feast-dev · ntkathole · Jan 16, 2026 · Jan 13, 2026 · Jan 13, 2026 · Jan 13, 2026
diff --git a/pyproject.toml b/pyproject.toml
@@ -3,9 +3,9 @@ name = "feast"
 description = "Python SDK for Feast"
 readme = "README.md"
 requires-python = ">=3.10.0"
-license = {file = "LICENSE"}
+license = "Apache-2.0"
+license-files = ["LICENSE"]
 classifiers = [
-    "License :: OSI Approved :: Apache Software License",
     "Programming Language :: Python",
     "Programming Language :: Python :: 3",
     "Programming Language :: Python :: 3.10"
@@ -23,7 +23,7 @@ dependencies = [
     "mmh3",
     "numpy>=2.0.0,<3",
     "pandas>=1.4.3,<3",
-    "pyarrow<=21.0.0",
+    "pyarrow>=21.0.0",
     "pydantic>=2.10.6",
     "pygments>=2.12.0,<3",
     "PyYAML>=5.4.0,<7",
@@ -59,7 +59,7 @@ clickhouse = ["clickhouse-connect>=0.7.19"]
 couchbase = ["couchbase==4.3.2", "couchbase-columnar==1.0.0"]
 delta = ["deltalake<1.0.0"]
 docling = ["docling==2.27.0"]
-duckdb = ["ibis-framework[duckdb]>=9.0.0,<=9.5.0"]
+duckdb = ["ibis-framework[duckdb]>=10.0.0"]
 elasticsearch = ["elasticsearch>=8.13.0"]
 faiss = ["faiss-cpu>=1.7.0,<=1.10.0"]
 gcp = [
@@ -82,9 +82,7 @@ grpcio = [
 hazelcast = ["hazelcast-python-client>=5.1"]
 hbase = ["happybase>=1.2.0,<3"]
 ibis = [
-    "ibis-framework>=9.0.0,<=9.5.0",
-    "ibis-substrait>=4.0.0",
-    "substrait<0.25.0",  # TODO: remove this once we upgrade protobuf 
+    "ibis-framework>=10.0.0",
     "poetry-core<2",
     "poetry-dynamic-versioning",
 ]
@@ -99,11 +97,11 @@ image = [
     "scikit-learn>=1.0.0",
 ]
 milvus = [
-    "pymilvus==2.4.15",
+    "pymilvus>2.5",
     "milvus-lite==2.4.12",
     "feast[setuptools]"
 ]
-mssql = ["ibis-framework[mssql]>=9.0.0,<=9.5.0"]
+mssql = ["ibis-framework[mssql]>=10.0.0"]
 mysql = ["pymysql", "types-PyMySQL"]
 opentelemetry = ["prometheus_client", "psutil"]
 spark = ["pyspark>=4.0.0"]

@@ -33,11 +33,12 @@ def _read_data_source(data_source: DataSource, repo_path: str) -> Table:
     if isinstance(data_source.file_format, ParquetFormat):
         return ibis.read_parquet(data_source.path)
     elif isinstance(data_source.file_format, DeltaFormat):
-        storage_options = {
-            "AWS_ENDPOINT_URL": data_source.s3_endpoint_override,
-        }
-
-        return ibis.read_delta(data_source.path, storage_options=storage_options)
+        if data_source.s3_endpoint_override:
+            storage_options = {
+                "AWS_ENDPOINT_URL": data_source.s3_endpoint_override,
+            }
+            return ibis.read_delta(data_source.path, storage_options=storage_options)
+        return ibis.read_delta(data_source.path)
 
 
 def _write_data_source(

@@ -6,7 +6,6 @@
 from typing import Any, Callable, Dict, List, Optional, Tuple, Union
 
 import ibis
-import ibis.selectors as s
 import numpy as np
 import pandas as pd
 import pyarrow
@@ -393,6 +392,10 @@ def point_in_time_join(
 
     acc_table = entity_table
 
+    # Track the columns we want to keep explicitly
+    entity_columns = list(entity_table.columns)
+    all_feature_cols: List[str] = []
+
     for (
         feature_table,
         timestamp_field,
@@ -432,7 +435,8 @@ def point_in_time_join(
             entity_table, predicates, lname="", rname="{name}_y"
         )
 
-        feature_table = feature_table.drop(s.endswith("_y"))
+        cols_to_drop_y = [c for c in feature_table.columns if c.endswith("_y")]
+        feature_table = feature_table.drop(*cols_to_drop_y)
 
         feature_table = deduplicate(
             table=feature_table,
@@ -445,16 +449,19 @@ def point_in_time_join(
         select_cols.extend(feature_refs)
         feature_table = feature_table.select(select_cols)
 
+        # Track the feature columns we're adding
+        all_feature_cols.extend(feature_refs)
+
         acc_table = acc_table.left_join(
             feature_table,
             predicates=[feature_table.entity_row_id == acc_table.entity_row_id],
             lname="",
             rname="{name}_yyyy",
         )
 
-        acc_table = acc_table.drop(s.endswith("_yyyy"))
-
-    acc_table = acc_table.drop("entity_row_id")
+    # Select only the columns we want: entity columns (minus entity_row_id) + all feature columns
+    final_cols = [c for c in entity_columns if c != "entity_row_id"] + all_feature_cols
+    acc_table = acc_table.select(final_cols)
 
     return acc_table
 

@@ -222,10 +222,11 @@ def _get_or_create_collection(
                             index_name=f"vector_index_{vector_field.name}",
                             params={"nlist": config.online_store.nlist},
                         )
-                self.client.create_index(
-                    collection_name=collection_name,
-                    index_params=index_params,
-                )
+                if len(index_params) > 0:
+                    self.client.create_index(
+                        collection_name=collection_name,
+                        index_params=index_params,
+                    )
             else:
                 self.client.load_collection(collection_name)
             self._collections[collection_name] = self.client.describe_collection(

@@ -175,7 +175,14 @@ def from_ibis(cls, user_function, sources):
 
         import ibis
         import ibis.expr.datatypes as dt
-        from ibis_substrait.compiler.core import SubstraitCompiler
+
+        try:
+            from ibis_substrait.compiler.core import SubstraitCompiler
+        except ImportError:
+            raise ImportError(
+                "Failed to use substrait transformation: 'ibis-substrait' package is not installed. "
+                "Install it with: `pip install ibis-substrait and only if https://github.com/ibis-project/ibis-substrait/issues/1309 issue is resolved."
+            )
 
         compiler = SubstraitCompiler()
 

@@ -17,4 +17,3 @@ filterwarnings =
     ignore::DeprecationWarning:httpx.*:
     ignore::DeprecationWarning:happybase.*:
     ignore::DeprecationWarning:pkg_resources.*:
-    ignore::FutureWarning:ibis_substrait.compiler.*: