René's URL Explorer Experiment

{"@context":"https://schema.org","@type":"DiscussionForumPosting","headline":"Handle Empty Dataframe write to feature store","articleBody":"Problem Statement:\n---------------------\nFor now, if you do provide the empty dataframe to the write to the online store, the feast does not throws exception nor it rejects the empty dataframe.\n\nits not failing not only for remote store but for any. I think it's good to identify the empty data at the higher level than at the store class level.\n\n_Originally posted by @jyejare in https://github.com/feast-dev/feast/pull/5422#discussion_r2132072176_\n            \nExample:\n----------\n```\nevent_df = pd.DataFrame(\n  {\n      \"driver_id\": [1000, 1001],\n      \"conv_rate\": [],\n      \"acc_rate\": [],\n      \"avg_daily_trips\": [],\n      \"event_timestamp\": [],\n      \"created\": [],\n  }\n)\n# OR event a complete empty Dataframe like pd.DataFrame({})\n# Perform the online write push\nclient_store.push(\n    push_source_name=\"driver_stats_push_source\", df=event_df, to=PushMode.ONLINE\n)\n```","author":{"url":"https://github.com/jyejare","@type":"Person","name":"jyejare"},"datePublished":"2025-06-06T12:25:15.000Z","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/CommentAction","userInteractionCount":1},"url":"https://github.com/5428/feast/issues/5428"}