Struct google_dataproc1::SparkJob

pub struct SparkJob {
    pub jar_file_uris: Option<Vec<String>>,
    pub logging_config: Option<LoggingConfig>,
    pub args: Option<Vec<String>>,
    pub file_uris: Option<Vec<String>>,
    pub main_class: Option<String>,
    pub archive_uris: Option<Vec<String>>,
    pub main_jar_file_uri: Option<String>,
    pub properties: Option<HashMap<String, String>>,
}

A Cloud Dataproc job for running Apache Spark applications on YARN.

This type is not used in any activity, and only used as part of another schema.

Fields

jar_file_uris: Option<Vec<String>>

[Optional] HCFS URIs of jar files to add to the CLASSPATHs of the Spark driver and tasks.

logging_config: Option<LoggingConfig>

[Optional] The runtime log config for job execution.

args: Option<Vec<String>>

[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.

file_uris: Option<Vec<String>>

[Optional] HCFS URIs of files to be copied to the working directory of Spark drivers and distributed tasks. Useful for naively parallel tasks.

main_class: Option<String>

The name of the driver's main class. The jar file that contains the class must be in the default CLASSPATH or specified in jar_file_uris.

archive_uris: Option<Vec<String>>

[Optional] HCFS URIs of archives to be extracted in the working directory of Spark drivers and tasks. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip.

main_jar_file_uri: Option<String>

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

properties: Option<HashMap<String, String>>

[Optional] A mapping of property names to values, used to configure Spark. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.

Trait Implementations

impl Default for SparkJob

fn default() -> SparkJob

Returns the "default value" for a type.

impl Clone for SparkJob

fn clone(&self) -> SparkJob

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for SparkJob

fn fmt(&self, __arg_0: &mut Formatter) -> Result

Formats the value using the given formatter.

impl Part for SparkJob