What are some best practices for creating database indexes?

Indexing is a crucial aspect of database design and optimization, as it can greatly improve query performance. The best practice of indexing frequently queried fields with low modification frequency is important because it enhances the efficiency of read operations while minimizing the overhead associated with maintaining the index during write operations. Fields that are queried often become prime candidates for indexing as it allows the database to quickly locate the data, reducing the time it takes to execute queries.

Indexing fields that have low modification frequency means that the index won’t have to be updated often, which reduces the performance impact during data modification operations (insert, update, delete). This balance is essential in maintaining the overall performance of the database, as excessive indexing or indexing of frequently changing data can lead to degraded performance due to the constant updates needed on the indexes.

On the other hand, limiting indexed fields to a specific number may not hold true universally, as the optimal number of indexes can depend on the specific use case and query patterns. Applying indexing to all fields without consideration of their usage is counterproductive, as unnecessary indexes can lead to increased storage costs and slower performance during write operations. Lastly, indexing only long fields is not a comprehensive approach either; effective indexing should consider how the fields are used in queries, rather than