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AGGREGATE examples: Difference between revisions

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<div class=q data-lang="py3">
<div class=q data-lang="py3">
<code>$match</code> Allows us to perform queries in a similar way to find()
<code>$match</code> Allows us to perform queries in a similar way to find()
<p class=strong>Show all the details for</p>
<p class=strong>Show all the details for France</p>
<pre class=def>
<pre class=def>
pp.pprint(list(
pp.pprint(list(

Revision as of 12:58, 16 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)

Introducing the aggregation framework

These examples introduce the aggregation framework and its operators. Again we will be using the collection world

$match Allows us to perform queries in a similar way to find()

Show all the details for France

pp.pprint(list(
    db.world.aggregate([
        {"$match":{"name":"France"}}
    ])
))

pp.pprint(list(db.world.aggregate([{"$match":{"name":"France"}}]) ))

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