class_docstr: Entry point for reading data from Cloud BigQuery.
code: def __init__(
      self,
      parent,
      project_id,
      table_id,
      dataset_id,
      selected_fields,
      selected_fields_repeated,
      output_types,
      default_values,
      row_restriction,
      requested_streams,
      data_format,
      streams,
      schema,
      client_resource,
  ):
      self._parent = parent
      self._project_id = project_id
      self._table_id = table_id
      self._dataset_id = dataset_id
      self._selected_fields = selected_fields
      self._selected_fields_repeated = selected_fields_repeated
      self._output_types = output_types
      self._default_values = default_values
      self._row_restriction = row_restriction
      self._requested_streams = requested_streams
      self._data_format = data_format
      self._streams = streams
      self._schema = schema
      self._client_resource = client_resource
  
imports: import collections
  import enum
  import tensorflow
  from operator import itemgetter
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import tensor_spec
  from tensorflow.python.util import deprecation
  from tensorflow_io.python.ops import core_ops
label_desc: Use image node_id 1 to create a new BigQueryReadSession object  with example: obj = BigQueryReadSession(parent, project_id, table_id, dataset_id, selected_fields, selected_fields_repeated, output_types, default_values, row_restriction, requested_streams, data_format, streams, schema, client_resource)