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BatchClient
Using Batch, you can run batch computing workloads on the Amazon Web Services Cloud. Batch computing is a common means for developers, scientists, and engineers to access large amounts of compute resources. Batch uses the advantages of the batch computing to remove the undifferentiated heavy lifting of configuring and managing required infrastructure. At the same time, it also adopts a familiar batch computing software approach. You can use Batch to efficiently provision resources, and work toward eliminating capacity constraints, reducing your overall compute costs, and delivering results more quickly.
As a fully managed service, Batch can run batch computing workloads of any scale. Batch automatically provisions compute resources and optimizes workload distribution based on the quantity and scale of your specific workloads. With Batch, there's no need to install or manage batch computing software. This means that you can focus on analyzing results and solving your specific problems instead.
Installation
npm install @aws-sdk/client-batch
yarn add @aws-sdk/client-batch
pnpm add @aws-sdk/client-batch
BatchClient Operations
Command | Summary |
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Command | Summary |
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CancelJobCommand | Cancels a job in an Batch job queue. Jobs that are in a A When you try to cancel an array parent job in Jobs that progressed to the |
CreateComputeEnvironmentCommand | Creates an Batch compute environment. You can create In a managed compute environment, Batch manages the capacity and instance types of the compute resources within the environment. This is based on the compute resource specification that you define or the launch template that you specify when you create the compute environment. Either, you can choose to use EC2 On-Demand Instances and EC2 Spot Instances. Or, you can use Fargate and Fargate Spot capacity in your managed compute environment. You can optionally set a maximum price so that Spot Instances only launch when the Spot Instance price is less than a specified percentage of the On-Demand price. Multi-node parallel jobs aren't supported on Spot Instances. In an unmanaged compute environment, you can manage your own EC2 compute resources and have flexibility with how you configure your compute resources. For example, you can use custom AMIs. However, you must verify that each of your AMIs meet the Amazon ECS container instance AMI specification. For more information, see container instance AMIs in the Amazon Elastic Container Service Developer Guide. After you created your unmanaged compute environment, you can use the DescribeComputeEnvironments operation to find the Amazon ECS cluster that's associated with it. Then, launch your container instances into that Amazon ECS cluster. For more information, see Launching an Amazon ECS container instance in the Amazon Elastic Container Service Developer Guide. To create a compute environment that uses EKS resources, the caller must have permissions to call Batch doesn't automatically upgrade the AMIs in a compute environment after it's created. For example, it also doesn't update the AMIs in your compute environment when a newer version of the Amazon ECS optimized AMI is available. You're responsible for the management of the guest operating system. This includes any updates and security patches. You're also responsible for any additional application software or utilities that you install on the compute resources. There are two ways to use a new AMI for your Batch jobs. The original method is to complete these steps:
In April 2022, Batch added enhanced support for updating compute environments. For more information, see Updating compute environments . To use the enhanced updating of compute environments to update AMIs, follow these rules:
If these rules are followed, any update that starts an infrastructure update causes the AMI ID to be re-selected. If the |
CreateJobQueueCommand | Creates an 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 that the 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. |
CreateSchedulingPolicyCommand | Creates an Batch scheduling policy. |
DeleteComputeEnvironmentCommand | Deletes an Batch compute environment. Before you can delete a compute environment, you must set its state to |
DeleteJobQueueCommand | Deletes the specified job queue. You must first disable submissions for a queue with the UpdateJobQueue operation. All jobs in the queue are eventually terminated when you delete a job queue. The jobs are terminated at a rate of about 16 jobs each second. It's not necessary to disassociate compute environments from a queue before submitting a |
DeleteSchedulingPolicyCommand | Deletes the specified scheduling policy. You can't delete a scheduling policy that's used in any job queues. |
DeregisterJobDefinitionCommand | Deregisters an Batch job definition. Job definitions are permanently deleted after 180 days. |
DescribeComputeEnvironmentsCommand | Describes one or more of your compute environments. If you're using an unmanaged compute environment, you can use the |
DescribeJobDefinitionsCommand | Describes a list of job definitions. You can specify a |
DescribeJobQueuesCommand | Describes one or more of your job queues. |
DescribeJobsCommand | Describes a list of Batch jobs. |
DescribeSchedulingPoliciesCommand | Describes one or more of your scheduling policies. |
GetJobQueueSnapshotCommand | Provides a list of the first 100 |
ListJobsCommand | Returns a list of Batch jobs. You must specify only one of the following items:
You can filter the results by job status with the |
ListSchedulingPoliciesCommand | Returns a list of Batch scheduling policies. |
ListTagsForResourceCommand | Lists the tags for an Batch resource. Batch resources that support tags are compute environments, jobs, job definitions, job queues, and scheduling policies. ARNs for child jobs of array and multi-node parallel (MNP) jobs aren't supported. |
RegisterJobDefinitionCommand | Registers an Batch job definition. |
SubmitJobCommand | Submits an Batch job from a job definition. Parameters that are specified during SubmitJob override parameters defined in the job definition. vCPU and memory requirements that are specified in the Job queues with a scheduling policy are limited to 500 active fair share identifiers at a time. Jobs that run on Fargate resources can't be guaranteed to run for more than 14 days. This is because, after 14 days, Fargate resources might become unavailable and job might be terminated. |
TagResourceCommand | Associates the specified tags to a resource with the specified |
TerminateJobCommand | Terminates a job in a job queue. Jobs that are in the |
UntagResourceCommand | Deletes specified tags from an Batch resource. |
UpdateComputeEnvironmentCommand | Updates an Batch compute environment. |
UpdateJobQueueCommand | Updates a job queue. |
UpdateSchedulingPolicyCommand | Updates a scheduling policy. |
BatchClient Configuration
Parameter | Type | Description |
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Parameter | Type | Description |
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defaultsMode Optional | DefaultsMode | Provider<DefaultsMode> | The @smithy/smithy-client#DefaultsMode that will be used to determine how certain default configuration options are resolved in the SDK. |
disableHostPrefix Optional | boolean | Disable dynamically changing the endpoint of the client based on the hostPrefix trait of an operation. |
extensions Optional | RuntimeExtension[] | Optional extensions |
logger Optional | Logger | Optional logger for logging debug/info/warn/error. |
maxAttempts Optional | number | Provider<number> | Value for how many times a request will be made at most in case of retry. |
profile Optional | string | Setting a client profile is similar to setting a value for the AWS_PROFILE environment variable. Setting a profile on a client in code only affects the single client instance, unlike AWS_PROFILE.When set, and only for environments where an AWS configuration file exists, fields configurable by this file will be retrieved from the specified profile within that file. Conflicting code configuration and environment variables will still have higher priority.For client credential resolution that involves checking the AWS configuration file, the client's profile (this value) will be used unless a different profile is set in the credential provider options. |
region Optional | string | Provider<string> | The AWS region to which this client will send requests |
requestHandler Optional | __HttpHandlerUserInput | The HTTP handler to use or its constructor options. Fetch in browser and Https in Nodejs. |
retryMode Optional | string | Provider<string> | Specifies which retry algorithm to use. |
useDualstackEndpoint Optional | boolean | Provider<boolean> | Enables IPv6/IPv4 dualstack endpoint. |
useFipsEndpoint Optional | boolean | Provider<boolean> | Enables FIPS compatible endpoints. |
Additional config fields are described in the full configuration type: BatchClientConfig