Terminate an Amazon EMR cluster in the starting, running, or waiting states
This section describes the methods of terminating a cluster. For information about
enabling termination protection and auto-terminating clusters, see Control Amazon EMR cluster termination. You can terminate
clusters in the STARTING
, RUNNING
, or WAITING
states.
A cluster in the WAITING
state must be terminated or it runs indefinitely,
generating charges to your account. You can terminate a cluster that fails to leave the
STARTING
state or is unable to complete a step.
If you want to terminate a cluster that has termination protection set on it, you must
disable termination protection before you can terminate the cluster. Clusters can be
terminated using the console, the Amazon CLI, or programmatically using the
TerminateJobFlows
API.
Depending on the configuration of the cluster, it could take from 5 to 20 minutes for the cluster to completely terminate and release allocated resources, such as EC2 instances.
Note
You can't restart a terminated cluster, but you can clone a terminated cluster to reuse its configuration for a new cluster. For more information, see Clone an Amazon EMR cluster using the console.
Important
Amazon EMR uses the Amazon EMR service role and the
AWSServiceRoleForEMRCleanup
role to clean up cluster resources
in your account that you no longer use, such as Amazon EC2 instances. You must include
actions for the role policies to delete or terminate the resources. Otherwise, Amazon EMR
can’t perform these cleanup actions, and you might incur costs for unused resources that
remain on the cluster.
Terminate a cluster with the console
You can terminate one or more clusters using the Amazon EMR console. The steps to terminate a cluster in the console vary depending on whether termination protection is on or off. To terminate a protected cluster, you must first disable termination protection.
Terminate a cluster with the Amazon CLI
To terminate an unprotected cluster using the Amazon CLI
To terminate an unprotected cluster using the Amazon CLI, use the
terminate-clusters
subcommand with the --cluster-ids parameter.
-
Type the following command to terminate a single cluster and replace
j-3KVXXXXXXX7UG
with your cluster ID.aws emr terminate-clusters --cluster-ids
j-3KVXXXXXXX7UG
To terminate multiple clusters, type the following command and replace
j-3KVXXXXXXX7UG
andj-WJ2XXXXXX8EU
with your cluster IDs.aws emr terminate-clusters --cluster-ids
j-3KVXXXXXXX7UG
j-WJ2XXXXXX8EU
For more information on using Amazon EMR commands in the Amazon CLI, see https://docs.amazonaws.cn/cli/latest/reference/emr.
To terminate a protected cluster using the Amazon CLI
To terminate a protected cluster using the Amazon CLI, first disable termination
protection using the modify-cluster-attributes
subcommand with the
--no-termination-protected
parameter. Then use the
terminate-clusters
subcommand with the --cluster-ids
parameter to terminate it.
-
Type the following command to disable termination protection and replace
j-3KVTXXXXXX7UG
with your cluster ID.aws emr modify-cluster-attributes --cluster-id
j-3KVTXXXXXX7UG
--no-termination-protected -
To terminate the cluster, type the following command and replace
j-3KVXXXXXXX7UG
with your cluster ID.aws emr terminate-clusters --cluster-ids
j-3KVXXXXXXX7UG
To terminate multiple clusters, type the following command and replace
j-3KVXXXXXXX7UG
andj-WJ2XXXXXX8EU
with your cluster IDs.aws emr terminate-clusters --cluster-ids
j-3KVXXXXXXX7UG
j-WJ2XXXXXX8EU
For more information on using Amazon EMR commands in the Amazon CLI, see https://docs.amazonaws.cn/cli/latest/reference/emr.
Terminate a cluster with the API
The TerminateJobFlows
operation ends step processing, uploads any log
data from Amazon EC2 to Amazon S3 (if configured), and terminates the Hadoop cluster. A cluster
also terminates automatically if you set KeepJobAliveWhenNoSteps
to
False
in a RunJobFlows
request.
You can use this action to terminate either a single cluster or a list of clusters by their cluster IDs.
For more information about the input parameters unique to
TerminateJobFlows
, see TerminateJobFlows. For more
information about the generic parameters in the request, see Common request parameters.