Stops a running task. Any tags associated with the task will be deleted.
When stop_task is called 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.
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.
ecs_stop_task(cluster, task, reason)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"
)
),
networkInterfaces = list(
list(
attachmentId = "string",
privateIpv4Address = "string",
ipv6Address = "string"
)
),
healthStatus = "HEALTHY"|"UNHEALTHY"|"UNKNOWN",
cpu = "string",
memory = "string",
memoryReservation = "string",
gpuIds = list(
"string"
)
)
),
cpu = "string",
createdAt = as.POSIXct(
"2015-01-01"
),
desiredStatus = "string",
executionStoppedAt = as.POSIXct(
"2015-01-01"
),
group = "string",
healthStatus = "HEALTHY"|"UNHEALTHY"|"UNKNOWN",
inferenceAccelerators = list(
list(
deviceName = "string",
deviceType = "string"
)
),
lastStatus = "string",
launchType = "EC2"|"FARGATE",
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"
),
platformVersion = "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",
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
)
)
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.
[required] The task ID or full Amazon Resource Name (ARN) of the task to stop.
An optional message specified when a task is stopped. For example, if
you are 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. Up to 255 characters are allowed in this message.
svc$stop_task(
cluster = "string",
task = "string",
reason = "string"
)