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AnalyticDB for MySQL:Scale a Data Lakehouse Edition cluster

Last Updated:Feb 27, 2024

If the resources that are selected when you purchase an AnalyticDB for MySQL Data Lakehouse Edition (V3.0) cluster cannot meet your business requirements or are far more than required, you can scale the cluster.

Prerequisites

  • Your Alibaba Cloud account does not have unpaid renewal orders.

  • The AnalyticDB for MySQL Data Lakehouse Edition (V3.0) cluster is in the Running state.

Usage notes

  • When you scale a cluster, you cannot execute the SUBMIT JOB statement to submit asynchronous jobs. If your business requires asynchronous jobs, perform scaling during appropriate periods.

  • When you scale a cluster, data in the cluster is migrated for redistribution. The amount of time that is required to migrate data is proportional to the data volume.

  • When you downgrade cluster specifications, data migration may require up to dozens of hours to complete. Proceed with caution especially if your cluster contains a large amount of data.

  • When the scaling process is about to end, your service may encounter transient connections. We recommend that you scale your cluster during off-peak hours or make sure that your application is configured to automatically reconnect to your cluster.

  • You can change a cluster from Data Warehouse Edition (V3.0) to Data Lakehouse Edition (V3.0) but not the other way around. For more information, see Change a cluster from Data Warehouse Edition to Data Lakehouse Edition.

Billing rules

For information about the billing rules, see Billing of configuration changes.

Scale up a cluster

  1. Log on to the AnalyticDB for MySQL console. In the upper-left corner of the console, select a region. In the left-side navigation pane, click Clusters. On the Data Lakehouse Edition (V3.0) tab, find the cluster that you want to scale up and click Scale Up in the Actions column.

  2. On the Upgrade/Downgrade page, configure the Reserved Computing Resources and Reserved Storage Resources parameters.

    After you scale up a cluster, the cluster has more available resources.

  3. For a subscription cluster, read and select the Terms of Service, and then click Buy Now. Confirm the order and the payment method, and then click Subscribe. For a pay-as-you-go cluster, read and select the Terms of Service, and then click Buy Now.

Scale down a cluster

  1. Log on to the AnalyticDB for MySQL console. In the upper-left corner of the console, select a region. In the left-side navigation pane, click Clusters. On the Data Lakehouse Edition (V3.0) tab, find the cluster that you want to scale down and choose More > Scale Down in the Actions column.

  2. On the Downgrade page, configure the parameters that are described in the following table.

    Parameter

    Description

    Reserved Computing Resources

    • If the amount of reserved storage resources in the cluster and the total amount of reserved computing resources in all resource groups are both 0 AnayticDB compute units (ACUs), you can scale down the reserved computing resources of an AnalyticDB for MySQL Data Lakehouse Edition (V3.0) cluster to 0 ACUs.

    • Only when the total amount of reserved computing resources in all resource groups of a cluster is less than or equal to the amount of reserved computing resources to which you want to scale down the cluster, you can scale down the reserved computing resources. For example, if a cluster has 32 ACUs of reserved computing resources and you want to scale down the reserved computing resources to 16 ACUs, you must change the total amount of reserved computing resources in all resource groups to a value that is less than or equal to 16 ACUs.

    • Each ACU is equivalent to 1 core and 4 GB memory.

    Reserved Storage Resources

    • A set of reserved storage resources is equivalent to 24 ACUs.

    • You cannot scale down the reserved storage resources to 0 ACUs.

  3. For a subscription cluster, read and select the Terms of Service, and then click Buy Now. Confirm the order and the payment method, and then click Subscribe. For a pay-as-you-go cluster, read and select the Terms of Service, and then click Buy Now.