AutoCloseable
@Generated("software.amazon.awssdk:codegen") public interface BatchAsyncClient extends AutoCloseable
builder()
method.
AWS Batch enables you to run batch computing workloads on the AWS Cloud. Batch computing is a common way for developers, scientists, and engineers to access large amounts of compute resources, and AWS Batch removes the undifferentiated heavy lifting of configuring and managing the required infrastructure. AWS Batch will be familiar to users of traditional batch computing software. This service can efficiently provision resources in response to jobs submitted in order to eliminate capacity constraints, reduce compute costs, and deliver results quickly.
As a fully managed service, AWS Batch enables developers, scientists, and engineers to run batch computing workloads of any scale. AWS Batch automatically provisions compute resources and optimizes the workload distribution based on the quantity and scale of the workloads. With AWS Batch, there is no need to install or manage batch computing software, which allows you to focus on analyzing results and solving problems. AWS Batch reduces operational complexities, saves time, and reduces costs, which makes it easy for developers, scientists, and engineers to run their batch jobs in the AWS Cloud.
close
static BatchAsyncClient create()
BatchAsyncClient
with the region loaded from the
DefaultAwsRegionProviderChain
and credentials loaded from the
DefaultCredentialsProvider
.static BatchAsyncClientBuilder builder()
BatchAsyncClient
.default CompletableFuture<CancelJobResponse> cancelJob(CancelJobRequest cancelJobRequest)
Cancels jobs in an AWS Batch job queue. Jobs that are in the SUBMITTED
, PENDING
, or
RUNNABLE
state are cancelled. Jobs that have progressed to STARTING
or
RUNNING
are not cancelled (but the API operation still succeeds, even if no jobs are cancelled);
these jobs must be terminated with the TerminateJob operation.
cancelJobRequest
- default CompletableFuture<CreateComputeEnvironmentResponse> createComputeEnvironment(CreateComputeEnvironmentRequest createComputeEnvironmentRequest)
Creates an AWS Batch compute environment. You can create MANAGED
or UNMANAGED
compute
environments.
In a managed compute environment, AWS Batch manages the compute resources within the environment, based on the compute resources that you specify. Instances launched into a managed compute environment use the latest Amazon ECS-optimized AMI. You can choose to use Amazon EC2 On-Demand instances in your managed compute environment, or you can use Amazon EC2 Spot instances that only launch when the Spot bid price is below a specified percentage of the On-Demand price.
In an unmanaged compute environment, you can manage your own compute resources. This provides more compute resource configuration options, such as using a custom AMI, but you must ensure that your AMI meets the Amazon ECS container instance AMI specification. For more information, see Container Instance AMIs in the Amazon EC2 Container Service Developer Guide. After you have created your unmanaged compute environment, you can use the DescribeComputeEnvironments operation to find the Amazon ECS cluster that is associated with it and then manually launch your container instances into that Amazon ECS cluster. For more information, see Launching an Amazon ECS Container Instance in the Amazon EC2 Container Service Developer Guide.
createComputeEnvironmentRequest
- default CompletableFuture<CreateJobQueueResponse> createJobQueue(CreateJobQueueRequest createJobQueueRequest)
Creates an AWS Batch job queue. When you create a job queue, you associate one or more compute environments to the queue and assign an order of preference for the compute environments.
You also set a priority to the job queue that determines the order in which the AWS Batch scheduler places jobs onto its associated compute environments. For example, if a compute environment is associated with more than one job queue, the job queue with a higher priority is given preference for scheduling jobs to that compute environment.
createJobQueueRequest
- default CompletableFuture<DeleteComputeEnvironmentResponse> deleteComputeEnvironment(DeleteComputeEnvironmentRequest deleteComputeEnvironmentRequest)
Deletes an AWS Batch compute environment.
Before you can delete a compute environment, you must set its state to DISABLED
with the
UpdateComputeEnvironment API operation and disassociate it from any job queues with the
UpdateJobQueue API operation.
deleteComputeEnvironmentRequest
- default CompletableFuture<DeleteJobQueueResponse> deleteJobQueue(DeleteJobQueueRequest deleteJobQueueRequest)
Deletes the specified job queue. You must first disable submissions for a queue with the UpdateJobQueue operation and terminate any jobs that have not completed with the TerminateJob.
It is not necessary to disassociate compute environments from a queue before submitting a
DeleteJobQueue
request.
deleteJobQueueRequest
- default CompletableFuture<DeregisterJobDefinitionResponse> deregisterJobDefinition(DeregisterJobDefinitionRequest deregisterJobDefinitionRequest)
Deregisters an AWS Batch job definition.
deregisterJobDefinitionRequest
- default CompletableFuture<DescribeComputeEnvironmentsResponse> describeComputeEnvironments(DescribeComputeEnvironmentsRequest describeComputeEnvironmentsRequest)
Describes one or more of your compute environments.
If you are using an unmanaged compute environment, you can use the DescribeComputeEnvironment
operation to determine the ecsClusterArn
that you should launch your Amazon ECS container instances
into.
describeComputeEnvironmentsRequest
- default CompletableFuture<DescribeJobDefinitionsResponse> describeJobDefinitions(DescribeJobDefinitionsRequest describeJobDefinitionsRequest)
Describes a list of job definitions. You can specify a status
(such as ACTIVE
) to only
return job definitions that match that status.
describeJobDefinitionsRequest
- default CompletableFuture<DescribeJobQueuesResponse> describeJobQueues(DescribeJobQueuesRequest describeJobQueuesRequest)
Describes one or more of your job queues.
describeJobQueuesRequest
- default CompletableFuture<DescribeJobsResponse> describeJobs(DescribeJobsRequest describeJobsRequest)
Describes a list of AWS Batch jobs.
describeJobsRequest
- default CompletableFuture<ListJobsResponse> listJobs(ListJobsRequest listJobsRequest)
Returns a list of task jobs for a specified job queue. You can filter the results by job status with the
jobStatus
parameter.
listJobsRequest
- default CompletableFuture<RegisterJobDefinitionResponse> registerJobDefinition(RegisterJobDefinitionRequest registerJobDefinitionRequest)
Registers an AWS Batch job definition.
registerJobDefinitionRequest
- default CompletableFuture<SubmitJobResponse> submitJob(SubmitJobRequest submitJobRequest)
Submits an AWS Batch job from a job definition. Parameters specified during SubmitJob override parameters defined in the job definition.
submitJobRequest
- default CompletableFuture<TerminateJobResponse> terminateJob(TerminateJobRequest terminateJobRequest)
Terminates jobs in a job queue. Jobs that are in the STARTING
or RUNNING
state are
terminated, which causes them to transition to FAILED
. Jobs that have not progressed to the
STARTING
state are cancelled.
terminateJobRequest
- default CompletableFuture<UpdateComputeEnvironmentResponse> updateComputeEnvironment(UpdateComputeEnvironmentRequest updateComputeEnvironmentRequest)
Updates an AWS Batch compute environment.
updateComputeEnvironmentRequest
- default CompletableFuture<UpdateJobQueueResponse> updateJobQueue(UpdateJobQueueRequest updateJobQueueRequest)
Updates a job queue.
updateJobQueueRequest
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