Instance Management

Outside of a workflow definition, you manage running and finished instances through the workflow proxy and the WorkflowsService.

A single instance

Get a handle by id, then inspect or control it.

val workflow = workflowFactory<MyWorkflow>(workflowId)

val view = workflow.getWorkflowInstanceView()
println(view.status)      // RUNNING, WAITING, COMPLETED, ERROR, TIMEOUT, RETRIES_EXHAUSTED
println(view.createdAt)

workflow.cancelWorkflowInstance("User cancelled")

MyWorkflow workflow = workflowFactory.invoke(MyWorkflow.class, workflowId);

WorkflowInstanceView view = workflow.getWorkflowInstanceView();
System.out.println(view.getStatus());     // RUNNING, WAITING, COMPLETED, ERROR, TIMEOUT, RETRIES_EXHAUSTED
System.out.println(view.getCreatedAt());

workflow.cancelWorkflowInstance("User cancelled");

Cancellation won’t kill a workflow that is actively executing, but it prevents further retries and cancels a workflow that is in a waiting state.

Bulk operations

WorkflowsService operates across many instances — useful for dashboards and incident response.

// Count by status
val running = workflowsService.countWorkflowsByStatus(listOf(RUNNING))

// Find workflows parked after exhausting retries
val stuck = workflowsService.findWorkflowsWithExhaustedRetries(100)

// Re-run them (retries the last failed action)
workflowsService.reExecuteWorkflows(listOf("wf-1", "wf-2"))

// Cancel several non-terminal workflows
workflowsService.cancelWorkflows(listOf("wf-3", "wf-4"), "Cleaning up")

// Count by status
long running = workflowsService.countWorkflowsByStatus(List.of(RUNNING));

// Find workflows parked after exhausting retries
List<String> stuck = workflowsService.findWorkflowsWithExhaustedRetries(100);

// Re-run them (retries the last failed action)
workflowsService.reExecuteWorkflows(List.of("wf-1", "wf-2"));

// Cancel several non-terminal workflows
workflowsService.cancelWorkflows(List.of("wf-3", "wf-4"), "Cleaning up");

Rewinding a workflow

For incident recovery, rewindWorkflow resets a workflow to a chosen checkpoint (the “pivot”) and replays from there — even if the workflow is already in a terminal state. It atomically sets the status back to RUNNING, deletes the pivot checkpoint and everything after it, and schedules immediate execution. Checkpoints before the pivot are kept, so those actions don’t run again.

// By named checkpoint
workflowsService.rewindWorkflow("wf-1", "charge-payment")

// By named checkpoint
workflowsService.rewindWorkflow("wf-1", "charge-payment");

Rewinding permanently deletes the discarded checkpoints, and any non-idempotent side effects in the re-executed actions will happen again. Use it only for incident recovery.

Dead-letter queue

Workflows that cannot make progress due to an unexpected error in workflow code end up in a dead-letter queue (DLQ) for manual inspection. After fixing the underlying issue, re-drive or remove them.

val failed = workflowsService.inspectDeadLetterQueue(100)
workflowsService.redriveDeadLetterQueue(failed)   // retry
workflowsService.removeFromDeadLetterQueue(failed) // give up, remove

List<Task<Object>> failed = workflowsService.inspectDeadLetterQueue(100);
workflowsService.redriveDeadLetterQueue(failed);    // retry
workflowsService.removeFromDeadLetterQueue(failed); // give up, remove