Struct aws_sdk_glue::model::JobUpdate

#[non_exhaustive]
pub struct JobUpdate {

    pub description: Option<String>,
    pub log_uri: Option<String>,
    pub role: Option<String>,
    pub execution_property: Option<ExecutionProperty>,
    pub command: Option<JobCommand>,
    pub default_arguments: Option<HashMap<String, String>>,
    pub non_overridable_arguments: Option<HashMap<String, String>>,
    pub connections: Option<ConnectionsList>,
    pub max_retries: i32,
    pub allocated_capacity: i32,
    pub timeout: Option<i32>,
    pub max_capacity: Option<f64>,
    pub worker_type: Option<WorkerType>,
    pub number_of_workers: Option<i32>,
    pub security_configuration: Option<String>,
    pub notification_property: Option<NotificationProperty>,
    pub glue_version: Option<String>,
}

Specifies information used to update an existing job definition. The previous job definition is completely overwritten by this information.

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

description: Option<String>

Description of the job being defined.

log_uri: Option<String>

This field is reserved for future use.

role: Option<String>

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

execution_property: Option<ExecutionProperty>

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

command: Option<JobCommand>

The JobCommand that runs this job (required).

default_arguments: Option<HashMap<String, String>>

The default arguments for this job.

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.

non_overridable_arguments: Option<HashMap<String, String>>

Non-overridable arguments for this job, specified as name-value pairs.

connections: Option<ConnectionsList>

The connections used for this job.

max_retries: i32

The maximum number of times to retry this job if it fails.

allocated_capacity: i32

This field is deprecated. Use MaxCapacity instead.

The number of Glue data processing units (DPUs) to allocate to this job. You can allocate from 2 to 100 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.

timeout: Option<i32>

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).

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 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") 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.

worker_type: Option<WorkerType>

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.

number_of_workers: Option<i32>

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.

security_configuration: Option<String>

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

notification_property: Option<NotificationProperty>

Specifies the configuration properties of a job notification.

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.

Implementations

impl JobUpdate

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

Description of the job being defined.

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

This field is reserved for future use.

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

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

pub fn execution_property(&self) -> Option<&ExecutionProperty>

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

pub fn command(&self) -> Option<&JobCommand>

The JobCommand that runs this job (required).

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

The default arguments for this job.

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.

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

Non-overridable arguments for this job, specified as name-value pairs.

pub fn connections(&self) -> Option<&ConnectionsList>

The connections used for this job.

pub fn max_retries(&self) -> i32

The maximum number of times to retry this job if it fails.

pub fn allocated_capacity(&self) -> i32

This field is deprecated. Use MaxCapacity instead.

The number of Glue data processing units (DPUs) to allocate to this job. You can allocate from 2 to 100 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.

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

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).

pub fn max_capacity(&self) -> 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 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") 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.

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, 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.

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

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.

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

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

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

Specifies the configuration properties of a job notification.

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

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.

impl JobUpdate

pub fn builder() -> Builder

Creates a new builder-style object to manufacture JobUpdate

Trait Implementations

impl Clone for JobUpdate

fn clone(&self) -> JobUpdate

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for JobUpdate

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

Formats the value using the given formatter.

impl PartialEq<JobUpdate> for JobUpdate

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

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

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

This method tests for !=.

impl StructuralPartialEq for JobUpdate