使用 Java 应用管理 Azure Data Lake Analytics

项目
12/20/2023

重要

Azure Data Lake Analytics已于 2024 年 2 月 29 日停用。通过此公告了解更多信息。

对于数据分析，你的组织可以使用 Azure Synapse Analytics 或 Microsoft Fabric。

本文介绍如何通过使用 Azure Java SDK 编写的应用管理 Azure Data Lake Analytics 帐户、数据源、用户和作业。

先决条件

Java 开发工具包 (JDK) 8（使用 Java 1.8 版）。
IntelliJ 或其他合适的 Java 开发环境。本文档中的说明使用 IntelliJ。
创建Microsoft Entra应用程序并检索其客户端 ID、租户 ID 和密钥。有关Microsoft Entra应用程序以及如何获取客户端 ID 的说明，请参阅使用门户创建 Active Directory 应用程序和服务主体。创建应用程序并生成密钥后，可从门户获取回复 URI 和密钥。

使用 Microsoft Entra ID 进行身份验证

以下代码片段提供了非交互式身份验证的代码，在这种验证方式中，应用程序提供自己的凭据。

创建 Java 应用程序

打开 IntelliJ，使用“命令行应用”模板创建 Java 项目。
右键单击屏幕左侧的项目，然后选择“ 添加框架支持”。选择 “Maven ”，然后选择“ 确定”。
打开新创建的 "pom.xml" 文件，并在 </version> tag and the </project> 标记之间添加以下文本段：

<dependencies>
    <dependency>
      <groupId>com.azure.resourcemanager</groupId>
      <artifactId>azure-resourcemanager-datalakeanalytics</artifactId>
      <version>1.0.0-beta.1</version>
    </dependency>
    <dependency>
      <groupId>com.azure.resourcemanager</groupId>
      <artifactId>azure-resourcemanager-datalakestore</artifactId>
      <version>1.0.0-beta.1</version>
    </dependency>
    <dependency>
      <groupId>com.azure</groupId>
      <artifactId>azure-storage-file-datalake</artifactId>
      <version>12.7.2</version>
    </dependency>
    <dependency>
      <groupId>com.azure</groupId>
      <artifactId>azure-identity</artifactId>
      <version>1.4.1</version>
    </dependency>
</dependencies>

转到“文件”>“设置”>“生成”>“执行”>“部署”。选择“生成工具”>“Maven”>“导入”。然后选中“自动导入 Maven 项目”。

打开 Main.java，将现有代码块替换为以下代码：

import com.azure.core.credential.TokenCredential;
import com.azure.core.management.AzureEnvironment;
import com.azure.core.management.profile.AzureProfile;
import com.azure.identity.ClientSecretCredential;
import com.azure.identity.ClientSecretCredentialBuilder;
import com.azure.resourcemanager.datalakeanalytics.DataLakeAnalyticsManager;
import com.azure.resourcemanager.datalakeanalytics.models.DataLakeAnalyticsAccount;
import com.azure.resourcemanager.datalakestore.DataLakeStoreManager;
import com.azure.resourcemanager.datalakestore.models.DataLakeStoreAccount;
import com.azure.storage.file.datalake.DataLakeFileClient;
import com.azure.storage.file.datalake.DataLakeFileSystemClient;
import com.azure.storage.file.datalake.DataLakeServiceClient;
import com.azure.storage.file.datalake.DataLakeServiceClientBuilder;
import com.azure.storage.file.datalake.models.PathAccessControl;
import com.azure.storage.file.datalake.models.PathPermissions;

import java.io.ByteArrayInputStream;
import java.io.FileOutputStream;
import java.io.IOException;
import java.io.OutputStream;
import java.util.Collections;
import java.util.UUID;

public class Main {
    private static String adlsAccountName;
    private static String adlaAccountName;
    private static String resourceGroupName;
    private static String location;

    private static String tenantId;
    private static String subscriptionId;
    private static String clientId;
    private static String clientSecret;
    private static String fileSystemName;
    private static String localFolderPath;

    private static DataLakeAnalyticsManager analyticsManager;
    private static DataLakeStoreManager storeManager;
    private static DataLakeStoreAccount storeAccount;
    private static DataLakeAnalyticsAccount analyticsAccount;
    private static DataLakeServiceClient serviceClient;
    private static DataLakeFileSystemClient fileSystemClient;
    private static DataLakeFileClient fileClient;

    public static void main(String[] args) throws Exception {
        adlsAccountName = "<DATA-LAKE-STORE-NAME>";
        adlaAccountName = "<DATA-LAKE-ANALYTICS-NAME>";
        resourceGroupName = "<RESOURCE-GROUP-NAME>";
        location = "East US 2";

        tenantId = "<TENANT-ID>";
        subscriptionId = "<SUBSCRIPTION-ID>";
        clientId = "<CLIENT-ID>";
        clientSecret = "<CLIENT-SECRET>";
        fileSystemName = "<DATALAKE-FILE-SYSTEM-NAME>";

        localFolderPath = "C:\\local_path\\";

        // ----------------------------------------
        // Authenticate
        // ----------------------------------------
        AzureProfile profile = new AzureProfile(AzureEnvironment.AZURE);
        ClientSecretCredential creds = new ClientSecretCredentialBuilder()
                .clientId(clientId).tenantId(tenantId).clientSecret(clientSecret)
                .authorityHost("https://login.microsoftonline.com/" + tenantId + "/oauth2/token")
                .build();
        setupClients(creds, profile);

        // ----------------------------------------
        // List Data Lake Store and Analytics accounts that this app can access
        // ----------------------------------------
        System.out.println(String.format("All ADL Store accounts that this app can access in subscription %s:", subscriptionId));
        storeManager.accounts().list().forEach(acct -> System.out.println(acct.name()));

        System.out.println(String.format("All ADL Analytics accounts that this app can access in subscription %s:", subscriptionId));
        analyticsManager.accounts().list().forEach(acct -> System.out.println(acct.name()));
        waitForNewline("Accounts displayed.", "Creating files.");

        // ----------------------------------------
        // Create a file in Data Lake Store: input1.csv
        // ----------------------------------------
        createFile("input1.csv", "123,abc", true);
        waitForNewline("File created.", "Submitting a job.");

        // ----------------------------------------
        // Submit a job to Data Lake Analytics
        // ----------------------------------------
        String script = "@input = EXTRACT Row1 string, Row2 string FROM \"/input1.csv\" USING Extractors.Csv(); OUTPUT @input TO @\"/output1.csv\" USING Outputters.Csv();";
        UUID jobId = submitJobByScript(script, "testJob", creds);
        waitForNewline("Job submitted.", "Getting job status.");

        // ----------------------------------------
        // Download job output from Data Lake Store
        // ----------------------------------------
        downloadFile("output1.csv", localFolderPath + "output1.csv");
        waitForNewline("Job output downloaded.", "Deleting file.");

        deleteFile("output1.csv");
        waitForNewline("File deleted.", "Done.");
    }

    public static void setupClients(TokenCredential creds, AzureProfile profile) {

        analyticsManager = DataLakeAnalyticsManager.authenticate(creds, profile);

        storeManager = DataLakeStoreManager.authenticate(creds, profile);

        createAccounts();

        serviceClient = new DataLakeServiceClientBuilder().endpoint(storeAccount.endpoint()).credential(creds).buildClient();

        fileSystemClient = serviceClient.createFileSystem(fileSystemName);

    }

    public static void waitForNewline(String reason, String nextAction) {
        if (nextAction == null)
            nextAction = "";

        System.out.println(reason + "\r\nPress ENTER to continue...");
        try {
            System.in.read();
        } catch (Exception e) {
        }

        if (!nextAction.isEmpty()) {
            System.out.println(nextAction);
        }
    }

    // Create accounts
    public static void createAccounts() {
        // Create ADLS account
        storeAccount = storeManager.accounts().define(adlsAccountName)
                .withRegion(location)
                .withExistingResourceGroup(resourceGroupName)
                .create();

        analyticsAccount = analyticsManager.accounts().define(adlaAccountName)
                .withRegion(location).withExistingResourceGroup(resourceGroupName)
                .withDefaultDataLakeStoreAccount(adlsAccountName)
                .withDataLakeStoreAccounts(Collections.EMPTY_LIST)
                .create();
    }

    // Create a file
    public static void createFile(String path, String contents, boolean force) {
        byte[] bytesContents = contents.getBytes();

        DataLakeFileClient fileClient = fileSystemClient.createFile(path,force);
        PathAccessControl accessControl = fileClient.getAccessControl();
        fileClient.setPermissions(PathPermissions.parseOctal("744"), accessControl.getGroup(), accessControl.getOwner());
        fileClient.upload(new ByteArrayInputStream(bytesContents), bytesContents.length);
    }

    // Delete a file
    public static void deleteFile(String filePath) {
        fileSystemClient.getFileClient(filePath).delete();
    }

    // Download a file
    private static void downloadFile(String srcPath, String destPath) throws IOException {

        fileClient = fileSystemClient.getFileClient(srcPath);
        OutputStream outputStream = new FileOutputStream(destPath);
        fileClient.read(outputStream);
        outputStream.close();
    }

}

为代码片段中调用的参数提供值：

adlsAccountName
adlaAccountName
resourceGroupName
location
tenantId
subscriptionId
clientId
clientSecret
fileSystemName
localFolderPath

后续步骤

若要了解 U-SQL，请参阅 Get started with Azure Data Lake Analytics U-SQL language（Azure Data Lake Analytics U-SQL 语言入门）和 U-SQL language reference（U-SQL 语言参考）。
有关管理任务，请参阅使用 Azure 门户管理 Azure Data Lake Analytics。
有关 Data Lake Analytics 的概述，请参阅 Azure Data Lake Analytics 概述。

通过

使用 Java 应用管理 Azure Data Lake Analytics

先决条件

使用 Microsoft Entra ID 进行身份验证

创建 Java 应用程序

后续步骤

其他资源