Struct aws_sdk_batch::client::fluent_builders::UpdateJobQueue

source · [−]

pub struct UpdateJobQueue<C = DynConnector, M = DefaultMiddleware, R = Standard> { /* private fields */ }

Expand description

Fluent builder constructing a request to UpdateJobQueue.

Updates a job queue.

Implementations

source

impl<C, M, R> UpdateJobQueue<C, M, R> where
 C: SmithyConnector,
 M: SmithyMiddleware<C>,
 R: NewRequestPolicy,

source

pub async fn send(
self
) -> Result<UpdateJobQueueOutput, SdkError<UpdateJobQueueError>> where
R::Policy: SmithyRetryPolicy<UpdateJobQueueInputOperationOutputAlias, UpdateJobQueueOutput, UpdateJobQueueError, UpdateJobQueueInputOperationRetryAlias>,

Sends the request and returns the response.

If an error occurs, an SdkError will be returned with additional details that can be matched against.

By default, any retryable failures will be retried twice. Retry behavior is configurable with the RetryConfig, which can be set when configuring the client.

source

pub fn job_queue(self, input: impl Into<String>) -> Self

The name or the Amazon Resource Name (ARN) of the job queue.

source

pub fn set_job_queue(self, input: Option<String>) -> Self

The name or the Amazon Resource Name (ARN) of the job queue.

source

pub fn state(self, input: JqState) -> Self

Describes the queue's ability to accept new jobs. If the job queue state is ENABLED, it can accept jobs. If the job queue state is DISABLED, new jobs can't be added to the queue, but jobs already in the queue can finish.

source

pub fn set_state(self, input: Option<JqState>) -> Self

Describes the queue's ability to accept new jobs. If the job queue state is ENABLED, it can accept jobs. If the job queue state is DISABLED, new jobs can't be added to the queue, but jobs already in the queue can finish.

source

pub fn scheduling_policy_arn(self, input: impl Into<String>) -> Self

Amazon Resource Name (ARN) of the fair share scheduling policy. Once a job queue is created, the fair share scheduling policy can be replaced but not removed. The format is aws:Partition:batch:Region:Account:scheduling-policy/Name . For example, aws:aws:batch:us-west-2:012345678910:scheduling-policy/MySchedulingPolicy.

source

pub fn set_scheduling_policy_arn(self, input: Option<String>) -> Self

Amazon Resource Name (ARN) of the fair share scheduling policy. Once a job queue is created, the fair share scheduling policy can be replaced but not removed. The format is aws:Partition:batch:Region:Account:scheduling-policy/Name . For example, aws:aws:batch:us-west-2:012345678910:scheduling-policy/MySchedulingPolicy.

source

pub fn priority(self, input: i32) -> Self

The priority of the job queue. Job queues with a higher priority (or a higher integer value for the priority parameter) are evaluated first when associated with the same compute environment. Priority is determined in descending order, for example, a job queue with a priority value of 10 is given scheduling preference over a job queue with a priority value of 1. All of the compute environments must be either EC2 (EC2 or SPOT) or Fargate (FARGATE or FARGATE_SPOT). EC2 and Fargate compute environments can't be mixed.

source

pub fn set_priority(self, input: Option<i32>) -> Self

The priority of the job queue. Job queues with a higher priority (or a higher integer value for the priority parameter) are evaluated first when associated with the same compute environment. Priority is determined in descending order, for example, a job queue with a priority value of 10 is given scheduling preference over a job queue with a priority value of 1. All of the compute environments must be either EC2 (EC2 or SPOT) or Fargate (FARGATE or FARGATE_SPOT). EC2 and Fargate compute environments can't be mixed.

source

pub fn compute_environment_order(self, input: ComputeEnvironmentOrder) -> Self

Appends an item to computeEnvironmentOrder.

To override the contents of this collection use set_compute_environment_order.

Details the set of compute environments mapped to a job queue and their order relative to each other. This is one of the parameters used by the job scheduler to determine which compute environment should run a given job. Compute environments must be in the VALID state before you can associate them with a job queue. All of the compute environments must be either EC2 (EC2 or SPOT) or Fargate (FARGATE or FARGATE_SPOT). EC2 and Fargate compute environments can't be mixed.

All compute environments that are associated with a job queue must share the same architecture. Batch doesn't support mixing compute environment architecture types in a single job queue.

source

pub fn set_compute_environment_order(
self,
input: Option<Vec<ComputeEnvironmentOrder>>
) -> Self

Details the set of compute environments mapped to a job queue and their order relative to each other. This is one of the parameters used by the job scheduler to determine which compute environment should run a given job. Compute environments must be in the VALID state before you can associate them with a job queue. All of the compute environments must be either EC2 (EC2 or SPOT) or Fargate (FARGATE or FARGATE_SPOT). EC2 and Fargate compute environments can't be mixed.

All compute environments that are associated with a job queue must share the same architecture. Batch doesn't support mixing compute environment architecture types in a single job queue.