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Difference between revisions of "Sum and Count"

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</div>
 
</div>
 
<div class="q nonum" data-lang="mongo"><code>.count()</code>
 
<div class="q nonum" data-lang="mongo"><code>.count()</code>
<div class="def">db.world.count({"continent":"Africa"})</div>
+
<pre class="def">db.world.count({"continent":"Africa"})</pre>
 
</div>
 
</div>
  
 
<div class="q nonum" data-lang="mongo"><code>$sum</code>
 
<div class="q nonum" data-lang="mongo"><code>$sum</code>
<div class="def">
+
<pre class="def">
 
db.world.aggregate([
 
db.world.aggregate([
 
   {"$group":{
 
   {"$group":{
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   }}
 
   }}
 
])
 
])
</div>
+
</pre >
 
</div>
 
</div>
  
 
<div class="q nonum" data-lang="mongo"><code>Array.sum()</code>
 
<div class="q nonum" data-lang="mongo"><code>Array.sum()</code>
<div class="def">
+
<pre class="def">
 
db.world.mapReduce(
 
db.world.mapReduce(
 
   function(){
 
   function(){
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   }
 
   }
 
)
 
)
</div>
+
</pre>
 
</div>
 
</div>

Revision as of 02:35, 6 April 2018

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}
  }
)