Class CfnJob.Builder
- All Implemented Interfaces:
software.amazon.jsii.Builder<CfnJob>
- Enclosing class:
CfnJob
CfnJob
.-
Method Summary
Modifier and TypeMethodDescriptionallocatedCapacity
(Number allocatedCapacity) This parameter is no longer supported.build()
command
(IResolvable command) The code that executes a job.command
(CfnJob.JobCommandProperty command) The code that executes a job.connections
(IResolvable connections) The connections used for this job.connections
(CfnJob.ConnectionsListProperty connections) The connections used for this job.static CfnJob.Builder
defaultArguments
(Object defaultArguments) The default arguments for this job, specified as name-value pairs.description
(String description) A description of the job.executionClass
(String executionClass) Indicates whether the job is run with a standard or flexible execution class.executionProperty
(IResolvable executionProperty) The maximum number of concurrent runs that are allowed for this job.executionProperty
(CfnJob.ExecutionPropertyProperty executionProperty) The maximum number of concurrent runs that are allowed for this job.glueVersion
(String glueVersion) Glue version determines the versions of Apache Spark and Python that AWS Glue supports.A mode that describes how a job was created.jobRunQueuingEnabled
(Boolean jobRunQueuingEnabled) Specifies whether job run queuing is enabled for the job runs for this job.jobRunQueuingEnabled
(IResolvable jobRunQueuingEnabled) Specifies whether job run queuing is enabled for the job runs for this job.This field is reserved for future use.maintenanceWindow
(String maintenanceWindow) This field specifies a day of the week and hour for a maintenance window for streaming jobs.maxCapacity
(Number maxCapacity) The number of AWS Glue data processing units (DPUs) that can be allocated when this job runs.maxRetries
(Number maxRetries) The maximum number of times to retry this job after a JobRun fails.The name you assign to this job definition.nonOverridableArguments
(Object nonOverridableArguments) Non-overridable arguments for this job, specified as name-value pairs.notificationProperty
(IResolvable notificationProperty) Specifies configuration properties of a notification.notificationProperty
(CfnJob.NotificationPropertyProperty notificationProperty) Specifies configuration properties of a notification.numberOfWorkers
(Number numberOfWorkers) The number of workers of a definedworkerType
that are allocated when a job runs.The name or Amazon Resource Name (ARN) of the IAM role associated with this job.securityConfiguration
(String securityConfiguration) The name of theSecurityConfiguration
structure to be used with this job.The tags to use with this job.The job timeout in minutes.workerType
(String workerType) The type of predefined worker that is allocated when a job runs.
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Method Details
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create
@Stability(Stable) public static CfnJob.Builder create(software.constructs.Construct scope, String id) - Parameters:
scope
- Scope in which this resource is defined. This parameter is required.id
- Construct identifier for this resource (unique in its scope). This parameter is required.- Returns:
- a new instance of
CfnJob.Builder
.
-
command
The code that executes a job.- Parameters:
command
- The code that executes a job. This parameter is required.- Returns:
this
- See Also:
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command
The code that executes a job.- Parameters:
command
- The code that executes a job. This parameter is required.- Returns:
this
- See Also:
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role
The name or Amazon Resource Name (ARN) of the IAM role associated with this job.- Parameters:
role
- The name or Amazon Resource Name (ARN) of the IAM role associated with this job. This parameter is required.- Returns:
this
- See Also:
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allocatedCapacity
This parameter is no longer supported. UseMaxCapacity
instead.The number of capacity units that are allocated to this job.
- Parameters:
allocatedCapacity
- This parameter is no longer supported. UseMaxCapacity
instead. This parameter is required.- Returns:
this
- See Also:
-
connections
The connections used for this job.- Parameters:
connections
- The connections used for this job. This parameter is required.- Returns:
this
- See Also:
-
connections
The connections used for this job.- Parameters:
connections
- The connections used for this job. This parameter is required.- Returns:
this
- See Also:
-
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 .
- Parameters:
defaultArguments
- The default arguments for this job, specified as name-value pairs. This parameter is required.- Returns:
this
- See Also:
-
description
A description of the job.- Parameters:
description
- A description of the job. This parameter is required.- Returns:
this
- See Also:
-
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 setExecutionClass
toFLEX
. The flexible execution class is available for Spark jobs.- Parameters:
executionClass
- Indicates whether the job is run with a standard or flexible execution class. This parameter is required.- Returns:
this
- See Also:
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executionProperty
The maximum number of concurrent runs that are allowed for this job.- Parameters:
executionProperty
- The maximum number of concurrent runs that are allowed for this job. This parameter is required.- Returns:
this
- See Also:
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executionProperty
@Stability(Stable) public CfnJob.Builder executionProperty(CfnJob.ExecutionPropertyProperty executionProperty) The maximum number of concurrent runs that are allowed for this job.- Parameters:
executionProperty
- The maximum number of concurrent runs that are allowed for this job. This parameter is required.- Returns:
this
- See Also:
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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 the latest Glue version available.
- Parameters:
glueVersion
- Glue version determines the versions of Apache Spark and Python that AWS Glue supports. This parameter is required.- Returns:
this
- See Also:
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jobMode
A mode that describes how a job was created. Valid values are:.SCRIPT
- The job was created using the AWS Glue Studio script editor.VISUAL
- The job was created using the AWS Glue Studio visual editor.NOTEBOOK
- The job was created using an interactive sessions notebook.
When the
JobMode
field is missing or null,SCRIPT
is assigned as the default value.- Parameters:
jobMode
- A mode that describes how a job was created. Valid values are:. This parameter is required.- Returns:
this
- See Also:
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jobRunQueuingEnabled
Specifies whether job run queuing is enabled for the job runs for this job.A value of true means job run queuing is enabled for the job runs. If false or not populated, the job runs will not be considered for queueing.
If this field does not match the value set in the job run, then the value from the job run field will be used.
- Parameters:
jobRunQueuingEnabled
- Specifies whether job run queuing is enabled for the job runs for this job. This parameter is required.- Returns:
this
- See Also:
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jobRunQueuingEnabled
Specifies whether job run queuing is enabled for the job runs for this job.A value of true means job run queuing is enabled for the job runs. If false or not populated, the job runs will not be considered for queueing.
If this field does not match the value set in the job run, then the value from the job run field will be used.
- Parameters:
jobRunQueuingEnabled
- Specifies whether job run queuing is enabled for the job runs for this job. This parameter is required.- Returns:
this
- See Also:
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logUri
This field is reserved for future use.- Parameters:
logUri
- This field is reserved for future use. This parameter is required.- Returns:
this
- See Also:
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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.
- Parameters:
maintenanceWindow
- This field specifies a day of the week and hour for a maintenance window for streaming jobs. This parameter is required.- Returns:
this
- See Also:
-
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 usingWorkerType
andNumberOfWorkers
.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.
- Parameters:
maxCapacity
- The number of AWS Glue data processing units (DPUs) that can be allocated when this job runs. This parameter is required.- Returns:
this
- See Also:
- When you specify a Python shell job (
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maxRetries
The maximum number of times to retry this job after a JobRun fails.- Parameters:
maxRetries
- The maximum number of times to retry this job after a JobRun fails. This parameter is required.- Returns:
this
- See Also:
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name
The name you assign to this job definition.- Parameters:
name
- The name you assign to this job definition. This parameter is required.- Returns:
this
- See Also:
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nonOverridableArguments
Non-overridable arguments for this job, specified as name-value pairs.- Parameters:
nonOverridableArguments
- Non-overridable arguments for this job, specified as name-value pairs. This parameter is required.- Returns:
this
- See Also:
-
notificationProperty
Specifies configuration properties of a notification.- Parameters:
notificationProperty
- Specifies configuration properties of a notification. This parameter is required.- Returns:
this
- See Also:
-
notificationProperty
@Stability(Stable) public CfnJob.Builder notificationProperty(CfnJob.NotificationPropertyProperty notificationProperty) Specifies configuration properties of a notification.- Parameters:
notificationProperty
- Specifies configuration properties of a notification. This parameter is required.- Returns:
this
- See Also:
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numberOfWorkers
The number of workers of a definedworkerType
that are allocated when a job runs.The maximum number of workers you can define are 299 for
G.1X
, and 149 forG.2X
.- Parameters:
numberOfWorkers
- The number of workers of a definedworkerType
that are allocated when a job runs. This parameter is required.- Returns:
this
- See Also:
-
securityConfiguration
The name of theSecurityConfiguration
structure to be used with this job.- Parameters:
securityConfiguration
- The name of theSecurityConfiguration
structure to be used with this job. This parameter is required.- Returns:
this
- See Also:
-
tags
The tags to use with this job.- Parameters:
tags
- The tags to use with this job. This parameter is required.- Returns:
this
- See Also:
-
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).
- Parameters:
timeout
- The job timeout in minutes. This parameter is required.- Returns:
this
- See Also:
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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 theG.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.
- Parameters:
workerType
- The type of predefined worker that is allocated when a job runs. This parameter is required.- Returns:
this
- See Also:
- For the
-
build
-