class_docstr: This entity may change or be removed in a future release without warning.
  SQLAlchemy compliant backend store for tracking meta data for MLflow entities. MLflow
  supports the database dialects ``mysql``, ``mssql``, ``sqlite``, and ``postgresql``.
  As specified in the
  `SQLAlchemy docs <https://docs.sqlalchemy.org/en/latest/core/engines.html#database-urls>`_ ,
  the database URI is expected in the format
  ``<dialect>+<driver>://<username>:<password>@<host>:<port>/<database>``. If you do not
  specify a driver, SQLAlchemy uses a dialect's default driver.
  
  This store interacts with SQL store using SQLAlchemy abstractions defined for MLflow entities.
  :py:class:`mlflow.store.model_registry.models.RegisteredModel` and
  :py:class:`mlflow.store.model_registry.models.ModelVersion`
docstr: :return: A list of SQLAlchemy query options that can be used to eagerly
          load the following model version attributes
          when fetching a model version: ``model_version_tags``.
docstr_tok: [":","return",":","A","list","of","SQLAlchemy","query","options","that","can","be","used","to","eagerly","load","the","following","model","version","attributes","when","fetching","a","model","version",":","``","model_version_tags","``","."]
code: def _get_eager_model_version_query_options():
      """
      :return: A list of SQLAlchemy query options that can be used to eagerly
              load the following model version attributes
              when fetching a model version: ``model_version_tags``.
      """
      # Use a subquery load rather than a joined load in order to minimize the memory overhead
      # of the eager loading procedure. For more information about relationship loading
      # techniques, see https://docs.sqlalchemy.org/en/13/orm/
      # loading_relationships.html#relationship-loading-techniques
      return [
          sqlalchemy.orm.subqueryload(
              SqlModelVersion.model_version_tags
          )
      ]
  
imports: import logging
  import urllib
  import sqlalchemy
  from sqlalchemy.future import select
  import mlflow.store.db.utils
  from mlflow.entities.model_registry.model_version_stages import ALL_STAGES, DEFAULT_STAGES_FOR_GET_LATEST_VERSIONS, STAGE_ARCHIVED, STAGE_DELETED_INTERNAL, get_canonical_stage
  from mlflow.exceptions import MlflowException
  from mlflow.protos.databricks_pb2 import INVALID_PARAMETER_VALUE, INVALID_STATE, RESOURCE_ALREADY_EXISTS, RESOURCE_DOES_NOT_EXIST
  from mlflow.store.artifact.utils.models import _parse_model_uri
  from mlflow.store.entities.paged_list import PagedList
  from mlflow.store.model_registry import SEARCH_MODEL_VERSION_MAX_RESULTS_DEFAULT, SEARCH_MODEL_VERSION_MAX_RESULTS_THRESHOLD, SEARCH_REGISTERED_MODEL_MAX_RESULTS_DEFAULT, SEARCH_REGISTERED_MODEL_MAX_RESULTS_THRESHOLD
  from mlflow.store.model_registry.abstract_store import AbstractStore
  from mlflow.store.model_registry.dbmodels.models import SqlModelVersion, SqlModelVersionTag, SqlRegisteredModel, SqlRegisteredModelAlias, SqlRegisteredModelTag
  from mlflow.utils.search_utils import SearchModelUtils, SearchModelVersionUtils, SearchUtils
  from mlflow.utils.time import get_current_time_millis
  from mlflow.utils.uri import extract_db_type_from_uri
  from mlflow.utils.validation import _validate_model_alias_name, _validate_model_name, _validate_model_version, _validate_model_version_tag, _validate_registered_model_tag, _validate_tag_name
label_desc: Use image node_id 6 for calling the SqlAlchemyStore obj's underlying member method code with example usage: obj._get_eager_model_version_query_options() and returns: list