Difference between revisions of "Sum and Count"
From NoSQLZoo
Line 32: | Line 32: | ||
{"$group":{ | {"$group":{ | ||
"_id":"$continent", | "_id":"$continent", | ||
− | "sum of | + | "sum of populations":{"$sum":"$population"}, |
"count of countries":{"$sum":1} | "count of countries":{"$sum":1} | ||
}} | }} |
Revision as of 15:06, 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":"$continent", "sum of populations":{"$sum":"$population"}, "count of countries":{"$sum":1} }} ])
))
.count()
print(db.world.count("continent":"Africa"))