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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 descriptions 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
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
Range 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 Definition Version of the Spark component used by a job.
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
Constraints None Range None Default Value None feature No String Definition Type of images used by the queue Constraints None Range basic: basic type ai: AI-enhanced (available only for SQL x86_64 dedicated queues). An AI image is loaded to the queue.
NOTE: AI-enhanced means that the queue is loaded with an AI image that integrates algorithm packages related to AI on top of the base image. queue_resource_type No String Type of the resource to which a queue belongs. vm: ECF cluster container: container cluster (Kubernetes) cu_spec
