topic Re: FutureWarning: ``databricks.feature_store.entities.feature_table.FeatureTable.keys`` is deprecated since v0.3.6 in Data Engineering

FutureWarning: ``databricks.feature_store.entities.feature_table.FeatureTable.keys`` is deprecated since v0.3.6

lawrence009 — Sun, 27 Nov 2022 10:08:30 GMT

I'm getting this message with the following code:

from databricks import feature_store
 
fs = feature_store.FeatureStoreClient()
 
fs.create_table(
    name='feature_store.user_login',
    primary_keys=['user_id'],
    df=df_x,
    description='user login features'
)

and I couldn't figure out why from the warning message below:

INFO databricks.feature_store._compute_client._compute_client: Created feature table 'hive_metastore.feature_store.user_login'.
 
/databricks/.python_edge_libs/databricks/feature_store/entities/_feature_store_object.py:8: FutureWarning: ``databricks.feature_store.entities.feature_table.FeatureTable.keys`` is deprecated since v0.3.6. This method will be removed in a future release. Use ``FeatureTable.primary_keys`` instead.
 
  yield prop, self.__getattribute__(prop)
 
Out[3]: <FeatureTable: keys=['user_id'], tags={}>

My runtime is 11.3 LTS ML (includes Apache Spark 3.3.0, Scala 2.12)

Re: FutureWarning: ``databricks.feature_store.entities.feature_table.FeatureTable.keys`` is deprecated since v0.3.6

DavideAnghileri — Mon, 28 Nov 2022 13:56:52 GMT

Hi @Lawrence Chen,

It looks like a Databricks bug. As you can see the warning comes from a statement in the private `_feature_store_object.py` file. I don't think there is much you can do about it if not ignoring it and wait the fix. It seems like if they are still searching also for the old attribute.

Re: FutureWarning: ``databricks.feature_store.entities.feature_table.FeatureTable.keys`` is deprecated since v0.3.6

lawrence009 — Mon, 28 Nov 2022 22:18:36 GMT

Should we (customers) report or log this bug somewhere official?

Re: FutureWarning: ``databricks.feature_store.entities.feature_table.FeatureTable.keys`` is deprecated since v0.3.6

DavideAnghileri — Tue, 29 Nov 2022 08:45:34 GMT

Yes, it's a nice thing to do. You can report it here: https://community.databricks.com/s/topic/0TO3f000000CnKrGAK/bug-report and if it's more urgent or blocking for you, you can also open a ticket to the help center: https://docs.databricks.com/resources/support.html?_ga=2.197483180.2058443561.1669642481-1501519142.1666096999