PySparkNotebookBatch

import type { PySparkNotebookBatch } from "https://googleapis.deno.dev/v1/dataproc:v1.ts";

A configuration for running a PySpark Notebook batch workload.

interface PySparkNotebookBatch {

archiveUris?: string[];

fileUris?: string[];

jarFileUris?: string[];

notebookFileUri?: string;

params?: {

[key: string]: string;

};

pythonFileUris?: string[];

}

§Properties

archiveUris?: string[]

[src]

Optional. HCFS URIs of archives to be extracted into the working directory of each executor. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.

fileUris?: string[]

[src]

Optional. HCFS URIs of files to be placed in the working directory of each executor

jarFileUris?: string[]

[src]

Optional. HCFS URIs of jar files to be added to the Spark CLASSPATH.

notebookFileUri?: string

[src]

Required. The HCFS URI of the notebook file to execute.

params?: {

[key: string]: string;

}

[src]

Optional. The parameters to pass to the notebook.

pythonFileUris?: string[]

[src]

Optional. HCFS URIs of Python files to pass to the PySpark framework.