Description: Learn how to optimize a Spring Data MongoDB application through indexes and read preferences. This third and final part of the series covers single field, compound, unique, and TTL/partial indexes, as well as ReadPreference strategies.

Ah, I know! Just like in the second article, you're here because you enjoyed the initial topic, right? To recap: In the first article, we covered how to get started with MongoDB and Spring Data , exploring the difference between MongoTemplate and MongoRepository and when to use one or the other. In the second part, we took it a step further by exploring advanced queries and learning powerful concepts that Spring offers. Finally (but not least), we'll look at how to optimize our application through strategies like read preferences and indexes.

Pre-requisites

Source code

MongoDB Atlas account

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