android_kernel_samsung_sm8650_ksu/Documentation/block/blk-mq.rst

.. SPDX-License-Identifier: GPL-2.0

================================================
Multi-Queue Block IO Queueing Mechanism (blk-mq)
================================================

The Multi-Queue Block IO Queueing Mechanism is an API to enable fast storage
devices to achieve a huge number of input/output operations per second (IOPS)
through queueing and submitting IO requests to block devices simultaneously,
benefiting from the parallelism offered by modern storage devices.

Introduction
============

Background
----------

Magnetic hard disks have been the de facto standard from the beginning of the
development of the kernel. The Block IO subsystem aimed to achieve the best
performance possible for those devices with a high penalty when doing random
access, and the bottleneck was the mechanical moving parts, a lot slower than
any layer on the storage stack. One example of such optimization technique
involves ordering read/write requests according to the current position of the
hard disk head.

However, with the development of Solid State Drives and Non-Volatile Memories
without mechanical parts nor random access penalty and capable of performing
high parallel access, the bottleneck of the stack had moved from the storage
device to the operating system. In order to take advantage of the parallelism
in those devices' design, the multi-queue mechanism was introduced.

The former design had a single queue to store block IO requests with a single
lock. That did not scale well in SMP systems due to dirty data in cache and the
bottleneck of having a single lock for multiple processors. This setup also
suffered with congestion when different processes (or the same process, moving
to different CPUs) wanted to perform block IO. Instead of this, the blk-mq API
spawns multiple queues with individual entry points local to the CPU, removing
the need for a lock. A deeper explanation on how this works is covered in the
following section (`Operation`_).

Operation
---------

When the userspace performs IO to a block device (reading or writing a file,
for instance), blk-mq takes action: it will store and manage IO requests to
the block device, acting as middleware between the userspace (and a file
system, if present) and the block device driver.

blk-mq has two group of queues: software staging queues and hardware dispatch
queues. When the request arrives at the block layer, it will try the shortest
path possible: send it directly to the hardware queue. However, there are two
cases that it might not do that: if there's an IO scheduler attached at the
layer or if we want to try to merge requests. In both cases, requests will be
sent to the software queue.

Then, after the requests are processed by software queues, they will be placed
at the hardware queue, a second stage queue where the hardware has direct access
to process those requests. However, if the hardware does not have enough
resources to accept more requests, blk-mq will places requests on a temporary
queue, to be sent in the future, when the hardware is able.

Software staging queues
~~~~~~~~~~~~~~~~~~~~~~~

The block IO subsystem adds requests in the software staging queues
(represented by struct blk_mq_ctx) in case that they weren't sent
directly to the driver. A request is one or more BIOs. They arrived at the
block layer through the data structure struct bio. The block layer
will then build a new structure from it, the struct request that will
be used to communicate with the device driver. Each queue has its own lock and
the number of queues is defined by a per-CPU or per-node basis.

The staging queue can be used to merge requests for adjacent sectors. For
instance, requests for sector 3-6, 6-7, 7-9 can become one request for 3-9.
Even if random access to SSDs and NVMs have the same time of response compared
to sequential access, grouped requests for sequential access decreases the
number of individual requests. This technique of merging requests is called
plugging.

Along with that, the requests can be reordered to ensure fairness of system
resources (e.g. to ensure that no application suffers from starvation) and/or to
improve IO performance, by an IO scheduler.

IO Schedulers
^^^^^^^^^^^^^

There are several schedulers implemented by the block layer, each one following
a heuristic to improve the IO performance. They are "pluggable" (as in plug
and play), in the sense of they can be selected at run time using sysfs. You
can read more about Linux's IO schedulers `here
<https://www.kernel.org/doc/html/latest/block/index.html>`_. The scheduling
happens only between requests in the same queue, so it is not possible to merge
requests from different queues, otherwise there would be cache trashing and a
need to have a lock for each queue. After the scheduling, the requests are
eligible to be sent to the hardware. One of the possible schedulers to be
selected is the NONE scheduler, the most straightforward one. It will just
place requests on whatever software queue the process is running on, without
any reordering. When the device starts processing requests in the hardware
queue (a.k.a. run the hardware queue), the software queues mapped to that
hardware queue will be drained in sequence according to their mapping.

Hardware dispatch queues
~~~~~~~~~~~~~~~~~~~~~~~~

The hardware queue (represented by struct blk_mq_hw_ctx) is a struct
used by device drivers to map the device submission queues (or device DMA ring
buffer), and are the last step of the block layer submission code before the
low level device driver taking ownership of the request. To run this queue, the
block layer removes requests from the associated software queues and tries to
dispatch to the hardware.

If it's not possible to send the requests directly to hardware, they will be
added to a linked list (``hctx->dispatch``) of requests. Then,
next time the block layer runs a queue, it will send the requests laying at the
``dispatch`` list first, to ensure a fairness dispatch with those
requests that were ready to be sent first. The number of hardware queues
depends on the number of hardware contexts supported by the hardware and its
device driver, but it will not be more than the number of cores of the system.
There is no reordering at this stage, and each software queue has a set of
hardware queues to send requests for.

.. note::

        Neither the block layer nor the device protocols guarantee
        the order of completion of requests. This must be handled by
        higher layers, like the filesystem.

Tag-based completion
~~~~~~~~~~~~~~~~~~~~

In order to indicate which request has been completed, every request is
identified by an integer, ranging from 0 to the dispatch queue size. This tag
is generated by the block layer and later reused by the device driver, removing
the need to create a redundant identifier. When a request is completed in the
driver, the tag is sent back to the block layer to notify it of the finalization.
This removes the need to do a linear search to find out which IO has been
completed.

Further reading
---------------

- `Linux Block IO: Introducing Multi-queue SSD Access on Multi-core Systems <http://kernel.dk/blk-mq.pdf>`_

- `NOOP scheduler <https://en.wikipedia.org/wiki/Noop_scheduler>`_

- `Null block device driver <https://www.kernel.org/doc/html/latest/block/null_blk.html>`_

Source code documentation
=========================

.. kernel-doc:: include/linux/blk-mq.h

.. kernel-doc:: block/blk-mq.c