CancelJobRun

Id => Str

VirtualClusterId => Str

Each argument is described in detail in: Paws::EMRContainers::CancelJobRun

Returns: a Paws::EMRContainers::CancelJobRunResponse instance

Cancels a job run. A job run is a unit of work, such as a Spark jar, PySpark script, or SparkSQL query, that you submit to Amazon EMR on EKS.

CreateManagedEndpoint

CertificateArn => Str

ClientToken => Str

ExecutionRoleArn => Str

Name => Str

ReleaseLabel => Str

Type => Str

VirtualClusterId => Str

[ConfigurationOverrides => Paws::EMRContainers::ConfigurationOverrides]

[Tags => Paws::EMRContainers::TagMap]

Each argument is described in detail in: Paws::EMRContainers::CreateManagedEndpoint

Returns: a Paws::EMRContainers::CreateManagedEndpointResponse instance

Creates a managed endpoint. A managed endpoint is a gateway that connects EMR Studio to Amazon EMR on EKS so that EMR Studio can communicate with your virtual cluster.

CreateVirtualCluster

ClientToken => Str

ContainerProvider => Paws::EMRContainers::ContainerProvider

Name => Str

[Tags => Paws::EMRContainers::TagMap]

Each argument is described in detail in: Paws::EMRContainers::CreateVirtualCluster

Returns: a Paws::EMRContainers::CreateVirtualClusterResponse instance

Creates a virtual cluster. Virtual cluster is a managed entity on Amazon EMR on EKS. You can create, describe, list and delete virtual clusters. They do not consume any additional resource in your system. A single virtual cluster maps to a single Kubernetes namespace. Given this relationship, you can model virtual clusters the same way you model Kubernetes namespaces to meet your requirements.

DeleteManagedEndpoint

Id => Str

VirtualClusterId => Str

Each argument is described in detail in: Paws::EMRContainers::DeleteManagedEndpoint

Returns: a Paws::EMRContainers::DeleteManagedEndpointResponse instance

Deletes a managed endpoint. A managed endpoint is a gateway that connects EMR Studio to Amazon EMR on EKS so that EMR Studio can communicate with your virtual cluster.

DeleteVirtualCluster

Id => Str

Each argument is described in detail in: Paws::EMRContainers::DeleteVirtualCluster

Returns: a Paws::EMRContainers::DeleteVirtualClusterResponse instance

Deletes a virtual cluster. Virtual cluster is a managed entity on Amazon EMR on EKS. You can create, describe, list and delete virtual clusters. They do not consume any additional resource in your system. A single virtual cluster maps to a single Kubernetes namespace. Given this relationship, you can model virtual clusters the same way you model Kubernetes namespaces to meet your requirements.

DescribeJobRun

Id => Str

VirtualClusterId => Str

Each argument is described in detail in: Paws::EMRContainers::DescribeJobRun

Returns: a Paws::EMRContainers::DescribeJobRunResponse instance

Displays detailed information about a job run. A job run is a unit of work, such as a Spark jar, PySpark script, or SparkSQL query, that you submit to Amazon EMR on EKS.

DescribeManagedEndpoint

Id => Str

VirtualClusterId => Str

Each argument is described in detail in: Paws::EMRContainers::DescribeManagedEndpoint

Returns: a Paws::EMRContainers::DescribeManagedEndpointResponse instance

Displays detailed information about a managed endpoint. A managed endpoint is a gateway that connects EMR Studio to Amazon EMR on EKS so that EMR Studio can communicate with your virtual cluster.

DescribeVirtualCluster

Id => Str

Each argument is described in detail in: Paws::EMRContainers::DescribeVirtualCluster

Returns: a Paws::EMRContainers::DescribeVirtualClusterResponse instance

Displays detailed information about a specified virtual cluster. Virtual cluster is a managed entity on Amazon EMR on EKS. You can create, describe, list and delete virtual clusters. They do not consume any additional resource in your system. A single virtual cluster maps to a single Kubernetes namespace. Given this relationship, you can model virtual clusters the same way you model Kubernetes namespaces to meet your requirements.

ListJobRuns

VirtualClusterId => Str

[CreatedAfter => Str]

[CreatedBefore => Str]

[MaxResults => Int]

[Name => Str]

[NextToken => Str]

[States => ArrayRef[Str|Undef]]

Each argument is described in detail in: Paws::EMRContainers::ListJobRuns

Returns: a Paws::EMRContainers::ListJobRunsResponse instance

Lists job runs based on a set of parameters. A job run is a unit of work, such as a Spark jar, PySpark script, or SparkSQL query, that you submit to Amazon EMR on EKS.

ListManagedEndpoints

VirtualClusterId => Str

[CreatedAfter => Str]

[CreatedBefore => Str]

[MaxResults => Int]

[NextToken => Str]

[States => ArrayRef[Str|Undef]]

[Types => ArrayRef[Str|Undef]]

Each argument is described in detail in: Paws::EMRContainers::ListManagedEndpoints

Returns: a Paws::EMRContainers::ListManagedEndpointsResponse instance

Lists managed endpoints based on a set of parameters. A managed endpoint is a gateway that connects EMR Studio to Amazon EMR on EKS so that EMR Studio can communicate with your virtual cluster.

ListTagsForResource

ResourceArn => Str

Each argument is described in detail in: Paws::EMRContainers::ListTagsForResource

Returns: a Paws::EMRContainers::ListTagsForResourceResponse instance

Lists the tags assigned to the resources.

ListVirtualClusters

[ContainerProviderId => Str]

[ContainerProviderType => Str]

[CreatedAfter => Str]

[CreatedBefore => Str]

[MaxResults => Int]

[NextToken => Str]

[States => ArrayRef[Str|Undef]]

Each argument is described in detail in: Paws::EMRContainers::ListVirtualClusters

Returns: a Paws::EMRContainers::ListVirtualClustersResponse instance

Lists information about the specified virtual cluster. Virtual cluster is a managed entity on Amazon EMR on EKS. You can create, describe, list and delete virtual clusters. They do not consume any additional resource in your system. A single virtual cluster maps to a single Kubernetes namespace. Given this relationship, you can model virtual clusters the same way you model Kubernetes namespaces to meet your requirements.

StartJobRun

ClientToken => Str

ExecutionRoleArn => Str

JobDriver => Paws::EMRContainers::JobDriver

ReleaseLabel => Str

VirtualClusterId => Str

[ConfigurationOverrides => Paws::EMRContainers::ConfigurationOverrides]

[Name => Str]

[Tags => Paws::EMRContainers::TagMap]

Each argument is described in detail in: Paws::EMRContainers::StartJobRun

Returns: a Paws::EMRContainers::StartJobRunResponse instance

Starts a job run. A job run is a unit of work, such as a Spark jar, PySpark script, or SparkSQL query, that you submit to Amazon EMR on EKS.

TagResource

ResourceArn => Str

Tags => Paws::EMRContainers::TagMap

Each argument is described in detail in: Paws::EMRContainers::TagResource

Returns: a Paws::EMRContainers::TagResourceResponse instance

Assigns tags to resources. A tag is a label that you assign to an AWS resource. Each tag consists of a key and an optional value, both of which you define. Tags enable you to categorize your AWS resources by attributes such as purpose, owner, or environment. When you have many resources of the same type, you can quickly identify a specific resource based on the tags you've assigned to it. For example, you can define a set of tags for your Amazon EMR on EKS clusters to help you track each cluster's owner and stack level. We recommend that you devise a consistent set of tag keys for each resource type. You can then search and filter the resources based on the tags that you add.

UntagResource

ResourceArn => Str

TagKeys => ArrayRef[Str|Undef]

Each argument is described in detail in: Paws::EMRContainers::UntagResource

Returns: a Paws::EMRContainers::UntagResourceResponse instance

Removes tags from resources.

ListAllJobRuns(sub { },VirtualClusterId => Str, [CreatedAfter => Str, CreatedBefore => Str, MaxResults => Int, Name => Str, NextToken => Str, States => ArrayRef[Str|Undef]])

ListAllJobRuns(VirtualClusterId => Str, [CreatedAfter => Str, CreatedBefore => Str, MaxResults => Int, Name => Str, NextToken => Str, States => ArrayRef[Str|Undef]])

If passed a sub as first parameter, it will call the sub for each element found in :

 - jobRuns, passing the object as the first parameter, and the string 'jobRuns' as the second parameter

If not, it will return a a Paws::EMRContainers::ListJobRunsResponse instance with all the "param"s; from all the responses. Please take into account that this mode can potentially consume vasts ammounts of memory.

ListAllManagedEndpoints(sub { },VirtualClusterId => Str, [CreatedAfter => Str, CreatedBefore => Str, MaxResults => Int, NextToken => Str, States => ArrayRef[Str|Undef], Types => ArrayRef[Str|Undef]])

ListAllManagedEndpoints(VirtualClusterId => Str, [CreatedAfter => Str, CreatedBefore => Str, MaxResults => Int, NextToken => Str, States => ArrayRef[Str|Undef], Types => ArrayRef[Str|Undef]])

If passed a sub as first parameter, it will call the sub for each element found in :

 - endpoints, passing the object as the first parameter, and the string 'endpoints' as the second parameter

If not, it will return a a Paws::EMRContainers::ListManagedEndpointsResponse instance with all the "param"s; from all the responses. Please take into account that this mode can potentially consume vasts ammounts of memory.

ListAllVirtualClusters(sub { },[ContainerProviderId => Str, ContainerProviderType => Str, CreatedAfter => Str, CreatedBefore => Str, MaxResults => Int, NextToken => Str, States => ArrayRef[Str|Undef]])

ListAllVirtualClusters([ContainerProviderId => Str, ContainerProviderType => Str, CreatedAfter => Str, CreatedBefore => Str, MaxResults => Int, NextToken => Str, States => ArrayRef[Str|Undef]])

If passed a sub as first parameter, it will call the sub for each element found in :

 - virtualClusters, passing the object as the first parameter, and the string 'virtualClusters' as the second parameter

If not, it will return a a Paws::EMRContainers::ListVirtualClustersResponse instance with all the "param"s; from all the responses. Please take into account that this mode can potentially consume vasts ammounts of memory.