class_docstr: A `Dataset` consisting of the results from a SQL query.
  
  `SqlDataset` allows a user to read data from the result set of a SQL query.
  For example:
  
  ```python
  dataset = tf.data.experimental.SqlDataset("sqlite", "/foo/bar.sqlite3",
                                            "SELECT name, age FROM people",
                                            (tf.string, tf.int32))
  # Prints the rows of the result set of the above query.
  for element in dataset:
    print(element)
  ```
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code: def element_spec(self):
      return self._element_spec
  
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 2 for calling the SqlDatasetV2 obj's underlying member method code with example usage: obj.element_spec() and returns: self