Struct PySparkJob 

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

A Dataproc job for running Apache PySpark (https://spark.apache.org/docs/latest/api/python/index.html#pyspark-overview) applications on YARN.

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

Fields

archive_uris: Option<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.Note: Spark applications must be deployed in cluster mode (https://spark.apache.org/docs/latest/cluster-overview.html) for correct environment propagation.

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 placed in the working directory of each executor. Useful for naively parallel tasks.

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.

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.

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 Dataproc API might be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.

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.

Trait Implementations

impl Clone for PySparkJob

fn clone(&self) -> PySparkJob

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for PySparkJob

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

Formats the value using the given formatter.

impl Default for PySparkJob

fn default() -> PySparkJob

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for PySparkJob

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for PySparkJob

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl Part for PySparkJob