Platform For AI:CreatePipeline

Sample pipeline definition: The pipeline consists of a read table node data_source and a data type conversion node type_transform.

apiVersion: "core/v1"
metadata:
  provider: "166233998075****"
  version: "v1"
  identifier: "my_pipeline"
  name: "source-transform"
spec:
  inputs:
    parameters:
    - name: "execution_maxcompute"
      value:
        spec:
          endpoint: "http://service.cn.maxcompute.aliyun-inc.com/api"
          odpsProject: "test_i****"
      type: "Map"
  pipelines:
  - apiVersion: "core/v1"
    metadata:
      provider: "pai"
      version: "v1"
      identifier: "data_source"
      name: "data-source"
      displayName: "Read Table-1"
    spec:
      arguments:
        parameters:
        - name: "inputTableName"
          value: "pai_online_project.wumai_data"
        - name: "execution"
          from: "{{inputs.parameters.execution_maxcompute}}"
  - apiVersion: "core/v1"
    metadata:
      provider: "pai"
      version: "v1"
      identifier: "type_transform"
      name: "type-transform"
      displayName: "Data Type Conversion-1"
    spec:
      arguments:
        artifacts:
        - name: "inputTable"
          from: "{{pipelines.data_source.outputs.artifacts.outputTable}}"
        parameters:
        - name: "cols_to_double"
          value: "time,hour,pm2,pm10,so2,co,no2"
        - name: "execution"
          from: "{{inputs.parameters.execution_maxcompute}}"
      dependencies:
      - "data_source"

Key parameter configurations in the sample pipeline definition:

• provider: Replace the value of this parameter with your account ID.

• odpsProject: Replace the value of this parameter with the name of the MaxCompute resource that is associated with the workspace. For more information about how to obtain the name of the MaxCompute resource, see Manage workspaces.