Usare GetJobRuns con un AWS SDK o CLI

    /// <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;
    }

        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());

Come ottenere informazioni su tutte le esecuzioni di processo per un determinato processo

L’esempio get-job-runs seguente recupera informazioni sulle esecuzioni di processo per un determinato processo.

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

Output:

{
    "JobRuns": [
        {
            "Id": "jr_012e1765065050a4d94d761755e5c62538ee1aad6f17d39f527e9140cf0c9a5e",
            "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://amzn-s3-demo-bucket/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"
        }
    ]
}

Per ulteriori informazioni, consulta Esecuzioni di processi nella Guida per gli sviluppatori di AWS Glue.

    /**
     * Retrieves the job runs for a given Glue job and prints the status of the job runs.
     *
     * @param glueClient the Glue client used to make API calls
     * @param jobName    the name of the Glue job to retrieve the job runs for
     */
    public static void getJobRuns(GlueClient glueClient, String jobName) {
        try {
            GetJobRunsRequest runsRequest = GetJobRunsRequest.builder()
                .jobName(jobName)
                .maxResults(20)
                .build();

            boolean jobDone = false;
            while (!jobDone) {
                GetJobRunsResponse response = glueClient.getJobRuns(runsRequest);
                List<JobRun> jobRuns = response.jobRuns();
                for (JobRun jobRun : jobRuns) {
                    String jobState = jobRun.jobRunState().name();
                    if (jobState.compareTo("SUCCEEDED") == 0) {
                        System.out.println(jobName + " has succeeded");
                        jobDone = true;

                    } else if (jobState.compareTo("STOPPED") == 0) {
                        System.out.println("Job run has stopped");
                        jobDone = true;

                    } else if (jobState.compareTo("FAILED") == 0) {
                        System.out.println("Job run has failed");
                        jobDone = true;

                    } else if (jobState.compareTo("TIMEOUT") == 0) {
                        System.out.println("Job run has timed out");
                        jobDone = true;

                    } else {
                        System.out.println("*** Job run state is " + jobRun.jobRunState().name());
                        System.out.println("Job run Id is " + jobRun.id());
                        System.out.println("The Glue version is " + jobRun.glueVersion());
                    }
                    TimeUnit.SECONDS.sleep(5);
                }
            }

        } catch (GlueException e) {
            throw e;
        } catch (InterruptedException e) {
            throw new RuntimeException(e);
        }
    }

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

  return client.send(command);
};

        $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);
    }

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"]

# 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

    TRY.
        " iv_job_name = 'my-etl-job'
        oo_result = lo_glu->getjobruns( iv_jobname = iv_job_name ).
        DATA(lt_job_runs) = oo_result->get_jobruns( ).
        MESSAGE 'Job runs retrieved successfully.' TYPE 'I'.
      CATCH /aws1/cx_gluentitynotfoundex.
        MESSAGE 'Job does not exist.' TYPE 'E'.
      CATCH /aws1/cx_gluinvalidinputex INTO DATA(lo_invalid_ex).
        DATA(lv_invalid_error) = lo_invalid_ex->if_message~get_longtext( ).
        MESSAGE lv_invalid_error TYPE 'E'.
      CATCH /aws1/cx_gluinternalserviceex INTO DATA(lo_internal_ex).
        DATA(lv_internal_error) = lo_internal_ex->if_message~get_longtext( ).
        MESSAGE lv_internal_error TYPE 'E'.
      CATCH /aws1/cx_gluoperationtimeoutex INTO DATA(lo_timeout_ex).
        DATA(lv_timeout_error) = lo_timeout_ex->if_message~get_longtext( ).
        MESSAGE lv_timeout_error TYPE 'E'.
    ENDTRY.

import AWSClientRuntime
import AWSGlue

    /// Return a list of the job runs for the specified job.
    /// 
    /// - Parameters:
    ///   - glueClient: The AWS Glue client to use.
    ///   - jobName: The name of the job for which to return its job runs.
    ///   - maxResults: The maximum number of job runs to return (default:
    ///     1000).
    ///
    /// - Returns: An array of `GlueClientTypes.JobRun` objects describing
    ///   each job run.
    func getJobRuns(glueClient: GlueClient, name jobName: String, maxResults: Int? = nil) async -> [GlueClientTypes.JobRun] {
        do {
            let output = try await glueClient.getJobRuns(
                input: GetJobRunsInput(
                    jobName: jobName,
                    maxResults: maxResults
                )
            )

            guard let jobRuns = output.jobRuns else {
                print("*** No job runs found.")
                return []
            }

            return jobRuns
        } catch is EntityNotFoundException {
            print("*** The specified job name, \(jobName), doesn't exist.")
            return []
        } catch {
            print("*** Unexpected error getting job runs:")
            dump(error)
            return []
        }
    }