2020/12/08 - Amazon EMR Containers - 15 new api methods
Changes This release adds support for Amazon EMR on EKS, a simple way to run Spark on Kubernetes.
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.
See also: AWS API Documentation
Request Syntax
client.describe_job_run(
id='string',
virtualClusterId='string'
)
string
[REQUIRED]
The ID of the job run request.
string
[REQUIRED]
The ID of the virtual cluster for which the job run is submitted.
dict
Response Syntax
{
'jobRun': {
'id': 'string',
'name': 'string',
'virtualClusterId': 'string',
'arn': 'string',
'state': 'PENDING'|'SUBMITTED'|'RUNNING'|'FAILED'|'CANCELLED'|'CANCEL_PENDING'|'COMPLETED',
'clientToken': 'string',
'executionRoleArn': 'string',
'releaseLabel': 'string',
'configurationOverrides': {
'applicationConfiguration': [
{
'classification': 'string',
'properties': {
'string': 'string'
},
'configurations': {'... recursive ...'}
},
],
'monitoringConfiguration': {
'persistentAppUI': 'ENABLED'|'DISABLED',
'cloudWatchMonitoringConfiguration': {
'logGroupName': 'string',
'logStreamNamePrefix': 'string'
},
's3MonitoringConfiguration': {
'logUri': 'string'
}
}
},
'jobDriver': {
'sparkSubmitJobDriver': {
'entryPoint': 'string',
'entryPointArguments': [
'string',
],
'sparkSubmitParameters': 'string'
}
},
'createdAt': datetime(2015, 1, 1),
'createdBy': 'string',
'finishedAt': datetime(2015, 1, 1),
'stateDetails': 'string',
'failureReason': 'INTERNAL_ERROR'|'USER_ERROR'|'VALIDATION_ERROR'|'CLUSTER_UNAVAILABLE',
'tags': {
'string': 'string'
}
}
}
Response Structure
(dict) --
jobRun (dict) --
The output displays information about a job run.
id (string) --
The ID of the job run.
name (string) --
The name of the job run.
virtualClusterId (string) --
The ID of the job run's virtual cluster.
arn (string) --
The ARN of job run.
state (string) --
The state of the job run.
clientToken (string) --
The client token used to start a job run.
executionRoleArn (string) --
The execution role ARN of the job run.
releaseLabel (string) --
The release version of Amazon EMR.
configurationOverrides (dict) --
The configuration settings that are used to override default configuration.
applicationConfiguration (list) --
The configurations for the application running by the job run.
(dict) --
A configuration specification to be used when provisioning virtual clusters, which can include configurations for applications and software bundled with Amazon EMR on EKS. A configuration consists of a classification, properties, and optional nested configurations. A classification refers to an application-specific configuration file. Properties are the settings you want to change in that file.
classification (string) --
The classification within a configuration.
properties (dict) --
A set of properties specified within a configuration classification.
(string) --
(string) --
configurations (list) --
A list of additional configurations to apply within a configuration object.
monitoringConfiguration (dict) --
The configurations for monitoring.
persistentAppUI (string) --
Monitoring configurations for the persistent application UI.
cloudWatchMonitoringConfiguration (dict) --
Monitoring configurations for CloudWatch.
logGroupName (string) --
The name of the log group for log publishing.
logStreamNamePrefix (string) --
The specified name prefix for log streams.
s3MonitoringConfiguration (dict) --
Amazon S3 configuration for monitoring log publishing.
logUri (string) --
Amazon S3 destination URI for log publishing.
jobDriver (dict) --
Parameters of job driver for the job run.
sparkSubmitJobDriver (dict) --
The job driver parameters specified for spark submit.
entryPoint (string) --
The entry point of job application.
entryPointArguments (list) --
The arguments for job application.
(string) --
sparkSubmitParameters (string) --
The Spark submit parameters that are used for job runs.
createdAt (datetime) --
The date and time when the job run was created.
createdBy (string) --
The user who created the job run.
finishedAt (datetime) --
The date and time when the job run has finished.
stateDetails (string) --
Additional details of the job run state.
failureReason (string) --
The reasons why the job run has failed.
tags (dict) --
The assigned tags of the job run.
(string) --
(string) --
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.
See also: AWS API Documentation
Request Syntax
client.cancel_job_run(
id='string',
virtualClusterId='string'
)
string
[REQUIRED]
The ID of the job run to cancel.
string
[REQUIRED]
The ID of the virtual cluster for which the job run will be canceled.
dict
Response Syntax
{
'id': 'string',
'virtualClusterId': 'string'
}
Response Structure
(dict) --
id (string) --
The output contains the ID of the cancelled job run.
virtualClusterId (string) --
The output contains the virtual cluster ID for which the job run is cancelled.
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.
See also: AWS API Documentation
Request Syntax
client.list_virtual_clusters(
containerProviderId='string',
containerProviderType='EKS',
createdAfter=datetime(2015, 1, 1),
createdBefore=datetime(2015, 1, 1),
states=[
'RUNNING'|'TERMINATING'|'TERMINATED'|'ARRESTED',
],
maxResults=123,
nextToken='string'
)
string
The container provider ID of the virtual cluster.
string
The container provider type of the virtual cluster. EKS is the only supported type as of now.
datetime
The date and time after which the virtual clusters are created.
datetime
The date and time before which the virtual clusters are created.
list
The states of the requested virtual clusters.
(string) --
integer
The maximum number of virtual clusters that can be listed.
string
The token for the next set of virtual clusters to return.
dict
Response Syntax
{
'virtualClusters': [
{
'id': 'string',
'name': 'string',
'arn': 'string',
'state': 'RUNNING'|'TERMINATING'|'TERMINATED'|'ARRESTED',
'containerProvider': {
'type': 'EKS',
'id': 'string',
'info': {
'eksInfo': {
'namespace': 'string'
}
}
},
'createdAt': datetime(2015, 1, 1),
'tags': {
'string': 'string'
}
},
],
'nextToken': 'string'
}
Response Structure
(dict) --
virtualClusters (list) --
This output lists the specified virtual clusters.
(dict) --
This entity describes a virtual cluster. A virtual cluster is a Kubernetes namespace that Amazon EMR is registered with. Amazon EMR uses virtual clusters to run jobs and host endpoints. Multiple virtual clusters can be backed by the same physical cluster. However, each virtual cluster maps to one namespace on an EKS cluster. Virtual clusters do not create any active resources that contribute to your bill or that require lifecycle management outside the service.
id (string) --
The ID of the virtual cluster.
name (string) --
The name of the virtual cluster.
arn (string) --
The ARN of the virtual cluster.
state (string) --
The state of the virtual cluster.
containerProvider (dict) --
The container provider of the virtual cluster.
type (string) --
The type of the container provider. EKS is the only supported type as of now.
id (string) --
The ID of the container cluster.
info (dict) --
The information about the container cluster.
Note
This is a Tagged Union structure. Only one of the following top level keys will be set: eksInfo. If a client receives an unknown member it will set SDK_UNKNOWN_MEMBER as the top level key, which maps to the name or tag of the unknown member. The structure of SDK_UNKNOWN_MEMBER is as follows:
'SDK_UNKNOWN_MEMBER': {'name': 'UnknownMemberName'}
eksInfo (dict) --
The information about the EKS cluster.
namespace (string) --
The namespaces of the EKS cluster.
createdAt (datetime) --
The date and time when the virtual cluster is created.
tags (dict) --
The assigned tags of the virtual cluster.
(string) --
(string) --
nextToken (string) --
This output displays the token for the next set of virtual clusters.
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.
See also: AWS API Documentation
Request Syntax
client.describe_managed_endpoint(
id='string',
virtualClusterId='string'
)
string
[REQUIRED]
This output displays ID of the managed endpoint.
string
[REQUIRED]
The ID of the endpoint's virtual cluster.
dict
Response Syntax
{
'endpoint': {
'id': 'string',
'name': 'string',
'arn': 'string',
'virtualClusterId': 'string',
'type': 'string',
'state': 'CREATING'|'ACTIVE'|'TERMINATING'|'TERMINATED'|'TERMINATED_WITH_ERRORS',
'releaseLabel': 'string',
'executionRoleArn': 'string',
'certificateArn': 'string',
'configurationOverrides': {
'applicationConfiguration': [
{
'classification': 'string',
'properties': {
'string': 'string'
},
'configurations': {'... recursive ...'}
},
],
'monitoringConfiguration': {
'persistentAppUI': 'ENABLED'|'DISABLED',
'cloudWatchMonitoringConfiguration': {
'logGroupName': 'string',
'logStreamNamePrefix': 'string'
},
's3MonitoringConfiguration': {
'logUri': 'string'
}
}
},
'serverUrl': 'string',
'createdAt': datetime(2015, 1, 1),
'securityGroup': 'string',
'subnetIds': [
'string',
],
'tags': {
'string': 'string'
}
}
}
Response Structure
(dict) --
endpoint (dict) --
This output displays information about a managed endpoint.
id (string) --
The ID of the endpoint.
name (string) --
The name of the endpoint.
arn (string) --
The ARN of the endpoint.
virtualClusterId (string) --
The ID of the endpoint's virtual cluster.
type (string) --
The type of the endpoint.
state (string) --
The state of the endpoint.
releaseLabel (string) --
The EMR release version to be used for the endpoint.
executionRoleArn (string) --
The execution role ARN of the endpoint.
certificateArn (string) --
The certificate ARN of the endpoint.
configurationOverrides (dict) --
The configuration settings that are used to override existing configurations for endpoints.
applicationConfiguration (list) --
The configurations for the application running by the job run.
(dict) --
A configuration specification to be used when provisioning virtual clusters, which can include configurations for applications and software bundled with Amazon EMR on EKS. A configuration consists of a classification, properties, and optional nested configurations. A classification refers to an application-specific configuration file. Properties are the settings you want to change in that file.
classification (string) --
The classification within a configuration.
properties (dict) --
A set of properties specified within a configuration classification.
(string) --
(string) --
configurations (list) --
A list of additional configurations to apply within a configuration object.
monitoringConfiguration (dict) --
The configurations for monitoring.
persistentAppUI (string) --
Monitoring configurations for the persistent application UI.
cloudWatchMonitoringConfiguration (dict) --
Monitoring configurations for CloudWatch.
logGroupName (string) --
The name of the log group for log publishing.
logStreamNamePrefix (string) --
The specified name prefix for log streams.
s3MonitoringConfiguration (dict) --
Amazon S3 configuration for monitoring log publishing.
logUri (string) --
Amazon S3 destination URI for log publishing.
serverUrl (string) --
The server URL of the endpoint.
createdAt (datetime) --
The date and time when the endpoint was created.
securityGroup (string) --
The security group configuration of the endpoint.
subnetIds (list) --
The subnet IDs of the endpoint.
(string) --
tags (dict) --
The tags of the endpoint.
(string) --
(string) --
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.
See also: AWS API Documentation
Request Syntax
client.tag_resource(
resourceArn='string',
tags={
'string': 'string'
}
)
string
[REQUIRED]
The ARN of resources.
dict
[REQUIRED]
The tags assigned to resources.
(string) --
(string) --
dict
Response Syntax
{}
Response Structure
(dict) --
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.
See also: AWS API Documentation
Request Syntax
client.start_job_run(
name='string',
virtualClusterId='string',
clientToken='string',
executionRoleArn='string',
releaseLabel='string',
jobDriver={
'sparkSubmitJobDriver': {
'entryPoint': 'string',
'entryPointArguments': [
'string',
],
'sparkSubmitParameters': 'string'
}
},
configurationOverrides={
'applicationConfiguration': [
{
'classification': 'string',
'properties': {
'string': 'string'
},
'configurations': {'... recursive ...'}
},
],
'monitoringConfiguration': {
'persistentAppUI': 'ENABLED'|'DISABLED',
'cloudWatchMonitoringConfiguration': {
'logGroupName': 'string',
'logStreamNamePrefix': 'string'
},
's3MonitoringConfiguration': {
'logUri': 'string'
}
}
},
tags={
'string': 'string'
}
)
string
The name of the job run.
string
[REQUIRED]
The virtual cluster ID for which the job run request is submitted.
string
[REQUIRED]
The client idempotency token of the job run request.
This field is autopopulated if not provided.
string
[REQUIRED]
The execution role ARN for the job run.
string
[REQUIRED]
The Amazon EMR release version to use for the job run.
dict
[REQUIRED]
The job driver for the job run.
sparkSubmitJobDriver (dict) --
The job driver parameters specified for spark submit.
entryPoint (string) -- [REQUIRED]
The entry point of job application.
entryPointArguments (list) --
The arguments for job application.
(string) --
sparkSubmitParameters (string) --
The Spark submit parameters that are used for job runs.
dict
The configuration overrides for the job run.
applicationConfiguration (list) --
The configurations for the application running by the job run.
(dict) --
A configuration specification to be used when provisioning virtual clusters, which can include configurations for applications and software bundled with Amazon EMR on EKS. A configuration consists of a classification, properties, and optional nested configurations. A classification refers to an application-specific configuration file. Properties are the settings you want to change in that file.
classification (string) -- [REQUIRED]
The classification within a configuration.
properties (dict) --
A set of properties specified within a configuration classification.
(string) --
(string) --
configurations (list) --
A list of additional configurations to apply within a configuration object.
monitoringConfiguration (dict) --
The configurations for monitoring.
persistentAppUI (string) --
Monitoring configurations for the persistent application UI.
cloudWatchMonitoringConfiguration (dict) --
Monitoring configurations for CloudWatch.
logGroupName (string) -- [REQUIRED]
The name of the log group for log publishing.
logStreamNamePrefix (string) --
The specified name prefix for log streams.
s3MonitoringConfiguration (dict) --
Amazon S3 configuration for monitoring log publishing.
logUri (string) -- [REQUIRED]
Amazon S3 destination URI for log publishing.
dict
The tags assigned to job runs.
(string) --
(string) --
dict
Response Syntax
{
'id': 'string',
'name': 'string',
'arn': 'string',
'virtualClusterId': 'string'
}
Response Structure
(dict) --
id (string) --
This output displays the started job run ID.
name (string) --
This output displays the name of the started job run.
arn (string) --
This output lists the ARN of job run.
virtualClusterId (string) --
This output displays the virtual cluster ID for which the job run was submitted.
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.
See also: AWS API Documentation
Request Syntax
client.create_virtual_cluster(
name='string',
containerProvider={
'type': 'EKS',
'id': 'string',
'info': {
'eksInfo': {
'namespace': 'string'
}
}
},
clientToken='string',
tags={
'string': 'string'
}
)
string
[REQUIRED]
The specified name of the virtual cluster.
dict
[REQUIRED]
The container provider of the virtual cluster.
type (string) -- [REQUIRED]
The type of the container provider. EKS is the only supported type as of now.
id (string) -- [REQUIRED]
The ID of the container cluster.
info (dict) --
The information about the container cluster.
Note
This is a Tagged Union structure. Only one of the following top level keys can be set: eksInfo.
eksInfo (dict) --
The information about the EKS cluster.
namespace (string) --
The namespaces of the EKS cluster.
string
[REQUIRED]
The client token of the virtual cluster.
This field is autopopulated if not provided.
dict
The tags assigned to the virtual cluster.
(string) --
(string) --
dict
Response Syntax
{
'id': 'string',
'name': 'string',
'arn': 'string'
}
Response Structure
(dict) --
id (string) --
This output contains the virtual cluster ID.
name (string) --
This output contains the name of the virtual cluster.
arn (string) --
This output contains the ARN of virtual cluster.
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.
See also: AWS API Documentation
Request Syntax
client.create_managed_endpoint(
name='string',
virtualClusterId='string',
type='string',
releaseLabel='string',
executionRoleArn='string',
certificateArn='string',
configurationOverrides={
'applicationConfiguration': [
{
'classification': 'string',
'properties': {
'string': 'string'
},
'configurations': {'... recursive ...'}
},
],
'monitoringConfiguration': {
'persistentAppUI': 'ENABLED'|'DISABLED',
'cloudWatchMonitoringConfiguration': {
'logGroupName': 'string',
'logStreamNamePrefix': 'string'
},
's3MonitoringConfiguration': {
'logUri': 'string'
}
}
},
clientToken='string',
tags={
'string': 'string'
}
)
string
[REQUIRED]
The name of the managed endpoint.
string
[REQUIRED]
The ID of the virtual cluster for which a managed endpoint is created.
string
[REQUIRED]
The type of the managed endpoint.
string
[REQUIRED]
The Amazon EMR release version.
string
[REQUIRED]
The ARN of the execution role.
string
[REQUIRED]
The certificate ARN of the managed endpoint.
dict
The configuration settings that will be used to override existing configurations.
applicationConfiguration (list) --
The configurations for the application running by the job run.
(dict) --
A configuration specification to be used when provisioning virtual clusters, which can include configurations for applications and software bundled with Amazon EMR on EKS. A configuration consists of a classification, properties, and optional nested configurations. A classification refers to an application-specific configuration file. Properties are the settings you want to change in that file.
classification (string) -- [REQUIRED]
The classification within a configuration.
properties (dict) --
A set of properties specified within a configuration classification.
(string) --
(string) --
configurations (list) --
A list of additional configurations to apply within a configuration object.
monitoringConfiguration (dict) --
The configurations for monitoring.
persistentAppUI (string) --
Monitoring configurations for the persistent application UI.
cloudWatchMonitoringConfiguration (dict) --
Monitoring configurations for CloudWatch.
logGroupName (string) -- [REQUIRED]
The name of the log group for log publishing.
logStreamNamePrefix (string) --
The specified name prefix for log streams.
s3MonitoringConfiguration (dict) --
Amazon S3 configuration for monitoring log publishing.
logUri (string) -- [REQUIRED]
Amazon S3 destination URI for log publishing.
string
[REQUIRED]
The client idempotency token for this create call.
This field is autopopulated if not provided.
dict
The tags of the managed endpoint.
(string) --
(string) --
dict
Response Syntax
{
'id': 'string',
'name': 'string',
'arn': 'string',
'virtualClusterId': 'string'
}
Response Structure
(dict) --
id (string) --
The output contains the ID of the managed endpoint.
name (string) --
The output contains the name of the managed endpoint.
arn (string) --
The output contains the ARN of the managed endpoint.
virtualClusterId (string) --
The output contains the ID of the virtual cluster.
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.
See also: AWS API Documentation
Request Syntax
client.delete_managed_endpoint(
id='string',
virtualClusterId='string'
)
string
[REQUIRED]
The ID of the managed endpoint.
string
[REQUIRED]
The ID of the endpoint's virtual cluster.
dict
Response Syntax
{
'id': 'string',
'virtualClusterId': 'string'
}
Response Structure
(dict) --
id (string) --
The output displays the ID of the managed endpoint.
virtualClusterId (string) --
The output displays the ID of the endpoint's virtual cluster.
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.
See also: AWS API Documentation
Request Syntax
client.delete_virtual_cluster(
id='string'
)
string
[REQUIRED]
The ID of the virtual cluster that will be deleted.
dict
Response Syntax
{
'id': 'string'
}
Response Structure
(dict) --
id (string) --
This output contains the ID of the virtual cluster that will be deleted.
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.
See also: AWS API Documentation
Request Syntax
client.list_managed_endpoints(
virtualClusterId='string',
createdBefore=datetime(2015, 1, 1),
createdAfter=datetime(2015, 1, 1),
types=[
'string',
],
states=[
'CREATING'|'ACTIVE'|'TERMINATING'|'TERMINATED'|'TERMINATED_WITH_ERRORS',
],
maxResults=123,
nextToken='string'
)
string
[REQUIRED]
The ID of the virtual cluster.
datetime
The date and time before which the endpoints are created.
datetime
The date and time after which the endpoints are created.
list
The types of the managed endpoints.
(string) --
list
The states of the managed endpoints.
(string) --
integer
The maximum number of managed endpoints that can be listed.
string
The token for the next set of managed endpoints to return.
dict
Response Syntax
{
'endpoints': [
{
'id': 'string',
'name': 'string',
'arn': 'string',
'virtualClusterId': 'string',
'type': 'string',
'state': 'CREATING'|'ACTIVE'|'TERMINATING'|'TERMINATED'|'TERMINATED_WITH_ERRORS',
'releaseLabel': 'string',
'executionRoleArn': 'string',
'certificateArn': 'string',
'configurationOverrides': {
'applicationConfiguration': [
{
'classification': 'string',
'properties': {
'string': 'string'
},
'configurations': {'... recursive ...'}
},
],
'monitoringConfiguration': {
'persistentAppUI': 'ENABLED'|'DISABLED',
'cloudWatchMonitoringConfiguration': {
'logGroupName': 'string',
'logStreamNamePrefix': 'string'
},
's3MonitoringConfiguration': {
'logUri': 'string'
}
}
},
'serverUrl': 'string',
'createdAt': datetime(2015, 1, 1),
'securityGroup': 'string',
'subnetIds': [
'string',
],
'tags': {
'string': 'string'
}
},
],
'nextToken': 'string'
}
Response Structure
(dict) --
endpoints (list) --
The managed endpoints to be listed.
(dict) --
This entity represents the endpoint that is managed by Amazon EMR on EKS.
id (string) --
The ID of the endpoint.
name (string) --
The name of the endpoint.
arn (string) --
The ARN of the endpoint.
virtualClusterId (string) --
The ID of the endpoint's virtual cluster.
type (string) --
The type of the endpoint.
state (string) --
The state of the endpoint.
releaseLabel (string) --
The EMR release version to be used for the endpoint.
executionRoleArn (string) --
The execution role ARN of the endpoint.
certificateArn (string) --
The certificate ARN of the endpoint.
configurationOverrides (dict) --
The configuration settings that are used to override existing configurations for endpoints.
applicationConfiguration (list) --
The configurations for the application running by the job run.
(dict) --
A configuration specification to be used when provisioning virtual clusters, which can include configurations for applications and software bundled with Amazon EMR on EKS. A configuration consists of a classification, properties, and optional nested configurations. A classification refers to an application-specific configuration file. Properties are the settings you want to change in that file.
classification (string) --
The classification within a configuration.
properties (dict) --
A set of properties specified within a configuration classification.
(string) --
(string) --
configurations (list) --
A list of additional configurations to apply within a configuration object.
monitoringConfiguration (dict) --
The configurations for monitoring.
persistentAppUI (string) --
Monitoring configurations for the persistent application UI.
cloudWatchMonitoringConfiguration (dict) --
Monitoring configurations for CloudWatch.
logGroupName (string) --
The name of the log group for log publishing.
logStreamNamePrefix (string) --
The specified name prefix for log streams.
s3MonitoringConfiguration (dict) --
Amazon S3 configuration for monitoring log publishing.
logUri (string) --
Amazon S3 destination URI for log publishing.
serverUrl (string) --
The server URL of the endpoint.
createdAt (datetime) --
The date and time when the endpoint was created.
securityGroup (string) --
The security group configuration of the endpoint.
subnetIds (list) --
The subnet IDs of the endpoint.
(string) --
tags (dict) --
The tags of the endpoint.
(string) --
(string) --
nextToken (string) --
The token for the next set of endpoints to return.
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.
See also: AWS API Documentation
Request Syntax
client.describe_virtual_cluster(
id='string'
)
string
[REQUIRED]
The ID of the virtual cluster that will be described.
dict
Response Syntax
{
'virtualCluster': {
'id': 'string',
'name': 'string',
'arn': 'string',
'state': 'RUNNING'|'TERMINATING'|'TERMINATED'|'ARRESTED',
'containerProvider': {
'type': 'EKS',
'id': 'string',
'info': {
'eksInfo': {
'namespace': 'string'
}
}
},
'createdAt': datetime(2015, 1, 1),
'tags': {
'string': 'string'
}
}
}
Response Structure
(dict) --
virtualCluster (dict) --
This output displays information about the specified virtual cluster.
id (string) --
The ID of the virtual cluster.
name (string) --
The name of the virtual cluster.
arn (string) --
The ARN of the virtual cluster.
state (string) --
The state of the virtual cluster.
containerProvider (dict) --
The container provider of the virtual cluster.
type (string) --
The type of the container provider. EKS is the only supported type as of now.
id (string) --
The ID of the container cluster.
info (dict) --
The information about the container cluster.
Note
This is a Tagged Union structure. Only one of the following top level keys will be set: eksInfo. If a client receives an unknown member it will set SDK_UNKNOWN_MEMBER as the top level key, which maps to the name or tag of the unknown member. The structure of SDK_UNKNOWN_MEMBER is as follows:
'SDK_UNKNOWN_MEMBER': {'name': 'UnknownMemberName'}
eksInfo (dict) --
The information about the EKS cluster.
namespace (string) --
The namespaces of the EKS cluster.
createdAt (datetime) --
The date and time when the virtual cluster is created.
tags (dict) --
The assigned tags of the virtual cluster.
(string) --
(string) --
Lists the tags assigned to the resources.
See also: AWS API Documentation
Request Syntax
client.list_tags_for_resource(
resourceArn='string'
)
string
[REQUIRED]
The ARN of tagged resources.
dict
Response Syntax
{
'tags': {
'string': 'string'
}
}
Response Structure
(dict) --
tags (dict) --
The tags assigned to resources.
(string) --
(string) --
Removes tags from resources.
See also: AWS API Documentation
Request Syntax
client.untag_resource(
resourceArn='string',
tagKeys=[
'string',
]
)
string
[REQUIRED]
The ARN of resources.
list
[REQUIRED]
The tag keys of the resources.
(string) --
dict
Response Syntax
{}
Response Structure
(dict) --
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.
See also: AWS API Documentation
Request Syntax
client.list_job_runs(
virtualClusterId='string',
createdBefore=datetime(2015, 1, 1),
createdAfter=datetime(2015, 1, 1),
name='string',
states=[
'PENDING'|'SUBMITTED'|'RUNNING'|'FAILED'|'CANCELLED'|'CANCEL_PENDING'|'COMPLETED',
],
maxResults=123,
nextToken='string'
)
string
[REQUIRED]
The ID of the virtual cluster for which to list the job run.
datetime
The date and time before which the job runs were submitted.
datetime
The date and time after which the job runs were submitted.
string
The name of the job run.
list
The states of the job run.
(string) --
integer
The maximum number of job runs that can be listed.
string
The token for the next set of job runs to return.
dict
Response Syntax
{
'jobRuns': [
{
'id': 'string',
'name': 'string',
'virtualClusterId': 'string',
'arn': 'string',
'state': 'PENDING'|'SUBMITTED'|'RUNNING'|'FAILED'|'CANCELLED'|'CANCEL_PENDING'|'COMPLETED',
'clientToken': 'string',
'executionRoleArn': 'string',
'releaseLabel': 'string',
'configurationOverrides': {
'applicationConfiguration': [
{
'classification': 'string',
'properties': {
'string': 'string'
},
'configurations': {'... recursive ...'}
},
],
'monitoringConfiguration': {
'persistentAppUI': 'ENABLED'|'DISABLED',
'cloudWatchMonitoringConfiguration': {
'logGroupName': 'string',
'logStreamNamePrefix': 'string'
},
's3MonitoringConfiguration': {
'logUri': 'string'
}
}
},
'jobDriver': {
'sparkSubmitJobDriver': {
'entryPoint': 'string',
'entryPointArguments': [
'string',
],
'sparkSubmitParameters': 'string'
}
},
'createdAt': datetime(2015, 1, 1),
'createdBy': 'string',
'finishedAt': datetime(2015, 1, 1),
'stateDetails': 'string',
'failureReason': 'INTERNAL_ERROR'|'USER_ERROR'|'VALIDATION_ERROR'|'CLUSTER_UNAVAILABLE',
'tags': {
'string': 'string'
}
},
],
'nextToken': 'string'
}
Response Structure
(dict) --
jobRuns (list) --
This output lists information about the specified job runs.
(dict) --
This entity describes 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.
id (string) --
The ID of the job run.
name (string) --
The name of the job run.
virtualClusterId (string) --
The ID of the job run's virtual cluster.
arn (string) --
The ARN of job run.
state (string) --
The state of the job run.
clientToken (string) --
The client token used to start a job run.
executionRoleArn (string) --
The execution role ARN of the job run.
releaseLabel (string) --
The release version of Amazon EMR.
configurationOverrides (dict) --
The configuration settings that are used to override default configuration.
applicationConfiguration (list) --
The configurations for the application running by the job run.
(dict) --
A configuration specification to be used when provisioning virtual clusters, which can include configurations for applications and software bundled with Amazon EMR on EKS. A configuration consists of a classification, properties, and optional nested configurations. A classification refers to an application-specific configuration file. Properties are the settings you want to change in that file.
classification (string) --
The classification within a configuration.
properties (dict) --
A set of properties specified within a configuration classification.
(string) --
(string) --
configurations (list) --
A list of additional configurations to apply within a configuration object.
monitoringConfiguration (dict) --
The configurations for monitoring.
persistentAppUI (string) --
Monitoring configurations for the persistent application UI.
cloudWatchMonitoringConfiguration (dict) --
Monitoring configurations for CloudWatch.
logGroupName (string) --
The name of the log group for log publishing.
logStreamNamePrefix (string) --
The specified name prefix for log streams.
s3MonitoringConfiguration (dict) --
Amazon S3 configuration for monitoring log publishing.
logUri (string) --
Amazon S3 destination URI for log publishing.
jobDriver (dict) --
Parameters of job driver for the job run.
sparkSubmitJobDriver (dict) --
The job driver parameters specified for spark submit.
entryPoint (string) --
The entry point of job application.
entryPointArguments (list) --
The arguments for job application.
(string) --
sparkSubmitParameters (string) --
The Spark submit parameters that are used for job runs.
createdAt (datetime) --
The date and time when the job run was created.
createdBy (string) --
The user who created the job run.
finishedAt (datetime) --
The date and time when the job run has finished.
stateDetails (string) --
Additional details of the job run state.
failureReason (string) --
The reasons why the job run has failed.
tags (dict) --
The assigned tags of the job run.
(string) --
(string) --
nextToken (string) --
This output displays the token for the next set of job runs.