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Difference between revisions of "Round"

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At the time of writing the <code>aggregation()</code> method has no rounding functions, though it is still doable with <code>$mod</code> and <code>$multiply</code>, as shown [http://www.kamsky.org/stupid-tricks-with-mongodb/rounding-numbers-in-aggregation-framework here] by the lead project manager at MongoDB<br/>.
 
At the time of writing the <code>aggregation()</code> method has no rounding functions, though it is still doable with <code>$mod</code> and <code>$multiply</code>, as shown [http://www.kamsky.org/stupid-tricks-with-mongodb/rounding-numbers-in-aggregation-framework here] by the lead project manager at MongoDB<br/>.
 
</div>
 
</div>
<div class="q nonum" data-lang="py3">MapReduce
+
==MapReduce==
 +
<div class="q nonum" data-lang="py3">
 
<pre class=def>
 
<pre class=def>
 
temp = db.world.map_reduce(
 
temp = db.world.map_reduce(
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</div>
 
</div>
  
<div class="q nonum" data-lang="py3">Aggregate
+
==Aggregate==
 +
<div class="q nonum" data-lang="py3">
 
<pre class=def>
 
<pre class=def>
 
pp.pprint(list(
 
pp.pprint(list(

Revision as of 13:31, 28 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

Rounding is easy inside a MapReduce as it is possible to use the Math object provided by JavaScript.
More information on Math can be found here.

At the time of writing the aggregation() method has no rounding functions, though it is still doable with $mod and $multiply, as shown here by the lead project manager at MongoDB
.

MapReduce

temp = db.world.map_reduce(
        query={"name":"United Kingdom"},
        map=Code("function(){emit(this.name, this.population)}"), 
        reduce=Code("function(key, values){return values}"),
        finalize=Code("function(key,values){return Math.round(values/1000000)}"),
        out={"inline":1},
)
pp.pprint(
   temp["results"]
)

Aggregate

pp.pprint(list(
    db.world.aggregate([
        {"$match": {"name":"United Kingdom"}},
        {"$project":{
            "_id":1, "name":1, "population":{"$divide":["$population",1000000]}
        }},
        {"$project":{
            "_id":0, "name":1, "population in millions":{"$divide":[
                {"$subtract":[
                    {"$multiply":['$population',100]},
                    {"$mod":[{"$multiply":['$population',100]}, 1]}
                    ]},100
            ]}
        }}
    ])
))