What are the benefits of creating indexes on PolarDB?

Creating indexes on PolarDB significantly enhances the performance of query execution, particularly for SELECT statements. When an index is applied to a table, it allows the database engine to quickly locate and access the rows that match specific search criteria without having to scan the entire table. This results in faster retrieval times and improved overall query efficiency, especially for large datasets where scanning the full table would be time-consuming.

Indexes are designed to minimize the amount of data that needs to be read during a query, enabling better performance and responsiveness. This capability is especially important in database environments where speed and efficiency are critical for user experience and application performance.

While the other options may describe some advantages of database design, they do not directly correlate with the primary purpose of indexing within PolarDB. For example, while a well-designed index may simplify some aspects of query design, the main benefit lies in enhancing execution speed. Eliminating the need for backup procedures and reducing invalid data scanning are not functions that indexes perform. Instead, these concepts relate to data integrity and management practices outside the scope of what indexing achieves.