WorkflowTemplateJobSparkJob constructor

const WorkflowTemplateJobSparkJob({ Input<List<String>?>? archiveUris, Input<List<String>?>? args, Input<List<String>?>? fileUris, Input<List<String>?>? jarFileUris, Input<WorkflowTemplateJobSparkJobLoggingConfig?>? loggingConfig, Input<String?>? mainClass, Input<String?>? mainJarFileUri, Input<Map<String, String>?>? properties, })

Creates a new WorkflowTemplateJobSparkJob. archiveUris 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 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. fileUris HCFS URIs of files to be placed in the working directory of each executor. Useful for naively parallel tasks. jarFileUris HCFS URIs of jar files to add to the CLASSPATHs of the Spark driver and tasks. loggingConfig The runtime log config for job execution. mainClass The name of the driver's main class. The jar file that contains the class must be in the default CLASSPATH or specified in jarFileUris. mainJarFileUri The HCFS URI of the jar file that contains the main class. properties A mapping of property names to values, used to configure Spark. Properties that conflict with values set by the Dataproc API may be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.

Implementation

const WorkflowTemplateJobSparkJob({
  this.archiveUris,
  this.args,
  this.fileUris,
  this.jarFileUris,
  this.loggingConfig,
  this.mainClass,
  this.mainJarFileUri,
  this.properties,
});