What are clustered and non-clustered indexes?
Understanding Indexes in Databases
Indexes are crucial for optimizing the performance of database queries. They can be categorized into two main types: clustered indexes and non-clustered indexes. This document aims to clarify the differences between these two types of indexes.
What is a Clustered Index?
A clustered index determines the physical order of data in a table. It is unique in that a table can have only one clustered index. The clustered index is created on the primary key by default, but it can be created on any column.
Characteristics of Clustered Indexes
- Physical Order: The data rows are stored in the same order as the index.
- Single Index: A table can have only one clustered index.
- Performance: Clustered indexes can improve the performance of range queries.
What is a Non-Clustered Index?
A non-clustered index, on the other hand, does not alter the physical order of the data. Instead, it creates a separate structure that points to the actual data rows. A table can have multiple non-clustered indexes.
Characteristics of Non-Clustered Indexes
- Logical Order: The data is stored in a different order than the index.
- Multiple Indexes: A table can have multiple non-clustered indexes.
- Flexibility: Non-clustered indexes can be created on any column, providing more flexibility for query optimization.
Key Differences Between Clustered and Non-Clustered Indexes
| Feature | Clustered Index | Non-Clustered Index |
|---|---|---|
| Physical Order | Yes | No |
| Number of Indexes | One per table | Multiple per table |
| Storage | Data rows are stored in the index | Separate structure pointing to data |
| Performance Impact | Faster for range queries | Faster for lookups on non-key columns |
Conclusion
In summary, understanding the differences between clustered and non-clustered indexes is essential for database optimization. Choosing the right type of index can significantly impact the performance of your database queries.
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