AUTHOR: @Marko Budiselic DATE: January 25, 2025

Intro

Virtual Memory (VM) mapping under Linux refers to how the kernel translates a process’s virtual address space into physical memory locations (or swap). Each process sees its own continuous range of addresses, while the kernel manages the behind-the-scenes mapping via page tables. When a process tries to access a virtual address, the system consults these page tables to find the corresponding physical page. If it isn’t present in RAM, the kernel may load it from disk (demand paging) or swap. This abstraction allows efficient use of memory and protects processes from interfering with each other’s data. Various regions (code, heap, stack, shared libraries) are mapped with appropriate permissions to ensure security and stability.

vm.max_map_count is a Linux kernel parameter that sets the maximum number of VM mappings a process can have. Each mapping represents a specific range in a process’s virtual address space, used for loading files, shared libraries, memory-mapped I/O, or anonymous memory allocations. For example, each dynamic library or separate file mapping typically creates a new entry. If the number of mappings exceeds vm.max_map_count, further attempts to create new mappings will fail, potentially causing errors or crashes. This limit helps protect the system by preventing a single process from exhausting system resources with excessive mappings. However, some applications (especially those with many small mappings) may require a higher limit, so administrators sometimes adjust vm.max_map_count accordingly. Careful tuning is important—raising it too high may consume additional kernel memory for managing page tables, while keeping it too low can lead to application failures.

sysctl_max_map_count is the kernel override for the limit, you can see it used here:

vm.max_map_count does not change the underlying data structure, just how large it can get. What is being tracked is vm_area_struct, either new area, or grow/extend/split/remove an existing one. These are held in either a red black tree (older kernel), or a maple tree (newer kernel). In either case the actual memory consumption of these data structures does not matter, the memory consumed is only for what the program requires. It does not select different data structures or do alternative preallocation. Its just how many entries are in the tree and hence impacts how deep that tree can get (which can impact perf). FYI a newer kernel 6.1+, those maple trees use less memory, are not as deep, and cache friendly (advise running on linux 6.1 or newer).

The default value for vm.max_map_count is often sufficient for most use cases. However, workloads like databases or applications requiring numerous memory mappings (e.g., many files or shared libraries) might require higher limits.

Implications of vm.max_map_count Changes