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">temp = db.world.map_reduce( | ||
map=Code("function(){emit(this.name, this.population)}"), | |||
reduce=Code("""function(k,v){ | |||
return Array.sum(v) | |||
} | |||
"""), | |||
out={"inline":1} | |||
) | |||
pp.pprint(temp['results']) | |||
</div> | </div> | ||
</div> | </div> |
Revision as of 15:31, 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()
temp = db.world.map_reduce(
map=Code("function(){emit(this.name, this.population)}"), reduce=Code("""function(k,v){ return Array.sum(v) } """), out={"inline":1}
)
pp.pprint(temp['results'])