Difference between revisions of "FIND Examples"

Revision as of 21:35, 14 July 2015

Introducing the `world` collection of countries

These examples introduce NoSQL using MonogDB and PyMongo. We will be using the find() command on the collection world:

The following is included in the examples but hidden

#!/usr/bin/python3.4
from pymongo import MongoClient
client = MongoClient()
client.progzoo.authenticate('scott','tiger')
db = client['progzoo']

By default, find() returns the entire contents of a collection. This is equivalent to find({})

Show all the documents in world

print list(
    db.world.find()
)

print list(db.world.find())

It is also possible to just return the first document with find_one(). The Mongo shell equivalent to this is findOne()
To make things easier to understand the first document of world has been made a list of keys used in these examples.

list() is a python function and should be used with find(), as find() returns a cursor object

Show the first document of world

print db.world.find_one()

print db.world.find_one()

It is also possible to skip documents and limit the amount you return.

Get the 50th document of world

print list(
    db.world.find().skip(49).limit(1)
)

print list(db.world.find().skip(49).limit(1))

Querying

By passing arguments to find() we can search for specific documents

Get all the data concerning france

print list(
    db.world.find({"name":"France"})
)

print list(db.world.find({"name":"France"}))

By passing a second parameter to find() the output can be limited to certain field(s)
In this example 1 indicates "true" and 0 indicates "false"

A feature of MongoDB is the ObjectID or "_id".
This is a unique ID MongoDB adds to each document. Unlike other keys, it has to be explicitly set to false to be excluded from the results set.

Get the population of Germany

print list(
    db.world.find({"name":"Germany"},{"population":1,"_id":0})
)

print list(db.world.find({"name":"Germany"},{"population":1,"_id":0}))

MongoDB also allows comparisons. Syntax:

Mongo | MySQL
--------------
$eq   | == 
$gt   | >
$gte  | >=
$lt   | <
$lte  | <=
$ne   | !=, <>
$in   | IN
$nin  | NOT IN

List the countries with a population that's less than 1 million.

print list(
    db.world.find({"population":{"$lt":1000000}},{"name":1,"_id":0})
)

print list(db.world.find({"population":{"$lt":1000000}},{"name":1,"_id":0}))

It's also possible to have multiple conditions for an $and, $or, etc. This can be done in several ways, for example:

db.<collection>.find({<first condition>,<second condition>}
db.world.find({"population":{"$lt":1000000},"area":{"$gt":200000})

db.<collection>.find({"$and":[<first condition>,<second condition>]}
db.world.find({"$and":[{"population":{"$lt":1000000}},{"area":{"$gt":200000}}]}

Find the country with less than 1 million people, but over 200000km² area

print list(
    db.world.find({"population":{"$lt":1000000},"area":{"$gt":200000}},{"name":1,"_id":0})
)

print list(db.world.find({"population":{"$lt":1000000},"area":{"$gt":200000}},{"name":1,"_id":0}))

We can also use lists with $in and $nin:

Find the continent of Brazil, the United Kingdom, and Ghana.

print list(
    db.world.find({"name":{"$in":["Brazil","United Kingdom","Ghana"]}},{"name":1,"_id":0})
)

print list(

   db.world.find({"name":{"$in":["Brazil","United Kingdom","Ghana"]}},{"name":1,"_id":0})

)

@@ Line 1: / Line 1: @@
 ==Introducing the <code>world</code> collection of countries==
    <p>These examples introduce NoSQL using MonogDB and PyMongo. We will be using the find() command on the collection '''world''':</p>
    <div class="hint" title="Techincal details">
    <p>The following is included in the examples but hidden</p>
-<pre class=setup>from pymongo import MongoClient
+<pre class=setup>#!/usr/bin/python3.4
+from pymongo import MongoClient
 client = MongoClient()
 client.progzoo.authenticate('scott','tiger')

Revision as of 21:35, 14 July 2015

Introducing the world collection of countries

Querying

Introducing the `world` collection of countries