docs: Update MEMORY_PRESSURE.md => PRESSURE.md

Make the doc more generic and mention all pressure types, not just
memory.
This commit is contained in:
Daan De Meyer
2026-04-09 22:47:10 +02:00
committed by Daan De Meyer
parent 594659da06
commit 158f2d50bf
6 changed files with 261 additions and 243 deletions
+2 -239
View File
@@ -1,241 +1,4 @@
---
title: Memory Pressure Handling
category: Interfaces
layout: default
SPDX-License-Identifier: LGPL-2.1-or-later
layout: forward
target: /PRESSURE
---
# Memory Pressure Handling in systemd
When the system is under memory pressure (i.e. some component of the OS
requires memory allocation but there is only very little or none available),
it can attempt various things to make more memory available again ("reclaim"):
* The kernel can flush out memory pages backed by files on disk, under the
knowledge that it can reread them from disk when needed again. Candidate
pages are the many memory mapped executable files and shared libraries on
disk, among others.
* The kernel can flush out memory pages not backed by files on disk
("anonymous" memory, i.e. memory allocated via `malloc()` and similar calls,
or `tmpfs` file system contents) if there's swap to write it to.
* Userspace can proactively release memory it allocated but doesn't immediately
require back to the kernel. This includes allocation caches, and other forms
of caches that are not required for normal operation to continue.
The latter is what we want to focus on in this document: how to ensure
userspace process can detect mounting memory pressure early and release memory
back to the kernel as it happens, relieving the memory pressure before it
becomes too critical.
The effects of memory pressure during runtime generally are growing latencies
during operation: when a program requires memory but the system is busy writing
out memory to (relatively slow) disks in order make some available, this
generally surfaces in scheduling latencies, and applications and services will
slow down until memory pressure is relieved. Hence, to ensure stable service
latencies it is essential to release unneeded memory back to the kernel early
on.
On Linux the [Pressure Stall Information
(PSI)](https://docs.kernel.org/accounting/psi.html) Linux kernel interface is
the primary way to determine the system or a part of it is under memory
pressure. PSI makes available to userspace a `poll()`-able file descriptor that
gets notifications whenever memory pressure latencies for the system or a
control group grow beyond some level.
`systemd` itself makes use of PSI, and helps applications to do so too.
Specifically:
* Most of systemd's long running components watch for PSI memory pressure
events, and release allocation caches and other resources once seen.
* systemd's service manager provides a protocol for asking services to monitor
PSI events and configure the appropriate pressure thresholds.
* systemd's `sd-event` event loop API provides a high-level call
`sd_event_add_memory_pressure()` enabling programs using it to efficiently
hook into the PSI memory pressure protocol provided by the service manager,
with very few lines of code.
## Memory Pressure Service Protocol
If memory pressure handling for a specific service is enabled via
`MemoryPressureWatch=` the memory pressure service protocol is used to tell the
service code about this. Specifically two environment variables are set by the
service manager, and typically consumed by the service:
* The `$MEMORY_PRESSURE_WATCH` environment variable will contain an absolute
path in the file system to the file to watch for memory pressure events. This
will usually point to a PSI file such as the `memory.pressure` file of the
service's cgroup. In order to make debugging easier, and allow later
extension it is recommended for applications to also allow this path to refer
to an `AF_UNIX` stream socket in the file system or a FIFO inode in the file
system. Regardless of which of the three types of inodes this absolute path
refers to, all three are `poll()`-able for memory pressure events. The
variable can also be set to the literal string `/dev/null`. If so the service
code should take this as indication that memory pressure monitoring is not
desired and should be turned off.
* The `$MEMORY_PRESSURE_WRITE` environment variable is optional. If set by the
service manager it contains Base64 encoded data (that may contain arbitrary
binary values, including NUL bytes) that should be written into the path
provided via `$MEMORY_PRESSURE_WATCH` right after opening it. Typically, if
talking directly to a PSI kernel file this will contain information about the
threshold settings configurable in the service manager.
When a service initializes it hence should look for
`$MEMORY_PRESSURE_WATCH`. If set, it should try to open the specified path. If
it detects the path to refer to a regular file it should assume it refers to a
PSI kernel file. If so, it should write the data from `$MEMORY_PRESSURE_WRITE`
into the file descriptor (after Base64-decoding it, and only if the variable is
set) and then watch for `POLLPRI` events on it. If it detects the paths refers
to a FIFO inode, it should open it, write the `$MEMORY_PRESSURE_WRITE` data
into it (as above) and then watch for `POLLIN` events on it. Whenever `POLLIN`
is seen it should read and discard any data queued in the FIFO. If the path
refers to an `AF_UNIX` socket in the file system, the application should
`connect()` a stream socket to it, write `$MEMORY_PRESSURE_WRITE` into it (as
above) and watch for `POLLIN`, discarding any data it might receive.
To summarize:
* If `$MEMORY_PRESSURE_WATCH` points to a regular file: open and watch for
`POLLPRI`, never read from the file descriptor.
* If `$MEMORY_PRESSURE_WATCH` points to a FIFO: open and watch for `POLLIN`,
read/discard any incoming data.
* If `$MEMORY_PRESSURE_WATCH` points to an `AF_UNIX` socket: connect and watch
for `POLLIN`, read/discard any incoming data.
* If `$MEMORY_PRESSURE_WATCH` contains the literal string `/dev/null`, turn off
memory pressure handling.
(And in each case, immediately after opening/connecting to the path, write the
decoded `$MEMORY_PRESSURE_WRITE` data into it.)
Whenever a `POLLPRI`/`POLLIN` event is seen the service is under memory
pressure. It should use this as hint to release suitable redundant resources,
for example:
* glibc's memory allocation cache, via
[`malloc_trim()`](https://man7.org/linux/man-pages/man3/malloc_trim.3.html). Similar,
allocation caches implemented in the service itself.
* Any other local caches, such DNS caches, or web caches (in particular if
service is a web browser).
* Terminate any idle worker threads or processes.
* Run a garbage collection (GC) cycle, if the runtime environment supports it.
* Terminate the process if idle, and can be automatically started when
needed next.
Which actions precisely to take depends on the service in question. Note that
the notifications are delivered when memory allocation latency already degraded
beyond some point. Hence when discussing which resources to keep and which to
discard, keep in mind it's typically acceptable that latencies incurred
recovering discarded resources at a later point are acceptable, given that
latencies *already* are affected negatively.
In case the path supplied via `$MEMORY_PRESSURE_WATCH` points to a PSI kernel
API file, or to an `AF_UNIX` opening it multiple times is safe and reliable,
and should deliver notifications to each of the opened file descriptors. This
is specifically useful for services that consist of multiple processes, and
where each of them shall be able to release resources on memory pressure.
The `POLLPRI`/`POLLIN` conditions will be triggered every time memory pressure
is detected, but not continuously. It is thus safe to keep `poll()`-ing on the
same file descriptor continuously, and executing resource release operations
whenever the file descriptor triggers without having to expect overloading the
process.
(Currently, the protocol defined here only allows configuration of a single
"degree" of memory pressure, there's no distinction made on how strong the
pressure is. In future, if it becomes apparent that there's clear need to
extend this we might eventually add different degrees, most likely by adding
additional environment variables such as `$MEMORY_PRESSURE_WRITE_LOW` and
`$MEMORY_PRESSURE_WRITE_HIGH` or similar, which may contain different settings
for lower or higher memory pressure thresholds.)
## Service Manager Settings
The service manager provides two per-service settings that control the memory
pressure handling:
* The
[`MemoryPressureWatch=`](https://www.freedesktop.org/software/systemd/man/latest/systemd.resource-control.html#MemoryPressureWatch=)
setting controls whether to enable the memory pressure protocol for the
service in question.
* The `MemoryPressureThresholdSec=` setting allows configuring the threshold
when to signal memory pressure to the services. It takes a time value
(usually in the millisecond range) that defines a threshold per 1s time
window: if memory allocation latencies grow beyond this threshold
notifications are generated towards the service, requesting it to release
resources.
The `/etc/systemd/system.conf` file provides two settings that may be used to
select the default values for the above settings. If the threshold isn't
configured via the per-service nor system-wide option, it defaults to 100ms.
When memory pressure monitoring is enabled for a service via
`MemoryPressureWatch=` this primarily does three things:
* It enables cgroup memory accounting for the service (this is a requirement
for per-cgroup PSI)
* It sets the aforementioned two environment variables for processes invoked
for the service, based on the control group of the service and provided
settings.
* The `memory.pressure` PSI control group file associated with the service's
cgroup is delegated to the service (i.e. permissions are relaxed so that
unprivileged service payload code can open the file for writing).
## Memory Pressure Events in `sd-event`
The
[`sd-event`](https://www.freedesktop.org/software/systemd/man/latest/sd-event.html)
event loop library provides two API calls that encapsulate the
functionality described above:
* The
[`sd_event_add_memory_pressure()`](https://www.freedesktop.org/software/systemd/man/latest/sd_event_add_memory_pressure.html)
call implements the service-side of the memory pressure protocol and
integrates it with an `sd-event` event loop. It reads the two environment
variables, connects/opens the specified file, writes the specified data to it,
then watches it for events.
* The `sd_event_trim_memory()` call may be called to trim the calling
processes' memory. It's a wrapper around glibc's `malloc_trim()`, but first
releases allocation caches maintained by libsystemd internally. This function
serves as the default when a NULL callback is supplied to
`sd_event_add_memory_pressure()`.
When implementing a service using `sd-event`, for automatic memory pressure
handling, it's typically sufficient to add a line such as:
```c
(void) sd_event_add_memory_pressure(event, NULL, NULL, NULL);
```
– right after allocating the event loop object `event`.
## Other APIs
Other programming environments might have native APIs to watch memory
pressure/low memory events. Most notable is probably GLib's
[GMemoryMonitor](https://docs.gtk.org/gio/iface.MemoryMonitor.html). As of GLib
2.86.0, it uses the per-cgroup PSI kernel file to monitor for memory pressure,
but does not yet read the environment variables recommended above.
In older versions, it used the per-system Linux PSI interface as the backend, but operated
differently than the above: memory pressure events were picked up by a system
service, which then propagated this through D-Bus to the applications. This was
typically less than ideal, since this means each notification event had to
traverse three processes before being handled. This traversal created
additional latencies at a time where the system is already experiencing adverse
latencies. Moreover, it focused on system-wide PSI events, even though
service-local ones are generally the better approach.
+255
View File
@@ -0,0 +1,255 @@
---
title: Resource Pressure Handling
category: Interfaces
layout: default
SPDX-License-Identifier: LGPL-2.1-or-later
---
# Resource Pressure Handling in systemd
On Linux the [Pressure Stall Information
(PSI)](https://docs.kernel.org/accounting/psi.html) Linux kernel interface
provides a way to monitor resource pressure — situations where tasks are
stalled waiting for a resource to become available. PSI covers three types of
resources:
* **Memory pressure**: tasks are stalled because the system is low on memory
and the kernel is busy reclaiming it (e.g. writing out pages to swap or
flushing file-backed pages).
* **CPU pressure**: tasks are stalled waiting for CPU time because the CPU is
oversubscribed.
* **IO pressure**: tasks are stalled waiting for IO operations to complete
because the IO subsystem is saturated.
PSI makes available to userspace a `poll()`-able file descriptor that gets
notifications whenever pressure latencies for the system or a control group
grow beyond some configured level.
When the system is under memory pressure, userspace can proactively release
memory it allocated but doesn't immediately require back to the kernel. This
includes allocation caches, and other forms of caches that are not required for
normal operation to continue. Similarly, when CPU or IO pressure is detected,
services can take appropriate action such as reducing parallelism, deferring
background work, or shedding load.
The effects of resource pressure during runtime generally are growing latencies
during operation: applications and services slow down until pressure is
relieved. Hence, to ensure stable service latencies it is essential to detect
pressure early and respond appropriately.
`systemd` itself makes use of PSI, and helps applications to do so too.
Specifically:
* Most of systemd's long running components watch for PSI memory pressure
events, and release allocation caches and other resources once seen.
* systemd's service manager provides a protocol for asking services to monitor
PSI events and configure the appropriate pressure thresholds, for memory, CPU,
and IO pressure independently.
* systemd's `sd-event` event loop API provides high-level calls
`sd_event_add_memory_pressure()`, `sd_event_add_cpu_pressure()`, and
`sd_event_add_io_pressure()` enabling programs using it to efficiently hook
into the PSI pressure protocol provided by the service manager, with very few
lines of code.
## Pressure Service Protocol
For each resource type, if pressure handling for a specific service is enabled
via the corresponding `*PressureWatch=` setting (i.e. `MemoryPressureWatch=`,
`CPUPressureWatch=`, or `IOPressureWatch=`), two environment variables are set
by the service manager:
* `$MEMORY_PRESSURE_WATCH` / `$CPU_PRESSURE_WATCH` / `$IO_PRESSURE_WATCH` —
contains an absolute path in the file system to the file to watch for
pressure events. This will usually point to a PSI file such as the
`memory.pressure`, `cpu.pressure`, or `io.pressure` file of the service's
cgroup. In order to make debugging easier, and allow later extension it is
recommended for applications to also allow this path to refer to an `AF_UNIX`
stream socket in the file system or a FIFO inode in the file system.
Regardless of which of the three types of inodes this absolute path refers
to, all three are `poll()`-able for pressure events. The variable can also be
set to the literal string `/dev/null`. If so the service code should take this
as indication that pressure monitoring for this resource is not desired and
should be turned off.
* `$MEMORY_PRESSURE_WRITE` / `$CPU_PRESSURE_WRITE` / `$IO_PRESSURE_WRITE` —
optional. If set by the service manager it contains Base64 encoded data (that
may contain arbitrary binary values, including NUL bytes) that should be
written into the path provided via the corresponding `*_PRESSURE_WATCH`
variable right after opening it. Typically, if talking directly to a PSI
kernel file this will contain information about the threshold settings
configurable in the service manager.
The protocol works the same for all three resource types. The remainder of this
section uses memory pressure as the example, but the same logic applies to CPU
and IO pressure with the corresponding environment variable names.
When a service initializes it hence should look for
`$MEMORY_PRESSURE_WATCH`. If set, it should try to open the specified path. If
it detects the path to refer to a regular file it should assume it refers to a
PSI kernel file. If so, it should write the data from `$MEMORY_PRESSURE_WRITE`
into the file descriptor (after Base64-decoding it, and only if the variable is
set) and then watch for `POLLPRI` events on it. If it detects the path refers
to a FIFO inode, it should open it, write the `$MEMORY_PRESSURE_WRITE` data
into it (as above) and then watch for `POLLIN` events on it. Whenever `POLLIN`
is seen it should read and discard any data queued in the FIFO. If the path
refers to an `AF_UNIX` socket in the file system, the application should
`connect()` a stream socket to it, write `$MEMORY_PRESSURE_WRITE` into it (as
above) and watch for `POLLIN`, discarding any data it might receive.
To summarize:
* If `$MEMORY_PRESSURE_WATCH` points to a regular file: open and watch for
`POLLPRI`, never read from the file descriptor.
* If `$MEMORY_PRESSURE_WATCH` points to a FIFO: open and watch for `POLLIN`,
read/discard any incoming data.
* If `$MEMORY_PRESSURE_WATCH` points to an `AF_UNIX` socket: connect and watch
for `POLLIN`, read/discard any incoming data.
* If `$MEMORY_PRESSURE_WATCH` contains the literal string `/dev/null`, turn off
memory pressure handling.
(And in each case, immediately after opening/connecting to the path, write the
decoded `$MEMORY_PRESSURE_WRITE` data into it.)
Whenever a `POLLPRI`/`POLLIN` event is seen the service is under pressure. It
should use this as hint to release suitable redundant resources, for example:
* glibc's memory allocation cache, via
[`malloc_trim()`](https://man7.org/linux/man-pages/man3/malloc_trim.3.html). Similarly,
allocation caches implemented in the service itself.
* Any other local caches, such as DNS caches, or web caches (in particular if
service is a web browser).
* Terminate any idle worker threads or processes.
* Run a garbage collection (GC) cycle, if the runtime environment supports it.
* Terminate the process if idle, and can be automatically started when
needed next.
Which actions precisely to take depends on the service in question and the type
of pressure. Note that the notifications are delivered when resource latency
already degraded beyond some point. Hence when discussing which resources to
keep and which to discard, keep in mind it's typically acceptable that latencies
incurred recovering discarded resources at a later point are acceptable, given
that latencies *already* are affected negatively.
In case the path supplied via `$MEMORY_PRESSURE_WATCH` points to a PSI kernel
API file, or to an `AF_UNIX` socket, opening it multiple times is safe and reliable,
and should deliver notifications to each of the opened file descriptors. This
is specifically useful for services that consist of multiple processes, and
where each of them shall be able to release resources on memory pressure.
The `POLLPRI`/`POLLIN` conditions will be triggered every time pressure is
detected, but not continuously. It is thus safe to keep `poll()`-ing on the
same file descriptor continuously, and executing resource release operations
whenever the file descriptor triggers without having to expect overloading the
process.
(Currently, the protocol defined here only allows configuration of a single
"degree" of pressure per resource type, there's no distinction made on how
strong the pressure is. In future, if it becomes apparent that there's clear
need to extend this we might eventually add different degrees, most likely by
adding additional environment variables such as `$MEMORY_PRESSURE_WRITE_LOW`
and `$MEMORY_PRESSURE_WRITE_HIGH` or similar, which may contain different
settings for lower or higher pressure thresholds.)
## Service Manager Settings
The service manager provides two per-service settings for each resource type
that control pressure handling:
* `MemoryPressureWatch=` / `CPUPressureWatch=` / `IOPressureWatch=` controls
whether to enable the pressure protocol for the respective resource type for
the service in question. See
[`systemd.resource-control(5)`](https://www.freedesktop.org/software/systemd/man/latest/systemd.resource-control.html#MemoryPressureWatch=)
for details.
* `MemoryPressureThresholdSec=` / `CPUPressureThresholdSec=` /
`IOPressureThresholdSec=` allows configuring the threshold when to signal
pressure to the services. It takes a time value (usually in the millisecond
range) that defines a threshold per 1s time window: if resource latencies grow
beyond this threshold notifications are generated towards the service,
requesting it to release resources.
The `/etc/systemd/system.conf` file provides two settings for each resource
type that may be used to select the default values for the above settings. If
the threshold isn't configured via the per-service nor system-wide option, it
defaults to 100ms.
When pressure monitoring is enabled for a service this primarily does three
things:
* It enables the corresponding cgroup accounting for the service (this is a
requirement for per-cgroup PSI).
* It sets the aforementioned two environment variables for processes invoked
for the service, based on the control group of the service and provided
settings.
* The corresponding PSI control group file (`memory.pressure`, `cpu.pressure`,
or `io.pressure`) associated with the service's cgroup is delegated to the
service (i.e. permissions are relaxed so that unprivileged service payload
code can open the file for writing).
## Pressure Events in `sd-event`
The
[`sd-event`](https://www.freedesktop.org/software/systemd/man/latest/sd-event.html)
event loop library provides API calls that encapsulate the functionality
described above:
* [`sd_event_add_memory_pressure()`](https://www.freedesktop.org/software/systemd/man/latest/sd_event_add_memory_pressure.html),
`sd_event_add_cpu_pressure()`, and `sd_event_add_io_pressure()` implement the
service-side of the pressure protocol for each resource type and integrate it
with an `sd-event` event loop. Each reads the corresponding two environment
variables, connects/opens the specified file, writes the specified data to it,
then watches it for events.
* The `sd_event_trim_memory()` call may be called to trim the calling
processes' memory. It's a wrapper around glibc's `malloc_trim()`, but first
releases allocation caches maintained by libsystemd internally. This function
serves as the default when a NULL callback is supplied to
`sd_event_add_memory_pressure()`. Note that the default handler for
`sd_event_add_cpu_pressure()` and `sd_event_add_io_pressure()` is a no-op;
a custom callback should be provided for CPU and IO pressure to take
meaningful action.
When implementing a service using `sd-event`, for automatic memory pressure
handling, it's typically sufficient to add a line such as:
```c
(void) sd_event_add_memory_pressure(event, NULL, NULL, NULL);
```
– right after allocating the event loop object `event`. For CPU and IO pressure,
a custom handler should be provided to take appropriate action:
```c
(void) sd_event_add_cpu_pressure(event, NULL, my_cpu_pressure_handler, userdata);
(void) sd_event_add_io_pressure(event, NULL, my_io_pressure_handler, userdata);
```
## Other APIs
Other programming environments might have native APIs to watch memory
pressure/low memory events. Most notable is probably GLib's
[GMemoryMonitor](https://docs.gtk.org/gio/iface.MemoryMonitor.html). As of GLib
2.86.0, it uses the per-cgroup PSI kernel file to monitor for memory pressure,
but does not yet read the environment variables recommended above.
In older versions, it used the per-system Linux PSI interface as the backend, but operated
differently than the above: memory pressure events were picked up by a system
service, which then propagated this through D-Bus to the applications. This was
typically less than ideal, since this means each notification event had to
traverse three processes before being handled. This traversal created
additional latencies at a time where the system is already experiencing adverse
latencies. Moreover, it focused on system-wide PSI events, even though
service-local ones are generally the better approach.