Module aws_sdk_emrserverless::types
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Data structures used by operation inputs/outputs.
Modules
- Builders
- Error types that EMR Serverless can respond with.
Structs
Information about an application. Amazon EMR Serverless uses applications to run jobs.
The summary of attributes associated with an application.
The configuration for an application to automatically start on job submission.
The configuration for an application to automatically stop after a certain amount of time being idle.
The Amazon CloudWatch configuration for monitoring logs. You can configure your jobs to send log information to CloudWatch.
A configuration specification to be used when provisioning an application. 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 configurations for the Hive job driver.
The applied image configuration.
The image configuration.
The initial capacity configuration per worker.
Information about a job run. A job run is a unit of work, such as a Spark JAR, Hive query, or SparkSQL query, that you submit to an Amazon EMR Serverless application.
The summary of attributes associated with a job run.
The managed log persistence configuration for a job run.
The maximum allowed cumulative resources for an application. No new resources will be created once the limit is hit.
The configuration setting for monitoring.
The network configuration for customer VPC connectivity.
The resource utilization for memory, storage, and vCPU for jobs.
The Amazon S3 configuration for monitoring log publishing. You can configure your jobs to send log information to Amazon S3.
The configurations for the Spark submit job driver.
The aggregate vCPU, memory, and storage resources used from the time job start executing till the time job is terminated, rounded up to the nearest second.
The cumulative configuration requirements for every worker instance of the worker type.
The specifications for a worker type.
The specifications for a worker type.
Enums
- When writing a match expression against
ApplicationState, it is important to ensure your code is forward-compatible. That is, if a match arm handles a case for a feature that is supported by the service but has not been represented as an enum variant in a current version of SDK, your code should continue to work when you upgrade SDK to a future version in which the enum does include a variant for that feature. - When writing a match expression against
Architecture, it is important to ensure your code is forward-compatible. That is, if a match arm handles a case for a feature that is supported by the service but has not been represented as an enum variant in a current version of SDK, your code should continue to work when you upgrade SDK to a future version in which the enum does include a variant for that feature. The driver that the job runs on.
- When writing a match expression against
JobRunState, it is important to ensure your code is forward-compatible. That is, if a match arm handles a case for a feature that is supported by the service but has not been represented as an enum variant in a current version of SDK, your code should continue to work when you upgrade SDK to a future version in which the enum does include a variant for that feature.