Struct rusoto_glue::Job
source · [−]pub struct Job {Show 19 fields
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 glue_version: Option<String>,
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 non_overridable_arguments: Option<HashMap<String, 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>,
}
Expand description
Specifies a job definition.
Fields
command: Option<JobCommand>
The JobCommand
that runs 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 Glue itself consumes.
For information about how to specify and consume your own Job arguments, see the Calling Glue APIs in Python topic in the developer guide.
For information about the key-value pairs that Glue consumes to set up your job, see the Special Parameters Used by 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.
glue_version: Option<String>
Glue version determines the versions of Apache Spark and Python that Glue supports. The Python version indicates the version supported for jobs of type Spark.
For more information about the available Glue versions and corresponding Spark and Python versions, see Glue version in the developer guide.
Jobs that are created without specifying a Glue version default to Glue 0.9.
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>
For Glue version 1.0 or earlier jobs, using the standard worker type, the number of 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 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, an Apache Spark ETL job, or an Apache Spark streaming 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") or Apache Spark streaming ETL job (JobCommand.Name
="gluestreaming"), you can allocate from 2 to 100 DPUs. The default is 10 DPUs. This job type cannot have a fractional DPU allocation.
For Glue version 2.0 jobs, you cannot instead specify a Maximum capacity
. Instead, you should specify a Worker type
and the Number of workers
.
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.
non_overridable_arguments: Option<HashMap<String, String>>
Non-overridable arguments for this job, specified as name-value pairs.
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
sourceimpl<'de> Deserialize<'de> for Job
impl<'de> Deserialize<'de> for Job
sourcefn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error> where
__D: Deserializer<'de>,
fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error> where
__D: Deserializer<'de>,
Deserialize this value from the given Serde deserializer. Read more
impl StructuralPartialEq for Job
Auto Trait Implementations
impl RefUnwindSafe for Job
impl Send for Job
impl Sync for Job
impl Unpin for Job
impl UnwindSafe for Job
Blanket Implementations
sourceimpl<T> BorrowMut<T> for T where
T: ?Sized,
impl<T> BorrowMut<T> for T where
T: ?Sized,
const: unstable · sourcefn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more
sourceimpl<T> Instrument for T
impl<T> Instrument for T
sourcefn instrument(self, span: Span) -> Instrumented<Self>
fn instrument(self, span: Span) -> Instrumented<Self>
sourcefn in_current_span(self) -> Instrumented<Self>
fn in_current_span(self) -> Instrumented<Self>
sourceimpl<T> ToOwned for T where
T: Clone,
impl<T> ToOwned for T where
T: Clone,
type Owned = T
type Owned = T
The resulting type after obtaining ownership.
sourcefn clone_into(&self, target: &mut T)
fn clone_into(&self, target: &mut T)
toowned_clone_into
)Uses borrowed data to replace owned data, usually by cloning. Read more
sourceimpl<T> WithSubscriber for T
impl<T> WithSubscriber for T
sourcefn with_subscriber<S>(self, subscriber: S) -> WithDispatch<Self> where
S: Into<Dispatch>,
fn with_subscriber<S>(self, subscriber: S) -> WithDispatch<Self> where
S: Into<Dispatch>,
Attaches the provided Subscriber
to this type, returning a
WithDispatch
wrapper. Read more
sourcefn with_current_subscriber(self) -> WithDispatch<Self>
fn with_current_subscriber(self) -> WithDispatch<Self>
Attaches the current default Subscriber
to this type, returning a
WithDispatch
wrapper. Read more