Python - NoSQL Databases

As more and more data become available as unstructured or semi-structured, the need of managing them through NoSql database increases. Python can also interact with NoSQL databases in a similar way as is interacts with Relational databases. In this chapter we will use python to interact with MongoDB as a NoSQL database. In case you are new to MongoDB, you can learn it in our tutorial here.

In order to connect to MongoDB, python uses a pbrary known as pymongo. You can add this pbrary to your python environment, using the below command from the Anaconda environment.

conda install pymongo

This pbrary enables python to connect to MOngoDB using a db cpent. Once connected we select the db name to be used for various operations.

Inserting Data

To insert data into MongoDB we use the insert() method which is available in the database environment. First we connect to the db using python code shown below and then we provide the document details in form of a series of key-value pairs.

# Import the python pbraries
from pymongo import MongoCpent
from pprint import pprint

# Choose the appropriate cpent
cpent = MongoCpent()

# Connect to the test db 
db=cpent.test

# Use the employee collection
employee = db.employee
employee_details = {
     Name :  Raj Kumar ,
     Address :  Sears Streer, NZ ,
     Age :  42 
}

# Use the insert method
result = employee.insert_one(employee_details)

# Query for the inserted document.
Queryresult = employee.find_one({ Age :  42 })
pprint(Queryresult)

When we execute the above code, it produces the following result.

{u Address : u Sears Streer, NZ ,
 u Age : u 42 ,
 u Name : u Raj Kumar ,
 u _id : ObjectId( 5adc5a9f84e7cd3940399f93 )}

Updating Data

Updating an existing MongoDB data is similar to inserting. We use the update() method which is native to mongoDB. In the below code we are replacing the existing record with new key-value pairs. Please note how we are using the condition criteria to decide which record to update.

# Import the python pbraries
from pymongo import MongoCpent
from pprint import pprint

# Choose the appropriate cpent
cpent = MongoCpent()

# Connect to db
db=cpent.test
employee = db.employee

# Use the condition to choose the record
# and use the update method
db.employee.update_one(
        {"Age": 42 },
        {
        "$set": {
            "Name":"Srinidhi",
            "Age": 35 ,
            "Address":"New Omsk, WC"
        }
        }
    )

Queryresult = employee.find_one({ Age : 35 })

pprint(Queryresult)

When we execute the above code, it produces the following result.

{u Address : u New Omsk, WC ,
 u Age : u 35 ,
 u Name : u Srinidhi ,
 u _id : ObjectId( 5adc5a9f84e7cd3940399f93 )}

Deleting Data

Deleting a record is also straight forward where we use the delete method. Here also we mention the condition which is used to choose the record to be deleted.

# Import the python pbraries
from pymongo import MongoCpent
from pprint import pprint

# Choose the appropriate cpent
cpent = MongoCpent()

# Connect to db
db=cpent.test
employee = db.employee

# Use the condition to choose the record
# and use the delete method
db.employee.delete_one({"Age": 35 })

Queryresult = employee.find_one({ Age : 35 })

pprint(Queryresult)

When we execute the above code, it produces the following result.

None

So we see the particular record does not exist in the db any more.