This topic describes the billable items and billing rules of AnalyticDB for MySQL Data Lakehouse Edition (V3.0) clusters.
Bill composition
The following figure shows the bill composition for AnalyticDB for MySQL Data Lakehouse Edition (V3.0) clusters.
Billable items and billing rules
The following table describes how the fees for each billable item are calculated.
Category | Billable item | Billing method | Description |
Reserved resources |
| Pay-as-you-go Subscription Note ACU-hour plans can be used to offset the reserved resources of pay-as-you-go clusters. For more information, see ACU-hour plans. | Billing scope: You are billed for reserved resources or storage resources when you create a cluster. You are billed for changed reserved resources when you scale up a cluster. Billing unit: The resources are bundled into units and sold as AnalyticDB compute units (ACUs). Each ACU is approximately equal to 1 core and 4 GB memory. Fee calculation: Reserved resource fee = Unit price per ACU × (Number of ACUs for reserved computing resources + Number of ACUs for reserved storage resources) × Usage duration |
Storage |
| Pay-as-you-go | Billing scope: You are billed for data storage based on the actual storage space occupied. Fee calculation: Storage fee = Hot data storage fee + Cold data storage fee
Viewing information: You can log on to the AnalyticDB for MySQL console and go to the Monitoring Information page to view the amount of storage used for hot data and cold data. For more information, see View monitoring information. |
Elastic resources |
| Pay-as-you-go Note
| Billing scope:
Important Spot instance resources can be used for on-demand scaling scenarios, but not scheduled scaling scenarios. Billing unit: The resources are bundled into units and sold as ACUs. Each ACU is approximately equal to 1 core and 4 GB memory. Fee calculation: Elastic resource fee = Unit price per ACU × Number of ACUs × Usage duration Viewing information: You can log on to the AnalyticDB for MySQL console and go to the Resource Management page to view the amount of used elastic resources. For more information, see View monitoring information of resource groups. |
Billing examples
The following billing examples are provided for reference only. See the service console or buy page to obtain the actual prices of individual resources.
Example 1
You purchase a subscription Data Lakehouse Edition (V3.0) cluster in the China (Hangzhou) region. The cluster has 32 ACUs of reserved computing resources and 24 ACUs of reserved storage resources. The subscription period is three months.
The following table describes the fees for individual resources.
Category | Billable item | Fee |
Reserved resources | Reserved computing resources | USD 21.54 per ACU-month × 32 ACUs × 3 months = USD 2,067.84 |
Reserved storage resources | USD 21.54 per ACU-month × 24 ACUs × 3 months = USD 1,550.88 |
Total fees for three months = USD 2,067.84 + USD 1,550.88 = USD 3,618.72
Example 2
You purchase a pay-as-you-go Data Lakehouse Edition (V3.0) cluster in the China (Hangzhou) region.
Reserved resources: The cluster has 32 ACUs of reserved computing resources and 24 ACUs of reserved storage resources.
Elastic resources: A job resource group that has 0 ACUs of reserved resources is created. The job resource group is used to run a Spark job of 2 cores and 4 GB memory (equivalent to 2 × 0.8 ACUs) for 1 hour.
Storage: The cluster stores 100 GB of hot data and 260 GB of cold data.
The following table describes the fees for individual resources.
Category | Billable item | Fee |
Reserved resources | Reserved computing resources | USD 0.04615 per ACU-hour × 32 ACUs × 1 hour = USD 1.4768 |
Reserved storage resources | USD 0.04615 per ACU-hour × 24 ACUs × 1 hour = USD 1.1076 | |
Elastic resources | On-demand scaling | USD 0.04615 per ACU-hour × 2 × 0.8 ACUs × 1 hour = USD 0.07384 |
Storage | Hot data storage | USD 0.000425 per GB-hour × 100 GB × 1 hour = USD 0.0425 |
Cold data storage | USD 0.000028 per GB-hour × 260 GB × 1 hour = USD 0.00728 |
Total fees per hour = USD 1.4768 + USD 1.1076 + USD 0.07384 + USD 0.0425 + USD 0.00728 = USD 2.70802
References