Struct google_dataproc1::PySparkJob [−][src]
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
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impl Default for PySparkJob
fn default() -> PySparkJob
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fn default() -> PySparkJob
Returns the "default value" for a type. Read more
impl Clone for PySparkJob
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impl Clone for PySparkJob
fn clone(&self) -> PySparkJob
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fn clone(&self) -> PySparkJob
Returns a copy of the value. Read more
fn clone_from(&mut self, source: &Self)
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fn clone_from(&mut self, source: &Self)
Performs copy-assignment from source
. Read more
impl Debug for PySparkJob
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impl Debug for PySparkJob
fn fmt(&self, f: &mut Formatter) -> Result
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fn fmt(&self, f: &mut Formatter) -> Result
Formats the value using the given formatter. Read more
impl Part for PySparkJob
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impl Part for PySparkJob
Auto Trait Implementations
impl Send for PySparkJob
impl Send for PySparkJob
impl Sync for PySparkJob
impl Sync for PySparkJob