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

update 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