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// Code generated by smithy-kotlin-codegen. DO NOT EDIT!
package aws.sdk.kotlin.services.glue.model
import aws.smithy.kotlin.runtime.SdkDsl
/**
* Specifies information used to update an existing job definition. The previous job definition is completely overwritten by this information.
*/
public class JobUpdate private constructor(builder: Builder) {
/**
* This field 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](https://aws.amazon.com/glue/pricing/).
*/
@Deprecated("This property is deprecated, use MaxCapacity instead.")
public val allocatedCapacity: kotlin.Int = builder.allocatedCapacity
/**
* The representation of a directed acyclic graph on which both the Glue Studio visual component and Glue Studio code generation is based.
*/
public val codeGenConfigurationNodes: Map? = builder.codeGenConfigurationNodes
/**
* The `JobCommand` that runs this job (required).
*/
public val command: aws.sdk.kotlin.services.glue.model.JobCommand? = builder.command
/**
* The connections used for this job.
*/
public val connections: aws.sdk.kotlin.services.glue.model.ConnectionsList? = builder.connections
/**
* 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](https://docs.aws.amazon.com/glue/latest/dg/aws-glue-programming-python-calling.html) 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](https://docs.aws.amazon.com/glue/latest/dg/aws-glue-programming-etl-glue-arguments.html) 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](https://docs.aws.amazon.com/glue/latest/dg/author-job-ray-job-parameters.html) in the developer guide.
*/
public val defaultArguments: Map? = builder.defaultArguments
/**
* Description of the job being defined.
*/
public val description: kotlin.String? = builder.description
/**
* 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.
*/
public val executionClass: aws.sdk.kotlin.services.glue.model.ExecutionClass? = builder.executionClass
/**
* An `ExecutionProperty` specifying the maximum number of concurrent runs allowed for this job.
*/
public val executionProperty: aws.sdk.kotlin.services.glue.model.ExecutionProperty? = builder.executionProperty
/**
* 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](https://docs.aws.amazon.com/glue/latest/dg/add-job.html) in the developer guide.
*
* Jobs that are created without specifying a Glue version default to Glue 0.9.
*/
public val glueVersion: kotlin.String? = builder.glueVersion
/**
* A mode that describes how a job was created. Valid values are:
* + `SCRIPT` - The job was created using the Glue Studio script editor.
* + `VISUAL` - The job was created using the 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.
*/
public val jobMode: aws.sdk.kotlin.services.glue.model.JobMode? = builder.jobMode
/**
* 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.
*/
public val jobRunQueuingEnabled: kotlin.Boolean? = builder.jobRunQueuingEnabled
/**
* This field is reserved for future use.
*/
public val logUri: kotlin.String? = builder.logUri
/**
* This field specifies a day of the week and hour for a maintenance window for streaming jobs. Glue periodically performs maintenance activities. During these maintenance windows, Glue will need to restart your streaming jobs.
*
* 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.
*/
public val maintenanceWindow: kotlin.String? = builder.maintenanceWindow
/**
* 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](https://aws.amazon.com/glue/pricing/).
*
* 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.
*/
public val maxCapacity: kotlin.Double? = builder.maxCapacity
/**
* The maximum number of times to retry this job if it fails.
*/
public val maxRetries: kotlin.Int = builder.maxRetries
/**
* Arguments for this job that are not overridden when providing job arguments in a job run, specified as name-value pairs.
*/
public val nonOverridableArguments: Map? = builder.nonOverridableArguments
/**
* Specifies the configuration properties of a job notification.
*/
public val notificationProperty: aws.sdk.kotlin.services.glue.model.NotificationProperty? = builder.notificationProperty
/**
* The number of workers of a defined `workerType` that are allocated when a job runs.
*/
public val numberOfWorkers: kotlin.Int? = builder.numberOfWorkers
/**
* The name or Amazon Resource Name (ARN) of the IAM role associated with this job (required).
*/
public val role: kotlin.String? = builder.role
/**
* The name of the `SecurityConfiguration` structure to be used with this job.
*/
public val securityConfiguration: kotlin.String? = builder.securityConfiguration
/**
* The details for a source control configuration for a job, allowing synchronization of job artifacts to or from a remote repository.
*/
public val sourceControlDetails: aws.sdk.kotlin.services.glue.model.SourceControlDetails? = builder.sourceControlDetails
/**
* 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 batch jobs.
*
* Streaming jobs must have timeout values less than 7 days or 10080 minutes. When the value is left blank, the job will be restarted after 7 days based if you have not setup a maintenance window. If you have setup maintenance window, it will be restarted during the maintenance window after 7 days.
*/
public val timeout: kotlin.Int? = builder.timeout
/**
* 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.
*/
public val workerType: aws.sdk.kotlin.services.glue.model.WorkerType? = builder.workerType
public companion object {
public operator fun invoke(block: Builder.() -> kotlin.Unit): aws.sdk.kotlin.services.glue.model.JobUpdate = Builder().apply(block).build()
}
override fun toString(): kotlin.String = buildString {
append("JobUpdate(")
append("allocatedCapacity=$allocatedCapacity,")
append("codeGenConfigurationNodes=*** Sensitive Data Redacted ***,")
append("command=$command,")
append("connections=$connections,")
append("defaultArguments=$defaultArguments,")
append("description=$description,")
append("executionClass=$executionClass,")
append("executionProperty=$executionProperty,")
append("glueVersion=$glueVersion,")
append("jobMode=$jobMode,")
append("jobRunQueuingEnabled=$jobRunQueuingEnabled,")
append("logUri=$logUri,")
append("maintenanceWindow=$maintenanceWindow,")
append("maxCapacity=$maxCapacity,")
append("maxRetries=$maxRetries,")
append("nonOverridableArguments=$nonOverridableArguments,")
append("notificationProperty=$notificationProperty,")
append("numberOfWorkers=$numberOfWorkers,")
append("role=$role,")
append("securityConfiguration=$securityConfiguration,")
append("sourceControlDetails=$sourceControlDetails,")
append("timeout=$timeout,")
append("workerType=$workerType")
append(")")
}
override fun hashCode(): kotlin.Int {
var result = allocatedCapacity
result = 31 * result + (codeGenConfigurationNodes?.hashCode() ?: 0)
result = 31 * result + (command?.hashCode() ?: 0)
result = 31 * result + (connections?.hashCode() ?: 0)
result = 31 * result + (defaultArguments?.hashCode() ?: 0)
result = 31 * result + (description?.hashCode() ?: 0)
result = 31 * result + (executionClass?.hashCode() ?: 0)
result = 31 * result + (executionProperty?.hashCode() ?: 0)
result = 31 * result + (glueVersion?.hashCode() ?: 0)
result = 31 * result + (jobMode?.hashCode() ?: 0)
result = 31 * result + (jobRunQueuingEnabled?.hashCode() ?: 0)
result = 31 * result + (logUri?.hashCode() ?: 0)
result = 31 * result + (maintenanceWindow?.hashCode() ?: 0)
result = 31 * result + (maxCapacity?.hashCode() ?: 0)
result = 31 * result + (maxRetries)
result = 31 * result + (nonOverridableArguments?.hashCode() ?: 0)
result = 31 * result + (notificationProperty?.hashCode() ?: 0)
result = 31 * result + (numberOfWorkers ?: 0)
result = 31 * result + (role?.hashCode() ?: 0)
result = 31 * result + (securityConfiguration?.hashCode() ?: 0)
result = 31 * result + (sourceControlDetails?.hashCode() ?: 0)
result = 31 * result + (timeout ?: 0)
result = 31 * result + (workerType?.hashCode() ?: 0)
return result
}
override fun equals(other: kotlin.Any?): kotlin.Boolean {
if (this === other) return true
if (other == null || this::class != other::class) return false
other as JobUpdate
if (allocatedCapacity != other.allocatedCapacity) return false
if (codeGenConfigurationNodes != other.codeGenConfigurationNodes) return false
if (command != other.command) return false
if (connections != other.connections) return false
if (defaultArguments != other.defaultArguments) return false
if (description != other.description) return false
if (executionClass != other.executionClass) return false
if (executionProperty != other.executionProperty) return false
if (glueVersion != other.glueVersion) return false
if (jobMode != other.jobMode) return false
if (jobRunQueuingEnabled != other.jobRunQueuingEnabled) return false
if (logUri != other.logUri) return false
if (maintenanceWindow != other.maintenanceWindow) return false
if (!(maxCapacity?.equals(other.maxCapacity) ?: (other.maxCapacity == null))) return false
if (maxRetries != other.maxRetries) return false
if (nonOverridableArguments != other.nonOverridableArguments) return false
if (notificationProperty != other.notificationProperty) return false
if (numberOfWorkers != other.numberOfWorkers) return false
if (role != other.role) return false
if (securityConfiguration != other.securityConfiguration) return false
if (sourceControlDetails != other.sourceControlDetails) return false
if (timeout != other.timeout) return false
if (workerType != other.workerType) return false
return true
}
public inline fun copy(block: Builder.() -> kotlin.Unit = {}): aws.sdk.kotlin.services.glue.model.JobUpdate = Builder(this).apply(block).build()
@SdkDsl
public class Builder {
/**
* This field 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](https://aws.amazon.com/glue/pricing/).
*/
@Deprecated("This property is deprecated, use MaxCapacity instead.")
public var allocatedCapacity: kotlin.Int = 0
/**
* The representation of a directed acyclic graph on which both the Glue Studio visual component and Glue Studio code generation is based.
*/
public var codeGenConfigurationNodes: Map? = null
/**
* The `JobCommand` that runs this job (required).
*/
public var command: aws.sdk.kotlin.services.glue.model.JobCommand? = null
/**
* The connections used for this job.
*/
public var connections: aws.sdk.kotlin.services.glue.model.ConnectionsList? = null
/**
* 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](https://docs.aws.amazon.com/glue/latest/dg/aws-glue-programming-python-calling.html) 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](https://docs.aws.amazon.com/glue/latest/dg/aws-glue-programming-etl-glue-arguments.html) 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](https://docs.aws.amazon.com/glue/latest/dg/author-job-ray-job-parameters.html) in the developer guide.
*/
public var defaultArguments: Map? = null
/**
* Description of the job being defined.
*/
public var description: kotlin.String? = null
/**
* 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.
*/
public var executionClass: aws.sdk.kotlin.services.glue.model.ExecutionClass? = null
/**
* An `ExecutionProperty` specifying the maximum number of concurrent runs allowed for this job.
*/
public var executionProperty: aws.sdk.kotlin.services.glue.model.ExecutionProperty? = null
/**
* 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](https://docs.aws.amazon.com/glue/latest/dg/add-job.html) in the developer guide.
*
* Jobs that are created without specifying a Glue version default to Glue 0.9.
*/
public var glueVersion: kotlin.String? = null
/**
* A mode that describes how a job was created. Valid values are:
* + `SCRIPT` - The job was created using the Glue Studio script editor.
* + `VISUAL` - The job was created using the 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.
*/
public var jobMode: aws.sdk.kotlin.services.glue.model.JobMode? = null
/**
* 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.
*/
public var jobRunQueuingEnabled: kotlin.Boolean? = null
/**
* This field is reserved for future use.
*/
public var logUri: kotlin.String? = null
/**
* This field specifies a day of the week and hour for a maintenance window for streaming jobs. Glue periodically performs maintenance activities. During these maintenance windows, Glue will need to restart your streaming jobs.
*
* 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.
*/
public var maintenanceWindow: kotlin.String? = null
/**
* 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](https://aws.amazon.com/glue/pricing/).
*
* 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.
*/
public var maxCapacity: kotlin.Double? = null
/**
* The maximum number of times to retry this job if it fails.
*/
public var maxRetries: kotlin.Int = 0
/**
* Arguments for this job that are not overridden when providing job arguments in a job run, specified as name-value pairs.
*/
public var nonOverridableArguments: Map? = null
/**
* Specifies the configuration properties of a job notification.
*/
public var notificationProperty: aws.sdk.kotlin.services.glue.model.NotificationProperty? = null
/**
* The number of workers of a defined `workerType` that are allocated when a job runs.
*/
public var numberOfWorkers: kotlin.Int? = null
/**
* The name or Amazon Resource Name (ARN) of the IAM role associated with this job (required).
*/
public var role: kotlin.String? = null
/**
* The name of the `SecurityConfiguration` structure to be used with this job.
*/
public var securityConfiguration: kotlin.String? = null
/**
* The details for a source control configuration for a job, allowing synchronization of job artifacts to or from a remote repository.
*/
public var sourceControlDetails: aws.sdk.kotlin.services.glue.model.SourceControlDetails? = null
/**
* 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 batch jobs.
*
* Streaming jobs must have timeout values less than 7 days or 10080 minutes. When the value is left blank, the job will be restarted after 7 days based if you have not setup a maintenance window. If you have setup maintenance window, it will be restarted during the maintenance window after 7 days.
*/
public var timeout: kotlin.Int? = null
/**
* 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.
*/
public var workerType: aws.sdk.kotlin.services.glue.model.WorkerType? = null
@PublishedApi
internal constructor()
@PublishedApi
internal constructor(x: aws.sdk.kotlin.services.glue.model.JobUpdate) : this() {
this.allocatedCapacity = x.allocatedCapacity
this.codeGenConfigurationNodes = x.codeGenConfigurationNodes
this.command = x.command
this.connections = x.connections
this.defaultArguments = x.defaultArguments
this.description = x.description
this.executionClass = x.executionClass
this.executionProperty = x.executionProperty
this.glueVersion = x.glueVersion
this.jobMode = x.jobMode
this.jobRunQueuingEnabled = x.jobRunQueuingEnabled
this.logUri = x.logUri
this.maintenanceWindow = x.maintenanceWindow
this.maxCapacity = x.maxCapacity
this.maxRetries = x.maxRetries
this.nonOverridableArguments = x.nonOverridableArguments
this.notificationProperty = x.notificationProperty
this.numberOfWorkers = x.numberOfWorkers
this.role = x.role
this.securityConfiguration = x.securityConfiguration
this.sourceControlDetails = x.sourceControlDetails
this.timeout = x.timeout
this.workerType = x.workerType
}
@PublishedApi
internal fun build(): aws.sdk.kotlin.services.glue.model.JobUpdate = JobUpdate(this)
/**
* construct an [aws.sdk.kotlin.services.glue.model.JobCommand] inside the given [block]
*/
public fun command(block: aws.sdk.kotlin.services.glue.model.JobCommand.Builder.() -> kotlin.Unit) {
this.command = aws.sdk.kotlin.services.glue.model.JobCommand.invoke(block)
}
/**
* construct an [aws.sdk.kotlin.services.glue.model.ConnectionsList] inside the given [block]
*/
public fun connections(block: aws.sdk.kotlin.services.glue.model.ConnectionsList.Builder.() -> kotlin.Unit) {
this.connections = aws.sdk.kotlin.services.glue.model.ConnectionsList.invoke(block)
}
/**
* construct an [aws.sdk.kotlin.services.glue.model.ExecutionProperty] inside the given [block]
*/
public fun executionProperty(block: aws.sdk.kotlin.services.glue.model.ExecutionProperty.Builder.() -> kotlin.Unit) {
this.executionProperty = aws.sdk.kotlin.services.glue.model.ExecutionProperty.invoke(block)
}
/**
* construct an [aws.sdk.kotlin.services.glue.model.NotificationProperty] inside the given [block]
*/
public fun notificationProperty(block: aws.sdk.kotlin.services.glue.model.NotificationProperty.Builder.() -> kotlin.Unit) {
this.notificationProperty = aws.sdk.kotlin.services.glue.model.NotificationProperty.invoke(block)
}
/**
* construct an [aws.sdk.kotlin.services.glue.model.SourceControlDetails] inside the given [block]
*/
public fun sourceControlDetails(block: aws.sdk.kotlin.services.glue.model.SourceControlDetails.Builder.() -> kotlin.Unit) {
this.sourceControlDetails = aws.sdk.kotlin.services.glue.model.SourceControlDetails.invoke(block)
}
internal fun correctErrors(): Builder {
return this
}
}
}
