MongoDB Database

MongoDB server

In a MongoDB local setup, the MongoDB server is the main process that runs the MongoDB database. The MongoDB server is responsible for handling incoming clients requests, managing connections, and executing database operations. The MongoDB server process is typically started using the mongod command. The starts the MongoDB daemon process that listens on a specified port for incoming connections. The server process runs continuously in the background and manages the MongoDB database until it is shut down. To start MongoDB server,

sudo mongod

Creating data/db Directory in the Local Setup

In MongoDB data is stored in a database that consists of one or more collections of documents. To store data persistently, MongoDB needs a directory on disk to store data files. By default, MongoDB stores data files in the/data/db directory on the systems root partition. However, this may not be the best location to store data files because it may not have enough space or may not be accessible to all users who need to access MongoDB.

Therefore, it is a common practice to create a dedicated directory to store MongoDB data files. This directory is typically created in the user’s home directory to ensure that the user has permission to read and write to the directory. In addition, it is recommended to create a separate sub-directory for each MongoDB instance to avoid conflicts with other instances or applications that may be using the same directory.

Create a db/data directory in Ubuntu to work with MongoDB allows you to store your MongoDB data files in a dedicated location that is easily accessible and manageable. By creating this directory and specifying it as the -db path option when starting the MongoDB server, you can ensure that your data files are stored in a safe predictable location. This can also help you to better manage disk usage and avoid running out of disk space on your system’s root partition.

MongoDB Client

The MongoDB client is a program or tool that allows you to interact with the MongoDB server and database. The client can be used to perform various operation, such as creating or modifying databases and collections, querying data, and executing administrative tasks.

There are several ways to connect to a MongoDB server using a client. One common way is to use the Mongo Shell, which is a command-line interface that allows you to interact with the server using a JavaScript-based interface. The mongo shell can be started by running the mongo command, which connects to the server running on the default port of 27017. MongoDB provides drivers for many programming languages, including Python, Java and Node.js that allow you to interact with the database using the native syntax of the language.

MongoDB Server is the main process that manages the database in a local setup. The mongod command is used to start the server. MongoDB Client is a program or tool that allows you to interact with the server and perform various operations. The Mongo Shell/Mongosh or a driver is used to connect to the server and interact with the database. The mongosh command is used to start the server.

What is MongoDB?

MongoDB is a document-oriented NoSQL database that stores data in flexible, JSON-like documents. It was first released in 2009 and has become a popular choice for many web applications due to its scalability, performance, and ease of use.

MongoDB is known for its ability to handle large volumes of unstructured or semi-structured data, making it a good fit for applications that require a flexible data model. MongoDB uses a dynamic schema, which means that documents in a collection do not need to have the same set of fields or structure. MongoDB supports a wide range of data types, including strings, numbers, boolean, arrays, and nested documents.

It also supports various query types, including range queries, boolean queries, and geospatial queries. MongoDB has a powerful aggregation framework that can perform complex operations on data, such as grouping, sorting, and joining data from multiple collections MongoDB is designed to be easily scalable and can handle large amounts of data by sharing data across multiple servers.

MongoDB provides drivers for many programming languages and has a large and active community of developers who contribute to its development and maintenance. MongoDB is available as both a free and open-source community edition and a paid enterprise edition that includes additional features and support.

Why we use MongoDB?

Flexible Data Model:- MongoDB’s dynamic schema allows for flexible data modeling, making it easier to handle unstructured or semi-structured data compared to traditional relational databases.

Scalability:- MongoDB is designed to be easily scalable, both vertically and horizontally. It can handle large volumes of data by sharing data across multiple servers.

High Performance:- MongoDB’s document -oriented data model allows for fast query performance, as documents can be retrieved in a single query, rather than requiring complex joins across multiple tables as in relational databases.

Rich Query Language:- MongoDB’s query language supports a wide range of queries, including range queries, boolean queries, and geospatial queries. It also includes a powerful aggregation framework that can perform complex operations on data.

Support for Replication and Availability:- MongoDB includes built-in support for replication and automatic fail over, which ensures that the database remains available even if one or more nodes fail.

Many companies that use MongoDB as their database, ranging from startup to large enterprises. Here are a few notable examples: Adobe, Bosch, eBay, Expedia, Forbes, GitHub, Google, Intuit, Lyft, MetLife, Microsoft, Pearson, Porsche, SAP, Verizon. This is just a small selection of companies that use MongoDB. MongoDB is used by many more companies across a wide range of industries, including finance, healthcare, e-commerce, and more.

In conclusion, MongoDB is a popular NoSQL document-oriented database that offers flexible data modeling, scalability, and high availability. It stores data in collections of JSON-like documents, and supports features like indexing, aggregation, and transactions. MongoDB is commonly used in web application, mobile apps, and big data processing, and it has a large community of users and contributors. However, like any database system, MongoDB has its own set of strengths and weaknesses, and it may not be the best choice for all use cases. As with any technology, it is important to carefully evaluate the suitability of MongoDB for your specific application requirements before adopting it.