Struct PySparkBatch

pub struct PySparkBatch {
    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 main_python_file_uri: Option<String>,
    pub python_file_uris: Option<Vec<String>>,
}

A configuration for running an Apache PySpark (https://spark.apache.org/docs/latest/api/python/getting_started/quickstart.html) batch workload.

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.

args: Option<Vec<String>>

Optional. The arguments to pass to the driver. Do not include arguments that can be set as batch properties, such as –conf, since a collision can occur that causes an incorrect batch submission.

file_uris: Option<Vec<String>>

Optional. HCFS URIs of files to be placed in the working directory of each executor.

jar_file_uris: Option<Vec<String>>

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

main_python_file_uri: Option<String>

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

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 PySparkBatch

fn clone(&self) -> PySparkBatch

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for PySparkBatch

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

Formats the value using the given formatter.

impl Default for PySparkBatch

fn default() -> PySparkBatch

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for PySparkBatch

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for PySparkBatch

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 PySparkBatch