Sum and Count: Difference between revisions
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<div class=q data-lang="py3">.count() | <div class=q data-lang="py3">.count() | ||
<div class="def"> | <div class="def">print(db.world.count({"continent":"Africa"})) | ||
print(db.world.count("continent":"Africa")) | |||
</div> | </div> | ||
</div> | </div> | ||
Revision as of 15:05, 27 July 2015
#ENCODING
import io
import sys
sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-16')
#MONGO
from pymongo import MongoClient
client = MongoClient()
client.progzoo.authenticate('scott','tiger')
db = client['progzoo']
#PRETTY
import pprint
pp = pprint.PrettyPrinter(indent=4)
#CODE
from bson.code import Code
There are many ways to do this in MongoDB.
count() is a cursor method that takes a query and returns a number equal to the amount of documents that matched the query.
$sum is an aggregation operator availible in the $group stage, that can be used to both sum values and count the number of documents.
mapReduce can produce a sum or a count during the results stage.
.count()
print(db.world.count({"continent":"Africa"}))
$sum
pp.pprint(list(
db.world.aggregate([
{"$group":{
"_id":"$continent",
"sum of population":{"$sum":"$population"},
"count of countries":{"$sum":1}
}}
])
))
.count()
print(db.world.count("continent":"Africa"))