Struct google_dataproc1::PySparkJob

pub struct PySparkJob {
    pub main_python_file_uri: Option<String>,
    pub jar_file_uris: Option<Vec<String>>,
    pub logging_config: Option<LoggingConfig>,
    pub args: Option<Vec<String>>,
    pub file_uris: Option<Vec<String>>,
    pub archive_uris: Option<Vec<String>>,
    pub python_file_uris: Option<Vec<String>>,
    pub properties: Option<HashMap<String, String>>,
}

A Cloud Dataproc job for running Apache PySpark (https://spark.apache.org/docs/0.9.0/python-programming-guide.html) applications on YARN.

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

Fields

main_python_file_uri: Option<String>

Required. The HCFS URI of the main Python file to use as the driver. Must be a .py file.

jar_file_uris: Option<Vec<String>>

Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Python 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 Python drivers and distributed tasks. Useful for naively parallel tasks.

archive_uris: Option<Vec<String>>

Optional. HCFS URIs of archives to be extracted in the working directory of .jar, .tar, .tar.gz, .tgz, and .zip.

python_file_uris: Option<Vec<String>>

Optional. HCFS file URIs of Python files to pass to the PySpark framework. Supported file types: .py, .egg, and .zip.

properties: Option<HashMap<String, String>>

Optional. A mapping of property names to values, used to configure PySpark. 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 PySparkJob

fn default() -> PySparkJob

Returns the "default value" for a type.

impl Clone for PySparkJob

fn clone(&self) -> PySparkJob

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for PySparkJob

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

Formats the value using the given formatter.

impl Part for PySparkJob