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Thread documentation: Rewritten chapter 3 on loops and locks once again
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@ -25,16 +25,17 @@ Locks in BIRD (called domains, as they always lock some defined part of BIRD)
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are partially ordered. Every *domain* has its *type* and all threads are
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strictly required to lock the domains in the order of their respective types.
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The full order is defined in `lib/locking.h`. It's forbidden to lock more than
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one domain of a type (these domains are uncomparable) and recursive locking as well.
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one domain of a type (these domains are uncomparable) and recursive locking is
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forbidden as well.
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The locking hiearchy is (as of December 2021) like this:
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The locking hiearchy is (roughly; as of February 2022) like this:
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1. The BIRD Lock (for everything not yet checked and/or updated)
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2. Protocols (as of December 2021, it is BFD, RPKI and Pipe)
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2. Protocols (as of February 2022, it is BFD, RPKI, Pipe and BGP)
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3. Routing tables
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4. Global route attribute cache
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5. Message passing
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6. Internals
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6. Internals and memory management
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There are heavy checks to ensure proper locking and to help debugging any
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problem when any code violates the hierarchy rules. This impedes performance
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@ -48,11 +49,33 @@ Risks arising from dropping some locking checks include:
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* data corruption; it either kills BIRD anyway, or it results into a slow and vicious death,
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leaving undebuggable corefiles behind.
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To be honest, I believe in principles like "there is also one more bug somewhere"
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and I just don't trust my future self or anybody else to write bugless code when
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it comes to proper locking. I believe that if a lock becomes a bottle-neck,
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then we should think about what is locked inside and how to optimize that, instead
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of dropping thorough consistency checks.
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To be honest, I believe in principles like *"every nontrivial software has at least one bug"*
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and I also don't trust my future self or anybody else to always write bugless code when
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it comes to proper locking. I also believe that if a lock becomes a bottle-neck,
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then we should think about what is locked inside and how to optimize that,
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possibly implementing a lockless or waitless data structure instead of dropping
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thorough consistency checks, especially in a multithreaded environment.
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### Choosing the right locking order
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When considering the locking order of protocols and route tables, the answer
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was quite easy. We had to make either import or export asynchronous (or both).
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Major reasons for asynchronous export have been stated in the previous chapter,
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therefore it makes little sense to allow entering protocol context from table code.
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As I write further in this text, even accessing table context from protocol
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code leads to contention on table locks, yet for now, it is good enough and the
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lock order features routing tables after protocols to make the multithreading
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goal easier to achieve.
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The major lock level is still The BIRD Lock, containing not only the
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not-yet-converted protocols (like Babel, OSPF or RIP) but also processing CLI
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commands and reconfiguration. This involves an awful lot of direct access into
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other contexts which would be unnecessarily complicated to implement by message
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passing. Therefore, this lock is simply *"the director"*, sitting on the top.
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The lower lock levels are mostly for shared global data structures accessed
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from everywhere. We'll address some of these later.
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## IO Loop
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@ -64,15 +87,13 @@ routines. This code could be easily updated for general use so I did it.
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To understand the internal principles, we should say that in the `master`
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branch, there is a big loop centered around a `poll()` call, dispatching and
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executing everything as needed. There are several means how to get something dispatched from the main loop.
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executing everything as needed. There are several means how to get something dispatched from a loop.
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1. Requesting to read from a socket makes the main loop call your hook when there is some data received.
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The same happens when a socket refuses to write data. Then the data is buffered and you are called when
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the buffer is free. There is also a third callback, an error hook, for obvious reasons.
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2. Requesting to be called back after a given amount of time. The callback may
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be delayed by any amount of time, anyway when it exceeds 5 seconds (default,
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configurable) at least the user gets a warning. This is called *timer*.
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2. Requesting to be called back after a given amount of time. This is called *timer*.
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3. Requesting to be called back when possible. This is useful to run anything
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not reentrant which might mess with the caller's data, e.g. when a protocol
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@ -97,118 +118,82 @@ locking that loop's domain. In fact, every event queue has its own lock with a
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low priority, allowing to pass messages from almost any part of BIRD, and also
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an assigned loop which executes the events enqueued. When a message is passed
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to a queue executed by another loop, that target loop must be woken up so we
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must know what loop to wake up to avoid unnecessary delays.
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must know what loop to wake up to avoid unnecessary delays. Then the target
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loop opens its mailbox and processes the task in its context.
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The other way is faster but not always possible. When the target loop domain
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may be locked from the original loop domain, we may simply *enter the target loop*,
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do the work and then *leave the loop*. Route import uses this approach to
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directly update the best route in the target table. In the other direction,
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loop entering is not possible and events must be used to pass messages.
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The other way is a direct access of another domain. This approach blocks the
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appropriate loop from doing anything and we call it *entering a birdloop* to
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remember that the task must be fast and *leave the birdloop* as soon as possible.
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Route import is done via direct access from protocols to tables; in large
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setups with fast filters, this is a major point of contention (after filters
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have been parallelized) and will be addressed in future optimization efforts.
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Reconfiguration and interface updates also use direct access; more on that later.
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In general, this approach should be avoided unless there are good reasons to use it.
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Asynchronous message passing is expensive. It involves sending a byte to a pipe
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to wakeup a loop from `poll` to execute the message. If we had to send a ping
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for every route we import to every channel to export it, we'd spend more time
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pinging than computing the best route. The route update routines therefore
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employ a double-indirect delayed route announcement:
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Even though direct access is bad, sending lots of messages may be even worse.
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Imagine one thousand post(wo)men, coming one by one every minute, ringing your
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doorbell and delivering one letter each to you. Horrible! Asynchronous message
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passing works exactly this way. After queuing the message, the source sends a
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byte to a pipe to wakeup the target loop to process the task. We could also
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periodically poll for messages instead of waking up the targets, yet it would
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add quite a lot of latency which we also don't like.
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1. When a channel imports a route by entering a loop, it sends an event to its
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own loop (no ping needed in such case). This operation is idempotent, thus
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for several routes, only one event is enqueued.
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2. After all packet parsing is done, the channel import announcement event is
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executed, sending another event to the table's loop. There may have been
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multiple imports in the same time but the exports have to get a ping just once.
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3. The table's announcement event is executed from its loop, enqueuing export
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events for all connected channels, finally initiating route exports.
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Messages in BIRD don't typically suffer from the problem of amount and the
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overhead is negligible compared to the overall CPU consumption. With one notable
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exception: route import/export.
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This may seem overly complicated, yet it also allows the incoming changes to
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settle down before exports are finished, reducing also cache invalidation
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between importing and exporting threads.
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### Route export message passing
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## Choosing the right locking order
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If we had to send a ping for every route we import to every exporting channel,
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we'd spend more time pinging than doing anything else. Been there, seen
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those unbelievable 80%-like figures in Perf output. Never more.
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When considering the locking order of protocols and route tables, the answer was quite easy.
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If route tables could enter protocol loops, they would have to either directly
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execute protocol code, one export after another, or send whole routes by messages.
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Setting this other way around (protocol entering route tables), protocols do
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everything on their time, minimizing table time. Tables are contention points.
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Route update is quite a complicated process. BIRD must handle large-scale
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configurations with lots of importers and exporters. Therefore, a
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triple-indirect delayed route announcement is employed:
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The third major lock level is The BIRD Lock, containing virtually everything
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else. It is also established that BFD is after The BIRD Lock, as BFD is
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low-latency and can't wait until The BIRD gets unlocked. Thus it would be
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convenient to have all protocols on the same level, getting The BIRD Lock on top.
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1. First, when a channel imports a route by entering a loop, it sends an event
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to its own loop (no ping needed in such case). This operation is idempotent,
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thus for several routes in a row, only one event is enqueued. This reduces
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several route imports (even hundreds in case of massive BGP withdrawals) to
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one single event.
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2. When the channel is done importing (or at least takes a coffee break and
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checks its mailbox), the scheduled event in its own loop is run, sending
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another event to the table's loop, saying basically *"Hey, table, I've just
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imported something."*. This event is also idempotent and further reduces
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route imports from multiple sources to one single event.
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3. The table's announcement event is then executed from its loop, enqueuing export
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events for all connected channels, finally initiating route exports. As we
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already know, imports are done by direct access, therefore if protocols keep
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importing, export announcements must wait.
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The BIRD Lock also runs CLI, reconfiguration and other high-level tasks,
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requiring access to everything. Having The BIRD Lock anywhere else, these
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high-level tasks, scattered all around BIRD source code, would have to be split
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out to some super-loop.
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## Route tables
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BFD could be split out thanks to its special nature. There are no BFD routes,
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therefore no route tables are accessed. To split out any other protocol, we
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need the protocol to be able to directly access routing tables. Therefore
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route tables have to be split out first, to make space for protocols to go
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between tables and The BIRD main loop.
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Route tables are primarily data structures, yet they have their maintenance
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routines. Their purpose is (among others) to cleanup export buffers, update
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recursive routes and delete obsolete routes. This all may take lots of time
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occasionally so it makes sense to have a dedicated thread for these.
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In previous versions, I had a special type of event loop based on semaphores,
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contrary to the loop originating in BFD, based on `poll`. This was
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unnecessarily complicated, thus I rewrote that finally to use the universal IO
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loop, just with no sockets at all.
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There are some drawbacks of this, notably the number of filedescriptors BIRD
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now uses. The user should also check the maximum limit on threads per process.
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This change also means that imports and exports are started and stopped
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asynchronously. Stopping an import needs to wait until all its routes are gone.
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This induced some changes in the protocol state machine.
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## Protocols
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After tables were running in their own loops, the simplest protocol to split
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out was Pipe. There are still no sockets, just events. This also means that
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every single filter assigned to a pipe is run in its own thread, not blocking
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others. (To be precise, both directions of a pipe share the same thread.)
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When RPKI is in use, we want it to load the ROAs as soon as possible. Its table
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is independent and the protocol itself is so simple that it could be put into
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its own thread easily.
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Other protocols are pending (Kernel) or in progress (BGP).
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I tried to make the conversion also as easy as possible, implementing most of
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the code in the generic functions in `nest/proto.c`. There are some
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synchronization points in the protocol state machine; we can't simply delete
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all protocol data when there is another thread running. Together with the
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asynchronous import/export stopping, it is quite messy and it might need some
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future cleanup. Anyway, moving a protocol to its own thread should be now as simple
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as setting its locking level in its `config.Y` file and stopping all timers
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before shutting down.
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(See commits `4f3fa1623f66acd24c227cf0cc5a4af2f5133b6c`
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and `3fd1f46184aa74d8ab7ed65c9ab6954f7e49d309`.)
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This may seem overly complicated, yet it should work and it seems to work. In
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case of low load, all these notifications just come through smoothly. In case
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of high load, it's common that multiple updates come for the same destination.
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Delaying the exports allows for the updates to settle down and export just the
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final result, reducing CPU load and export traffic.
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## Cork
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Route propagation is involved in yet another problem which has to be addressed.
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In the old versions with synchronous route propagation, all the buffering
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happened after exporting routes to BGP. When a packet arrived, all the work was
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done in BGP receive hook – parsing, importing into a table, running all the
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filters and possibly sending to the peers. No more routes until the previous
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was done. This doesn't work any more.
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was done. This self-regulating mechanism doesn't work any more.
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Route table import now returns immediately after inserting the route into a
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table, creating a buffer there. These buffers have to be processed by other protocols'
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export events, typically queued in the *global work queue* to be limited for lower latency.
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There is therefore no inherent limit for table export buffers which may lead
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(and occasionally leads) to memory bloating. This is even worse in configurations with pipes,
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as these multiply the exports by propagating them all the way down to other tables.
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export events. In large-scale configurations, one route import has to be
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processed by hundreds, even thousands of exports. Unlimited imports are a major
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cause of buffer bloating. This is even worse in configurations with pipes,
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as these multiply the exports by propagating them all the way down to other
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tables, eventually eating about twice the amount of memory than the single-threaded version.
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There is therefore a cork to make this stop. Every table is checking how many
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exports it has pending, and when adding a new route, it may apply a cork,
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saying simply "please stop the flow for a while". When the exports are then processed, it uncorks.
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exports it has pending, and when adding a new export to the queue, it may apply
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a cork, saying simply "please stop the flow for a while". When the exports are
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then processed, it uncorks.
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On the other side, there may be events and sockets with a cork assigned. When
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trying to enqueue an event and the cork is applied, the event is instead put
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@ -217,23 +202,20 @@ sockets, when `poll` arguments are recalculated, the corked socket is not
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checked for received packets, effectively keeping them in the TCP queue and
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slowing down the flow.
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Both events and sockets have some delay before they get to the cork. This is
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intentional; the purpose of cork is to slow down and allow for exports.
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The cork implementation is probably due to some future changes after BGP gets
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split out of the main loop, depending on how it is going to perform. I suppose
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that the best way should be to implement a proper table API to allow for
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explicit backpressure on both sides:
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The cork implementation is quite crude and rough and fragile. It may get some
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rework while stabilizing the multi-threaded version of BIRD or we may even
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completely drop it for some better mechanism. One of these candidates is this
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kind of API:
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* (table to protocol) please do not import
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* (table to protocol) you may resume imports
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* (protocol to table) not processing any exports
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* (protocol to table) resuming export processing
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Anyway, for now it is good enough as it is.
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Anyway, cork works as intended in most cases at least for now.
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*It's still a long road to the version 2.1. This series of texts should document
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what is needed to be changed, why we do it and how. The
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*It's a long road to the version 2.1. This series of texts should document what
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is changing, why we do it and how. The
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[previous chapter](https://en.blog.nic.cz/2021/06/14/bird-journey-to-threads-chapter-2-asynchronous-route-export/)
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showed how the route export had to change to allow parallel execution. In the next chapter, some memory management
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shows how the route export had to change to allow parallel execution. In the next chapter, some memory management
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details are to be explained together with the reasons why memory management matters. Stay tuned!*
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