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Steilla Mitchel

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Aryan Kumar

Aryan Kumar

20-Nov-2023

In the context of a relational database, a clustered index and a non-clustered index are two types of indexes that impact how data is stored and retrieved. Here are the key differences between them:

Organization of Data:

Clustered Index:

  • The data rows in a table are stored in the order of the clustered index key.
  • There can be only one clustered index per table because the data rows themselves are physically reordered based on the clustered index key.

Non-Clustered Index:

  • The index itself contains a separate structure from the actual data rows. It has its own order, but it does not affect the physical order of the data rows in the table.
  • Multiple non-clustered indexes can exist on a single table, and they are stored separately from the data.

Performance:

Clustered Index:

  • Generally provides faster retrieval of rows when the query uses the clustered index key because the data is physically organized in that order.
  • Slower for inserts, updates, and deletes, especially when the operation affects the order of the clustered index.

Non-Clustered Index:

  • May be slower for retrieval compared to a clustered index, especially if the query does not use the non-clustered index key.
  • Faster for inserts, updates, and deletes, as these operations do not require rearranging the physical order of the data.

Size and Maintenance:

Clustered Index:

  • The size of the clustered index is the size of the table itself because the data rows are part of the index.
  • Rebuilding or reorganizing the clustered index can be a resource-intensive operation.

Non-Clustered Index:

  • The size of the non-clustered index is separate from the size of the table.
  • Rebuilding or reorganizing a non-clustered index is typically less resource-intensive compared to a clustered index.

Suitability:

Clustered Index:

  • Well-suited for columns that are frequently used in range queries (e.g., BETWEEN, >, <).
  • May be suitable for columns with unique or sequential values.

Non-Clustered Index:

  • Suitable for columns used in searching, sorting, and filtering, but not necessarily in range queries.
  • Often used for columns with non-sequential or non-unique values.

In summary, the choice between a clustered and non-clustered index depends on the specific use case and the types of queries performed on the data. Clustered indexes are generally beneficial for certain types of queries but come with trade-offs during data modification operations, while non-clustered indexes provide more flexibility and efficiency in terms of data modification but may have slightly slower retrieval performance in some scenarios.

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