Module Rpc_parallel.Parallel
include Rpc_parallel__.Parallel_intf.Parallel
module type Worker = Rpc_parallel__.Parallel_intf.Worker with type ('w, 'q, 'r) _function := ('w, 'q, 'r) Function.t
module type Functions = Rpc_parallel__.Parallel_intf.Functions
module type Creator = Rpc_parallel__.Parallel_intf.Creator with type ('w, 'q, 'r) _function := ('w, 'q, 'r) Function.t and type ('w, 'q, 'r) _direct := ('w, 'q, 'r) Function.Direct_pipe.t
module type Worker_spec = Rpc_parallel__.Parallel_intf.Worker_spec with type ('w, 'q, 'r) _function := ('w, 'q, 'r) Function.t and type ('w, 'q, 'r) _direct := ('w, 'q, 'r) Function.Direct_pipe.t
module Make : functor (S : Worker_spec) -> Worker with type 'a functions := 'a S.functions and type worker_state_init_arg := S.Worker_state.init_arg and type connection_state_init_arg := S.Connection_state.init_arg
module Worker = Make(T)
val start_app : ?rpc_max_message_size:int -> ?rpc_handshake_timeout:Core.Time.Span.t -> ?rpc_heartbeat_config:Async.Rpc.Connection.Heartbeat_config.t -> Async.Command.t -> unit
start_app command
should be called from the top-level in order to start the parallel application. This function will parse certain environment variables and determine whether to start as a master or a worker.rpc_max_message_size
,rpc_handshake_timeout
,rpc_heartbeat_config
can be used to alter the rpc defaults. These rpc settings will be used for all connections. This can be useful if you have long async jobs.
module State : sig ... end
Use
State.get
to query whether the current process has been initialized as an rpc parallel master (start_app
orinit_master_exn
has been called). We return aState.t
rather than abool
so that you can require evidence at the type level. If you want to certify, as a precondition, for some function thatstart_app
was used, require aState.t
as an argument. If you don't need theState.t
anymore, just pattern match on it.
module For_testing : sig ... end
module Expert : sig ... end
If you want more direct control over your executable, you can use the
Expert
module instead ofstart_app
. If you useExpert
, you are responsible for starting the master and worker rpc servers.worker_command_args
will be the arguments sent to each spawned worker. Running your executable with these args must follow a code path that callsworker_init_before_async_exn
and thenstart_worker_server_exn
. An easy way to do this is to useworker_command
.