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Possible values are as follows: JAR: JAR file PyFile: User Python file File: User file ModelFile: User AI model file JAR OBS Path Select the OBS path of the corresponding package. NOTE: The program package must be uploaded to OBS in advance. Only files can be selected.
Figure 1 Creating a package Table 1 Parameter description Parameter Description Package Type The following package types are supported: JAR: JAR file PyFile: User Python file File: User file ModelFile: User AI model file Package File Path Select the OBS path of the corresponding packages
The options are as follows: jar: JAR file pyFile: User Python file file: User file modelFile: User AI model file tags No String Specifies a label for filtering.
The OBS object path refers to the OBS object URL. kind Yes String File type of a package group. jar: JAR file pyFile: User Python file file: User file modelFile: User AI model file NOTE: If the same group of packages to be uploaded contains different file types, select file as the
Type of the Spark image used by a job. basic: indicates that the basic Spark image provided by DLI is used. custom: indicates that the user-defined Spark image is used. ai: indicates that the AI image provided by DLI is used. spark_version No String Version of the Spark component
The options are as follows: jar: JAR file Pyfile: User Python file file: User file modelfile: User AI model file obs_jar_paths: OBS path of the resource package. The parameter format is {bucketName}.{obs domain name}/{jarPath}/{jarName}.
The options are as follows: jar: JAR file Pyfile: User Python file file: User file modelfile: User AI model file paths: OBS path of the resource package. The parameter format is {bucketName}.
The following package types are supported: JAR: JAR file PyFile: User Python file File: User file ModelFile: User AI model file Status Status of the package to be created. Uploading: The file is being uploaded. Finished: The resource package has been uploaded.
The following types of packages can be uploaded: JAR: JAR file PyFile: User Python file File: User file ModelFile: User AI model file Enhanced Datasource Connections For more notes and constraints on enhanced datasource connections, see Enhanced Datasource Connection Overview.
Type of the Spark image used by a job. basic: indicates that the basic Spark image provided by DLI is used. custom: indicates that the user-defined Spark image is used. ai: indicates that the AI image provided by DLI is used. spark_version String Version of the Spark component If
NOTE: AI-enhanced means that the queue is loaded with an AI image that integrates algorithm packages related to AI on top of the basic image. tags No Array of objects Queue tags for identifying cloud resources. A tag consists of a key and tag value.
NOTE: AI-enhanced means that the queue is loaded with an AI image that integrates algorithm packages related to AI on top of the basic image. resource_type No String Type of the resource to which a queue belongs. vm: ECF cluster container: container cluster (Kubernetes) cu_spec No