When to use less than 90% of memory in MySQL?

When to use less than 90% of memory in MySQL?

There are cases when MySQL should use significantly less than 90% of memory: If there are other important processes running on the same server, either all the time or periodically. If you have heavy batch jobs run from cron, which require a lot of memory, you’ll need to account for that.

Why does MySQL have a lot of memory?

Depending on the memory allocation library you’re using (glibc, TCMalloc, jemalloc, etc.), the operating system settings such as Transparent Huge Pages (THP) and workload may show memory usage to grow over time (until it reaches some steady state). Memory fragmentation can also account for 10% or more of additional memory usage.

What should MySQL buffer size be for 16GB?

Considering the 5-7% overhead that the InnodB Buffer Pool has, a sensible setting is innodb_buffer_pool_size=12G – what we very commonly see working well for systems with 16GB of memory. Now that we have configured MySQL memory usage, we also should look at the OS configuration.

How many important settings are in MySQL Stack Overflow?

Most MySQL tips on stackoverflow will tell you about 5-8 so called important settings. First off, not all of them matter – e.g. allocating a lot of resources to InnoDB and not using InnoDB doesn’t make a lot of sense because those resources are wasted.

How to check the memory usage of MySQL?

Checking MySQL Server Memory There are many ways to check the memory consumption of MySQL. So, I’m just trying here to explain it by combining all the details that I know of in this post. Check memory related Global/Session variables.

How much memory does a SQL Server use?

This memory is almost always vastly smaller than the buffer pool. Again though, if SQL is using too much memory, reduce the value for max server memory slightly. I don’t know if this helps, but we have a SQL Server with 72 GB of memory. It typically runs between 85% and 88%, but occasionally spikes to 92%.