class Aws::Glue::Types::JobRun

Contains information about a job run.

@!attribute [rw] id

The ID of this job run.
@return [String]

@!attribute [rw] attempt

The number of the attempt to run this job.
@return [Integer]

@!attribute [rw] previous_run_id

The ID of the previous run of this job. For example, the `JobRunId`
specified in the `StartJobRun` action.
@return [String]

@!attribute [rw] trigger_name

The name of the trigger that started this job run.
@return [String]

@!attribute [rw] job_name

The name of the job definition being used in this run.
@return [String]

@!attribute [rw] started_on

The date and time at which this job run was started.
@return [Time]

@!attribute [rw] last_modified_on

The last time that this job run was modified.
@return [Time]

@!attribute [rw] completed_on

The date and time that this job run completed.
@return [Time]

@!attribute [rw] job_run_state

The current state of the job run. For more information about the
statuses of jobs that have terminated abnormally, see [Glue Job Run
Statuses][1].

[1]: https://docs.aws.amazon.com/glue/latest/dg/job-run-statuses.html
@return [String]

@!attribute [rw] arguments

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][1] 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][2] topic in
the developer guide.

[1]: https://docs.aws.amazon.com/glue/latest/dg/aws-glue-programming-python-calling.html
[2]: https://docs.aws.amazon.com/glue/latest/dg/aws-glue-programming-etl-glue-arguments.html
@return [Hash<String,String>]

@!attribute [rw] error_message

An error message associated with this job run.
@return [String]

@!attribute [rw] predecessor_runs

A list of predecessors to this job run.
@return [Array<Types::Predecessor>]

@!attribute [rw] allocated_capacity

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][1].

[1]: https://aws.amazon.com/glue/pricing/
@return [Integer]

@!attribute [rw] execution_time

The amount of time (in seconds) that the job run consumed resources.
@return [Integer]

@!attribute [rw] timeout

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. The default is 2,880 minutes (48 hours). This
overrides the timeout value set in the parent job.
@return [Integer]

@!attribute [rw] max_capacity

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][1].

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 from 2 to 100
  DPUs. The default is 10 DPUs. This job type cannot have a
  fractional DPU allocation.

[1]: https://aws.amazon.com/glue/pricing/
@return [Float]

@!attribute [rw] worker_type

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 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.
@return [String]

@!attribute [rw] number_of_workers

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`.
@return [Integer]

@!attribute [rw] security_configuration

The name of the `SecurityConfiguration` structure to be used with
this job run.
@return [String]

@!attribute [rw] log_group_name

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.
@return [String]

@!attribute [rw] notification_property

Specifies configuration properties of a job run notification.
@return [Types::NotificationProperty]

@!attribute [rw] glue_version

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][1] in
the developer guide.

Jobs that are created without specifying a Glue version default to
Glue 0.9.

[1]: https://docs.aws.amazon.com/glue/latest/dg/add-job.html
@return [String]

@see docs.aws.amazon.com/goto/WebAPI/glue-2017-03-31/JobRun AWS API Documentation

Constants

SENSITIVE