fix: return only "current" iceberg columns

awswrangler/athena/_write_iceberg.py

@@ -115,7 +115,13 @@ def _determine_differences(
 
     catalog_column_types = typing.cast(
         Dict[str, str],
-        catalog.get_table_types(database=database, table=table, catalog_id=catalog_id, boto3_session=boto3_session),
+        catalog.get_table_types(
+            database=database,
+            table=table,
+            catalog_id=catalog_id,
+            filter_iceberg_current=True,
+            boto3_session=boto3_session,
+        ),
     )
 
     original_column_names = set(catalog_column_types)

awswrangler/catalog/_get.py

@@ -107,6 +107,7 @@ def get_table_types(
     database: str,
     table: str,
     catalog_id: str | None = None,
+    filter_iceberg_current: bool = False,
     boto3_session: boto3.Session | None = None,
 ) -> dict[str, str] | None:
     """Get all columns and types from a table.
@@ -120,6 +121,9 @@ def get_table_types(
     catalog_id
         The ID of the Data Catalog from which to retrieve Databases.
         If ``None`` is provided, the AWS account ID is used by default.
+    filter_iceberg_current
+        If True, returns only current iceberg fields (fields marked with iceberg.field.current: true).
+        Otherwise, returns the all fields. False by default (return all fields).
     boto3_session
         The default boto3 session will be used if **boto3_session** receive ``None``.
 
@@ -139,7 +143,10 @@ def get_table_types(
         response = client_glue.get_table(**_catalog_id(catalog_id=catalog_id, DatabaseName=database, Name=table))
     except client_glue.exceptions.EntityNotFoundException:
         return None
-    return _extract_dtypes_from_table_details(response=response)
+    return _extract_dtypes_from_table_details(
+        response=response,
+        filter_iceberg_current=filter_iceberg_current,
+    )
 
 
 def get_databases(

awswrangler/catalog/_utils.py

@@ -31,10 +31,16 @@ def _sanitize_name(name: str) -> str:
     return re.sub("[^A-Za-z0-9_]+", "_", name).lower()  # Replacing non alphanumeric characters by underscore
 
 
-def _extract_dtypes_from_table_details(response: "GetTableResponseTypeDef") -> dict[str, str]:
+def _extract_dtypes_from_table_details(
+    response: "GetTableResponseTypeDef",
+    filter_iceberg_current: bool = False,
+) -> dict[str, str]:
     dtypes: dict[str, str] = {}
     for col in response["Table"]["StorageDescriptor"]["Columns"]:
-        dtypes[col["Name"]] = col["Type"]
+        # Only return current fields if flag is enabled
+        if not filter_iceberg_current or col.get("Parameters", {}).get("iceberg.field.current") == "true":
+            dtypes[col["Name"]] = col["Type"]
+    # Add partition keys as columns
     if "PartitionKeys" in response["Table"]:
         for par in response["Table"]["PartitionKeys"]:
             dtypes[par["Name"]] = par["Type"]

tests/unit/test_athena_iceberg.py

@@ -1159,3 +1159,55 @@ def test_to_iceberg_fill_missing_columns_with_complex_types(
         schema_evolution=True,
         fill_missing_columns_in_df=True,
     )
+
+
+def test_athena_to_iceberg_alter_schema(
+    path: str,
+    path2: str,
+    glue_database: str,
+    glue_table: str,
+) -> None:
+    df = pd.DataFrame(
+        {
+            "id": pd.Series([1, 2, 3, 4, 5], dtype="Int64"),
+            "name": pd.Series(["a", "b", "c", "d", "e"], dtype="string"),
+        },
+    ).reset_index(drop=True)
+
+    split_index = 3
+
+    wr.athena.to_iceberg(
+        df=df[:split_index],
+        database=glue_database,
+        table=glue_table,
+        table_location=path,
+        temp_path=path2,
+        schema_evolution=True,
+        keep_files=False,
+    )
+
+    wr.athena.start_query_execution(
+        sql=f"ALTER TABLE {glue_table} CHANGE COLUMN id new_id bigint",
+        database=glue_database,
+        wait=True,
+    )
+
+    df = df.rename(columns={"id": "new_id"})
+
+    wr.athena.to_iceberg(
+        df=df[split_index:],
+        database=glue_database,
+        table=glue_table,
+        table_location=path,
+        temp_path=path2,
+        schema_evolution=True,
+        keep_files=False,
+    )
+
+    df_actual = wr.athena.read_sql_query(
+        sql=f"SELECT new_id, name FROM {glue_table} ORDER BY new_id",
+        database=glue_database,
+        ctas_approach=False,
+    )
+
+    assert_pandas_equals(df, df_actual)