MongoDB
MongoDB is a document-oriented database management system that stores data as BSON documents, typically organized into collections.
MongoDB 8.0 in Action, Third Edition
MongoDB is a document-oriented database platform that stores data in BSON documents and provides a database query interface.
- How it is used
- Persists application records as documents and provides querying, aggregation, and scalable data access.
- How deep it goes
- Explains document structure, schema planning, Query API operations, and index diagnosis; defers detailed CRUD and aggregation treatment.
- Examples
- Uses a nested book document, shell queries, a student grades record, and an airline route schema scenario.
- What you can do after
- Apply it via mongosh to inspect and modify documents, then plan schemas and diagnose query performance with indexes and explain().
Read how MongoDB 8.0 in Action, Third Edition explains MongoDB →
Bootstrapping Microservices, Second Edition: With Docker, Kubernetes, GitHub Actions, and Terraform
MongoDB is a document-oriented NoSQL database management system.
- How it is used
- Stores dynamic video metadata for a streaming microservice, replacing a hardcoded video path.
- How deep it goes
- Works through container setup and a Node.js connection, but defers database design and data engineering.
- Examples
- Uses a Compose database service, a videos record containing a file path, and a real-database test setup.
- What you can do after
- Apply it via Docker Compose and the Node.js mongodb driver to store video metadata for a microservice.
Java Persistence with Spring Data and Hibernate epub
MongoDB is a document-oriented database management system that stores data in flexible, JSON-like documents.
- How it is used
- Stores application data as flexible documents and supports Java persistence through Spring Data MongoDB or Hibernate OGM.
- How deep it goes
- Defines databases, collections, documents, fields, dynamic schemas, queries, indexes, and Java mappings, but defers comprehensive CRUD detail.
- Examples
- Uses a user document, MongoDB Compass filters, Spring Boot mappings, and Hibernate OGM tests with User, Item, and Bid entities.
- What you can do after
- Operate/configure MongoDB through Compass, Spring Boot properties, Spring Data mappings, or JPA and JPQL persistence tests.
Read how Java Persistence with Spring Data and Hibernate epub explains MongoDB →
The Quick Python Book, Fourth Edition
MongoDB is a document-oriented NoSQL database system designed for distributed storage and querying of structured data.
- How it is used
- Uses Python to store, query, update, replace, and delete document data in a distributed NoSQL database.
- How deep it goes
- Demonstrates basic PyMongo CRUD and setup, but stops short of MongoDB’s broader capabilities and design details.
- Examples
- Demonstrates a Jane document, generated ObjectId, field update, full replacement, deletion, and collection dropping.
- What you can do after
- Operate/configure MongoDB through PyMongo, including connecting, creating documents, querying, modifying, deleting, and dropping collections.
Read how The Quick Python Book, Fourth Edition explains MongoDB →
Quarkus in Action
MongoDB is an open-source document-oriented NoSQL database system that stores data in flexible, JSON-like documents.
- How it is used
- Uses MongoDB as the Rental service’s document store and exposes persisted rental state through REST endpoints.
- How deep it goes
- Explains extension setup, configuration, entity mapping, queries, persistence, verification, and ObjectId integration, but not database internals.
- Examples
- Demonstrates a Rental entity, active-rental queries, REST start and end operations, HTTP responses, and mongosh verification.
- What you can do after
- Build it from scratch with Quarkus Panache, persist JSON-like documents, query them, and verify their stored MongoDB representation.
Spring in Action, Sixth Edition
Mongo is a document-oriented database system commonly known as MongoDB.
- How it is used
- Uses MongoDB to persist document-shaped application data through Spring Data repositories.
- How deep it goes
- Explains BSON documents, domain mapping, repositories, dependencies, and connection settings; defers reactive persistence.
- Examples
- Uses Docker, embedded Flapdoodle MongoDB, and YAML host, port, credential, and database settings.
- What you can do after
- Operate/configure MongoDB for Spring applications using a starter, local or embedded server, repositories, and connection properties.
Building Distributed Applications that Work
MongoDB is a document-oriented NoSQL database management system.
- How it is used
- Supports storing semistructured e-commerce data, such as product reviews, in documents associated with products.
- How deep it goes
- Defines the document model and trade-offs but stops short of implementation or operational guidance.
- Examples
- Uses product reviews stored alongside their product as the concrete example.
- What you can do after
- Evaluate whether document storage fits semistructured application data and its relationship needs.
Read how Building Distributed Applications that Work explains MongoDB →
Related concepts
- NoSQL databasekind of · A NoSQL database is a database system organized primarily around nonrelational data models or access patterns rather than relational tables.
- BSONuses · BSON is a binary-encoded serialization format for JSON-like documents and values, with support for additional data types such as dates and binary data.
- Spring Data MongoDBused by · Spring Data MongoDB is a Spring Data module that provides repository and data-access abstractions for MongoDB document databases.
- MongoDB documentuses · A MongoDB document is a BSON-encoded record of field-value pairs representing structured data.
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