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CreateDatasetImportJob
搭配使用 Amazon SDK
以下代码示例演示如何使用 CreateDatasetImportJob
。
- Java
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- SDK适用于 Java 2.x
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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 Amazon 代码示例存储库
中进行设置和运行。 public static String createPersonalizeDatasetImportJob(PersonalizeClient personalizeClient, String jobName, String datasetArn, String s3BucketPath, String roleArn) { long waitInMilliseconds = 60 * 1000; String status; String datasetImportJobArn; try { DataSource importDataSource = DataSource.builder() .dataLocation(s3BucketPath) .build(); CreateDatasetImportJobRequest createDatasetImportJobRequest = CreateDatasetImportJobRequest.builder() .datasetArn(datasetArn) .dataSource(importDataSource) .jobName(jobName) .roleArn(roleArn) .build(); datasetImportJobArn = personalizeClient.createDatasetImportJob(createDatasetImportJobRequest) .datasetImportJobArn(); DescribeDatasetImportJobRequest describeDatasetImportJobRequest = DescribeDatasetImportJobRequest.builder() .datasetImportJobArn(datasetImportJobArn) .build(); long maxTime = Instant.now().getEpochSecond() + 3 * 60 * 60; while (Instant.now().getEpochSecond() < maxTime) { DatasetImportJob datasetImportJob = personalizeClient .describeDatasetImportJob(describeDatasetImportJobRequest) .datasetImportJob(); status = datasetImportJob.status(); System.out.println("Dataset import job status: " + status); if (status.equals("ACTIVE") || status.equals("CREATE FAILED")) { break; } try { Thread.sleep(waitInMilliseconds); } catch (InterruptedException e) { System.out.println(e.getMessage()); } } return datasetImportJobArn; } catch (PersonalizeException e) { System.out.println(e.awsErrorDetails().errorMessage()); } return ""; }
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有关API详细信息,请参阅 “Amazon SDK for Java 2.x API参考 CreateDatasetImportJob” 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 Amazon 代码示例存储库
中进行设置和运行。 // Get service clients module and commands using ES6 syntax. import { CreateDatasetImportJobCommand } from "@aws-sdk/client-personalize"; import { personalizeClient } from "./libs/personalizeClients.js"; // Or, create the client here. // const personalizeClient = new PersonalizeClient({ region: "REGION"}); // Set the dataset import job parameters. export const datasetImportJobParam = { datasetArn: "DATASET_ARN" /* required */, dataSource: { /* required */ dataLocation: "S3_PATH", }, jobName: "NAME" /* required */, roleArn: "ROLE_ARN" /* required */, }; export const run = async () => { try { const response = await personalizeClient.send( new CreateDatasetImportJobCommand(datasetImportJobParam), ); console.log("Success", response); return response; // For unit tests. } catch (err) { console.log("Error", err); } }; run();
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有关API详细信息,请参阅 “Amazon SDK for JavaScript API参考 CreateDatasetImportJob” 中的。
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有关 Amazon SDK开发者指南和代码示例的完整列表,请参阅将 Amazon Personalize 与 Amazon SDK。本主题还包括有关入门的信息以及有关先前SDK版本的详细信息。
CreateDatasetGroup
CreateEventTracker