Hey Everyone
I am getting below errors while the pipeline is trying to push some data to s3. Any headsup ?ClientError: An error occurred (400) when calling the HeadObject operation: Bad Request The above exception was the direct cause of the following exception:DatasetError: Failed while saving data to data set CSVDataset(filepath=ml-datawarehouse/warehouse/extraction/doc_table_insert.csv, load_args={}, protocol=s3, save_args={'index': False}, version=Version(load=None, save='2024-10-15T15.35.46.341Z')).[Errno 22] Bad Request
Hi Vishal, Is this happening for all the datasets that are saved to s3 or this particular entry ?
Hey Thanks for responding. So it was a simple credential issue, the aws session got expired . Although I am getting a new issue now even after saving the data to s3.INFO Saving data to training_data_insert_records (CSVDataset)... data_catalog.py:581 INFO Saving data to case_data_insert_records (CSVDataset)... data_catalog.py:581 INFO Saving data to s3_insertion_records (CSVDataset)... data_catalog.py:581[10/15/24 21:18:18] INFO Completed 2 out of 5 tasks sequential_runner.py:93 INFO Loading data from doc_table (TableDataset)... data_catalog.py:539 INFO Loading data from case_table (TableDataset)... data_catalog.py:539 INFO Loading data from user_table (TableDataset)... data_catalog.py:539 INFO Loading data from parameters (MemoryDataset)... data_catalog.py:539[10/15/24 21:18:26] ERROR Future exception was never retrieved base_events.py:1758 future: <future> ClientOSError: [Errno 32] Broken pipe The above exception was the direct cause of the following exception: ConnectionError: Connection lost
