Creates a new job definition.
See https://www.paws-r-sdk.com/docs/glue_create_job/ for full documentation.
glue_create_job(
Name,
Description = NULL,
LogUri = NULL,
Role,
ExecutionProperty = NULL,
Command,
DefaultArguments = NULL,
NonOverridableArguments = NULL,
Connections = NULL,
MaxRetries = NULL,
AllocatedCapacity = NULL,
Timeout = NULL,
MaxCapacity = NULL,
SecurityConfiguration = NULL,
Tags = NULL,
NotificationProperty = NULL,
GlueVersion = NULL,
NumberOfWorkers = NULL,
WorkerType = NULL,
CodeGenConfigurationNodes = NULL,
ExecutionClass = NULL,
SourceControlDetails = NULL
)[required] The name you assign to this job definition. It must be unique in your account.
Description of the job being defined.
This field is reserved for future use.
[required] The name or Amazon Resource Name (ARN) of the IAM role associated with this job.
An ExecutionProperty specifying the maximum number of concurrent runs
allowed for this job.
[required] The JobCommand that runs this job.
The default arguments for every run of this job, specified as name-value pairs.
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.
Arguments for this job that are not overridden when providing job arguments in a job run, specified as name-value pairs.
The connections used for this job.
The maximum number of times to retry this job if it fails.
This parameter is deprecated. Use MaxCapacity instead.
The number of Glue data processing units (DPUs) to allocate to this Job. You can allocate a minimum of 2 DPUs; 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.
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).
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.
The name of the SecurityConfiguration structure to be used with this
job.
The tags to use with this job. You may use tags to limit access to the job. For more information about tags in Glue, see Amazon Web Services Tags in Glue in the developer guide.
Specifies configuration properties of a job notification.
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.
The number of workers of a defined workerType that are allocated when
a job runs.
The type of predefined worker that is allocated when a job runs. Accepts a value of Standard, G.1X, G.2X, or G.025X for Spark jobs. Accepts the value Z.2X for Ray jobs.
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.
For the G.025X worker type, each worker maps to 0.25 DPU (2 vCPU,
4 GB of memory, 64 GB disk), 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 (8vCPU, 64
GB of m emory, 128 GB disk), and provides up to 8 Ray workers based
on the autoscaler.
The representation of a directed acyclic graph on which both the Glue Studio visual component and Glue Studio code generation is based.
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.
The details for a source control configuration for a job, allowing synchronization of job artifacts to or from a remote repository.