The efficiency of database queries in MySQL can make all the
difference in the performance and responsiveness of applications.
In this blog post, I’ll dig into MySQL query optimization and
show how MySQL uses indexes in cases of queries using sorting and
limiting. While sorting may seem simple, it’s important to
understand how to do it efficiently and effectively to ensure
your queries are optimized and use better indexing.
Since sorting your rows is not free, it can take a significant
amount of resources and time to sort large data sets; thus, it’s
important to do it cautiously. If you don’t need your rows in a
certain order, don’t order them.
However, if you need to order your rows, doing it efficiently and
effectively is essential to optimize your queries. You must
understand how to use indexes to make sorting cheaper.
Looking at this, can you say which is faster: LIMIT 1 or LIMIT
10? Presumably, fetching …
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