class_docstr: A `Dataset` consisting of the results from a SQL query.
class_docstr_tok: ["A","`","Dataset","`","consisting","of","the","results","from","a","SQL","query","."]
code: def __init__(
      self, driver_name, data_source_name, query, output_types
  ):
      wrapped = SqlDatasetV2(
          driver_name, data_source_name, query, output_types
      )
      super(SqlDatasetV1, self).__init__(wrapped)
  
imports: import collections
  import csv
  import functools
  import gzip
  import numpy
  from tensorflow.python import tf2
  from tensorflow.python.compat import v2_compat
  from tensorflow.python.data.experimental.ops import error_ops
  from tensorflow.python.data.experimental.ops import parsing_ops
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.data.ops import map_op
  from tensorflow.python.data.ops import options
  from tensorflow.python.data.ops import readers
  from tensorflow.python.data.util import convert
  from tensorflow.python.data.util import nest
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_spec
  from tensorflow.python.framework import tensor_util
  from tensorflow.python.lib.io import file_io
  from tensorflow.python.ops import gen_experimental_dataset_ops
  from tensorflow.python.ops import io_ops
  from tensorflow.python.platform import gfile
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 1 to create a new SqlDatasetV1 object from inherited base classes: dataset_ops with example: obj = SqlDatasetV1(driver_name, data_source_name, query, output_types)