Package com.pulumi.gcp.dataproc.outputs

Class ClusterClusterConfigWorkerConfigAccelerator

java.lang.Object

com.pulumi.gcp.dataproc.outputs.ClusterClusterConfigWorkerConfigAccelerator

public final class ClusterClusterConfigWorkerConfigAccelerator
extends java.lang.Object

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	ClusterClusterConfigWorkerConfigAccelerator.Builder

Method Summary

Modifier and Type	Method	Description
java.lang.Integer	acceleratorCount()
java.lang.String	acceleratorType()
static ClusterClusterConfigWorkerConfigAccelerator.Builder	builder()
static ClusterClusterConfigWorkerConfigAccelerator.Builder	builder(ClusterClusterConfigWorkerConfigAccelerator defaults)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Method Detail

acceleratorCount

public java.lang.Integer acceleratorCount()

Returns:

The number of the accelerator cards of this type exposed to this instance. Often restricted to one of `1`, `2`, `4`, or `8`. > The Cloud Dataproc API can return unintuitive error messages when using accelerators; even when you have defined an accelerator, Auto Zone Placement does not exclusively select zones that have that accelerator available. If you get a 400 error that the accelerator can't be found, this is a likely cause. Make sure you check [accelerator availability by zone](https://cloud.google.com/compute/docs/reference/rest/v1/acceleratorTypes/list) if you are trying to use accelerators in a given zone. ***

acceleratorType

public java.lang.String acceleratorType()

Returns:

The short name of the accelerator type to expose to this instance. For example, `nvidia-tesla-k80`.

builder

public static ClusterClusterConfigWorkerConfigAccelerator.Builder builder()

builder

public static ClusterClusterConfigWorkerConfigAccelerator.Builder builder(ClusterClusterConfigWorkerConfigAccelerator defaults)