Struct google_api_proto::google::cloud::dataproc::v1::HadoopJob

pub struct HadoopJob {
    pub args: Vec<String>,
    pub jar_file_uris: Vec<String>,
    pub file_uris: Vec<String>,
    pub archive_uris: Vec<String>,
    pub properties: BTreeMap<String, String>,
    pub logging_config: Option<LoggingConfig>,
    pub driver: Option<Driver>,
}

A Dataproc job for running Apache Hadoop MapReduce jobs on Apache Hadoop YARN.

Fields

args: Vec<String>

Optional. The arguments to pass to the driver. Do not include arguments, such as -libjars or -Dfoo=bar, that can be set as job properties, since a collision may occur that causes an incorrect job submission.

jar_file_uris: Vec<String>

Optional. Jar file URIs to add to the CLASSPATHs of the Hadoop driver and tasks.

file_uris: Vec<String>

Optional. HCFS (Hadoop Compatible Filesystem) URIs of files to be copied to the working directory of Hadoop 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 Hadoop drivers and tasks. Supported file types: .jar, .tar, .tar.gz, .tgz, or .zip.

properties: BTreeMap<String, String>

Optional. A mapping of property names to values, used to configure Hadoop. Properties that conflict with values set by the Dataproc API may be overwritten. Can include properties set in /etc/hadoop/conf/*-site and classes in user code.

logging_config: Option<LoggingConfig>

Optional. The runtime log config for job execution.

driver: Option<Driver>

Required. Indicates the location of the driver’s main class. Specify either the jar file that contains the main class or the main class name. To specify both, add the jar file to jar_file_uris, and then specify the main class name in this property.

Trait Implementations

impl Clone for HadoopJob

fn clone(&self) -> HadoopJob

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for HadoopJob

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

Formats the value using the given formatter.

impl Default for HadoopJob

fn default() -> Self

Returns the “default value” for a type.

impl Message for HadoopJob

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(&self, buf: &mut impl BufMut) -> Result<(), EncodeError>

where Self: Sized,

Encodes the message to a buffer.

fn encode_to_vec(&self) -> Vec<u8>

where Self: Sized,

Encodes the message to a newly allocated buffer.

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

where Self: Sized,

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

fn encode_length_delimited_to_vec(&self) -> Vec<u8>

where Self: Sized,

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

fn decode(buf: impl Buf) -> Result<Self, DecodeError>

where Self: Default,

Decodes an instance of the message from a buffer.

fn decode_length_delimited(buf: impl Buf) -> Result<Self, DecodeError>

where Self: Default,

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

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

where Self: Sized,

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

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

where Self: Sized,

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

impl PartialEq for HadoopJob

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

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

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

This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for HadoopJob