This is the second part of a two-part series blog for Maximizing Database Query Efficiency In MySQL. You can read part one here.
Using Single-Column, Composite, Prefix, and Covering Index
Tables that are frequently receiving high traffic must be properly indexed. It's not only important to index your table, but you also need to determine and analyze what are the types of queries or types of retrieval that you need for the specific table. It is strongly recommended that you analyze what type of queries or retrieval of data you need on a specific table before you decide what indexes are required for the table. Let's go over these types of indexes and how you can use them to maximize your query performance.
Single-Column Index
InnoD table can contain a maximum of 64 secondary indexes. A …
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