TriggerETLJobExecution

pydantic model openapi_client.models.trigger_etl_job_execution.TriggerETLJobExecution

Optional per-run overrides for POST /jobs/{id}/executions. Unknown keys are rejected (IPV-1040).

Fields:

• allocated_capacity (float | int | None)

• default_arguments (Dict[str, str] | None)

• is_auto_scaling_enabled (bool | None)

• is_data_lineage_enabled (str | None)

• job_bookmark_option (str | None)

• job_name (str | None)

• max_capacity (float | int | None)

• max_concurrent_runs (int | None)

• network_configuration (str | None)

• notify_delay_after (int | None)

• number_of_workers (int | None)

• scala_version (str | None)

• shared_libraries (List[str] | None)

• timeout (int | None)

• worker_type (str | None)

field job_name: Optional[StrictStr] = None (alias 'JobName')

Ignored; overwritten with the job’s JobName.

field max_concurrent_runs: Optional[StrictInt] = None (alias 'MaxConcurrentRuns')

Stored on execution metadata; not applied to Glue start args.

field default_arguments: Optional[Dict[str, StrictStr]] = None (alias 'DefaultArguments')

Merged into Glue run Arguments. Reserved keys cannot differ from job metadata (JOB-1002).

field allocated_capacity: Optional[Union[StrictFloat, StrictInt]] = None (alias 'AllocatedCapacity')

Remapped to MaxCapacity when provided.

field max_capacity: Optional[Union[StrictFloat, StrictInt]] = None (alias 'MaxCapacity')

DPUs for the run. Cannot be combined with WorkerType/NumberOfWorkers. Spark Glue >= 2.0 should use workers instead. Pythonshell values must be 0.0625 or 1.

field timeout: Optional[StrictInt] = None (alias 'Timeout')

Run timeout in minutes.

field notify_delay_after: Optional[StrictInt] = None (alias 'NotifyDelayAfter')

Maps to NotificationProperty.NotifyDelayAfter.

field worker_type: Optional[StrictStr] = None (alias 'WorkerType')

Spark only. Must be provided with NumberOfWorkers.

field number_of_workers: Optional[StrictInt] = None (alias 'NumberOfWorkers')

Required with WorkerType for spark runs.

field job_bookmark_option: Optional[StrictStr] = None (alias 'JobBookmarkOption')

Stored on the execution row. Pythonshell cannot use enable/pause. Bookmark option is written to Glue only when also present in DefaultArguments.

field shared_libraries: Optional[List[StrictStr]] = None (alias 'SharedLibraries')

Stored on execution metadata; not applied to Glue start args.

field network_configuration: Optional[StrictStr] = None (alias 'NetworkConfiguration')

Stored on execution metadata; not applied to Glue start args.

field scala_version: Optional[StrictStr] = None (alias 'ScalaVersion')

Stored on execution metadata; not applied to Glue start args.

field is_auto_scaling_enabled: Optional[StrictBool] = None (alias 'IsAutoScalingEnabled')

Must be a boolean. When true, writes –enable-auto-scaling into run Arguments.

field is_data_lineage_enabled: Optional[StrictStr] = None (alias 'IsDataLineageEnabled')

Stored on execution metadata; lineage configuration comes from the job item.

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 TriggerETLJobExecution 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 TriggerETLJobExecution from a dict

Return type:

Optional[Self]