Struct google_dataproc1::api::SparkBatch
source · pub struct SparkBatch {
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_class: Option<String>,
pub main_jar_file_uri: Option<String>,
}
Expand description
A configuration for running an Apache Spark (https://spark.apache.org/) 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_class: Option<String>
Optional. The name of the driver main class. The jar file that contains the class must be in the classpath or specified in jar_file_uris.
main_jar_file_uri: Option<String>
Optional. The HCFS URI of the jar file that contains the main class.
Trait Implementations§
source§impl Clone for SparkBatch
impl Clone for SparkBatch
source§fn clone(&self) -> SparkBatch
fn clone(&self) -> SparkBatch
1.0.0 · source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
source
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