What kind of project are you working on? This question is very closely related to the second question because if your database is supporting a simple forum, it’s likely that there’s not that much data to work with on the other hand, if you’re running a big data project like a data breach search engine with billions of records, the toll on your database will be much higher.How much data is inside the database? Optimizing queries while having >100M records inside of the database is way more difficult than optimizing them while working on a small data set.read ( SELECT) queries usually benefit from indexes while INSERT, UPDATE, and DELETE queries are usually disturbed by them, etc. What kind of queries are you optimizing? Each type of query ( INSERT, SELECT, UPDATE, DELETE) requires a different approach – e.g.Here are some general things you should keep in mind: People usually turn to the performance side of their queries whenever their applications are slowing down, however, not everything is query-related. Application Performance – the Basicsīefore we tell you how best to optimize queries that are running within your database, you should decide on the path you’re taking. In this blog, we will help you figure out how best to ensure that your queries are optimized for peak performance at all times. If there‘s no DBA on board, this task is usually undertaken by senior developers, but the issues they face remain the same – and fixing them may not be the easiest of tasks. Optimizing the performance of queries is one of the main tasks of a modern-day DBA. Slow performance = complaining customers = less revenue. Think about it: would you stay on a website if it was as slow as a turtle? Most likely not. Every seasoned DBA knows the importance of performance – it is the hidden backbone of applications: after all, it is one of the main reasons why our applications load quickly, why we‘re redirected from one page to another without even noticing a thing, and why business ventures bring revenue.
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