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feat: DuckDB historical retrieval without entity dataframe #6108

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a8aea3f
support historical retrieval without entity_df
Vperiodt Mar 14, 2026
b2bec2e
test cases
Vperiodt Mar 15, 2026
14d79e8
fix-lint
Vperiodt Mar 15, 2026
10b7f70
fix issue
Vperiodt Mar 16, 2026
2d8252b
fix rename
Vperiodt Mar 16, 2026
c2a6449
addressed reviews
Vperiodt Mar 24, 2026
04d72fd
fix-lint
Vperiodt Apr 10, 2026
ecb84b8
fix-lint
Vperiodt Apr 13, 2026
81df5a2
address-reviews
Vperiodt Apr 16, 2026
ff5471d
fix
Vperiodt Apr 16, 2026
da63740
fix
Vperiodt Apr 17, 2026
9d6ddec
fix
Vperiodt Apr 17, 2026
585f11d
Merge branch 'master' into patch-dataframe
Vperiodt Jul 17, 2026
9edb04c
Merge branch 'master' into patch-dataframe
Vperiodt Jul 27, 2026
fca02d9
Merge branch 'master' into patch-dataframe
Vperiodt Jul 30, 2026
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Merge branch 'master' into patch-dataframe
Vperiodt Jul 30, 2026
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Merge branch 'feast-dev:master' into patch-dataframe
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647baf9
fix CI
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376f972
Merge branch 'master' into patch-dataframe
jyejare Jul 30, 2026
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fix-lint 
Signed-off-by: Vanshika Vanshika <vvanshik@redhat.com>

rh-pre-commit.version: 2.3.2
rh-pre-commit.check-secrets: ENABLED
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@Vperiodt
Vperiodt committed Apr 17, 2026
commit 14d79e8fdde79f0ba2264c1965478571d7f50769
8 changes: 3 additions & 5 deletions sdk/python/feast/infra/offline_stores/duckdb.py
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Original file line number Diff line number Diff line change
Expand Up @@ -124,11 +124,7 @@ def _build_entity_df_from_sources(
end_date: datetime,
data_source_reader: Callable[[DataSource, str], Table],
) -> pd.DataFrame:
"""Derive an entity DataFrame from feature view sources for non-entity retrieval.

Reads distinct join keys from each feature view source within the time window,
unions them, and adds event_timestamp = end_date for point-in-time joins.
"""
entity_dfs: List[pd.DataFrame] = []

for fv in feature_views:
Expand Down Expand Up @@ -157,7 +153,9 @@ def _build_entity_df_from_sources(
entity_dfs.append(distinct_entities)

if not entity_dfs:
return pd.DataFrame({DEFAULT_ENTITY_DF_EVENT_TIMESTAMP_COL: [end_date]})
return pd.DataFrame(
{DEFAULT_ENTITY_DF_EVENT_TIMESTAMP_COL: [end_date]}
)

combined = pd.concat(entity_dfs, ignore_index=True)

Expand Down