comphead commented on code in PR #4438:
URL: https://github.com/apache/datafusion-comet/pull/4438#discussion_r3312109156


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spark/src/test/resources/sql-tests/expressions/aggregate/any_value.sql:
##########
@@ -0,0 +1,104 @@
+-- Licensed to the Apache Software Foundation (ASF) under one
+-- or more contributor license agreements.  See the NOTICE file
+-- distributed with this work for additional information
+-- regarding copyright ownership.  The ASF licenses this file
+-- to you under the Apache License, Version 2.0 (the
+-- "License"); you may not use this file except in compliance
+-- with the License.  You may obtain a copy of the License at
+--
+--   http://www.apache.org/licenses/LICENSE-2.0
+--
+-- Unless required by applicable law or agreed to in writing,
+-- software distributed under the License is distributed on an
+-- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+-- KIND, either express or implied.  See the License for the
+-- specific language governing permissions and limitations
+-- under the License.
+
+-- any_value is a RuntimeReplaceableAggregate that Spark's optimizer rewrites
+-- to first(expr, ignoreNulls) before physical planning, so these tests 
exercise
+-- the same Comet path as first_last.sql but pin the any_value name explicitly.
+
+-- ============================================================
+-- Setup: shared tables
+-- ============================================================
+
+statement
+CREATE TABLE test_any_value(i int, grp string) USING parquet
+
+statement
+INSERT INTO test_any_value VALUES (1, 'a'), (2, 'a'), (3, 'a'), (NULL, 'b'), 
(4, 'b')
+
+statement
+CREATE TABLE test_any_value_ignore_nulls(id int, val int, grp string) USING 
parquet
+
+statement
+INSERT INTO test_any_value_ignore_nulls VALUES
+  (1, NULL, 'a'),
+  (2, 10,   'a'),
+  (3, 20,   'a'),
+  (4, NULL, 'b'),
+  (5, 30,   'b'),
+  (6, NULL, 'b')
+
+statement
+CREATE TABLE test_any_value_all_nulls(val int, grp string) USING parquet
+
+statement
+INSERT INTO test_any_value_all_nulls VALUES (NULL, 'a'), (NULL, 'a'), (NULL, 
'b'), (1, 'b')
+
+-- ============================================================
+-- any_value: basic (default behavior includes nulls)
+-- ============================================================
+
+query
+SELECT any_value(i) FROM test_any_value
+
+query
+SELECT grp, any_value(i) FROM test_any_value GROUP BY grp ORDER BY grp
+
+-- ============================================================
+-- any_value with isIgnoreNull literal
+-- ============================================================
+
+-- any_value(expr, true) ignores nulls.
+query
+SELECT any_value(val, true) FROM test_any_value_ignore_nulls
+
+query
+SELECT grp, any_value(val, true) FROM test_any_value_ignore_nulls GROUP BY grp 
ORDER BY grp
+
+-- any_value(expr, false) respects nulls (default).
+query
+SELECT grp, any_value(val, false) FROM test_any_value_ignore_nulls GROUP BY 
grp ORDER BY grp
+
+-- ============================================================
+-- any_value: all-null group with ignoreNulls
+-- ============================================================
+
+-- Group 'a' has all nulls so result is NULL even when ignoring nulls.
+query
+SELECT grp, any_value(val, true) FROM test_any_value_all_nulls GROUP BY grp 
ORDER BY grp
+
+-- ============================================================
+-- any_value alongside other aggregates
+-- ============================================================
+
+query
+SELECT grp,
+  any_value(val, true),
+  count(val),
+  sum(val)
+FROM test_any_value_ignore_nulls GROUP BY grp ORDER BY grp
+
+-- ============================================================
+-- any_value matches first when called identically
+-- ============================================================
+
+-- Same input expression and same ignoreNulls flag should yield identical 
results
+-- because Spark rewrites any_value(x, b) to first(x, b).
+query
+SELECT
+  any_value(val, true) = first(val, true) AS ignore_nulls_match,

Review Comment:
   if its first/last, should it be used with GROUP BY ? 



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