insert_many(data)
If your json file is too big, you can use the subprocess lib to run the command-line program inside a python program. Check some SO answers here or here
answered Nov 14 '18 at 22:02
NadavNadav
141215
141215
add a comment |
add a comment |
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