Gunakan GetJobRuns dengan AWS SDKatau CLI

Contoh kode berikut menunjukkan cara menggunakanGetJobRuns.

Contoh tindakan adalah kutipan kode dari program yang lebih besar dan harus dijalankan dalam konteks. Anda dapat melihat tindakan ini dalam konteks dalam contoh kode berikut:

• Pelajari dasar-dasarnya

.NET

AWS SDK for .NET

catatan

Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankan di AWS Repositori Contoh Kode.

    /// <summary>
    /// Get information about all AWS Glue runs of a specific job.
    /// </summary>
    /// <param name="jobName">The name of the job.</param>
    /// <returns>A list of JobRun objects.</returns>
    public async Task<List<JobRun>> GetJobRunsAsync(string jobName)
    {
        var jobRuns = new List<JobRun>();

        var request = new GetJobRunsRequest
        {
            JobName = jobName,
        };

        // No need to loop to get all the log groups--the SDK does it for us behind the scenes
        var paginatorForJobRuns =
            _amazonGlue.Paginators.GetJobRuns(request);

        await foreach (var response in paginatorForJobRuns.Responses)
        {
            response.JobRuns.ForEach(jobRun =>
            {
                jobRuns.Add(jobRun);
            });
        }

        return jobRuns;
    }

• Untuk API detailnya, lihat GetJobRunsdi AWS SDK for .NET APIReferensi.

C++

SDKuntuk C ++

catatan

Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankan di AWS Repositori Contoh Kode.

        Aws::Client::ClientConfiguration clientConfig;
        // Optional: Set to the AWS Region in which the bucket was created (overrides config file).
        // clientConfig.region = "us-east-1";

    Aws::Glue::GlueClient client(clientConfig);

        Aws::Glue::Model::GetJobRunsRequest getJobRunsRequest;
        getJobRunsRequest.SetJobName(jobName);

        Aws::String nextToken; // Used for pagination.
        std::vector<Aws::Glue::Model::JobRun> allJobRuns;
        do {
            if (!nextToken.empty()) {
                getJobRunsRequest.SetNextToken(nextToken);
            }
            Aws::Glue::Model::GetJobRunsOutcome jobRunsOutcome = client.GetJobRuns(
                    getJobRunsRequest);

            if (jobRunsOutcome.IsSuccess()) {
                const std::vector<Aws::Glue::Model::JobRun> &jobRuns = jobRunsOutcome.GetResult().GetJobRuns();
                allJobRuns.insert(allJobRuns.end(), jobRuns.begin(), jobRuns.end());

                nextToken = jobRunsOutcome.GetResult().GetNextToken();
            }
            else {
                std::cerr << "Error getting job runs. "
                          << jobRunsOutcome.GetError().GetMessage()
                          << std::endl;
                break;
            }
        } while (!nextToken.empty());

• Untuk API detailnya, lihat GetJobRunsdi AWS SDK for C++ APIReferensi.

CLI

AWS CLI

Untuk mendapatkan informasi tentang semua pekerjaan yang dijalankan untuk suatu pekerjaan

get-job-runsContoh berikut mengambil informasi tentang pekerjaan berjalan untuk suatu pekerjaan.

aws glue get-job-runs \
    --job-name "my-testing-job"

Output:

{
    "JobRuns": [
        {
            "Id": "jr_012e176506505074d94d761755e5c62538ee1aad6f17d39f527e9140cf0c9a5e",
            "Attempt": 0,
            "JobName": "my-testing-job",
            "StartedOn": 1602873931.255,
            "LastModifiedOn": 1602874075.985,
            "CompletedOn": 1602874075.985,
            "JobRunState": "SUCCEEDED",
            "Arguments": {
                "--enable-continuous-cloudwatch-log": "true",
                "--enable-metrics": "",
                "--enable-spark-ui": "true",
                "--job-bookmark-option": "job-bookmark-enable",
                "--spark-event-logs-path": "s3://aws-glue-assets-111122223333-us-east-1/sparkHistoryLogs/"
            },
            "PredecessorRuns": [],
            "AllocatedCapacity": 10,
            "ExecutionTime": 117,
            "Timeout": 2880,
            "MaxCapacity": 10.0,
            "WorkerType": "G.1X",
            "NumberOfWorkers": 10,
            "LogGroupName": "/aws-glue/jobs",
            "GlueVersion": "2.0"
        },
        {
            "Id": "jr_03cc19ddab11c4e244d3f735567de74ff93b0b3ef468a713ffe73e53d1aec08f_attempt_2",
            "Attempt": 2,
            "PreviousRunId": "jr_03cc19ddab11c4e244d3f735567de74ff93b0b3ef468a713ffe73e53d1aec08f_attempt_1",
            "JobName": "my-testing-job",
            "StartedOn": 1602811168.496,
            "LastModifiedOn": 1602811282.39,
            "CompletedOn": 1602811282.39,
            "JobRunState": "FAILED",
            "ErrorMessage": "An error occurred while calling o122.pyWriteDynamicFrame.
                Access Denied (Service: Amazon S3; Status Code: 403; Error Code: AccessDenied;
                Request ID: 021AAB703DB20A2D;
                S3 Extended Request ID: teZk24Y09TkXzBvMPG502L5VJBhe9DJuWA9/TXtuGOqfByajkfL/Tlqt5JBGdEGpigAqzdMDM/U=)",
            "PredecessorRuns": [],
            "AllocatedCapacity": 10,
            "ExecutionTime": 110,
            "Timeout": 2880,
            "MaxCapacity": 10.0,
            "WorkerType": "G.1X",
            "NumberOfWorkers": 10,
            "LogGroupName": "/aws-glue/jobs",
            "GlueVersion": "2.0"
        },
        {
            "Id": "jr_03cc19ddab11c4e244d3f735567de74ff93b0b3ef468a713ffe73e53d1aec08f_attempt_1",
            "Attempt": 1,
            "PreviousRunId": "jr_03cc19ddab11c4e244d3f735567de74ff93b0b3ef468a713ffe73e53d1aec08f",
            "JobName": "my-testing-job",
            "StartedOn": 1602811020.518,
            "LastModifiedOn": 1602811138.364,
            "CompletedOn": 1602811138.364,
            "JobRunState": "FAILED",
            "ErrorMessage": "An error occurred while calling o122.pyWriteDynamicFrame.
                 Access Denied (Service: Amazon S3; Status Code: 403; Error Code: AccessDenied;
                 Request ID: 2671D37856AE7ABB;
                 S3 Extended Request ID: RLJCJw20brV+PpC6GpORahyF2fp9flB5SSb2bTGPnUSPVizLXRl1PN3QZldb+v1o9qRVktNYbW8=)",
            "PredecessorRuns": [],
            "AllocatedCapacity": 10,
            "ExecutionTime": 113,
            "Timeout": 2880,
            "MaxCapacity": 10.0,
            "WorkerType": "G.1X",
            "NumberOfWorkers": 10,
            "LogGroupName": "/aws-glue/jobs",
            "GlueVersion": "2.0"
        }
    ]
}

Untuk informasi selengkapnya, lihat Job Runs di AWS Panduan Pengembang Glue.

• Untuk API detailnya, lihat GetJobRunsdi AWS CLI Referensi Perintah.

JavaScript

SDKuntuk JavaScript (v3)

catatan

Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankan di AWS Repositori Contoh Kode.

const getJobRuns = (jobName) => {
  const client = new GlueClient({});
  const command = new GetJobRunsCommand({
    JobName: jobName,
  });

  return client.send(command);
};

• Untuk API detailnya, lihat GetJobRunsdi AWS SDK for JavaScript APIReferensi.

PHP

SDKuntuk PHP

catatan

Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankan di AWS Repositori Contoh Kode.

        $jobName = 'test-job-' . $uniqid;

        $jobRuns = $glueService->getJobRuns($jobName);

    public function getJobRuns($jobName, $maxResults = 0, $nextToken = ''): Result
    {
        $arguments = ['JobName' => $jobName];
        if ($maxResults) {
            $arguments['MaxResults'] = $maxResults;
        }
        if ($nextToken) {
            $arguments['NextToken'] = $nextToken;
        }
        return $this->glueClient->getJobRuns($arguments);
    }

• Untuk API detailnya, lihat GetJobRunsdi AWS SDK for PHP APIReferensi.

Python

SDKuntuk Python (Boto3)

catatan

Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankan di AWS Repositori Contoh Kode.

class GlueWrapper:
    """Encapsulates AWS Glue actions."""

    def __init__(self, glue_client):
        """
        :param glue_client: A Boto3 Glue client.
        """
        self.glue_client = glue_client


    def get_job_runs(self, job_name):
        """
        Gets information about runs that have been performed for a specific job
        definition.

        :param job_name: The name of the job definition to look up.
        :return: The list of job runs.
        """
        try:
            response = self.glue_client.get_job_runs(JobName=job_name)
        except ClientError as err:
            logger.error(
                "Couldn't get job runs for %s. Here's why: %s: %s",
                job_name,
                err.response["Error"]["Code"],
                err.response["Error"]["Message"],
            )
            raise
        else:
            return response["JobRuns"]

• Untuk API detailnya, lihat GetJobRunsdi AWS SDKuntuk Python (Boto3) Referensi. API

Ruby

SDKuntuk Ruby

catatan

Ada lebih banyak tentang GitHub. Temukan contoh lengkapnya dan pelajari cara mengatur dan menjalankan di AWS Repositori Contoh Kode.

# The `GlueWrapper` class serves as a wrapper around the AWS Glue API, providing a simplified interface for common operations.
# It encapsulates the functionality of the AWS SDK for Glue and provides methods for interacting with Glue crawlers, databases, tables, jobs, and S3 resources.
# The class initializes with a Glue client and a logger, allowing it to make API calls and log any errors or informational messages.
class GlueWrapper
  def initialize(glue_client, logger)
    @glue_client = glue_client
    @logger = logger
  end

  # Retrieves a list of job runs for the specified job.
  #
  # @param job_name [String] The name of the job to retrieve job runs for.
  # @return [Array<Aws::Glue::Types::JobRun>]
  def get_job_runs(job_name)
    response = @glue_client.get_job_runs(job_name: job_name)
    response.job_runs
  rescue Aws::Glue::Errors::GlueException => e
    @logger.error("Glue could not get job runs: \n#{e.message}")
  end

• Untuk API detailnya, lihat GetJobRunsdi AWS SDK for Ruby APIReferensi.

Untuk daftar lengkap AWS SDKpanduan pengembang dan contoh kode, lihatMenggunakan layanan ini dengan AWS SDK. Topik ini juga mencakup informasi tentang memulai dan detail tentang SDK versi sebelumnya.