How long mysql query

But if it is to retrieve data for real time user interaction such as showing a website or getting details to show to the user than its how long your user is willing to wait for. Personally i try to keep my total query for all actions at a given time under seconds for serious data crunching stuff usually start to optimise at 1 second mark.

You should start worrying when the query takes so long that usability suffers. For queries that are initiated by a website request, this time is short the user wants to see the page quickly ; for a non-critical batch update, this time is long should be finished before the next batch update arrives. There's no worry as long as there's no problem.

A query can take up to one hour if it crunches extremely large amount of data once every 6 months in a system where only it is running. It won't be a problem. Another query can take ms only but it's on a web server and persons are connecting simultaneously!

That's seconds, and almost 2 minutes for users simultaneously. If you can reduce it's resource consumption by half by say So the trick to know which query is good or bad is to keep track of every query running on a system, and aggregate it's disk IO, CPU usage and running time then optimize the problematic ones. That's a hard question, it depends a lot on your system, DB schema and mysql config. I can advice you to use mysqltuner theyselves to be sure that your config and your Db give you the best of themselves.

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Alternatively, use the zoom in and out icons to view a smaller or larger time period respectively. Wait statistics are meant for troubleshooting query performance issues.

It is recommended to be turned on only for troubleshooting purposes. If you receive the error message in the Azure portal " The issue encountered for 'Microsoft. If this issue continues or is unexpected, please contact support with this information.

Wait statistics provides a view of the wait events that occur during the execution of a specific query. Learn more about the wait event types in the MySQL engine documentation. Select the Wait Statistics tab to view the corresponding visualizations on waits in the server. Queries displayed in the wait statistics view are grouped by the queries that exhibit the largest waits during the specified time interval.

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Typical WordPress sites are limited to the capacity of a single database to serve read and write requests. As a result, high traffic sites can experience latency as requests are fulfilled. MySQL replication rapidly copies content from the "master" database to one or more "replica" databases.

This allows you to spread requests across multiple databases to improve site performance and load times. Learn Pantheon Office Hours. Toggle navigation.