Help Center > > User Guide> Configuring a Cluster> Cluster List

Cluster List

Updated at: Sep 02, 2021 GMT+08:00

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 purchase 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 Terminated states.
  • Cluster History: contains the tasks in the Terminated states. Only clusters terminated within the last six months are displayed. If you want to view clusters terminated six months ago, contact HUAWEI CLOUD technical support engineers.
  • Failed Tasks: only contain the tasks in the Failed state. Task failures include:
    • Cluster creation failure
    • Cluster termination failure
    • Cluster scale-out failure
    • Cluster scale-in failure
    • Cluster patch installation failure (supported only by versions earlier than MRS 3.x)
    • Cluster patch uninstallation failure (supported only by versions earlier than MRS 3.x)
    • Cluster specifications upgrade failure
Table 1 Parameters in the active cluster list




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.


Number of nodes that can be deployed in a cluster. This parameter is set when a cluster is created.


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.


Time when a cluster node billing stops and the cluster node begins to be terminated. This parameter is valid only for historical clusters displayed on the Cluster History page.

Billing Mode

Currently, the commercial version of MRS is charged based on ECSs in a cluster.

  • Yearly/Monthly: The duration ranges from one month to one year. The minimum cluster duration is 1 month and the maximum available cluster duration is 1 year.
  • Pay-per-use: Nodes are charged by actual duration of use, with a billing cycle of one hour.

The time when the cluster node is successfully created, that is, the billing start time, is displayed under Billing Mode.


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.


Terminate: If you want to terminate a cluster after jobs are complete, click Terminate. The cluster status changes from Running to Terminating. After the cluster is terminated, the cluster status will change to Terminated and will be displayed in Cluster History. If the MRS cluster fails to be deployed, the cluster is automatically terminated.

This parameter is displayed in Active Clusters only.


Typically after data is analyzed and stored, or when the cluster encounters an exception and cannot work, you can terminate a cluster. If a cluster is terminated before data processing and analysis are completed, data loss may occur. Therefore, exercise caution when terminating a cluster.

Table 2 Button description



Select an enterprise project from the drop-down list to filter the corresponding cluster.

In the drop-down list, select a status to filter clusters:

  • Active Clusters
    • All statuses: displays all existing clusters.
    • Starting: displays existing clusters in the Starting state.
    • Running: displays existing clusters in the Running state.
    • Scaling out: displays existing clusters in the Scaling out state.
    • Scaling in: displays existing clusters in the Scaling in state.
    • Abnormal: displays existing clusters in the Abnormal state.
    • Terminating: displays existing clusters in the Terminating state.
    • Frozen: displays existing clusters in the Frozen state.

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.

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