Struct rusoto_glue::JobUpdate

pub struct JobUpdate {
    pub command: Option<JobCommand>,
    pub connections: Option<ConnectionsList>,
    pub default_arguments: Option<HashMap<String, String>>,
    pub description: Option<String>,
    pub execution_property: Option<ExecutionProperty>,
    pub glue_version: Option<String>,
    pub log_uri: Option<String>,
    pub max_capacity: Option<f64>,
    pub max_retries: Option<i64>,
    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>,
}

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

Fields

command: Option<JobCommand>

The JobCommand that executes this job (required).

connections: Option<ConnectionsList>

The connections used for this job.

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 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>

Description of the job being defined.

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 AWS Glue supports. The Python version indicates the version supported for jobs of type Spark.

For more information about the available AWS Glue versions and corresponding Spark and Python versions, see Glue version in the developer guide.

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") 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.

max_retries: Option<i64>

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

non_overridable_arguments: Option<HashMap<String, String>>

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

notification_property: Option<NotificationProperty>

Specifies the 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 (required).

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 Clone for JobUpdate

pub fn clone(&self) -> JobUpdate

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for JobUpdate

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

Formats the value using the given formatter.

impl Default for JobUpdate

pub fn default() -> JobUpdate

Returns the "default value" for a type.

impl PartialEq<JobUpdate> for JobUpdate

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

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

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

This method tests for !=.

impl Serialize for JobUpdate

pub fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error> where
    __S: Serializer, 

Serialize this value into the given Serde serializer.

impl StructuralPartialEq for JobUpdate