Can you explain how partitioning affects query performance in databases?
Sure! Partitioning can significantly improve query performance by dividing large tables into smaller, more manageable pieces.
What are the different types of partitioning?
There are several types, including range, list, hash, and composite partitioning, each serving different use cases.
How does partitioning help with large datasets?
It helps by reducing the amount of data scanned during queries, which speeds up data retrieval and improves efficiency.
Are there any downsides to partitioning?
Yes, partitioning can add complexity to database management and may require careful planning to avoid performance issues.
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