Struct rusoto_glue::Job

pub struct Job {
    pub command: Option<JobCommand>,
    pub connections: Option<ConnectionsList>,
    pub created_on: Option<f64>,
    pub default_arguments: Option<HashMap<String, String>>,
    pub description: Option<String>,
    pub execution_property: Option<ExecutionProperty>,
    pub last_modified_on: Option<f64>,
    pub log_uri: Option<String>,
    pub max_capacity: Option<f64>,
    pub max_retries: Option<i64>,
    pub name: Option<String>,
    pub notification_property: Option<NotificationProperty>,
    pub number_of_workers: Option<i64>,
    pub role: Option<String>,
    pub security_configuration: Option<String>,
    pub timeout: Option<i64>,
    pub worker_type: Option<String>,
}

Specifies a job definition.

Fields

command: Option<JobCommand>

The JobCommand that executes this job.

connections: Option<ConnectionsList>

The connections used for this job.

created_on: Option<f64>

The time and date that this job definition was created.

default_arguments: Option<HashMap<String, String>>

The default arguments for this job, specified as name-value pairs.

You can specify arguments here that your own job-execution script consumes, as well as arguments that AWS Glue itself consumes.

For information about how to specify and consume your own Job arguments, see the Calling AWS Glue APIs in Python topic in the developer guide.

For information about the key-value pairs that AWS Glue consumes to set up your job, see the Special Parameters Used by AWS Glue topic in the developer guide.

description: Option<String>

A description of the job.

execution_property: Option<ExecutionProperty>

An ExecutionProperty specifying the maximum number of concurrent runs allowed for this job.

last_modified_on: Option<f64>

The last point in time when this job definition was modified.

log_uri: Option<String>

This field is reserved for future use.

max_capacity: Option<f64>

The number of AWS Glue data processing units (DPUs) that can be allocated when this job runs. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory. For more information, see the AWS Glue pricing page.

Do not set Max Capacity if using WorkerType and NumberOfWorkers.

The value that can be allocated for MaxCapacity depends on whether you are running a Python shell job or an Apache Spark ETL job:

• When you specify a Python shell job (JobCommand.Name="pythonshell"), you can allocate either 0.0625 or 1 DPU. The default is 0.0625 DPU.

• When you specify an Apache Spark ETL job (JobCommand.Name="glueetl"), you can allocate from 2 to 100 DPUs. The default is 10 DPUs. This job type cannot have a fractional DPU allocation.

max_retries: Option<i64>

The maximum number of times to retry this job after a JobRun fails.

name: Option<String>

The name you assign to this job definition.

notification_property: Option<NotificationProperty>

Specifies configuration properties of a job notification.

number_of_workers: Option<i64>

The number of workers of a defined workerType that are allocated when a job runs.

The maximum number of workers you can define are 299 for G.1X, and 149 for G.2X.

role: Option<String>

The name or Amazon Resource Name (ARN) of the IAM role associated with this job.

security_configuration: Option<String>

The name of the SecurityConfiguration structure to be used with this job.

timeout: Option<i64>

The job timeout in minutes. This is the maximum time that a job run can consume resources before it is terminated and enters TIMEOUT status. The default is 2,880 minutes (48 hours).

worker_type: Option<String>

The type of predefined worker that is allocated when a job runs. Accepts a value of Standard, G.1X, or G.2X.

• For the Standard worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2 executors per worker.

• For the G.1X worker type, each worker maps to 1 DPU (4 vCPU, 16 GB of memory, 64 GB disk), and provides 1 executor per worker. We recommend this worker type for memory-intensive jobs.

• For the G.2X worker type, each worker maps to 2 DPU (8 vCPU, 32 GB of memory, 128 GB disk), and provides 1 executor per worker. We recommend this worker type for memory-intensive jobs.

Trait Implementations

impl PartialEq<Job> for Job

fn eq(&self, other: &Job) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Job) -> bool

This method tests for !=.

impl Default for Job

fn default() -> Job

Returns the "default value" for a type.

impl Clone for Job

fn clone(&self) -> Job

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for Job

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for Job

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error> where
    __D: Deserializer<'de>, 

Deserialize this value from the given Serde deserializer.