Describe Cluster
emr.describe_cluster
ActionAmazon Web Servicesconnection required
Calls the AWS emr API (SigV4).
Read one EMR cluster's state and release.
Connection
- Required
- Yes — the node will not save without one
- Auth type
- API key
- Providers
- Amazon EMR
- Secret shape
- {"access_key_id", "secret_access_key"}
- Config it needs
- region
- Resolved by
- config.connection_id, else node.connection_id
Configuration
2 fields, 1 required. A dotted path is a nested object and name[] an array of objects — the editor renders the same tree.
| Field | Type | Required | Default | Constraints | Example |
|---|---|---|---|---|---|
region AWS region (overrides the connection). | string | No | — | — | — |
cluster_id Cluster id (j-…). | string | Yes | — | — | — |
Output
One shape.
result
| Field | Type | Example |
|---|---|---|
cluster_id | string | — |
name | string | — |
state | string | — |
state_reason Why the cluster reached that state. | string | — |
state_reason_code Machine-readable form of state_reason. | string | — |
release_label | string | — |
cluster_arn Full ARN — what tagging and IAM steps take. | string | — |
created_at Cluster creation time, epoch seconds. | number | — |
ready_at When the cluster became ready, epoch seconds. | number | — |
ended_at When the cluster terminated, epoch seconds. | number | — |
master_public_dns_name DNS name of the master node. | string | — |
log_uri S3 location the cluster writes its logs to. | string | — |
log_encryption_kms_key_id KMS key those logs are encrypted with. | string | — |
custom_ami_id Custom AMI the instances booted from, if any. | string | — |
outpost_arn Outpost the cluster runs on, if any. | string | — |
applications Installed applications as {name, version}. | array | — |
tags Cluster tags, keyed by tag key. | object | — |
normalized_instance_hours Billed normalized instance hours. | number | — |
auto_terminate Whether the cluster terminates after its steps. | boolean | — |
termination_protected Whether termination is blocked. | boolean | — |
{
"applications": [],
"auto_terminate": false,
"cluster_arn": "",
"cluster_id": "",
"created_at": 0,
"custom_ami_id": "",
"ended_at": 0,
"log_encryption_kms_key_id": "",
"log_uri": "",
"master_public_dns_name": "",
"name": "",
"normalized_instance_hours": 0,
"outpost_arn": "",
"ready_at": 0,
"release_label": "",
"state": "",
"state_reason": "",
"state_reason_code": "",
"tags": {},
"termination_protected": false
}Related Amazon EMR nodes
See Describe Cluster run in a workflow.
In a technical demo we add the Amazon EMR connection, drop the node on the canvas and let Workflow Health pre-flight it before the first real run.