Cookies help us deliver our services. By using our services, you agree to our use of cookies. More information

Difference between revisions of "Sum and Count"

From NoSQLZoo
Jump to: navigation, search
m
 
(15 intermediate revisions by 3 users not shown)
Line 1: Line 1:
<pre class=setup>
 
#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
 
</pre>
 
 
{{TopTenTips}}
 
{{TopTenTips}}
<div style="height:25em">
+
<div style="min-height:25em">
 
There are many ways to do this in MongoDB.<br/><br/>
 
There are many ways to do this in MongoDB.<br/><br/>
 
<code>count()</code> is a cursor method that takes a query and returns a number equal to the amount of documents that matched the query.<br/>
 
<code>count()</code> is a cursor method that takes a query and returns a number equal to the amount of documents that matched the query.<br/>
 
<code>$sum</code> is an aggregation operator availible in the <code>$group</code> stage, that can be used to both sum values and count the number of documents.<br/>
 
<code>$sum</code> is an aggregation operator availible in the <code>$group</code> stage, that can be used to both sum values and count the number of documents.<br/>
mapReduce can produce a sum or a count during the results stage.
+
<code>mapReduce</code> can produce a sum or a count during the results stage by using JavaScript.
</div>
 
<div class=q data-lang="py3">.count()
 
<div class="def">print(db.world.count({"continent":"Africa"}))
 
 
</div>
 
</div>
 +
<div class="q nonum" data-lang="mongo"><code>.count()</code>
 +
<pre class="def"><nowiki>db.world.count({"continent": "Africa"});</nowiki></pre>
 
</div>
 
</div>
  
<div class=q data-lang="py3">$sum
+
<div class="q nonum" data-lang="mongo"><code>$sum</code>
<div class="def">
+
<pre class="def"><nowiki>
pp.pprint(list(
+
db.world.aggregate([
    db.world.aggregate([
+
  {"$group": {
        {"$group":{
+
      "_id": "$continent",
            "_id":"$continent",
+
      "sum of populations": {$sum: "$population"},
            "sum of population":{"$sum":"$population"},
+
      "count of countries": {$sum: 1}
            "count of countries":{"$sum":1}
+
  }}
        }}
+
]);</nowiki></pre>
    ])
 
))
 
</div>
 
 
</div>
 
</div>
  
<div class=q data-lang="py3">.count()
+
<div class="q nonum" data-lang="mongo"><code>Array.sum()</code>
<div class="def">
+
<pre class="def"><nowiki>
print(db.world.count("continent":"Africa"))
+
db.world.mapReduce(
</div>
+
  function () {
 +
    emit(this.continent, this.population);
 +
  },
 +
  function (k, v) {
 +
    return Array.sum(v);
 +
  },
 +
  {
 +
    out: {inline: 1}
 +
  }
 +
);
 +
</nowiki></pre>
 
</div>
 
</div>

Latest revision as of 17:41, 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}
  }
);