Struct SparkJob 

#[non_exhaustive]
pub struct SparkJob {
    pub args: Vec<String>,
    pub jar_file_uris: Vec<String>,
    pub file_uris: Vec<String>,
    pub archive_uris: Vec<String>,
    pub properties: HashMap<String, String>,
    pub logging_config: Option<LoggingConfig>,
    pub driver: Option<Driver>,
    /* private fields */
}

A Dataproc job for running Apache Spark applications on YARN.

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

args: 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.

jar_file_uris: Vec<String>

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

file_uris: Vec<String>

Optional. HCFS URIs of files to be placed in the working directory of each executor. Useful for naively parallel tasks.

archive_uris: Vec<String>

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.

properties: HashMap<String, String>

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

logging_config: Option<LoggingConfig>

Optional. The runtime log config for job execution.

driver: Option<Driver>

Required. The specification of the main method to call to drive the job. Specify either the jar file that contains the main class or the main class name. To pass both a main jar and a main class in that jar, add the jar to jarFileUris, and then specify the main class name in mainClass.

Implementations

impl SparkJob

pub fn new() -> Self

Creates a new default instance.

pub fn set_args<T, V>(self, v: T) -> Self

where T: IntoIterator<Item = V>, V: Into<String>,

Sets the value of args.

Example

let x = SparkJob::new().set_args(["a", "b", "c"]);

pub fn set_jar_file_uris<T, V>(self, v: T) -> Self

where T: IntoIterator<Item = V>, V: Into<String>,

Sets the value of jar_file_uris.

Example

let x = SparkJob::new().set_jar_file_uris(["a", "b", "c"]);

pub fn set_file_uris<T, V>(self, v: T) -> Self

where T: IntoIterator<Item = V>, V: Into<String>,

Sets the value of file_uris.

Example

let x = SparkJob::new().set_file_uris(["a", "b", "c"]);

pub fn set_archive_uris<T, V>(self, v: T) -> Self

where T: IntoIterator<Item = V>, V: Into<String>,

Sets the value of archive_uris.

Example

let x = SparkJob::new().set_archive_uris(["a", "b", "c"]);

pub fn set_properties<T, K, V>(self, v: T) -> Self

where T: IntoIterator<Item = (K, V)>, K: Into<String>, V: Into<String>,

Sets the value of properties.

Example

let x = SparkJob::new().set_properties([
    ("key0", "abc"),
    ("key1", "xyz"),
]);

pub fn set_logging_config<T>(self, v: T) -> Self

where T: Into<LoggingConfig>,

Sets the value of logging_config.

Example

use google_cloud_dataproc_v1::model::LoggingConfig;
let x = SparkJob::new().set_logging_config(LoggingConfig::default()/* use setters */);

pub fn set_or_clear_logging_config<T>(self, v: Option<T>) -> Self

where T: Into<LoggingConfig>,

Sets or clears the value of logging_config.

Example

use google_cloud_dataproc_v1::model::LoggingConfig;
let x = SparkJob::new().set_or_clear_logging_config(Some(LoggingConfig::default()/* use setters */));
let x = SparkJob::new().set_or_clear_logging_config(None::<LoggingConfig>);

pub fn set_driver<T: Into<Option<Driver>>>(self, v: T) -> Self

Sets the value of driver.

Note that all the setters affecting driver are mutually exclusive.

Example

use google_cloud_dataproc_v1::model::spark_job::Driver;
let x = SparkJob::new().set_driver(Some(Driver::MainJarFileUri("example".to_string())));

pub fn main_jar_file_uri(&self) -> Option<&String>

The value of driver if it holds a MainJarFileUri, None if the field is not set or holds a different branch.

pub fn set_main_jar_file_uri<T: Into<String>>(self, v: T) -> Self

Sets the value of driver to hold a MainJarFileUri.

Note that all the setters affecting driver are mutually exclusive.

Example

let x = SparkJob::new().set_main_jar_file_uri("example");
assert!(x.main_jar_file_uri().is_some());
assert!(x.main_class().is_none());

pub fn main_class(&self) -> Option<&String>

The value of driver if it holds a MainClass, None if the field is not set or holds a different branch.

pub fn set_main_class<T: Into<String>>(self, v: T) -> Self

Sets the value of driver to hold a MainClass.

Note that all the setters affecting driver are mutually exclusive.

Example

let x = SparkJob::new().set_main_class("example");
assert!(x.main_class().is_some());
assert!(x.main_jar_file_uri().is_none());

Trait Implementations

impl Clone for SparkJob

fn clone(&self) -> SparkJob

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for SparkJob

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for SparkJob

fn default() -> SparkJob

Returns the “default value” for a type.

impl Message for SparkJob

fn typename() -> &'static str

The typename of this message.

impl PartialEq for SparkJob

fn eq(&self, other: &SparkJob) -> bool

Equality operator ==.

fn ne(&self, other: &Rhs) -> bool

Inequality operator !=.

impl StructuralPartialEq for SparkJob