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SparkBatch

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

A configuration for running an Apache Spark (https://spark.apache.org/) batch workload.

interface SparkBatch {
archiveUris?: string[];
args?: string[];
fileUris?: string[];
jarFileUris?: string[];
mainClass?: string;
mainJarFileUri?: 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.

§
args?: string[]
[src]

Optional. The arguments to pass to the driver. Do not include arguments that can be set as batch properties, such as --conf, since a collision can occur that causes an incorrect batch submission.

§
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 add to the classpath of the Spark driver and tasks.

§
mainClass?: string
[src]

Optional. The name of the driver main class. The jar file that contains the class must be in the classpath or specified in jar_file_uris.

§
mainJarFileUri?: string
[src]

Optional. The HCFS URI of the jar file that contains the main class.