Binding Compute Resources

Constraints

• Only MRS Spark and Fabric SQL data types are supported.
• You can bind compute resources only if you are the administrator, a developer, or an operator of a workspace, or if you have the DAYU Administrator or Tenant Administrator permissions.
• To bind the MRS Spark compute engine, you must create an MRS Spark cluster of version 3.3.1 or later first.
• When notebook jobs are interconnected with MRS Spark, individual-based fine-grained data permission control is not supported.

Procedure

1. On the notebook development page, click the default engine Python (independent of compute resources) or another compute engine in the upper right corner.
2. Select Bind Compute Resource from the drop-down list box.

   Table 1 Parameters for binding a compute resource

   Parameter	Description
   Resource Type	MRS Spark Fabric SQL
   Resource Name	Name of the resource
   MRS Cluster	This parameter is mandatory when MRS Spark is selected for Resource Type. Select an MRS cluster. For details about how to buy an MRS cluster, see Buying MRS Clusters. After the MRS cluster is created, you can view the basic information about the MRS cluster in Active Clusters.
   Workspace	This parameter is mandatory when Fabric SQL is selected for Resource Type. A workspace is the basic unit of Fabric. Select a workspace for Fabric SQL. You can create a resource workspace on the DataArts Fabric console. For details about how to create a workspace, see Creating a Workspace.
   Endpoint	This parameter is mandatory when Fabric SQL is selected for Resource Type. It specifies the compute resources required for executing SQL tasks. Select an endpoint after selecting a compute resource workspace. For details about how to create a SQL endpoint, see Creating a SQL Endpoint.

3. Click OK to bind the compute resource.

   You can view the bound compute resource by referring to Managing Notebook Resources. You can also bind compute resources by referring to Managing Notebook Resources.