1. Scalability is crucial - systems need to be designed with the assumption that query volume, document corpus size, indexing complexity etc. could increase by 10x. What works at one scale may completely break at a higher scale.


2. Sharding the index, either by document or by word, is important to distribute the indexing and querying load across machines.

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7 must-know strategies to scale your database

Indexing:

Check the query patterns of your application and create the right indexes.

Materialized Views:

Pre-compute complex query results and store them for faster access.

Denormalization:

Reduce complex joins to improve query performance.

Vertical Scaling

Boost your database server by adding more CPU, RAM, or... See more

Eventually their database became a ticking time bomb ready to explode at any moment. The first instinct might be to beef up their Postgres instance, like me trying to get big at the gym. But there are physical limits to how much you can scale a single machine before costs increase exponentially. Moreover, query performance and maintenance processes

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