Insert rows into a table via the streaming API.

        See
        https://cloud.google.com/bigquery/docs/reference/rest/v2/tabledata/insertAll

        Args:
            table (Union[ \
                :class:`~google.cloud.bigquery.table.Table`, \
                :class:`~google.cloud.bigquery.table.TableReference`, \
                str, \
            ]):
                The destination table for the row data, or a reference to it.
            rows (Union[ \
                Sequence[Tuple], \
                Sequence[dict], \
            ]):
                Row data to be inserted. If a list of tuples is given, each
                tuple should contain data for each schema field on the
                current table and in the same order as the schema fields. If
                a list of dictionaries is given, the keys must include all
                required fields in the schema. Keys which do not correspond
                to a field in the schema are ignored.
            selected_fields (Sequence[ \
                :class:`~google.cloud.bigquery.schema.SchemaField`, \
            ]):
                The fields to return. Required if ``table`` is a
                :class:`~google.cloud.bigquery.table.TableReference`.
            kwargs (dict):
                Keyword arguments to
                :meth:`~google.cloud.bigquery.client.Client.insert_rows_json`.

        Returns:
            Sequence[Mappings]:
                One mapping per row with insert errors: the "index" key
                identifies the row, and the "errors" key contains a list of
                the mappings describing one or more problems with the row.

        Raises:
            ValueError: if table's schema is not set

def insert_rows(self, table, rows, selected_fields=None, **kwargs):
        """Insert rows into a table via the streaming API.

        See
        https://cloud.google.com/bigquery/docs/reference/rest/v2/tabledata/insertAll

        Args:
            table (Union[ \
                :class:`~google.cloud.bigquery.table.Table`, \
                :class:`~google.cloud.bigquery.table.TableReference`, \
                str, \
            ]):
                The destination table for the row data, or a reference to it.
            rows (Union[ \
                Sequence[Tuple], \
                Sequence[dict], \
            ]):
                Row data to be inserted. If a list of tuples is given, each
                tuple should contain data for each schema field on the
                current table and in the same order as the schema fields. If
                a list of dictionaries is given, the keys must include all
                required fields in the schema. Keys which do not correspond
                to a field in the schema are ignored.
            selected_fields (Sequence[ \
                :class:`~google.cloud.bigquery.schema.SchemaField`, \
            ]):
                The fields to return. Required if ``table`` is a
                :class:`~google.cloud.bigquery.table.TableReference`.
            kwargs (dict):
                Keyword arguments to
                :meth:`~google.cloud.bigquery.client.Client.insert_rows_json`.

        Returns:
            Sequence[Mappings]:
                One mapping per row with insert errors: the "index" key
                identifies the row, and the "errors" key contains a list of
                the mappings describing one or more problems with the row.

        Raises:
            ValueError: if table's schema is not set
        """
        table = _table_arg_to_table(table, default_project=self.project)

        if not isinstance(table, Table):
            raise TypeError(_NEED_TABLE_ARGUMENT)

        schema = table.schema

        # selected_fields can override the table schema.
        if selected_fields is not None:
            schema = selected_fields

        if len(schema) == 0:
            raise ValueError(
                (
                    "Could not determine schema for table '{}'. Call client.get_table() "
                    "or pass in a list of schema fields to the selected_fields argument."
                ).format(table)
            )

        json_rows = [_record_field_to_json(schema, row) for row in rows]

        return self.insert_rows_json(table, json_rows, **kwargs)