"documentation":"<p>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.</p>"
"documentation":"<p>Creates a job template. Job template stores values of StartJobRun API request in a template and can be used to start a job run. Job template allows two use cases: avoid repeating recurring StartJobRun API request values, enforcing certain values in StartJobRun API request.</p>"
"documentation":"<p>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.</p>"
"documentation":"<p>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.</p>"
"documentation":"<p>Deletes a job template. Job template stores values of StartJobRun API request in a template and can be used to start a job run. Job template allows two use cases: avoid repeating recurring StartJobRun API request values, enforcing certain values in StartJobRun API request.</p>"
"documentation":"<p>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.</p>"
"documentation":"<p>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.</p>"
"documentation":"<p>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.</p>"
"documentation":"<p>Displays detailed information about a specified job template. Job template stores values of StartJobRun API request in a template and can be used to start a job run. Job template allows two use cases: avoid repeating recurring StartJobRun API request values, enforcing certain values in StartJobRun API request.</p>"
"documentation":"<p>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.</p>"
"documentation":"<p>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.</p>"
"documentation":"<p>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.</p>"
"documentation":"<p>Lists job templates based on a set of parameters. Job template stores values of StartJobRun API request in a template and can be used to start a job run. Job template allows two use cases: avoid repeating recurring StartJobRun API request values, enforcing certain values in StartJobRun API request.</p>"
"documentation":"<p>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.</p>"
},
"ListTagsForResource":{
"name":"ListTagsForResource",
"http":{
"method":"GET",
"requestUri":"/tags/{resourceArn}"
},
"input":{"shape":"ListTagsForResourceRequest"},
"output":{"shape":"ListTagsForResourceResponse"},
"errors":[
{"shape":"InternalServerException"},
{"shape":"ValidationException"},
{"shape":"ResourceNotFoundException"}
],
"documentation":"<p>Lists the tags assigned to the resources.</p>"
},
"ListVirtualClusters":{
"name":"ListVirtualClusters",
"http":{
"method":"GET",
"requestUri":"/virtualclusters"
},
"input":{"shape":"ListVirtualClustersRequest"},
"output":{"shape":"ListVirtualClustersResponse"},
"errors":[
{"shape":"ValidationException"},
{"shape":"InternalServerException"}
],
"documentation":"<p>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.</p>"
"documentation":"<p>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.</p>"
},
"TagResource":{
"name":"TagResource",
"http":{
"method":"POST",
"requestUri":"/tags/{resourceArn}"
},
"input":{"shape":"TagResourceRequest"},
"output":{"shape":"TagResourceResponse"},
"errors":[
{"shape":"InternalServerException"},
{"shape":"ValidationException"},
{"shape":"ResourceNotFoundException"}
],
"documentation":"<p>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.</p>"
},
"UntagResource":{
"name":"UntagResource",
"http":{
"method":"DELETE",
"requestUri":"/tags/{resourceArn}"
},
"input":{"shape":"UntagResourceRequest"},
"output":{"shape":"UntagResourceResponse"},
"errors":[
{"shape":"InternalServerException"},
{"shape":"ValidationException"},
{"shape":"ResourceNotFoundException"}
],
"documentation":"<p>Removes tags from resources.</p>"
"documentation":"<p>The classification within a configuration.</p>"
},
"properties":{
"shape":"SensitivePropertiesMap",
"documentation":"<p>A set of properties specified within a configuration classification.</p>"
},
"configurations":{
"shape":"ConfigurationList",
"documentation":"<p>A list of additional configurations to apply within a configuration object.</p>"
}
},
"documentation":"<p>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.</p>"
},
"ConfigurationList":{
"type":"list",
"member":{"shape":"Configuration"},
"max":100
},
"ConfigurationOverrides":{
"type":"structure",
"members":{
"applicationConfiguration":{
"shape":"ConfigurationList",
"documentation":"<p>The configurations for the application running by the job run. </p>"
},
"monitoringConfiguration":{
"shape":"MonitoringConfiguration",
"documentation":"<p>The configurations for monitoring.</p>"
}
},
"documentation":"<p>A configuration specification to be used to override existing configurations.</p>"
},
"ContainerInfo":{
"type":"structure",
"members":{
"eksInfo":{
"shape":"EksInfo",
"documentation":"<p>The information about the EKS cluster.</p>"
}
},
"documentation":"<p>The information about the container used for a job run or a managed endpoint.</p>",
"union":true
},
"ContainerProvider":{
"type":"structure",
"required":[
"type",
"id"
],
"members":{
"type":{
"shape":"ContainerProviderType",
"documentation":"<p>The type of the container provider. EKS is the only supported type as of now.</p>"
"documentation":"<p>The certificate ARN provided by users for the managed endpoint. This field is under deprecation and will be removed in future releases.</p>",
"documentation":"<p>Specify the driver that the job runs on. Exactly one of the two available job drivers is required, either sparkSqlJobDriver or sparkSubmitJobDriver.</p>"
"documentation":"<p>The ID of the job run's virtual cluster.</p>"
},
"arn":{
"shape":"JobArn",
"documentation":"<p>The ARN of job run.</p>"
},
"state":{
"shape":"JobRunState",
"documentation":"<p>The state of the job run. </p>"
},
"clientToken":{
"shape":"ClientToken",
"documentation":"<p>The client token used to start a job run.</p>"
},
"executionRoleArn":{
"shape":"IAMRoleArn",
"documentation":"<p>The execution role ARN of the job run.</p>"
},
"releaseLabel":{
"shape":"ReleaseLabel",
"documentation":"<p>The release version of Amazon EMR.</p>"
},
"configurationOverrides":{
"shape":"ConfigurationOverrides",
"documentation":"<p>The configuration settings that are used to override default configuration.</p>"
},
"jobDriver":{
"shape":"JobDriver",
"documentation":"<p>Parameters of job driver for the job run.</p>"
},
"createdAt":{
"shape":"Date",
"documentation":"<p>The date and time when the job run was created.</p>"
},
"createdBy":{
"shape":"RequestIdentityUserArn",
"documentation":"<p>The user who created the job run.</p>"
},
"finishedAt":{
"shape":"Date",
"documentation":"<p>The date and time when the job run has finished.</p>"
},
"stateDetails":{
"shape":"String256",
"documentation":"<p>Additional details of the job run state.</p>"
},
"failureReason":{
"shape":"FailureReason",
"documentation":"<p>The reasons why the job run has failed.</p>"
},
"tags":{
"shape":"TagMap",
"documentation":"<p>The assigned tags of the job run.</p>"
}
},
"documentation":"<p>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. </p>"
"documentation":"<p>The name of the job template.</p>"
},
"id":{
"shape":"ResourceIdString",
"documentation":"<p>The ID of the job template.</p>"
},
"arn":{
"shape":"JobTemplateArn",
"documentation":"<p>The ARN of the job template.</p>"
},
"createdAt":{
"shape":"Date",
"documentation":"<p> The date and time when the job template was created.</p>"
},
"createdBy":{
"shape":"RequestIdentityUserArn",
"documentation":"<p> The user who created the job template.</p>"
},
"tags":{
"shape":"TagMap",
"documentation":"<p>The tags assigned to the job template.</p>"
},
"jobTemplateData":{
"shape":"JobTemplateData",
"documentation":"<p>The job template data which holds values of StartJobRun API request.</p>"
},
"kmsKeyArn":{
"shape":"KmsKeyArn",
"documentation":"<p> The KMS key ARN used to encrypt the job template.</p>"
},
"decryptionError":{
"shape":"String2048",
"documentation":"<p>The error message in case the decryption of job template fails.</p>"
}
},
"documentation":"<p>This entity describes a job template. Job template stores values of StartJobRun API request in a template and can be used to start a job run. Job template allows two use cases: avoid repeating recurring StartJobRun API request values, enforcing certain values in StartJobRun API request.</p>"
"documentation":"<p> The name of the log group for log publishing.</p>"
},
"logStreamNamePrefix":{
"shape":"String256",
"documentation":"<p> The specified name prefix for log streams.</p>"
}
},
"documentation":"<p> A configuration for CloudWatch monitoring. You can configure your jobs to send log information to CloudWatch Logs. This data type allows job template parameters to be specified within.</p>"
},
"ParametricConfigurationOverrides":{
"type":"structure",
"members":{
"applicationConfiguration":{
"shape":"ConfigurationList",
"documentation":"<p> The configurations for the application running by the job run.</p>"
},
"monitoringConfiguration":{
"shape":"ParametricMonitoringConfiguration",
"documentation":"<p> The configurations for monitoring. </p>"
}
},
"documentation":"<p> A configuration specification to be used to override existing configurations. This data type allows job template parameters to be specified within.</p>"
"documentation":"<p>Amazon S3 destination URI for log publishing.</p>"
}
},
"documentation":"<p> Amazon S3 configuration for monitoring log publishing. You can configure your jobs to send log information to Amazon S3. This data type allows job template parameters to be specified within.</p>"
"documentation":"<p>There are invalid parameters in the client request.</p>",
"error":{"httpStatusCode":400},
"exception":true
},
"VirtualCluster":{
"type":"structure",
"members":{
"id":{
"shape":"ResourceIdString",
"documentation":"<p>The ID of the virtual cluster.</p>"
},
"name":{
"shape":"ResourceNameString",
"documentation":"<p>The name of the virtual cluster.</p>"
},
"arn":{
"shape":"VirtualClusterArn",
"documentation":"<p>The ARN of the virtual cluster.</p>"
},
"state":{
"shape":"VirtualClusterState",
"documentation":"<p>The state of the virtual cluster.</p>"
},
"containerProvider":{
"shape":"ContainerProvider",
"documentation":"<p>The container provider of the virtual cluster.</p>"
},
"createdAt":{
"shape":"Date",
"documentation":"<p>The date and time when the virtual cluster is created.</p>"
},
"tags":{
"shape":"TagMap",
"documentation":"<p>The assigned tags of the virtual cluster.</p>"
}
},
"documentation":"<p>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.</p>"
"documentation":"<p>Amazon EMR on EKS provides a deployment option for Amazon EMR that allows you to run open-source big data frameworks on Amazon Elastic Kubernetes Service (Amazon EKS). With this deployment option, you can focus on running analytics workloads while Amazon EMR on EKS builds, configures, and manages containers for open-source applications. For more information about Amazon EMR on EKS concepts and tasks, see <a href=\"https://docs.aws.amazon.com/emr/latest/EMR-on-EKS-DevelopmentGuide/emr-eks.html\">What is Amazon EMR on EKS</a>.</p> <p> <i>Amazon EMR containers</i> is the API name for Amazon EMR on EKS. The <code>emr-containers</code> prefix is used in the following scenarios: </p> <ul> <li> <p>It is the prefix in the CLI commands for Amazon EMR on EKS. For example, <code>aws emr-containers start-job-run</code>.</p> </li> <li> <p>It is the prefix before IAM policy actions for Amazon EMR on EKS. For example, <code>\"Action\": [ \"emr-containers:StartJobRun\"]</code>. For more information, see <a href=\"https://docs.aws.amazon.com/emr/latest/EMR-on-EKS-DevelopmentGuide/security_iam_service-with-iam.html#security_iam_service-with-iam-id-based-policies-actions\">Policy actions for Amazon EMR on EKS</a>.</p> </li> <li> <p>It is the prefix used in Amazon EMR on EKS service endpoints. For example, <code>emr-containers.us-east-2.amazonaws.com</code>. For more information, see <a href=\"https://docs.aws.amazon.com/emr/latest/EMR-on-EKS-DevelopmentGuide/service-quotas.html#service-endpoints\">Amazon EMR on EKS Service Endpoints</a>.</p> </li> </ul>"