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| +# Chrome Network Stack Common Coding Patterns |
| + |
| +## Combined error and byte count into a single value |
| + |
| +At many places in the network stack, functions return a value that, if |
| +positive, indicate a count of bytes that the the function read or |
| +wrote, and if negative, indicates a network stack error code (see |
| +[net_error_list.h][]). |
| +Zero indicates either `net::OK` or zero bytes read (usually EOF) |
| +depending on the context. This pattern is generally specified by |
| +an `int` return type. |
| + |
| +Many functions also have variables (often named `result` or `rv`) containing |
| +such a value; this is especially common in the [DoLoop](#DoLoop) pattern |
| +described below. |
| + |
| +## Sync/Async Return |
| + |
| +Many network stack routines may return synchronously or |
| +asynchronously. These functions generally return an int as described |
| +above. There are three cases: |
| + |
| +* If the value is positive or zero, that indicates a synchronous |
| + successful return, with a zero return value indicating either zero |
| + bytes/EOF or indicating `net::OK`, depending on context. |
| +* If the value is negative and != `net::ERR_IO_PENDING`, it is an error |
| + code specifying a synchronous failure. |
| +* If the return value is the special value `net::ERR_IO_PENDING`, it |
| + indicates that the routine will complete asynchronously. A reference to |
| + any provided IOBuffer will be retained by the called entity until |
| + completion, to be written into or read from as required. |
| + If there is a callback argument, that callback will be called upon |
| + completion with the return value; if there is no callback argument, it |
| + usually means that some known callback mechanism will be employed. |
| + |
| +## DoLoop |
| + |
| +The DoLoop pattern is used in the network stack to construct simple |
| +state machines. It is used for cases in which processing is basically |
| +single-threaded and could be written in a single function, if that |
| +function could block waiting for input. Generally, initiation of a |
| +state machine is triggered by some method invocation by a class |
| +consumer, and that state machine is driven (possibly across |
| +asynchronous IO initiated by the class) until the operation requested |
| +by the method invocation completes, at which point the state machine |
| +is reset if completed and the consumer notified. Note that that class |
| +employing the DoLoop pattern may retain state between invocations of |
| +the state machine, and that state may affect the starting state by the |
| +next consumer operation, or the legality of that operation. |
|
mmenke
2015/09/22 14:44:49
I think it's clearer just to say "at which point n
Randy Smith (Not in Mondays)
2015/09/22 15:22:48
Seems reasonable. I'll rely on the discussions of
|
| + |
| +Cases which do not fit into this single-threaded, single consumer |
| +operation model are generally adapted in some way to fit the model, |
| +either by multiple state machines (e.g. independent state machines for |
| +reading and writing, if each can be initiated while the other is |
| +outstanding) or by storing information across consumer invocations and |
| +returns that can be used to restart the state machine in the proper |
| +state. |
| + |
| +Any class using this pattern will contain an enum listing all states |
| +of that machine, and define a function, `DoLoop()`, to drive that state |
| +machine. If a class has multiple state machines (as above) it will |
| +have multiple methods (e.g. `DoReadLoop()` and `DoWriteLoop()`) to drive |
| +those different machines. |
| + |
| +The characteristics of the DoLoop pattern are: |
| + |
| +* Each state has a corresponding function which is called by `DoLoop()` |
| + for handling when the state machine is in that state. Generally the |
| + states are named STATE`_<`STATE_NAME`>` (upper case separated by |
| + underscores), and the routine is named Do`<`StateName`>` (CamelCase). |
| + For example: |
| + |
| + enum State { |
| + STATE_NONE, |
| + STATE_INIT, |
| + STATE_FOO, |
| + STATE_FOO_COMPLETE, |
| + }; |
| + int DoInit(); |
| + int DoFoo(); |
| + int DoFooComplete(int result); |
| + |
| +* Each state handling function has two basic responsibilities in |
| + addition to state specific handling: Setting the data member |
| + (named `next_state_` or something similar) |
| + to specify the next state, and returning a `net::Error` (or combined |
| + error and byte count, as above). |
| + |
| +* On each `DoLoop()` iteration, the function saves the next state to a local |
| + variable and resets to a default state (`STATE_NONE`), |
| + and then calls the appropriate state handling based on the |
| + original value of the next state. This looks like: |
| + |
| + do { |
| + State state = io_state_; |
| + next_state_ = STATE_NONE; |
| + switch (state) { |
| + case STATE_INIT: |
| + result = DoInit(); |
| + break; |
| + ... |
| + |
| + This pattern is followed primarily to ensure that in the event of |
| + a bug where the next state isn't set, the loop terminates rather |
| + than loops infinitely. It's not a perfect mitigation, but works |
| + well as a defensive measure. |
| + |
| +* If a given state may complete asynchronously (for example, |
| + writing to an underlying transport socket), then there will often |
| + be split states, such as `STATE_WRITE` and |
| + `STATE_WRITE_COMPLETE`. The first state is responsible for |
| + starting/continuing the original operation, while the second state |
| + is responsible for handling completion (e.g. success vs error, |
| + complete vs. incomplete writes), and determining the next state to |
| + transition to. |
| + |
| +* While the return value from each call is propagated through the loop |
| + to the next state, it is expected that for most state transitions the |
| + return value will be `net::OK`, and that an error return will also |
| + set the state to `STATE_NONE` or fail to override the default |
| + assignment to `STATE_DONE` to exit the loop and return that |
| + error to the caller. This is often asserted with a DCHECK, e.g. |
| + |
| + case STATE_FOO: |
| + DCHECK_EQ(result, OK); |
| + result = DoFoo(); |
| + break; |
| + |
| + The exception to this pattern is split states, where an IO |
| + operation has been dispatched, and the second state is handling |
| + the result. In that case, the second state's function takes the |
| + result code: |
| + |
| + case STATE_FOO_COMPLETE: |
| + result = DoFooComplete(result); |
| + break; |
| + |
| +* If the return value from the state handling function is |
| + `net::ERR_IO_PENDING`, that indicates that the function has arranged |
| + for `DoLoop()` to be called at some point in the future, when further |
| + progress can be made on the state transitions. The `next_state_` variable |
| + will have been set to the proper value for handling that incoming |
| + call. In this case, `DoLoop()` will exit. This often occurs between |
| + split states, as described above. |
| + |
| +* The DoLoop mechanism is generally invoked in response to a consumer |
| + calling one of its methods. While the operation that method |
| + requested is occuring, the state machine stays active, possibly |
| + over multiple asynchronous operations and state transitions. When |
| + that operation is complete, the state machine transitions to |
| + `STATE_NONE` (by a `DoLoop()` callee not setting `next_state_`) or |
| + explicitly to `STATE_DONE` (indicating that the operation is |
| + complete *and* the state machine is not amenable to further |
| + driving). At this point the consumer is notified of the completion |
| + of the operation (by synchronous return or asynchronous callback). |
| + |
| + Note that this implies that when `DoLoop()` returns, one of two |
| + things will be true: |
| + |
| + * The return value will be `net::ERR_IO_PENDING`, indicating that the |
| + caller should take no action and instead wait for asynchronous |
| + notification. |
| + * The state of the machine will be either `STATE_DONE` or `STATE_NONE`, |
| + indicating that the operation that first initiated the `DoLoop()` has |
| + completed. |
| + |
| + This invariant reflects and enforces the single-threaded (though |
| + possibly asynchronous) nature of the driven state machine--the |
| + machine is always executing one requested operation. |
| + |
| +* `DoLoop()` is called from two places: a) methods exposed to the consumer |
| + for specific operations (e.g. `ReadHeaders()`), and b) an IO completion |
| + callbacks called asynchronously by spawned IO operations. |
| + |
| + In the first case, the return value from `DoLoop()` is returned directly |
| + to the caller; if the operation completed synchronously, that will |
| + contain the operation result, and if it completed asynchronously, it |
| + will be `net::ERR_IO_PENDING`. For example (from |
| + `HttpStreamParser`, abridged for clarity): |
| + |
| + int HttpStreamParser::ReadResponseHeaders( |
| + const CompletionCallback& callback) { |
| + DCHECK(io_state_ == STATE_NONE || io_state_ == STATE_DONE); |
| + DCHECK(callback_.is_null()); |
| + DCHECK(!callback.is_null()); |
| + |
| + int result = OK; |
| + io_state_ = STATE_READ_HEADERS; |
| + |
| + result = DoLoop(result); |
| + |
| + if (result == ERR_IO_PENDING) |
| + callback_ = callback; |
| + |
| + return result > 0 ? OK : result; |
| + } |
| + |
| + In the second case, the IO completion callback will examine the |
| + return value from `DoLoop()`. If it is `net::ERR_IO_PENDING`, no |
| + further action will be taken, and the IO completion callback will be |
| + called again at some future point. If it is not |
| + `net::ERR_IO_PENDING`, that is a signal that the operation has |
| + completed, and the IO completion callback will call the appropriate |
| + consumer callback to notify the consumer that the operation has |
| + completed. Note that it is important that this callback be done |
| + from the IO completion callback and not from `DoLoop()` or a |
| + `DoLoop()` callee, both to support the sync/async error return |
| + (DoLoop and its callees don't know the difference) and to avoid |
| + consumer callbacks deleting the object out from under `DoLoop()`. |
| + Example: |
| + |
| + void HttpStreamParser::OnIOComplete(int result) { |
| + result = DoLoop(result); |
| + |
| + if (result != ERR_IO_PENDING && !callback_.is_null()) |
| + base::ResetAndReturn(&callback_).Run(result); |
| + } |
| + |
| +* The DoLoop pattern has no concept of different events arriving for |
| + a single state; each state, if waiting, is waiting for one |
| + particular event, and when `DoLoop()` is invoked when the machine is |
| + in that state, it will handle that event. This reflects the |
| + single-threaded model for operations spawned by the state machine. |
| + |
| +Public class methods generally have very little processing, primarily wrapping |
| +`DoLoop()`. For `DoLoop()` entry this involves setting the `next_state_` |
| +variable, and possibly making copies of arguments into class members. For |
| +`DoLoop()` exit, it involves inspecting the return and passing it back to |
| +the caller, and in the asynchronous case, saving any passed completion callback |
| +for executing by a future subsidiary IO completion (see above example). |
| + |
| +This idiom allows synchronous and asynchronous logic to be written in |
| +the same fashion; it's all just state transition handling. For mostly |
| +linear state diagrams, the handling code can be very easy to |
| +comprehend, as such code is usually written linearly (in different |
| +handling functions) in the order it's executed. |
| + |
| +For examples of this idiom, see |
| + |
| +* [HttpStreamParser::DoLoop](https://code.google.com/p/chromium/codesearch#chromium/src/net/http/http_stream_parser.cc&q=HttpStreamParser::DoLoop&sq=package:chromium). |
| +* [HttpNetworkTransaction::DoLoop](https://code.google.com/p/chromium/codesearch#chromium/src/net/http/http_network_transaction.cc&q=HttpNetworkTransaction::DoLoop&sq=package:chromium) |
| + |
| +[net_error_list.h]: https://chromium.googlesource.com/chromium/src/+/master/net/base/net_error_list.h#1 |