class_docstr: Utility class to facilitate API queries and state management of
  session data.
class_docstr_tok: ["Utility","class","to","facilitate","API","queries","and","state","management","of","session","data","."]
docstr: Prepares the next batch of data based on the request url and
  the counter index.
  
  Args:
      resource: the init op resource.
  Returns:
      A Tensor containing serialized JSON records.
docstr_tok: ["Prepares","the","next","batch","of","data","based","on","the","request","url","and","the","counter","index",".","Args",":","resource",":","the","init","op","resource",".","Returns",":","A","Tensor","containing","serialized","JSON","records","."]
code: def get_next_batch(self, resource):
      """Prepares the next batch of data based on the request url and
      the counter index.
  
      Args:
          resource: the init op resource.
      Returns:
          A Tensor containing serialized JSON records.
      """
  
      return core_ops.io_mongo_db_readable_next(resource=resource)
  
file_path: io/tensorflow_io/python/experimental/mongodb_dataset_ops.py
imports: from urllib.parse import urlparse
  import tensorflow
  from tensorflow_io.python.ops import core_ops
  from tensorflow_io.python.experimental import serialization_ops
label_desc: Use image node_id 3 for calling the _MongoDBHandler obj's underlying member method code with example usage: obj.get_next_batch(resource) and returns: core_ops