MySQL memory swap problems can be solved by checking memory usage, adjusting configuration, reducing memory consumption and optimizing system parameters. 1. Use free -m, vmstat, top and other commands to check whether swap and memory pressure occur; 2. Reasonably set parameters such as innodb_buffer_pool_size, max_connections, thread_stack, etc. to avoid memory overload; 3. Reduce background services, control the number of connections, and optimize large queries to reduce unnecessary memory usage; 4. Set swappiness to 0 or 1 and ensure that the swap partition is located on a high-performance disk to reduce active swap out.
MySQL memory swapping problems are a common cause of degraded database performance. Once MySQL starts using swap space, query latency increases significantly, system responses slow, and may even lead to unavailability of services. There are many reasons for this problem, such as unreasonable memory configuration, competing for system resources, and improper query design. The key to solving this type of problem is to identify the bottlenecks and make corresponding adjustments.

1. Check the current memory and Swap usage
First, you need to confirm whether swapping is really happening in the system. You can view it through the following command:
-
free -m
: Check the current memory and swap usage. -
vmstat
orsar
: observe whether there is continuous page-in/page-out activity. -
top
orhtop
: See if MySQL processes frequently enter D state (sleep cannot be interrupted), which is usually related to memory pressure.
If you find that swap usage is growing and physical memory is not fully released, it means that the system may be "forced" to use swap.

2. Reasonably set the memory parameters of MySQL
MySQL default configuration is usually not suitable for production environments. If no adjustments are made, it is easy to cause memory usage to be too high, which will trigger swap.
Key configuration items include:

-
innodb_buffer_pool_size
: This is the largest memory consumer. It is recommended to set it to 50%~70% of physical memory, but do not exceed the total memory capacity. -
max_connections
: Each connection will occupy a certain amount of memory, and too many connections will cause memory to skyrocket. -
thread_stack
: The thread stack size is large, and the default value is relatively large. Adjusting it appropriately can save memory. -
query_cache_size
: Although it has been removed from the new version, if you are still using the old version, remember to turn it off or set it to 0 to avoid memory waste.
For example, suppose you have a 32GB memory server running MySQL and a small number of other services. You can set the buffer pool to 20G, and then leave 4~6G for the operating system and other processes, and the rest for connections and temporary operations.
3. Avoid unnecessary memory consumption
In addition to MySQL itself, other programs running on the system may also squeeze out memory resources, forcing MySQL to be swapped out to swap.
The following points can be considered:
- Reduce unnecessary backend services (such as log collection, monitoring agent, etc.).
- Controls the number of connections to prevent connection storm.
- Avoid performing large queries for full table scans, which not only consume CPU, but may also consume a lot of temporary memory.
- Use slow query logs to find and optimize those resources-consuming SQL.
Sometimes, a poorly written SQL can trigger memory crisis in the entire system.
4. Optimize Swap behavior at the system level
Even if you set enough memory, the Linux system will sometimes "pre-order" swap out some memory contents to swap, which is controlled by swappiness
parameter.
- View the current value:
cat /proc/sys/vm/swappiness
- Suggested value: For MySQL servers, setting it to 0 or 1 is more appropriate, indicating that swap is not actively used unless absolutely necessary.
- Permanently modify the method: Edit
/etc/sysctl.conf
file, addvm.swappiness=1
, and then executesysctl -p
to take effect.
Also, make sure the swap partition is not placed on a poorly performing disk, which will affect recovery speed.
Basically that's it. Memory swapping is an issue that is easy to ignore but has a huge impact. It can be avoided in most cases by configuring MySQL and system parameters properly.
The above is the detailed content of Troubleshooting MySQL Memory Swapping Issues. For more information, please follow other related articles on the PHP Chinese website!

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