There are many MySQL performance issues for turning out with similar solution and making troubleshooting and tuning MySQL a manageable task. You can find 4 tips for getting great performance in MySQl.

1) MySQL performance tip No.1: Workload Profile

If you profile the workload of the servers then you can very well understand how your server spends its time. You can most expose the costly queries for further tuning. You find time as the most important metric as you issue a query against the server, you lack care about anything except how rapidly it completes. With a tool such as MySQL Enterprise Monitor query analyzer is the best tool for profiling your workload. The server executes the tools captured queries and return a table of tasks sorted by reducing order of response time, instantly bubbling up the most expensive and time-consuming tasks for the top as you can see where to focus your efforts. Similar queries together with workload-profiling tools group allowing you to see the queries that are slow along with the queries that are fast but executed many times.

2) MySQL performance tip No. 2: Understand The Four Fundamental Resources

A database server requires four fundamental resources for functioning like CPU, Memory, disk, and network. If you find them erratic, weak, or overloaded then the database server is very likely to perform poorly. It is very significant for understanding the performance of fundamental resources and choosing hardware and troubleshooting problems. Choosing the hardware for MySQL, ensures good-performing components all around. Significantly balance them reasonably well against each other. Companies will select servers with fast CPUs and disks that has memory starvings.

3) MySQL performance tip No. 3: Don’t Use MySQL As A Queue

Queue-like access patterns can get into your software without the knowledge of it. For instance, if you keep the status of an item in such a way that a particular worker process can declare it before acting on it. Then you developing a queue unwittingly. Emails for marketing such as unsent, sending them, then marking them as sent is known example. There are two major reasons for which queues cause problems. Workload is serialized avoiding tasks for parallel work and often the result in a table contains work in process for historical data from jobs that was processed long ago.

4) MySQL performance tip No. 4: Filter Results By Cheapest First

MySQL optimization can be done in a great way by doing cheap and imprecise work first, resulting set of data, precise work on the smaller. For instance, if you are looking for something in a given circle of a point in geographical way. The great circle (Haversine ) formula is the first tool in many programmers for computing distance in the surface of a sphere. The formula requires a lot of trigonometric operations and is very CPU-intensive. There is a slow way of running great-circle calculations and make the CPU machine utilization skyrocket. To small subset of total pare down your records before implementing this great-circle formula. A circle within a square has an easy way of doing it. In this way the only things within the square gets hit by those costly trig functions.

Before applying the great-circle formula, pare down your records to a small subset of the total, and trim the resulting set to a precise circle. A square that contains the circle (precisely or imprecisely) is an easy way to do this. That way, the world outside the square never gets hit with all those costly trig functions.

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