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WorkflowState
WorkflowState is how you implement your asynchronous process as a "workflow".
It will run in the background, with infinite backoff retry by default.
A WorkflowState is a "big step", which includes 1 or 2 "small steps":
[ waitUntil
] → execute
The waitUntil
API returns "commands" to wait for. When the commands are completed, the execute
API will be invoked.
The waitUntil
API is optional. If not defined, then the execute
API will be invoked immediately when the Workflow State is started.
The execute
API returns a StateDecision to decide what is next.
NOTES:
- Both
waitUntil
andexecute
are hosted by REST APIs(via SDKs). -
waitUntil
method will not be waiting for the commands directly. The commands will be returned to server, then server will be waiting for the commands on behalf of application/workflow. There is nothing needed from application/workflow while it's waiting. In other words,waitUntil
is non-blocking, and not consuming any CPU/memory/resources on the waiting. - Both
waitUntil
andexecute
are implemented by code and executed in runtime dynamically. They are both hosted as REST API for iWF server to call. It's extremely flexible for business -- any code change deployed will take effect immediately.
User workflow implements a execute
API to return a StateDecision for:
- A next state
- Multiple next states running in parallel
- Stop the workflow:
- Graceful complete -- Stop the thread, and also will stop the workflow when all other threads are stopped
- Force complete -- Stop the workflow immediately
- Force fail -- Stop the workflow immediately with failure
- Dead end -- Just stop the thread, but not trying to stop the workflow.
- This is needed for advanced cases where you want to keep the workflow running when all threads stopped. Otherwise in most cases, using Graceful complete will get the same behavior)
- Atomically go to next state with condition(e.g. channel is not empty)
- This is for the advanced cases where you want stop the workflow while the (signal/internal) channel may be receiving new messages. Using this atomic decision can prevent message loss. Note that there must be only one state consuming the signal/internal channel.
State Decisions let you orchestrate the WorkflowState as complex as needed for any use case!
iWF provides three types of commands:
-
TimerCommand
-- Wait for a durable timer to fire.- Note that for each timer started by the commandRequest of a StateExecution, the scope is only valid within that StateExecution.
-
InternalChannelCommand
-- Wait for a message from InternalChannel.- Note that each InternalChannelCommand scopes within the StateExecution. However, InternalChannel is declared for the whole workflow, it’s scope is within the whole WorkflowExecution(sharing across all the StateExecutions)
-
SignalCommand
—- Wait for a signal to be published to the workflow signal channel. External applications can use SignalWorkflow API to signal a workflow.- Note that each SignalCommand scopes in the StateExecution. However, SignalChannel is declared for the whole workflow, its scope is within the whole WorkflowExecution(sharing across all the StateExecutions)
The waitUntil
API can return multiple commands along with a CommandWaitingType
:
-
AllCommandCompleted
-- Wait for all commands to be completed. -
AnyCommandCompleted
-- Wait for any of the commands to be completed. It could return more than one commands completed, even all, if more than one are completed. -
AnyCommandCombinationCompleted
-- Wait for any combination of the commands in a specified list to be completed.
For multiple commands in a CommandRequest, the CommandResults (provided in execute API) will remain the same order.
CommandId is for differentiating the commands within the same state execution. It’s mostly only useful for AnyCommandCombinationCompleted CommandWaitingType, which is an advanced use case to select a subset of the commands to wait for. It’s required to be non empty when using AnyCommandCombinationCompleted.
iWF provides message queue called InternalChannel
& SignalChannel
. User can just declare it in the workflow code without any management at all.
That means, you don't need to create or delete it, it just exists as you declaring it like a data attribute. The scope & lifecycle of the channels are within the workflow execution -- they are closed as the workflow execution closed (completed,timeout,failed,cacnceled).
A message sent to the InternalChannel/SignalChannel is persisted on server side, delivered to any WorkflowState that is waiting for it with waitUntil
.
Both channels are FIFO queues.
The channels/queues can receive messages whenever you send to them, even there is no state waiting for messages (async).
Signal is sent to iWF service without waiting for response of the processing. Using an iWF client to send a signal by calling the API:
iwfClient.signalWorkflow( MyWorkflow.class, "wf-id", "SignalChannelName", "some value");
Signal will be persisted by iWF service into a signal channel until a workflow state consumes it.
Message can be sent to an InternalChannel by a WorkflowState or RPC.
Note that the scope of an InternalChannel is only within its workflow execution (not shared across workflows).
RPC provides an API as mechanism to external application to interact with a workflow. Within an RPC, it can send a message to the internalChannel. This allows workflowState to be waiting for an external event/request before proceeding. E.g., a workflow can wait for an approval before updating the database.
When there are multiple threads of workflow states running in parallel, you may want to have them wait on each other to ensure some particular ordering.
For example, in your problem space, WorkflowStates 1,2,3 need to be completed before WorkflowState 4.
In this case, you need to utilize the "InternalChannel". WorkflowState 4 should be waiting on an "InternalChannel" for 3 messages via the waitUntil
API.
WorkflowState 1,2,3 will each publish a message when completing. This ensures propper ordering.
A full execution flow of a single WorklfowState can look like this:
To implement a WorkflowState, just implement the:
For Java, the waitUntil
has a default implementation so you just not implement it, and SDK will skip it to invoke execute
directly.
A full Java WorkflowState looks like:
class WaitSignalOrTimerState implements WorkflowState<Void> {
@Override
public Class<Void> getInputType() {
return Void.class;
}
@Override
public CommandRequest waitUntil(final Context context, final Void input, final Persistence persistence, final Communication communication) {
return CommandRequest.forAnyCommandCompleted(
TimerCommand.createByDuration(Duration.ofHours(24)),
SignalCommand.create(READY_SIGNAL)
);
}
@Override
public StateDecision execute(final Context context, final Void input, final CommandResults commandResults, final Persistence persistence, final Communication communication) {
if (commandResults.getAllTimerCommandResults().get(0).getTimerStatus() == TimerStatus.FIRED) {
return StateDecision.singleNextState(State4.class);
}
String someData = persistence.getDataAttribute(DA_DATA1, String.class);
System.out.println("call API3 with backoff retry in this method..");
return StateDecision.gracefulCompleteWorkflow();
}
}
Golang interface doesn't have default implementation. As a result, put iwf.WorkflowStateDefaultsNoWaitUntil
into the struct to skip waitUntil
.
type state1 struct {
iwf.WorkflowStateDefaultsNoWaitUntil
}
But if it needs waitUntil:
type state1 struct {
iwf.WorkflowStateDefaults
}
For Golang a full state is like:
type state3 struct {
iwf.WorkflowStateDefaults
svc service.MyService
}
func (i state3) WaitUntil(ctx iwf.WorkflowContext, input iwf.Object, persistence iwf.Persistence, communication iwf.Communication) (*iwf.CommandRequest, error) {
return iwf.AnyCommandCompletedRequest(
iwf.NewTimerCommand("", time.Now().Add(time.Hour*24)),
iwf.NewSignalCommand("", SignalChannelReady),
), nil
}
func (i state3) Execute(ctx iwf.WorkflowContext, input iwf.Object, commandResults iwf.CommandResults, persistence iwf.Persistence, communication iwf.Communication) (*iwf.StateDecision, error) {
var data string
persistence.GetDataAttribute(keyData, &data)
i.svc.CallAPI3(data)
if commandResults.Timers[0].Status == iwfidl.FIRED {
return iwf.SingleNextState(state4{}, nil), nil
}
return iwf.GracefulCompletingWorkflow, nil
}
For Python, the wait_until
has a default implementation so you just not implement it, and SDK will skip it to invoke execute
directly.
A full state is like:
class TimerOrInternalChannelState(WorkflowState[None]):
def wait_until(self, ctx: WorkflowContext, input: T, persistence: Persistence, communication: Communication,
) -> CommandRequest:
return CommandRequest.for_any_command_completed(
TimerCommand.timer_command_by_duration(
timedelta(seconds=10)
), # use 10 seconds for demo
InternalChannelCommand.by_name(verify_channel),
)
def execute(self, ctx: WorkflowContext, input: T, command_results: CommandResults, persistence: Persistence,
communication: Communication,
) -> StateDecision:
form = persistence.get_data_attribute(data_attribute_form)
if (
command_results.internal_channel_commands[0].status
== ChannelRequestStatus.RECEIVED
):
print(f"API to send welcome email to {form.email}")
return StateDecision.graceful_complete_workflow("done")
else:
print(f"API to send the a reminder email to {form.email}")
return StateDecision.single_next_state(VerifyState)