Checking the Cluster Status

The cluster list contains all clusters in MRS. You can view clusters in various states. If a large number of clusters are involved, navigate through multiple pages to view all of the clusters.

MRS, as a platform managing and analyzing massive data, provides a PB-level data processing capability. MRS allows you to create multiple clusters. The cluster quantity is subject to that of ECSs.

Clusters are listed in chronological order by default in the cluster list, with the most recent cluster displayed at the top. Table 1 describes the cluster list parameters.

Active Clusters: contain all clusters except the clusters in the Failed and Deleted states.
Cluster History: contains the clusters in the Deleted states. Only clusters deleted within the last six months are displayed. If you want to view clusters deleted six months ago, contact technical support.
Failed Tasks: only contain the tasks in the Failed state. You can click on the Active Cluster page to view failed tasks.

**Table 1** Parameters in the active cluster list
Parameter	Description
Name/ID	Cluster name, which is set when a cluster is created. Unique identifier of a cluster, which is automatically assigned when a cluster is created. : Change the cluster name. : Copy the cluster ID.
Cluster Version	Cluster version.
Cluster Type	The type of a cluster you want to create.
Nodes	Number of nodes that can be deployed in a cluster. This parameter is set when a cluster is created.
Status	Status and operation progress description of a cluster. The cluster creation progress includes: Verifying cluster parameters Applying for cluster resources Creating VMs Initializing VMs Installing MRS Manager Deploying the cluster Cluster installation failed The cluster scale-out progress includes: Preparing for scale-out Creating VMs Initializing VMs Adding nodes to the cluster Scale-out failed The cluster scale-in progress includes: Preparing for scale-in Decommissioning instance Deleting VMs Deleting nodes from the cluster Scale-in failed The system will display causes of cluster installation, scale-out, and scale-in failures. For details, see Table 6.
Created	The time when a cluster node is successfully created. This parameter is displayed only on the Cluster History page.
Deleted	Time when a cluster node stops and the cluster node begins to be deleted. This parameter is valid only for historical clusters displayed on the Cluster History page.
AZ	Availability zone (AZ) in the region of a cluster, which is set when a cluster is created.
Enterprise Project	Enterprise project to which a cluster belongs.
Operation	Delete: If the cluster is no longer needed after the job execution is complete, you can click Delete. To confirm deletion, enter DELETE in the displayed dialog box and click OK. The cluster status changes from Running to Deleting. After the cluster is deleted, the cluster status changes to Deleted and is displayed in the historical cluster list. A cluster failed to be deployed will be automatically deleted. This parameter is displayed in Active Clusters only. NOTE: Typically after data is analyzed and stored, or when the cluster encounters an exception and cannot work, you can delete a cluster. If a cluster is deleted before data processing and analysis are completed, data loss may occur. Therefore, exercise caution when deleting a cluster.

**Table 2** Button description
Button	Description
	Select an enterprise project from the drop-down list to filter the corresponding cluster.
	Select a status to filter clusters from the drop-down list: All statuses Starting Running Scaling out Scaling in Abnormal Deleting Restoring node...
	Choose Clusters > Active Clusters and click to go to the page for managing failed tasks. Num: displays the failed tasks in the failed state.
	Enter a cluster name in the search bar and click to search for a cluster.
Search by Tag	Click Search by Tag, enter the tag of the cluster to be queried, and click Search to search for the clusters. You can select a tag key or tag value from their drop-down lists. When the tag key or tag value is exactly matched, the system can automatically locate the target cluster. If you enter multiple tags, their intersections are used to search for the cluster.
	Click to manually refresh the cluster list.