What are the differences between clustered and non-clustered indexes?
An example of an AI chatbot conversation about clustered vs non-clustered indexes in databases.
What are the differences between clustered and non-clustered indexes?
Clustered indexes sort and store the data rows in the table based on the index key, while non-clustered indexes create a separate structure that points to the data rows.
Can you explain how they affect performance?
Clustered indexes can improve performance for range queries since the data is physically sorted. Non-clustered indexes are better for lookups and can speed up queries that don't require sorted data.
Which one should I use for my database?
It depends on your use case. If you frequently query ranges of data, a clustered index might be beneficial. For diverse queries, non-clustered indexes can be more effective.
Are there any downsides to using clustered indexes?
Yes, clustered indexes can slow down data modification operations like inserts and updates because the data needs to be physically rearranged.
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