Struct gcp_client::google::cloud::dataproc::v1::BasicYarnAutoscalingConfig

pub struct BasicYarnAutoscalingConfig {
    pub graceful_decommission_timeout: Option<Duration>,
    pub scale_up_factor: f64,
    pub scale_down_factor: f64,
    pub scale_up_min_worker_fraction: f64,
    pub scale_down_min_worker_fraction: f64,
}

Basic autoscaling configurations for YARN.

Fields

graceful_decommission_timeout: Option<Duration>

Required. Timeout for YARN graceful decommissioning of Node Managers. Specifies the duration to wait for jobs to complete before forcefully removing workers (and potentially interrupting jobs). Only applicable to downscaling operations.

Bounds: [0s, 1d].

scale_up_factor: f64

Required. Fraction of average pending memory in the last cooldown period for which to add workers. A scale-up factor of 1.0 will result in scaling up so that there is no pending memory remaining after the update (more aggressive scaling). A scale-up factor closer to 0 will result in a smaller magnitude of scaling up (less aggressive scaling).

Bounds: [0.0, 1.0].

scale_down_factor: f64

Required. Fraction of average pending memory in the last cooldown period for which to remove workers. A scale-down factor of 1 will result in scaling down so that there is no available memory remaining after the update (more aggressive scaling). A scale-down factor of 0 disables removing workers, which can be beneficial for autoscaling a single job.

Bounds: [0.0, 1.0].

scale_up_min_worker_fraction: f64

Optional. Minimum scale-up threshold as a fraction of total cluster size before scaling occurs. For example, in a 20-worker cluster, a threshold of 0.1 means the autoscaler must recommend at least a 2-worker scale-up for the cluster to scale. A threshold of 0 means the autoscaler will scale up on any recommended change.

Bounds: [0.0, 1.0]. Default: 0.0.

scale_down_min_worker_fraction: f64

Optional. Minimum scale-down threshold as a fraction of total cluster size before scaling occurs. For example, in a 20-worker cluster, a threshold of 0.1 means the autoscaler must recommend at least a 2 worker scale-down for the cluster to scale. A threshold of 0 means the autoscaler will scale down on any recommended change.

Bounds: [0.0, 1.0]. Default: 0.0.

Trait Implementations

impl Clone for BasicYarnAutoscalingConfig

fn clone(&self) -> BasicYarnAutoscalingConfig

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for BasicYarnAutoscalingConfig

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

Formats the value using the given formatter.

impl Default for BasicYarnAutoscalingConfig

fn default() -> BasicYarnAutoscalingConfig

Returns the "default value" for a type.

impl Message for BasicYarnAutoscalingConfig

fn encode_raw<B>(&self, buf: &mut B) where
    B: BufMut, 

fn merge_field<B>(
    &mut self,
    tag: u32,
    wire_type: WireType,
    buf: &mut B,
    ctx: DecodeContext
) -> Result<(), DecodeError> where
    B: Buf, 

fn encoded_len(&self) -> usize

Returns the encoded length of the message without a length delimiter.

fn clear(&mut self)

Clears the message, resetting all fields to their default.

fn encode<B>(&self, buf: &mut B) -> Result<(), EncodeError> where
    B: BufMut, 

Encodes the message to a buffer.

fn encode_length_delimited<B>(&self, buf: &mut B) -> Result<(), EncodeError> where
    B: BufMut, 

Encodes the message with a length-delimiter to a buffer.

fn decode<B>(buf: B) -> Result<Self, DecodeError> where
    B: Buf,
    Self: Default, 

Decodes an instance of the message from a buffer.

fn decode_length_delimited<B>(buf: B) -> Result<Self, DecodeError> where
    B: Buf,
    Self: Default, 

Decodes a length-delimited instance of the message from the buffer.

fn merge<B>(&mut self, buf: B) -> Result<(), DecodeError> where
    B: Buf, 

Decodes an instance of the message from a buffer, and merges it into self.

fn merge_length_delimited<B>(&mut self, buf: B) -> Result<(), DecodeError> where
    B: Buf, 

Decodes a length-delimited instance of the message from buffer, and merges it into self.

impl PartialEq<BasicYarnAutoscalingConfig> for BasicYarnAutoscalingConfig

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

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

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

This method tests for !=.

impl StructuralPartialEq for BasicYarnAutoscalingConfig