Control Group v2¶

Date:: October, 2015
Author:: Tejun Heo <tj@kernel.org>

This is the authoritative documentation on the design, interface and conventions of cgroup v2. It describes all userland-visible aspects of cgroup including core and specific controller behaviors. All future changes must be reflected in this document. Documentation for v1 is available under Documentation/admin-guide/cgroup-v1/index.rst.

Introduction¶

Terminology¶

“cgroup” stands for “control group” and is never capitalized. The singular form is used to designate the whole feature and also as a qualifier as in “cgroup controllers”. When explicitly referring to multiple individual control groups, the plural form “cgroups” is used.

What is cgroup?¶

cgroup is a mechanism to organize processes hierarchically and distribute system resources along the hierarchy in a controlled and configurable manner.

cgroup is largely composed of two parts - the core and controllers. cgroup core is primarily responsible for hierarchically organizing processes. A cgroup controller is usually responsible for distributing a specific type of system resource along the hierarchy although there are utility controllers which serve purposes other than resource distribution.

cgroups form a tree structure and every process in the system belongs to one and only one cgroup. All threads of a process belong to the same cgroup. On creation, all processes are put in the cgroup that the parent process belongs to at the time. A process can be migrated to another cgroup. Migration of a process doesn’t affect already existing descendant processes.

Following certain structural constraints, controllers may be enabled or disabled selectively on a cgroup. All controller behaviors are hierarchical - if a controller is enabled on a cgroup, it affects all processes which belong to the cgroups consisting the inclusive sub-hierarchy of the cgroup. When a controller is enabled on a nested cgroup, it always restricts the resource distribution further. The restrictions set closer to the root in the hierarchy can not be overridden from further away.

Basic Operations¶

Mounting¶

Unlike v1, cgroup v2 has only single hierarchy. The cgroup v2 hierarchy can be mounted with the following mount command:

# mount -t cgroup2 none $MOUNT_POINT

cgroup2 filesystem has the magic number 0x63677270 (“cgrp”). All controllers which support v2 and are not bound to a v1 hierarchy are automatically bound to the v2 hierarchy and show up at the root. Controllers which are not in active use in the v2 hierarchy can be bound to other hierarchies. This allows mixing v2 hierarchy with the legacy v1 multiple hierarchies in a fully backward compatible way.

A controller can be moved across hierarchies only after the controller is no longer referenced in its current hierarchy. Because per-cgroup controller states are destroyed asynchronously and controllers may have lingering references, a controller may not show up immediately on the v2 hierarchy after the final umount of the previous hierarchy. Similarly, a controller should be fully disabled to be moved out of the unified hierarchy and it may take some time for the disabled controller to become available for other hierarchies; furthermore, due to inter-controller dependencies, other controllers may need to be disabled too.

While useful for development and manual configurations, moving controllers dynamically between the v2 and other hierarchies is strongly discouraged for production use. It is recommended to decide the hierarchies and controller associations before starting using the controllers after system boot.

During transition to v2, system management software might still automount the v1 cgroup filesystem and so hijack all controllers during boot, before manual intervention is possible. To make testing and experimenting easier, the kernel parameter cgroup_no_v1= allows disabling controllers in v1 and make them always available in v2.

cgroup v2 currently supports the following mount options.

nsdelegate
Consider cgroup namespaces as delegation boundaries. This option is system wide and can only be set on mount or modified through remount from the init namespace. The mount option is ignored on non-init namespace mounts. Please refer to the Delegation section for details.

favordynmods
Reduce the latencies of dynamic cgroup modifications such as task migrations and controller on/offs at the cost of making hot path operations such as forks and exits more expensive. The static usage pattern of creating a cgroup, enabling controllers, and then seeding it with CLONE_INTO_CGROUP is not affected by this option.

memory_localevents
Only populate memory.events with data for the current cgroup, and not any subtrees. This is legacy behaviour, the default behaviour without this option is to include subtree counts. This option is system wide and can only be set on mount or modified through remount from the init namespace. The mount option is ignored on non-init namespace mounts.

memory_recursiveprot
Recursively apply memory.min and memory.low protection to entire subtrees, without requiring explicit downward propagation into leaf cgroups. This allows protecting entire subtrees from one another, while retaining free competition within those subtrees. This should have been the default behavior but is a mount-option to avoid regressing setups relying on the original semantics (e.g. specifying bogusly high ‘bypass’ protection values at higher tree levels).

memory_hugetlb_accounting
Count HugeTLB memory usage towards the cgroup’s overall memory usage for the memory controller (for the purpose of statistics reporting and memory protetion). This is a new behavior that could regress existing setups, so it must be explicitly opted in with this mount option.

A few caveats to keep in mind:

There is no HugeTLB pool management involved in the memory controller. The pre-allocated pool does not belong to anyone. Specifically, when a new HugeTLB folio is allocated to the pool, it is not accounted for from the perspective of the memory controller. It is only charged to a cgroup when it is actually used (for e.g at page fault time). Host memory overcommit management has to consider this when configuring hard limits. In general, HugeTLB pool management should be done via other mechanisms (such as the HugeTLB controller).

Failure to charge a HugeTLB folio to the memory controller results in SIGBUS. This could happen even if the HugeTLB pool still has pages available (but the cgroup limit is hit and reclaim attempt fails).

Charging HugeTLB memory towards the memory controller affects memory protection and reclaim dynamics. Any userspace tuning (of low, min limits for e.g) needs to take this into account.

HugeTLB pages utilized while this option is not selected will not be tracked by the memory controller (even if cgroup v2 is remounted later on).

pids_localevents
The option restores v1-like behavior of pids.events:max, that is only local (inside cgroup proper) fork failures are counted. Without this option pids.events.max represents any pids.max enforcemnt across cgroup’s subtree.

Organizing Processes and Threads¶

Processes¶

Initially, only the root cgroup exists to which all processes belong. A child cgroup can be created by creating a sub-directory:

# mkdir $CGROUP_NAME

A given cgroup may have multiple child cgroups forming a tree structure. Each cgroup has a read-writable interface file “cgroup.procs”. When read, it lists the PIDs of all processes which belong to the cgroup one-per-line. The PIDs are not ordered and the same PID may show up more than once if the process got moved to another cgroup and then back or the PID got recycled while reading.

A process can be migrated into a cgroup by writing its PID to the target cgroup’s “cgroup.procs” file. Only one process can be migrated on a single write(2) call. If a process is composed of multiple threads, writing the PID of any thread migrates all threads of the process.

When a process forks a child process, the new process is born into the cgroup that the forking process belongs to at the time of the operation. After exit, a process stays associated with the cgroup that it belonged to at the time of exit until it’s reaped; however, a zombie process does not appear in “cgroup.procs” and thus can’t be moved to another cgroup.

A cgroup which doesn’t have any children or live processes can be destroyed by removing the directory. Note that a cgroup which doesn’t have any children and is associated only with zombie processes is considered empty and can be removed:

# rmdir $CGROUP_NAME

“/proc/$PID/cgroup” lists a process’s cgroup membership. If legacy cgroup is in use in the system, this file may contain multiple lines, one for each hierarchy. The entry for cgroup v2 is always in the format “0::$PATH”:

# cat /proc/842/cgroup
...
0::/test-cgroup/test-cgroup-nested

If the process becomes a zombie and the cgroup it was associated with is removed subsequently, “ (deleted)” is appended to the path:

# cat /proc/842/cgroup
...
0::/test-cgroup/test-cgroup-nested (deleted)

Threads¶

cgroup v2 supports thread granularity for a subset of controllers to support use cases requiring hierarchical resource distribution across the threads of a group of processes. By default, all threads of a process belong to the same cgroup, which also serves as the resource domain to host resource consumptions which are not specific to a process or thread. The thread mode allows threads to be spread across a subtree while still maintaining the common resource domain for them.

Controllers which support thread mode are called threaded controllers. The ones which don’t are called domain controllers.

Marking a cgroup threaded makes it join the resource domain of its parent as a threaded cgroup. The parent may be another threaded cgroup whose resource domain is further up in the hierarchy. The root of a threaded subtree, that is, the nearest ancestor which is not threaded, is called threaded domain or thread root interchangeably and serves as the resource domain for the entire subtree.

Inside a threaded subtree, threads of a process can be put in different cgroups and are not subject to the no internal process constraint - threaded controllers can be enabled on non-leaf cgroups whether they have threads in them or not.

As the threaded domain cgroup hosts all the domain resource consumptions of the subtree, it is considered to have internal resource consumptions whether there are processes in it or not and can’t have populated child cgroups which aren’t threaded. Because the root cgroup is not subject to no internal process constraint, it can serve both as a threaded domain and a parent to domain cgroups.

The current operation mode or type of the cgroup is shown in the “cgroup.type” file which indicates whether the cgroup is a normal domain, a domain which is serving as the domain of a threaded subtree, or a threaded cgroup.

On creation, a cgroup is always a domain cgroup and can be made threaded by writing “threaded” to the “cgroup.type” file. The operation is single direction:

# echo threaded > cgroup.type

Once threaded, the cgroup can’t be made a domain again. To enable the thread mode, the following conditions must be met.

As the cgroup will join the parent’s resource domain. The parent must either be a valid (threaded) domain or a threaded cgroup.
When the parent is an unthreaded domain, it must not have any domain controllers enabled or populated domain children. The root is exempt from this requirement.

Topology-wise, a cgroup can be in an invalid state. Please consider the following topology:

A (threaded domain) - B (threaded) - C (domain, just created)

C is created as a domain but isn’t connected to a parent which can host child domains. C can’t be used until it is turned into a threaded cgroup. “cgroup.type” file will report “domain (invalid)” in these cases. Operations which fail due to invalid topology use EOPNOTSUPP as the errno.

A domain cgroup is turned into a threaded domain when one of its child cgroup becomes threaded or threaded controllers are enabled in the “cgroup.subtree_control” file while there are processes in the cgroup. A threaded domain reverts to a normal domain when the conditions clear.

When read, “cgroup.threads” contains the list of the thread IDs of all threads in the cgroup. Except that the operations are per-thread instead of per-process, “cgroup.threads” has the same format and behaves the same way as “cgroup.procs”. While “cgroup.threads” can be written to in any cgroup, as it can only move threads inside the same threaded domain, its operations are confined inside each threaded subtree.

The threaded domain cgroup serves as the resource domain for the whole subtree, and, while the threads can be scattered across the subtree, all the processes are considered to be in the threaded domain cgroup. “cgroup.procs” in a threaded domain cgroup contains the PIDs of all processes in the subtree and is not readable in the subtree proper. However, “cgroup.procs” can be written to from anywhere in the subtree to migrate all threads of the matching process to the cgroup.

Only threaded controllers can be enabled in a threaded subtree. When a threaded controller is enabled inside a threaded subtree, it only accounts for and controls resource consumptions associated with the threads in the cgroup and its descendants. All consumptions which aren’t tied to a specific thread belong to the threaded domain cgroup.

Because a threaded subtree is exempt from no internal process constraint, a threaded controller must be able to handle competition between threads in a non-leaf cgroup and its child cgroups. Each threaded controller defines how such competitions are handled.

Currently, the following controllers are threaded and can be enabled in a threaded cgroup:

- cpu
- cpuset
- perf_event
- pids

[Un]populated Notification¶

Each non-root cgroup has a “cgroup.events” file which contains “populated” field indicating whether the cgroup’s sub-hierarchy has live processes in it. Its value is 0 if there is no live process in the cgroup and its descendants; otherwise, 1. poll and [id]notify events are triggered when the value changes. This can be used, for example, to start a clean-up operation after all processes of a given sub-hierarchy have exited. The populated state updates and notifications are recursive. Consider the following sub-hierarchy where the numbers in the parentheses represent the numbers of processes in each cgroup:

A(4) - B(0) - C(1)
            \ D(0)

A, B and C’s “populated” fields would be 1 while D’s 0. After the one process in C exits, B and C’s “populated” fields would flip to “0” and file modified events will be generated on the “cgroup.events” files of both cgroups.

Controlling Controllers¶

Enabling and Disabling¶

Each cgroup has a “cgroup.controllers” file which lists all controllers available for the cgroup to enable:

# cat cgroup.controllers
cpu io memory

No controller is enabled by default. Controllers can be enabled and disabled by writing to the “cgroup.subtree_control” file:

# echo "+cpu +memory -io" > cgroup.subtree_control

Only controllers which are listed in “cgroup.controllers” can be enabled. When multiple operations are specified as above, either they all succeed or fail. If multiple operations on the same controller are specified, the last one is effective.

Enabling a controller in a cgroup indicates that the distribution of the target resource across its immediate children will be controlled. Consider the following sub-hierarchy. The enabled controllers are listed in parentheses:

A(cpu,memory) - B(memory) - C()
                          \ D()

As A has “cpu” and “memory” enabled, A will control the distribution of CPU cycles and memory to its children, in this case, B. As B has “memory” enabled but not “CPU”, C and D will compete freely on CPU cycles but their division of memory available to B will be controlled.

As a controller regulates the distribution of the target resource to the cgroup’s children, enabling it creates the controller’s interface files in the child cgroups. In the above example, enabling “cpu” on B would create the “cpu.” prefixed controller interface files in C and D. Likewise, disabling “memory” from B would remove the “memory.” prefixed controller interface files from C and D. This means that the controller interface files - anything which doesn’t start with “cgroup.” are owned by the parent rather than the cgroup itself.

Top-down Constraint¶

Resources are distributed top-down and a cgroup can further distribute a resource only if the resource has been distributed to it from the parent. This means that all non-root “cgroup.subtree_control” files can only contain controllers which are enabled in the parent’s “cgroup.subtree_control” file. A controller can be enabled only if the parent has the controller enabled and a controller can’t be disabled if one or more children have it enabled.

No Internal Process Constraint¶

Non-root cgroups can distribute domain resources to their children only when they don’t have any processes of their own. In other words, only domain cgroups which don’t contain any processes can have domain controllers enabled in their “cgroup.subtree_control” files.

This guarantees that, when a domain controller is looking at the part of the hierarchy which has it enabled, processes are always only on the leaves. This rules out situations where child cgroups compete against internal processes of the parent.

The root cgroup is exempt from this restriction. Root contains processes and anonymous resource consumption which can’t be associated with any other cgroups and requires special treatment from most controllers. How resource consumption in the root cgroup is governed is up to each controller (for more information on this topic please refer to the Non-normative information section in the Controllers chapter).

Note that the restriction doesn’t get in the way if there is no enabled controller in the cgroup’s “cgroup.subtree_control”. This is important as otherwise it wouldn’t be possible to create children of a populated cgroup. To control resource distribution of a cgroup, the cgroup must create children and transfer all its processes to the children before enabling controllers in its “cgroup.subtree_control” file.

Delegation¶

Model of Delegation¶

A cgroup can be delegated in two ways. First, to a less privileged user by granting write access of the directory and its “cgroup.procs”, “cgroup.threads” and “cgroup.subtree_control” files to the user. Second, if the “nsdelegate” mount option is set, automatically to a cgroup namespace on namespace creation.

Because the resource control interface files in a given directory control the distribution of the parent’s resources, the delegatee shouldn’t be allowed to write to them. For the first method, this is achieved by not granting access to these files. For the second, files outside the namespace should be hidden from the delegatee by the means of at least mount namespacing, and the kernel rejects writes to all files on a namespace root from inside the cgroup namespace, except for those files listed in “/sys/kernel/cgroup/delegate” (including “cgroup.procs”, “cgroup.threads”, “cgroup.subtree_control”, etc.).

The end results are equivalent for both delegation types. Once delegated, the user can build sub-hierarchy under the directory, organize processes inside it as it sees fit and further distribute the resources it received from the parent. The limits and other settings of all resource controllers are hierarchical and regardless of what happens in the delegated sub-hierarchy, nothing can escape the resource restrictions imposed by the parent.

Currently, cgroup doesn’t impose any restrictions on the number of cgroups in or nesting depth of a delegated sub-hierarchy; however, this may be limited explicitly in the future.

Delegation Containment¶

A delegated sub-hierarchy is contained in the sense that processes can’t be moved into or out of the sub-hierarchy by the delegatee.

For delegations to a less privileged user, this is achieved by requiring the following conditions for a process with a non-root euid to migrate a target process into a cgroup by writing its PID to the “cgroup.procs” file.

The writer must have write access to the “cgroup.procs” file.
The writer must have write access to the “cgroup.procs” file of the common ancestor of the source and destination cgroups.

The above two constraints ensure that while a delegatee may migrate processes around freely in the delegated sub-hierarchy it can’t pull in from or push out to outside the sub-hierarchy.

For an example, let’s assume cgroups C0 and C1 have been delegated to user U0 who created C00, C01 under C0 and C10 under C1 as follows and all processes under C0 and C1 belong to U0:

~~~~~~~~~~~~~ - C0 - C00
~ cgroup    ~      \ C01
~ hierarchy ~
~~~~~~~~~~~~~ - C1 - C10

Let’s also say U0 wants to write the PID of a process which is currently in C10 into “C00/cgroup.procs”. U0 has write access to the file; however, the common ancestor of the source cgroup C10 and the destination cgroup C00 is above the points of delegation and U0 would not have write access to its “cgroup.procs” files and thus the write will be denied with -EACCES.

For delegations to namespaces, containment is achieved by requiring that both the source and destination cgroups are reachable from the namespace of the process which is attempting the migration. If either is not reachable, the migration is rejected with -ENOENT.

Guidelines¶

Organize Once and Control¶

Migrating a process across cgroups is a relatively expensive operation and stateful resources such as memory are not moved together with the process. This is an explicit design decision as there often exist inherent trade-offs between migration and various hot paths in terms of synchronization cost.

As such, migrating processes across cgroups frequently as a means to apply different resource restrictions is discouraged. A workload should be assigned to a cgroup according to the system’s logical and resource structure once on start-up. Dynamic adjustments to resource distribution can be made by changing controller configuration through the interface files.

Avoid Name Collisions¶

Interface files for a cgroup and its children cgroups occupy the same directory and it is possible to create children cgroups which collide with interface files.

All cgroup core interface files are prefixed with “cgroup.” and each controller’s interface files are prefixed with the controller name and a dot. A controller’s name is composed of lower case alphabets and ‘_’s but never begins with an ‘_’ so it can be used as the prefix character for collision avoidance. Also, interface file names won’t start or end with terms which are often used in categorizing workloads such as job, service, slice, unit or workload.

cgroup doesn’t do anything to prevent name collisions and it’s the user’s responsibility to avoid them.

Resource Distribution Models¶

cgroup controllers implement several resource distribution schemes depending on the resource type and expected use cases. This section describes major schemes in use along with their expected behaviors.

Weights¶

A parent’s resource is distributed by adding up the weights of all active children and giving each the fraction matching the ratio of its weight against the sum. As only children which can make use of the resource at the moment participate in the distribution, this is work-conserving. Due to the dynamic nature, this model is usually used for stateless resources.

All weights are in the range [1, 10000] with the default at 100. This allows symmetric multiplicative biases in both directions at fine enough granularity while staying in the intuitive range.

As long as the weight is in range, all configuration combinations are valid and there is no reason to reject configuration changes or process migrations.

“cpu.weight” proportionally distributes CPU cycles to active children and is an example of this type.

Limits¶

A child can only consume up to the configured amount of the resource. Limits can be over-committed - the sum of the limits of children can exceed the amount of resource available to the parent.

Limits are in the range [0, max] and defaults to “max”, which is noop.

As limits can be over-committed, all configuration combinations are valid and there is no reason to reject configuration changes or process migrations.

“io.max” limits the maximum BPS and/or IOPS that a cgroup can consume on an IO device and is an example of this type.

Protections¶

A cgroup is protected up to the configured amount of the resource as long as the usages of all its ancestors are under their protected levels. Protections can be hard guarantees or best effort soft boundaries. Protections can also be over-committed in which case only up to the amount available to the parent is protected among children.

Protections are in the range [0, max] and defaults to 0, which is noop.

As protections can be over-committed, all configuration combinations are valid and there is no reason to reject configuration changes or process migrations.

“memory.low” implements best-effort memory protection and is an example of this type.

Allocations¶

A cgroup is exclusively allocated a certain amount of a finite resource. Allocations can’t be over-committed - the sum of the allocations of children can not exceed the amount of resource available to the parent.

Allocations are in the range [0, max] and defaults to 0, which is no resource.

As allocations can’t be over-committed, some configuration combinations are invalid and should be rejected. Also, if the resource is mandatory for execution of processes, process migrations may be rejected.

“cpu.rt.max” hard-allocates realtime slices and is an example of this type.

Interface Files¶

Format¶

All interface files should be in one of the following formats whenever possible:

New-line separated values
(when only one value can be written at once)

      VAL0\n
      VAL1\n
      ...

Space separated values
(when read-only or multiple values can be written at once)

      VAL0 VAL1 ...\n

Flat keyed

      KEY0 VAL0\n
      KEY1 VAL1\n
      ...

Nested keyed

      KEY0 SUB_KEY0=VAL00 SUB_KEY1=VAL01...
      KEY1 SUB_KEY0=VAL10 SUB_KEY1=VAL11...
      ...

For a writable file, the format for writing should generally match reading; however, controllers may allow omitting later fields or implement restricted shortcuts for most common use cases.

For both flat and nested keyed files, only the values for a single key can be written at a time. For nested keyed files, the sub key pairs may be specified in any order and not all pairs have to be specified.

Conventions¶

Settings for a single feature should be contained in a single file.
The root cgroup should be exempt from resource control and thus shouldn’t have resource control interface files.
The default time unit is microseconds. If a different unit is ever used, an explicit unit suffix must be present.
A parts-per quantity should use a percentage decimal with at least two digit fractional part - e.g. 13.40.
If a controller implements weight based resource distribution, its interface file should be named “weight” and have the range [1, 10000] with 100 as the default. The values are chosen to allow enough and symmetric bias in both directions while keeping it intuitive (the default is 100%).
If a controller implements an absolute resource guarantee and/or limit, the interface files should be named “min” and “max” respectively. If a controller implements best effort resource guarantee and/or limit, the interface files should be named “low” and “high” respectively.

In the above four control files, the special token “max” should be used to represent upward infinity for both reading and writing.
If a setting has a configurable default value and keyed specific overrides, the default entry should be keyed with “default” and appear as the first entry in the file.

The default value can be updated by writing either “default $VAL” or “$VAL”.

When writing to update a specific override, “default” can be used as the value to indicate removal of the override. Override entries with “default” as the value must not appear when read.

For example, a setting which is keyed by major:minor device numbers with integer values may look like the following:
```
# cat cgroup-example-interface-file
default 150
8:0 300
```
The default value can be updated by:
```
# echo 125 > cgroup-example-interface-file
```
or:
```
# echo "default 125" > cgroup-example-interface-file
```
An override can be set by:
```
# echo "8:16 170" > cgroup-example-interface-file
```
and cleared by:
```
# echo "8:0 default" > cgroup-example-interface-file
# cat cgroup-example-interface-file
default 125
8:16 170
```
For events which are not very high frequency, an interface file “events” should be created which lists event key value pairs. Whenever a notifiable event happens, file modified event should be generated on the file.

Core Interface Files¶

All cgroup core files are prefixed with “cgroup.”

cgroup.type
A read-write single value file which exists on non-root cgroups.

When read, it indicates the current type of the cgroup, which can be one of the following values.

“domain” : A normal valid domain cgroup.

“domain threaded” : A threaded domain cgroup which is serving as the root of a threaded subtree.

“domain invalid” : A cgroup which is in an invalid state. It can’t be populated or have controllers enabled. It may be allowed to become a threaded cgroup.

“threaded” : A threaded cgroup which is a member of a threaded subtree.

A cgroup can be turned into a threaded cgroup by writing “threaded” to this file.

cgroup.procs
A read-write new-line separated values file which exists on all cgroups.

When read, it lists the PIDs of all processes which belong to the cgroup one-per-line. The PIDs are not ordered and the same PID may show up more than once if the process got moved to another cgroup and then back or the PID got recycled while reading.

A PID can be written to migrate the process associated with the PID to the cgroup. The writer should match all of the following conditions.

It must have write access to the “cgroup.procs” file.

It must have write access to the “cgroup.procs” file of the common ancestor of the source and destination cgroups.

When delegating a sub-hierarchy, write access to this file should be granted along with the containing directory.

In a threaded cgroup, reading this file fails with EOPNOTSUPP as all the processes belong to the thread root. Writing is supported and moves every thread of the process to the cgroup.

cgroup.threads
A read-write new-line separated values file which exists on all cgroups.

When read, it lists the TIDs of all threads which belong to the cgroup one-per-line. The TIDs are not ordered and the same TID may show up more than once if the thread got moved to another cgroup and then back or the TID got recycled while reading.

A TID can be written to migrate the thread associated with the TID to the cgroup. The writer should match all of the following conditions.

It must have write access to the “cgroup.threads” file.

The cgroup that the thread is currently in must be in the same resource domain as the destination cgroup.

It must have write access to the “cgroup.procs” file of the common ancestor of the source and destination cgroups.

When delegating a sub-hierarchy, write access to this file should be granted along with the containing directory.

cgroup.controllers
A read-only space separated values file which exists on all cgroups.

It shows space separated list of all controllers available to the cgroup. The controllers are not ordered.

cgroup.subtree_control
A read-write space separated values file which exists on all cgroups. Starts out empty.

When read, it shows space separated list of the controllers which are enabled to control resource distribution from the cgroup to its children.

Space separated list of controllers prefixed with ‘+’ or ‘-’ can be written to enable or disable controllers. A controller name prefixed with ‘+’ enables the controller and ‘-’ disables. If a controller appears more than once on the list, the last one is effective. When multiple enable and disable operations are specified, either all succeed or all fail.

cgroup.events
A read-only flat-keyed file which exists on non-root cgroups. The following entries are defined. Unless specified otherwise, a value change in this file generates a file modified event.

populated
1 if the cgroup or its descendants contains any live processes; otherwise, 0.

frozen
1 if the cgroup is frozen; otherwise, 0.

cgroup.max.descendants
A read-write single value files. The default is “max”.

Maximum allowed number of descent cgroups. If the actual number of descendants is equal or larger, an attempt to create a new cgroup in the hierarchy will fail.

cgroup.max.depth
A read-write single value files. The default is “max”.

Maximum allowed descent depth below the current cgroup. If the actual descent depth is equal or larger, an attempt to create a new child cgroup will fail.

cgroup.stat
A read-only flat-keyed file with the following entries:

nr_descendants
Total number of visible descendant cgroups.

nr_dying_descendants
Total number of dying descendant cgroups. A cgroup becomes dying after being deleted by a user. The cgroup will remain in dying state for some time undefined time (which can depend on system load) before being completely destroyed.

A process can’t enter a dying cgroup under any circumstances, a dying cgroup can’t revive.

A dying cgroup can consume system resources not exceeding limits, which were active at the moment of cgroup deletion.

nr_subsys_<cgroup_subsys>
Total number of live cgroup subsystems (e.g memory cgroup) at and beneath the current cgroup.

nr_dying_subsys_<cgroup_subsys>
Total number of dying cgroup subsystems (e.g. memory cgroup) at and beneath the current cgroup.

cgroup.freeze
A read-write single value file which exists on non-root cgroups. Allowed values are “0” and “1”. The default is “0”.

Writing “1” to the file causes freezing of the cgroup and all descendant cgroups. This means that all belonging processes will be stopped and will not run until the cgroup will be explicitly unfrozen. Freezing of the cgroup may take some time; when this action is completed, the “frozen” value in the cgroup.events control file will be updated to “1” and the corresponding notification will be issued.

A cgroup can be frozen either by its own settings, or by settings of any ancestor cgroups. If any of ancestor cgroups is frozen, the cgroup will remain frozen.

Processes in the frozen cgroup can be killed by a fatal signal. They also can enter and leave a frozen cgroup: either by an explicit move by a user, or if freezing of the cgroup races with fork(). If a process is moved to a frozen cgroup, it stops. If a process is moved out of a frozen cgroup, it becomes running.

Frozen status of a cgroup doesn’t affect any cgroup tree operations: it’s possible to delete a frozen (and empty) cgroup, as well as create new sub-cgroups.

cgroup.kill
A write-only single value file which exists in non-root cgroups. The only allowed value is “1”.

Writing “1” to the file causes the cgroup and all descendant cgroups to be killed. This means that all processes located in the affected cgroup tree will be killed via SIGKILL.

Killing a cgroup tree will deal with concurrent forks appropriately and is protected against migrations.

In a threaded cgroup, writing this file fails with EOPNOTSUPP as killing cgroups is a process directed operation, i.e. it affects the whole thread-group.

cgroup.pressure
A read-write single value file that allowed values are “0” and “1”. The default is “1”.

Writing “0” to the file will disable the cgroup PSI accounting. Writing “1” to the file will re-enable the cgroup PSI accounting.

This control attribute is not hierarchical, so disable or enable PSI accounting in a cgroup does not affect PSI accounting in descendants and doesn’t need pass enablement via ancestors from root.

The reason this control attribute exists is that PSI accounts stalls for each cgroup separately and aggregates it at each level of the hierarchy. This may cause non-negligible overhead for some workloads when under deep level of the hierarchy, in which case this control attribute can be used to disable PSI accounting in the non-leaf cgroups.

irq.pressure
A read-write nested-keyed file.

Shows pressure stall information for IRQ/SOFTIRQ. See Documentation/accounting/psi.rst for details.

Controllers¶

CPU¶

The “cpu” controllers regulates distribution of CPU cycles. This controller implements weight and absolute bandwidth limit models for normal scheduling policy and absolute bandwidth allocation model for realtime scheduling policy.

In all the above models, cycles distribution is defined only on a temporal base and it does not account for the frequency at which tasks are executed. The (optional) utilization clamping support allows to hint the schedutil cpufreq governor about the minimum desired frequency which should always be provided by a CPU, as well as the maximum desired frequency, which should not be exceeded by a CPU.

WARNING: cgroup2 doesn’t yet support control of realtime processes. For a kernel built with the CONFIG_RT_GROUP_SCHED option enabled for group scheduling of realtime processes, the cpu controller can only be enabled when all RT processes are in the root cgroup. This limitation does not apply if CONFIG_RT_GROUP_SCHED is disabled. Be aware that system management software may already have placed RT processes into nonroot cgroups during the system boot process, and these processes may need to be moved to the root cgroup before the cpu controller can be enabled with a CONFIG_RT_GROUP_SCHED enabled kernel.

CPU Interface Files¶

All time durations are in microseconds.

cpu.stat
A read-only flat-keyed file. This file exists whether the controller is enabled or not.

It always reports the following three stats:

usage_usec

user_usec

system_usec

and the following five when the controller is enabled:

nr_periods

nr_throttled

throttled_usec

nr_bursts

burst_usec

cpu.weight
A read-write single value file which exists on non-root cgroups. The default is “100”.

For non idle groups (cpu.idle = 0), the weight is in the range [1, 10000].

If the cgroup has been configured to be SCHED_IDLE (cpu.idle = 1), then the weight will show as a 0.

cpu.weight.nice
A read-write single value file which exists on non-root cgroups. The default is “0”.

The nice value is in the range [-20, 19].

This interface file is an alternative interface for “cpu.weight” and allows reading and setting weight using the same values used by nice(2). Because the range is smaller and granularity is coarser for the nice values, the read value is the closest approximation of the current weight.

cpu.max
A read-write two value file which exists on non-root cgroups. The default is “max 100000”.

The maximum bandwidth limit. It’s in the following format:
$MAX $PERIOD
which indicates that the group may consume up to $MAX in each $PERIOD duration. “max” for $MAX indicates no limit. If only one number is written, $MAX is updated.
cpu.max.burst
A read-write single value file which exists on non-root cgroups. The default is “0”.

The burst in the range [0, $MAX].

cpu.pressure
A read-write nested-keyed file.

Shows pressure stall information for CPU. See Documentation/accounting/psi.rst for details.

cpu.uclamp.min
A read-write single value file which exists on non-root cgroups. The default is “0”, i.e. no utilization boosting.

The requested minimum utilization (protection) as a percentage rational number, e.g. 12.34 for 12.34%.

This interface allows reading and setting minimum utilization clamp values similar to the sched_setattr(2). This minimum utilization value is used to clamp the task specific minimum utilization clamp.

The requested minimum utilization (protection) is always capped by the current value for the maximum utilization (limit), i.e. cpu.uclamp.max.

cpu.uclamp.max
A read-write single value file which exists on non-root cgroups. The default is “max”. i.e. no utilization capping

The requested maximum utilization (limit) as a percentage rational number, e.g. 98.76 for 98.76%.

This interface allows reading and setting maximum utilization clamp values similar to the sched_setattr(2). This maximum utilization value is used to clamp the task specific maximum utilization clamp.

cpu.idle
A read-write single value file which exists on non-root cgroups. The default is 0.

This is the cgroup analog of the per-task SCHED_IDLE sched policy. Setting this value to a 1 will make the scheduling policy of the cgroup SCHED_IDLE. The threads inside the cgroup will retain their own relative priorities, but the cgroup itself will be treated as very low priority relative to its peers.

Memory¶

The “memory” controller regulates distribution of memory. Memory is stateful and implements both limit and protection models. Due to the intertwining between memory usage and reclaim pressure and the stateful nature of memory, the distribution model is relatively complex.

While not completely water-tight, all major memory usages by a given cgroup are tracked so that the total memory consumption can be accounted and controlled to a reasonable extent. Currently, the following types of memory usages are tracked.

Userland memory - page cache and anonymous memory.
Kernel data structures such as dentries and inodes.
TCP socket buffers.

The above list may expand in the future for better coverage.

Memory Interface Files¶

All memory amounts are in bytes. If a value which is not aligned to PAGE_SIZE is written, the value may be rounded up to the closest PAGE_SIZE multiple when read back.

memory.current
A read-only single value file which exists on non-root cgroups.

The total amount of memory currently being used by the cgroup and its descendants.

memory.min
A read-write single value file which exists on non-root cgroups. The default is “0”.

Hard memory protection. If the memory usage of a cgroup is within its effective min boundary, the cgroup’s memory won’t be reclaimed under any conditions. If there is no unprotected reclaimable memory available, OOM killer is invoked. Above the effective min boundary (or effective low boundary if it is higher), pages are reclaimed proportionally to the overage, reducing reclaim pressure for smaller overages.

Effective min boundary is limited by memory.min values of all ancestor cgroups. If there is memory.min overcommitment (child cgroup or cgroups are requiring more protected memory than parent will allow), then each child cgroup will get the part of parent’s protection proportional to its actual memory usage below memory.min.

Putting more memory than generally available under this protection is discouraged and may lead to constant OOMs.

If a memory cgroup is not populated with processes, its memory.min is ignored.

memory.low
A read-write single value file which exists on non-root cgroups. The default is “0”.

Best-effort memory protection. If the memory usage of a cgroup is within its effective low boundary, the cgroup’s memory won’t be reclaimed unless there is no reclaimable memory available in unprotected cgroups. Above the effective low boundary (or effective min boundary if it is higher), pages are reclaimed proportionally to the overage, reducing reclaim pressure for smaller overages.

Effective low boundary is limited by memory.low values of all ancestor cgroups. If there is memory.low overcommitment (child cgroup or cgroups are requiring more protected memory than parent will allow), then each child cgroup will get the part of parent’s protection proportional to its actual memory usage below memory.low.

Putting more memory than generally available under this protection is discouraged.

memory.high
A read-write single value file which exists on non-root cgroups. The default is “max”.

Memory usage throttle limit. If a cgroup’s usage goes over the high boundary, the processes of the cgroup are throttled and put under heavy reclaim pressure.

Going over the high limit never invokes the OOM killer and under extreme conditions the limit may be breached. The high limit should be used in scenarios where an external process monitors the limited cgroup to alleviate heavy reclaim pressure.

memory.max
A read-write single value file which exists on non-root cgroups. The default is “max”.

Memory usage hard limit. This is the main mechanism to limit memory usage of a cgroup. If a cgroup’s memory usage reaches this limit and can’t be reduced, the OOM killer is invoked in the cgroup. Under certain circumstances, the usage may go over the limit temporarily.

In default configuration regular 0-order allocations always succeed unless OOM killer chooses current task as a victim.

Some kinds of allocations don’t invoke the OOM killer. Caller could retry them differently, return into userspace as -ENOMEM or silently ignore in cases like disk readahead.

memory.reclaim
A write-only nested-keyed file which exists for all cgroups.

This is a simple interface to trigger memory reclaim in the target cgroup.

Example:
echo "1G" > memory.reclaim
Please note that the kernel can over or under reclaim from the target cgroup. If less bytes are reclaimed than the specified amount, -EAGAIN is returned.

Please note that the proactive reclaim (triggered by this interface) is not meant to indicate memory pressure on the memory cgroup. Therefore socket memory balancing triggered by the memory reclaim normally is not exercised in this case. This means that the networking layer will not adapt based on reclaim induced by memory.reclaim.

The following nested keys are defined.

swappiness

Swappiness value to reclaim with

Specifying a swappiness value instructs the kernel to perform the reclaim with that swappiness value. Note that this has the same semantics as vm.swappiness applied to memcg reclaim with all the existing limitations and potential future extensions.
memory.peak
A read-write single value file which exists on non-root cgroups.

The max memory usage recorded for the cgroup and its descendants since either the creation of the cgroup or the most recent reset for that FD.

A write of any non-empty string to this file resets it to the current memory usage for subsequent reads through the same file descriptor.

memory.oom.group
A read-write single value file which exists on non-root cgroups. The default value is “0”.

Determines whether the cgroup should be treated as an indivisible workload by the OOM killer. If set, all tasks belonging to the cgroup or to its descendants (if the memory cgroup is not a leaf cgroup) are killed together or not at all. This can be used to avoid partial kills to guarantee workload integrity.

Tasks with the OOM protection (oom_score_adj set to -1000) are treated as an exception and are never killed.

If the OOM killer is invoked in a cgroup, it’s not going to kill any tasks outside of this cgroup, regardless memory.oom.group values of ancestor cgroups.

memory.events
A read-only flat-keyed file which exists on non-root cgroups. The following entries are defined. Unless specified otherwise, a value change in this file generates a file modified event.

Note that all fields in this file are hierarchical and the file modified event can be generated due to an event down the hierarchy. For the local events at the cgroup level see memory.events.local.

low
The number of times the cgroup is reclaimed due to high memory pressure even though its usage is under the low boundary. This usually indicates that the low boundary is over-committed.

high
The number of times processes of the cgroup are throttled and routed to perform direct memory reclaim because the high memory boundary was exceeded. For a cgroup whose memory usage is capped by the high limit rather than global memory pressure, this event’s occurrences are expected.

max
The number of times the cgroup’s memory usage was about to go over the max boundary. If direct reclaim fails to bring it down, the cgroup goes to OOM state.

oom
The number of time the cgroup’s memory usage was reached the limit and allocation was about to fail.

This event is not raised if the OOM killer is not considered as an option, e.g. for failed high-order allocations or if caller asked to not retry attempts.

oom_kill
The number of processes belonging to this cgroup killed by any kind of OOM killer.

oom_group_kill
The number of times a group OOM has occurred.

memory.events.local
Similar to memory.events but the fields in the file are local to the cgroup i.e. not hierarchical. The file modified event generated on this file reflects only the local events.

memory.stat
A read-only flat-keyed file which exists on non-root cgroups.

This breaks down the cgroup’s memory footprint into different types of memory, type-specific details, and other information on the state and past events of the memory management system.

All memory amounts are in bytes.

The entries are ordered to be human readable, and new entries can show up in the middle. Don’t rely on items remaining in a fixed position; use the keys to look up specific values!

If the entry has no per-node counter (or not show in the memory.numa_stat). We use ‘npn’ (non-per-node) as the tag to indicate that it will not show in the memory.numa_stat.

anon
Amount of memory used in anonymous mappings such as brk(), sbrk(), and mmap(MAP_ANONYMOUS)

file
Amount of memory used to cache filesystem data, including tmpfs and shared memory.

kernel (npn)
Amount of total kernel memory, including (kernel_stack, pagetables, percpu, vmalloc, slab) in addition to other kernel memory use cases.

kernel_stack
Amount of memory allocated to kernel stacks.

pagetables
Amount of memory allocated for page tables.

sec_pagetables
Amount of memory allocated for secondary page tables, this currently includes KVM mmu allocations on x86 and arm64 and IOMMU page tables.

percpu (npn)
Amount of memory used for storing per-cpu kernel data structures.

sock (npn)
Amount of memory used in network transmission buffers

vmalloc (npn)
Amount of memory used for vmap backed memory.

shmem
Amount of cached filesystem data that is swap-backed, such as tmpfs, shm segments, shared anonymous mmap()s

zswap
Amount of memory consumed by the zswap compression backend.

zswapped
Amount of application memory swapped out to zswap.

file_mapped
Amount of cached filesystem data mapped with mmap()

file_dirty
Amount of cached filesystem data that was modified but not yet written back to disk

file_writeback
Amount of cached filesystem data that was modified and is currently being written back to disk

swapcached
Amount of swap cached in memory. The swapcache is accounted against both memory and swap usage.

anon_thp
Amount of memory used in anonymous mappings backed by transparent hugepages

file_thp
Amount of cached filesystem data backed by transparent hugepages

shmem_thp
Amount of shm, tmpfs, shared anonymous mmap()s backed by transparent hugepages

inactive_anon, active_anon, inactive_file, active_file, unevictable
Amount of memory, swap-backed and filesystem-backed, on the internal memory management lists used by the page reclaim algorithm.

As these represent internal list state (eg. shmem pages are on anon memory management lists), inactive_foo + active_foo may not be equal to the value for the foo counter, since the foo counter is type-based, not list-based.

slab_reclaimable
Part of “slab” that might be reclaimed, such as dentries and inodes.

slab_unreclaimable
Part of “slab” that cannot be reclaimed on memory pressure.

slab (npn)
Amount of memory used for storing in-kernel data structures.

workingset_refault_anon
Number of refaults of previously evicted anonymous pages.

workingset_refault_file
Number of refaults of previously evicted file pages.

workingset_activate_anon
Number of refaulted anonymous pages that were immediately activated.

workingset_activate_file
Number of refaulted file pages that were immediately activated.

workingset_restore_anon
Number of restored anonymous pages which have been detected as an active workingset before they got reclaimed.

workingset_restore_file
Number of restored file pages which have been detected as an active workingset before they got reclaimed.

workingset_nodereclaim
Number of times a shadow node has been reclaimed

pgscan (npn)
Amount of scanned pages (in an inactive LRU list)

pgsteal (npn)
Amount of reclaimed pages

pgscan_kswapd (npn)
Amount of scanned pages by kswapd (in an inactive LRU list)

pgscan_direct (npn)
Amount of scanned pages directly (in an inactive LRU list)

pgscan_khugepaged (npn)
Amount of scanned pages by khugepaged (in an inactive LRU list)

pgsteal_kswapd (npn)
Amount of reclaimed pages by kswapd

pgsteal_direct (npn)
Amount of reclaimed pages directly

pgsteal_khugepaged (npn)
Amount of reclaimed pages by khugepaged

pgfault (npn)
Total number of page faults incurred

pgmajfault (npn)
Number of major page faults incurred

pgrefill (npn)
Amount of scanned pages (in an active LRU list)

pgactivate (npn)
Amount of pages moved to the active LRU list

pgdeactivate (npn)
Amount of pages moved to the inactive LRU list

pglazyfree (npn)
Amount of pages postponed to be freed under memory pressure

pglazyfreed (npn)
Amount of reclaimed lazyfree pages

swpin_zero
Number of pages swapped into memory and filled with zero, where I/O was optimized out because the page content was detected to be zero during swapout.

swpout_zero
Number of zero-filled pages swapped out with I/O skipped due to the content being detected as zero.

zswpin
Number of pages moved in to memory from zswap.

zswpout
Number of pages moved out of memory to zswap.

zswpwb
Number of pages written from zswap to swap.

thp_fault_alloc (npn)
Number of transparent hugepages which were allocated to satisfy a page fault. This counter is not present when CONFIG_TRANSPARENT_HUGEPAGE is not set.

thp_collapse_alloc (npn)
Number of transparent hugepages which were allocated to allow collapsing an existing range of pages. This counter is not present when CONFIG_TRANSPARENT_HUGEPAGE is not set.

thp_swpout (npn)
Number of transparent hugepages which are swapout in one piece without splitting.

thp_swpout_fallback (npn)
Number of transparent hugepages which were split before swapout. Usually because failed to allocate some continuous swap space for the huge page.

numa_pages_migrated (npn)
Number of pages migrated by NUMA balancing.

numa_pte_updates (npn)
Number of pages whose page table entries are modified by NUMA balancing to produce NUMA hinting faults on access.

numa_hint_faults (npn)
Number of NUMA hinting faults.

pgdemote_kswapd
Number of pages demoted by kswapd.

pgdemote_direct
Number of pages demoted directly.

pgdemote_khugepaged
Number of pages demoted by khugepaged.

hugetlb
Amount of memory used by hugetlb pages. This metric only shows up if hugetlb usage is accounted for in memory.current (i.e. cgroup is mounted with the memory_hugetlb_accounting option).

memory.numa_stat
A read-only nested-keyed file which exists on non-root cgroups.

This breaks down the cgroup’s memory footprint into different types of memory, type-specific details, and other information per node on the state of the memory management system.

This is useful for providing visibility into the NUMA locality information within an memcg since the pages are allowed to be allocated from any physical node. One of the use case is evaluating application performance by combining this information with the application’s CPU allocation.

All memory amounts are in bytes.

The output format of memory.numa_stat is:
type N0=<bytes in node 0> N1=<bytes in node 1> ...
The entries are ordered to be human readable, and new entries can show up in the middle. Don’t rely on items remaining in a fixed position; use the keys to look up specific values!

The entries can refer to the memory.stat.
memory.swap.current
A read-only single value file which exists on non-root cgroups.

The total amount of swap currently being used by the cgroup and its descendants.

memory.swap.high
A read-write single value file which exists on non-root cgroups. The default is “max”.

Swap usage throttle limit. If a cgroup’s swap usage exceeds this limit, all its further allocations will be throttled to allow userspace to implement custom out-of-memory procedures.

This limit marks a point of no return for the cgroup. It is NOT designed to manage the amount of swapping a workload does during regular operation. Compare to memory.swap.max, which prohibits swapping past a set amount, but lets the cgroup continue unimpeded as long as other memory can be reclaimed.

Healthy workloads are not expected to reach this limit.

memory.swap.peak
A read-write single value file which exists on non-root cgroups.

The max swap usage recorded for the cgroup and its descendants since the creation of the cgroup or the most recent reset for that FD.

A write of any non-empty string to this file resets it to the current memory usage for subsequent reads through the same file descriptor.

memory.swap.max
A read-write single value file which exists on non-root cgroups. The default is “max”.

Swap usage hard limit. If a cgroup’s swap usage reaches this limit, anonymous memory of the cgroup will not be swapped out.

memory.swap.events
A read-only flat-keyed file which exists on non-root cgroups. The following entries are defined. Unless specified otherwise, a value change in this file generates a file modified event.

high
The number of times the cgroup’s swap usage was over the high threshold.

max
The number of times the cgroup’s swap usage was about to go over the max boundary and swap allocation failed.

fail
The number of times swap allocation failed either because of running out of swap system-wide or max limit.

When reduced under the current usage, the existing swap entries are reclaimed gradually and the swap usage may stay higher than the limit for an extended period of time. This reduces the impact on the workload and memory management.

memory.zswap.current
A read-only single value file which exists on non-root cgroups.

The total amount of memory consumed by the zswap compression backend.

memory.zswap.max
A read-write single value file which exists on non-root cgroups. The default is “max”.

Zswap usage hard limit. If a cgroup’s zswap pool reaches this limit, it will refuse to take any more stores before existing entries fault back in or are written out to disk.

memory.zswap.writeback
A read-write single value file. The default value is “1”. Note that this setting is hierarchical, i.e. the writeback would be implicitly disabled for child cgroups if the upper hierarchy does so.

When this is set to 0, all swapping attempts to swapping devices are disabled. This included both zswap writebacks, and swapping due to zswap store failures. If the zswap store failures are recurring (for e.g if the pages are incompressible), users can observe reclaim inefficiency after disabling writeback (because the same pages might be rejected again and again).

Note that this is subtly different from setting memory.swap.max to 0, as it still allows for pages to be written to the zswap pool. This setting has no effect if zswap is disabled, and swapping is allowed unless memory.swap.max is set to 0.

memory.pressure
A read-only nested-keyed file.

Shows pressure stall information for memory. See Documentation/accounting/psi.rst for details.

Usage Guidelines¶

“memory.high” is the main mechanism to control memory usage. Over-committing on high limit (sum of high limits > available memory) and letting global memory pressure to distribute memory according to usage is a viable strategy.

Because breach of the high limit doesn’t trigger the OOM killer but throttles the offending cgroup, a management agent has ample opportunities to monitor and take appropriate actions such as granting more memory or terminating the workload.

Determining whether a cgroup has enough memory is not trivial as memory usage doesn’t indicate whether the workload can benefit from more memory. For example, a workload which writes data received from network to a file can use all available memory but can also operate as performant with a small amount of memory. A measure of memory pressure - how much the workload is being impacted due to lack of memory - is necessary to determine whether a workload needs more memory; unfortunately, memory pressure monitoring mechanism isn’t implemented yet.

Memory Ownership¶

A memory area is charged to the cgroup which instantiated it and stays charged to the cgroup until the area is released. Migrating a process to a different cgroup doesn’t move the memory usages that it instantiated while in the previous cgroup to the new cgroup.

A memory area may be used by processes belonging to different cgroups. To which cgroup the area will be charged is in-deterministic; however, over time, the memory area is likely to end up in a cgroup which has enough memory allowance to avoid high reclaim pressure.

If a cgroup sweeps a considerable amount of memory which is expected to be accessed repeatedly by other cgroups, it may make sense to use POSIX_FADV_DONTNEED to relinquish the ownership of memory areas belonging to the affected files to ensure correct memory ownership.

IO¶

The “io” controller regulates the distribution of IO resources. This controller implements both weight based and absolute bandwidth or IOPS limit distribution; however, weight based distribution is available only if cfq-iosched is in use and neither scheme is available for blk-mq devices.

IO Interface Files¶

io.stat
A read-only nested-keyed file.

Lines are keyed by $MAJ:$MIN device numbers and not ordered. The following nested keys are defined.

rbytes

Bytes read

wbytes

Bytes written

rios

Number of read IOs

wios

Number of write IOs

dbytes

Bytes discarded

dios

Number of discard IOs

An example read output follows:
8:16 rbytes=1459200 wbytes=314773504 rios=192 wios=353 dbytes=0 dios=0
8:0 rbytes=90430464 wbytes=299008000 rios=8950 wios=1252 dbytes=50331648 dios=3021
io.cost.qos
A read-write nested-keyed file which exists only on the root cgroup.

This file configures the Quality of Service of the IO cost model based controller (CONFIG_BLK_CGROUP_IOCOST) which currently implements “io.weight” proportional control. Lines are keyed by $MAJ:$MIN device numbers and not ordered. The line for a given device is populated on the first write for the device on “io.cost.qos” or “io.cost.model”. The following nested keys are defined.

enable

Weight-based control enable

ctrl

“auto” or “user”

rpct

Read latency percentile [0, 100]

rlat

Read latency threshold

wpct

Write latency percentile [0, 100]

wlat

Write latency threshold

min

Minimum scaling percentage [1, 10000]

max

Maximum scaling percentage [1, 10000]

The controller is disabled by default and can be enabled by setting “enable” to 1. “rpct” and “wpct” parameters default to zero and the controller uses internal device saturation state to adjust the overall IO rate between “min” and “max”.

When a better control quality is needed, latency QoS parameters can be configured. For example:
8:16 enable=1 ctrl=auto rpct=95.00 rlat=75000 wpct=95.00 wlat=150000 min=50.00 max=150.0
shows that on sdb, the controller is enabled, will consider the device saturated if the 95th percentile of read completion latencies is above 75ms or write 150ms, and adjust the overall IO issue rate between 50% and 150% accordingly.

The lower the saturation point, the better the latency QoS at the cost of aggregate bandwidth. The narrower the allowed adjustment range between “min” and “max”, the more conformant to the cost model the IO behavior. Note that the IO issue base rate may be far off from 100% and setting “min” and “max” blindly can lead to a significant loss of device capacity or control quality. “min” and “max” are useful for regulating devices which show wide temporary behavior changes - e.g. a ssd which accepts writes at the line speed for a while and then completely stalls for multiple seconds.

When “ctrl” is “auto”, the parameters are controlled by the kernel and may change automatically. Setting “ctrl” to “user” or setting any of the percentile and latency parameters puts it into “user” mode and disables the automatic changes. The automatic mode can be restored by setting “ctrl” to “auto”.
io.cost.model
A read-write nested-keyed file which exists only on the root cgroup.

This file configures the cost model of the IO cost model based controller (CONFIG_BLK_CGROUP_IOCOST) which currently implements “io.weight” proportional control. Lines are keyed by $MAJ:$MIN device numbers and not ordered. The line for a given device is populated on the first write for the device on “io.cost.qos” or “io.cost.model”. The following nested keys are defined.

ctrl

“auto” or “user”

model

The cost model in use - “linear”

When “ctrl” is “auto”, the kernel may change all parameters dynamically. When “ctrl” is set to “user” or any other parameters are written to, “ctrl” become “user” and the automatic changes are disabled.

When “model” is “linear”, the following model parameters are defined.

[r|w]bps

The maximum sequential IO throughput

[r|w]seqiops

The maximum 4k sequential IOs per second

[r|w]randiops

The maximum 4k random IOs per second

From the above, the builtin linear model determines the base costs of a sequential and random IO and the cost coefficient for the IO size. While simple, this model can cover most common device classes acceptably.

The IO cost model isn’t expected to be accurate in absolute sense and is scaled to the device behavior dynamically.

If needed, tools/cgroup/iocost_coef_gen.py can be used to generate device-specific coefficients.

io.weight
A read-write flat-keyed file which exists on non-root cgroups. The default is “default 100”.

The first line is the default weight applied to devices without specific override. The rest are overrides keyed by $MAJ:$MIN device numbers and not ordered. The weights are in the range [1, 10000] and specifies the relative amount IO time the cgroup can use in relation to its siblings.

The default weight can be updated by writing either “default $WEIGHT” or simply “$WEIGHT”. Overrides can be set by writing “$MAJ:$MIN $WEIGHT” and unset by writing “$MAJ:$MIN default”.

An example read output follows:
default 100
8:16 200
8:0 50
io.max
A read-write nested-keyed file which exists on non-root cgroups.

BPS and IOPS based IO limit. Lines are keyed by $MAJ:$MIN device numbers and not ordered. The following nested keys are defined.

rbps

Max read bytes per second

wbps

Max write bytes per second

riops

Max read IO operations per second

wiops

Max write IO operations per second

When writing, any number of nested key-value pairs can be specified in any order. “max” can be specified as the value to remove a specific limit. If the same key is specified multiple times, the outcome is undefined.

BPS and IOPS are measured in each IO direction and IOs are delayed if limit is reached. Temporary bursts are allowed.

Setting read limit at 2M BPS and write at 120 IOPS for 8:16:
echo "8:16 rbps=2097152 wiops=120" > io.max
Reading returns the following:
8:16 rbps=2097152 wbps=max riops=max wiops=120
Write IOPS limit can be removed by writing the following:
echo "8:16 wiops=max" > io.max
Reading now returns the following:
8:16 rbps=2097152 wbps=max riops=max wiops=max
io.pressure
A read-only nested-keyed file.

Shows pressure stall information for IO. See Documentation/accounting/psi.rst for details.

Writeback¶

Page cache is dirtied through buffered writes and shared mmaps and written asynchronously to the backing filesystem by the writeback mechanism. Writeback sits between the memory and IO domains and regulates the proportion of dirty memory by balancing dirtying and write IOs.

The io controller, in conjunction with the memory controller, implements control of page cache writeback IOs. The memory controller defines the memory domain that dirty memory ratio is calculated and maintained for and the io controller defines the io domain which writes out dirty pages for the memory domain. Both system-wide and per-cgroup dirty memory states are examined and the more restrictive of the two is enforced.

cgroup writeback requires explicit support from the underlying filesystem. Currently, cgroup writeback is implemented on ext2, ext4, btrfs, f2fs, and xfs. On other filesystems, all writeback IOs are attributed to the root cgroup.

There are inherent differences in memory and writeback management which affects how cgroup ownership is tracked. Memory is tracked per page while writeback per inode. For the purpose of writeback, an inode is assigned to a cgroup and all IO requests to write dirty pages from the inode are attributed to that cgroup.

As cgroup ownership for memory is tracked per page, there can be pages which are associated with different cgroups than the one the inode is associated with. These are called foreign pages. The writeback constantly keeps track of foreign pages and, if a particular foreign cgroup becomes the majority over a certain period of time, switches the ownership of the inode to that cgroup.

While this model is enough for most use cases where a given inode is mostly dirtied by a single cgroup even when the main writing cgroup changes over time, use cases where multiple cgroups write to a single inode simultaneously are not supported well. In such circumstances, a significant portion of IOs are likely to be attributed incorrectly. As memory controller assigns page ownership on the first use and doesn’t update it until the page is released, even if writeback strictly follows page ownership, multiple cgroups dirtying overlapping areas wouldn’t work as expected. It’s recommended to avoid such usage patterns.

The sysctl knobs which affect writeback behavior are applied to cgroup writeback as follows.

vm.dirty_background_ratio, vm.dirty_ratio
These ratios apply the same to cgroup writeback with the amount of available memory capped by limits imposed by the memory controller and system-wide clean memory.

vm.dirty_background_bytes, vm.dirty_bytes
For cgroup writeback, this is calculated into ratio against total available memory and applied the same way as vm.dirty[_background]_ratio.

IO Latency¶

This is a cgroup v2 controller for IO workload protection. You provide a group with a latency target, and if the average latency exceeds that target the controller will throttle any peers that have a lower latency target than the protected workload.

The limits are only applied at the peer level in the hierarchy. This means that in the diagram below, only groups A, B, and C will influence each other, and groups D and F will influence each other. Group G will influence nobody:

          [root]
  /          |            \
  A          B            C
 /  \        |
D    F       G

So the ideal way to configure this is to set io.latency in groups A, B, and C. Generally you do not want to set a value lower than the latency your device supports. Experiment to find the value that works best for your workload. Start at higher than the expected latency for your device and watch the avg_lat value in io.stat for your workload group to get an idea of the latency you see during normal operation. Use the avg_lat value as a basis for your real setting, setting at 10-15% higher than the value in io.stat.

How IO Latency Throttling Works¶

io.latency is work conserving; so as long as everybody is meeting their latency target the controller doesn’t do anything. Once a group starts missing its target it begins throttling any peer group that has a higher target than itself. This throttling takes 2 forms:

Queue depth throttling. This is the number of outstanding IO’s a group is allowed to have. We will clamp down relatively quickly, starting at no limit and going all the way down to 1 IO at a time.
Artificial delay induction. There are certain types of IO that cannot be throttled without possibly adversely affecting higher priority groups. This includes swapping and metadata IO. These types of IO are allowed to occur normally, however they are “charged” to the originating group. If the originating group is being throttled you will see the use_delay and delay fields in io.stat increase. The delay value is how many microseconds that are being added to any process that runs in this group. Because this number can grow quite large if there is a lot of swapping or metadata IO occurring we limit the individual delay events to 1 second at a time.

Once the victimized group starts meeting its latency target again it will start unthrottling any peer groups that were throttled previously. If the victimized group simply stops doing IO the global counter will unthrottle appropriately.

IO Latency Interface Files¶

io.latency
This takes a similar format as the other controllers.

“MAJOR:MINOR target=<target time in microseconds>”

io.stat
If the controller is enabled you will see extra stats in io.stat in addition to the normal ones.

depth
This is the current queue depth for the group.

avg_lat
This is an exponential moving average with a decay rate of 1/exp bound by the sampling interval. The decay rate interval can be calculated by multiplying the win value in io.stat by the corresponding number of samples based on the win value.

win
The sampling window size in milliseconds. This is the minimum duration of time between evaluation events. Windows only elapse with IO activity. Idle periods extend the most recent window.

IO Priority¶

A single attribute controls the behavior of the I/O priority cgroup policy, namely the io.prio.class attribute. The following values are accepted for that attribute:

no-change
Do not modify the I/O priority class.

promote-to-rt
For requests that have a non-RT I/O priority class, change it into RT. Also change the priority level of these requests to 4. Do not modify the I/O priority of requests that have priority class RT.

restrict-to-be
For requests that do not have an I/O priority class or that have I/O priority class RT, change it into BE. Also change the priority level of these requests to 0. Do not modify the I/O priority class of requests that have priority class IDLE.

idle
Change the I/O priority class of all requests into IDLE, the lowest I/O priority class.

none-to-rt
Deprecated. Just an alias for promote-to-rt.

The following numerical values are associated with the I/O priority policies:

no-change	0
promote-to-rt	1
restrict-to-be	2
idle	3

The numerical value that corresponds to each I/O priority class is as follows:

IOPRIO_CLASS_NONE	0
IOPRIO_CLASS_RT (real-time)	1
IOPRIO_CLASS_BE (best effort)	2
IOPRIO_CLASS_IDLE	3

The algorithm to set the I/O priority class for a request is as follows:

If I/O priority class policy is promote-to-rt, change the request I/O priority class to IOPRIO_CLASS_RT and change the request I/O priority level to 4.
If I/O priority class policy is not promote-to-rt, translate the I/O priority class policy into a number, then change the request I/O priority class into the maximum of the I/O priority class policy number and the numerical I/O priority class.

PID¶

The process number controller is used to allow a cgroup to stop any new tasks from being fork()’d or clone()’d after a specified limit is reached.

The number of tasks in a cgroup can be exhausted in ways which other controllers cannot prevent, thus warranting its own controller. For example, a fork bomb is likely to exhaust the number of tasks before hitting memory restrictions.

Note that PIDs used in this controller refer to TIDs, process IDs as used by the kernel.

PID Interface Files¶

pids.max
A read-write single value file which exists on non-root cgroups. The default is “max”.

Hard limit of number of processes.

pids.current
A read-only single value file which exists on non-root cgroups.

The number of processes currently in the cgroup and its descendants.

pids.peak
A read-only single value file which exists on non-root cgroups.

The maximum value that the number of processes in the cgroup and its descendants has ever reached.

pids.events
A read-only flat-keyed file which exists on non-root cgroups. Unless specified otherwise, a value change in this file generates a file modified event. The following entries are defined.

max
The number of times the cgroup’s total number of processes hit the pids.max limit (see also pids_localevents).

pids.events.local
Similar to pids.events but the fields in the file are local to the cgroup i.e. not hierarchical. The file modified event generated on this file reflects only the local events.

Organisational operations are not blocked by cgroup policies, so it is possible to have pids.current > pids.max. This can be done by either setting the limit to be smaller than pids.current, or attaching enough processes to the cgroup such that pids.current is larger than pids.max. However, it is not possible to violate a cgroup PID policy through fork() or clone(). These will return -EAGAIN if the creation of a new process would cause a cgroup policy to be violated.

Cpuset¶

The “cpuset” controller provides a mechanism for constraining the CPU and memory node placement of tasks to only the resources specified in the cpuset interface files in a task’s current cgroup. This is especially valuable on large NUMA systems where placing jobs on properly sized subsets of the systems with careful processor and memory placement to reduce cross-node memory access and contention can improve overall system performance.

The “cpuset” controller is hierarchical. That means the controller cannot use CPUs or memory nodes not allowed in its parent.

Cpuset Interface Files¶

cpuset.cpus
A read-write multiple values file which exists on non-root cpuset-enabled cgroups.

It lists the requested CPUs to be used by tasks within this cgroup. The actual list of CPUs to be granted, however, is subjected to constraints imposed by its parent and can differ from the requested CPUs.

The CPU numbers are comma-separated numbers or ranges. For example:
# cat cpuset.cpus
0-4,6,8-10
An empty value indicates that the cgroup is using the same setting as the nearest cgroup ancestor with a non-empty “cpuset.cpus” or all the available CPUs if none is found.

The value of “cpuset.cpus” stays constant until the next update and won’t be affected by any CPU hotplug events.
cpuset.cpus.effective
A read-only multiple values file which exists on all cpuset-enabled cgroups.

It lists the onlined CPUs that are actually granted to this cgroup by its parent. These CPUs are allowed to be used by tasks within the current cgroup.

If “cpuset.cpus” is empty, the “cpuset.cpus.effective” file shows all the CPUs from the parent cgroup that can be available to be used by this cgroup. Otherwise, it should be a subset of “cpuset.cpus” unless none of the CPUs listed in “cpuset.cpus” can be granted. In this case, it will be treated just like an empty “cpuset.cpus”.

Its value will be affected by CPU hotplug events.

cpuset.mems
A read-write multiple values file which exists on non-root cpuset-enabled cgroups.

It lists the requested memory nodes to be used by tasks within this cgroup. The actual list of memory nodes granted, however, is subjected to constraints imposed by its parent and can differ from the requested memory nodes.

The memory node numbers are comma-separated numbers or ranges. For example:
# cat cpuset.mems
0-1,3
An empty value indicates that the cgroup is using the same setting as the nearest cgroup ancestor with a non-empty “cpuset.mems” or all the available memory nodes if none is found.

The value of “cpuset.mems” stays constant until the next update and won’t be affected by any memory nodes hotplug events.

Setting a non-empty value to “cpuset.mems” causes memory of tasks within the cgroup to be migrated to the designated nodes if they are currently using memory outside of the designated nodes.

There is a cost for this memory migration. The migration may not be complete and some memory pages may be left behind. So it is recommended that “cpuset.mems” should be set properly before spawning new tasks into the cpuset. Even if there is a need to change “cpuset.mems” with active tasks, it shouldn’t be done frequently.
cpuset.mems.effective
A read-only multiple values file which exists on all cpuset-enabled cgroups.

It lists the onlined memory nodes that are actually granted to this cgroup by its parent. These memory nodes are allowed to be used by tasks within the current cgroup.

If “cpuset.mems” is empty, it shows all the memory nodes from the parent cgroup that will be available to be used by this cgroup. Otherwise, it should be a subset of “cpuset.mems” unless none of the memory nodes listed in “cpuset.mems” can be granted. In this case, it will be treated just like an empty “cpuset.mems”.

Its value will be affected by memory nodes hotplug events.

cpuset.cpus.exclusive
A read-write multiple values file which exists on non-root cpuset-enabled cgroups.

It lists all the exclusive CPUs that are allowed to be used to create a new cpuset partition. Its value is not used unless the cgroup becomes a valid partition root. See the “cpuset.cpus.partition” section below for a description of what a cpuset partition is.

When the cgroup becomes a partition root, the actual exclusive CPUs that are allocated to that partition are listed in “cpuset.cpus.exclusive.effective” which may be different from “cpuset.cpus.exclusive”. If “cpuset.cpus.exclusive” has previously been set, “cpuset.cpus.exclusive.effective” is always a subset of it.

Users can manually set it to a value that is different from “cpuset.cpus”. One constraint in setting it is that the list of CPUs must be exclusive with respect to “cpuset.cpus.exclusive” of its sibling. If “cpuset.cpus.exclusive” of a sibling cgroup isn’t set, its “cpuset.cpus” value, if set, cannot be a subset of it to leave at least one CPU available when the exclusive CPUs are taken away.

For a parent cgroup, any one of its exclusive CPUs can only be distributed to at most one of its child cgroups. Having an exclusive CPU appearing in two or more of its child cgroups is not allowed (the exclusivity rule). A value that violates the exclusivity rule will be rejected with a write error.

The root cgroup is a partition root and all its available CPUs are in its exclusive CPU set.

cpuset.cpus.exclusive.effective
A read-only multiple values file which exists on all non-root cpuset-enabled cgroups.

This file shows the effective set of exclusive CPUs that can be used to create a partition root. The content of this file will always be a subset of its parent’s “cpuset.cpus.exclusive.effective” if its parent is not the root cgroup. It will also be a subset of “cpuset.cpus.exclusive” if it is set. If “cpuset.cpus.exclusive” is not set, it is treated to have an implicit value of “cpuset.cpus” in the formation of local partition.

cpuset.cpus.isolated
A read-only and root cgroup only multiple values file.

This file shows the set of all isolated CPUs used in existing isolated partitions. It will be empty if no isolated partition is created.

cpuset.cpus.partition
A read-write single value file which exists on non-root cpuset-enabled cgroups. This flag is owned by the parent cgroup and is not delegatable.

It accepts only the following input values when written to.

“member”

Non-root member of a partition

“root”

Partition root

“isolated”

Partition root without load balancing

A cpuset partition is a collection of cpuset-enabled cgroups with a partition root at the top of the hierarchy and its descendants except those that are separate partition roots themselves and their descendants. A partition has exclusive access to the set of exclusive CPUs allocated to it. Other cgroups outside of that partition cannot use any CPUs in that set.

There are two types of partitions - local and remote. A local partition is one whose parent cgroup is also a valid partition root. A remote partition is one whose parent cgroup is not a valid partition root itself. Writing to “cpuset.cpus.exclusive” is optional for the creation of a local partition as its “cpuset.cpus.exclusive” file will assume an implicit value that is the same as “cpuset.cpus” if it is not set. Writing the proper “cpuset.cpus.exclusive” values down the cgroup hierarchy before the target partition root is mandatory for the creation of a remote partition.

Currently, a remote partition cannot be created under a local partition. All the ancestors of a remote partition root except the root cgroup cannot be a partition root.

The root cgroup is always a partition root and its state cannot be changed. All other non-root cgroups start out as “member”.

When set to “root”, the current cgroup is the root of a new partition or scheduling domain. The set of exclusive CPUs is determined by the value of its “cpuset.cpus.exclusive.effective”.

When set to “isolated”, the CPUs in that partition will be in an isolated state without any load balancing from the scheduler and excluded from the unbound workqueues. Tasks placed in such a partition with multiple CPUs should be carefully distributed and bound to each of the individual CPUs for optimal performance.

A partition root (“root” or “isolated”) can be in one of the two possible states - valid or invalid. An invalid partition root is in a degraded state where some state information may be retained, but behaves more like a “member”.

All possible state transitions among “member”, “root” and “isolated” are allowed.

On read, the “cpuset.cpus.partition” file can show the following values.

“member”

Non-root member of a partition

“root”

Partition root

“isolated”

Partition root without load balancing

“root invalid (<reason>)”

Invalid partition root

“isolated invalid (<reason>)”

Invalid isolated partition root

In the case of an invalid partition root, a descriptive string on why the partition is invalid is included within parentheses.

For a local partition root to be valid, the following conditions must be met.

The parent cgroup is a valid partition root.

The “cpuset.cpus.exclusive.effective” file cannot be empty, though it may contain offline CPUs.

The “cpuset.cpus.effective” cannot be empty unless there is no task associated with this partition.

For a remote partition root to be valid, all the above conditions except the first one must be met.

External events like hotplug or changes to “cpuset.cpus” or “cpuset.cpus.exclusive” can cause a valid partition root to become invalid and vice versa. Note that a task cannot be moved to a cgroup with empty “cpuset.cpus.effective”.

A valid non-root parent partition may distribute out all its CPUs to its child local partitions when there is no task associated with it.

Care must be taken to change a valid partition root to “member” as all its child local partitions, if present, will become invalid causing disruption to tasks running in those child partitions. These inactivated partitions could be recovered if their parent is switched back to a partition root with a proper value in “cpuset.cpus” or “cpuset.cpus.exclusive”.

Poll and inotify events are triggered whenever the state of “cpuset.cpus.partition” changes. That includes changes caused by write to “cpuset.cpus.partition”, cpu hotplug or other changes that modify the validity status of the partition. This will allow user space agents to monitor unexpected changes to “cpuset.cpus.partition” without the need to do continuous polling.

A user can pre-configure certain CPUs to an isolated state with load balancing disabled at boot time with the “isolcpus” kernel boot command line option. If those CPUs are to be put into a partition, they have to be used in an isolated partition.

Device controller¶

Device controller manages access to device files. It includes both creation of new device files (using mknod), and access to the existing device files.

Cgroup v2 device controller has no interface files and is implemented on top of cgroup BPF. To control access to device files, a user may create bpf programs of type BPF_PROG_TYPE_CGROUP_DEVICE and attach them to cgroups with BPF_CGROUP_DEVICE flag. On an attempt to access a device file, corresponding BPF programs will be executed, and depending on the return value the attempt will succeed or fail with -EPERM.

A BPF_PROG_TYPE_CGROUP_DEVICE program takes a pointer to the bpf_cgroup_dev_ctx structure, which describes the device access attempt: access type (mknod/read/write) and device (type, major and minor numbers). If the program returns 0, the attempt fails with -EPERM, otherwise it succeeds.

An example of BPF_PROG_TYPE_CGROUP_DEVICE program may be found in tools/testing/selftests/bpf/progs/dev_cgroup.c in the kernel source tree.

RDMA¶

The “rdma” controller regulates the distribution and accounting of RDMA resources.

RDMA Interface Files¶

rdma.max
A readwrite nested-keyed file that exists for all the cgroups except root that describes current configured resource limit for a RDMA/IB device.

Lines are keyed by device name and are not ordered. Each line contains space separated resource name and its configured limit that can be distributed.

The following nested keys are defined.

hca_handle

Maximum number of HCA Handles

hca_object

Maximum number of HCA Objects

An example for mlx4 and ocrdma device follows:
mlx4_0 hca_handle=2 hca_object=2000
ocrdma1 hca_handle=3 hca_object=max
rdma.current
A read-only file that describes current resource usage. It exists for all the cgroup except root.

An example for mlx4 and ocrdma device follows:
mlx4_0 hca_handle=1 hca_object=20
ocrdma1 hca_handle=1 hca_object=23

HugeTLB¶

The HugeTLB controller allows to limit the HugeTLB usage per control group and enforces the controller limit during page fault.

HugeTLB Interface Files¶

hugetlb.<hugepagesize>.current
Show current usage for “hugepagesize” hugetlb. It exists for all the cgroup except root.

hugetlb.<hugepagesize>.max
Set/show the hard limit of “hugepagesize” hugetlb usage. The default value is “max”. It exists for all the cgroup except root.

hugetlb.<hugepagesize>.events
A read-only flat-keyed file which exists on non-root cgroups.

max
The number of allocation failure due to HugeTLB limit

hugetlb.<hugepagesize>.events.local
Similar to hugetlb.<hugepagesize>.events but the fields in the file are local to the cgroup i.e. not hierarchical. The file modified event generated on this file reflects only the local events.

hugetlb.<hugepagesize>.numa_stat
Similar to memory.numa_stat, it shows the numa information of the hugetlb pages of <hugepagesize> in this cgroup. Only active in use hugetlb pages are included. The per-node values are in bytes.

Misc¶

The Miscellaneous cgroup provides the resource limiting and tracking mechanism for the scalar resources which cannot be abstracted like the other cgroup resources. Controller is enabled by the CONFIG_CGROUP_MISC config option.

A resource can be added to the controller via enum misc_res_type{} in the include/linux/misc_cgroup.h file and the corresponding name via misc_res_name[] in the kernel/cgroup/misc.c file. Provider of the resource must set its capacity prior to using the resource by calling misc_cg_set_capacity().

Once a capacity is set then the resource usage can be updated using charge and uncharge APIs. All of the APIs to interact with misc controller are in include/linux/misc_cgroup.h.

Misc Interface Files¶

Miscellaneous controller provides 3 interface files. If two misc resources (res_a and res_b) are registered then:

misc.capacity
A read-only flat-keyed file shown only in the root cgroup. It shows miscellaneous scalar resources available on the platform along with their quantities:
$ cat misc.capacity
res_a 50
res_b 10
misc.current
A read-only flat-keyed file shown in the all cgroups. It shows the current usage of the resources in the cgroup and its children.:
$ cat misc.current
res_a 3
res_b 0
misc.peak
A read-only flat-keyed file shown in all cgroups. It shows the historical maximum usage of the resources in the cgroup and its children.:
$ cat misc.peak
res_a 10
res_b 8
misc.max
A read-write flat-keyed file shown in the non root cgroups. Allowed maximum usage of the resources in the cgroup and its children.:
$ cat misc.max
res_a max
res_b 4
Limit can be set by:
# echo res_a 1 > misc.max
Limit can be set to max by:
# echo res_a max > misc.max
Limits can be set higher than the capacity value in the misc.capacity file.
misc.events
A read-only flat-keyed file which exists on non-root cgroups. The following entries are defined. Unless specified otherwise, a value change in this file generates a file modified event. All fields in this file are hierarchical.

max
The number of times the cgroup’s resource usage was about to go over the max boundary.

misc.events.local
Similar to misc.events but the fields in the file are local to the cgroup i.e. not hierarchical. The file modified event generated on this file reflects only the local events.

Migration and Ownership¶

A miscellaneous scalar resource is charged to the cgroup in which it is used first, and stays charged to that cgroup until that resource is freed. Migrating a process to a different cgroup does not move the charge to the destination cgroup where the process has moved.

Others¶

perf_event¶

perf_event controller, if not mounted on a legacy hierarchy, is automatically enabled on the v2 hierarchy so that perf events can always be filtered by cgroup v2 path. The controller can still be moved to a legacy hierarchy after v2 hierarchy is populated.

Non-normative information¶

This section contains information that isn’t considered to be a part of the stable kernel API and so is subject to change.

CPU controller root cgroup process behaviour¶

When distributing CPU cycles in the root cgroup each thread in this cgroup is treated as if it was hosted in a separate child cgroup of the root cgroup. This child cgroup weight is dependent on its thread nice level.

For details of this mapping see sched_prio_to_weight array in kernel/sched/core.c file (values from this array should be scaled appropriately so the neutral - nice 0 - value is 100 instead of 1024).

IO controller root cgroup process behaviour¶

Root cgroup processes are hosted in an implicit leaf child node. When distributing IO resources this implicit child node is taken into account as if it was a normal child cgroup of the root cgroup with a weight value of 200.

Namespace¶

Basics¶

cgroup namespace provides a mechanism to virtualize the view of the “/proc/$PID/cgroup” file and cgroup mounts. The CLONE_NEWCGROUP clone flag can be used with clone(2) and unshare(2) to create a new cgroup namespace. The process running inside the cgroup namespace will have its “/proc/$PID/cgroup” output restricted to cgroupns root. The cgroupns root is the cgroup of the process at the time of creation of the cgroup namespace.

Without cgroup namespace, the “/proc/$PID/cgroup” file shows the complete path of the cgroup of a process. In a container setup where a set of cgroups and namespaces are intended to isolate processes the “/proc/$PID/cgroup” file may leak potential system level information to the isolated processes. For example:

# cat /proc/self/cgroup
0::/batchjobs/container_id1

The path ‘/batchjobs/container_id1’ can be considered as system-data and undesirable to expose to the isolated processes. cgroup namespace can be used to restrict visibility of this path. For example, before creating a cgroup namespace, one would see:

# ls -l /proc/self/ns/cgroup
lrwxrwxrwx 1 root root 0 2014-07-15 10:37 /proc/self/ns/cgroup -> cgroup:[4026531835]
# cat /proc/self/cgroup
0::/batchjobs/container_id1

After unsharing a new namespace, the view changes:

# ls -l /proc/self/ns/cgroup
lrwxrwxrwx 1 root root 0 2014-07-15 10:35 /proc/self/ns/cgroup -> cgroup:[4026532183]
# cat /proc/self/cgroup
0::/

When some thread from a multi-threaded process unshares its cgroup namespace, the new cgroupns gets applied to the entire process (all the threads). This is natural for the v2 hierarchy; however, for the legacy hierarchies, this may be unexpected.

A cgroup namespace is alive as long as there are processes inside or mounts pinning it. When the last usage goes away, the cgroup namespace is destroyed. The cgroupns root and the actual cgroups remain.

The Root and Views¶

The ‘cgroupns root’ for a cgroup namespace is the cgroup in which the process calling unshare(2) is running. For example, if a process in /batchjobs/container_id1 cgroup calls unshare, cgroup /batchjobs/container_id1 becomes the cgroupns root. For the init_cgroup_ns, this is the real root (‘/’) cgroup.

The cgroupns root cgroup does not change even if the namespace creator process later moves to a different cgroup:

# ~/unshare -c # unshare cgroupns in some cgroup
# cat /proc/self/cgroup
0::/
# mkdir sub_cgrp_1
# echo 0 > sub_cgrp_1/cgroup.procs
# cat /proc/self/cgroup
0::/sub_cgrp_1

Each process gets its namespace-specific view of “/proc/$PID/cgroup”

Processes running inside the cgroup namespace will be able to see cgroup paths (in /proc/self/cgroup) only inside their root cgroup. From within an unshared cgroupns:

# sleep 100000 &
[1] 7353
# echo 7353 > sub_cgrp_1/cgroup.procs
# cat /proc/7353/cgroup
0::/sub_cgrp_1

From the initial cgroup namespace, the real cgroup path will be visible:

$ cat /proc/7353/cgroup
0::/batchjobs/container_id1/sub_cgrp_1

From a sibling cgroup namespace (that is, a namespace rooted at a different cgroup), the cgroup path relative to its own cgroup namespace root will be shown. For instance, if PID 7353’s cgroup namespace root is at ‘/batchjobs/container_id2’, then it will see:

# cat /proc/7353/cgroup
0::/../container_id2/sub_cgrp_1

Note that the relative path always starts with ‘/’ to indicate that its relative to the cgroup namespace root of the caller.

Migration and setns(2)¶

Processes inside a cgroup namespace can move into and out of the namespace root if they have proper access to external cgroups. For example, from inside a namespace with cgroupns root at /batchjobs/container_id1, and assuming that the global hierarchy is still accessible inside cgroupns:

# cat /proc/7353/cgroup
0::/sub_cgrp_1
# echo 7353 > batchjobs/container_id2/cgroup.procs
# cat /proc/7353/cgroup
0::/../container_id2

Note that this kind of setup is not encouraged. A task inside cgroup namespace should only be exposed to its own cgroupns hierarchy.

setns(2) to another cgroup namespace is allowed when:

the process has CAP_SYS_ADMIN against its current user namespace
the process has CAP_SYS_ADMIN against the target cgroup namespace’s userns

No implicit cgroup changes happen with attaching to another cgroup namespace. It is expected that the someone moves the attaching process under the target cgroup namespace root.

Interaction with Other Namespaces¶

Namespace specific cgroup hierarchy can be mounted by a process running inside a non-init cgroup namespace:

# mount -t cgroup2 none $MOUNT_POINT

This will mount the unified cgroup hierarchy with cgroupns root as the filesystem root. The process needs CAP_SYS_ADMIN against its user and mount namespaces.

The virtualization of /proc/self/cgroup file combined with restricting the view of cgroup hierarchy by namespace-private cgroupfs mount provides a properly isolated cgroup view inside the container.

Information on Kernel Programming¶

This section contains kernel programming information in the areas where interacting with cgroup is necessary. cgroup core and controllers are not covered.

Filesystem Support for Writeback¶

A filesystem can support cgroup writeback by updating address_space_operations->writepage[s]() to annotate bio’s using the following two functions.

wbc_init_bio(@wbc, @bio)
Should be called for each bio carrying writeback data and associates the bio with the inode’s owner cgroup and the corresponding request queue. This must be called after a queue (device) has been associated with the bio and before submission.

wbc_account_cgroup_owner(@wbc, @folio, @bytes)
Should be called for each data segment being written out. While this function doesn’t care exactly when it’s called during the writeback session, it’s the easiest and most natural to call it as data segments are added to a bio.

With writeback bio’s annotated, cgroup support can be enabled per super_block by setting SB_I_CGROUPWB in ->s_iflags. This allows for selective disabling of cgroup writeback support which is helpful when certain filesystem features, e.g. journaled data mode, are incompatible.

wbc_init_bio() binds the specified bio to its cgroup. Depending on the configuration, the bio may be executed at a lower priority and if the writeback session is holding shared resources, e.g. a journal entry, may lead to priority inversion. There is no one easy solution for the problem. Filesystems can try to work around specific problem cases by skipping wbc_init_bio() and using bio_associate_blkg() directly.

Deprecated v1 Core Features¶

Multiple hierarchies including named ones are not supported.
All v1 mount options are not supported.
The “tasks” file is removed and “cgroup.procs” is not sorted.
“cgroup.clone_children” is removed.
/proc/cgroups is meaningless for v2. Use “cgroup.controllers” or “cgroup.stat” files at the root instead.

Issues with v1 and Rationales for v2¶

Multiple Hierarchies¶

cgroup v1 allowed an arbitrary number of hierarchies and each hierarchy could host any number of controllers. While this seemed to provide a high level of flexibility, it wasn’t useful in practice.

For example, as there is only one instance of each controller, utility type controllers such as freezer which can be useful in all hierarchies could only be used in one. The issue is exacerbated by the fact that controllers couldn’t be moved to another hierarchy once hierarchies were populated. Another issue was that all controllers bound to a hierarchy were forced to have exactly the same view of the hierarchy. It wasn’t possible to vary the granularity depending on the specific controller.

In practice, these issues heavily limited which controllers could be put on the same hierarchy and most configurations resorted to putting each controller on its own hierarchy. Only closely related ones, such as the cpu and cpuacct controllers, made sense to be put on the same hierarchy. This often meant that userland ended up managing multiple similar hierarchies repeating the same steps on each hierarchy whenever a hierarchy management operation was necessary.

Furthermore, support for multiple hierarchies came at a steep cost. It greatly complicated cgroup core implementation but more importantly the support for multiple hierarchies restricted how cgroup could be used in general and what controllers was able to do.

There was no limit on how many hierarchies there might be, which meant that a thread’s cgroup membership couldn’t be described in finite length. The key might contain any number of entries and was unlimited in length, which made it highly awkward to manipulate and led to addition of controllers which existed only to identify membership, which in turn exacerbated the original problem of proliferating number of hierarchies.

Also, as a controller couldn’t have any expectation regarding the topologies of hierarchies other controllers might be on, each controller had to assume that all other controllers were attached to completely orthogonal hierarchies. This made it impossible, or at least very cumbersome, for controllers to cooperate with each other.

In most use cases, putting controllers on hierarchies which are completely orthogonal to each other isn’t necessary. What usually is called for is the ability to have differing levels of granularity depending on the specific controller. In other words, hierarchy may be collapsed from leaf towards root when viewed from specific controllers. For example, a given configuration might not care about how memory is distributed beyond a certain level while still wanting to control how CPU cycles are distributed.

Thread Granularity¶

cgroup v1 allowed threads of a process to belong to different cgroups. This didn’t make sense for some controllers and those controllers ended up implementing different ways to ignore such situations but much more importantly it blurred the line between API exposed to individual applications and system management interface.

Generally, in-process knowledge is available only to the process itself; thus, unlike service-level organization of processes, categorizing threads of a process requires active participation from the application which owns the target process.

cgroup v1 had an ambiguously defined delegation model which got abused in combination with thread granularity. cgroups were delegated to individual applications so that they can create and manage their own sub-hierarchies and control resource distributions along them. This effectively raised cgroup to the status of a syscall-like API exposed to lay programs.

First of all, cgroup has a fundamentally inadequate interface to be exposed this way. For a process to access its own knobs, it has to extract the path on the target hierarchy from /proc/self/cgroup, construct the path by appending the name of the knob to the path, open and then read and/or write to it. This is not only extremely clunky and unusual but also inherently racy. There is no conventional way to define transaction across the required steps and nothing can guarantee that the process would actually be operating on its own sub-hierarchy.

cgroup controllers implemented a number of knobs which would never be accepted as public APIs because they were just adding control knobs to system-management pseudo filesystem. cgroup ended up with interface knobs which were not properly abstracted or refined and directly revealed kernel internal details. These knobs got exposed to individual applications through the ill-defined delegation mechanism effectively abusing cgroup as a shortcut to implementing public APIs without going through the required scrutiny.

This was painful for both userland and kernel. Userland ended up with misbehaving and poorly abstracted interfaces and kernel exposing and locked into constructs inadvertently.

Competition Between Inner Nodes and Threads¶

cgroup v1 allowed threads to be in any cgroups which created an interesting problem where threads belonging to a parent cgroup and its children cgroups competed for resources. This was nasty as two different types of entities competed and there was no obvious way to settle it. Different controllers did different things.

The cpu controller considered threads and cgroups as equivalents and mapped nice levels to cgroup weights. This worked for some cases but fell flat when children wanted to be allocated specific ratios of CPU cycles and the number of internal threads fluctuated - the ratios constantly changed as the number of competing entities fluctuated. There also were other issues. The mapping from nice level to weight wasn’t obvious or universal, and there were various other knobs which simply weren’t available for threads.

The io controller implicitly created a hidden leaf node for each cgroup to host the threads. The hidden leaf had its own copies of all the knobs with leaf_ prefixed. While this allowed equivalent control over internal threads, it was with serious drawbacks. It always added an extra layer of nesting which wouldn’t be necessary otherwise, made the interface messy and significantly complicated the implementation.

The memory controller didn’t have a way to control what happened between internal tasks and child cgroups and the behavior was not clearly defined. There were attempts to add ad-hoc behaviors and knobs to tailor the behavior to specific workloads which would have led to problems extremely difficult to resolve in the long term.

Multiple controllers struggled with internal tasks and came up with different ways to deal with it; unfortunately, all the approaches were severely flawed and, furthermore, the widely different behaviors made cgroup as a whole highly inconsistent.

This clearly is a problem which needs to be addressed from cgroup core in a uniform way.

Other Interface Issues¶

cgroup v1 grew without oversight and developed a large number of idiosyncrasies and inconsistencies. One issue on the cgroup core side was how an empty cgroup was notified - a userland helper binary was forked and executed for each event. The event delivery wasn’t recursive or delegatable. The limitations of the mechanism also led to in-kernel event delivery filtering mechanism further complicating the interface.

Controller interfaces were problematic too. An extreme example is controllers completely ignoring hierarchical organization and treating all cgroups as if they were all located directly under the root cgroup. Some controllers exposed a large amount of inconsistent implementation details to userland.

There also was no consistency across controllers. When a new cgroup was created, some controllers defaulted to not imposing extra restrictions while others disallowed any resource usage until explicitly configured. Configuration knobs for the same type of control used widely differing naming schemes and formats. Statistics and information knobs were named arbitrarily and used different formats and units even in the same controller.

cgroup v2 establishes common conventions where appropriate and updates controllers so that they expose minimal and consistent interfaces.

Controller Issues and Remedies¶

Memory¶

The original lower boundary, the soft limit, is defined as a limit that is per default unset. As a result, the set of cgroups that global reclaim prefers is opt-in, rather than opt-out. The costs for optimizing these mostly negative lookups are so high that the implementation, despite its enormous size, does not even provide the basic desirable behavior. First off, the soft limit has no hierarchical meaning. All configured groups are organized in a global rbtree and treated like equal peers, regardless where they are located in the hierarchy. This makes subtree delegation impossible. Second, the soft limit reclaim pass is so aggressive that it not just introduces high allocation latencies into the system, but also impacts system performance due to overreclaim, to the point where the feature becomes self-defeating.

The memory.low boundary on the other hand is a top-down allocated reserve. A cgroup enjoys reclaim protection when it’s within its effective low, which makes delegation of subtrees possible. It also enjoys having reclaim pressure proportional to its overage when above its effective low.

The original high boundary, the hard limit, is defined as a strict limit that can not budge, even if the OOM killer has to be called. But this generally goes against the goal of making the most out of the available memory. The memory consumption of workloads varies during runtime, and that requires users to overcommit. But doing that with a strict upper limit requires either a fairly accurate prediction of the working set size or adding slack to the limit. Since working set size estimation is hard and error prone, and getting it wrong results in OOM kills, most users tend to err on the side of a looser limit and end up wasting precious resources.

The memory.high boundary on the other hand can be set much more conservatively. When hit, it throttles allocations by forcing them into direct reclaim to work off the excess, but it never invokes the OOM killer. As a result, a high boundary that is chosen too aggressively will not terminate the processes, but instead it will lead to gradual performance degradation. The user can monitor this and make corrections until the minimal memory footprint that still gives acceptable performance is found.

In extreme cases, with many concurrent allocations and a complete breakdown of reclaim progress within the group, the high boundary can be exceeded. But even then it’s mostly better to satisfy the allocation from the slack available in other groups or the rest of the system than killing the group. Otherwise, memory.max is there to limit this type of spillover and ultimately contain buggy or even malicious applications.

Setting the original memory.limit_in_bytes below the current usage was subject to a race condition, where concurrent charges could cause the limit setting to fail. memory.max on the other hand will first set the limit to prevent new charges, and then reclaim and OOM kill until the new limit is met - or the task writing to memory.max is killed.

The combined memory+swap accounting and limiting is replaced by real control over swap space.

The main argument for a combined memory+swap facility in the original cgroup design was that global or parental pressure would always be able to swap all anonymous memory of a child group, regardless of the child’s own (possibly untrusted) configuration. However, untrusted groups can sabotage swapping by other means - such as referencing its anonymous memory in a tight loop - and an admin can not assume full swappability when overcommitting untrusted jobs.

For trusted jobs, on the other hand, a combined counter is not an intuitive userspace interface, and it flies in the face of the idea that cgroup controllers should account and limit specific physical resources. Swap space is a resource like all others in the system, and that’s why unified hierarchy allows distributing it separately.