Datasets:

---

asoria

/

duckdb_test

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
domain: string
perspectives: list<element: string>
  child 0, element: string
topics: list<element: string>
  child 0, element: string
examples: list<element: struct<question: string, answer: string>>
  child 0, element: struct<question: string, answer: string>
      child 0, question: string
      child 1, answer: string
domain_expert_prompt: string
to
{'Country': Value(dtype='string', id=None), 'Population': Value(dtype='int64', id=None), 'Birthrate': Value(dtype='string', id=None), 'Deathrate': Value(dtype='string', id=None)}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/libs/libcommon/src/libcommon/parquet_utils.py", line 437, in query
                  pa_table = pa.concat_tables(
                File "pyarrow/table.pxi", line 5317, in pyarrow.lib.concat_tables
                File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: Schema at index 1 was different: 
              Country: string
              Population: int64
              Birthrate: string
              Deathrate: string
              vs
              
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 105, in get_rows_content
                  pa_table = rows_index.query(offset=0, length=rows_max_number)
                File "/src/libs/libcommon/src/libcommon/parquet_utils.py", line 586, in query
                  return self.parquet_index.query(offset=offset, length=length)
                File "/src/libs/libcommon/src/libcommon/parquet_utils.py", line 444, in query
                  raise SchemaMismatchError("Parquet files have different schema.", err)
              libcommon.parquet_utils.SchemaMismatchError: ('Parquet files have different schema.', ArrowInvalid('Schema at index 1 was different: \nCountry: string\nPopulation: int64\nBirthrate: string\nDeathrate: string\nvs\n'))
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 322, in compute
                  compute_first_rows_from_parquet_response(
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 119, in compute_first_rows_from_parquet_response
                  return create_first_rows_response(
                File "/src/libs/libcommon/src/libcommon/viewer_utils/rows.py", line 135, in create_first_rows_response
                  rows_content = get_rows_content(rows_max_number)
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 114, in get_rows_content
                  raise SplitParquetSchemaMismatchError(
              libcommon.exceptions.SplitParquetSchemaMismatchError: Split parquet files being processed have different schemas. Ensure all files have identical column names.
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 96, in get_rows_or_raise
                  return get_rows(
                File "/src/libs/libcommon/src/libcommon/utils.py", line 183, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 73, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1389, in __iter__
                  for key, example in ex_iterable:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 282, in __iter__
                  for key, pa_table in self.generate_tables_fn(**self.kwargs):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/parquet/parquet.py", line 97, in _generate_tables
                  yield f"{file_idx}_{batch_idx}", self._cast_table(pa_table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/parquet/parquet.py", line 75, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2302, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              domain: string
              perspectives: list<element: string>
                child 0, element: string
              topics: list<element: string>
                child 0, element: string
              examples: list<element: struct<question: string, answer: string>>
                child 0, element: struct<question: string, answer: string>
                    child 0, question: string
                    child 1, answer: string
              domain_expert_prompt: string
              to
              {'Country': Value(dtype='string', id=None), 'Population': Value(dtype='int64', id=None), 'Birthrate': Value(dtype='string', id=None), 'Deathrate': Value(dtype='string', id=None)}
              because column names don't match