software.amazon.awssdk.services.athena.model

Interface EngineConfiguration.Builder

All Superinterfaces:

Buildable, CopyableBuilder<EngineConfiguration.Builder,EngineConfiguration>, SdkBuilder<EngineConfiguration.Builder,EngineConfiguration>, SdkPojo

Enclosing class:

EngineConfiguration

public static interface EngineConfiguration.Builder
extends SdkPojo, CopyableBuilder<EngineConfiguration.Builder,EngineConfiguration>

Method Summary

Modifier and Type	Method and Description
EngineConfiguration.Builder	additionalConfigs(Map<String,String> additionalConfigs) Contains additional notebook engine MAP<string, string> parameter mappings in the form of key-value pairs.
EngineConfiguration.Builder	coordinatorDpuSize(Integer coordinatorDpuSize) The number of DPUs to use for the coordinator.
EngineConfiguration.Builder	defaultExecutorDpuSize(Integer defaultExecutorDpuSize) The default number of DPUs to use for executors.
EngineConfiguration.Builder	maxConcurrentDpus(Integer maxConcurrentDpus) The maximum number of DPUs that can run concurrently.
EngineConfiguration.Builder	sparkProperties(Map<String,String> sparkProperties) Specifies custom jar files and Spark properties for use cases like cluster encryption, table formats, and general Spark tuning.

Methods inherited from interface software.amazon.awssdk.core.SdkPojo

equalsBySdkFields, sdkFields

Methods inherited from interface software.amazon.awssdk.utils.builder.CopyableBuilder

copy

Methods inherited from interface software.amazon.awssdk.utils.builder.SdkBuilder

applyMutation, build

Method Detail

coordinatorDpuSize

EngineConfiguration.Builder coordinatorDpuSize(Integer coordinatorDpuSize)

The number of DPUs to use for the coordinator. A coordinator is a special executor that orchestrates processing work and manages other executors in a notebook session. The default is 1.

Parameters:

coordinatorDpuSize - The number of DPUs to use for the coordinator. A coordinator is a special executor that orchestrates processing work and manages other executors in a notebook session. The default is 1.

Returns:

Returns a reference to this object so that method calls can be chained together.

maxConcurrentDpus

EngineConfiguration.Builder maxConcurrentDpus(Integer maxConcurrentDpus)

The maximum number of DPUs that can run concurrently.

Parameters:

maxConcurrentDpus - The maximum number of DPUs that can run concurrently.

Returns:

Returns a reference to this object so that method calls can be chained together.

defaultExecutorDpuSize

EngineConfiguration.Builder defaultExecutorDpuSize(Integer defaultExecutorDpuSize)

The default number of DPUs to use for executors. An executor is the smallest unit of compute that a notebook session can request from Athena. The default is 1.

Parameters:

defaultExecutorDpuSize - The default number of DPUs to use for executors. An executor is the smallest unit of compute that a notebook session can request from Athena. The default is 1.

Returns:

Returns a reference to this object so that method calls can be chained together.

additionalConfigs

EngineConfiguration.Builder additionalConfigs(Map<String,String> additionalConfigs)

Contains additional notebook engine MAP<string, string> parameter mappings in the form of key-value pairs. To specify an Athena notebook that the Jupyter server will download and serve, specify a value for the StartSessionRequest$NotebookVersion field, and then add a key named NotebookId to AdditionalConfigs that has the value of the Athena notebook ID.

Parameters:

additionalConfigs - Contains additional notebook engine MAP<string, string> parameter mappings in the form of key-value pairs. To specify an Athena notebook that the Jupyter server will download and serve, specify a value for the StartSessionRequest$NotebookVersion field, and then add a key named NotebookId to AdditionalConfigs that has the value of the Athena notebook ID.

Returns:

Returns a reference to this object so that method calls can be chained together.

sparkProperties

EngineConfiguration.Builder sparkProperties(Map<String,String> sparkProperties)

Specifies custom jar files and Spark properties for use cases like cluster encryption, table formats, and general Spark tuning.

Parameters:

sparkProperties - Specifies custom jar files and Spark properties for use cases like cluster encryption, table formats, and general Spark tuning.

Returns:

Returns a reference to this object so that method calls can be chained together.