Interface CfnJobProps

All Superinterfaces:
All Known Implementing Classes:

@Generated(value="jsii-pacmak/1.84.0 (build 5404dcf)", date="2023-06-19T16:30:42.423Z") @Stability(Stable) public interface CfnJobProps extends
Properties for defining a CfnJob.


 // The code below shows an example of how to instantiate this type.
 // The values are placeholders you should change.
 Object defaultArguments;
 Object nonOverridableArguments;
 Object tags;
 CfnJobProps cfnJobProps = CfnJobProps.builder()
         // the properties below are optional
  • Method Details

    • getCommand

      @Stability(Stable) @NotNull Object getCommand()
      The code that executes a job.
    • getRole

      @Stability(Stable) @NotNull String getRole()
      The name or Amazon Resource Name (ARN) of the IAM role associated with this job.
    • getAllocatedCapacity

      @Stability(Stable) @Nullable default Number getAllocatedCapacity()
      This parameter is no longer supported. Use MaxCapacity instead.

      The number of capacity units that are allocated to this job.

    • getConnections

      @Stability(Stable) @Nullable default Object getConnections()
      The connections used for this job.
    • getDefaultArguments

      @Stability(Stable) @Nullable default Object getDefaultArguments()
      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 .

    • getDescription

      @Stability(Stable) @Nullable default String getDescription()
      A description of the job.
    • getExecutionClass

      @Stability(Stable) @Nullable default String getExecutionClass()
      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.

    • getExecutionProperty

      @Stability(Stable) @Nullable default Object getExecutionProperty()
      The maximum number of concurrent runs that are allowed for this job.
    • getGlueVersion

      @Stability(Stable) @Nullable default String getGlueVersion()
      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.

    • getLogUri

      @Stability(Stable) @Nullable default String getLogUri()
      This field is reserved for future use.
    • getMaxCapacity

      @Stability(Stable) @Nullable default Number getMaxCapacity()
      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.
    • getMaxRetries

      @Stability(Stable) @Nullable default Number getMaxRetries()
      The maximum number of times to retry this job after a JobRun fails.
    • getName

      @Stability(Stable) @Nullable default String getName()
      The name you assign to this job definition.
    • getNonOverridableArguments

      @Stability(Stable) @Nullable default Object getNonOverridableArguments()
      Non-overridable arguments for this job, specified as name-value pairs.
    • getNotificationProperty

      @Stability(Stable) @Nullable default Object getNotificationProperty()
      Specifies configuration properties of a notification.
    • getNumberOfWorkers

      @Stability(Stable) @Nullable default Number getNumberOfWorkers()
      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 .

    • getSecurityConfiguration

      @Stability(Stable) @Nullable default String getSecurityConfiguration()
      The name of the SecurityConfiguration structure to be used with this job.
    • getTags

      @Stability(Stable) @Nullable default Object getTags()
      The tags to use with this job.
    • getTimeout

      @Stability(Stable) @Nullable default Number getTimeout()
      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).

    • getWorkerType

      @Stability(Stable) @Nullable default String getWorkerType()
      The type of predefined worker that is allocated when a job runs.

      Accepts a value of Standard, G.1X, or G.2X.

      • For the Standard worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2 executors per worker.
      • For the G.1X worker type, each worker maps to 1 DPU (4 vCPU, 16 GB of memory, 64 GB disk), and provides 1 executor per worker. We recommend this worker type for memory-intensive jobs.
      • For the G.2X worker type, each worker maps to 2 DPU (8 vCPU, 32 GB of memory, 128 GB disk), and provides 1 executor per worker. We recommend this worker type for memory-intensive jobs.
    • builder

      @Stability(Stable) static CfnJobProps.Builder builder()
      a CfnJobProps.Builder of CfnJobProps