Class CfnJobProps.Builder

java.lang.Object
software.amazon.awscdk.services.glue.CfnJobProps.Builder
All Implemented Interfaces:
software.amazon.jsii.Builder<CfnJobProps>
Enclosing interface:
CfnJobProps

@Stability(Stable) public static final class CfnJobProps.Builder extends Object implements software.amazon.jsii.Builder<CfnJobProps>
A builder for CfnJobProps
  • Constructor Details

    • Builder

      public Builder()
  • Method Details

    • command

      @Stability(Stable) public CfnJobProps.Builder command(IResolvable command)
      Sets the value of CfnJobProps.getCommand()
      Parameters:
      command - The code that executes a job. This parameter is required.
      Returns:
      this
    • command

      @Stability(Stable) public CfnJobProps.Builder command(CfnJob.JobCommandProperty command)
      Sets the value of CfnJobProps.getCommand()
      Parameters:
      command - The code that executes a job. This parameter is required.
      Returns:
      this
    • role

      @Stability(Stable) public CfnJobProps.Builder role(String role)
      Sets the value of CfnJobProps.getRole()
      Parameters:
      role - The name or Amazon Resource Name (ARN) of the IAM role associated with this job. This parameter is required.
      Returns:
      this
    • allocatedCapacity

      @Stability(Stable) public CfnJobProps.Builder allocatedCapacity(Number allocatedCapacity)
      Parameters:
      allocatedCapacity - This parameter is no longer supported. Use MaxCapacity instead. The number of capacity units that are allocated to this job.
      Returns:
      this
    • connections

      @Stability(Stable) public CfnJobProps.Builder connections(IResolvable connections)
      Parameters:
      connections - The connections used for this job.
      Returns:
      this
    • connections

      @Stability(Stable) public CfnJobProps.Builder connections(CfnJob.ConnectionsListProperty connections)
      Parameters:
      connections - The connections used for this job.
      Returns:
      this
    • defaultArguments

      @Stability(Stable) public CfnJobProps.Builder defaultArguments(Object defaultArguments)
      Parameters:
      defaultArguments - The default arguments for this job, specified as name-value pairs. You can specify arguments here that your own job-execution script consumes, in addition to arguments that AWS Glue itself consumes.

      For information about how to specify and consume your own job arguments, see Calling AWS Glue APIs in Python in the AWS Glue Developer Guide .

      For information about the key-value pairs that AWS Glue consumes to set up your job, see Special Parameters Used by AWS Glue in the AWS Glue Developer Guide .

      Returns:
      this
    • description

      @Stability(Stable) public CfnJobProps.Builder description(String description)
      Parameters:
      description - A description of the job.
      Returns:
      this
    • executionClass

      @Stability(Stable) public CfnJobProps.Builder executionClass(String executionClass)
      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 AWS 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:
      this
    • executionProperty

      @Stability(Stable) public CfnJobProps.Builder executionProperty(IResolvable executionProperty)
      Parameters:
      executionProperty - The maximum number of concurrent runs that are allowed for this job.
      Returns:
      this
    • executionProperty

      @Stability(Stable) public CfnJobProps.Builder executionProperty(CfnJob.ExecutionPropertyProperty executionProperty)
      Parameters:
      executionProperty - The maximum number of concurrent runs that are allowed for this job.
      Returns:
      this
    • glueVersion

      @Stability(Stable) public CfnJobProps.Builder glueVersion(String glueVersion)
      Parameters:
      glueVersion - Glue version determines the versions of Apache Spark and Python that AWS Glue supports. The Python version indicates the version supported for jobs of type Spark.

      For more information about the available AWS 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:
      this
    • logUri

      @Stability(Stable) public CfnJobProps.Builder logUri(String logUri)
      Sets the value of CfnJobProps.getLogUri()
      Parameters:
      logUri - This field is reserved for future use.
      Returns:
      this
    • maintenanceWindow

      @Stability(Stable) public CfnJobProps.Builder maintenanceWindow(String maintenanceWindow)
      Parameters:
      maintenanceWindow - This field specifies a day of the week and hour for a maintenance window for streaming jobs. AWS Glue periodically performs maintenance activities. During these maintenance windows, AWS Glue will need to restart your streaming jobs.

      AWS Glue will restart the job within 3 hours of the specified maintenance window. For instance, if you set up the maintenance window for Monday at 10:00AM GMT, your jobs will be restarted between 10:00AM GMT to 1:00PM GMT.

      Returns:
      this
    • maxCapacity

      @Stability(Stable) public CfnJobProps.Builder maxCapacity(Number maxCapacity)
      Parameters:
      maxCapacity - The number of AWS 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.

      Do not set Max Capacity if using WorkerType and NumberOfWorkers .

      The value that can be allocated for MaxCapacity depends on whether you are running a Python shell job or an Apache Spark 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"), you can allocate from 2 to 100 DPUs. The default is 10 DPUs. This job type cannot have a fractional DPU allocation.
      Returns:
      this
    • maxRetries

      @Stability(Stable) public CfnJobProps.Builder maxRetries(Number maxRetries)
      Sets the value of CfnJobProps.getMaxRetries()
      Parameters:
      maxRetries - The maximum number of times to retry this job after a JobRun fails.
      Returns:
      this
    • name

      @Stability(Stable) public CfnJobProps.Builder name(String name)
      Sets the value of CfnJobProps.getName()
      Parameters:
      name - The name you assign to this job definition.
      Returns:
      this
    • nonOverridableArguments

      @Stability(Stable) public CfnJobProps.Builder nonOverridableArguments(Object nonOverridableArguments)
      Parameters:
      nonOverridableArguments - Non-overridable arguments for this job, specified as name-value pairs.
      Returns:
      this
    • notificationProperty

      @Stability(Stable) public CfnJobProps.Builder notificationProperty(IResolvable notificationProperty)
      Parameters:
      notificationProperty - Specifies configuration properties of a notification.
      Returns:
      this
    • notificationProperty

      @Stability(Stable) public CfnJobProps.Builder notificationProperty(CfnJob.NotificationPropertyProperty notificationProperty)
      Parameters:
      notificationProperty - Specifies configuration properties of a notification.
      Returns:
      this
    • numberOfWorkers

      @Stability(Stable) public CfnJobProps.Builder numberOfWorkers(Number numberOfWorkers)
      Parameters:
      numberOfWorkers - The number of workers of a defined workerType that are allocated when a job runs. The maximum number of workers you can define are 299 for G.1X , and 149 for G.2X .
      Returns:
      this
    • securityConfiguration

      @Stability(Stable) public CfnJobProps.Builder securityConfiguration(String securityConfiguration)
      Parameters:
      securityConfiguration - The name of the SecurityConfiguration structure to be used with this job.
      Returns:
      this
    • tags

      @Stability(Stable) public CfnJobProps.Builder tags(Object tags)
      Sets the value of CfnJobProps.getTags()
      Parameters:
      tags - The tags to use with this job.
      Returns:
      this
    • timeout

      @Stability(Stable) public CfnJobProps.Builder timeout(Number timeout)
      Sets the value of CfnJobProps.getTimeout()
      Parameters:
      timeout - The job timeout in minutes. This is the maximum time that a job run can consume resources before it is terminated and enters TIMEOUT status. The default is 2,880 minutes (48 hours).
      Returns:
      this
    • workerType

      @Stability(Stable) public CfnJobProps.Builder workerType(String workerType)
      Sets the value of CfnJobProps.getWorkerType()
      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 AWS Glue version 3.0 or later Spark ETL jobs in the following AWS 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 AWS Glue version 3.0 or later Spark ETL jobs, in the same AWS 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 AWS 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:
      this
    • build

      @Stability(Stable) public CfnJobProps build()
      Builds the configured instance.
      Specified by:
      build in interface software.amazon.jsii.Builder<CfnJobProps>
      Returns:
      a new instance of CfnJobProps
      Throws:
      NullPointerException - if any required attribute was not provided