Struct aws_sdk_glue::input::StartJobRunInput

source ·

#[non_exhaustive]
pub struct StartJobRunInput { /* private fields */ }

Implementations§

source §

impl StartJobRunInput

source

pub async fn make_operation(
&self,
_config: &Config
) -> Result<Operation<StartJobRun, AwsResponseRetryClassifier>, BuildError>

Consumes the builder and constructs an Operation<StartJobRun>

source

pub fn builder() -> Builder

Creates a new builder-style object to manufacture StartJobRunInput.

source §

impl StartJobRunInput

source

pub fn job_name(&self) -> Option<&str>

The name of the job definition to use.

source

pub fn job_run_id(&self) -> Option<&str>

The ID of a previous JobRun to retry.

source

pub fn arguments(&self) -> Option<&HashMap<String, String>>

The job arguments specifically for this run. For this job run, they replace the default arguments set in the job definition itself.

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

Job arguments may be logged. Do not pass plaintext secrets as arguments. Retrieve secrets from a Glue Connection, Secrets Manager or other secret management mechanism if you intend to keep them within the Job.

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.

source

pub fn allocated_capacity(&self) -> i32

👎Deprecated: This property is deprecated, use MaxCapacity instead.

This field is deprecated. Use MaxCapacity instead.

The number of Glue data processing units (DPUs) to allocate to this JobRun. You can allocate a minimum of 2 DPUs; the default is 10. 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.

source

pub fn timeout(&self) -> Option<i32>

The JobRun timeout in minutes. This is the maximum time that a job run can consume resources before it is terminated and enters TIMEOUT status. This value overrides the timeout value set in the parent job.

Streaming jobs do not have a timeout. The default for non-streaming jobs is 2,880 minutes (48 hours).

source

pub fn max_capacity(&self) -> Option<f64>

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, 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 a minimum of 2 DPUs. The default is 10 DPUs. This job type cannot have a fractional DPU allocation.

source

pub fn security_configuration(&self) -> Option<&str>

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

source

pub fn notification_property(&self) -> Option<&NotificationProperty>

Specifies configuration properties of a job run notification.

source

pub fn worker_type(&self) -> Option<&WorkerType>

The type of predefined worker that is allocated when a job runs. Accepts a value of Standard, G.1X, G.2X, or G.025X.

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 provides 4 vCPU, 16 GB of memory and a 64GB disk, and 1 executor per worker.
For the G.2X worker type, each worker provides 8 vCPU, 32 GB of memory and a 128GB disk, and 1 executor per worker.
For the G.025X worker type, each worker maps to 0.25 DPU (2 vCPU, 4 GB of memory, 64 GB disk), and provides 1 executor per worker. We recommend this worker type for low volume streaming jobs. This worker type is only available for Glue version 3.0 streaming jobs.

source

pub fn number_of_workers(&self) -> Option<i32>

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

source

pub fn execution_class(&self) -> Option<&ExecutionClass>

Indicates whether the job is run with a standard or flexible execution class. The standard execution-class is ideal for time-sensitive workloads that require fast job startup and dedicated resources.

The flexible execution class is appropriate for time-insensitive jobs whose start and completion times may vary.

Only jobs with Glue version 3.0 and above and command type glueetl will be allowed to set ExecutionClass to FLEX. The flexible execution class is available for Spark jobs.