When should I use sharding in my database?
Sharding is useful when you have large datasets that exceed the capacity of a single database server. It helps distribute the load.
What are the benefits of sharding?
The main benefits include improved performance, scalability, and availability. It allows for horizontal scaling.
Are there any downsides to sharding?
Yes, sharding can introduce complexity in data management and querying. It may also lead to challenges in maintaining data consistency.
How do I decide the sharding key?
Choosing a sharding key depends on your access patterns. It should evenly distribute data and minimize cross-shard queries.
Can you give an example of a good sharding strategy?
A common strategy is to shard by user ID in a social media application, as it evenly distributes user data across shards.
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