MongoDB Basics: Best Practices

Design a Schema for a Blogging Platform

Create a MongoDB schema design for a blogging platform considering when to embed or reference data such as posts, comments, and authors.

Expected output: A schema design document outlining collections, embedded documents, and references with justification.

Hint: Consider access patterns like reading posts with comments and updating comments independently.

Create Indexes for an E-commerce Database

Identify fields to index in an e-commerce MongoDB database and create appropriate indexes using MongoDB shell commands.

Expected output: MongoDB shell commands creating single and compound indexes.

Hint: Focus on fields used in search filters, sorting, and joins.

Embedding is preferred when related data is frequently accessed together and changes infrequently, improving read performance. Referencing is better for large, frequently changing, or shared data to avoid duplication and document size limits.

Indexes speed up query performance by allowing efficient data retrieval but add overhead to write operations and consume additional storage. Proper indexing balances read speed improvements with write performance and storage costs.

Enable authentication with role-based access control, encrypt data in transit using TLS/SSL, encrypt data at rest, restrict network access, and keep MongoDB updated to protect against vulnerabilities.