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Understanding Composite Indexes: Functionality and Structure
When dealing with databases, optimizing query performance is crucial, and composite indexes play a significant role in this regard. A composite index combines multiple columns into a single index, facilitating faster lookups and data retrieval.
How Do Composite Indexes Work?
Your assumption about the grouping of columns within a composite index is mostly correct. When you specify columns in a certain order while creating a composite index, you are indeed establishing the order for grouping. For instance, an index defined as (a ASC, b ASC, c ASC) will result in an index structure where records are primarily sorted based on column a, then by b, and finally by c.
This grouping mechanism has several implications:
Visualization of a Composite Index
To visualize the structure of a composite index on columns (a, b, c), imagine the following table:
A | B | C | Index Key |
---|---|---|---|
1 | 2 | 3 | 10001002003 |
1 | 4 | 2 | 10001004002 |
1 | 4 | 4 | 10001004004 |
2 | 3 | 5 | 20001003005 |
2 | 4 | 4 | 20001004004 |
2 | 4 | 5 | 20001004005 |
Each row represents a record with its corresponding index key. The key is generated by concatenating the values of the columns in the specified order (a, b, c). Records are stored in the index according to this index key, allowing efficient lookups based on the specified column order.
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