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Difference between revisions of "Sum and Count"

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Line 7: Line 7:
 
</div>
 
</div>
 
<div class="q nonum" data-lang="mongo"><code>.count()</code>
 
<div class="q nonum" data-lang="mongo"><code>.count()</code>
<pre class="def">db.world.count({"continent":"Africa"})</pre>
+
<pre class="def"><nowiki>db.world.count({"continent": "Africa"})</nowiki></pre>
 
</div>
 
</div>
  
 
<div class="q nonum" data-lang="mongo"><code>$sum</code>
 
<div class="q nonum" data-lang="mongo"><code>$sum</code>
<pre class="def">
+
<pre class="def"><nowiki>
 
db.world.aggregate([
 
db.world.aggregate([
   {"$group":{
+
   {"$group": {
 
       "_id": "$continent",
 
       "_id": "$continent",
 
       "sum of populations": {$sum: "$population"},
 
       "sum of populations": {$sum: "$population"},
 
       "count of countries": {$sum: 1}
 
       "count of countries": {$sum: 1}
 
   }}
 
   }}
])
+
]);</nowiki></pre>
</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>
<pre class="def">
+
<pre class="def"><nowiki>
 
db.world.mapReduce(
 
db.world.mapReduce(
   function(){
+
   function () {
 
     emit(this.continent, this.population);
 
     emit(this.continent, this.population);
 
   },
 
   },
   function(k,v){  
+
   function (k, v) {  
 
     return Array.sum(v);
 
     return Array.sum(v);
 
   },
 
   },
 
   {
 
   {
     out:{inline:1}
+
     out: {inline: 1}
 
   }
 
   }
 
)
 
)
</pre>
+
</nowiki></pre>
 
</div>
 
</div>

Revision as of 17:40, 18 July 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}
  }
)