Struct aws_sdk_athena::types::EngineConfiguration

#[non_exhaustive]
pub struct EngineConfiguration {
    pub coordinator_dpu_size: Option<i32>,
    pub max_concurrent_dpus: i32,
    pub default_executor_dpu_size: Option<i32>,
    pub additional_configs: Option<HashMap<String, String>>,
    pub spark_properties: Option<HashMap<String, String>>,
}

Contains data processing unit (DPU) configuration settings and parameter mappings for a notebook engine.

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

coordinator_dpu_size: Option<i32>

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.

max_concurrent_dpus: i32

The maximum number of DPUs that can run concurrently.

default_executor_dpu_size: Option<i32>

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.

additional_configs: Option<HashMap<String, String>>

Contains additional notebook engine MAP 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.

spark_properties: Option<HashMap<String, String>>

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

Implementations

impl EngineConfiguration

pub fn coordinator_dpu_size(&self) -> Option<i32>

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.

pub fn max_concurrent_dpus(&self) -> i32

The maximum number of DPUs that can run concurrently.

pub fn default_executor_dpu_size(&self) -> Option<i32>

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.

pub fn additional_configs(&self) -> Option<&HashMap<String, String>>

Contains additional notebook engine MAP 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.

pub fn spark_properties(&self) -> Option<&HashMap<String, String>>

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

impl EngineConfiguration

pub fn builder() -> EngineConfigurationBuilder

Creates a new builder-style object to manufacture EngineConfiguration.

Trait Implementations

impl Clone for EngineConfiguration

fn clone(&self) -> EngineConfiguration

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for EngineConfiguration

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl PartialEq for EngineConfiguration

fn eq(&self, other: &EngineConfiguration) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for EngineConfiguration