Traditional Databases are not much flexible to support modern applications completely and satisfy all the business requirements. Companies use various Databases to store their business data. Traditional Relational Databases use predefined schemas that restrict the flexibility of the applications, websites, other data jobs. NoSQL Database are non-tabular Databases and store data in the document-oriented form.
MongoDB is one of the widely used NoSQL Database for personal and company use. It offers its users a wide variety of features along with a high-performance and robust engine to satisfy all the needs of modern applications. Python is one of the hottest programming languages used to develop highly scalable, flexible, and modern applications. Connecting Python with MongoDB can be done through the MongoClient from the PyMongo library. Python PyMongo MongoClient allows Developers to establish a connection between their Python application and MongoDB to manage data in a NoSQL Database.
Python PyMongo MongoClient makes it easier for Developers to access all the features of the NoSQL Database and build a scalable and flexible Python application. In this article, you will have a brief introduction to MongoDB, Python, and PyMongo library. Also, learn about the steps to connect Python PyMongo MongoClient, manipulating and accessing data.
Prerequisites
- Python installed on your local machine.
- MongoDB installed on your local machine.
- A brief knowledge of Python language.
Introduction to MongoDB
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MongoDB is an open-source NoSQL Database program that is a cross-platform document-oriented Database. It uses JSON-type format documents with optional schemas. NoSQL is an alternative to traditional Relational Databases that allow users to easily manipulate, access, and manage large datasets of distributed data.
Relational Databases store data in tabular form with a predefined data model which is not much flexible as per modern applications. MongoDB offers NoSQL Database services to simplify data management and companies use it for ad-hoc queries, indexing, load balancing, aggregation, server-side JavaScript execution, and other features.
MongoDB comes in community and commercial versions, where the community version is an open-source and Enterprise server offers some additional security features, an in-memory storage engine, administration and authentication features, and monitoring capabilities through Ops Manager.
Key Features of MongoDB
Some of the main features of MongoDB are listed below.
- Scalability: MongoDB supports horizontal scalability using the Sharding technique. Its job is to distribute data on multiple servers where a large amount of data is divided into smaller data chunks using the shard key.
- Indexing: Every field in documents in MongoDB is indexed with primary and secondary indices making the data searching job lot easier and faster.
- High Performance: MongoDB delivers high performance in querying data as compared to other Databases because of its scalability, indexing, and replication features.
To learn more about MongoDB, click here.
Introduction to Python
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Python is an open-source, high-level, general-purpose programming language with dynamic semantics. Guido Von Rossum developed it in 1991 to simplify the code readability using the indentation. It is dynamically typed and garbage-collected. Python supports modules and packages which encourage program modularity and code reusability.
Python lets you work quickly and integrate systems more efficiently. It has a huge robust global community with many tech giants like Google, Facebook, Netflix having dependencies on it. Also, it supports the integration of all the major Databases such as MongoDB using Python PyMongo MongoClient.
Key Features of Python
Some of the main features of Python are listed below.
- Scalable: Python comes with many libraries and packages that enable it to handle a huge amount of data with ease. It can solve problems using data that other programming languages are inefficient to address.
- Friendly: Python is easier to read and write which makes the learning curve simpler. It is a beginner-friendly language that suits entry-level coders.
- GUI Programming Support: Python allows Developers to build GUI using the PyQt5, PyQt4, wxPython, or Tk libraries.
- Large Standard Library: Python has a wide range of libraries that includes fields such as Machine Learning, Scripting, Web Development, Testing, etc.
- Portable: Python can run on different operating systems without changing the code and delivers the same output which makes it a highly portable programming language.
To learn more about Python, click here.
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Working of Python PyMongo MongoClient
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The Python PyMongo MongoClient class allows Developers to make connections to MongoDB in development with the help of client instances. The use of the PyMongo driver with MongoClient class makes it easier to code and connect to MongoDB easily and quickly.
MongoClient is a part of the PyMongo library and it can be imported to the Python code using the “from pymongo import MongoClient“. With the help of Python Pymongo, MongoClient made API calls became easier and faster that can allow you to access your data from MongoDB Database.
Steps to Connect to Python PyMongo MongoClient
Now that you have understood about MongoDB and Python. In this section, you will learn about setting up a connection to Python PyMongo MongoClient and some other configurations. The Python language will be used as a wrapper for MongoDB using the PyMongo library that makes it easier to access MongoDB using Python code. The following steps for connecting to Python PyMongo MongoClient are listed below.
Step 1: Installing the Libraries
- Open up the code editor of your choice that supports Python on your local machine.
- From the command-line tool, install the PyMongo library by typing the command given below.
python -m pip install pymongo
- In case, if you are getting the error “ModuleNotFoundError: No module named ‘pymongo’” then uninstall the PyMongo and open the command prompt to install the pymongo library with the following command given below.
pip uninstall pymongo
- Similarly, install the library dnspython for the mongodb srv URI using the following command given below.
python -m pip install dnspython
Step 2: Making Connection with Python PyMongo MongoClient
- In the code editor first import the libraries from the code given below.
import pymongo
- Open up the terminal and start the MongoDB instance to the default host and port by the following command given below.
mongod
- Make sure the MongoDB instance is running properly. Now let’s create a MongoClient using the pymnogo library to the running instance. The code is given below.
myclient = pymongo.MongoClient("mongodb://localhost:27017/")
myclient = pymongo.MongoClient('localhost', 27017)
Step 3: Getting a Database
- Now that you have created a connection with MongoDB. A single instance of MongoDB can support multiple independent Databases. You can list the existing Databases using the code given below.
myclient.list_database_names()
- You can access a particular Database using the following code given below.
local_db = myclient.database_test
- If your Database name has “-” then you can use dictionary-style access using the following code given below.
local_db = myclient['database_test']
Step 4: Creating a Collection in Python
- A Collection is a group of documents stored in MongoDB and can be equivalent to a table in the Relational Database.
- To access the MongoDB Collection is given below.
local_collection = myclient.test_collection
Step 5: Inserting Document in Python
- You can insert many documents in one go by using the insert_many() method from the PyMongo library. The sample code to insert 2 documents is given below.
item_1 = {
"_id" : "U1IT00001",
"item_name" : "Blender",
"max_discount" : "10%",
"batch_number" : "RR450020FRG",
"price" : 340,
"category" : "kitchen appliance"
}
item_2 = {
"_id" : "U1IT00002",
"item_name" : "Egg",
"category" : "food",
"quantity" : 12,
"price" : 36,
"item_description" : "brown country eggs"
}
collection_name.insert_many([item_1,item_2])
- You can also insert one document using the insert_one() method. The sample code is given below.
item_3 = {
"item_name" : "Bread",
"quantity" : 2,
"ingredients" : "all-purpose flour",
"expiry_date" : expiry
}
collection_name.insert_one(item_3)
Benefits of Python PyMongo MongoClient
A few benefits of using Python PyMongo MongoClient to access MongoDB are listed below:
- Python PyMongo MongoClient allows Developers to build scalable and flexible applications using MongoDB NoSQL Database to maintain flexible schema.
- Python PyMongo MongoClient is suited for JSON object data that is used in modern applications and supported by MongoDB. It enables developers to save the data as a single document while treating them as a whole.
- Python PyMongo MongoClient makes it easier for businesses to deploy and manage enterprise applications without creating any expensive environment.
Conclusion
In this article, you learnt about connecting to Python PyMongo MongoClient and its different operations to handle data in MongoDB using Python PyMongo MongoClient. You also read about the working of Python PyMongo MongoClient and its simplicity when building a Python MongoDB application. Python PyMongo MongoClient acts as a wrapper to establish a connection between Python MongoDB.
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Share your experience of learning about the Python Pymongo MongoClient in the comments section below!
Aditya Jadon is a data science enthusiast with a passion for decoding the complexities of data. He leverages his B. Tech degree, expertise in software architecture, and strong technical writing skills to craft informative and engaging content. Aditya has authored over 100 articles on data science, demonstrating his deep understanding of the field and his commitment to sharing knowledge with others.
