Understanding database [9] : Choosing indexes

Understanding database 9 : Choosing indexes

When choosing indexes, we choose the best plan that suits for the queries, and look for additional indexes that may potentially upgrade upon that. Before creating, we must also consider the impact on updates in the workload, such that indexes take disk space.

For a query, the WHERE clause are the main focus point to make indexes on, where exact matches suggest a hash index and range queries suggest a tree index. Clustering is extremely helpful when it comes to range queries, and may also help with equality queries if there are duplicates. Search keys with multiple attribute should be considered if a WHERE clause contains multiple conditions, and the order of attributes is important for range queries. Searching may become ‘index-only’ with such indexes.

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