MongoDB CRUD Operations Best Practices

Implement Schema Validation

Create a collection with JSON schema validation that requires a 'username' and 'email' field, where 'email' must match a valid email pattern.

Expected output: A MongoDB collection that rejects documents missing 'username' or with invalid 'email'.

Hint: Use the $jsonSchema validator in the collection options.

Optimize a CRUD Query

Given a slow query on a 'products' collection filtering by 'category' and 'price', create an appropriate compound index to improve performance.

Expected output: A compound index that speeds up queries filtering by category and price.

Hint: Create an index on both 'category' and 'price' fields.

Handle Errors in CRUD Operations

Write a MongoDB update operation in your application code that catches errors and retries the operation once if a transient error occurs.

Expected output: Robust update code that retries on transient failures and logs errors.

Hint: Use try-catch blocks and check error codes for retry logic.

It means that any update, insert, or delete operation on a single document either completes fully or not at all, ensuring data consistency.

Schema validation helps maintain data integrity by preventing invalid or malformed data from being stored in the database.

Proper indexing speeds up read and update queries by allowing MongoDB to quickly locate documents, but too many indexes can slow down write operations.