MongoDB is a free and open-source cross-platform document-oriented database program. Classified as a NoSQL database program, MongoDB uses JSON-like documents with schemas. It has an implementation of JSON and indexing.
MongoDB works well for applications that are not transactional, but need a flexible data model for dynamic queries and high availability. This can be accomplished using sharding or replica sets in MongoDB.
MongoDB is schema-free, meaning it does not require a predefined structure for your documents. It also means it is dynamic and easy to use. You can simply add new fields without having to change anything else in your application code or database design.
Sample Database For MongoDB
Mongodb is a noSQL document database. It is open source and free to use. If you are looking for a MongoDB sample database online, then you can find it here.
The sample database contains the following fields:
id, name, age, friends, bio
It is easy to create and run your own mongodb instance using the pre-built packages available for different Operating Systems.
The following steps will show you how to install MongoDB on Ubuntu server:
Step 1: Install MongoDB by running the following command in terminal:
sudo apt-get install mongodb-server -y
MongoDB is a free and open-source cross-platform document-oriented database. Classified as a NoSQL database, it stores data in a flexible, JSON-like format that is easy for developers to read and write.
The MongoDB sample database contains three collections: restaurants, products, and users. Each collection contains documents with different fields such as restaurant_id, name, address, phone number etc.
This is a sample database created using mongo-hacker. You can use it to play with MongoDB and learn about its features.
The database contains the following tables:
movies, actors, writers, directors, genres and budgets
You can create your own projects based on this sample database and then change it to fit your needs.
The MongoDB is a document database that provides high availability, scalability, and performance. It is the most popular database for real-time applications.
MongoDB comes with a set of utilities that can be used for managing the database. These utilities are available as command-line tools and through the MongoDB Management Service (MMS).
MongoDB provides three ways to access data:
Database commands: These commands are used to perform basic database administration tasks, such as creating databases, collections, and indexes; importing and exporting data; migrating collections between different versions of the database; creating read preferences; and changing server configuration options.
Query language shell: This interface lets you execute SQL-like queries against your database using JavaScript code. It also allows you to run ad hoc queries directly from your terminal window by typing them into the shell and pressing enter.
Mongo shell: The mongo shell is a JavaScript application that executes queries against your MongoDB instance.
MongoDB is a database that can be installed on your computer or hosted in the cloud. It’s open source, which means it’s free to use and modify. MongoDB is a NoSQL database, which means it doesn’t use SQL (Structured Query Language) to query its data. Instead, it uses JavaScript Object Notation (JSON).
MongoDB is popular for building web applications because it’s easy to set up and get started with. It’s also highly scalable — meaning you can add more computers to the database cluster as your application grows and becomes more demanding of its storage capacity.
MongoDB is open source software developed by the 10gen company. The name “Mongo” comes from humongous, a reference to its large data storage capabilities.
Sample mongodb file:
{
“title”: “Sample MongoDB Database”,
“description”: “This is an example of how to setup a sample database for your website.”,
“created_at”: “2019-03-05T13:42:23.928Z”,
“updated_at”: “2019-03-05T13:42:23.928Z”,
“urls”: { “homepage”: “http://www.example.com/”, “about”: “http://www.example.com/about/” },
“tags”: [],
“locations”: {},
“images”: {},
“video”: {},
1. Sample mongodb file:
(a) In the first line, we declare the file to be a document-oriented database. This is because we are going to store documents in it. This is a key step in creating a mongo collection. It’s important to note that if we don’t do this, MongoDB will store our data as objects and not as documents.
(b) In the second line, we declare an array of documents. Each document has three fields: name, type, and genre. Since this is a movie database, our movies should have these three fields as well.
(c) The third line creates a new instance of collection movie which will hold all the movies from our dataset. A collection is like a table in SQL databases or Documents folder in MongoDB shell with one exception: you can only access specific documents within that collection by their unique ID number (i.e., id field).
In this article, I will show you how to create a sample movie database using MongoDB.
The project has two steps:
Step 1: Create a table “movies” in the “databases” collection.
Step 2: Insert some sample data into the movies collection.
This is a sample dataset for the online movie database application.
It consists of 5 tables:
– Movies
– People
– Genres
– Companies
– Relationships
MongoDB is a document database, a non-relational database management system (DBMS) that uses JSON-like documents with dynamic schemas. It is developed and marketed by MongoDB Inc.
MongoDB stores data in flexible, JSON-like documents, meaning fields can vary from document to document and data structure can be changed over time.
This provides the ability to dynamically modify schemas as applications evolve, without downtime or performance degradation.
MongoDB also offers built-in replication and auto-sharding across multiple servers for high availability, horizontal scalability and fault tolerance.
MongoDB Test Database
MongoDB is a free and open-source cross-platform document-oriented database system. Classified as a NoSQL database program, MongoDB uses JSON-like documents with schemas. It stores data in flexible, JSON-like documents, meaning fields can vary from document to document and data structure need not be rigidly defined in the schema.
MongoDB’s query language is called “BSON”, which stands for Binary JSON.
It’s an array-oriented language that allows developers to write queries like:
find all people named John who live in San Francisco
find all people named John who live in San Francisco and earn more than 100K per year
find all people named John who live in San Francisco, earn more than 100K per year, are married, and have at least one child
The last query would return a list of objects that contained information about each person meeting those criteria.