|author||Andrii Nakryiko <email@example.com>||2020-05-29 00:54:24 -0700|
|committer||Alexei Starovoitov <firstname.lastname@example.org>||2020-06-01 14:38:22 -0700|
docs/bpf: Add BPF ring buffer design notes
Add commit description from patch #1 as a stand-alone documentation under Documentation/bpf, as it might be more convenient format, in long term perspective. Suggested-by: Stanislav Fomichev <email@example.com> Signed-off-by: Andrii Nakryiko <firstname.lastname@example.org> Signed-off-by: Daniel Borkmann <email@example.com> Link: https://firstname.lastname@example.org Signed-off-by: Alexei Starovoitov <email@example.com>
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+BPF ring buffer
+This document describes BPF ring buffer design, API, and implementation details.
+ :depth: 2
+There are two distinctive motivators for this work, which are not satisfied by
+existing perf buffer, which prompted creation of a new ring buffer
+- more efficient memory utilization by sharing ring buffer across CPUs;
+- preserving ordering of events that happen sequentially in time, even across
+ multiple CPUs (e.g., fork/exec/exit events for a task).
+These two problems are independent, but perf buffer fails to satisfy both.
+Both are a result of a choice to have per-CPU perf ring buffer. Both can be
+also solved by having an MPSC implementation of ring buffer. The ordering
+problem could technically be solved for perf buffer with some in-kernel
+counting, but given the first one requires an MPSC buffer, the same solution
+would solve the second problem automatically.
+Semantics and APIs
+Single ring buffer is presented to BPF programs as an instance of BPF map of
+type ``BPF_MAP_TYPE_RINGBUF``. Two other alternatives considered, but
+One way would be to, similar to ``BPF_MAP_TYPE_PERF_EVENT_ARRAY``, make
+``BPF_MAP_TYPE_RINGBUF`` could represent an array of ring buffers, but not
+enforce "same CPU only" rule. This would be more familiar interface compatible
+with existing perf buffer use in BPF, but would fail if application needed more
+advanced logic to lookup ring buffer by arbitrary key.
+``BPF_MAP_TYPE_HASH_OF_MAPS`` addresses this with current approach.
+Additionally, given the performance of BPF ringbuf, many use cases would just
+opt into a simple single ring buffer shared among all CPUs, for which current
+approach would be an overkill.
+Another approach could introduce a new concept, alongside BPF map, to represent
+generic "container" object, which doesn't necessarily have key/value interface
+with lookup/update/delete operations. This approach would add a lot of extra
+infrastructure that has to be built for observability and verifier support. It
+would also add another concept that BPF developers would have to familiarize
+themselves with, new syntax in libbpf, etc. But then would really provide no
+additional benefits over the approach of using a map. ``BPF_MAP_TYPE_RINGBUF``
+doesn't support lookup/update/delete operations, but so doesn't few other map
+types (e.g., queue and stack; array doesn't support delete, etc).
+The approach chosen has an advantage of re-using existing BPF map
+infrastructure (introspection APIs in kernel, libbpf support, etc), being
+familiar concept (no need to teach users a new type of object in BPF program),
+and utilizing existing tooling (bpftool). For common scenario of using a single
+ring buffer for all CPUs, it's as simple and straightforward, as would be with
+a dedicated "container" object. On the other hand, by being a map, it can be
+combined with ``ARRAY_OF_MAPS`` and ``HASH_OF_MAPS`` map-in-maps to implement
+a wide variety of topologies, from one ring buffer for each CPU (e.g., as
+a replacement for perf buffer use cases), to a complicated application
+hashing/sharding of ring buffers (e.g., having a small pool of ring buffers
+with hashed task's tgid being a look up key to preserve order, but reduce
+Key and value sizes are enforced to be zero. ``max_entries`` is used to specify
+the size of ring buffer and has to be a power of 2 value.
+There are a bunch of similarities between perf buffer
+(``BPF_MAP_TYPE_PERF_EVENT_ARRAY``) and new BPF ring buffer semantics:
+- variable-length records;
+- if there is no more space left in ring buffer, reservation fails, no
+- memory-mappable data area for user-space applications for ease of
+ consumption and high performance;
+- epoll notifications for new incoming data;
+- but still the ability to do busy polling for new data to achieve the
+ lowest latency, if necessary.
+BPF ringbuf provides two sets of APIs to BPF programs:
+- ``bpf_ringbuf_output()`` allows to *copy* data from one place to a ring
+ buffer, similarly to ``bpf_perf_event_output()``;
+ APIs split the whole process into two steps. First, a fixed amount of space
+ is reserved. If successful, a pointer to a data inside ring buffer data
+ area is returned, which BPF programs can use similarly to a data inside
+ array/hash maps. Once ready, this piece of memory is either committed or
+ discarded. Discard is similar to commit, but makes consumer ignore the
+``bpf_ringbuf_output()`` has disadvantage of incurring extra memory copy,
+because record has to be prepared in some other place first. But it allows to
+submit records of the length that's not known to verifier beforehand. It also
+closely matches ``bpf_perf_event_output()``, so will simplify migration
+``bpf_ringbuf_reserve()`` avoids the extra copy of memory by providing a memory
+pointer directly to ring buffer memory. In a lot of cases records are larger
+than BPF stack space allows, so many programs have use extra per-CPU array as
+a temporary heap for preparing sample. bpf_ringbuf_reserve() avoid this needs
+completely. But in exchange, it only allows a known constant size of memory to
+be reserved, such that verifier can verify that BPF program can't access memory
+outside its reserved record space. bpf_ringbuf_output(), while slightly slower
+due to extra memory copy, covers some use cases that are not suitable for
+The difference between commit and discard is very small. Discard just marks
+a record as discarded, and such records are supposed to be ignored by consumer
+code. Discard is useful for some advanced use-cases, such as ensuring
+all-or-nothing multi-record submission, or emulating temporary
+``malloc()``/``free()`` within single BPF program invocation.
+Each reserved record is tracked by verifier through existing
+reference-tracking logic, similar to socket ref-tracking. It is thus
+impossible to reserve a record, but forget to submit (or discard) it.
+``bpf_ringbuf_query()`` helper allows to query various properties of ring
+buffer. Currently 4 are supported:
+- ``BPF_RB_AVAIL_DATA`` returns amount of unconsumed data in ring buffer;
+- ``BPF_RB_RING_SIZE`` returns the size of ring buffer;
+- ``BPF_RB_CONS_POS``/``BPF_RB_PROD_POS`` returns current logical possition
+ of consumer/producer, respectively.
+Returned values are momentarily snapshots of ring buffer state and could be
+off by the time helper returns, so this should be used only for
+debugging/reporting reasons or for implementing various heuristics, that take
+into account highly-changeable nature of some of those characteristics.
+One such heuristic might involve more fine-grained control over poll/epoll
+notifications about new data availability in ring buffer. Together with
+``BPF_RB_NO_WAKEUP``/``BPF_RB_FORCE_WAKEUP`` flags for output/commit/discard
+helpers, it allows BPF program a high degree of control and, e.g., more
+efficient batched notifications. Default self-balancing strategy, though,
+should be adequate for most applications and will work reliable and efficiently
+Design and Implementation
+This reserve/commit schema allows a natural way for multiple producers, either
+on different CPUs or even on the same CPU/in the same BPF program, to reserve
+independent records and work with them without blocking other producers. This
+means that if BPF program was interruped by another BPF program sharing the
+same ring buffer, they will both get a record reserved (provided there is
+enough space left) and can work with it and submit it independently. This
+applies to NMI context as well, except that due to using a spinlock during
+reservation, in NMI context, ``bpf_ringbuf_reserve()`` might fail to get
+a lock, in which case reservation will fail even if ring buffer is not full.
+The ring buffer itself internally is implemented as a power-of-2 sized
+circular buffer, with two logical and ever-increasing counters (which might
+wrap around on 32-bit architectures, that's not a problem):
+- consumer counter shows up to which logical position consumer consumed the
+- producer counter denotes amount of data reserved by all producers.
+Each time a record is reserved, producer that "owns" the record will
+successfully advance producer counter. At that point, data is still not yet
+ready to be consumed, though. Each record has 8 byte header, which contains the
+length of reserved record, as well as two extra bits: busy bit to denote that
+record is still being worked on, and discard bit, which might be set at commit
+time if record is discarded. In the latter case, consumer is supposed to skip
+the record and move on to the next one. Record header also encodes record's
+relative offset from the beginning of ring buffer data area (in pages). This
+allows ``bpf_ringbuf_commit()``/``bpf_ringbuf_discard()`` to accept only the
+pointer to the record itself, without requiring also the pointer to ring buffer
+itself. Ring buffer memory location will be restored from record metadata
+header. This significantly simplifies verifier, as well as improving API
+Producer counter increments are serialized under spinlock, so there is
+a strict ordering between reservations. Commits, on the other hand, are
+completely lockless and independent. All records become available to consumer
+in the order of reservations, but only after all previous records where
+already committed. It is thus possible for slow producers to temporarily hold
+off submitted records, that were reserved later.
+Reservation/commit/consumer protocol is verified by litmus tests in
+One interesting implementation bit, that significantly simplifies (and thus
+speeds up as well) implementation of both producers and consumers is how data
+area is mapped twice contiguously back-to-back in the virtual memory. This
+allows to not take any special measures for samples that have to wrap around
+at the end of the circular buffer data area, because the next page after the
+last data page would be first data page again, and thus the sample will still
+appear completely contiguous in virtual memory. See comment and a simple ASCII
+diagram showing this visually in ``bpf_ringbuf_area_alloc()``.
+Another feature that distinguishes BPF ringbuf from perf ring buffer is
+a self-pacing notifications of new data being availability.
+``bpf_ringbuf_commit()`` implementation will send a notification of new record
+being available after commit only if consumer has already caught up right up to
+the record being committed. If not, consumer still has to catch up and thus
+will see new data anyways without needing an extra poll notification.
+Benchmarks (see tools/testing/selftests/bpf/benchs/bench_ringbuf.c_) show that
+this allows to achieve a very high throughput without having to resort to
+tricks like "notify only every Nth sample", which are necessary with perf
+buffer. For extreme cases, when BPF program wants more manual control of
+notifications, commit/discard/output helpers accept ``BPF_RB_NO_WAKEUP`` and
+``BPF_RB_FORCE_WAKEUP`` flags, which give full control over notifications of
+data availability, but require extra caution and diligence in using this API.