Class: Aws::Batch::Client

Inherits:
Seahorse::Client::Base show all
Includes:
ClientStubs
Defined in:
gems/aws-sdk-batch/lib/aws-sdk-batch/client.rb

Overview

An API client for Batch. To construct a client, you need to configure a :region and :credentials.

client = Aws::Batch::Client.new(
  region: region_name,
  credentials: credentials,
  # ...
)

For details on configuring region and credentials see the developer guide.

See #initialize for a full list of supported configuration options.

Instance Attribute Summary

Attributes inherited from Seahorse::Client::Base

#config, #handlers

API Operations collapse

Instance Method Summary collapse

Methods included from ClientStubs

#api_requests, #stub_data, #stub_responses

Methods inherited from Seahorse::Client::Base

add_plugin, api, clear_plugins, define, new, #operation_names, plugins, remove_plugin, set_api, set_plugins

Methods included from Seahorse::Client::HandlerBuilder

#handle, #handle_request, #handle_response

Constructor Details

#initialize(options) ⇒ Client

Returns a new instance of Client.

Parameters:

  • options (Hash)

Options Hash (options):

  • :credentials (required, Aws::CredentialProvider) —

    Your AWS credentials. This can be an instance of any one of the following classes:

    • Aws::Credentials - Used for configuring static, non-refreshing credentials.

    • Aws::SharedCredentials - Used for loading static credentials from a shared file, such as ~/.aws/config.

    • Aws::AssumeRoleCredentials - Used when you need to assume a role.

    • Aws::AssumeRoleWebIdentityCredentials - Used when you need to assume a role after providing credentials via the web.

    • Aws::SSOCredentials - Used for loading credentials from AWS SSO using an access token generated from aws login.

    • Aws::ProcessCredentials - Used for loading credentials from a process that outputs to stdout.

    • Aws::InstanceProfileCredentials - Used for loading credentials from an EC2 IMDS on an EC2 instance.

    • Aws::ECSCredentials - Used for loading credentials from instances running in ECS.

    • Aws::CognitoIdentityCredentials - Used for loading credentials from the Cognito Identity service.

    When :credentials are not configured directly, the following locations will be searched for credentials:

    • Aws.config[:credentials]
    • The :access_key_id, :secret_access_key, and :session_token options.
    • ENV['AWS_ACCESS_KEY_ID'], ENV['AWS_SECRET_ACCESS_KEY']
    • ~/.aws/credentials
    • ~/.aws/config
    • EC2/ECS IMDS instance profile - When used by default, the timeouts are very aggressive. Construct and pass an instance of Aws::InstanceProfileCredentails or Aws::ECSCredentials to enable retries and extended timeouts.
  • :region (required, String) —

    The AWS region to connect to. The configured :region is used to determine the service :endpoint. When not passed, a default :region is searched for in the following locations:

    • Aws.config[:region]
    • ENV['AWS_REGION']
    • ENV['AMAZON_REGION']
    • ENV['AWS_DEFAULT_REGION']
    • ~/.aws/credentials
    • ~/.aws/config
  • :access_key_id (String)
  • :active_endpoint_cache (Boolean) — default: false —

    When set to true, a thread polling for endpoints will be running in the background every 60 secs (default). Defaults to false.

  • :adaptive_retry_wait_to_fill (Boolean) — default: true —

    Used only in adaptive retry mode. When true, the request will sleep until there is sufficent client side capacity to retry the request. When false, the request will raise a RetryCapacityNotAvailableError and will not retry instead of sleeping.

  • :client_side_monitoring (Boolean) — default: false —

    When true, client-side metrics will be collected for all API requests from this client.

  • :client_side_monitoring_client_id (String) — default: "" —

    Allows you to provide an identifier for this client which will be attached to all generated client side metrics. Defaults to an empty string.

  • :client_side_monitoring_host (String) — default: "127.0.0.1" —

    Allows you to specify the DNS hostname or IPv4 or IPv6 address that the client side monitoring agent is running on, where client metrics will be published via UDP.

  • :client_side_monitoring_port (Integer) — default: 31000 —

    Required for publishing client metrics. The port that the client side monitoring agent is running on, where client metrics will be published via UDP.

  • :client_side_monitoring_publisher (Aws::ClientSideMonitoring::Publisher) — default: Aws::ClientSideMonitoring::Publisher —

    Allows you to provide a custom client-side monitoring publisher class. By default, will use the Client Side Monitoring Agent Publisher.

  • :convert_params (Boolean) — default: true —

    When true, an attempt is made to coerce request parameters into the required types.

  • :correct_clock_skew (Boolean) — default: true —

    Used only in standard and adaptive retry modes. Specifies whether to apply a clock skew correction and retry requests with skewed client clocks.

  • :disable_host_prefix_injection (Boolean) — default: false —

    Set to true to disable SDK automatically adding host prefix to default service endpoint when available.

  • :endpoint (String) —

    The client endpoint is normally constructed from the :region option. You should only configure an :endpoint when connecting to test or custom endpoints. This should be a valid HTTP(S) URI.

  • :endpoint_cache_max_entries (Integer) — default: 1000 —

    Used for the maximum size limit of the LRU cache storing endpoints data for endpoint discovery enabled operations. Defaults to 1000.

  • :endpoint_cache_max_threads (Integer) — default: 10 —

    Used for the maximum threads in use for polling endpoints to be cached, defaults to 10.

  • :endpoint_cache_poll_interval (Integer) — default: 60 —

    When :endpoint_discovery and :active_endpoint_cache is enabled, Use this option to config the time interval in seconds for making requests fetching endpoints information. Defaults to 60 sec.

  • :endpoint_discovery (Boolean) — default: false —

    When set to true, endpoint discovery will be enabled for operations when available.

  • :log_formatter (Aws::Log::Formatter) — default: Aws::Log::Formatter.default —

    The log formatter.

  • :log_level (Symbol) — default: :info —

    The log level to send messages to the :logger at.

  • :logger (Logger) —

    The Logger instance to send log messages to. If this option is not set, logging will be disabled.

  • :max_attempts (Integer) — default: 3 —

    An integer representing the maximum number attempts that will be made for a single request, including the initial attempt. For example, setting this value to 5 will result in a request being retried up to 4 times. Used in standard and adaptive retry modes.

  • :profile (String) — default: "default" —

    Used when loading credentials from the shared credentials file at HOME/.aws/credentials. When not specified, 'default' is used.

  • :retry_backoff (Proc) —

    A proc or lambda used for backoff. Defaults to 2**retries * retry_base_delay. This option is only used in the legacy retry mode.

  • :retry_base_delay (Float) — default: 0.3 —

    The base delay in seconds used by the default backoff function. This option is only used in the legacy retry mode.

  • :retry_jitter (Symbol) — default: :none —

    A delay randomiser function used by the default backoff function. Some predefined functions can be referenced by name - :none, :equal, :full, otherwise a Proc that takes and returns a number. This option is only used in the legacy retry mode.

    @see https://www.awsarchitectureblog.com/2015/03/backoff.html

  • :retry_limit (Integer) — default: 3 —

    The maximum number of times to retry failed requests. Only ~ 500 level server errors and certain ~ 400 level client errors are retried. Generally, these are throttling errors, data checksum errors, networking errors, timeout errors, auth errors, endpoint discovery, and errors from expired credentials. This option is only used in the legacy retry mode.

  • :retry_max_delay (Integer) — default: 0 —

    The maximum number of seconds to delay between retries (0 for no limit) used by the default backoff function. This option is only used in the legacy retry mode.

  • :retry_mode (String) — default: "legacy" —

    Specifies which retry algorithm to use. Values are:

    • legacy - The pre-existing retry behavior. This is default value if no retry mode is provided.

    • standard - A standardized set of retry rules across the AWS SDKs. This includes support for retry quotas, which limit the number of unsuccessful retries a client can make.

    • adaptive - An experimental retry mode that includes all the functionality of standard mode along with automatic client side throttling. This is a provisional mode that may change behavior in the future.

  • :secret_access_key (String)
  • :session_token (String)
  • :stub_responses (Boolean) — default: false —

    Causes the client to return stubbed responses. By default fake responses are generated and returned. You can specify the response data to return or errors to raise by calling ClientStubs#stub_responses. See ClientStubs for more information.

    Please note When response stubbing is enabled, no HTTP requests are made, and retries are disabled.

  • :validate_params (Boolean) — default: true —

    When true, request parameters are validated before sending the request.

  • :http_proxy (URI::HTTP, String) —

    A proxy to send requests through. Formatted like 'http://proxy.com:123'.

  • :http_open_timeout (Float) — default: 15 —

    The number of seconds to wait when opening a HTTP session before raising a Timeout::Error.

  • :http_read_timeout (Integer) — default: 60 —

    The default number of seconds to wait for response data. This value can safely be set per-request on the session.

  • :http_idle_timeout (Float) — default: 5 —

    The number of seconds a connection is allowed to sit idle before it is considered stale. Stale connections are closed and removed from the pool before making a request.

  • :http_continue_timeout (Float) — default: 1 —

    The number of seconds to wait for a 100-continue response before sending the request body. This option has no effect unless the request has "Expect" header set to "100-continue". Defaults to nil which disables this behaviour. This value can safely be set per request on the session.

  • :http_wire_trace (Boolean) — default: false —

    When true, HTTP debug output will be sent to the :logger.

  • :ssl_verify_peer (Boolean) — default: true —

    When true, SSL peer certificates are verified when establishing a connection.

  • :ssl_ca_bundle (String) —

    Full path to the SSL certificate authority bundle file that should be used when verifying peer certificates. If you do not pass :ssl_ca_bundle or :ssl_ca_directory the the system default will be used if available.

  • :ssl_ca_directory (String) —

    Full path of the directory that contains the unbundled SSL certificate authority files for verifying peer certificates. If you do not pass :ssl_ca_bundle or :ssl_ca_directory the the system default will be used if available.



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# File 'gems/aws-sdk-batch/lib/aws-sdk-batch/client.rb', line 324

def initialize(*args)
  super
end

Instance Method Details

#cancel_job(params = {}) ⇒ Struct

Cancels a job in an AWS Batch job queue. Jobs that are in the SUBMITTED, PENDING, or RUNNABLE state are canceled. Jobs that have progressed to STARTING or RUNNING aren't canceled, but the API operation still succeeds, even if no job is canceled. These jobs must be terminated with the TerminateJob operation.

Examples:

Example: To cancel a job


# This example cancels a job with the specified job ID.

resp = client.cancel_job({
  job_id: "1d828f65-7a4d-42e8-996d-3b900ed59dc4", 
  reason: "Cancelling job.", 
})

resp.to_h outputs the following:
{
}

Request syntax with placeholder values


resp = client.cancel_job({
  job_id: "String", # required
  reason: "String", # required
})

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :job_id (required, String) —

    The AWS Batch job ID of the job to cancel.

  • :reason (required, String) —

    A message to attach to the job that explains the reason for canceling it. This message is returned by future DescribeJobs operations on the job. This message is also recorded in the AWS Batch activity logs.

Returns:

  • (Struct) —

    Returns an empty response.

See Also:



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# File 'gems/aws-sdk-batch/lib/aws-sdk-batch/client.rb', line 371

def cancel_job(params = {}, options = {})
  req = build_request(:cancel_job, params)
  req.send_request(options)
end

#create_compute_environment(params = {}) ⇒ Types::CreateComputeEnvironmentResponse

Creates an AWS Batch compute environment. You can create MANAGED or UNMANAGED compute environments. MANAGED compute environments can use Amazon EC2 or AWS Fargate resources. UNMANAGED compute environments can only use EC2 resources.

In a managed compute environment, AWS 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 a lot of 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.

AWS Batch doesn't upgrade the AMIs in a compute environment after the environment is created. For example, it doesn't update the AMIs when a newer version of the Amazon ECS optimized AMI is available. Therefore, you're responsible for managing the guest operating system (including its updates and security patches) and any additional application software or utilities that you install on the compute resources. To use a new AMI for your AWS Batch jobs, complete these steps:

  1. Create a new compute environment with the new AMI.

  2. Add the compute environment to an existing job queue.

  3. Remove the earlier compute environment from your job queue.

  4. Delete the earlier compute environment.

Examples:

Example: To create a managed EC2 compute environment


# This example creates a managed compute environment with specific C4 instance types that are launched on demand. The
# compute environment is called C4OnDemand.

resp = client.create_compute_environment({
  type: "MANAGED", 
  compute_environment_name: "C4OnDemand", 
  compute_resources: {
    type: "EC2", 
    desiredv_cpus: 48, 
    ec2_key_pair: "id_rsa", 
    instance_role: "ecsInstanceRole", 
    instance_types: [
      "c4.large", 
      "c4.xlarge", 
      "c4.2xlarge", 
      "c4.4xlarge", 
      "c4.8xlarge", 
    ], 
    maxv_cpus: 128, 
    minv_cpus: 0, 
    security_group_ids: [
      "sg-cf5093b2", 
    ], 
    subnets: [
      "subnet-220c0e0a", 
      "subnet-1a95556d", 
      "subnet-978f6dce", 
    ], 
    tags: {
      "Name" => "Batch Instance - C4OnDemand", 
    }, 
  }, 
  service_role: "arn:aws:iam::012345678910:role/AWSBatchServiceRole", 
  state: "ENABLED", 
})

resp.to_h outputs the following:
{
  compute_environment_arn: "arn:aws:batch:us-east-1:012345678910:compute-environment/C4OnDemand", 
  compute_environment_name: "C4OnDemand", 
}

Example: To create a managed EC2 Spot compute environment


# This example creates a managed compute environment with the M4 instance type that is launched when the Spot bid price is
# at or below 20% of the On-Demand price for the instance type. The compute environment is called M4Spot.

resp = client.create_compute_environment({
  type: "MANAGED", 
  compute_environment_name: "M4Spot", 
  compute_resources: {
    type: "SPOT", 
    bid_percentage: 20, 
    desiredv_cpus: 4, 
    ec2_key_pair: "id_rsa", 
    instance_role: "ecsInstanceRole", 
    instance_types: [
      "m4", 
    ], 
    maxv_cpus: 128, 
    minv_cpus: 0, 
    security_group_ids: [
      "sg-cf5093b2", 
    ], 
    spot_iam_fleet_role: "arn:aws:iam::012345678910:role/aws-ec2-spot-fleet-role", 
    subnets: [
      "subnet-220c0e0a", 
      "subnet-1a95556d", 
      "subnet-978f6dce", 
    ], 
    tags: {
      "Name" => "Batch Instance - M4Spot", 
    }, 
  }, 
  service_role: "arn:aws:iam::012345678910:role/AWSBatchServiceRole", 
  state: "ENABLED", 
})

resp.to_h outputs the following:
{
  compute_environment_arn: "arn:aws:batch:us-east-1:012345678910:compute-environment/M4Spot", 
  compute_environment_name: "M4Spot", 
}

Request syntax with placeholder values


resp = client.create_compute_environment({
  compute_environment_name: "String", # required
  type: "MANAGED", # required, accepts MANAGED, UNMANAGED
  state: "ENABLED", # accepts ENABLED, DISABLED
  compute_resources: {
    type: "EC2", # required, accepts EC2, SPOT, FARGATE, FARGATE_SPOT
    allocation_strategy: "BEST_FIT", # accepts BEST_FIT, BEST_FIT_PROGRESSIVE, SPOT_CAPACITY_OPTIMIZED
    minv_cpus: 1,
    maxv_cpus: 1, # required
    desiredv_cpus: 1,
    instance_types: ["String"],
    image_id: "String",
    subnets: ["String"], # required
    security_group_ids: ["String"],
    ec2_key_pair: "String",
    instance_role: "String",
    tags: {
      "String" => "String",
    },
    placement_group: "String",
    bid_percentage: 1,
    spot_iam_fleet_role: "String",
    launch_template: {
      launch_template_id: "String",
      launch_template_name: "String",
      version: "String",
    },
    ec2_configuration: [
      {
        image_type: "ImageType", # required
        image_id_override: "ImageIdOverride",
      },
    ],
  },
  service_role: "String",
  tags: {
    "TagKey" => "TagValue",
  },
})

Response structure


resp.compute_environment_name #=> String
resp.compute_environment_arn #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :compute_environment_name (required, String) —

    The name for your compute environment. Up to 128 letters (uppercase and lowercase), numbers, hyphens, and underscores are allowed.

  • :type (required, String) —

    The type of the compute environment: MANAGED or UNMANAGED. For more information, see Compute Environments in the AWS Batch User Guide.

  • :state (String) —

    The state of the compute environment. If the state is ENABLED, then the compute environment accepts jobs from a queue and can scale out automatically based on queues.

    If the state is ENABLED, then the AWS Batch scheduler can attempt to place jobs from an associated job queue on the compute resources within the environment. If the compute environment is managed, then it can scale its instances out or in automatically, based on the job queue demand.

    If the state is DISABLED, then the AWS Batch scheduler doesn't attempt to place jobs within the environment. Jobs in a STARTING or RUNNING state continue to progress normally. Managed compute environments in the DISABLED state don't scale out. However, they scale in to minvCpus value after instances become idle.

  • :compute_resources (Types::ComputeResource) —

    Details about the compute resources managed by the compute environment. This parameter is required for managed compute environments. For more information, see Compute Environments in the AWS Batch User Guide.

  • :service_role (String) —

    The full Amazon Resource Name (ARN) of the IAM role that allows AWS Batch to make calls to other AWS services on your behalf. For more information, see AWS Batch service IAM role in the AWS Batch User Guide.

    If your account has already created the AWS Batch service-linked role, that role is used by default for your compute environment unless you specify a role here. If the AWS Batch service-linked role does not exist in your account, and no role is specified here, the service will try to create the AWS Batch service-linked role in your account.

    If your specified role has a path other than /, then you must specify either the full role ARN (recommended) or prefix the role name with the path. For example, if a role with the name bar has a path of /foo/ then you would specify /foo/bar as the role name. For more information, see Friendly names and paths in the IAM User Guide.

    Depending on how you created your AWS Batch service role, its ARN might contain the service-role path prefix. When you only specify the name of the service role, AWS Batch assumes that your ARN doesn't use the service-role path prefix. Because of this, we recommend that you specify the full ARN of your service role when you create compute environments.

  • :tags (Hash<String,String>) —

    The tags that you apply to the compute environment to help you categorize and organize your resources. Each tag consists of a key and an optional value. For more information, see Tagging AWS Resources in AWS General Reference.

    These tags can be updated or removed using the TagResource and UntagResource API operations. These tags don't propagate to the underlying compute resources.

Returns:

See Also:



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# File 'gems/aws-sdk-batch/lib/aws-sdk-batch/client.rb', line 665

def create_compute_environment(params = {}, options = {})
  req = build_request(:create_compute_environment, params)
  req.send_request(options)
end

#create_job_queue(params = {}) ⇒ Types::CreateJobQueueResponse

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 that 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.

Examples:

Example: To create a job queue with a single compute environment


# This example creates a job queue called LowPriority that uses the M4Spot compute environment.

resp = client.create_job_queue({
  compute_environment_order: [
    {
      compute_environment: "M4Spot", 
      order: 1, 
    }, 
  ], 
  job_queue_name: "LowPriority", 
  priority: 1, 
  state: "ENABLED", 
})

resp.to_h outputs the following:
{
  job_queue_arn: "arn:aws:batch:us-east-1:012345678910:job-queue/LowPriority", 
  job_queue_name: "LowPriority", 
}

Example: To create a job queue with multiple compute environments


# This example creates a job queue called HighPriority that uses the C4OnDemand compute environment with an order of 1 and
# the M4Spot compute environment with an order of 2.

resp = client.create_job_queue({
  compute_environment_order: [
    {
      compute_environment: "C4OnDemand", 
      order: 1, 
    }, 
    {
      compute_environment: "M4Spot", 
      order: 2, 
    }, 
  ], 
  job_queue_name: "HighPriority", 
  priority: 10, 
  state: "ENABLED", 
})

resp.to_h outputs the following:
{
  job_queue_arn: "arn:aws:batch:us-east-1:012345678910:job-queue/HighPriority", 
  job_queue_name: "HighPriority", 
}

Request syntax with placeholder values


resp = client.create_job_queue({
  job_queue_name: "String", # required
  state: "ENABLED", # accepts ENABLED, DISABLED
  priority: 1, # required
  compute_environment_order: [ # required
    {
      order: 1, # required
      compute_environment: "String", # required
    },
  ],
  tags: {
    "TagKey" => "TagValue",
  },
})

Response structure


resp.job_queue_name #=> String
resp.job_queue_arn #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :job_queue_name (required, String) —

    The name of the job queue. Up to 128 letters (uppercase and lowercase), numbers, and underscores are allowed.

  • :state (String) —

    The state of the job queue. If the job queue state is ENABLED, it is able to 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.

  • :priority (required, Integer) —

    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 cannot be mixed.

  • :compute_environment_order (required, Array<Types::ComputeEnvironmentOrder>) —

    The set of compute environments mapped to a job queue and their order relative to each other. The job scheduler uses this parameter to determine which compute environment should run a specific job. Compute environments must be in the VALID state before you can associate them with a job queue. You can associate up to three compute environments 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. AWS Batch doesn't support mixing compute environment architecture types in a single job queue.

  • :tags (Hash<String,String>) —

    The tags that you apply to the job queue to help you categorize and organize your resources. Each tag consists of a key and an optional value. For more information, see Tagging your AWS Batch resources in AWS Batch User Guide.

Returns:

See Also:



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# File 'gems/aws-sdk-batch/lib/aws-sdk-batch/client.rb', line 807

def create_job_queue(params = {}, options = {})
  req = build_request(:create_job_queue, params)
  req.send_request(options)
end

#delete_compute_environment(params = {}) ⇒ Struct

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. Compute environments that use AWS Fargate resources must terminate all active jobs on that compute environment before deleting the compute environment. If this isn't done, the compute environment enters an invalid state.

Examples:

Example: To delete a compute environment


# This example deletes the P2OnDemand compute environment.

resp = client.delete_compute_environment({
  compute_environment: "P2OnDemand", 
})

resp.to_h outputs the following:
{
}

Request syntax with placeholder values


resp = client.delete_compute_environment({
  compute_environment: "String", # required
})

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :compute_environment (required, String) —

    The name or Amazon Resource Name (ARN) of the compute environment to delete.

Returns:

  • (Struct) —

    Returns an empty response.

See Also:



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# File 'gems/aws-sdk-batch/lib/aws-sdk-batch/client.rb', line 851

def delete_compute_environment(params = {}, options = {})
  req = build_request(:delete_compute_environment, params)
  req.send_request(options)
end

#delete_job_queue(params = {}) ⇒ Struct

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 DeleteJobQueue request.

Examples:

Example: To delete a job queue


# This example deletes the GPGPU job queue.

resp = client.delete_job_queue({
  job_queue: "GPGPU", 
})

resp.to_h outputs the following:
{
}

Request syntax with placeholder values


resp = client.delete_job_queue({
  job_queue: "String", # required
})

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :job_queue (required, String) —

    The short name or full Amazon Resource Name (ARN) of the queue to delete.

Returns:

  • (Struct) —

    Returns an empty response.

See Also:



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# File 'gems/aws-sdk-batch/lib/aws-sdk-batch/client.rb', line 893

def delete_job_queue(params = {}, options = {})
  req = build_request(:delete_job_queue, params)
  req.send_request(options)
end

#deregister_job_definition(params = {}) ⇒ Struct

Deregisters an AWS Batch job definition. Job definitions are permanently deleted after 180 days.

Examples:

Example: To deregister a job definition


# This example deregisters a job definition called sleep10.

resp = client.deregister_job_definition({
  job_definition: "sleep10", 
})

resp.to_h outputs the following:
{
}

Request syntax with placeholder values


resp = client.deregister_job_definition({
  job_definition: "String", # required
})

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :job_definition (required, String) —

    The name and revision (name:revision) or full Amazon Resource Name (ARN) of the job definition to deregister.

Returns:

  • (Struct) —

    Returns an empty response.

See Also:



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# File 'gems/aws-sdk-batch/lib/aws-sdk-batch/client.rb', line 930

def deregister_job_definition(params = {}, options = {})
  req = build_request(:deregister_job_definition, params)
  req.send_request(options)
end

#describe_compute_environments(params = {}) ⇒ Types::DescribeComputeEnvironmentsResponse

Describes one or more of your compute environments.

If you're 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.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Example: To describe a compute environment


# This example describes the P2OnDemand compute environment.

resp = client.describe_compute_environments({
  compute_environments: [
    "P2OnDemand", 
  ], 
})

resp.to_h outputs the following:
{
  compute_environments: [
    {
      type: "MANAGED", 
      compute_environment_arn: "arn:aws:batch:us-east-1:012345678910:compute-environment/P2OnDemand", 
      compute_environment_name: "P2OnDemand", 
      compute_resources: {
        type: "EC2", 
        desiredv_cpus: 48, 
        ec2_key_pair: "id_rsa", 
        instance_role: "ecsInstanceRole", 
        instance_types: [
          "p2", 
        ], 
        maxv_cpus: 128, 
        minv_cpus: 0, 
        security_group_ids: [
          "sg-cf5093b2", 
        ], 
        subnets: [
          "subnet-220c0e0a", 
          "subnet-1a95556d", 
          "subnet-978f6dce", 
        ], 
        tags: {
          "Name" => "Batch Instance - P2OnDemand", 
        }, 
      }, 
      ecs_cluster_arn: "arn:aws:ecs:us-east-1:012345678910:cluster/P2OnDemand_Batch_2c06f29d-d1fe-3a49-879d-42394c86effc", 
      service_role: "arn:aws:iam::012345678910:role/AWSBatchServiceRole", 
      state: "ENABLED", 
      status: "VALID", 
      status_reason: "ComputeEnvironment Healthy", 
    }, 
  ], 
}

Request syntax with placeholder values


resp = client.describe_compute_environments({
  compute_environments: ["String"],
  max_results: 1,
  next_token: "String",
})

Response structure


resp.compute_environments #=> Array
resp.compute_environments[0].compute_environment_name #=> String
resp.compute_environments[0].compute_environment_arn #=> String
resp.compute_environments[0].ecs_cluster_arn #=> String
resp.compute_environments[0].tags #=> Hash
resp.compute_environments[0].tags["TagKey"] #=> String
resp.compute_environments[0].type #=> String, one of "MANAGED", "UNMANAGED"
resp.compute_environments[0].state #=> String, one of "ENABLED", "DISABLED"
resp.compute_environments[0].status #=> String, one of "CREATING", "UPDATING", "DELETING", "DELETED", "VALID", "INVALID"
resp.compute_environments[0].status_reason #=> String
resp.compute_environments[0].compute_resources.type #=> String, one of "EC2", "SPOT", "FARGATE", "FARGATE_SPOT"
resp.compute_environments[0].compute_resources.allocation_strategy #=> String, one of "BEST_FIT", "BEST_FIT_PROGRESSIVE", "SPOT_CAPACITY_OPTIMIZED"
resp.compute_environments[0].compute_resources.minv_cpus #=> Integer
resp.compute_environments[0].compute_resources.maxv_cpus #=> Integer
resp.compute_environments[0].compute_resources.desiredv_cpus #=> Integer
resp.compute_environments[0].compute_resources.instance_types #=> Array
resp.compute_environments[0].compute_resources.instance_types[0] #=> String
resp.compute_environments[0].compute_resources.image_id #=> String
resp.compute_environments[0].compute_resources.subnets #=> Array
resp.compute_environments[0].compute_resources.subnets[0] #=> String
resp.compute_environments[0].compute_resources.security_group_ids #=> Array
resp.compute_environments[0].compute_resources.security_group_ids[0] #=> String
resp.compute_environments[0].compute_resources.ec2_key_pair #=> String
resp.compute_environments[0].compute_resources.instance_role #=> String
resp.compute_environments[0].compute_resources.tags #=> Hash
resp.compute_environments[0].compute_resources.tags["String"] #=> String
resp.compute_environments[0].compute_resources.placement_group #=> String
resp.compute_environments[0].compute_resources.bid_percentage #=> Integer
resp.compute_environments[0].compute_resources.spot_iam_fleet_role #=> String
resp.compute_environments[0].compute_resources.launch_template.launch_template_id #=> String
resp.compute_environments[0].compute_resources.launch_template.launch_template_name #=> String
resp.compute_environments[0].compute_resources.launch_template.version #=> String
resp.compute_environments[0].compute_resources.ec2_configuration #=> Array
resp.compute_environments[0].compute_resources.ec2_configuration[0].image_type #=> String
resp.compute_environments[0].compute_resources.ec2_configuration[0].image_id_override #=> String
resp.compute_environments[0].service_role #=> String
resp.next_token #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :compute_environments (Array<String>) —

    A list of up to 100 compute environment names or full Amazon Resource Name (ARN) entries.

  • :max_results (Integer) —

    The maximum number of cluster results returned by DescribeComputeEnvironments in paginated output. When this parameter is used, DescribeComputeEnvironments only returns maxResults results in a single page along with a nextToken response element. The remaining results of the initial request can be seen by sending another DescribeComputeEnvironments request with the returned nextToken value. This value can be between 1 and 100. If this parameter isn't used, then DescribeComputeEnvironments returns up to 100 results and a nextToken value if applicable.

  • :next_token (String) —

    The nextToken value returned from a previous paginated DescribeComputeEnvironments request where maxResults was used and the results exceeded the value of that parameter. Pagination continues from the end of the previous results that returned the nextToken value. This value is null when there are no more results to return.

    This token should be treated as an opaque identifier that's only used to retrieve the next items in a list and not for other programmatic purposes.

Returns:

See Also:



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# File 'gems/aws-sdk-batch/lib/aws-sdk-batch/client.rb', line 1078

def describe_compute_environments(params = {}, options = {})
  req = build_request(:describe_compute_environments, params)
  req.send_request(options)
end

#describe_job_definitions(params = {}) ⇒ Types::DescribeJobDefinitionsResponse

Describes a list of job definitions. You can specify a status (such as ACTIVE) to only return job definitions that match that status.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Example: To describe active job definitions


# This example describes all of your active job definitions.

resp = client.describe_job_definitions({
  status: "ACTIVE", 
})

resp.to_h outputs the following:
{
  job_definitions: [
    {
      type: "container", 
      container_properties: {
        command: [
          "sleep", 
          "60", 
        ], 
        environment: [
        ], 
        image: "busybox", 
        memory: 128, 
        mount_points: [
        ], 
        ulimits: [
        ], 
        vcpus: 1, 
        volumes: [
        ], 
      }, 
      job_definition_arn: "arn:aws:batch:us-east-1:012345678910:job-definition/sleep60:1", 
      job_definition_name: "sleep60", 
      revision: 1, 
      status: "ACTIVE", 
    }, 
  ], 
}

Request syntax with placeholder values


resp = client.describe_job_definitions({
  job_definitions: ["String"],
  max_results: 1,
  job_definition_name: "String",
  status: "String",
  next_token: "String",
})

Response structure


resp.job_definitions #=> Array
resp.job_definitions[0].job_definition_name #=> String
resp.job_definitions[0].job_definition_arn #=> String
resp.job_definitions[0].revision #=> Integer
resp.job_definitions[0].status #=> String
resp.job_definitions[0].type #=> String
resp.job_definitions[0].parameters #=> Hash
resp.job_definitions[0].parameters["String"] #=> String
resp.job_definitions[0].retry_strategy.attempts #=> Integer
resp.job_definitions[0].retry_strategy.evaluate_on_exit #=> Array
resp.job_definitions[0].retry_strategy.evaluate_on_exit[0].on_status_reason #=> String
resp.job_definitions[0].retry_strategy.evaluate_on_exit[0].on_reason #=> String
resp.job_definitions[0].retry_strategy.evaluate_on_exit[0].on_exit_code #=> String
resp.job_definitions[0].retry_strategy.evaluate_on_exit[0].action #=> String, one of "RETRY", "EXIT"
resp.job_definitions[0].container_properties.image #=> String
resp.job_definitions[0].container_properties.vcpus #=> Integer
resp.job_definitions[0].container_properties.memory #=> Integer
resp.job_definitions[0].container_properties.command #=> Array
resp.job_definitions[0].container_properties.command[0] #=> String
resp.job_definitions[0].container_properties.job_role_arn #=> String
resp.job_definitions[0].container_properties.execution_role_arn #=> String
resp.job_definitions[0].container_properties.volumes #=> Array
resp.job_definitions[0].container_properties.volumes[0].host.source_path #=> String
resp.job_definitions[0].container_properties.volumes[0].name #=> String
resp.job_definitions[0].container_properties.volumes[0].efs_volume_configuration.file_system_id #=> String
resp.job_definitions[0].container_properties.volumes[0].efs_volume_configuration.root_directory #=> String
resp.job_definitions[0].container_properties.volumes[0].efs_volume_configuration.transit_encryption #=> String, one of "ENABLED", "DISABLED"
resp.job_definitions[0].container_properties.volumes[0].efs_volume_configuration.transit_encryption_port #=> Integer
resp.job_definitions[0].container_properties.volumes[0].efs_volume_configuration.authorization_config.access_point_id #=> String
resp.job_definitions[0].container_properties.volumes[0].efs_volume_configuration.authorization_config.iam #=> String, one of "ENABLED", "DISABLED"
resp.job_definitions[0].container_properties.environment #=> Array
resp.job_definitions[0].container_properties.environment[0].name #=> String
resp.job_definitions[0].container_properties.environment[0].value #=> String
resp.job_definitions[0].container_properties.mount_points #=> Array
resp.job_definitions[0].container_properties.mount_points[0].container_path #=> String
resp.job_definitions[0].container_properties.mount_points[0].read_only #=> Boolean
resp.job_definitions[0].container_properties.mount_points[0].source_volume #=> String
resp.job_definitions[0].container_properties.readonly_root_filesystem #=> Boolean
resp.job_definitions[0].container_properties.privileged #=> Boolean
resp.job_definitions[0].container_properties.ulimits #=> Array
resp.job_definitions[0].container_properties.ulimits[0].hard_limit #=> Integer
resp.job_definitions[0].container_properties.ulimits[0].name #=> String
resp.job_definitions[0].container_properties.ulimits[0].soft_limit #=> Integer
resp.job_definitions[0].container_properties.user #=> String
resp.job_definitions[0].container_properties.instance_type #=> String
resp.job_definitions[0].container_properties.resource_requirements #=> Array
resp.job_definitions[0].container_properties.resource_requirements[0].value #=> String
resp.job_definitions[0].container_properties.resource_requirements[0].type #=> String, one of "GPU", "VCPU", "MEMORY"
resp.job_definitions[0].container_properties.linux_parameters.devices #=> Array
resp.job_definitions[0].container_properties.linux_parameters.devices[0].host_path #=> String
resp.job_definitions[0].container_properties.linux_parameters.devices[0].container_path #=> String
resp.job_definitions[0].container_properties.linux_parameters.devices[0].permissions #=> Array
resp.job_definitions[0].container_properties.linux_parameters.devices[0].permissions[0] #=> String, one of "READ", "WRITE", "MKNOD"
resp.job_definitions[0].container_properties.linux_parameters.init_process_enabled #=> Boolean
resp.job_definitions[0].container_properties.linux_parameters.shared_memory_size #=> Integer
resp.job_definitions[0].container_properties.linux_parameters.tmpfs #=> Array
resp.job_definitions[0].container_properties.linux_parameters.tmpfs[0].container_path #=> String
resp.job_definitions[0].container_properties.linux_parameters.tmpfs[0].size #=> Integer
resp.job_definitions[0].container_properties.linux_parameters.tmpfs[0].mount_options #=> Array
resp.job_definitions[0].container_properties.linux_parameters.tmpfs[0].mount_options[0] #=> String
resp.job_definitions[0].container_properties.linux_parameters.max_swap #=> Integer
resp.job_definitions[0].container_properties.linux_parameters.swappiness #=> Integer
resp.job_definitions[0].container_properties.log_configuration.log_driver #=> String, one of "json-file", "syslog", "journald", "gelf", "fluentd", "awslogs", "splunk"
resp.job_definitions[0].container_properties.log_configuration.options #=> Hash
resp.job_definitions[0].container_properties.log_configuration.options["String"] #=> String
resp.job_definitions[0].container_properties.log_configuration.secret_options #=> Array
resp.job_definitions[0].container_properties.log_configuration.secret_options[0].name #=> String
resp.job_definitions[0].container_properties.log_configuration.secret_options[0].value_from #=> String
resp.job_definitions[0].container_properties.secrets #=> Array
resp.job_definitions[0].container_properties.secrets[0].name #=> String
resp.job_definitions[0].container_properties.secrets[0].value_from #=> String
resp.job_definitions[0].container_properties.network_configuration.assign_public_ip #=> String, one of "ENABLED", "DISABLED"
resp.job_definitions[0].container_properties.fargate_platform_configuration.platform_version #=> String
resp.job_definitions[0].timeout.attempt_duration_seconds #=> Integer
resp.job_definitions[0].node_properties.num_nodes #=> Integer
resp.job_definitions[0].node_properties.main_node #=> Integer
resp.job_definitions[0].node_properties.node_range_properties #=> Array
resp.job_definitions[0].node_properties.node_range_properties[0].target_nodes #=> String
resp.job_definitions[0].node_properties.node_range_properties[0].container.image #=> String
resp.job_definitions[0].node_properties.node_range_properties[0].container.vcpus #=> Integer
resp.job_definitions[0].node_properties.node_range_properties[0].container.memory #=> Integer
resp.job_definitions[0].node_properties.node_range_properties[0].container.command #=> Array
resp.job_definitions[0].node_properties.node_range_properties[0].container.command[0] #=> String
resp.job_definitions[0].node_properties.node_range_properties[0].container.job_role_arn #=> String
resp.job_definitions[0].node_properties.node_range_properties[0].container.execution_role_arn #=> String
resp.job_definitions[0].node_properties.node_range_properties[0].container.volumes #=> Array
resp.job_definitions[0].node_properties.node_range_properties[0].container.volumes[0].host.source_path #=> String
resp.job_definitions[0].node_properties.node_range_properties[0].container.volumes[0].name #=> String
resp.job_definitions[0].node_properties.node_range_properties[0].container.volumes[0].efs_volume_configuration.file_system_id #=> String
resp.job_definitions[0].node_properties.node_range_properties[0].container.volumes[0].efs_volume_configuration.root_directory #=> String
resp.job_definitions[0].node_properties.node_range_properties[0].container.volumes[0].efs_volume_configuration.transit_encryption #=> String, one of "ENABLED", "DISABLED"
resp.job_definitions[0].node_properties.node_range_properties[0].container.volumes[0].efs_volume_configuration.transit_encryption_port #=> Integer
resp.job_definitions[0].node_properties.node_range_properties[0].container.volumes[0].efs_volume_configuration.authorization_config.access_point_id #=> String
resp.job_definitions[0].node_properties.node_range_properties[0].container.volumes[0].efs_volume_configuration.authorization_config.iam #=> String, one of "ENABLED", "DISABLED"
resp.job_definitions[0].node_properties.node_range_properties[0].container.environment #=> Array
resp.job_definitions[0].node_properties.node_range_properties[0].container.environment[0].name #=> String
resp.job_definitions[0].node_properties.node_range_properties[0].container.environment[0].value #=> String
resp.job_definitions[0].node_properties.node_range_properties[0].container.mount_points #=> Array
resp.job_definitions[0].node_properties.node_range_properties[0].container.mount_points[0].container_path #=> String
resp.job_definitions[0].node_properties.node_range_properties[0].container.mount_points[0].read_only #=> Boolean
resp.job_definitions[0].node_properties.node_range_properties[0].container.mount_points[0].source_volume #=> String
resp.job_definitions[0].node_properties.node_range_properties[0].container.readonly_root_filesystem #=> Boolean
resp.job_definitions[0].node_properties.node_range_properties[0].container.privileged #=> Boolean
resp.job_definitions[0].node_properties.node_range_properties[0].container.ulimits #=> Array
resp.job_definitions[0].node_properties.node_range_properties[0].container.ulimits[0].hard_limit #=> Integer
resp.job_definitions[0].node_properties.node_range_properties[0].container.ulimits[0].name #=> String
resp.job_definitions[0].node_properties.node_range_properties[0].container.ulimits[0].soft_limit #=> Integer
resp.job_definitions[0].node_properties.node_range_properties[0].container.user #=> String
resp.job_definitions[0].node_properties.node_range_properties[0].container.instance_type #=> String
resp.job_definitions[0].node_properties.node_range_properties[0].container.resource_requirements #=> Array
resp.job_definitions[0].node_properties.node_range_properties[0].container.resource_requirements[0].value #=> String
resp.job_definitions[0].node_properties.node_range_properties[0].container.resource_requirements[0].type #=> String, one of "GPU", "VCPU", "MEMORY"
resp.job_definitions[0].node_properties.node_range_properties[0].container.linux_parameters.devices #=> Array
resp.job_definitions[0].node_properties.node_range_properties[0].container.linux_parameters.devices[0].host_path #=> String
resp.job_definitions[0].node_properties.node_range_properties[0].container.linux_parameters.devices[0].container_path #=> String
resp.job_definitions[0].node_properties.node_range_properties[0].container.linux_parameters.devices[0].permissions #=> Array
resp.job_definitions[0].node_properties.node_range_properties[0].container.linux_parameters.devices[0].permissions[0] #=> String, one of "READ", "WRITE", "MKNOD"
resp.job_definitions[0].node_properties.node_range_properties[0].container.linux_parameters.init_process_enabled #=> Boolean
resp.job_definitions[0].node_properties.node_range_properties[0].container.linux_parameters.shared_memory_size #=> Integer
resp.job_definitions[0].node_properties.node_range_properties[0].container.linux_parameters.tmpfs #=> Array
resp.job_definitions[0].node_properties.node_range_properties[0].container.linux_parameters.tmpfs[0].container_path #=> String
resp.job_definitions[0].node_properties.node_range_properties[0].container.linux_parameters.tmpfs[0].size #=> Integer
resp.job_definitions[0].node_properties.node_range_properties[0].container.linux_parameters.tmpfs[0].mount_options #=> Array
resp.job_definitions[0].node_properties.node_range_properties[0].container.linux_parameters.tmpfs[0].mount_options[0] #=> String
resp.job_definitions[0].node_properties.node_range_properties[0].container.linux_parameters.max_swap #=> Integer
resp.job_definitions[0].node_properties.node_range_properties[0].container.linux_parameters.swappiness #=> Integer
resp.job_definitions[0].node_properties.node_range_properties[0].container.log_configuration.log_driver #=> String, one of "json-file", "syslog", "journald", "gelf", "fluentd", "awslogs", "splunk"
resp.job_definitions[0].node_properties.node_range_properties[0].container.log_configuration.options #=> Hash
resp.job_definitions[0].node_properties.node_range_properties[0].container.log_configuration.options["String"] #=> String
resp.job_definitions[0].node_properties.node_range_properties[0].container.log_configuration.secret_options #=> Array
resp.job_definitions[0].node_properties.node_range_properties[0].container.log_configuration.secret_options[0].name #=> String
resp.job_definitions[0].node_properties.node_range_properties[0].container.log_configuration.secret_options[0].value_from #=> String
resp.job_definitions[0].node_properties.node_range_properties[0].container.secrets #=> Array
resp.job_definitions[0].node_properties.node_range_properties[0].container.secrets[0].name #=> String
resp.job_definitions[0].node_properties.node_range_properties[0].container.secrets[0].value_from #=> String
resp.job_definitions[0].node_properties.node_range_properties[0].container.network_configuration.assign_public_ip #=> String, one of "ENABLED", "DISABLED"
resp.job_definitions[0].node_properties.node_range_properties[0].container.fargate_platform_configuration.platform_version #=> String
resp.job_definitions[0].tags #=> Hash
resp.job_definitions[0].tags["TagKey"] #=> String
resp.job_definitions[0].propagate_tags #=> Boolean
resp.job_definitions[0].platform_capabilities #=> Array
resp.job_definitions[0].platform_capabilities[0] #=> String, one of "EC2", "FARGATE"
resp.next_token #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :job_definitions (Array<String>) —

    A list of up to 100 job definition names or full Amazon Resource Name (ARN) entries.

  • :max_results (Integer) —

    The maximum number of results returned by DescribeJobDefinitions in paginated output. When this parameter is used, DescribeJobDefinitions only returns maxResults results in a single page and a nextToken response element. The remaining results of the initial request can be seen by sending another DescribeJobDefinitions request with the returned nextToken value. This value can be between 1 and 100. If this parameter isn't used, then DescribeJobDefinitions returns up to 100 results and a nextToken value if applicable.

  • :job_definition_name (String) —

    The name of the job definition to describe.

  • :status (String) —

    The status used to filter job definitions.

  • :next_token (String) —

    The nextToken value returned from a previous paginated DescribeJobDefinitions request where maxResults was used and the results exceeded the value of that parameter. Pagination continues from the end of the previous results that returned the nextToken value. This value is null when there are no more results to return.

    This token should be treated as an opaque identifier that's only used to retrieve the next items in a list and not for other programmatic purposes.

Returns:

See Also:



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# File 'gems/aws-sdk-batch/lib/aws-sdk-batch/client.rb', line 1326

def describe_job_definitions(params = {}, options = {})
  req = build_request(:describe_job_definitions, params)
  req.send_request(options)
end

#describe_job_queues(params = {}) ⇒ Types::DescribeJobQueuesResponse

Describes one or more of your job queues.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Example: To describe a job queue


# This example describes the HighPriority job queue.

resp = client.describe_job_queues({
  job_queues: [
    "HighPriority", 
  ], 
})

resp.to_h outputs the following:
{
  job_queues: [
    {
      compute_environment_order: [
        {
          compute_environment: "arn:aws:batch:us-east-1:012345678910:compute-environment/C4OnDemand", 
          order: 1, 
        }, 
      ], 
      job_queue_arn: "arn:aws:batch:us-east-1:012345678910:job-queue/HighPriority", 
      job_queue_name: "HighPriority", 
      priority: 1, 
      state: "ENABLED", 
      status: "VALID", 
      status_reason: "JobQueue Healthy", 
    }, 
  ], 
}

Request syntax with placeholder values


resp = client.describe_job_queues({
  job_queues: ["String"],
  max_results: 1,
  next_token: "String",
})

Response structure


resp.job_queues #=> Array
resp.job_queues[0].job_queue_name #=> String
resp.job_queues[0].job_queue_arn #=> String
resp.job_queues[0].state #=> String, one of "ENABLED", "DISABLED"
resp.job_queues[0].status #=> String, one of "CREATING", "UPDATING", "DELETING", "DELETED", "VALID", "INVALID"
resp.job_queues[0].status_reason #=> String
resp.job_queues[0].priority #=> Integer
resp.job_queues[0].compute_environment_order #=> Array
resp.job_queues[0].compute_environment_order[0].order #=> Integer
resp.job_queues[0].compute_environment_order[0].compute_environment #=> String
resp.job_queues[0].tags #=> Hash
resp.job_queues[0].tags["TagKey"] #=> String
resp.next_token #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :job_queues (Array<String>) —

    A list of up to 100 queue names or full queue Amazon Resource Name (ARN) entries.

  • :max_results (Integer) —

    The maximum number of results returned by DescribeJobQueues in paginated output. When this parameter is used, DescribeJobQueues only returns maxResults results in a single page and a nextToken response element. The remaining results of the initial request can be seen by sending another DescribeJobQueues request with the returned nextToken value. This value can be between 1 and 100. If this parameter isn't used, then DescribeJobQueues returns up to 100 results and a nextToken value if applicable.

  • :next_token (String) —

    The nextToken value returned from a previous paginated DescribeJobQueues request where maxResults was used and the results exceeded the value of that parameter. Pagination continues from the end of the previous results that returned the nextToken value. This value is null when there are no more results to return.

    This token should be treated as an opaque identifier that's only used to retrieve the next items in a list and not for other programmatic purposes.

Returns:

See Also:



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# File 'gems/aws-sdk-batch/lib/aws-sdk-batch/client.rb', line 1426

def describe_job_queues(params = {}, options = {})
  req = build_request(:describe_job_queues, params)
  req.send_request(options)
end

#describe_jobs(params = {}) ⇒ Types::DescribeJobsResponse

Describes a list of AWS Batch jobs.

Examples:

Example: To describe a specific job


# This example describes a job with the specified job ID.

resp = client.describe_jobs({
  jobs: [
    "24fa2d7a-64c4-49d2-8b47-f8da4fbde8e9", 
  ], 
})

resp.to_h outputs the following:
{
  jobs: [
    {
      container: {
        command: [
          "sleep", 
          "60", 
        ], 
        container_instance_arn: "arn:aws:ecs:us-east-1:012345678910:container-instance/5406d7cd-58bd-4b8f-9936-48d7c6b1526c", 
        environment: [
        ], 
        exit_code: 0, 
        image: "busybox", 
        memory: 128, 
        mount_points: [
        ], 
        ulimits: [
        ], 
        vcpus: 1, 
        volumes: [
        ], 
      }, 
      created_at: 1480460782010, 
      depends_on: [
      ], 
      job_definition: "sleep60", 
      job_id: "24fa2d7a-64c4-49d2-8b47-f8da4fbde8e9", 
      job_name: "example", 
      job_queue: "arn:aws:batch:us-east-1:012345678910:job-queue/HighPriority", 
      parameters: {
      }, 
      started_at: 1480460816500, 
      status: "SUCCEEDED", 
      stopped_at: 1480460880699, 
    }, 
  ], 
}

Request syntax with placeholder values


resp = client.describe_jobs({
  jobs: ["String"], # required
})

Response structure


resp.jobs #=> Array
resp.jobs[0].job_arn #=> String
resp.jobs[0].job_name #=> String
resp.jobs[0].job_id #=> String
resp.jobs[0].job_queue #=> String
resp.jobs[0].status #=> String, one of "SUBMITTED", "PENDING", "RUNNABLE", "STARTING", "RUNNING", "SUCCEEDED", "FAILED"
resp.jobs[0].attempts #=> Array
resp.jobs[0].attempts[0].container.container_instance_arn #=> String
resp.jobs[0].attempts[0].container.task_arn #=> String
resp.jobs[0].attempts[0].container.exit_code #=> Integer
resp.jobs[0].attempts[0].container.reason #=> String
resp.jobs[0].attempts[0].container.log_stream_name #=> String
resp.jobs[0].attempts[0].container.network_interfaces #=> Array
resp.jobs[0].attempts[0].container.network_interfaces[0].attachment_id #=> String
resp.jobs[0].attempts[0].container.network_interfaces[0].ipv6_address #=> String
resp.jobs[0].attempts[0].container.network_interfaces[0].private_ipv_4_address #=> String
resp.jobs[0].attempts[0].started_at #=> Integer
resp.jobs[0].attempts[0].stopped_at #=> Integer
resp.jobs[0].attempts[0].status_reason #=> String
resp.jobs[0].status_reason #=> String
resp.jobs[0].created_at #=> Integer
resp.jobs[0].retry_strategy.attempts #=> Integer
resp.jobs[0].retry_strategy.evaluate_on_exit #=> Array
resp.jobs[0].retry_strategy.evaluate_on_exit[0].on_status_reason #=> String
resp.jobs[0].retry_strategy.evaluate_on_exit[0].on_reason #=> String
resp.jobs[0].retry_strategy.evaluate_on_exit[0].on_exit_code #=> String
resp.jobs[0].retry_strategy.evaluate_on_exit[0].action #=> String, one of "RETRY", "EXIT"
resp.jobs[0].started_at #=> Integer
resp.jobs[0].stopped_at #=> Integer
resp.jobs[0].depends_on #=> Array
resp.jobs[0].depends_on[0].job_id #=> String
resp.jobs[0].depends_on[0].type #=> String, one of "N_TO_N", "SEQUENTIAL"
resp.jobs[0].job_definition #=> String
resp.jobs[0].parameters #=> Hash
resp.jobs[0].parameters["String"] #=> String
resp.jobs[0].container.image #=> String
resp.jobs[0].container.vcpus #=> Integer
resp.jobs[0].container.memory #=> Integer
resp.jobs[0].container.command #=> Array
resp.jobs[0].container.command[0] #=> String
resp.jobs[0].container.job_role_arn #=> String
resp.jobs[0].container.execution_role_arn #=> String
resp.jobs[0].container.volumes #=> Array
resp.jobs[0].container.volumes[0].host.source_path #=> String
resp.jobs[0].container.volumes[0].name #=> String
resp.jobs[0].container.volumes[0].efs_volume_configuration.file_system_id #=> String
resp.jobs[0].container.volumes[0].efs_volume_configuration.root_directory #=> String
resp.jobs[0].container.volumes[0].efs_volume_configuration.transit_encryption #=> String, one of "ENABLED", "DISABLED"
resp.jobs[0].container.volumes[0].efs_volume_configuration.transit_encryption_port #=> Integer
resp.jobs[0].container.volumes[0].efs_volume_configuration.authorization_config.access_point_id #=> String
resp.jobs[0].container.volumes[0].efs_volume_configuration.authorization_config.iam #=> String, one of "ENABLED", "DISABLED"
resp.jobs[0].container.environment #=> Array
resp.jobs[0].container.environment[0].name #=> String
resp.jobs[0].container.environment[0].value #=> String
resp.jobs[0].container.mount_points #=> Array
resp.jobs[0].container.mount_points[0].container_path #=> String
resp.jobs[0].container.mount_points[0].read_only #=> Boolean
resp.jobs[0].container.mount_points[0].source_volume #=> String
resp.jobs[0].container.readonly_root_filesystem #=> Boolean
resp.jobs[0].container.ulimits #=> Array
resp.jobs[0].container.ulimits[0].hard_limit #=> Integer
resp.jobs[0].container.ulimits[0].name #=> String
resp.jobs[0].container.ulimits[0].soft_limit #=> Integer
resp.jobs[0].container.privileged #=> Boolean
resp.jobs[0].container.user #=> String
resp.jobs[0].container.exit_code #=> Integer
resp.jobs[0].container.reason #=> String
resp.jobs[0].container.container_instance_arn #=> String
resp.jobs[0].container.task_arn #=> String
resp.jobs[0].container.log_stream_name #=> String
resp.jobs[0].container.instance_type #=> String
resp.jobs[0].container.network_interfaces #=> Array
resp.jobs[0].container.network_interfaces[0].attachment_id #=> String
resp.jobs[0].container.network_interfaces[0].ipv6_address #=> String
resp.jobs[0].container.network_interfaces[0].private_ipv_4_address #=> String
resp.jobs[0].container.resource_requirements #=> Array
resp.jobs[0].container.resource_requirements[0].value #=> String
resp.jobs[0].container.resource_requirements[0].type #=> String, one of "GPU", "VCPU", "MEMORY"
resp.jobs[0].container.linux_parameters.devices #=> Array
resp.jobs[0].container.linux_parameters.devices[0].host_path #=> String
resp.jobs[0].container.linux_parameters.devices[0].container_path #=> String
resp.jobs[0].container.linux_parameters.devices[0].permissions #=> Array
resp.jobs[0].container.linux_parameters.devices[0].permissions[0] #=> String, one of "READ", "WRITE", "MKNOD"
resp.jobs[0].container.linux_parameters.init_process_enabled #=> Boolean
resp.jobs[0].container.linux_parameters.shared_memory_size #=> Integer
resp.jobs[0].container.linux_parameters.tmpfs #=> Array
resp.jobs[0].container.linux_parameters.tmpfs[0].container_path #=> String
resp.jobs[0].container.linux_parameters.tmpfs[0].size #=> Integer
resp.jobs[0].container.linux_parameters.tmpfs[0].mount_options #=> Array
resp.jobs[0].container.linux_parameters.tmpfs[0].mount_options[0] #=> String
resp.jobs[0].container.linux_parameters.max_swap #=> Integer
resp.jobs[0].container.linux_parameters.swappiness #=> Integer
resp.jobs[0].container.log_configuration.log_driver #=> String, one of "json-file", "syslog", "journald", "gelf", "fluentd", "awslogs", "splunk"
resp.jobs[0].container.log_configuration.options #=> Hash
resp.jobs[0].container.log_configuration.options["String"] #=> String
resp.jobs[0].container.log_configuration.secret_options #=> Array
resp.jobs[0].container.log_configuration.secret_options[0].name #=> String
resp.jobs[0].container.log_configuration.secret_options[0].value_from #=> String
resp.jobs[0].container.secrets #=> Array
resp.jobs[0].container.secrets[0].name #=> String
resp.jobs[0].container.secrets[0].value_from #=> String
resp.jobs[0].container.network_configuration.assign_public_ip #=> String, one of "ENABLED", "DISABLED"
resp.jobs[0].container.fargate_platform_configuration.platform_version #=> String
resp.jobs[0].node_details.node_index #=> Integer
resp.jobs[0].node_details.is_main_node #=> Boolean
resp.jobs[0].node_properties.num_nodes #=> Integer
resp.jobs[0].node_properties.main_node #=> Integer
resp.jobs[0].node_properties.node_range_properties #=> Array
resp.jobs[0].node_properties.node_range_properties[0].target_nodes #=> String
resp.jobs[0].node_properties.node_range_properties[0].container.image #=> String
resp.jobs[0].node_properties.node_range_properties[0].container.vcpus #=> Integer
resp.jobs[0].node_properties.node_range_properties[0].container.memory #=> Integer
resp.jobs[0].node_properties.node_range_properties[0].container.command #=> Array
resp.jobs[0].node_properties.node_range_properties[0].container.command[0] #=> String
resp.jobs[0].node_properties.node_range_properties[0].container.job_role_arn #=> String
resp.jobs[0].node_properties.node_range_properties[0].container.execution_role_arn #=> String
resp.jobs[0].node_properties.node_range_properties[0].container.volumes #=> Array
resp.jobs[0].node_properties.node_range_properties[0].container.volumes[0].host.source_path #=> String
resp.jobs[0].node_properties.node_range_properties[0].container.volumes[0].name #=> String
resp.jobs[0].node_properties.node_range_properties[0].container.volumes[0].efs_volume_configuration.file_system_id #=> String
resp.jobs[0].node_properties.node_range_properties[0].container.volumes[0].efs_volume_configuration.root_directory #=> String
resp.jobs[0].node_properties.node_range_properties[0].container.volumes[0].efs_volume_configuration.transit_encryption #=> String, one of "ENABLED", "DISABLED"
resp.jobs[0].node_properties.node_range_properties[0].container.volumes[0].efs_volume_configuration.transit_encryption_port #=> Integer
resp.jobs[0].node_properties.node_range_properties[0].container.volumes[0].efs_volume_configuration.authorization_config.access_point_id #=> String
resp.jobs[0].node_properties.node_range_properties[0].container.volumes[0].efs_volume_configuration.authorization_config.iam #=> String, one of "ENABLED", "DISABLED"
resp.jobs[0].node_properties.node_range_properties[0].container.environment #=> Array
resp.jobs[0].node_properties.node_range_properties[0].container.environment[0].name #=> String
resp.jobs[0].node_properties.node_range_properties[0].container.environment[0].value #=> String
resp.jobs[0].node_properties.node_range_properties[0].container.mount_points #=> Array
resp.jobs[0].node_properties.node_range_properties[0].container.mount_points[0].container_path #=> String
resp.jobs[0].node_properties.node_range_properties[0].container.mount_points[0].read_only #=> Boolean
resp.jobs[0].node_properties.node_range_properties[0].container.mount_points[0].source_volume #=> String
resp.jobs[0].node_properties.node_range_properties[0].container.readonly_root_filesystem #=> Boolean
resp.jobs[0].node_properties.node_range_properties[0].container.privileged #=> Boolean
resp.jobs[0].node_properties.node_range_properties[0].container.ulimits #=> Array
resp.jobs[0].node_properties.node_range_properties[0].container.ulimits[0].hard_limit #=> Integer
resp.jobs[0].node_properties.node_range_properties[0].container.ulimits[0].name #=> String
resp.jobs[0].node_properties.node_range_properties[0].container.ulimits[0].soft_limit #=> Integer
resp.jobs[0].node_properties.node_range_properties[0].container.user #=> String
resp.jobs[0].node_properties.node_range_properties[0].container.instance_type #=> String
resp.jobs[0].node_properties.node_range_properties[0].container.resource_requirements #=> Array
resp.jobs[0].node_properties.node_range_properties[0].container.resource_requirements[0].value #=> String
resp.jobs[0].node_properties.node_range_properties[0].container.resource_requirements[0].type #=> String, one of "GPU", "VCPU", "MEMORY"
resp.jobs[0].node_properties.node_range_properties[0].container.linux_parameters.devices #=> Array
resp.jobs[0].node_properties.node_range_properties[0].container.linux_parameters.devices[0].host_path #=> String
resp.jobs[0].node_properties.node_range_properties[0].container.linux_parameters.devices[0].container_path #=> String
resp.jobs[0].node_properties.node_range_properties[0].container.linux_parameters.devices[0].permissions #=> Array
resp.jobs[0].node_properties.node_range_properties[0].container.linux_parameters.devices[0].permissions[0] #=> String, one of "READ", "WRITE", "MKNOD"
resp.jobs[0].node_properties.node_range_properties[0].container.linux_parameters.init_process_enabled #=> Boolean
resp.jobs[0].node_properties.node_range_properties[0].container.linux_parameters.shared_memory_size #=> Integer
resp.jobs[0].node_properties.node_range_properties[0].container.linux_parameters.tmpfs #=> Array
resp.jobs[0].node_properties.node_range_properties[0].container.linux_parameters.tmpfs[0].container_path #=> String
resp.jobs[0].node_properties.node_range_properties[0].container.linux_parameters.tmpfs[0].size #=> Integer
resp.jobs[0].node_properties.node_range_properties[0].container.linux_parameters.tmpfs[0].mount_options #=> Array
resp.jobs[0].node_properties.node_range_properties[0].container.linux_parameters.tmpfs[0].mount_options[0] #=> String
resp.jobs[0].node_properties.node_range_properties[0].container.linux_parameters.max_swap #=> Integer
resp.jobs[0].node_properties.node_range_properties[0].container.linux_parameters.swappiness #=> Integer
resp.jobs[0].node_properties.node_range_properties[0].container.log_configuration.log_driver #=> String, one of "json-file", "syslog", "journald", "gelf", "fluentd", "awslogs", "splunk"
resp.jobs[0].node_properties.node_range_properties[0].container.log_configuration.options #=> Hash
resp.jobs[0].node_properties.node_range_properties[0].container.log_configuration.options["String"] #=> String
resp.jobs[0].node_properties.node_range_properties[0].container.log_configuration.secret_options #=> Array
resp.jobs[0].node_properties.node_range_properties[0].container.log_configuration.secret_options[0].name #=> String
resp.jobs[0].node_properties.node_range_properties[0].container.log_configuration.secret_options[0].value_from #=> String
resp.jobs[0].node_properties.node_range_properties[0].container.secrets #=> Array
resp.jobs[0].node_properties.node_range_properties[0].container.secrets[0].name #=> String
resp.jobs[0].node_properties.node_range_properties[0].container.secrets[0].value_from #=> String
resp.jobs[0].node_properties.node_range_properties[0].container.network_configuration.assign_public_ip #=> String, one of "ENABLED", "DISABLED"
resp.jobs[0].node_properties.node_range_properties[0].container.fargate_platform_configuration.platform_version #=> String
resp.jobs[0].array_properties.status_summary #=> Hash
resp.jobs[0].array_properties.status_summary["String"] #=> Integer
resp.jobs[0].array_properties.size #=> Integer
resp.jobs[0].array_properties.index #=> Integer
resp.jobs[0].timeout.attempt_duration_seconds #=> Integer
resp.jobs[0].tags #=> Hash
resp.jobs[0].tags["TagKey"] #=> String
resp.jobs[0].propagate_tags #=> Boolean
resp.jobs[0].platform_capabilities #=> Array
resp.jobs[0].platform_capabilities[0] #=> String, one of "EC2", "FARGATE"

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :jobs (required, Array<String>) —

    A list of up to 100 job IDs.

Returns:

See Also:



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# File 'gems/aws-sdk-batch/lib/aws-sdk-batch/client.rb', line 1681

def describe_jobs(params = {}, options = {})
  req = build_request(:describe_jobs, params)
  req.send_request(options)
end

#list_jobs(params = {}) ⇒ Types::ListJobsResponse

Returns a list of AWS Batch jobs.

You must specify only one of the following items:

  • A job queue ID to return a list of jobs in that job queue

  • A multi-node parallel job ID to return a list of nodes for that job

  • An array job ID to return a list of the children for that job

You can filter the results by job status with the jobStatus parameter. If you don't specify a status, only RUNNING jobs are returned.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Example: To list running jobs


# This example lists the running jobs in the HighPriority job queue.

resp = client.list_jobs({
  job_queue: "HighPriority", 
})

resp.to_h outputs the following:
{
  job_summary_list: [
    {
      job_id: "e66ff5fd-a1ff-4640-b1a2-0b0a142f49bb", 
      job_name: "example", 
    }, 
  ], 
}

Example: To list submitted jobs


# This example lists jobs in the HighPriority job queue that are in the SUBMITTED job status.

resp = client.list_jobs({
  job_queue: "HighPriority", 
  job_status: "SUBMITTED", 
})

resp.to_h outputs the following:
{
  job_summary_list: [
    {
      job_id: "68f0c163-fbd4-44e6-9fd1-25b14a434786", 
      job_name: "example", 
    }, 
  ], 
}

Request syntax with placeholder values


resp = client.list_jobs({
  job_queue: "String",
  array_job_id: "String",
  multi_node_job_id: "String",
  job_status: "SUBMITTED", # accepts SUBMITTED, PENDING, RUNNABLE, STARTING, RUNNING, SUCCEEDED, FAILED
  max_results: 1,
  next_token: "String",
})

Response structure


resp.job_summary_list #=> Array
resp.job_summary_list[0].job_arn #=> String
resp.job_summary_list[0].job_id #=> String
resp.job_summary_list[0].job_name #=> String
resp.job_summary_list[0].created_at #=> Integer
resp.job_summary_list[0].status #=> String, one of "SUBMITTED", "PENDING", "RUNNABLE", "STARTING", "RUNNING", "SUCCEEDED", "FAILED"
resp.job_summary_list[0].status_reason #=> String
resp.job_summary_list[0].started_at #=> Integer
resp.job_summary_list[0].stopped_at #=> Integer
resp.job_summary_list[0].container.exit_code #=> Integer
resp.job_summary_list[0].container.reason #=> String
resp.job_summary_list[0].array_properties.size #=> Integer
resp.job_summary_list[0].array_properties.index #=> Integer
resp.job_summary_list[0].node_properties.is_main_node #=> Boolean
resp.job_summary_list[0].node_properties.num_nodes #=> Integer
resp.job_summary_list[0].node_properties.node_index #=> Integer
resp.next_token #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :job_queue (String) —

    The name or full Amazon Resource Name (ARN) of the job queue used to list jobs.

  • :array_job_id (String) —

    The job ID for an array job. Specifying an array job ID with this parameter lists all child jobs from within the specified array.

  • :multi_node_job_id (String) —

    The job ID for a multi-node parallel job. Specifying a multi-node parallel job ID with this parameter lists all nodes that are associated with the specified job.

  • :job_status (String) —

    The job status used to filter jobs in the specified queue. If you don't specify a status, only RUNNING jobs are returned.

  • :max_results (Integer) —

    The maximum number of results returned by ListJobs in paginated output. When this parameter is used, ListJobs only returns maxResults results in a single page and a nextToken response element. The remaining results of the initial request can be seen by sending another ListJobs request with the returned nextToken value. This value can be between 1 and 100. If this parameter isn't used, then ListJobs returns up to 100 results and a nextToken value if applicable.

  • :next_token (String) —

    The nextToken value returned from a previous paginated ListJobs request where maxResults was used and the results exceeded the value of that parameter. Pagination continues from the end of the previous results that returned the nextToken value. This value is null when there are no more results to return.

    This token should be treated as an opaque identifier that's only used to retrieve the next items in a list and not for other programmatic purposes.

Returns:

See Also:



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# File 'gems/aws-sdk-batch/lib/aws-sdk-batch/client.rb', line 1820

def list_jobs(params = {}, options = {})
  req = build_request(:list_jobs, params)
  req.send_request(options)
end

#list_tags_for_resource(params = {}) ⇒ Types::ListTagsForResourceResponse

Lists the tags for an AWS Batch resource. AWS Batch resources that support tags are compute environments, jobs, job definitions, and job queues. ARNs for child jobs of array and multi-node parallel (MNP) jobs are not supported.

Examples:

Example: ListTagsForResource Example


# This demonstrates calling the ListTagsForResource action.

resp = client.list_tags_for_resource({
  resource_arn: "arn:aws:batch:us-east-1:123456789012:job-definition/sleep30:1", 
})

resp.to_h outputs the following:
{
  tags: {
    "Department" => "Engineering", 
    "Stage" => "Alpha", 
    "User" => "JaneDoe", 
  }, 
}

Request syntax with placeholder values


resp = client.list_tags_for_resource({
  resource_arn: "String", # required
})

Response structure


resp.tags #=> Hash
resp.tags["TagKey"] #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :resource_arn (required, String) —

    The Amazon Resource Name (ARN) that identifies the resource that tags are listed for. AWS Batch resources that support tags are compute environments, jobs, job definitions, and job queues. ARNs for child jobs of array and multi-node parallel (MNP) jobs are not supported.

Returns:

See Also:



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# File 'gems/aws-sdk-batch/lib/aws-sdk-batch/client.rb', line 1873

def list_tags_for_resource(params = {}, options = {})
  req = build_request(:list_tags_for_resource, params)
  req.send_request(options)
end

#register_job_definition(params = {}) ⇒ Types::RegisterJobDefinitionResponse

Registers an AWS Batch job definition.

Examples:

Example: To register a job definition


# This example registers a job definition for a simple container job.

resp = client.register_job_definition({
  type: "container", 
  container_properties: {
    command: [
      "sleep", 
      "10", 
    ], 
    image: "busybox", 
    memory: 128, 
    vcpus: 1, 
  }, 
  job_definition_name: "sleep10", 
})

resp.to_h outputs the following:
{
  job_definition_arn: "arn:aws:batch:us-east-1:012345678910:job-definition/sleep10:1", 
  job_definition_name: "sleep10", 
  revision: 1, 
}

Example: RegisterJobDefinition with tags


# This demonstrates calling the RegisterJobDefinition action, including tags.

resp = client.register_job_definition({
  type: "container", 
  container_properties: {
    command: [
      "sleep", 
      "30", 
    ], 
    image: "busybox", 
    memory: 128, 
    vcpus: 1, 
  }, 
  job_definition_name: "sleep30", 
  tags: {
    "Department" => "Engineering", 
    "User" => "JaneDoe", 
  }, 
})

resp.to_h outputs the following:
{
  job_definition_arn: "arn:aws:batch:us-east-1:012345678910:job-definition/sleep30:1", 
  job_definition_name: "sleep30", 
  revision: 1, 
}

Request syntax with placeholder values


resp = client.register_job_definition({
  job_definition_name: "String", # required
  type: "container", # required, accepts container, multinode
  parameters: {
    "String" => "String",
  },
  container_properties: {
    image: "String",
    vcpus: 1,
    memory: 1,
    command: ["String"],
    job_role_arn: "String",
    execution_role_arn: "String",
    volumes: [
      {
        host: {
          source_path: "String",
        },
        name: "String",
        efs_volume_configuration: {
          file_system_id: "String", # required
          root_directory: "String",
          transit_encryption: "ENABLED", # accepts ENABLED, DISABLED
          transit_encryption_port: 1,
          authorization_config: {
            access_point_id: "String",
            iam: "ENABLED", # accepts ENABLED, DISABLED
          },
        },
      },
    ],
    environment: [
      {
        name: "String",
        value: "String",
      },
    ],
    mount_points: [
      {
        container_path: "String",
        read_only: false,
        source_volume: "String",
      },
    ],
    readonly_root_filesystem: false,
    privileged: false,
    ulimits: [
      {
        hard_limit: 1, # required
        name: "String", # required
        soft_limit: 1, # required
      },
    ],
    user: "String",
    instance_type: "String",
    resource_requirements: [
      {
        value: "String", # required
        type: "GPU", # required, accepts GPU, VCPU, MEMORY
      },
    ],
    linux_parameters: {
      devices: [
        {
          host_path: "String", # required
          container_path: "String",
          permissions: ["READ"], # accepts READ, WRITE, MKNOD
        },
      ],
      init_process_enabled: false,
      shared_memory_size: 1,
      tmpfs: [
        {
          container_path: "String", # required
          size: 1, # required
          mount_options: ["String"],
        },
      ],
      max_swap: 1,
      swappiness: 1,
    },
    log_configuration: {
      log_driver: "json-file", # required, accepts json-file, syslog, journald, gelf, fluentd, awslogs, splunk
      options: {
        "String" => "String",
      },
      secret_options: [
        {
          name: "String", # required
          value_from: "String", # required
        },
      ],
    },
    secrets: [
      {
        name: "String", # required
        value_from: "String", # required
      },
    ],
    network_configuration: {
      assign_public_ip: "ENABLED", # accepts ENABLED, DISABLED
    },
    fargate_platform_configuration: {
      platform_version: "String",
    },
  },
  node_properties: {
    num_nodes: 1, # required
    main_node: 1, # required
    node_range_properties: [ # required
      {
        target_nodes: "String", # required
        container: {
          image: "String",
          vcpus: 1,
          memory: 1,
          command: ["String"],
          job_role_arn: "String",
          execution_role_arn: "String",
          volumes: [
            {
              host: {
                source_path: "String",
              },
              name: "String",
              efs_volume_configuration: {
                file_system_id: "String", # required
                root_directory: "String",
                transit_encryption: "ENABLED", # accepts ENABLED, DISABLED
                transit_encryption_port: 1,
                authorization_config: {
                  access_point_id: "String",
                  iam: "ENABLED", # accepts ENABLED, DISABLED
                },
              },
            },
          ],
          environment: [
            {
              name: "String",
              value: "String",
            },
          ],
          mount_points: [
            {
              container_path: "String",
              read_only: false,
              source_volume: "String",
            },
          ],
          readonly_root_filesystem: false,
          privileged: false,
          ulimits: [
            {
              hard_limit: 1, # required
              name: "String", # required
              soft_limit: 1, # required
            },
          ],
          user: "String",
          instance_type: "String",
          resource_requirements: [
            {
              value: "String", # required
              type: "GPU", # required, accepts GPU, VCPU, MEMORY
            },
          ],
          linux_parameters: {
            devices: [
              {
                host_path: "String", # required
                container_path: "String",
                permissions: ["READ"], # accepts READ, WRITE, MKNOD
              },
            ],
            init_process_enabled: false,
            shared_memory_size: 1,
            tmpfs: [
              {
                container_path: "String", # required
                size: 1, # required
                mount_options: ["String"],
              },
            ],
            max_swap: 1,
            swappiness: 1,
          },
          log_configuration: {
            log_driver: "json-file", # required, accepts json-file, syslog, journald, gelf, fluentd, awslogs, splunk
            options: {
              "String" => "String",
            },
            secret_options: [
              {
                name: "String", # required
                value_from: "String", # required
              },
            ],
          },
          secrets: [
            {
              name: "String", # required
              value_from: "String", # required
            },
          ],
          network_configuration: {
            assign_public_ip: "ENABLED", # accepts ENABLED, DISABLED
          },
          fargate_platform_configuration: {
            platform_version: "String",
          },
        },
      },
    ],
  },
  retry_strategy: {
    attempts: 1,
    evaluate_on_exit: [
      {
        on_status_reason: "String",
        on_reason: "String",
        on_exit_code: "String",
        action: "RETRY", # required, accepts RETRY, EXIT
      },
    ],
  },
  propagate_tags: false,
  timeout: {
    attempt_duration_seconds: 1,
  },
  tags: {
    "TagKey" => "TagValue",
  },
  platform_capabilities: ["EC2"], # accepts EC2, FARGATE
})

Response structure


resp.job_definition_name #=> String
resp.job_definition_arn #=> String
resp.revision #=> Integer

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :job_definition_name (required, String) —

    The name of the job definition to register. Up to 128 letters (uppercase and lowercase), numbers, hyphens, and underscores are allowed.

  • :type (required, String) —

    The type of job definition. For more information about multi-node parallel jobs, see Creating a multi-node parallel job definition in the AWS Batch User Guide.

    If the job is run on Fargate resources, then multinode isn't supported.

  • :parameters (Hash<String,String>) —

    Default parameter substitution placeholders to set in the job definition. Parameters are specified as a key-value pair mapping. Parameters in a SubmitJob request override any corresponding parameter defaults from the job definition.

  • :container_properties (Types::ContainerProperties) —

    An object with various properties specific to single-node container-based jobs. If the job definition's type parameter is container, then you must specify either containerProperties or nodeProperties.

    If the job runs on Fargate resources, then you must not specify nodeProperties; use only containerProperties.

  • :node_properties (Types::NodeProperties) —

    An object with various properties specific to multi-node parallel jobs. If you specify node properties for a job, it becomes a multi-node parallel job. For more information, see Multi-node Parallel Jobs in the AWS Batch User Guide. If the job definition's type parameter is container, then you must specify either containerProperties or nodeProperties.

    If the job runs on Fargate resources, then you must not specify nodeProperties; use containerProperties instead.

  • :retry_strategy (Types::RetryStrategy) —

    The retry strategy to use for failed jobs that are submitted with this job definition. Any retry strategy that's specified during a SubmitJob operation overrides the retry strategy defined here. If a job is terminated due to a timeout, it isn't retried.

  • :propagate_tags (Boolean) —

    Specifies whether to propagate the tags from the job or job definition to the corresponding Amazon ECS task. If no value is specified, the tags are not propagated. Tags can only be propagated to the tasks during task creation. For tags with the same name, job tags are given priority over job definitions tags. If the total number of combined tags from the job and job definition is over 50, the job is moved to the FAILED state.

  • :timeout (Types::JobTimeout) —

    The timeout configuration for jobs that are submitted with this job definition, after which AWS Batch terminates your jobs if they have not finished. If a job is terminated due to a timeout, it isn't retried. The minimum value for the timeout is 60 seconds. Any timeout configuration that's specified during a SubmitJob operation overrides the timeout configuration defined here. For more information, see Job Timeouts in the AWS Batch User Guide.

  • :tags (Hash<String,String>) —

    The tags that you apply to the job definition to help you categorize and organize your resources. Each tag consists of a key and an optional value. For more information, see Tagging AWS Resources in AWS Batch User Guide.

  • :platform_capabilities (Array<String>) —

    The platform capabilities required by the job definition. If no value is specified, it defaults to EC2. To run the job on Fargate resources, specify FARGATE.

Returns:

See Also:



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# File 'gems/aws-sdk-batch/lib/aws-sdk-batch/client.rb', line 2285

def register_job_definition(params = {}, options = {})
  req = build_request(:register_job_definition, params)
  req.send_request(options)
end

#submit_job(params = {}) ⇒ Types::SubmitJobResponse

Submits an AWS 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 ResourceRequirements objects in the job definition are the exception. They can't be overridden this way using the memory and vcpus parameters. Rather, you must specify updates to job definition parameters in a ResourceRequirements object that's included in the containerOverrides parameter.

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.

Examples:

Example: To submit a job to a queue


# This example submits a simple container job called example to the HighPriority job queue.

resp = client.submit_job({
  job_definition: "sleep60", 
  job_name: "example", 
  job_queue: "HighPriority", 
})

resp.to_h outputs the following:
{
  job_id: "876da822-4198-45f2-a252-6cea32512ea8", 
  job_name: "example", 
}

Request syntax with placeholder values


resp = client.submit_job({
  job_name: "String", # required
  job_queue: "String", # required
  array_properties: {
    size: 1,
  },
  depends_on: [
    {
      job_id: "String",
      type: "N_TO_N", # accepts N_TO_N, SEQUENTIAL
    },
  ],
  job_definition: "String", # required
  parameters: {
    "String" => "String",
  },
  container_overrides: {
    vcpus: 1,
    memory: 1,
    command: ["String"],
    instance_type: "String",
    environment: [
      {
        name: "String",
        value: "String",
      },
    ],
    resource_requirements: [
      {
        value: "String", # required
        type: "GPU", # required, accepts GPU, VCPU, MEMORY
      },
    ],
  },
  node_overrides: {
    num_nodes: 1,
    node_property_overrides: [
      {
        target_nodes: "String", # required
        container_overrides: {
          vcpus: 1,
          memory: 1,
          command: ["String"],
          instance_type: "String",
          environment: [
            {
              name: "String",
              value: "String",
            },
          ],
          resource_requirements: [
            {
              value: "String", # required
              type: "GPU", # required, accepts GPU, VCPU, MEMORY
            },
          ],
        },
      },
    ],
  },
  retry_strategy: {
    attempts: 1,
    evaluate_on_exit: [
      {
        on_status_reason: "String",
        on_reason: "String",
        on_exit_code: "String",
        action: "RETRY", # required, accepts RETRY, EXIT
      },
    ],
  },
  propagate_tags: false,
  timeout: {
    attempt_duration_seconds: 1,
  },
  tags: {
    "TagKey" => "TagValue",
  },
})

Response structure


resp.job_arn #=> String
resp.job_name #=> String
resp.job_id #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :job_name (required, String) —

    The name of the job. The first character must be alphanumeric, and up to 128 letters (uppercase and lowercase), numbers, hyphens, and underscores are allowed.

  • :job_queue (required, String) —

    The job queue where the job is submitted. You can specify either the name or the Amazon Resource Name (ARN) of the queue.

  • :array_properties (Types::ArrayProperties) —

    The array properties for the submitted job, such as the size of the array. The array size can be between 2 and 10,000. If you specify array properties for a job, it becomes an array job. For more information, see Array Jobs in the AWS Batch User Guide.

  • :depends_on (Array<Types::JobDependency>) —

    A list of dependencies for the job. A job can depend upon a maximum of 20 jobs. You can specify a SEQUENTIAL type dependency without specifying a job ID for array jobs so that each child array job completes sequentially, starting at index 0. You can also specify an N_TO_N type dependency with a job ID for array jobs. In that case, each index child of this job must wait for the corresponding index child of each dependency to complete before it can begin.

  • :job_definition (required, String) —

    The job definition used by this job. This value can be one of name, name:revision, or the Amazon Resource Name (ARN) for the job definition. If name is specified without a revision then the latest active revision is used.

  • :parameters (Hash<String,String>) —

    Additional parameters passed to the job that replace parameter substitution placeholders that are set in the job definition. Parameters are specified as a key and value pair mapping. Parameters in a SubmitJob request override any corresponding parameter defaults from the job definition.

  • :container_overrides (Types::ContainerOverrides) —

    A list of container overrides in the JSON format that specify the name of a container in the specified job definition and the overrides it should receive. You can override the default command for a container, which is specified in the job definition or the Docker image, with a command override. You can also override existing environment variables on a container or add new environment variables to it with an environment override.

  • :node_overrides (Types::NodeOverrides) —

    A list of node overrides in JSON format that specify the node range to target and the container overrides for that node range.

    This parameter isn't applicable to jobs running on Fargate resources; use containerOverrides instead.

  • :retry_strategy (Types::RetryStrategy) —

    The retry strategy to use for failed jobs from this SubmitJob operation. When a retry strategy is specified here, it overrides the retry strategy defined in the job definition.

  • :propagate_tags (Boolean) —

    Specifies whether to propagate the tags from the job or job definition to the corresponding Amazon ECS task. If no value is specified, the tags aren't propagated. Tags can only be propagated to the tasks during task creation. For tags with the same name, job tags are given priority over job definitions tags. If the total number of combined tags from the job and job definition is over 50, the job is moved to the FAILED state. When specified, this overrides the tag propagation setting in the job definition.

  • :timeout (Types::JobTimeout) —

    The timeout configuration for this SubmitJob operation. You can specify a timeout duration after which AWS Batch terminates your jobs if they haven't finished. If a job is terminated due to a timeout, it isn't retried. The minimum value for the timeout is 60 seconds. This configuration overrides any timeout configuration specified in the job definition. For array jobs, child jobs have the same timeout configuration as the parent job. For more information, see Job Timeouts in the Amazon Elastic Container Service Developer Guide.

  • :tags (Hash<String,String>) —

    The tags that you apply to the job request to help you categorize and organize your resources. Each tag consists of a key and an optional value. For more information, see Tagging AWS Resources in AWS General Reference.

Returns:

See Also:



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# File 'gems/aws-sdk-batch/lib/aws-sdk-batch/client.rb', line 2517

def submit_job(params = {}, options = {})
  req = build_request(:submit_job, params)
  req.send_request(options)
end

#tag_resource(params = {}) ⇒ Struct

Associates the specified tags to a resource with the specified resourceArn. If existing tags on a resource aren't specified in the request parameters, they aren't changed. When a resource is deleted, the tags associated with that resource are deleted as well. AWS Batch resources that support tags are compute environments, jobs, job definitions, and job queues. ARNs for child jobs of array and multi-node parallel (MNP) jobs are not supported.

Examples:

Example: TagResource Example


# This demonstrates calling the TagResource action.

resp = client.tag_resource({
  resource_arn: "arn:aws:batch:us-east-1:123456789012:job-definition/sleep30:1", 
  tags: {
    "Stage" => "Alpha", 
  }, 
})

resp.to_h outputs the following:
{
}

Request syntax with placeholder values


resp = client.tag_resource({
  resource_arn: "String", # required
  tags: { # required
    "TagKey" => "TagValue",
  },
})

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :resource_arn (required, String) —

    The Amazon Resource Name (ARN) of the resource that tags are added to. AWS Batch resources that support tags are compute environments, jobs, job definitions, and job queues. ARNs for child jobs of array and multi-node parallel (MNP) jobs are not supported.

  • :tags (required, Hash<String,String>) —

    The tags that you apply to the resource to help you categorize and organize your resources. Each tag consists of a key and an optional value. For more information, see Tagging AWS Resources in AWS General Reference.

Returns:

  • (Struct) —

    Returns an empty response.

See Also:



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# File 'gems/aws-sdk-batch/lib/aws-sdk-batch/client.rb', line 2577

def tag_resource(params = {}, options = {})
  req = build_request(:tag_resource, params)
  req.send_request(options)
end

#terminate_job(params = {}) ⇒ Struct

Terminates a job 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.

Examples:

Example: To terminate a job


# This example terminates a job with the specified job ID.

resp = client.terminate_job({
  job_id: "61e743ed-35e4-48da-b2de-5c8333821c84", 
  reason: "Terminating job.", 
})

resp.to_h outputs the following:
{
}

Request syntax with placeholder values


resp = client.terminate_job({
  job_id: "String", # required
  reason: "String", # required
})

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :job_id (required, String) —

    The AWS Batch job ID of the job to terminate.

  • :reason (required, String) —

    A message to attach to the job that explains the reason for canceling it. This message is returned by future DescribeJobs operations on the job. This message is also recorded in the AWS Batch activity logs.

Returns:

  • (Struct) —

    Returns an empty response.

See Also:



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# File 'gems/aws-sdk-batch/lib/aws-sdk-batch/client.rb', line 2622

def terminate_job(params = {}, options = {})
  req = build_request(:terminate_job, params)
  req.send_request(options)
end

#untag_resource(params = {}) ⇒ Struct

Deletes specified tags from an AWS Batch resource.

Examples:

Example: UntagResource Example


# This demonstrates calling the UntagResource action.

resp = client.untag_resource({
  resource_arn: "arn:aws:batch:us-east-1:123456789012:job-definition/sleep30:1", 
  tag_keys: [
    "Stage", 
  ], 
})

resp.to_h outputs the following:
{
}

Request syntax with placeholder values


resp = client.untag_resource({
  resource_arn: "String", # required
  tag_keys: ["TagKey"], # required
})

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :resource_arn (required, String) —

    The Amazon Resource Name (ARN) of the resource from which to delete tags. AWS Batch resources that support tags are compute environments, jobs, job definitions, and job queues. ARNs for child jobs of array and multi-node parallel (MNP) jobs are not supported.

  • :tag_keys (required, Array<String>) —

    The keys of the tags to be removed.

Returns:

  • (Struct) —

    Returns an empty response.

See Also:



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# File 'gems/aws-sdk-batch/lib/aws-sdk-batch/client.rb', line 2667

def untag_resource(params = {}, options = {})
  req = build_request(:untag_resource, params)
  req.send_request(options)
end

#update_compute_environment(params = {}) ⇒ Types::UpdateComputeEnvironmentResponse

Updates an AWS Batch compute environment.

Examples:

Example: To update a compute environment


# This example disables the P2OnDemand compute environment so it can be deleted.

resp = client.update_compute_environment({
  compute_environment: "P2OnDemand", 
  state: "DISABLED", 
})

resp.to_h outputs the following:
{
  compute_environment_arn: "arn:aws:batch:us-east-1:012345678910:compute-environment/P2OnDemand", 
  compute_environment_name: "P2OnDemand", 
}

Request syntax with placeholder values


resp = client.update_compute_environment({
  compute_environment: "String", # required
  state: "ENABLED", # accepts ENABLED, DISABLED
  compute_resources: {
    minv_cpus: 1,
    maxv_cpus: 1,
    desiredv_cpus: 1,
    subnets: ["String"],
    security_group_ids: ["String"],
  },
  service_role: "String",
})

Response structure


resp.compute_environment_name #=> String
resp.compute_environment_arn #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :compute_environment (required, String) —

    The name or full Amazon Resource Name (ARN) of the compute environment to update.

  • :state (String) —

    The state of the compute environment. Compute environments in the ENABLED state can accept jobs from a queue and scale in or out automatically based on the workload demand of its associated queues.

    If the state is ENABLED, then the AWS Batch scheduler can attempt to place jobs from an associated job queue on the compute resources within the environment. If the compute environment is managed, then it can scale its instances out or in automatically, based on the job queue demand.

    If the state is DISABLED, then the AWS Batch scheduler doesn't attempt to place jobs within the environment. Jobs in a STARTING or RUNNING state continue to progress normally. Managed compute environments in the DISABLED state don't scale out. However, they scale in to minvCpus value after instances become idle.

  • :compute_resources (Types::ComputeResourceUpdate) —

    Details of the compute resources managed by the compute environment. Required for a managed compute environment. For more information, see Compute Environments in the AWS Batch User Guide.

  • :service_role (String) —

    The full Amazon Resource Name (ARN) of the IAM role that allows AWS Batch to make calls to other AWS services on your behalf. For more information, see AWS Batch service IAM role in the AWS Batch User Guide.

    If the compute environment has a service-linked role, it cannot be changed to use a regular IAM role. If the compute environment has a regular IAM role, it cannot be changed to use a service-linked role.

    If your specified role has a path other than /, then you must either specify the full role ARN (this is recommended) or prefix the role name with the path.

    Depending on how you created your AWS Batch service role, its ARN might contain the service-role path prefix. When you only specify the name of the service role, AWS Batch assumes that your ARN doesn't use the service-role path prefix. Because of this, we recommend that you specify the full ARN of your service role when you create compute environments.

Returns:

See Also:



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# File 'gems/aws-sdk-batch/lib/aws-sdk-batch/client.rb', line 2776

def update_compute_environment(params = {}, options = {})
  req = build_request(:update_compute_environment, params)
  req.send_request(options)
end

#update_job_queue(params = {}) ⇒ Types::UpdateJobQueueResponse

Updates a job queue.

Examples:

Example: To update a job queue


# This example disables a job queue so that it can be deleted.

resp = client.update_job_queue({
  job_queue: "GPGPU", 
  state: "DISABLED", 
})

resp.to_h outputs the following:
{
  job_queue_arn: "arn:aws:batch:us-east-1:012345678910:job-queue/GPGPU", 
  job_queue_name: "GPGPU", 
}

Request syntax with placeholder values


resp = client.update_job_queue({
  job_queue: "String", # required
  state: "ENABLED", # accepts ENABLED, DISABLED
  priority: 1,
  compute_environment_order: [
    {
      order: 1, # required
      compute_environment: "String", # required
    },
  ],
})

Response structure


resp.job_queue_name #=> String
resp.job_queue_arn #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :job_queue (required, String) —

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

  • :state (String) —

    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.

  • :priority (Integer) —

    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.

  • :compute_environment_order (Array<Types::ComputeEnvironmentOrder>) —

    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. AWS Batch doesn't support mixing compute environment architecture types in a single job queue.

Returns:

See Also:



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# File 'gems/aws-sdk-batch/lib/aws-sdk-batch/client.rb', line 2862

def update_job_queue(params = {}, options = {})
  req = build_request(:update_job_queue, params)
  req.send_request(options)
end