ExecutionStatus

pydantic model openapi_client.models.execution_status.ExecutionStatus

Job execution record returned by list/get execution APIs. Do not use this schema as the trigger request body; use TriggerETLJobExecution.

Fields:
field id: Optional[StrictStr] = None (alias 'Id')

Glue JobRun / execution ID.

field parent_execution_id: Optional[StrictStr] = None (alias 'ParentExecutionId')

Present on re-runs; references the root execution id for lineage (not the immediate parent).

field job_id: Optional[StrictStr] = None (alias 'JobId')
field job_run_state: Optional[StrictStr] = None (alias 'JobRunState')

Glue run state (for example starting, running, succeeded, failed, stopped, stopping, timeout, error).

field started_on: Optional[StrictStr] = None (alias 'StartedOn')
field last_modified_on: Optional[StrictStr] = None (alias 'LastModifiedOn')
field completed_on: Optional[StrictStr] = None (alias 'CompletedOn')
field default_arguments: Optional[Dict[str, StrictStr]] = None (alias 'DefaultArguments')
field message: Optional[StrictStr] = None (alias 'Message')
field metrics: Optional[List[Dict[str, Any]]] = None (alias 'Metrics')
field allocated_capacity: Optional[Union[StrictFloat, StrictInt]] = None (alias 'AllocatedCapacity')
field max_capacity: Optional[Union[StrictFloat, StrictInt]] = None (alias 'MaxCapacity')
field execution_time: Optional[StrictInt] = None (alias 'ExecutionTime')

Number in seconds

field time_out: Optional[StrictInt] = None (alias 'TimeOut')

Number in minutes

field notify_delay_after: Optional[StrictInt] = None (alias 'NotifyDelayAfter')
field worker_type: Optional[StrictStr] = None (alias 'WorkerType')
field number_of_workers: Optional[StrictInt] = None (alias 'NumberOfWorkers')
field extra_metadata: Optional[ExecutionStatusExtraMetadata] = None (alias 'ExtraMetadata')
field network_configuration: Optional[StrictStr] = None (alias 'NetworkConfiguration')
field description: Optional[StrictStr] = None (alias 'Description')
field job_name: Optional[StrictStr] = None (alias 'JobName')
field max_concurrent_runs: Optional[StrictInt] = None (alias 'MaxConcurrentRuns')
field max_retries: Optional[StrictStr] = None (alias 'MaxRetries')
field arguments: Optional[Dict[str, Any]] = None (alias 'Arguments')
field job_bookmark_option: Optional[StrictStr] = None (alias 'JobBookmarkOption')
field start_time: Optional[StrictInt] = None (alias 'StartTime')
field extra_resource_access: Optional[ExecutionStatusExtraResourceAccess] = None (alias 'ExtraResourceAccess')
field log_status: Optional[Dict[str, Any]] = None (alias 'LogStatus')

Per-logtype generation status (for example triggered, available).

field s3_log_path: Optional[Dict[str, Any]] = None (alias 'S3LogPath')
field is_auto_scaling_enabled: Optional[StrictBool] = None (alias 'IsAutoScalingEnabled')
field lineage: Optional[List[Dict[str, Any]]] = None (alias 'Lineage')
field glue_version: Optional[StrictStr] = None (alias 'GlueVersion')
field python_version: Optional[StrictStr] = None (alias 'PythonVersion')
to_str()

Returns the string representation of the model using alias

Return type:

str

to_json()

Returns the JSON representation of the model using alias

Return type:

str

classmethod from_json(json_str)

Create an instance of ExecutionStatus from a JSON string

Return type:

Optional[Self]

to_dict()

Return the dictionary representation of the model using alias.

This has the following differences from calling pydantic’s self.model_dump(by_alias=True):

  • None is only added to the output dict for nullable fields that were set at model initialization. Other fields with value None are ignored.

Return type:

Dict[str, Any]

classmethod from_dict(obj)

Create an instance of ExecutionStatus from a dict

Return type:

Optional[Self]