Difference between revisions of "Sum and Count"
From NoSQLZoo
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{{TopTenTips}} | {{TopTenTips}} | ||
<div style="min-height:25em"> | <div style="min-height:25em"> | ||
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mapReduce can produce a sum or a count during the results stage by using JavaScript. | mapReduce can produce a sum or a count during the results stage by using JavaScript. | ||
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− | <div class="q nonum" data-lang=" | + | <div class="q nonum" data-lang="mongo">.count() |
− | <div class="def"> | + | <div class="def">db.world.count({"continent":"Africa"}) |
</div> | </div> | ||
</div> | </div> | ||
− | <div class="q nonum" data-lang=" | + | <div class="q nonum" data-lang="mongo">$sum |
− | <div class="def"> | + | <div class="def"> |
− | + | db.world.aggregate([ | |
− | + | {"$group":{ | |
− | + | "_id":"$continent", | |
− | + | "sum of populations":{$sum:"$population"}, | |
− | + | "count of countries":{$sum:1} | |
− | + | }} | |
− | + | ]) | |
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</div> | </div> | ||
</div> | </div> | ||
− | <div class="q nonum" data-lang=" | + | <div class="q nonum" data-lang="mongo">Array.sum() |
− | <div class="def"> | + | <div class="def"> |
− | + | db.world.mapReduce( | |
− | + | function(){emit(this.continent, this.population)}, | |
− | + | function(k,v){ return Array.sum(v) }, | |
− | + | {out:{inline:1}} | |
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− | out | ||
) | ) | ||
Revision as of 15:33, 3 December 2015
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 by using JavaScript.
.count()
db.world.count({"continent":"Africa"})
$sum
db.world.aggregate([
{"$group":{ "_id":"$continent", "sum of populations":{$sum:"$population"}, "count of countries":{$sum:1} }}
])
Array.sum()
db.world.mapReduce(
function(){emit(this.continent, this.population)}, function(k,v){ return Array.sum(v) }, {out:{inline:1}}
)
pp.pprint(temp['results'])