Query statistics are taken from the Performance Schema, and includes information about timing, temporary tables, indexes, joins, and more. The layout changed, and additional information is now viewable by hovering over the fields.
For MySQL server 5. View table information, similar to the Schema Inspector. This also has a simpler and easier to use interface for analyzing and creating indexes for your tables. Also, a Thread Stack view option was added by right-clicking a connection entry in the Client Connections tab and choosing View Thread Stack. Figure 1. Like any software, MySQL has many configurable settings that can be used to modify behavior and ultimately, performance.
And like any software, many of these configurable settings are ignored by administrators and end up being used in their default mode. To get the best performance from MySQL, it is important to understand the configurable MySQL settings and—more important—set them to work best for your database environment. By default, MySQL comes tuned for a small-scale development installation, not for production scale. You typically want to configure MySQL to use all of the memory resources available, as well as to allow the number of connections that your application requires.
This is the main reason for using a system with a large amount of RAM as your database server. If you are running very complicated queries, or you have very large numbers of concurrent database connections, or you have very large numbers of tables, you might need to take this value down a notch to allocate more memory for other purposes.
This absolutely kills your database performance. As this graph shows, some swapping is fine every so often. If, however, you see sustained swapping activity of 1MB per second or more, you will need to reduce your buffer pool size or other memory uses. Starting with MySQL 5. By default, InnoDB uses two values so that you can double this number to get the size of the circular redo log space InnoDB uses to make sure your transactions are durable.
This also optimizes applying changes to the database. The larger the redo space you allocate, the better the performance you will achieve for a write-intensive workload, but the longer the time for crash recovery if your system suffers power loss or other problems.
You can tell by looking at how much of the usable redo log space is actually used. In the graph below, the InnoDB log file size is not large enough, as the space used pushes very close to how much usable redo log space is available indicated by the red line.
Your log file size should be at least 20 percent greater than the amount of space used to keep your system performing optimally. Getting this variable right is important. It can be difficult to know how many connections you need for complex applications with many components running on multiple servers.
Fortunately, MySQL makes it very easy to see how many connections are used at peak operation. Typically you want to ensure there is at least a 30 percent gap between the maximum number of connections your application uses and the maximum number of connections available.
The graph below shows a healthy system, where there is a good number of additional connections available. One thing to keep in mind is that if your database runs slowly, applications often create an excessive number of connections.
In such cases, you should work on the database performance problem rather than simply allowing more connections. More connections can make the underlying performance problem worse. Rick James Rick James Marco 3, 4 4 gold badges 20 20 silver badges 25 25 bronze badges.
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