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Class: Aws::Batch::Client

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

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

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

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

    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 IMDS instance profile - When used by default, the timeouts are very aggressive. Construct and pass an instance of Aws::InstanceProfileCredentails 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 search 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.

  • :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.

  • :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 endpoints. This should be avalid 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. Defaults to false.

  • :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.

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

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

  • :retry_base_delay (Float) — default: 0.3

    The base delay in seconds used by the default backoff function.

  • :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.

    @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 and auth errors from expired credentials.

  • :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.

  • :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 rasing 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 yeidled by #session_for.

  • :http_idle_timeout (Float) — default: 5

    The number of seconds a connection is allowed to sit idble 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 yeidled by #session_for.

  • :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 251

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 cancelled. Jobs that have progressed to STARTING or RUNNING are not cancelled (but the API operation still succeeds, even if no job is cancelled); 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 298

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.

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. You can choose to use Amazon EC2 On-Demand Instances or Spot Instances in your managed compute environment. You can optionally set a maximum price so that Spot Instances only launch when the Spot Instance price is below a specified percentage of the On-Demand price.

Multi-node parallel jobs are not supported on Spot Instances.

In an unmanaged compute environment, you can manage your own compute resources. This provides more compute resource configuration options, such as using a custom AMI, but you must ensure that your AMI meets the Amazon ECS container instance AMI specification. For more information, see Container Instance AMIs in the Amazon Elastic Container Service Developer Guide. After you have created your unmanaged compute environment, you can use the DescribeComputeEnvironments operation to find the Amazon ECS cluster that is associated with it. Then, manually 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 does not upgrade the AMIs in a compute environment after it is created (for example, when a newer version of the Amazon ECS-optimized AMI is available). You are responsible for the management of the guest operating system (including 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:

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

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

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

  4. Delete the old 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
    minv_cpus: 1, # required
    maxv_cpus: 1, # required
    desiredv_cpus: 1,
    instance_types: ["String"], # required
    image_id: "String",
    subnets: ["String"], # required
    security_group_ids: ["String"],
    ec2_key_pair: "String",
    instance_role: "String", # required
    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",
    },
  },
  service_role: "String", # required
})

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. 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.

  • :compute_resources (Types::ComputeResource)

    Details of 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 (required, 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.

    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 may contain the service-role path prefix. When you only specify the name of the service role, AWS Batch assumes that your ARN does not 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 533

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 in which the AWS Batch scheduler places jobs onto its associated compute environments. For example, if a compute environment is associated with more than one job queue, the job queue with a higher priority is given preference for scheduling jobs to that compute environment.

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
    },
  ],
})

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.

  • :state (String)

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

  • :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.

  • :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 execute a given 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.

Returns:

See Also:



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# File 'gems/aws-sdk-batch/lib/aws-sdk-batch/client.rb', line 649

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.

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 690

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 terminated when you delete a job queue.

It is 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 731

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.

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 767

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 are using an unmanaged compute environment, you can use the DescribeComputeEnvironment operation to determine the ecsClusterArn that you should launch your Amazon ECS container instances into.

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].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"
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].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 is not 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 is 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 907

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.

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].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.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.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"
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].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.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.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"
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.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 along with 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 is not 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 with which 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 is 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 1089

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.

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.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 along with 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 is not 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 is 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 1185

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_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].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.volumes #=> Array
resp.jobs[0].container.volumes[0].host.source_path #=> String
resp.jobs[0].container.volumes[0].name #=> String
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"
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].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.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.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"
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].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

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 1375

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:

  • 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 that job's nodes

  • an array job ID to return a list of that job's children

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

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_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 with which 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 with which to filter jobs in the specified queue. If you do not 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 along with 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 is not 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 is 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 1511

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

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",
    volumes: [
      {
        host: {
          source_path: "String",
        },
        name: "String",
      },
    ],
    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
      },
    ],
    linux_parameters: {
      devices: [
        {
          host_path: "String", # required
          container_path: "String",
          permissions: ["READ"], # accepts READ, WRITE, MKNOD
        },
      ],
    },
  },
  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",
          volumes: [
            {
              host: {
                source_path: "String",
              },
              name: "String",
            },
          ],
          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
            },
          ],
          linux_parameters: {
            devices: [
              {
                host_path: "String", # required
                container_path: "String",
                permissions: ["READ"], # accepts READ, WRITE, MKNOD
              },
            ],
          },
        },
      },
    ],
  },
  retry_strategy: {
    attempts: 1,
  },
  timeout: {
    attempt_duration_seconds: 1,
  },
})

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.

  • :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.

  • :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.

  • :retry_strategy (Types::RetryStrategy)

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

  • :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 is not retried. The minimum value for the timeout is 60 seconds. Any timeout configuration that is specified during a SubmitJob operation overrides the timeout configuration defined here. For more information, see Job Timeouts in the Amazon Elastic Container Service Developer Guide.

Returns:

See Also:



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# File 'gems/aws-sdk-batch/lib/aws-sdk-batch/client.rb', line 1745

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 specified during SubmitJob override parameters defined in the job definition.

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
      },
    ],
  },
  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
            },
          ],
        },
      },
    ],
  },
  retry_strategy: {
    attempts: 1,
  },
  timeout: {
    attempt_duration_seconds: 1,
  },
})

Response structure


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 into which 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 either a name:revision or the Amazon Resource Name (ARN) for the job definition.

  • :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 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 (that is specified in the job definition or the Docker image) with a command override. You can also override existing environment variables (that are specified in the job definition or Docker image) 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.

  • :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.

  • :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 have not finished. If a job is terminated due to a timeout, it is not 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.

Returns:

See Also:



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# File 'gems/aws-sdk-batch/lib/aws-sdk-batch/client.rb', line 1928

def submit_job(params = {}, options = {})
  req = build_request(:submit_job, 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 1973

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

  • :compute_resources (Types::ComputeResourceUpdate)

    Details of the compute resources managed by the compute environment. Required for a managed compute environment.

  • :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.

    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 may contain the service-role path prefix. When you only specify the name of the service role, AWS Batch assumes that your ARN does not 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 2053

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.

  • :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.

  • :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 execute a given job.

Returns:

See Also:



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# File 'gems/aws-sdk-batch/lib/aws-sdk-batch/client.rb', line 2124

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