Stop Task

ecs_stop_task

R Documentation

Stops a running task

Description

Stops a running task. Any tags associated with the task will be deleted.

When you call stop_task on a task, the equivalent of ⁠docker stop⁠ is issued to the containers running in the task. This results in a SIGTERM value and a default 30-second timeout, after which the SIGKILL value is sent and the containers are forcibly stopped. If the container handles the SIGTERM value gracefully and exits within 30 seconds from receiving it, no SIGKILL value is sent.

For Windows containers, POSIX signals do not work and runtime stops the container by sending a CTRL_SHUTDOWN_EVENT. For more information, see Unable to react to graceful shutdown of (Windows) container #25982 on GitHub.

The default 30-second timeout can be configured on the Amazon ECS container agent with the ECS_CONTAINER_STOP_TIMEOUT variable. For more information, see Amazon ECS Container Agent Configuration in the Amazon Elastic Container Service Developer Guide.

Usage

ecs_stop_task(cluster, task, reason)

Arguments

cluster	The short name or full Amazon Resource Name (ARN) of the cluster that hosts the task to stop. If you do not specify a cluster, the default cluster is assumed.
task	[required] Thefull Amazon Resource Name (ARN) of the task.
reason	An optional message specified when a task is stopped. For example, if you're using a custom scheduler, you can use this parameter to specify the reason for stopping the task here, and the message appears in subsequent describe_tasks\> API operations on this task.

Value

A list with the following syntax:

list(
  task = list(
    attachments = list(
      list(
        id = "string",
        type = "string",
        status = "string",
        details = list(
          list(
            name = "string",
            value = "string"
          )
        )
      )
    ),
    attributes = list(
      list(
        name = "string",
        value = "string",
        targetType = "container-instance",
        targetId = "string"
      )
    ),
    availabilityZone = "string",
    capacityProviderName = "string",
    clusterArn = "string",
    connectivity = "CONNECTED"|"DISCONNECTED",
    connectivityAt = as.POSIXct(
      "2015-01-01"
    ),
    containerInstanceArn = "string",
    containers = list(
      list(
        containerArn = "string",
        taskArn = "string",
        name = "string",
        image = "string",
        imageDigest = "string",
        runtimeId = "string",
        lastStatus = "string",
        exitCode = 123,
        reason = "string",
        networkBindings = list(
          list(
            bindIP = "string",
            containerPort = 123,
            hostPort = 123,
            protocol = "tcp"|"udp",
            containerPortRange = "string",
            hostPortRange = "string"
          )
        ),
        networkInterfaces = list(
          list(
            attachmentId = "string",
            privateIpv4Address = "string",
            ipv6Address = "string"
          )
        ),
        healthStatus = "HEALTHY"|"UNHEALTHY"|"UNKNOWN",
        managedAgents = list(
          list(
            lastStartedAt = as.POSIXct(
              "2015-01-01"
            ),
            name = "ExecuteCommandAgent",
            reason = "string",
            lastStatus = "string"
          )
        ),
        cpu = "string",
        memory = "string",
        memoryReservation = "string",
        gpuIds = list(
          "string"
        )
      )
    ),
    cpu = "string",
    createdAt = as.POSIXct(
      "2015-01-01"
    ),
    desiredStatus = "string",
    enableExecuteCommand = TRUE|FALSE,
    executionStoppedAt = as.POSIXct(
      "2015-01-01"
    ),
    group = "string",
    healthStatus = "HEALTHY"|"UNHEALTHY"|"UNKNOWN",
    inferenceAccelerators = list(
      list(
        deviceName = "string",
        deviceType = "string"
      )
    ),
    lastStatus = "string",
    launchType = "EC2"|"FARGATE"|"EXTERNAL",
    memory = "string",
    overrides = list(
      containerOverrides = list(
        list(
          name = "string",
          command = list(
            "string"
          ),
          environment = list(
            list(
              name = "string",
              value = "string"
            )
          ),
          environmentFiles = list(
            list(
              value = "string",
              type = "s3"
            )
          ),
          cpu = 123,
          memory = 123,
          memoryReservation = 123,
          resourceRequirements = list(
            list(
              value = "string",
              type = "GPU"|"InferenceAccelerator"
            )
          )
        )
      ),
      cpu = "string",
      inferenceAcceleratorOverrides = list(
        list(
          deviceName = "string",
          deviceType = "string"
        )
      ),
      executionRoleArn = "string",
      memory = "string",
      taskRoleArn = "string",
      ephemeralStorage = list(
        sizeInGiB = 123
      )
    ),
    platformVersion = "string",
    platformFamily = "string",
    pullStartedAt = as.POSIXct(
      "2015-01-01"
    ),
    pullStoppedAt = as.POSIXct(
      "2015-01-01"
    ),
    startedAt = as.POSIXct(
      "2015-01-01"
    ),
    startedBy = "string",
    stopCode = "TaskFailedToStart"|"EssentialContainerExited"|"UserInitiated"|"ServiceSchedulerInitiated"|"SpotInterruption"|"TerminationNotice",
    stoppedAt = as.POSIXct(
      "2015-01-01"
    ),
    stoppedReason = "string",
    stoppingAt = as.POSIXct(
      "2015-01-01"
    ),
    tags = list(
      list(
        key = "string",
        value = "string"
      )
    ),
    taskArn = "string",
    taskDefinitionArn = "string",
    version = 123,
    ephemeralStorage = list(
      sizeInGiB = 123
    ),
    fargateEphemeralStorage = list(
      sizeInGiB = 123,
      kmsKeyId = "string"
    )
  )
)

Request syntax

svc$stop_task(
  cluster = "string",
  task = "string",
  reason = "string"
)