fix: use random table when loading data for read_csv, read_json, read_parquet (#175)

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Author: ashleyxuu

bigframes/session/__init__.py

@@ -806,7 +806,7 @@ def _read_gbq_with_ordering(
  def _read_bigquery_load_job(
  self,
  filepath_or_buffer: str | IO["bytes"],
- table: bigquery.Table,
+ table: Union[bigquery.Table, bigquery.TableReference],
  *,
  job_config: bigquery.LoadJobConfig,
  index_col: Iterable[str] | str = (),
@@ -1042,7 +1042,7 @@ def read_csv(
  encoding: Optional[str] = None,
  **kwargs,
  ) -> dataframe.DataFrame:
- table = bigquery.Table(self._create_session_table())
+ table = bigframes_io.random_table(self._anonymous_dataset)
 
  if engine is not None and engine == "bigquery":
  if any(param is not None for param in (dtype, names)):
@@ -1156,7 +1156,7 @@ def read_parquet(
  # Note: "engine" is omitted because it is redundant. Loading a table
  # from a pandas DataFrame will just create another parquet file + load
  # job anyway.
- table = bigquery.Table(self._create_session_table())
+ table = bigframes_io.random_table(self._anonymous_dataset)
 
  job_config = bigquery.LoadJobConfig()
  job_config.create_disposition = bigquery.CreateDisposition.CREATE_IF_NEEDED
@@ -1179,7 +1179,7 @@ def read_json(
  engine: Literal["ujson", "pyarrow", "bigquery"] = "ujson",
  **kwargs,
  ) -> dataframe.DataFrame:
- table = bigquery.Table(self._create_session_table())
+ table = bigframes_io.random_table(self._anonymous_dataset)
 
  if engine == "bigquery":