In MongoDB, the $set operator is used to replace the value of a field with a specified value. $set uses to update or create fields within a document. Behavior: i. If the field already exists, $set replaces its value with the specified value. ii. If the field does not exist, $set creates a new field with the specified value.
The purpose of a database is to efficiently and securely store, manage, and retrieve data. Databases serve as organized repositories for structured or unstructured information that can be accessed, manipulated, and analyzed by various applications or users. Here are some key purposes and functions of databases. i. Data Storage ii. Data Retrieval iii. Data Manipulation iv. Data Integrity v. Concurrency Control vi. Security vii. Scalability and Performance viii. Data Analysis and Reporting
Database design creates the blueprint for the entire database system, covering its architecture, organization, and implementation phases. Database schema design specifically focuses on defining the structure and organization of individual tables within the database, specifying attributes, data types, constraints, and relationships.
Mongoose is a powerful object data modeling tool for MongoDB, designed to work in an asynchronous environment. It provides an elegant way to interact with MongoDB databases using Node.js. How Mongoose Works: i. Schema Definition: We define a schema using Mongoose's Schema class. A schema defines the structure of your data, including fields, types, and validation rules. ii. Model Creation: We create a model by compiling the schema into a constructor function using mongoose.model(). The model represents a MongoDB collection. iii. Document Instances: We create document instances (records) using the model constructor. Each instance corresponds to a document in the collection. iv. CRUD Operations: We can perform CRUD operations (create, read, update, delete) on documents using the model methods. v. Middleware Hooks: We can attach middleware functions to the schema to handle events like pre-save or post-save. vi. Connection: Mongoose establishes a connection to the MongoDB server using the mongoose.connect() method.
Some possible reasons are: - Node, MongoDB and React have a similar data model, which makes it easier to transfer data between the front-end and the back-end. - Using Node MongoDB with React means that the entire stack is based on JavaScript. - MongoDB's popularity in the JavaScript and Node.js communities ensures strong community support and resources. - MongoDB's JSON-like data format aligns well with JavaScript and React, simplifying data handling.
MongoDB is a document-oriented NoSQL database. Unlike traditional relational databases, which use tables to store data, MongoDB stores data in collections of JSON-like documents, where each document can have a different structure. MongoDB is an open-source database that stores, manages, and retrieves large amounts of data. It is a document or NoSQL database because it does not store information in the form of tables. MongoDB is schema-less and non-relational, and it does not use SQL as a query language.
A collection in MongoDB is a group of documents that are similar in structure and purpose. It is equivalent to a table in a relational database. Collections allow us to organize and store related documents and offers flexibility in document structure, supports powerful querying, indexing, and scalability through sharding and replication.
MongoDB stores data as BSON documents, which are binary representations of JSON-like data. MongoDB organizes documents into collections, and supports features like indexing, atomic operations etc.
A primary key is a field that uniquely identifies each document in a MongoDB collection. By default, MongoDB uses the _id field as the primary key. The _id field contains a unique ObjectID value that is automatically generated when a document is inserted. However, we can also specify our own value for the _id field, as long as it is unique and follows the rules for ObjectID.
MongoDB is a NoSQL database storing data in JSON-like documents. NoSQL databases break from traditional relational models, ideal for managing vast data. MongoDB stands out for its scalability, flexibility, and performance trusted by giants like Google, Facebook, and eBay.