How do data structures affect database scalability?
Data structures play a crucial role in how efficiently a database can scale. They determine how data is stored, accessed, and manipulated.
Can you give examples of data structures that are commonly used in databases?
Sure! Common data structures include B-trees for indexing, hash tables for quick lookups, and linked lists for managing records.
What are the trade-offs of using different data structures?
Each data structure has its strengths and weaknesses. For instance, B-trees are great for range queries but can be slower for point lookups compared to hash tables.
How can I choose the right data structure for my database?
Consider your specific use case, such as the types of queries you'll run and the volume of data. Performance testing can also help.
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