Difference between revisions of "FIND Examples"

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

Show all the documents in world

db.world.find()

It is also possible to just return the first document with find_one(). The Mongo shell equivalent to this is findOne()

for document in db.<collection>.find():
    print(document)

Show the first document of world

pp.pprint(db.world.find_one())

It is also possible to specify which document to find by its position.

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

Get the 50th document of world

pp.pprint(
    db.world.find()[49]
)

find() can filter results if a document is used as an argument.

Get all the data concerning france

pp.pprint(
    db.world.find_one({"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

pp.pprint(
    db.world.find_one({"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.

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

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

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

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

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

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

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

Lists can be used with $in and $nin:

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

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

Pattern matching is possible with Regular Expressions (RegEx)
The Mongo shell syntax is simpler than pymongo:
db.<collection>.find({<field>:/.*/})

Show each country that begins with G

pp.pprint(list(
    db.world.find({"name":{'$regex':"^G"}},{"name":1,"_id":0})
))