Why index fields in a MongoDB schema?
Because indexes make queries fast. Without indexes on fields you query often, like email for login or user id for connections, queries scan the whole collection and get slow as data grows. Index the fields you filter and sort by.
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More FAQs in How to Design MongoDB Schemas for a DevTinder-like React Project
Start with the queries you will run, define User, Connection, and Message schemas with references between them, embed small tightly coupled data and reference shared data, and add indexes on fields you query often like email and user id.
Fields like name, email (unique and indexed), hashed password, bio, skills, and a list of connections. The email must be unique and indexed so login queries are fast and emails are not duplicated.
Embed small, tightly coupled data, like an address on a user. Reference large or shared data, like messages in a chat, to avoid duplication and keep documents small. Embedding is for things always read with the parent; referencing is for shared or growing data.
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