Struct aws_sdk_glue::model::JobRun
source · #[non_exhaustive]pub struct JobRun { /* private fields */ }Expand description
Contains information about a job run.
Implementations§
source§impl JobRun
impl JobRun
sourcepub fn previous_run_id(&self) -> Option<&str>
pub fn previous_run_id(&self) -> Option<&str>
The ID of the previous run of this job. For example, the JobRunId specified in the StartJobRun action.
sourcepub fn trigger_name(&self) -> Option<&str>
pub fn trigger_name(&self) -> Option<&str>
The name of the trigger that started this job run.
sourcepub fn started_on(&self) -> Option<&DateTime>
pub fn started_on(&self) -> Option<&DateTime>
The date and time at which this job run was started.
sourcepub fn last_modified_on(&self) -> Option<&DateTime>
pub fn last_modified_on(&self) -> Option<&DateTime>
The last time that this job run was modified.
sourcepub fn completed_on(&self) -> Option<&DateTime>
pub fn completed_on(&self) -> Option<&DateTime>
The date and time that this job run completed.
sourcepub fn job_run_state(&self) -> Option<&JobRunState>
pub fn job_run_state(&self) -> Option<&JobRunState>
The current state of the job run. For more information about the statuses of jobs that have terminated abnormally, see Glue Job Run Statuses.
sourcepub fn arguments(&self) -> Option<&HashMap<String, String>>
pub fn arguments(&self) -> Option<&HashMap<String, String>>
The job arguments associated with 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.
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.
sourcepub fn error_message(&self) -> Option<&str>
pub fn error_message(&self) -> Option<&str>
An error message associated with this job run.
sourcepub fn predecessor_runs(&self) -> Option<&[Predecessor]>
pub fn predecessor_runs(&self) -> Option<&[Predecessor]>
A list of predecessors to this job run.
sourcepub fn allocated_capacity(&self) -> i32
👎Deprecated: This property is deprecated, use MaxCapacity instead.
pub fn allocated_capacity(&self) -> i32
This field is deprecated. Use MaxCapacity instead.
The number of Glue data processing units (DPUs) allocated to this JobRun. From 2 to 100 DPUs can be allocated; 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.
sourcepub fn execution_time(&self) -> i32
pub fn execution_time(&self) -> i32
The amount of time (in seconds) that the job run consumed resources.
sourcepub fn timeout(&self) -> Option<i32>
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).
sourcepub fn max_capacity(&self) -> Option<f64>
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.
sourcepub fn worker_type(&self) -> Option<&WorkerType>
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
Standardworker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2 executors per worker. -
For the
G.1Xworker type, each worker provides 4 vCPU, 16 GB of memory and a 64GB disk, and 1 executor per worker. -
For the
G.2Xworker type, each worker provides 8 vCPU, 32 GB of memory and a 128GB disk, and 1 executor per worker. -
For the
G.025Xworker 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.
sourcepub fn number_of_workers(&self) -> Option<i32>
pub fn number_of_workers(&self) -> Option<i32>
The number of workers of a defined workerType that are allocated when a job runs.
sourcepub fn security_configuration(&self) -> Option<&str>
pub fn security_configuration(&self) -> Option<&str>
The name of the SecurityConfiguration structure to be used with this job run.
sourcepub fn log_group_name(&self) -> Option<&str>
pub fn log_group_name(&self) -> Option<&str>
The name of the log group for secure logging that can be server-side encrypted in Amazon CloudWatch using KMS. This name can be /aws-glue/jobs/, in which case the default encryption is NONE. If you add a role name and SecurityConfiguration name (in other words, /aws-glue/jobs-yourRoleName-yourSecurityConfigurationName/), then that security configuration is used to encrypt the log group.
sourcepub fn notification_property(&self) -> Option<&NotificationProperty>
pub fn notification_property(&self) -> Option<&NotificationProperty>
Specifies configuration properties of a job run notification.
sourcepub fn glue_version(&self) -> Option<&str>
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.
Jobs that are created without specifying a Glue version default to Glue 0.9.
sourcepub fn dpu_seconds(&self) -> Option<f64>
pub fn dpu_seconds(&self) -> Option<f64>
This field populates only for Auto Scaling job runs, and represents the total time each executor ran during the lifecycle of a job run in seconds, multiplied by a DPU factor (1 for G.1X, 2 for G.2X, or 0.25 for G.025X workers). This value may be different than the executionEngineRuntime * MaxCapacity as in the case of Auto Scaling jobs, as the number of executors running at a given time may be less than the MaxCapacity. Therefore, it is possible that the value of DPUSeconds is less than executionEngineRuntime * MaxCapacity.
sourcepub fn execution_class(&self) -> Option<&ExecutionClass>
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.