Struct gcp_client::google::cloud::dataproc::v1beta2::SparkJob

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>,
}

A Dataproc job for running Apache Spark applications on YARN. 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 CommonJob.jar_file_uris, and then specify the main class name in main_class.

Fields

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 copied to the working directory of Spark drivers and distributed tasks. Useful for naively parallel tasks.

archive_uris: 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.

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 may 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>

Trait Implementations

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, 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 encode_raw<B>(&self, buf: &mut B) where
    B: BufMut, 

fn merge_field<B>(
    &mut self,
    tag: u32,
    wire_type: WireType,
    buf: &mut B,
    ctx: DecodeContext
) -> Result<(), DecodeError> where
    B: Buf, 

fn encoded_len(&self) -> usize

Returns the encoded length of the message without a length delimiter.

fn clear(&mut self)

Clears the message, resetting all fields to their default.

fn encode<B>(&self, buf: &mut B) -> Result<(), EncodeError> where
    B: BufMut, 

Encodes the message to a buffer.

fn encode_length_delimited<B>(&self, buf: &mut B) -> Result<(), EncodeError> where
    B: BufMut, 

Encodes the message with a length-delimiter to a buffer.

fn decode<B>(buf: B) -> Result<Self, DecodeError> where
    B: Buf,
    Self: Default, 

Decodes an instance of the message from a buffer.

fn decode_length_delimited<B>(buf: B) -> Result<Self, DecodeError> where
    B: Buf,
    Self: Default, 

Decodes a length-delimited instance of the message from the buffer.

fn merge<B>(&mut self, buf: B) -> Result<(), DecodeError> where
    B: Buf, 

Decodes an instance of the message from a buffer, and merges it into self.

fn merge_length_delimited<B>(&mut self, buf: B) -> Result<(), DecodeError> where
    B: Buf, 

Decodes a length-delimited instance of the message from buffer, and merges it into self.

impl PartialEq<SparkJob> for SparkJob

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

This method tests for self and other values to be equal, and is used by ==.

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

This method tests for !=.

impl StructuralPartialEq for SparkJob