EMRContainers / Client / list_job_runs

list_job_runs

EMRContainers.Client.list_job_runs(**kwargs)

Lists job runs based on a set of parameters. A job run is a unit of work, such as a Spark jar, PySpark script, or SparkSQL query, that you submit to Amazon EMR on EKS.

See also: AWS API Documentation

Request Syntax

response = client.list_job_runs(
    virtualClusterId='string',
    createdBefore=datetime(2015, 1, 1),
    createdAfter=datetime(2015, 1, 1),
    name='string',
    states=[
        'PENDING'|'SUBMITTED'|'RUNNING'|'FAILED'|'CANCELLED'|'CANCEL_PENDING'|'COMPLETED',
    ],
    maxResults=123,
    nextToken='string'
)

Parameters:

• virtualClusterId (string) –

  [REQUIRED]

  The ID of the virtual cluster for which to list the job run.

• createdBefore (datetime) – The date and time before which the job runs were submitted.

• createdAfter (datetime) – The date and time after which the job runs were submitted.

• name (string) – The name of the job run.

• states (list) –

  The states of the job run.

  • (string) –

• maxResults (integer) – The maximum number of job runs that can be listed.

• nextToken (string) – The token for the next set of job runs to return.

Return type:

dict

Returns:

Response Syntax

{
    'jobRuns': [
        {
            'id': 'string',
            'name': 'string',
            'virtualClusterId': 'string',
            'arn': 'string',
            'state': 'PENDING'|'SUBMITTED'|'RUNNING'|'FAILED'|'CANCELLED'|'CANCEL_PENDING'|'COMPLETED',
            'clientToken': 'string',
            'executionRoleArn': 'string',
            'releaseLabel': 'string',
            'configurationOverrides': {
                'applicationConfiguration': [
                    {
                        'classification': 'string',
                        'properties': {
                            'string': 'string'
                        },
                        'configurations': {'... recursive ...'}
                    },
                ],
                'monitoringConfiguration': {
                    'persistentAppUI': 'ENABLED'|'DISABLED',
                    'cloudWatchMonitoringConfiguration': {
                        'logGroupName': 'string',
                        'logStreamNamePrefix': 'string'
                    },
                    's3MonitoringConfiguration': {
                        'logUri': 'string'
                    }
                }
            },
            'jobDriver': {
                'sparkSubmitJobDriver': {
                    'entryPoint': 'string',
                    'entryPointArguments': [
                        'string',
                    ],
                    'sparkSubmitParameters': 'string'
                },
                'sparkSqlJobDriver': {
                    'entryPoint': 'string',
                    'sparkSqlParameters': 'string'
                }
            },
            'createdAt': datetime(2015, 1, 1),
            'createdBy': 'string',
            'finishedAt': datetime(2015, 1, 1),
            'stateDetails': 'string',
            'failureReason': 'INTERNAL_ERROR'|'USER_ERROR'|'VALIDATION_ERROR'|'CLUSTER_UNAVAILABLE',
            'tags': {
                'string': 'string'
            },
            'retryPolicyConfiguration': {
                'maxAttempts': 123
            },
            'retryPolicyExecution': {
                'currentAttemptCount': 123
            }
        },
    ],
    'nextToken': 'string'
}

Response Structure

• (dict) –

  • jobRuns (list) –

    This output lists information about the specified job runs.

    • (dict) –

      This entity describes a job run. A job run is a unit of work, such as a Spark jar, PySpark script, or SparkSQL query, that you submit to Amazon EMR on EKS.

      • id (string) –

        The ID of the job run.

      • name (string) –

        The name of the job run.

      • virtualClusterId (string) –

        The ID of the job run’s virtual cluster.

      • arn (string) –

        The ARN of job run.

      • state (string) –

        The state of the job run.

      • clientToken (string) –

        The client token used to start a job run.

      • executionRoleArn (string) –

        The execution role ARN of the job run.

      • releaseLabel (string) –

        The release version of Amazon EMR.

      • configurationOverrides (dict) –

        The configuration settings that are used to override default configuration.

        • applicationConfiguration (list) –

          The configurations for the application running by the job run.

          • (dict) –

            A configuration specification to be used when provisioning virtual clusters, which can include configurations for applications and software bundled with Amazon EMR on EKS. A configuration consists of a classification, properties, and optional nested configurations. A classification refers to an application-specific configuration file. Properties are the settings you want to change in that file.

            • classification (string) –

              The classification within a configuration.

            • properties (dict) –

              A set of properties specified within a configuration classification.

              • (string) –

                • (string) –

            • configurations (list) –

              A list of additional configurations to apply within a configuration object.

        • monitoringConfiguration (dict) –

          The configurations for monitoring.

          • persistentAppUI (string) –

            Monitoring configurations for the persistent application UI.

          • cloudWatchMonitoringConfiguration (dict) –

            Monitoring configurations for CloudWatch.

            • logGroupName (string) –

              The name of the log group for log publishing.

            • logStreamNamePrefix (string) –

              The specified name prefix for log streams.

          • s3MonitoringConfiguration (dict) –

            Amazon S3 configuration for monitoring log publishing.

            • logUri (string) –

              Amazon S3 destination URI for log publishing.

      • jobDriver (dict) –

        Parameters of job driver for the job run.

        • sparkSubmitJobDriver (dict) –

          The job driver parameters specified for spark submit.

          • entryPoint (string) –

            The entry point of job application.

          • entryPointArguments (list) –

            The arguments for job application.

            • (string) –

          • sparkSubmitParameters (string) –

            The Spark submit parameters that are used for job runs.

        • sparkSqlJobDriver (dict) –

          The job driver for job type.

          • entryPoint (string) –

            The SQL file to be executed.

          • sparkSqlParameters (string) –

            The Spark parameters to be included in the Spark SQL command.

      • createdAt (datetime) –

        The date and time when the job run was created.

      • createdBy (string) –

        The user who created the job run.

      • finishedAt (datetime) –

        The date and time when the job run has finished.

      • stateDetails (string) –

        Additional details of the job run state.

      • failureReason (string) –

        The reasons why the job run has failed.

      • tags (dict) –

        The assigned tags of the job run.

        • (string) –

          • (string) –

      • retryPolicyConfiguration (dict) –

        The configuration of the retry policy that the job runs on.

        • maxAttempts (integer) –

          The maximum number of attempts on the job’s driver.

      • retryPolicyExecution (dict) –

        The current status of the retry policy executed on the job.

        • currentAttemptCount (integer) –

          The current number of attempts made on the driver of the job.

  • nextToken (string) –

    This output displays the token for the next set of job runs.

Exceptions

• EMRContainers.Client.exceptions.ValidationException

• EMRContainers.Client.exceptions.InternalServerException