Invio di un job Hadoop FS

Invia un job Hadoop FS a un cluster Dataproc.

Esempio di codice

Java

Prima di provare questo esempio, segui le istruzioni di configurazione di Java disponibili nella guida rapida di Dataproc sull'utilizzo delle librerie client. Per maggiori informazioni, consulta la documentazione di riferimento dell'API Dataproc Java.

Per eseguire l'autenticazione su Dataproc, configura le Credenziali predefinite dell'applicazione. Per maggiori informazioni, consulta Configurare l'autenticazione per un ambiente di sviluppo locale.

import com.google.api.gax.longrunning.OperationFuture;
import com.google.cloud.dataproc.v1.HadoopJob;
import com.google.cloud.dataproc.v1.Job;
import com.google.cloud.dataproc.v1.JobControllerClient;
import com.google.cloud.dataproc.v1.JobControllerSettings;
import com.google.cloud.dataproc.v1.JobMetadata;
import com.google.cloud.dataproc.v1.JobPlacement;
import com.google.cloud.storage.Blob;
import com.google.cloud.storage.Storage;
import com.google.cloud.storage.StorageOptions;
import java.io.IOException;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.concurrent.ExecutionException;
import java.util.regex.Matcher;
import java.util.regex.Pattern;

public class SubmitHadoopFsJob {

  public static ArrayList<String> stringToList(String s) {
    return new ArrayList<>(Arrays.asList(s.split(" ")));
  }

  public static void submitHadoopFsJob() throws IOException, InterruptedException {
    // TODO(developer): Replace these variables before running the sample.
    String projectId = "your-project-id";
    String region = "your-project-region";
    String clusterName = "your-cluster-name";
    String hadoopFsQuery = "your-hadoop-fs-query";
    submitHadoopFsJob(projectId, region, clusterName, hadoopFsQuery);
  }

  public static void submitHadoopFsJob(
      String projectId, String region, String clusterName, String hadoopFsQuery)
      throws IOException, InterruptedException {
    String myEndpoint = String.format("%s-dataproc.googleapis.com:443", region);

    // Configure the settings for the job controller client.
    JobControllerSettings jobControllerSettings =
        JobControllerSettings.newBuilder().setEndpoint(myEndpoint).build();

    // Create a job controller client with the configured settings. Using a try-with-resources
    // closes the client,
    // but this can also be done manually with the .close() method.
    try (JobControllerClient jobControllerClient =
        JobControllerClient.create(jobControllerSettings)) {

      // Configure cluster placement for the job.
      JobPlacement jobPlacement = JobPlacement.newBuilder().setClusterName(clusterName).build();

      // Configure Hadoop job settings. The HadoopFS query is set here.
      HadoopJob hadoopJob =
          HadoopJob.newBuilder()
              .setMainClass("org.apache.hadoop.fs.FsShell")
              .addAllArgs(stringToList(hadoopFsQuery))
              .build();

      Job job = Job.newBuilder().setPlacement(jobPlacement).setHadoopJob(hadoopJob).build();

      // Submit an asynchronous request to execute the job.
      OperationFuture<Job, JobMetadata> submitJobAsOperationAsyncRequest =
          jobControllerClient.submitJobAsOperationAsync(projectId, region, job);

      Job response = submitJobAsOperationAsyncRequest.get();

      // Print output from Google Cloud Storage.
      Matcher matches =
          Pattern.compile("gs://(.*?)/(.*)").matcher(response.getDriverOutputResourceUri());
      matches.matches();

      Storage storage = StorageOptions.getDefaultInstance().getService();
      Blob blob = storage.get(matches.group(1), String.format("%s.000000000", matches.group(2)));

      System.out.println(
          String.format("Job finished successfully: %s", new String(blob.getContent())));

    } catch (ExecutionException e) {
      // If the job does not complete successfully, print the error message.
      System.err.println(String.format("submitHadoopFSJob: %s ", e.getMessage()));
    }
  }
}

Passaggi successivi

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