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io.cloudshiftdev.awscdk.services.batch.FairshareSchedulingPolicy.kt Maven / Gradle / Ivy
@file:Suppress("RedundantVisibilityModifier","RedundantUnitReturnType","RemoveRedundantQualifierName","unused","UnusedImport","ClassName","REDUNDANT_PROJECTION","DEPRECATION")
package io.cloudshiftdev.awscdk.services.batch
import io.cloudshiftdev.awscdk.Duration
import io.cloudshiftdev.awscdk.Resource
import io.cloudshiftdev.awscdk.common.CdkDslMarker
import kotlin.Number
import kotlin.String
import kotlin.Unit
import kotlin.collections.List
import kotlin.jvm.JvmName
import io.cloudshiftdev.constructs.Construct as CloudshiftdevConstructsConstruct
import software.constructs.Construct as SoftwareConstructsConstruct
/**
* Represents a Fairshare Scheduling Policy. Instructs the scheduler to allocate ComputeEnvironment
* vCPUs based on Job shareIdentifiers.
*
* The Faireshare Scheduling Policy ensures that each share gets a certain amount of vCPUs.
* The scheduler does this by deciding how many Jobs of each share to schedule *relative to how many
* jobs of
* each share are currently being executed by the ComputeEnvironment*. The weight factors associated
* with
* each share determine the ratio of vCPUs allocated; see the readme for a more in-depth discussion
* of
* fairshare policies.
*
* Example:
*
* ```
* FairshareSchedulingPolicy fairsharePolicy = new FairshareSchedulingPolicy(this,
* "myFairsharePolicy");
* fairsharePolicy.addShare(Share.builder()
* .shareIdentifier("A")
* .weightFactor(1)
* .build());
* fairsharePolicy.addShare(Share.builder()
* .shareIdentifier("B")
* .weightFactor(1)
* .build());
* JobQueue.Builder.create(this, "JobQueue")
* .schedulingPolicy(fairsharePolicy)
* .build();
* ```
*/
public open class FairshareSchedulingPolicy(
cdkObject: software.amazon.awscdk.services.batch.FairshareSchedulingPolicy,
) : Resource(cdkObject),
IFairshareSchedulingPolicy,
ISchedulingPolicy {
public constructor(scope: CloudshiftdevConstructsConstruct, id: String) :
this(software.amazon.awscdk.services.batch.FairshareSchedulingPolicy(scope.let(CloudshiftdevConstructsConstruct.Companion::unwrap),
id)
)
public constructor(
scope: CloudshiftdevConstructsConstruct,
id: String,
props: FairshareSchedulingPolicyProps,
) :
this(software.amazon.awscdk.services.batch.FairshareSchedulingPolicy(scope.let(CloudshiftdevConstructsConstruct.Companion::unwrap),
id, props.let(FairshareSchedulingPolicyProps.Companion::unwrap))
)
public constructor(
scope: CloudshiftdevConstructsConstruct,
id: String,
props: FairshareSchedulingPolicyProps.Builder.() -> Unit,
) : this(scope, id, FairshareSchedulingPolicyProps(props)
)
/**
* Add a share this to this Fairshare SchedulingPolicy.
*
* @param share
*/
public open fun addShare(share: Share) {
unwrap(this).addShare(share.let(Share.Companion::unwrap))
}
/**
* Add a share this to this Fairshare SchedulingPolicy.
*
* @param share
*/
@kotlin.Suppress("INAPPLICABLE_JVM_NAME")
@JvmName("ec6ceb5998640af21ae4c6014c8665baf5292eda659901b90444fcde927d46f6")
public open fun addShare(share: Share.Builder.() -> Unit): Unit = addShare(Share(share))
/**
* Used to calculate the percentage of the maximum available vCPU to reserve for share identifiers
* not present in the Queue.
*
* The percentage reserved is defined by the Scheduler as:
* `(computeReservation/100)^ActiveFairShares` where `ActiveFairShares` is the number of active
* fair share identifiers.
*
* For example, a computeReservation value of 50 indicates that AWS Batch reserves 50% of the
* maximum available vCPU if there's only one fair share identifier.
* It reserves 25% if there are two fair share identifiers.
* It reserves 12.5% if there are three fair share identifiers.
*
* A computeReservation value of 25 indicates that AWS Batch should reserve 25% of the
* maximum available vCPU if there's only one fair share identifier,
* 6.25% if there are two fair share identifiers,
* and 1.56% if there are three fair share identifiers.
*/
public override fun computeReservation(): Number? = unwrap(this).getComputeReservation()
/**
* The arn of this scheduling policy.
*/
public override fun schedulingPolicyArn(): String = unwrap(this).getSchedulingPolicyArn()
/**
* The name of this scheduling policy.
*/
public override fun schedulingPolicyName(): String = unwrap(this).getSchedulingPolicyName()
/**
* The amount of time to use to measure the usage of each job.
*
* The usage is used to calculate a fair share percentage for each fair share identifier currently
* in the Queue.
* A value of zero (0) indicates that only current usage is measured.
* The decay is linear and gives preference to newer jobs.
*
* The maximum supported value is 604800 seconds (1 week).
*/
public override fun shareDecay(): Duration? = unwrap(this).getShareDecay()?.let(Duration::wrap)
/**
* The shares that this Scheduling Policy applies to.
*
* *Note*: It is possible to submit Jobs to the queue with Share Identifiers that
* are not recognized by the Scheduling Policy.
*/
public override fun shares(): List = unwrap(this).getShares().map(Share::wrap)
/**
* A fluent builder for [io.cloudshiftdev.awscdk.services.batch.FairshareSchedulingPolicy].
*/
@CdkDslMarker
public interface Builder {
/**
* Used to calculate the percentage of the maximum available vCPU to reserve for share
* identifiers not present in the Queue.
*
* The percentage reserved is defined by the Scheduler as:
* `(computeReservation/100)^ActiveFairShares` where `ActiveFairShares` is the number of active
* fair share identifiers.
*
* For example, a computeReservation value of 50 indicates that AWS Batch reserves 50% of the
* maximum available vCPU if there's only one fair share identifier.
* It reserves 25% if there are two fair share identifiers.
* It reserves 12.5% if there are three fair share identifiers.
*
* A computeReservation value of 25 indicates that AWS Batch should reserve 25% of the
* maximum available vCPU if there's only one fair share identifier,
* 6.25% if there are two fair share identifiers,
* and 1.56% if there are three fair share identifiers.
*
* Default: - no vCPU is reserved
*
* @param computeReservation Used to calculate the percentage of the maximum available vCPU to
* reserve for share identifiers not present in the Queue.
*/
public fun computeReservation(computeReservation: Number)
/**
* The name of this SchedulingPolicy.
*
* Default: - generated by CloudFormation
*
* @param schedulingPolicyName The name of this SchedulingPolicy.
*/
public fun schedulingPolicyName(schedulingPolicyName: String)
/**
* The amount of time to use to measure the usage of each job.
*
* The usage is used to calculate a fair share percentage for each fair share identifier
* currently in the Queue.
* A value of zero (0) indicates that only current usage is measured.
* The decay is linear and gives preference to newer jobs.
*
* The maximum supported value is 604800 seconds (1 week).
*
* Default: - 0: only the current job usage is considered
*
* @param shareDecay The amount of time to use to measure the usage of each job.
*/
public fun shareDecay(shareDecay: Duration)
/**
* The shares that this Scheduling Policy applies to.
*
* *Note*: It is possible to submit Jobs to the queue with Share Identifiers that
* are not recognized by the Scheduling Policy.
*
* Default: - no shares
*
* @param shares The shares that this Scheduling Policy applies to.
*/
public fun shares(shares: List)
/**
* The shares that this Scheduling Policy applies to.
*
* *Note*: It is possible to submit Jobs to the queue with Share Identifiers that
* are not recognized by the Scheduling Policy.
*
* Default: - no shares
*
* @param shares The shares that this Scheduling Policy applies to.
*/
public fun shares(vararg shares: Share)
}
private class BuilderImpl(
scope: SoftwareConstructsConstruct,
id: String,
) : Builder {
private val cdkBuilder: software.amazon.awscdk.services.batch.FairshareSchedulingPolicy.Builder
= software.amazon.awscdk.services.batch.FairshareSchedulingPolicy.Builder.create(scope, id)
/**
* Used to calculate the percentage of the maximum available vCPU to reserve for share
* identifiers not present in the Queue.
*
* The percentage reserved is defined by the Scheduler as:
* `(computeReservation/100)^ActiveFairShares` where `ActiveFairShares` is the number of active
* fair share identifiers.
*
* For example, a computeReservation value of 50 indicates that AWS Batch reserves 50% of the
* maximum available vCPU if there's only one fair share identifier.
* It reserves 25% if there are two fair share identifiers.
* It reserves 12.5% if there are three fair share identifiers.
*
* A computeReservation value of 25 indicates that AWS Batch should reserve 25% of the
* maximum available vCPU if there's only one fair share identifier,
* 6.25% if there are two fair share identifiers,
* and 1.56% if there are three fair share identifiers.
*
* Default: - no vCPU is reserved
*
* @param computeReservation Used to calculate the percentage of the maximum available vCPU to
* reserve for share identifiers not present in the Queue.
*/
override fun computeReservation(computeReservation: Number) {
cdkBuilder.computeReservation(computeReservation)
}
/**
* The name of this SchedulingPolicy.
*
* Default: - generated by CloudFormation
*
* @param schedulingPolicyName The name of this SchedulingPolicy.
*/
override fun schedulingPolicyName(schedulingPolicyName: String) {
cdkBuilder.schedulingPolicyName(schedulingPolicyName)
}
/**
* The amount of time to use to measure the usage of each job.
*
* The usage is used to calculate a fair share percentage for each fair share identifier
* currently in the Queue.
* A value of zero (0) indicates that only current usage is measured.
* The decay is linear and gives preference to newer jobs.
*
* The maximum supported value is 604800 seconds (1 week).
*
* Default: - 0: only the current job usage is considered
*
* @param shareDecay The amount of time to use to measure the usage of each job.
*/
override fun shareDecay(shareDecay: Duration) {
cdkBuilder.shareDecay(shareDecay.let(Duration.Companion::unwrap))
}
/**
* The shares that this Scheduling Policy applies to.
*
* *Note*: It is possible to submit Jobs to the queue with Share Identifiers that
* are not recognized by the Scheduling Policy.
*
* Default: - no shares
*
* @param shares The shares that this Scheduling Policy applies to.
*/
override fun shares(shares: List) {
cdkBuilder.shares(shares.map(Share.Companion::unwrap))
}
/**
* The shares that this Scheduling Policy applies to.
*
* *Note*: It is possible to submit Jobs to the queue with Share Identifiers that
* are not recognized by the Scheduling Policy.
*
* Default: - no shares
*
* @param shares The shares that this Scheduling Policy applies to.
*/
override fun shares(vararg shares: Share): Unit = shares(shares.toList())
public fun build(): software.amazon.awscdk.services.batch.FairshareSchedulingPolicy =
cdkBuilder.build()
}
public companion object {
public fun fromFairshareSchedulingPolicyArn(
scope: CloudshiftdevConstructsConstruct,
id: String,
fairshareSchedulingPolicyArn: String,
): IFairshareSchedulingPolicy =
software.amazon.awscdk.services.batch.FairshareSchedulingPolicy.fromFairshareSchedulingPolicyArn(scope.let(CloudshiftdevConstructsConstruct.Companion::unwrap),
id, fairshareSchedulingPolicyArn).let(IFairshareSchedulingPolicy::wrap)
public operator fun invoke(
scope: CloudshiftdevConstructsConstruct,
id: String,
block: Builder.() -> Unit = {},
): FairshareSchedulingPolicy {
val builderImpl = BuilderImpl(CloudshiftdevConstructsConstruct.unwrap(scope), id)
return FairshareSchedulingPolicy(builderImpl.apply(block).build())
}
internal fun wrap(cdkObject: software.amazon.awscdk.services.batch.FairshareSchedulingPolicy):
FairshareSchedulingPolicy = FairshareSchedulingPolicy(cdkObject)
internal fun unwrap(wrapped: FairshareSchedulingPolicy):
software.amazon.awscdk.services.batch.FairshareSchedulingPolicy = wrapped.cdkObject as
software.amazon.awscdk.services.batch.FairshareSchedulingPolicy
}
}
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