How to: Manage workflows

Manage and run workflows

Now that you’ve authored the workflow and its activities in your application, you can start, terminate, and get information about the workflow using HTTP API calls. For more information, read the workflow API reference.

Manage your workflow within your code. In the workflow example from the Author a workflow guide, the workflow is registered in the code using the following APIs:

  • start_workflow: Start an instance of a workflow
  • get_workflow: Get information on the status of the workflow
  • pause_workflow: Pauses or suspends a workflow instance that can later be resumed
  • resume_workflow: Resumes a paused workflow instance
  • raise_workflow_event: Raise an event on a workflow
  • purge_workflow: Removes all metadata related to a specific workflow instance
  • terminate_workflow: Terminate or stop a particular instance of a workflow
from dapr.ext.workflow import WorkflowRuntime, DaprWorkflowContext, WorkflowActivityContext
from dapr.clients import DaprClient

# Sane parameters
instanceId = "exampleInstanceID"
workflowComponent = "dapr"
workflowName = "hello_world_wf"
eventName = "event1"
eventData = "eventData"

# Start the workflow
start_resp = d.start_workflow(instance_id=instanceId, workflow_component=workflowComponent,
                        workflow_name=workflowName, input=inputData, workflow_options=workflowOptions)

# Get info on the workflow
getResponse = d.get_workflow(instance_id=instanceId, workflow_component=workflowComponent)

# Pause the workflow
d.pause_workflow(instance_id=instanceId, workflow_component=workflowComponent)

# Resume the workflow
d.resume_workflow(instance_id=instanceId, workflow_component=workflowComponent)

# Raise an event on the workflow. 
 d.raise_workflow_event(instance_id=instanceId, workflow_component=workflowComponent,
                    event_name=eventName, event_data=eventData)

# Purge the workflow
d.purge_workflow(instance_id=instanceId, workflow_component=workflowComponent)

# Terminate the workflow
d.terminate_workflow(instance_id=instanceId, workflow_component=workflowComponent)

Manage your workflow within your code. In the OrderProcessingWorkflow example from the Author a workflow guide, the workflow is registered in the code. You can now start, terminate, and get information about a running workflow:

string orderId = "exampleOrderId";
string workflowComponent = "dapr";
string workflowName = "OrderProcessingWorkflow";
OrderPayload input = new OrderPayload("Paperclips", 99.95);
Dictionary<string, string> workflowOptions; // This is an optional parameter

// Start the workflow. This returns back a "StartWorkflowResponse" which contains the instance ID for the particular workflow instance.
StartWorkflowResponse startResponse = await daprClient.StartWorkflowAsync(orderId, workflowComponent, workflowName, input, workflowOptions);

// Get information on the workflow. This response contains information such as the status of the workflow, when it started, and more!
GetWorkflowResponse getResponse = await daprClient.GetWorkflowAsync(orderId, workflowComponent, eventName);

// Terminate the workflow
await daprClient.TerminateWorkflowAsync(orderId, workflowComponent);

// Raise an event (an incoming purchase order) that your workflow will wait for. This returns the item waiting to be purchased.
await daprClient.RaiseWorkflowEventAsync(orderId, workflowComponent, workflowName, input);

// Pause
await daprClient.PauseWorkflowAsync(orderId, workflowComponent);

// Resume
await daprClient.ResumeWorkflowAsync(orderId, workflowComponent);

// Purge the workflow, removing all inbox and history information from associated instance
await daprClient.PurgeWorkflowAsync(orderId, workflowComponent);

Manage your workflow within your code. In the workflow example from the Java SDK, the workflow is registered in the code using the following APIs:

  • scheduleNewWorkflow: Starts a new workflow instance
  • getInstanceState: Get information on the status of the workflow
  • waitForInstanceStart: Pauses or suspends a workflow instance that can later be resumed
  • raiseEvent: Raises events/tasks for the running workflow instance
  • waitForInstanceCompletion: Waits for the workflow to complete its tasks
  • purgeInstance: Removes all metadata related to a specific workflow instance
  • terminateWorkflow: Terminates the workflow
  • purgeInstance: Removes all metadata related to a specific workflow
package io.dapr.examples.workflows;

import io.dapr.workflows.client.DaprWorkflowClient;
import io.dapr.workflows.client.WorkflowInstanceStatus;

// ...
public class DemoWorkflowClient {

  // ...
  public static void main(String[] args) throws InterruptedException {
    DaprWorkflowClient client = new DaprWorkflowClient();

    try (client) {
      // Start a workflow
      String instanceId = client.scheduleNewWorkflow(DemoWorkflow.class, "input data");
      // Get status information on the workflow
      WorkflowInstanceStatus workflowMetadata = client.getInstanceState(instanceId, true);

      // Wait or pause for the workflow instance start
      try {
        WorkflowInstanceStatus waitForInstanceStartResult =
            client.waitForInstanceStart(instanceId, Duration.ofSeconds(60), true);

      // Raise an event for the workflow; you can raise several events in parallel
      client.raiseEvent(instanceId, "TestEvent", "TestEventPayload");
      client.raiseEvent(instanceId, "event1", "TestEvent 1 Payload");
      client.raiseEvent(instanceId, "event2", "TestEvent 2 Payload");
      client.raiseEvent(instanceId, "event3", "TestEvent 3 Payload");

      // Wait for workflow to complete running through tasks
      try {
        WorkflowInstanceStatus waitForInstanceCompletionResult =
            client.waitForInstanceCompletion(instanceId, Duration.ofSeconds(60), true);

      // Purge the workflow instance, removing all metadata associated with it
      boolean purgeResult = client.purgeInstance(instanceId);

      // Terminate the workflow instance
      client.terminateWorkflow(instanceToTerminateId, null);


Manage your workflow using HTTP calls. The example below plugs in the properties from the Author a workflow example with a random instance ID number.

Start workflow

To start your workflow with an ID 12345678, run:

POST http://localhost:3500/v1.0-beta1/workflows/dapr/OrderProcessingWorkflow/start?instanceID=12345678

Note that workflow instance IDs can only contain alphanumeric characters, underscores, and dashes.

Terminate workflow

To terminate your workflow with an ID 12345678, run:

POST http://localhost:3500/v1.0-beta1/workflows/dapr/12345678/terminate

Raise an event

For workflow components that support subscribing to external events, such as the Dapr Workflow engine, you can use the following “raise event” API to deliver a named event to a specific workflow instance.

POST http://localhost:3500/v1.0-beta1/workflows/<workflowComponentName>/<instanceID>/raiseEvent/<eventName>

An eventName can be any function.

Pause or resume a workflow

To plan for down-time, wait for inputs, and more, you can pause and then resume a workflow. To pause a workflow with an ID 12345678 until triggered to resume, run:

POST http://localhost:3500/v1.0-beta1/workflows/dapr/12345678/pause

To resume a workflow with an ID 12345678, run:

POST http://localhost:3500/v1.0-beta1/workflows/dapr/12345678/resume

Purge a workflow

The purge API can be used to permanently delete workflow metadata from the underlying state store, including any stored inputs, outputs, and workflow history records. This is often useful for implementing data retention policies and for freeing resources.

Only workflow instances in the COMPLETED, FAILED, or TERMINATED state can be purged. If the workflow is in any other state, calling purge returns an error.

POST http://localhost:3500/v1.0-beta1/workflows/dapr/12345678/purge

Get information about a workflow

To fetch workflow information (outputs and inputs) with an ID 12345678, run:

GET http://localhost:3500/v1.0-beta1/workflows/dapr/12345678

Learn more about these HTTP calls in the workflow API reference guide.

Next steps