What are the downsides of sharding in databases?
Sharding can lead to increased complexity in database management and potential data consistency issues.
Can you explain how it affects data consistency?
Sure! When data is split across shards, ensuring that all shards have the same data can be challenging, leading to inconsistencies.
Are there performance issues associated with sharding?
Yes, sharding can introduce performance overhead due to the need for coordination between shards, especially during queries.
What about the impact on application development?
It can complicate application logic, as developers need to handle routing and data retrieval from multiple shards.
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