文档 AWS SDK 示例 GitHub 存储库中还有更多 [S AWS DK 示例](https://github.com/awsdocs/aws-doc-sdk-examples)。

本文属于机器翻译版本。若本译文内容与英语原文存在差异，则一律以英文原文为准。

# 与 AWS SDK `DescribePipelineExecution` 配合使用
<a name="sagemaker_example_sagemaker_DescribePipelineExecution_section"></a>

以下代码示例演示如何使用 `DescribePipelineExecution`。

操作示例是大型程序的代码摘录，必须在上下文中运行。在以下代码示例中，您可以查看此操作的上下文：
+  [开始使用地理空间作业和管道](sagemaker_example_sagemaker_Scenario_Pipelines_section.md) 

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#### [ .NET ]

**适用于 .NET 的 SDK**  
 还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/dotnetv3/SageMaker#code-examples)中查找完整示例，了解如何进行设置和运行。

```
    /// <summary>
    /// Check the status of a run.
    /// </summary>
    /// <param name="pipelineExecutionArn">The ARN.</param>
    /// <returns>The status of the pipeline.</returns>
    public async Task<PipelineExecutionStatus> CheckPipelineExecutionStatus(string pipelineExecutionArn)
    {
        var describeResponse = await _amazonSageMaker.DescribePipelineExecutionAsync(
            new DescribePipelineExecutionRequest()
            {
                PipelineExecutionArn = pipelineExecutionArn
            });

        return describeResponse.PipelineExecutionStatus;
    }
```
+  有关 API 的详细信息，请参阅 *适用于 .NET 的 AWS SDK API 参考[DescribePipelineExecution](https://docs.aws.amazon.com/goto/DotNetSDKV3/sagemaker-2017-07-24/DescribePipelineExecution)*中的。

------
#### [ Java ]

**适用于 Java 的 SDK 2.x**  
 还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/usecases/workflow_sagemaker_pipes#code-examples)中查找完整示例，了解如何进行设置和运行。

```
    // Check the status of a pipeline execution.
    public static void waitForPipelineExecution(SageMakerClient sageMakerClient, String executionArn)
            throws InterruptedException {
        String status;
        int index = 0;
        do {
            DescribePipelineExecutionRequest pipelineExecutionRequest = DescribePipelineExecutionRequest.builder()
                    .pipelineExecutionArn(executionArn)
                    .build();

            DescribePipelineExecutionResponse response = sageMakerClient
                    .describePipelineExecution(pipelineExecutionRequest);
            status = response.pipelineExecutionStatusAsString();
            System.out.println(index + ". The Status of the pipeline is " + status);
            TimeUnit.SECONDS.sleep(4);
            index++;
        } while ("Executing".equals(status));
        System.out.println("Pipeline finished with status " + status);
    }
```
+  有关 API 的详细信息，请参阅 *AWS SDK for Java 2.x API 参考[DescribePipelineExecution](https://docs.aws.amazon.com/goto/SdkForJavaV2/sagemaker-2017-07-24/DescribePipelineExecution)*中的。

------
#### [ JavaScript ]

**适用于 JavaScript (v3) 的软件开发工具包**  
 还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/sagemaker#code-examples)中查找完整示例，了解如何进行设置和运行。
等待 A SageMaker I 管道执行成功、失败或停止。  

```
/**
 * Poll the executing pipeline until the status is 'SUCCEEDED', 'STOPPED', or 'FAILED'.
 * @param {{ arn: string, sagemakerClient: import('@aws-sdk/client-sagemaker').SageMakerClient, wait: (ms: number) => Promise<void>}} props
 */
export async function waitForPipelineComplete({ arn, sagemakerClient, wait }) {
  const command = new DescribePipelineExecutionCommand({
    PipelineExecutionArn: arn,
  });

  let complete = false;
  const intervalInSeconds = 15;
  const COMPLETION_STATUSES = [
    PipelineExecutionStatus.FAILED,
    PipelineExecutionStatus.STOPPED,
    PipelineExecutionStatus.SUCCEEDED,
  ];

  do {
    const { PipelineExecutionStatus: status, FailureReason } =
      await sagemakerClient.send(command);

    complete = COMPLETION_STATUSES.includes(status);

    if (!complete) {
      console.log(
        `Pipeline is ${status}. Waiting ${intervalInSeconds} seconds before checking again.`,
      );
      await wait(intervalInSeconds);
    } else if (status === PipelineExecutionStatus.FAILED) {
      throw new Error(`Pipeline failed because: ${FailureReason}`);
    } else if (status === PipelineExecutionStatus.STOPPED) {
      throw new Error("Pipeline was forcefully stopped.");
    } else {
      console.log(`Pipeline execution ${status}.`);
    }
  } while (!complete);
}
```
+  有关 API 的详细信息，请参阅 *适用于 JavaScript 的 AWS SDK API 参考[DescribePipelineExecution](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/sagemaker/command/DescribePipelineExecutionCommand)*中的。

------
#### [ Kotlin ]

**适用于 Kotlin 的 SDK**  
 还有更多相关信息 GitHub。在 [AWS 代码示例存储库](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/kotlin/usecases/workflow_sagemaker_pipes#code-examples)中查找完整示例，了解如何进行设置和运行。

```
suspend fun waitForPipelineExecution(executionArn: String?) {
    var status: String
    var index = 0
    do {
        val pipelineExecutionRequest = DescribePipelineExecutionRequest {
            pipelineExecutionArn = executionArn
        }

        SageMakerClient { region = "us-west-2" }.use { sageMakerClient ->
            val response = sageMakerClient.describePipelineExecution(pipelineExecutionRequest)
            status = response.pipelineExecutionStatus.toString()
            println("$index. The status of the pipeline is $status")
            TimeUnit.SECONDS.sleep(4)
            index++
        }
    } while ("Executing" == status)
    println("Pipeline finished with status $status")
}
```
+  有关 API 的详细信息，请参阅适用[DescribePipelineExecution](https://sdk.amazonaws.com/kotlin/api/latest/index.html)于 K *otlin 的AWS SDK API 参考*。

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