SparkJob
import type { SparkJob } from "https://googleapis.deno.dev/v1/dataproc:v1.ts";A Dataproc job for running Apache Spark (https://spark.apache.org/) applications on YARN.
interface SparkJob {
archiveUris?: string[];
args?: string[];
fileUris?: string[];
jarFileUris?: string[];
loggingConfig?: LoggingConfig;
mainClass?: string;
mainJarFileUri?: string;
properties?: {};
}[key: string]: string;
§Properties
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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.
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args?: string[]
[src]Optional. The arguments to pass to the driver. Do not include arguments, such as --conf, that can be set as job properties, since a collision may occur that causes an incorrect job submission.
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fileUris?: string[]
[src]Optional. HCFS URIs of files to be placed in the working directory of each executor. Useful for naively parallel tasks.
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jarFileUris?: string[]
[src]Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Spark driver and tasks.
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loggingConfig?: LoggingConfig
[src]Optional. The runtime log config for job execution.