Difference between revisions of "Round"
From NoSQLZoo
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<div class=q data-lang="py3">MapReduce | <div class=q data-lang="py3">MapReduce | ||
<pre class=def> | <pre class=def> | ||
| − | |||
temp = db.world.map_reduce( | temp = db.world.map_reduce( | ||
| − | query={" | + | query={"name":"United Kingdom"}, |
| − | |||
map=Code("function(){emit(this.name, this.population)}"), | map=Code("function(){emit(this.name, this.population)}"), | ||
| − | reduce=Code("function(key, values){return Math.round(values/1000000)}"), | + | reduce=Code("function(key, values){return values}"), |
| + | finalize=Code("function(key,values){return Math.round(values/1000000)}"), | ||
out={"inline":1}, | out={"inline":1}, | ||
) | ) | ||
| Line 39: | Line 38: | ||
<div class=q data-lang="py3">Aggregate | <div class=q data-lang="py3">Aggregate | ||
<pre class=def> | <pre class=def> | ||
| − | |||
pp.pprint(list( | pp.pprint(list( | ||
db.world.aggregate([ | 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 | ||
| + | ]} | ||
| + | }} | ||
]) | ]) | ||
)) | )) | ||
| − | |||
</pre> | </pre> | ||
</div> | </div> | ||
Revision as of 16:07, 26 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
]}
}}
])
))