Finally, the server itself might fail to operate any other requests.In other words, results are never received (Queries takes more than timeout). After that, some requests suffers from timeout.It might cause delay in results (Slow queries).This problem is a nightmare for any company: What about 6 months? We might be facing a Crisis!.What happens after 1 month? A lot of data.For 20 roads with an average of 250k car everyday, the system saves the details of each car’s passing time, fees, subscription, driver name, responsible employee and so on. Let’s take an example:Ī company is responsible for the system of roads’ tolls throughout a country. At first, you only have limited number of records, why the worry?! This scenario causes very bad consequences. If you are more concerned with the practical parts, you are in the right place.Īt design-time, some databases’ designers neglect performance. If you are interested in experiment’s technical details, check this repository. Don’t worry, we will avoid theoretical parts as possible (who loves equations anyway?!) Now, we are going to discuss SQL Joins Performance and the usage of indexes with important tips on how to improve the performance of the queries that uses joins on huge tables. If you aren’t familiar with SQL Joins, kindly, read it first. It talks about the basic concepts of joins and compares between different types of inner and outer joins. This is the second article from SQL Joins series, you can find the first article here.
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