Batch Processing Resource¶
Data developers can use the Batch Processing service to process data through scheduling workflows. For more information, see Batch Data Processing Overview.
Resource Application Scenario¶
Two resources are required to run a batch data service: Batch Processing - Queue and Batch Processing - Container.
Batch Processing - Queue¶
The batch data processing resource is the computing resource for data analytics and its specifications define the computing capability for offline data analytics jobs. If the jobs require higher CPU usage, choose the Computing-Intensive specification. If the jobs require higher memory usage, choose the Memory-Intensive specification.
Resource Specification¶
The Batch Processing - Queue resource can be requested based on the computing unit (CU). You can request the appropriate computing specification according to the characteristics of the offline data analytics jobs (1 ~ 100 CU).
| Specification | Allocated Resources |
|---|---|
| Computing-Intensive | 1CU = 1 core CPU + 2GB Memory |
| Memory-Intensive | 1CU = 1 core CPU + 4GB Memory |
Batch Processing - Container¶
To run big data analysis tasks using the batch processing service, you need to apply for the Batch Processing - Container resource.
Resource Specification¶
The Batch Processing - Container resource are caluclated in CUs, and different specifictions correspond to different processing capabilities. The higher the specification in the same resource mode, the higher the processing efficiency, and the larger the amount of data processed per unit time.
| Specification | Calculation Capability | Business Reference |
|---|---|---|
| Standard | 1 CU | 1 CU = 1 vCore CPU + 2GB 内存 |
| Standard X2 | 2 CU | 2 CU = 2 vCore CPU + 4GB 内存 |
| Standard X3 | 3 CU | 3 CU = 3 vCore CPU + 6GB 内存 |
| Standard X4 | 4 CU | 4 CU = 4 vCore CPU + 8GB 内存 |