Datasets:

---

lsliwko

/

google-cluster-data-2019-sorted-by-timestamp

like 0

Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 1 new columns ({'missing_type'})

This happened while the json dataset builder was generating data using

gzip://collection_events-00000000-sorted.json::hf://datasets/lsliwko/google-cluster-data-2019-sorted-by-timestamp@aeedb2f8a2d79fc051db73292374c146f1f8860d/GoogleClusterData2019a/data/collection_events/collection_events-00000000-sorted.json.gz

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 644, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              time: string
              type: string
              collection_id: string
              scheduling_class: string
              collection_type: string
              priority: string
              user: string
              collection_name: string
              collection_logical_name: string
              parent_collection_id: string
              start_after_collection_ids: list<item: string>
                child 0, item: string
              vertical_scaling: string
              scheduler: string
              alloc_collection_id: string
              max_per_machine: string
              max_per_switch: string
              missing_type: string
              to
              {'time': Value('string'), 'type': Value('string'), 'collection_id': Value('string'), 'scheduling_class': Value('string'), 'collection_type': Value('string'), 'priority': Value('string'), 'alloc_collection_id': Value('string'), 'user': Value('string'), 'collection_name': Value('string'), 'collection_logical_name': Value('string'), 'start_after_collection_ids': List(Value('string')), 'max_per_machine': Value('string'), 'vertical_scaling': Value('string'), 'scheduler': Value('string'), 'max_per_switch': Value('string'), 'parent_collection_id': Value('string')}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1451, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 994, in stream_convert_to_parquet
                  builder._prepare_split(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1702, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1833, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 1 new columns ({'missing_type'})
              
              This happened while the json dataset builder was generating data using
              
              gzip://collection_events-00000000-sorted.json::hf://datasets/lsliwko/google-cluster-data-2019-sorted-by-timestamp@aeedb2f8a2d79fc051db73292374c146f1f8860d/GoogleClusterData2019a/data/collection_events/collection_events-00000000-sorted.json.gz
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)