Package software.amazon.awssdk.services.glue.model

Interface JobRun.Builder

All Superinterfaces:
Buildable, CopyableBuilder<JobRun.Builder,JobRun>, SdkBuilder<JobRun.Builder,JobRun>, SdkPojo
Enclosing class:
JobRun
public static interface JobRun.Builder extends SdkPojo, CopyableBuilder<JobRun.Builder,JobRun>

  • Method Details

    • id

      JobRun.Builder id(String id)

      The ID of this job run.

      Parameters:
      id - The ID of this job run.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • attempt

      JobRun.Builder attempt(Integer attempt)

      The number of the attempt to run this job.

      Parameters:
      attempt - The number of the attempt to run this job.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • previousRunId

      JobRun.Builder previousRunId(String previousRunId)

      The ID of the previous run of this job. For example, the JobRunId specified in the StartJobRun action.

      Parameters:
      previousRunId - The ID of the previous run of this job. For example, the JobRunId specified in the StartJobRun action.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • triggerName

      JobRun.Builder triggerName(String triggerName)

      The name of the trigger that started this job run.

      Parameters:
      triggerName - The name of the trigger that started this job run.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • jobName

      JobRun.Builder jobName(String jobName)

      The name of the job definition being used in this run.

      Parameters:
      jobName - The name of the job definition being used in this run.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • startedOn

      JobRun.Builder startedOn(Instant startedOn)

      The date and time at which this job run was started.

      Parameters:
      startedOn - The date and time at which this job run was started.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • lastModifiedOn

      JobRun.Builder lastModifiedOn(Instant lastModifiedOn)

      The last time that this job run was modified.

      Parameters:
      lastModifiedOn - The last time that this job run was modified.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • completedOn

      JobRun.Builder completedOn(Instant completedOn)

      The date and time that this job run completed.

      Parameters:
      completedOn - The date and time that this job run completed.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • jobRunState

      JobRun.Builder jobRunState(String jobRunState)

      The current state of the job run. For more information about the statuses of jobs that have terminated abnormally, see Glue Job Run Statuses.

      Parameters:
      jobRunState - The current state of the job run. For more information about the statuses of jobs that have terminated abnormally, see Glue Job Run Statuses.
      Returns:
      Returns a reference to this object so that method calls can be chained together.
      See Also:

    • jobRunState

      JobRun.Builder jobRunState(JobRunState jobRunState)

      The current state of the job run. For more information about the statuses of jobs that have terminated abnormally, see Glue Job Run Statuses.

      Parameters:
      jobRunState - The current state of the job run. For more information about the statuses of jobs that have terminated abnormally, see Glue Job Run Statuses.
      Returns:
      Returns a reference to this object so that method calls can be chained together.
      See Also:

    • arguments

      JobRun.Builder arguments(Map<String,String> arguments)

      The job arguments associated with this run. For this job run, they replace the default arguments set in the job definition itself.

      You can specify arguments here that your own job-execution script consumes, as well as arguments that Glue itself consumes.

      Job arguments may be logged. Do not pass plaintext secrets as arguments. Retrieve secrets from a Glue Connection, Secrets Manager or other secret management mechanism if you intend to keep them within the Job.

      For information about how to specify and consume your own Job arguments, see the Calling Glue APIs in Python topic in the developer guide.

      For information about the arguments you can provide to this field when configuring Spark jobs, see the Special Parameters Used by Glue topic in the developer guide.

      For information about the arguments you can provide to this field when configuring Ray jobs, see Using job parameters in Ray jobs in the developer guide.

      Parameters:
      arguments - The job arguments associated with this run. For this job run, they replace the default arguments set in the job definition itself.

      You can specify arguments here that your own job-execution script consumes, as well as arguments that Glue itself consumes.

      Job arguments may be logged. Do not pass plaintext secrets as arguments. Retrieve secrets from a Glue Connection, Secrets Manager or other secret management mechanism if you intend to keep them within the Job.

      For information about how to specify and consume your own Job arguments, see the Calling Glue APIs in Python topic in the developer guide.

      For information about the arguments you can provide to this field when configuring Spark jobs, see the Special Parameters Used by Glue topic in the developer guide.

      For information about the arguments you can provide to this field when configuring Ray jobs, see Using job parameters in Ray jobs in the developer guide.

      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • errorMessage

      JobRun.Builder errorMessage(String errorMessage)

      An error message associated with this job run.

      Parameters:
      errorMessage - An error message associated with this job run.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • predecessorRuns

      JobRun.Builder predecessorRuns(Collection<Predecessor> predecessorRuns)

      A list of predecessors to this job run.

      Parameters:
      predecessorRuns - A list of predecessors to this job run.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • predecessorRuns

      JobRun.Builder predecessorRuns(Predecessor... predecessorRuns)

      A list of predecessors to this job run.

      Parameters:
      predecessorRuns - A list of predecessors to this job run.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • predecessorRuns

      JobRun.Builder predecessorRuns(Consumer<Predecessor.Builder>... predecessorRuns)

      A list of predecessors to this job run.

      This is a convenience method that creates an instance of the Predecessor.Builder avoiding the need to create one manually via Predecessor.builder().

      When the Consumer completes, SdkBuilder.build() is called immediately and its result is passed to predecessorRuns(List<Predecessor>).

      Parameters:
      predecessorRuns - a consumer that will call methods on Predecessor.Builder
      Returns:
      Returns a reference to this object so that method calls can be chained together.
      See Also:

    • allocatedCapacity

      @Deprecated JobRun.Builder allocatedCapacity(Integer allocatedCapacity)
      Deprecated.
      This property is deprecated, use MaxCapacity instead.

      This field is deprecated. Use MaxCapacity instead.

      The number of Glue data processing units (DPUs) allocated to this JobRun. From 2 to 100 DPUs can be allocated; the default is 10. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory. For more information, see the Glue pricing page.

      Parameters:
      allocatedCapacity - This field is deprecated. Use MaxCapacity instead.

      The number of Glue data processing units (DPUs) allocated to this JobRun. From 2 to 100 DPUs can be allocated; the default is 10. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory. For more information, see the Glue pricing page.

      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • executionTime

      JobRun.Builder executionTime(Integer executionTime)

      The amount of time (in seconds) that the job run consumed resources.

      Parameters:
      executionTime - The amount of time (in seconds) that the job run consumed resources.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • timeout

      JobRun.Builder timeout(Integer timeout)

      The JobRun timeout in minutes. This is the maximum time that a job run can consume resources before it is terminated and enters TIMEOUT status. This value overrides the timeout value set in the parent job.

      Streaming jobs do not have a timeout. The default for non-streaming jobs is 2,880 minutes (48 hours).

      Parameters:
      timeout - The JobRun timeout in minutes. This is the maximum time that a job run can consume resources before it is terminated and enters TIMEOUT status. This value overrides the timeout value set in the parent job.

      Streaming jobs do not have a timeout. The default for non-streaming jobs is 2,880 minutes (48 hours).

      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • maxCapacity

      JobRun.Builder maxCapacity(Double maxCapacity)

      For Glue version 1.0 or earlier jobs, using the standard worker type, the number of Glue data processing units (DPUs) that can be allocated when this job runs. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory. For more information, see the Glue pricing page.

      For Glue version 2.0+ jobs, you cannot specify a Maximum capacity. Instead, you should specify a Worker type and the Number of workers.

      Do not set MaxCapacity if using WorkerType and NumberOfWorkers.

      The value that can be allocated for MaxCapacity depends on whether you are running a Python shell job, an Apache Spark ETL job, or an Apache Spark streaming ETL job:

      • When you specify a Python shell job (JobCommand.Name="pythonshell"), you can allocate either 0.0625 or 1 DPU. The default is 0.0625 DPU.

      • When you specify an Apache Spark ETL job (JobCommand.Name="glueetl") or Apache Spark streaming ETL job (JobCommand.Name="gluestreaming"), you can allocate from 2 to 100 DPUs. The default is 10 DPUs. This job type cannot have a fractional DPU allocation.

      Parameters:
      maxCapacity - For Glue version 1.0 or earlier jobs, using the standard worker type, the number of Glue data processing units (DPUs) that can be allocated when this job runs. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory. For more information, see the Glue pricing page.

      For Glue version 2.0+ jobs, you cannot specify a Maximum capacity. Instead, you should specify a Worker type and the Number of workers.

      Do not set MaxCapacity if using WorkerType and NumberOfWorkers.

      The value that can be allocated for MaxCapacity depends on whether you are running a Python shell job, an Apache Spark ETL job, or an Apache Spark streaming ETL job:

      • When you specify a Python shell job (JobCommand.Name="pythonshell"), you can allocate either 0.0625 or 1 DPU. The default is 0.0625 DPU.

      • When you specify an Apache Spark ETL job (JobCommand.Name="glueetl") or Apache Spark streaming ETL job (JobCommand.Name="gluestreaming"), you can allocate from 2 to 100 DPUs. The default is 10 DPUs. This job type cannot have a fractional DPU allocation.

      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • workerType

      JobRun.Builder workerType(String workerType)

      The type of predefined worker that is allocated when a job runs. Accepts a value of G.1X, G.2X, G.4X, G.8X or G.025X for Spark jobs. Accepts the value Z.2X for Ray jobs.

      • For the G.1X worker type, each worker maps to 1 DPU (4 vCPUs, 16 GB of memory) with 84GB disk (approximately 34GB free), and provides 1 executor per worker. We recommend this worker type for workloads such as data transforms, joins, and queries, to offers a scalable and cost effective way to run most jobs.

      • For the G.2X worker type, each worker maps to 2 DPU (8 vCPUs, 32 GB of memory) with 128GB disk (approximately 77GB free), and provides 1 executor per worker. We recommend this worker type for workloads such as data transforms, joins, and queries, to offers a scalable and cost effective way to run most jobs.

      • For the G.4X worker type, each worker maps to 4 DPU (16 vCPUs, 64 GB of memory) with 256GB disk (approximately 235GB free), and provides 1 executor per worker. We recommend this worker type for jobs whose workloads contain your most demanding transforms, aggregations, joins, and queries. This worker type is available only for Glue version 3.0 or later Spark ETL jobs in the following Amazon Web Services Regions: US East (Ohio), US East (N. Virginia), US West (Oregon), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), Europe (Frankfurt), Europe (Ireland), and Europe (Stockholm).

      • For the G.8X worker type, each worker maps to 8 DPU (32 vCPUs, 128 GB of memory) with 512GB disk (approximately 487GB free), and provides 1 executor per worker. We recommend this worker type for jobs whose workloads contain your most demanding transforms, aggregations, joins, and queries. This worker type is available only for Glue version 3.0 or later Spark ETL jobs, in the same Amazon Web Services Regions as supported for the G.4X worker type.

      • For the G.025X worker type, each worker maps to 0.25 DPU (2 vCPUs, 4 GB of memory) with 84GB disk (approximately 34GB free), and provides 1 executor per worker. We recommend this worker type for low volume streaming jobs. This worker type is only available for Glue version 3.0 streaming jobs.

      • For the Z.2X worker type, each worker maps to 2 M-DPU (8vCPUs, 64 GB of memory) with 128 GB disk (approximately 120GB free), and provides up to 8 Ray workers based on the autoscaler.

      Parameters:
      workerType - The type of predefined worker that is allocated when a job runs. Accepts a value of G.1X, G.2X, G.4X, G.8X or G.025X for Spark jobs. Accepts the value Z.2X for Ray jobs.

      • For the G.1X worker type, each worker maps to 1 DPU (4 vCPUs, 16 GB of memory) with 84GB disk (approximately 34GB free), and provides 1 executor per worker. We recommend this worker type for workloads such as data transforms, joins, and queries, to offers a scalable and cost effective way to run most jobs.

      • For the G.2X worker type, each worker maps to 2 DPU (8 vCPUs, 32 GB of memory) with 128GB disk (approximately 77GB free), and provides 1 executor per worker. We recommend this worker type for workloads such as data transforms, joins, and queries, to offers a scalable and cost effective way to run most jobs.

      • For the G.4X worker type, each worker maps to 4 DPU (16 vCPUs, 64 GB of memory) with 256GB disk (approximately 235GB free), and provides 1 executor per worker. We recommend this worker type for jobs whose workloads contain your most demanding transforms, aggregations, joins, and queries. This worker type is available only for Glue version 3.0 or later Spark ETL jobs in the following Amazon Web Services Regions: US East (Ohio), US East (N. Virginia), US West (Oregon), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), Europe (Frankfurt), Europe (Ireland), and Europe (Stockholm).

      • For the G.8X worker type, each worker maps to 8 DPU (32 vCPUs, 128 GB of memory) with 512GB disk (approximately 487GB free), and provides 1 executor per worker. We recommend this worker type for jobs whose workloads contain your most demanding transforms, aggregations, joins, and queries. This worker type is available only for Glue version 3.0 or later Spark ETL jobs, in the same Amazon Web Services Regions as supported for the G.4X worker type.

      • For the G.025X worker type, each worker maps to 0.25 DPU (2 vCPUs, 4 GB of memory) with 84GB disk (approximately 34GB free), and provides 1 executor per worker. We recommend this worker type for low volume streaming jobs. This worker type is only available for Glue version 3.0 streaming jobs.

      • For the Z.2X worker type, each worker maps to 2 M-DPU (8vCPUs, 64 GB of memory) with 128 GB disk (approximately 120GB free), and provides up to 8 Ray workers based on the autoscaler.

      Returns:
      Returns a reference to this object so that method calls can be chained together.
      See Also:

    • workerType

      JobRun.Builder workerType(WorkerType workerType)

      The type of predefined worker that is allocated when a job runs. Accepts a value of G.1X, G.2X, G.4X, G.8X or G.025X for Spark jobs. Accepts the value Z.2X for Ray jobs.

      • For the G.1X worker type, each worker maps to 1 DPU (4 vCPUs, 16 GB of memory) with 84GB disk (approximately 34GB free), and provides 1 executor per worker. We recommend this worker type for workloads such as data transforms, joins, and queries, to offers a scalable and cost effective way to run most jobs.

      • For the G.2X worker type, each worker maps to 2 DPU (8 vCPUs, 32 GB of memory) with 128GB disk (approximately 77GB free), and provides 1 executor per worker. We recommend this worker type for workloads such as data transforms, joins, and queries, to offers a scalable and cost effective way to run most jobs.

      • For the G.4X worker type, each worker maps to 4 DPU (16 vCPUs, 64 GB of memory) with 256GB disk (approximately 235GB free), and provides 1 executor per worker. We recommend this worker type for jobs whose workloads contain your most demanding transforms, aggregations, joins, and queries. This worker type is available only for Glue version 3.0 or later Spark ETL jobs in the following Amazon Web Services Regions: US East (Ohio), US East (N. Virginia), US West (Oregon), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), Europe (Frankfurt), Europe (Ireland), and Europe (Stockholm).

      • For the G.8X worker type, each worker maps to 8 DPU (32 vCPUs, 128 GB of memory) with 512GB disk (approximately 487GB free), and provides 1 executor per worker. We recommend this worker type for jobs whose workloads contain your most demanding transforms, aggregations, joins, and queries. This worker type is available only for Glue version 3.0 or later Spark ETL jobs, in the same Amazon Web Services Regions as supported for the G.4X worker type.

      • For the G.025X worker type, each worker maps to 0.25 DPU (2 vCPUs, 4 GB of memory) with 84GB disk (approximately 34GB free), and provides 1 executor per worker. We recommend this worker type for low volume streaming jobs. This worker type is only available for Glue version 3.0 streaming jobs.

      • For the Z.2X worker type, each worker maps to 2 M-DPU (8vCPUs, 64 GB of memory) with 128 GB disk (approximately 120GB free), and provides up to 8 Ray workers based on the autoscaler.

      Parameters:
      workerType - The type of predefined worker that is allocated when a job runs. Accepts a value of G.1X, G.2X, G.4X, G.8X or G.025X for Spark jobs. Accepts the value Z.2X for Ray jobs.

      • For the G.1X worker type, each worker maps to 1 DPU (4 vCPUs, 16 GB of memory) with 84GB disk (approximately 34GB free), and provides 1 executor per worker. We recommend this worker type for workloads such as data transforms, joins, and queries, to offers a scalable and cost effective way to run most jobs.

      • For the G.2X worker type, each worker maps to 2 DPU (8 vCPUs, 32 GB of memory) with 128GB disk (approximately 77GB free), and provides 1 executor per worker. We recommend this worker type for workloads such as data transforms, joins, and queries, to offers a scalable and cost effective way to run most jobs.

      • For the G.4X worker type, each worker maps to 4 DPU (16 vCPUs, 64 GB of memory) with 256GB disk (approximately 235GB free), and provides 1 executor per worker. We recommend this worker type for jobs whose workloads contain your most demanding transforms, aggregations, joins, and queries. This worker type is available only for Glue version 3.0 or later Spark ETL jobs in the following Amazon Web Services Regions: US East (Ohio), US East (N. Virginia), US West (Oregon), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), Europe (Frankfurt), Europe (Ireland), and Europe (Stockholm).

      • For the G.8X worker type, each worker maps to 8 DPU (32 vCPUs, 128 GB of memory) with 512GB disk (approximately 487GB free), and provides 1 executor per worker. We recommend this worker type for jobs whose workloads contain your most demanding transforms, aggregations, joins, and queries. This worker type is available only for Glue version 3.0 or later Spark ETL jobs, in the same Amazon Web Services Regions as supported for the G.4X worker type.

      • For the G.025X worker type, each worker maps to 0.25 DPU (2 vCPUs, 4 GB of memory) with 84GB disk (approximately 34GB free), and provides 1 executor per worker. We recommend this worker type for low volume streaming jobs. This worker type is only available for Glue version 3.0 streaming jobs.

      • For the Z.2X worker type, each worker maps to 2 M-DPU (8vCPUs, 64 GB of memory) with 128 GB disk (approximately 120GB free), and provides up to 8 Ray workers based on the autoscaler.

      Returns:
      Returns a reference to this object so that method calls can be chained together.
      See Also:

    • numberOfWorkers

      JobRun.Builder numberOfWorkers(Integer numberOfWorkers)

      The number of workers of a defined workerType that are allocated when a job runs.

      Parameters:
      numberOfWorkers - The number of workers of a defined workerType that are allocated when a job runs.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • securityConfiguration

      JobRun.Builder securityConfiguration(String securityConfiguration)

      The name of the SecurityConfiguration structure to be used with this job run.

      Parameters:
      securityConfiguration - The name of the SecurityConfiguration structure to be used with this job run.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • logGroupName

      JobRun.Builder logGroupName(String logGroupName)

      The name of the log group for secure logging that can be server-side encrypted in Amazon CloudWatch using KMS. This name can be /aws-glue/jobs/, in which case the default encryption is NONE . If you add a role name and SecurityConfiguration name (in other words, /aws-glue/jobs-yourRoleName-yourSecurityConfigurationName/), then that security configuration is used to encrypt the log group.

      Parameters:
      logGroupName - The name of the log group for secure logging that can be server-side encrypted in Amazon CloudWatch using KMS. This name can be /aws-glue/jobs/, in which case the default encryption is NONE. If you add a role name and SecurityConfiguration name (in other words, /aws-glue/jobs-yourRoleName-yourSecurityConfigurationName/), then that security configuration is used to encrypt the log group.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • notificationProperty

      JobRun.Builder notificationProperty(NotificationProperty notificationProperty)

      Specifies configuration properties of a job run notification.

      Parameters:
      notificationProperty - Specifies configuration properties of a job run notification.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • notificationProperty

      default JobRun.Builder notificationProperty(Consumer<NotificationProperty.Builder> notificationProperty)

      Specifies configuration properties of a job run notification.

      This is a convenience method that creates an instance of the NotificationProperty.Builder avoiding the need to create one manually via NotificationProperty.builder().

      When the Consumer completes, SdkBuilder.build() is called immediately and its result is passed to notificationProperty(NotificationProperty).

      Parameters:
      notificationProperty - a consumer that will call methods on NotificationProperty.Builder
      Returns:
      Returns a reference to this object so that method calls can be chained together.
      See Also:

    • glueVersion

      JobRun.Builder glueVersion(String glueVersion)

      In Spark jobs, GlueVersion determines the versions of Apache Spark and Python that Glue available in a job. The Python version indicates the version supported for jobs of type Spark.

      Ray jobs should set GlueVersion to 4.0 or greater. However, the versions of Ray, Python and additional libraries available in your Ray job are determined by the Runtime parameter of the Job command.

      For more information about the available Glue versions and corresponding Spark and Python versions, see Glue version in the developer guide.

      Jobs that are created without specifying a Glue version default to Glue 0.9.

      Parameters:
      glueVersion - In Spark jobs, GlueVersion determines the versions of Apache Spark and Python that Glue available in a job. The Python version indicates the version supported for jobs of type Spark.

      Ray jobs should set GlueVersion to 4.0 or greater. However, the versions of Ray, Python and additional libraries available in your Ray job are determined by the Runtime parameter of the Job command.

      For more information about the available Glue versions and corresponding Spark and Python versions, see Glue version in the developer guide.

      Jobs that are created without specifying a Glue version default to Glue 0.9.

      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • dpuSeconds

      JobRun.Builder dpuSeconds(Double dpuSeconds)

      This field populates only for Auto Scaling job runs, and represents the total time each executor ran during the lifecycle of a job run in seconds, multiplied by a DPU factor (1 for G.1X, 2 for G.2X, or 0.25 for G.025X workers). This value may be different than the executionEngineRuntime * MaxCapacity as in the case of Auto Scaling jobs, as the number of executors running at a given time may be less than the MaxCapacity. Therefore, it is possible that the value of DPUSeconds is less than executionEngineRuntime * MaxCapacity.

      Parameters:
      dpuSeconds - This field populates only for Auto Scaling job runs, and represents the total time each executor ran during the lifecycle of a job run in seconds, multiplied by a DPU factor (1 for G.1X, 2 for G.2X, or 0.25 for G.025X workers). This value may be different than the executionEngineRuntime * MaxCapacity as in the case of Auto Scaling jobs, as the number of executors running at a given time may be less than the MaxCapacity. Therefore, it is possible that the value of DPUSeconds is less than executionEngineRuntime * MaxCapacity.
      Returns:
      Returns a reference to this object so that method calls can be chained together.

    • executionClass

      JobRun.Builder executionClass(String executionClass)

      Indicates whether the job is run with a standard or flexible execution class. The standard execution-class is ideal for time-sensitive workloads that require fast job startup and dedicated resources.

      The flexible execution class is appropriate for time-insensitive jobs whose start and completion times may vary.

      Only jobs with Glue version 3.0 and above and command type glueetl will be allowed to set ExecutionClass to FLEX. The flexible execution class is available for Spark jobs.

      Parameters:
      executionClass - Indicates whether the job is run with a standard or flexible execution class. The standard execution-class is ideal for time-sensitive workloads that require fast job startup and dedicated resources.

      The flexible execution class is appropriate for time-insensitive jobs whose start and completion times may vary.

      Only jobs with Glue version 3.0 and above and command type glueetl will be allowed to set ExecutionClass to FLEX. The flexible execution class is available for Spark jobs.

      Returns:
      Returns a reference to this object so that method calls can be chained together.
      See Also:

    • executionClass

      JobRun.Builder executionClass(ExecutionClass executionClass)

      Indicates whether the job is run with a standard or flexible execution class. The standard execution-class is ideal for time-sensitive workloads that require fast job startup and dedicated resources.

      The flexible execution class is appropriate for time-insensitive jobs whose start and completion times may vary.

      Only jobs with Glue version 3.0 and above and command type glueetl will be allowed to set ExecutionClass to FLEX. The flexible execution class is available for Spark jobs.

      Parameters:
      executionClass - Indicates whether the job is run with a standard or flexible execution class. The standard execution-class is ideal for time-sensitive workloads that require fast job startup and dedicated resources.

      The flexible execution class is appropriate for time-insensitive jobs whose start and completion times may vary.

      Only jobs with Glue version 3.0 and above and command type glueetl will be allowed to set ExecutionClass to FLEX. The flexible execution class is available for Spark jobs.

      Returns:
      Returns a reference to this object so that method calls can be chained together.
      See Also: