Author: Richard Kallos
Lightweight concurrent DAG execution engine
Wrek is designed to execute task dependency graphs concurrently. A vertex V
in a task dependency graph can execute once all vertices with paths to V
have
finished executing. This execution model is similar to tools like Concourse CI.
To retrieve events from wrek, you can pass in the pid of a gen_event
process,
and add handlers as you see fit.
- Erlang 19.0+
$ rebar3 compile
- Write callback modules that implement the
wrek_vert
behaviour. - Create a map
Map
reflecting the structure of the graph you want to run. wrek:start(Map)
orwrek:start(Map, Opts)
.
{event_manager, pid()}
: Specify agen_event
process to forward events to{failure_mode, partial | total}
(default: total): Switch between partial and total failure modes. Total failure will immediately shut down all running vertices within a DAG. Partial failure will cancel running all tasks reachable by any failed vertex, but will continue until all vertices finish running.{global_timeout, integer() | undefined}
: Specify a timeout in milliseconds by which the entire DAG will shutdown if it hasn't already finished. Anundefined
value means no timeout. (default: undefined)
-module(true_vert).
-behaviour(wrek_vert).
-export([run/2]).
run(_Args, Parent) ->
{ok, Fun} = wrek_vert:exec(Parent, ".", "true"),
ok = Fun(),
{ok, #{}}.
1> Map = #{
one => #{module => true_vert, args => [], deps => []},
two => #{module => true_vert, args => [], deps => [one]},
three => #{module => true_vert, args => [], deps => [one]}}.
2> wrek:start(Map). % Runs one, then two+three concurrently
VertDefn = #{module => wrek_sleep_vert, args => [], deps => [], timeout => 10},
Where timeout
is the number of milliseconds until normal completion
or forced timeout.