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Cannot use spark_event_logs_s3_uri in PySparkProcessor job #6253
Description
PySDK Version
- PySDK V2 (2.x)
- PySDK V3 (3.x)
Describe the bug
Similar to #6252 - PySparkProcessor run no longer handles spark_event_logs_s3_uri due to changes in the ProcessingOutput interface - e.g. regression introduced in 3203e49
To reproduce
Provide any (valid) S3 URI for the spark log location.
Expected behavior
Successfully starts the job.
Screenshots or logs
ValidationError: 4 validation errors for ProcessingOutput
output_name
Field required [type=missing, input_value={'source': '/opt/ml/proce...oad_mode': 'Continuous'}, input_type=dict]
For further information visit https://errors.pydantic.dev/2.13/v/missing
source
Extra inputs are not permitted [type=extra_forbidden, input_value='/opt/ml/processing/spark-events/', input_type=str]
For further information visit https://errors.pydantic.dev/2.13/v/extra_forbidden
destination
Extra inputs are not permitted [type=extra_forbidden, input_value='s3://...', input_type=str]
For further information visit https://errors.pydantic.dev/2.13/v/extra_forbidden
s3_upload_mode
Extra inputs are not permitted [type=extra_forbidden, input_value='Continuous', input_type=str]
For further information visit https://errors.pydantic.dev/2.13/v/extra_forbidden
The cause of the error is here:
output = ProcessingOutput(
source=_SparkProcessorBase._spark_event_log_default_local_path,
destination=spark_event_logs_s3_uri,
s3_upload_mode="Continuous",
)System information
- AWS SageMaker Studio 4.4.3
- sagemaker-core: 2.20
- Python 3.12.14
- uname: Linux default 6.12.103-127.188.amzn2023.x86_64 SMP PREEMPT_DYNAMIC Tue Aug 25 15:42:53 UTC 2026 x86_64 x86_64 x86_64 GNU/Linux
Activity
fix(processing): Fix V3 shape regressions in processors
fix(processing): Fix V3 shape regressions in processors
fix(processing): Fix V3 shape regressions + KMS/requirements gaps in …