The documentation you are viewing is for Dapr v1.13 which is an older version of Dapr. For up-to-date documentation, see the latest version.
如何在Java SDK中创作和管理Dapr工作流
如何使用 Dapr Java SDK 启动和运行工作流
注意
Dapr工作流目前处于beta阶段。 查看已知限制 1.13.0.让我们创建一个 Dapr 工作流,并使用控制台调用它。 通过提供的工作流示例,您将:
- 使用Java工作流工作者执行工作流实例
- 利用Java工作流客户端和API调用来启动和终止工作流实例
这个示例使用dapr init中的默认配置,在自托管模式下。
前期准备
- Dapr CLI 和初始化环境.
- Java JDK 11(或更高版本):
- Oracle JDK,或者
- OpenJDK
- Apache Maven,3.x版本。
- 验证您是否正在使用最新的proto绑定
设置环境
克隆Java SDK存储库并进入该存储库。
git clone https://github.com/dapr/java-sdk.git
cd java-sdk
运行以下命令使用 Dapr Java SDK 安装运行此工作流示例所需的依赖项。
mvn clean install
从Java SDK根目录中,导航到Dapr Workflow示例。
cd examples
运行DemoWorkflowWorker
DemoWorkflowWorker
类在 Dapr 的工作流运行时引擎中注册了 DemoWorkflow
的实现。 在DemoWorkflowWorker.java
文件中,您可以找到DemoWorkflowWorker
类和main
方法:
public class DemoWorkflowWorker {
public static void main(String[] args) throws Exception {
// Register the Workflow with the runtime.
WorkflowRuntime.getInstance().registerWorkflow(DemoWorkflow.class);
System.out.println("Start workflow runtime");
WorkflowRuntime.getInstance().startAndBlock();
System.exit(0);
}
}
在上面的代码中:
WorkflowRuntime.getInstance().registerWorkflow()
在 Dapr Workflow 运行时中将DemoWorkflow
注册为一个工作流。WorkflowRuntime.getInstance().start()
构建并启动 Dapr Workflow 运行时内的引擎。
在终端中执行以下命令来启动 DemoWorkflowWorker
:
dapr run --app-id demoworkflowworker --resources-path ./components/workflows --dapr-grpc-port 50001 -- java -jar target/dapr-java-sdk-examples-exec.jar io.dapr.examples.workflows.DemoWorkflowWorker
预期输出
You're up and running! Both Dapr and your app logs will appear here.
...
== APP == Start workflow runtime
== APP == Sep 13, 2023 9:02:03 AM com.microsoft.durabletask.DurableTaskGrpcWorker startAndBlock
== APP == INFO: Durable Task worker is connecting to sidecar at 127.0.0.1:50001.
运行 DemoWorkflowClient
DemoWorkflowClient
启动已在 Dapr 中注册的工作流实例。
public class DemoWorkflowClient {
// ...
public static void main(String[] args) throws InterruptedException {
DaprWorkflowClient client = new DaprWorkflowClient();
try (client) {
String separatorStr = "*******";
System.out.println(separatorStr);
String instanceId = client.scheduleNewWorkflow(DemoWorkflow.class, "input data");
System.out.printf("Started new workflow instance with random ID: %s%n", instanceId);
System.out.println(separatorStr);
System.out.println("**GetInstanceMetadata:Running Workflow**");
WorkflowInstanceStatus workflowMetadata = client.getInstanceState(instanceId, true);
System.out.printf("Result: %s%n", workflowMetadata);
System.out.println(separatorStr);
System.out.println("**WaitForInstanceStart**");
try {
WorkflowInstanceStatus waitForInstanceStartResult =
client.waitForInstanceStart(instanceId, Duration.ofSeconds(60), true);
System.out.printf("Result: %s%n", waitForInstanceStartResult);
} catch (TimeoutException ex) {
System.out.printf("waitForInstanceStart has an exception:%s%n", ex);
}
System.out.println(separatorStr);
System.out.println("**SendExternalMessage**");
client.raiseEvent(instanceId, "TestEvent", "TestEventPayload");
System.out.println(separatorStr);
System.out.println("** Registering parallel Events to be captured by allOf(t1,t2,t3) **");
client.raiseEvent(instanceId, "event1", "TestEvent 1 Payload");
client.raiseEvent(instanceId, "event2", "TestEvent 2 Payload");
client.raiseEvent(instanceId, "event3", "TestEvent 3 Payload");
System.out.printf("Events raised for workflow with instanceId: %s\n", instanceId);
System.out.println(separatorStr);
System.out.println("** Registering Event to be captured by anyOf(t1,t2,t3) **");
client.raiseEvent(instanceId, "e2", "event 2 Payload");
System.out.printf("Event raised for workflow with instanceId: %s\n", instanceId);
System.out.println(separatorStr);
System.out.println("**WaitForInstanceCompletion**");
try {
WorkflowInstanceStatus waitForInstanceCompletionResult =
client.waitForInstanceCompletion(instanceId, Duration.ofSeconds(60), true);
System.out.printf("Result: %s%n", waitForInstanceCompletionResult);
} catch (TimeoutException ex) {
System.out.printf("waitForInstanceCompletion has an exception:%s%n", ex);
}
System.out.println(separatorStr);
System.out.println("**purgeInstance**");
boolean purgeResult = client.purgeInstance(instanceId);
System.out.printf("purgeResult: %s%n", purgeResult);
System.out.println(separatorStr);
System.out.println("**raiseEvent**");
String eventInstanceId = client.scheduleNewWorkflow(DemoWorkflow.class);
System.out.printf("Started new workflow instance with random ID: %s%n", eventInstanceId);
client.raiseEvent(eventInstanceId, "TestException", null);
System.out.printf("Event raised for workflow with instanceId: %s\n", eventInstanceId);
System.out.println(separatorStr);
String instanceToTerminateId = "terminateMe";
client.scheduleNewWorkflow(DemoWorkflow.class, null, instanceToTerminateId);
System.out.printf("Started new workflow instance with specified ID: %s%n", instanceToTerminateId);
TimeUnit.SECONDS.sleep(5);
System.out.println("Terminate this workflow instance manually before the timeout is reached");
client.terminateWorkflow(instanceToTerminateId, null);
System.out.println(separatorStr);
String restartingInstanceId = "restarting";
client.scheduleNewWorkflow(DemoWorkflow.class, null, restartingInstanceId);
System.out.printf("Started new workflow instance with ID: %s%n", restartingInstanceId);
System.out.println("Sleeping 30 seconds to restart the workflow");
TimeUnit.SECONDS.sleep(30);
System.out.println("**SendExternalMessage: RestartEvent**");
client.raiseEvent(restartingInstanceId, "RestartEvent", "RestartEventPayload");
System.out.println("Sleeping 30 seconds to terminate the eternal workflow");
TimeUnit.SECONDS.sleep(30);
client.terminateWorkflow(restartingInstanceId, null);
}
System.out.println("Exiting DemoWorkflowClient.");
System.exit(0);
}
}
在第二个终端窗口中,通过运行以下命令来启动工作流:
java -jar target/dapr-java-sdk-examples-exec.jar io.dapr.examples.workflows.DemoWorkflowClient
预期输出
*******
Started new workflow instance with random ID: 0b4cc0d5-413a-4c1c-816a-a71fa24740d4
*******
**GetInstanceMetadata:Running Workflow**
Result: [Name: 'io.dapr.examples.workflows.DemoWorkflow', ID: '0b4cc0d5-413a-4c1c-816a-a71fa24740d4', RuntimeStatus: RUNNING, CreatedAt: 2023-09-13T13:02:30.547Z, LastUpdatedAt: 2023-09-13T13:02:30.699Z, Input: '"input data"', Output: '']
*******
**WaitForInstanceStart**
Result: [Name: 'io.dapr.examples.workflows.DemoWorkflow', ID: '0b4cc0d5-413a-4c1c-816a-a71fa24740d4', RuntimeStatus: RUNNING, CreatedAt: 2023-09-13T13:02:30.547Z, LastUpdatedAt: 2023-09-13T13:02:30.699Z, Input: '"input data"', Output: '']
*******
**SendExternalMessage**
*******
** Registering parallel Events to be captured by allOf(t1,t2,t3) **
Events raised for workflow with instanceId: 0b4cc0d5-413a-4c1c-816a-a71fa24740d4
*******
** Registering Event to be captured by anyOf(t1,t2,t3) **
Event raised for workflow with instanceId: 0b4cc0d5-413a-4c1c-816a-a71fa24740d4
*******
**WaitForInstanceCompletion**
Result: [Name: 'io.dapr.examples.workflows.DemoWorkflow', ID: '0b4cc0d5-413a-4c1c-816a-a71fa24740d4', RuntimeStatus: FAILED, CreatedAt: 2023-09-13T13:02:30.547Z, LastUpdatedAt: 2023-09-13T13:02:55.054Z, Input: '"input data"', Output: '']
*******
**purgeInstance**
purgeResult: true
*******
**raiseEvent**
Started new workflow instance with random ID: 7707d141-ebd0-4e54-816e-703cb7a52747
Event raised for workflow with instanceId: 7707d141-ebd0-4e54-816e-703cb7a52747
*******
Started new workflow instance with specified ID: terminateMe
Terminate this workflow instance manually before the timeout is reached
*******
Started new workflow instance with ID: restarting
Sleeping 30 seconds to restart the workflow
**SendExternalMessage: RestartEvent**
Sleeping 30 seconds to terminate the eternal workflow
Exiting DemoWorkflowClient.
发生了什么?
- 当你运行
dapr run
时,工作流工作者会将工作流(DemoWorkflow
)及其活动注册到 Dapr 工作流引擎中。 - 当你运行
java
时,工作流客户端使用以下活动启动了工作流实例。 您可以在您运行dapr run
的终端中跟踪输出。- 工作流程已启动,创建三个并行任务,并等待它们完成。
- 工作流客户端调用该活动,并将"Hello Activity"消息发送到控制台。
- 工作流超时并被清除。
- 工作流客户端使用一个随机ID启动一个新的工作流实例,使用另一个名为
terminateMe
的工作流实例终止它,并重新启动一个名为restarting
的工作流实例。 - 然后退出工作流客户端。
下一步
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