commonMain.aws.sdk.kotlin.services.glue.model.JobRun.kt Maven / Gradle / Ivy
Go to download
Show more of this group Show more artifacts with this name
Show all versions of glue-jvm Show documentation
Show all versions of glue-jvm Show documentation
The AWS SDK for Kotlin client for Glue
The newest version!
// Code generated by smithy-kotlin-codegen. DO NOT EDIT!
package aws.sdk.kotlin.services.glue.model
import aws.smithy.kotlin.runtime.SdkDsl
import aws.smithy.kotlin.runtime.time.Instant
/**
* Contains information about a job run.
*/
public class JobRun private constructor(builder: Builder) {
/**
* This field is deprecated. Use `MaxCapacity` instead.
*
* The number of Glue data processing units (DPUs) allocated to this JobRun. From 2 to 100 DPUs can be allocated; 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 job arguments associated with this run. For this job run, they replace the default arguments set in the job definition itself.
*
* 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 arguments: Map? = builder.arguments
/**
* The number of the attempt to run this job.
*/
public val attempt: kotlin.Int = builder.attempt
/**
* The date and time that this job run completed.
*/
public val completedOn: aws.smithy.kotlin.runtime.time.Instant? = builder.completedOn
/**
* This field can be set for either job runs with execution class `FLEX` or when Auto Scaling is enabled, and represents the total time each executor ran during the lifecycle of a job run in seconds, multiplied by a DPU factor (1 for `G.1X`, 2 for `G.2X`, or 0.25 for `G.025X` workers). This value may be different than the `executionEngineRuntime` * `MaxCapacity` as in the case of Auto Scaling jobs, as the number of executors running at a given time may be less than the `MaxCapacity`. Therefore, it is possible that the value of `DPUSeconds` is less than `executionEngineRuntime` * `MaxCapacity`.
*/
public val dpuSeconds: kotlin.Double? = builder.dpuSeconds
/**
* An error message associated with this job run.
*/
public val errorMessage: kotlin.String? = builder.errorMessage
/**
* 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
/**
* The amount of time (in seconds) that the job run consumed resources.
*/
public val executionTime: kotlin.Int = builder.executionTime
/**
* 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
/**
* The ID of this job run.
*/
public val id: kotlin.String? = builder.id
/**
* 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
/**
* The name of the job definition being used in this run.
*/
public val jobName: kotlin.String? = builder.jobName
/**
* Specifies whether job run queuing is enabled for the job run.
*
* A value of true means job run queuing is enabled for the job run. If false or not populated, the job run will not be considered for queueing.
*/
public val jobRunQueuingEnabled: kotlin.Boolean? = builder.jobRunQueuingEnabled
/**
* The current state of the job run. For more information about the statuses of jobs that have terminated abnormally, see [Glue Job Run Statuses](https://docs.aws.amazon.com/glue/latest/dg/job-run-statuses.html).
*/
public val jobRunState: aws.sdk.kotlin.services.glue.model.JobRunState? = builder.jobRunState
/**
* The last time that this job run was modified.
*/
public val lastModifiedOn: aws.smithy.kotlin.runtime.time.Instant? = builder.lastModifiedOn
/**
* The name of the log group for secure logging that can be server-side encrypted in Amazon CloudWatch using KMS. This name can be `/aws-glue/jobs/`, in which case the default encryption is `NONE`. If you add a role name and `SecurityConfiguration` name (in other words, `/aws-glue/jobs-yourRoleName-yourSecurityConfigurationName/`), then that security configuration is used to encrypt the log group.
*/
public val logGroupName: kotlin.String? = builder.logGroupName
/**
* 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
/**
* Specifies configuration properties of a job run 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
/**
* A list of predecessors to this job run.
*/
public val predecessorRuns: List? = builder.predecessorRuns
/**
* The ID of the previous run of this job. For example, the `JobRunId` specified in the `StartJobRun` action.
*/
public val previousRunId: kotlin.String? = builder.previousRunId
/**
* The name of an Glue usage profile associated with the job run.
*/
public val profileName: kotlin.String? = builder.profileName
/**
* The name of the `SecurityConfiguration` structure to be used with this job run.
*/
public val securityConfiguration: kotlin.String? = builder.securityConfiguration
/**
* The date and time at which this job run was started.
*/
public val startedOn: aws.smithy.kotlin.runtime.time.Instant? = builder.startedOn
/**
* This field holds details that pertain to the state of a job run. The field is nullable.
*
* For example, when a job run is in a WAITING state as a result of job run queuing, the field has the reason why the job run is in that state.
*/
public val stateDetail: kotlin.String? = builder.stateDetail
/**
* The `JobRun` timeout in minutes. This is the maximum time that a job run can consume resources before it is terminated and enters `TIMEOUT` status. This value overrides the timeout value set in the parent job.
*
* 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 name of the trigger that started this job run.
*/
public val triggerName: kotlin.String? = builder.triggerName
/**
* 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.JobRun = Builder().apply(block).build()
}
override fun toString(): kotlin.String = buildString {
append("JobRun(")
append("allocatedCapacity=$allocatedCapacity,")
append("arguments=$arguments,")
append("attempt=$attempt,")
append("completedOn=$completedOn,")
append("dpuSeconds=$dpuSeconds,")
append("errorMessage=$errorMessage,")
append("executionClass=$executionClass,")
append("executionTime=$executionTime,")
append("glueVersion=$glueVersion,")
append("id=$id,")
append("jobMode=$jobMode,")
append("jobName=$jobName,")
append("jobRunQueuingEnabled=$jobRunQueuingEnabled,")
append("jobRunState=$jobRunState,")
append("lastModifiedOn=$lastModifiedOn,")
append("logGroupName=$logGroupName,")
append("maintenanceWindow=$maintenanceWindow,")
append("maxCapacity=$maxCapacity,")
append("notificationProperty=$notificationProperty,")
append("numberOfWorkers=$numberOfWorkers,")
append("predecessorRuns=$predecessorRuns,")
append("previousRunId=$previousRunId,")
append("profileName=$profileName,")
append("securityConfiguration=$securityConfiguration,")
append("startedOn=$startedOn,")
append("stateDetail=$stateDetail,")
append("timeout=$timeout,")
append("triggerName=$triggerName,")
append("workerType=$workerType")
append(")")
}
override fun hashCode(): kotlin.Int {
var result = allocatedCapacity
result = 31 * result + (arguments?.hashCode() ?: 0)
result = 31 * result + (attempt)
result = 31 * result + (completedOn?.hashCode() ?: 0)
result = 31 * result + (dpuSeconds?.hashCode() ?: 0)
result = 31 * result + (errorMessage?.hashCode() ?: 0)
result = 31 * result + (executionClass?.hashCode() ?: 0)
result = 31 * result + (executionTime)
result = 31 * result + (glueVersion?.hashCode() ?: 0)
result = 31 * result + (id?.hashCode() ?: 0)
result = 31 * result + (jobMode?.hashCode() ?: 0)
result = 31 * result + (jobName?.hashCode() ?: 0)
result = 31 * result + (jobRunQueuingEnabled?.hashCode() ?: 0)
result = 31 * result + (jobRunState?.hashCode() ?: 0)
result = 31 * result + (lastModifiedOn?.hashCode() ?: 0)
result = 31 * result + (logGroupName?.hashCode() ?: 0)
result = 31 * result + (maintenanceWindow?.hashCode() ?: 0)
result = 31 * result + (maxCapacity?.hashCode() ?: 0)
result = 31 * result + (notificationProperty?.hashCode() ?: 0)
result = 31 * result + (numberOfWorkers ?: 0)
result = 31 * result + (predecessorRuns?.hashCode() ?: 0)
result = 31 * result + (previousRunId?.hashCode() ?: 0)
result = 31 * result + (profileName?.hashCode() ?: 0)
result = 31 * result + (securityConfiguration?.hashCode() ?: 0)
result = 31 * result + (startedOn?.hashCode() ?: 0)
result = 31 * result + (stateDetail?.hashCode() ?: 0)
result = 31 * result + (timeout ?: 0)
result = 31 * result + (triggerName?.hashCode() ?: 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 JobRun
if (allocatedCapacity != other.allocatedCapacity) return false
if (arguments != other.arguments) return false
if (attempt != other.attempt) return false
if (completedOn != other.completedOn) return false
if (!(dpuSeconds?.equals(other.dpuSeconds) ?: (other.dpuSeconds == null))) return false
if (errorMessage != other.errorMessage) return false
if (executionClass != other.executionClass) return false
if (executionTime != other.executionTime) return false
if (glueVersion != other.glueVersion) return false
if (id != other.id) return false
if (jobMode != other.jobMode) return false
if (jobName != other.jobName) return false
if (jobRunQueuingEnabled != other.jobRunQueuingEnabled) return false
if (jobRunState != other.jobRunState) return false
if (lastModifiedOn != other.lastModifiedOn) return false
if (logGroupName != other.logGroupName) return false
if (maintenanceWindow != other.maintenanceWindow) return false
if (!(maxCapacity?.equals(other.maxCapacity) ?: (other.maxCapacity == null))) return false
if (notificationProperty != other.notificationProperty) return false
if (numberOfWorkers != other.numberOfWorkers) return false
if (predecessorRuns != other.predecessorRuns) return false
if (previousRunId != other.previousRunId) return false
if (profileName != other.profileName) return false
if (securityConfiguration != other.securityConfiguration) return false
if (startedOn != other.startedOn) return false
if (stateDetail != other.stateDetail) return false
if (timeout != other.timeout) return false
if (triggerName != other.triggerName) return false
if (workerType != other.workerType) return false
return true
}
public inline fun copy(block: Builder.() -> kotlin.Unit = {}): aws.sdk.kotlin.services.glue.model.JobRun = Builder(this).apply(block).build()
@SdkDsl
public class Builder {
/**
* This field is deprecated. Use `MaxCapacity` instead.
*
* The number of Glue data processing units (DPUs) allocated to this JobRun. From 2 to 100 DPUs can be allocated; 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 job arguments associated with this run. For this job run, they replace the default arguments set in the job definition itself.
*
* 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 arguments: Map? = null
/**
* The number of the attempt to run this job.
*/
public var attempt: kotlin.Int = 0
/**
* The date and time that this job run completed.
*/
public var completedOn: aws.smithy.kotlin.runtime.time.Instant? = null
/**
* This field can be set for either job runs with execution class `FLEX` or when Auto Scaling is enabled, and represents the total time each executor ran during the lifecycle of a job run in seconds, multiplied by a DPU factor (1 for `G.1X`, 2 for `G.2X`, or 0.25 for `G.025X` workers). This value may be different than the `executionEngineRuntime` * `MaxCapacity` as in the case of Auto Scaling jobs, as the number of executors running at a given time may be less than the `MaxCapacity`. Therefore, it is possible that the value of `DPUSeconds` is less than `executionEngineRuntime` * `MaxCapacity`.
*/
public var dpuSeconds: kotlin.Double? = null
/**
* An error message associated with this job run.
*/
public var errorMessage: 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
/**
* The amount of time (in seconds) that the job run consumed resources.
*/
public var executionTime: kotlin.Int = 0
/**
* 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
/**
* The ID of this job run.
*/
public var id: 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
/**
* The name of the job definition being used in this run.
*/
public var jobName: kotlin.String? = null
/**
* Specifies whether job run queuing is enabled for the job run.
*
* A value of true means job run queuing is enabled for the job run. If false or not populated, the job run will not be considered for queueing.
*/
public var jobRunQueuingEnabled: kotlin.Boolean? = null
/**
* The current state of the job run. For more information about the statuses of jobs that have terminated abnormally, see [Glue Job Run Statuses](https://docs.aws.amazon.com/glue/latest/dg/job-run-statuses.html).
*/
public var jobRunState: aws.sdk.kotlin.services.glue.model.JobRunState? = null
/**
* The last time that this job run was modified.
*/
public var lastModifiedOn: aws.smithy.kotlin.runtime.time.Instant? = null
/**
* The name of the log group for secure logging that can be server-side encrypted in Amazon CloudWatch using KMS. This name can be `/aws-glue/jobs/`, in which case the default encryption is `NONE`. If you add a role name and `SecurityConfiguration` name (in other words, `/aws-glue/jobs-yourRoleName-yourSecurityConfigurationName/`), then that security configuration is used to encrypt the log group.
*/
public var logGroupName: 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
/**
* Specifies configuration properties of a job run 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
/**
* A list of predecessors to this job run.
*/
public var predecessorRuns: List? = null
/**
* The ID of the previous run of this job. For example, the `JobRunId` specified in the `StartJobRun` action.
*/
public var previousRunId: kotlin.String? = null
/**
* The name of an Glue usage profile associated with the job run.
*/
public var profileName: kotlin.String? = null
/**
* The name of the `SecurityConfiguration` structure to be used with this job run.
*/
public var securityConfiguration: kotlin.String? = null
/**
* The date and time at which this job run was started.
*/
public var startedOn: aws.smithy.kotlin.runtime.time.Instant? = null
/**
* This field holds details that pertain to the state of a job run. The field is nullable.
*
* For example, when a job run is in a WAITING state as a result of job run queuing, the field has the reason why the job run is in that state.
*/
public var stateDetail: kotlin.String? = null
/**
* The `JobRun` timeout in minutes. This is the maximum time that a job run can consume resources before it is terminated and enters `TIMEOUT` status. This value overrides the timeout value set in the parent job.
*
* 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 name of the trigger that started this job run.
*/
public var triggerName: kotlin.String? = 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.JobRun) : this() {
this.allocatedCapacity = x.allocatedCapacity
this.arguments = x.arguments
this.attempt = x.attempt
this.completedOn = x.completedOn
this.dpuSeconds = x.dpuSeconds
this.errorMessage = x.errorMessage
this.executionClass = x.executionClass
this.executionTime = x.executionTime
this.glueVersion = x.glueVersion
this.id = x.id
this.jobMode = x.jobMode
this.jobName = x.jobName
this.jobRunQueuingEnabled = x.jobRunQueuingEnabled
this.jobRunState = x.jobRunState
this.lastModifiedOn = x.lastModifiedOn
this.logGroupName = x.logGroupName
this.maintenanceWindow = x.maintenanceWindow
this.maxCapacity = x.maxCapacity
this.notificationProperty = x.notificationProperty
this.numberOfWorkers = x.numberOfWorkers
this.predecessorRuns = x.predecessorRuns
this.previousRunId = x.previousRunId
this.profileName = x.profileName
this.securityConfiguration = x.securityConfiguration
this.startedOn = x.startedOn
this.stateDetail = x.stateDetail
this.timeout = x.timeout
this.triggerName = x.triggerName
this.workerType = x.workerType
}
@PublishedApi
internal fun build(): aws.sdk.kotlin.services.glue.model.JobRun = JobRun(this)
/**
* 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)
}
internal fun correctErrors(): Builder {
return this
}
}
}