Package-level declarations

The entity representing certificate data generated for managed endpoint.

A configuration for CloudWatch monitoring. You can configure your jobs to send log information to CloudWatch Logs.

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.

A configuration specification to be used to override existing configurations.

The information about the container used for a job run or a managed endpoint.

The settings for container log rotation.

The information about the container provider.

The structure containing the session token being returned.

The information about the Amazon EKS cluster.

Base class for all service related exceptions thrown by the EmrContainers client

This entity represents the endpoint that is managed by Amazon EMR on EKS.

This is an internal server exception.

Specify the driver that the job runs on. Exactly one of the two available job drivers is required, either sparkSqlJobDriver or sparkSubmitJobDriver.

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.

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.

The values of StartJobRun API requests used in job runs started using the job template.

Configuration setting for monitoring.

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.

A configuration specification to be used to override existing configurations. This data type allows job template parameters to be specified within.

Configuration setting for monitoring. This data type allows job template parameters to be specified within.

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.

The request throttled.

The specified resource was not found.

The configuration of the retry policy that the job runs on.

The current status of the retry policy executed on the job.

Amazon S3 configuration for monitoring log publishing. You can configure your jobs to send log information to Amazon S3.

The job driver for job type.

The information about job driver for Spark submit.

The configuration of a job template parameter.

There are invalid parameters in the client request.

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 Amazon EKS cluster. Virtual clusters do not create any active resources that contribute to your bill or that require lifecycle management outside the service.