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Have you worked with large tables? Partitioning, sharding, clustering?
sobes.tech AI
Answer from AI
Yes, I have experience working with large tables in databases.
- Partitioning was used to divide tables by date or other keys to speed up queries and simplify data management.
- Sharding was applied in distributed systems for horizontal scaling, dividing data across different servers.
- Clustering — I used clustered indexes to optimize search and sorting by keys.
For example, in a project with a large volume of logs, data was partitioned by months, which significantly sped up queries for specific periods.