AWS 文档 AWS SDK示例 GitHub 存储库中还有更多SDK示例
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与 AWS SDK或DescribePipelineExecution
一起使用 CLI
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:
- .NET
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- AWS SDK for .NET
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注意
还有更多相关信息 GitHub。查找完整示例,学习如何在 AWS 代码示例存储库
中进行设置和运行。 /// <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; }
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有关API详细信息,请参阅 “AWS SDK for .NET API参考 DescribePipelineExecution” 中的。
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- Java
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- SDK适用于 Java 2.x
-
注意
还有更多相关信息 GitHub。查找完整示例,学习如何在 AWS 代码示例存储库
中进行设置和运行。 // 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); }
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有关API详细信息,请参阅 “AWS SDK for Java 2.x API参考 DescribePipelineExecution” 中的。
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- JavaScript
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- SDK对于 JavaScript (v3)
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注意
还有更多相关信息 GitHub。查找完整示例,学习如何在 AWS 代码示例存储库
中进行设置和运行。 等待 SageMaker 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; let 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 ${status}.`); } } while (!complete); }
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有关API详细信息,请参阅 “AWS SDK for JavaScript API参考 DescribePipelineExecution” 中的。
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- Kotlin
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- SDK对于 Kotlin 来说
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注意
还有更多相关信息 GitHub。查找完整示例,学习如何在 AWS 代码示例存储库
中进行设置和运行。 suspend fun waitForPipelineExecution(executionArn: String?) { var status: String var index = 0 do { val pipelineExecutionRequest = DescribePipelineExecutionRequest { pipelineExecutionArn = executionArn } SageMakerClient { region = "us-west-2" }.use { sageMakerClient -> val response = sageMakerClient.describePipelineExecution(pipelineExecutionRequest) status = response.pipelineExecutionStatus.toString() println("$index. The status of the pipeline is $status") TimeUnit.SECONDS.sleep(4) index++ } } while ("Executing" == status) println("Pipeline finished with status $status") }
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有关API详细信息,请参阅DescribePipelineExecution
中的 Kotlin AWS SDK API 参考。
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DeletePipeline
DescribeTrainingJob