1 .. SPDX-License-Identifier: GPL-2.0 2 3 ================================================ 4 Multi-Queue Block IO Queueing Mechanism (blk-mq) 5 ================================================ 6 7 The Multi-Queue Block IO Queueing Mechanism is an API to enable fast storage 8 devices to achieve a huge number of input/output operations per second (IOPS) 9 through queueing and submitting IO requests to block devices simultaneously, 10 benefiting from the parallelism offered by modern storage devices. 11 12 Introduction 13 ============ 14 15 Background 16 ---------- 17 18 Magnetic hard disks have been the de facto standard from the beginning of the 19 development of the kernel. The Block IO subsystem aimed to achieve the best 20 performance possible for those devices with a high penalty when doing random 21 access, and the bottleneck was the mechanical moving parts, a lot slower than 22 any layer on the storage stack. One example of such optimization technique 23 involves ordering read/write requests according to the current position of the 24 hard disk head. 25 26 However, with the development of Solid State Drives and Non-Volatile Memories 27 without mechanical parts nor random access penalty and capable of performing 28 high parallel access, the bottleneck of the stack had moved from the storage 29 device to the operating system. In order to take advantage of the parallelism 30 in those devices' design, the multi-queue mechanism was introduced. 31 32 The former design had a single queue to store block IO requests with a single 33 lock. That did not scale well in SMP systems due to dirty data in cache and the 34 bottleneck of having a single lock for multiple processors. This setup also 35 suffered with congestion when different processes (or the same process, moving 36 to different CPUs) wanted to perform block IO. Instead of this, the blk-mq API 37 spawns multiple queues with individual entry points local to the CPU, removing 38 the need for a lock. A deeper explanation on how this works is covered in the 39 following section (`Operation`_). 40 41 Operation 42 --------- 43 44 When the userspace performs IO to a block device (reading or writing a file, 45 for instance), blk-mq takes action: it will store and manage IO requests to 46 the block device, acting as middleware between the userspace (and a file 47 system, if present) and the block device driver. 48 49 blk-mq has two group of queues: software staging queues and hardware dispatch 50 queues. When the request arrives at the block layer, it will try the shortest 51 path possible: send it directly to the hardware queue. However, there are two 52 cases that it might not do that: if there's an IO scheduler attached at the 53 layer or if we want to try to merge requests. In both cases, requests will be 54 sent to the software queue. 55 56 Then, after the requests are processed by software queues, they will be placed 57 at the hardware queue, a second stage queue where the hardware has direct access 58 to process those requests. However, if the hardware does not have enough 59 resources to accept more requests, blk-mq will place requests on a temporary 60 queue, to be sent in the future, when the hardware is able. 61 62 Software staging queues 63 ~~~~~~~~~~~~~~~~~~~~~~~ 64 65 The block IO subsystem adds requests in the software staging queues 66 (represented by struct blk_mq_ctx) in case that they weren't sent 67 directly to the driver. A request is one or more BIOs. They arrived at the 68 block layer through the data structure struct bio. The block layer 69 will then build a new structure from it, the struct request that will 70 be used to communicate with the device driver. Each queue has its own lock and 71 the number of queues is defined by a per-CPU or per-node basis. 72 73 The staging queue can be used to merge requests for adjacent sectors. For 74 instance, requests for sector 3-6, 6-7, 7-9 can become one request for 3-9. 75 Even if random access to SSDs and NVMs have the same time of response compared 76 to sequential access, grouped requests for sequential access decreases the 77 number of individual requests. This technique of merging requests is called 78 plugging. 79 80 Along with that, the requests can be reordered to ensure fairness of system 81 resources (e.g. to ensure that no application suffers from starvation) and/or to 82 improve IO performance, by an IO scheduler. 83 84 IO Schedulers 85 ^^^^^^^^^^^^^ 86 87 There are several schedulers implemented by the block layer, each one following 88 a heuristic to improve the IO performance. They are "pluggable" (as in plug 89 and play), in the sense of they can be selected at run time using sysfs. You 90 can read more about Linux's IO schedulers `here 91 <https://www.kernel.org/doc/html/latest/block/index.html>`_. The scheduling 92 happens only between requests in the same queue, so it is not possible to merge 93 requests from different queues, otherwise there would be cache trashing and a 94 need to have a lock for each queue. After the scheduling, the requests are 95 eligible to be sent to the hardware. One of the possible schedulers to be 96 selected is the NONE scheduler, the most straightforward one. It will just 97 place requests on whatever software queue the process is running on, without 98 any reordering. When the device starts processing requests in the hardware 99 queue (a.k.a. run the hardware queue), the software queues mapped to that 100 hardware queue will be drained in sequence according to their mapping. 101 102 Hardware dispatch queues 103 ~~~~~~~~~~~~~~~~~~~~~~~~ 104 105 The hardware queue (represented by struct blk_mq_hw_ctx) is a struct 106 used by device drivers to map the device submission queues (or device DMA ring 107 buffer), and are the last step of the block layer submission code before the 108 low level device driver taking ownership of the request. To run this queue, the 109 block layer removes requests from the associated software queues and tries to 110 dispatch to the hardware. 111 112 If it's not possible to send the requests directly to hardware, they will be 113 added to a linked list (``hctx->dispatch``) of requests. Then, 114 next time the block layer runs a queue, it will send the requests laying at the 115 ``dispatch`` list first, to ensure a fairness dispatch with those 116 requests that were ready to be sent first. The number of hardware queues 117 depends on the number of hardware contexts supported by the hardware and its 118 device driver, but it will not be more than the number of cores of the system. 119 There is no reordering at this stage, and each software queue has a set of 120 hardware queues to send requests for. 121 122 .. note:: 123 124 Neither the block layer nor the device protocols guarantee 125 the order of completion of requests. This must be handled by 126 higher layers, like the filesystem. 127 128 Tag-based completion 129 ~~~~~~~~~~~~~~~~~~~~ 130 131 In order to indicate which request has been completed, every request is 132 identified by an integer, ranging from 0 to the dispatch queue size. This tag 133 is generated by the block layer and later reused by the device driver, removing 134 the need to create a redundant identifier. When a request is completed in the 135 driver, the tag is sent back to the block layer to notify it of the finalization. 136 This removes the need to do a linear search to find out which IO has been 137 completed. 138 139 Further reading 140 --------------- 141 142 - `Linux Block IO: Introducing Multi-queue SSD Access on Multi-core Systems <http://kernel.dk/blk-mq.pdf>`_ 143 144 - `NOOP scheduler <https://en.wikipedia.org/wiki/Noop_scheduler>`_ 145 146 - `Null block device driver <https://www.kernel.org/doc/html/latest/block/null_blk.html>`_ 147 148 Source code documentation 149 ========================= 150 151 .. kernel-doc:: include/linux/blk-mq.h 152 153 .. kernel-doc:: block/blk-mq.c
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